Charging and discharging control method, device, equipment, medium and computer program product

Abstract

The application relates to a charging and discharging control method, device, equipment, medium and computer program product. The method comprises the following steps: obtaining equipment operation information and state of charge information of a power equipment in an operation cycle; determining equipment operation time length information of the power equipment in the operation cycle based on the equipment operation information, and determining a high-end trigger number and a low-end trigger number of the power equipment in the operation cycle according to the state of charge information; calculating the low-end trigger number and the high-end trigger number to obtain a lithium analysis risk evaluation parameter of the power equipment; in the case that it is determined that there is an adjustment strategy opening condition matched with the power equipment based on the equipment operation time length information and the lithium analysis risk evaluation parameter, determining a target charging and discharging adjustment strategy of the power equipment according to the adjustment strategy opening condition; and controlling the charging and discharging of the power equipment according to the target charging and discharging adjustment strategy. The method can effectively optimize the charging and discharging state of the power equipment and relieve the lithium analysis phenomenon.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery management, in particular to a charging and discharging method and device, computer equipment, storage medium and computer program product. BACKGROUND

[0002] A power device is a device that uses a battery as a power source, converts the chemical energy stored in the battery into electrical energy, and then converts the electrical energy into mechanical energy through a motor or other device to achieve energy use. Therefore, battery technology has become one of the core factors that determine the performance and service life of power devices such as new energy vehicles. Charging and discharging management of power devices is an effective means to optimize the charging and discharging state of battery cells in power devices, prolong the service life of batteries, and improve device performance.

[0003] The current battery management system usually uses a fixed charging and discharging strategy to manage the charging and discharging of power devices, such as using preset voltage, current, temperature and other threshold values to achieve unified control, which can easily lead to insufficient or excessive management of battery cells, increase the risk of lithium precipitation in the battery, and thus shorten the service life of the battery. SUMMARY

[0004] Therefore, it is necessary to provide a charging and discharging control method, device, computer equipment, computer readable storage medium and computer program product that can effectively optimize the charging and discharging state of power devices and alleviate the lithium precipitation phenomenon.

[0005] In a first aspect, the present application provides a charging and discharging control method, which comprises:

[0006] obtaining device running information and state of charge information of a power device in a running cycle;

[0007] determining device running duration information of the power device in the running cycle based on the device running information, and determining a lithium precipitation risk evaluation parameter of the power device in the running cycle based on the state of charge information;

[0008] in a case where it is determined that there is an adjustment strategy opening condition matched with the power device based on the device running duration information and the lithium precipitation risk evaluation parameter, determining a candidate charging and discharging adjustment strategy corresponding to the adjustment strategy opening condition as a target charging and discharging adjustment strategy of the power device;

[0009] controlling the charging and discharging of the power device according to the target charging and discharging adjustment strategy;

[0010] The determination of the lithium precipitation risk evaluation parameter of the power device in the running cycle based on the state of charge information comprises:

[0011] According to the state of charge information, a high-end trigger number of the power equipment in the running cycle is determined, in which the state of charge is greater than a preset high-end threshold, and a low-end trigger number of the power equipment in the running cycle is determined, in which the state of charge is less than a preset low-end threshold.

[0012] The low-end trigger number and the high-end trigger number are calculated to obtain a lithium precipitation risk evaluation parameter of the power equipment in the running cycle, and the lithium precipitation risk evaluation parameter is negatively correlated with the lithium precipitation risk of the power equipment.

[0013] In the above embodiments, according to the running frequency of the power equipment in the running cycle reflected by the equipment running information and the lithium precipitation possibility of the battery in the power equipment reflected by the lithium precipitation risk evaluation parameter, it is dynamically determined whether the power equipment needs to be adjusted by the charging and discharging strategy, and when it is determined that the power equipment needs to be adjusted by the strategy, the target charging and discharging adjustment strategy that meets the direct battery health condition of the power equipment is selected, so as to effectively optimize the charging and discharging state of the power equipment, relieve the lithium precipitation phenomenon of the battery, and further improve the service life of the battery in the power equipment. At the same time, by counting the low-end trigger number of the low-end SOC and the high-end trigger number of the high-end SOC, and determining the lithium precipitation risk evaluation parameter of the power equipment according to the ratio of the two, the lithium precipitation risk evaluation parameter can accurately reflect the lithium precipitation risk of the power equipment, so as to provide an accurate matching basis for subsequent condition matching of the charging and discharging adjustment strategy, and further improve the accuracy of the target charging and discharging adjustment strategy.

[0014] In some embodiments, the determination of the equipment running time length information of the power equipment in the running cycle based on the equipment running information includes any one of the following two items:

[0015] The first item is:

[0016] The cumulative running time length of the power equipment in the running cycle is determined based on the equipment running information.

[0017] The ratio of the cumulative running time length to the total time length of the cycle corresponding to the running cycle is determined as the equipment running time length information of the power equipment in the running cycle.

[0018] The second item is:

[0019] The cumulative running time length of the power equipment in the running cycle is determined from the equipment running information.

[0020] The cumulative running time length is determined as the equipment running time length information of the power equipment in the running cycle.

[0021] In the above embodiments, the device running time length information that can be used to reflect the use frequency of the power device in the operation cycle is determined according to the device operation information in different manners, which can provide an accurate matching basis for subsequent condition matching of the target charge-discharge adjustment strategy, and thus improve the accuracy of the target charge-discharge adjustment strategy.

[0022] In some embodiments, the determining, according to the state of charge information, of the lithium precipitation risk evaluation parameter of the power device in the operation cycle comprises:

[0023] determining, according to the state of charge information, charge cut-off information and discharge cut-off information of the power device during charge-discharge;

[0024] determining, based on the charge cut-off information and the discharge cut-off information, a habit use power interval of the power device;

[0025] obtaining cell running temperature information of the power device in the operation cycle, and determining a cell running temperature change trend of the power device in the operation cycle;

[0026] calling a pre-trained lithium precipitation risk prediction model, and performing lithium precipitation risk prediction on the power device based on the habit use power interval and the cell running temperature change trend to obtain the lithium precipitation risk evaluation parameter of the power device in the operation cycle.

[0027] In the above embodiments, the lithium precipitation risk prediction model is pre-trained, and the lithium precipitation risk of the power device is predicted based on the habit use power interval and the cell running temperature change trend, so that the lithium precipitation risk evaluation parameter of the power device is determined from the habit use dimension and the actual cell running temperature, and the accuracy of the lithium precipitation risk evaluation parameter is effectively improved, thereby providing an accurate data basis for subsequent determination of the target charge-discharge adjustment strategy of the power device.

[0028] In some embodiments, the adjustment strategy start condition comprises a first start condition and a second start condition.

[0029] The method further comprises:

[0030] In a case where the device running time length information meets the first start condition of the adjustment strategy start condition, and the lithium precipitation risk evaluation parameter meets the second start condition of the adjustment strategy start condition, it is determined that the power device meets the adjustment strategy start condition.

[0031] In the above embodiments, the power equipment is subjected to double condition judgment using the first starting condition and the second starting condition. Only when the power equipment satisfies the corresponding starting condition from the equipment use frequency dimension and the lithium precipitation risk dimension, it is determined that the power equipment matches the opening condition of the regulation strategy, which can effectively avoid the frequent opening of each charge and discharge regulation strategy with lithium precipitation relief function, effectively relieve the lithium precipitation phenomenon of the battery cell, and reduce the possibility of reducing the operation efficiency of the power equipment.

[0032] In some embodiments, the candidate charge and discharge regulation strategy includes a terminal current reduction strategy; and the method further includes:

[0033] In a case where the equipment operation duration information is less than first operation duration information threshold of the terminal current reduction strategy, it is determined that the equipment operation duration information satisfies a first starting condition of the terminal current reduction strategy;

[0034] In a case where the lithium precipitation risk assessment parameter is greater than or equal to a first assessment parameter threshold of the terminal current reduction strategy, it is determined that the lithium precipitation risk assessment parameter satisfies a second starting condition of the terminal current reduction strategy.

[0035] In the above embodiments, the equipment operation duration information is compared with the first operation duration information threshold of the terminal current reduction strategy, and the lithium precipitation risk assessment parameter is compared with the assessment parameter threshold of the terminal current reduction strategy, so as to determine whether the power equipment satisfies the first starting condition and the second starting condition corresponding to the terminal current reduction strategy, which can effectively improve the judgment efficiency and accuracy of the opening condition judgment of the terminal current reduction strategy.

[0036] In some embodiments, the charge and discharge control of the power equipment according to the target charge and discharge regulation strategy includes:

[0037] In a case where the target charge and discharge regulation strategy includes a terminal current reduction strategy, a cut-off charge state of charge of the power equipment is acquired;

[0038] A target current reduction parameter matched with the cut-off charge state of charge is determined;

[0039] A terminal current reduction strategy starting instruction is generated based on the target current reduction parameter, and the terminal current reduction strategy starting instruction is sent to a battery management system of the power equipment.

[0040] In the above embodiment, the target current reduction parameter of the power equipment is determined by the cut-off charging state of the power equipment, and a terminal current reduction strategy starting instruction is generated according to the target current reduction parameter, which instructs the battery management system of the power equipment to control the power equipment to execute the terminal current reduction strategy during the charging process according to the target current reduction parameter. In this way, the lithium precipitation phenomenon of the battery cell in the power equipment can be effectively alleviated by the terminal current reduction, and the service life of the battery can be prolonged.

[0041] In some embodiments, the candidate charge-discharge adjustment strategy includes a deep discharge strategy; and the method further includes:

[0042] In a case where the equipment running time length information is less than a second running time length information threshold of the deep discharge strategy, it is determined that the equipment running time length information satisfies a first starting condition of the deep discharge strategy;

[0043] In a case where the lithium precipitation risk assessment parameter is greater than or equal to a second assessment parameter threshold of the deep discharge strategy, it is determined that the lithium precipitation risk assessment parameter satisfies a second starting condition of the deep discharge strategy.

[0044] In the above embodiment, the equipment running time length information is compared with the second running time length information threshold of the deep discharge strategy, and the lithium precipitation risk assessment parameter is compared with the second assessment parameter threshold of the deep discharge strategy, so as to determine whether the power equipment satisfies the first starting condition and the second starting condition corresponding to the deep discharge strategy, which can effectively improve the judgment efficiency and accuracy of the starting condition judgment of the deep discharge strategy.

[0045] In some embodiments, the charge-discharge control of the power equipment according to the target charge-discharge adjustment strategy includes:

[0046] In a case where the target charge-discharge adjustment strategy includes the deep discharge strategy, a habit discharge state of charge of the power equipment is determined based on the state of charge information;

[0047] A lowest discharge state of charge matching the equipment type to which the power equipment belongs is determined;

[0048] The lowest discharge state of charge is mapped with the habit discharge state of charge to obtain an internal-external mapping relationship of the state of charge of the power equipment;

[0049] A deep discharge strategy starting instruction is generated according to the internal-external mapping relationship of the state of charge, and the deep discharge strategy starting instruction is sent to the battery management system of the power equipment.

[0050] In the above embodiment, by mapping the minimum discharge state of charge and the conventional discharge state of charge, the state of charge internal-external mapping relationship of the power equipment is obtained, and the deep discharge strategy starting instruction is generated according to the state of charge internal-external mapping relationship, which instructs the battery management system of the power equipment to control the power equipment to execute the deep discharge strategy in the charging process according to the state of charge internal-external mapping relationship. The lithium precipitation phenomenon of the battery cell in the power equipment can be effectively alleviated by the deep discharge mode, and the service life of the battery is prolonged.

[0051] In some embodiments, the candidate charge-discharge adjustment strategy includes an under-fulfillment charging strategy; the under-fulfillment charging strategy includes a plurality of third running time information thresholds and a plurality of third evaluation parameter thresholds corresponding to the third running time information thresholds respectively; the third running time information threshold is negatively correlated with the corresponding third evaluation parameter threshold;

[0052] The method further includes:

[0053] In a case where the equipment running time information is less than any one of the third running time information thresholds of the under-fulfillment charging strategy, it is determined that the equipment running time information satisfies a first starting condition of the under-fulfillment charging strategy;

[0054] Based on the third running time information threshold that the equipment running time information is less than, an evaluation parameter comparison threshold is determined from the third evaluation parameter thresholds;

[0055] In a case where the lithium precipitation risk evaluation parameter is greater than or equal to the evaluation parameter comparison threshold, it is determined that the lithium precipitation risk evaluation parameter satisfies a second starting condition of the under-fulfillment charging strategy.

[0056] In the above embodiment, by comparing the equipment running time information with each third running time information threshold of the under-fulfillment charging strategy, in a case where the equipment running time information is less than any one of the third running time information thresholds, the lithium precipitation risk evaluation parameter is compared with the evaluation parameter comparison threshold corresponding to the third running time information, so as to determine whether the power equipment satisfies the first starting condition and the second starting condition corresponding to the under-fulfillment charging strategy. The judgment efficiency and accuracy of the under-fulfillment charging strategy starting condition judgment can be effectively improved.

[0057] In some embodiments, the charge-discharge control of the power equipment according to the target charge-discharge adjustment strategy includes:

[0058] In a case where the target charge-discharge adjustment strategy includes an under-fulfillment charging strategy, a strategy running state of a terminal current drop strategy of the power equipment is determined;

[0059] In a case where the strategy running state of the terminal flow reduction strategy is in a closed state, determine a non-full charging strategy running parameter matched with the device running time length information and the lithium precipitation risk evaluation parameter;

[0060] Generate a non-full charging strategy starting instruction based on the non-full charging strategy running parameter, and send the non-full charging strategy starting instruction to a battery management system of the power device.

[0061] In the above embodiment, in a case where the strategy running state of the terminal flow reduction strategy is in a closed state, the strategy adjustment platform can directly determine a non-full charging strategy running parameter matched with the device running time length information and the lithium precipitation risk evaluation parameter, and generate a non-full charging strategy starting instruction based on the non-full charging strategy running parameter, instructing the battery management system of the power device to control the power device to execute the non-full charging strategy in a charging process according to the non-full charging strategy running parameter. The lithium precipitation phenomenon in the battery cell of the power device can be effectively alleviated in a non-full charging manner, and the service life of the battery is prolonged.

[0062] In some embodiments, the method further comprises:

[0063] In a case where the strategy running state of the terminal flow reduction strategy is in an open state, real-time device running information and real-time state of charge information of the power device are monitored in real time;

[0064] Based on the real-time device running information and the real-time state of charge information, the device running time length information and the lithium precipitation risk evaluation parameter are updated;

[0065] In a case where it is determined, according to the updated device running time length information and / or the updated lithium precipitation risk evaluation parameter, that the power device does not satisfy the non-full charging strategy adjustment strategy opening condition, it is determined that the target charging and discharging adjustment strategy does not include the non-full charging strategy.

[0066] In the above embodiment, in a case where it is determined that the terminal flow reduction strategy is in an open state, the strategy adjustment platform can monitor real-time device running information and real-time state of charge information of the power device in real time, so as to determine the change of the device running time length information and the lithium precipitation risk evaluation parameter. Whether the non-full charging strategy needs to be opened is determined according to the changed parameter. Through dynamic adjustment, the risk of over-opening of the non-full charging strategy is effectively reduced. The lithium precipitation phenomenon of the battery is reduced while the device use efficiency of the power device is maintained, and the service life of the battery is prolonged.

[0067] In a second aspect, the application further provides a charging and discharging control device, which comprises:

[0068] An information acquisition module is configured to acquire device running information and state of charge information of a power device in a running cycle.

[0069] a time length information and evaluation parameter determination module, configured to determine, based on the equipment operation information, equipment operation time length information of the power equipment in the operation period, and determine, according to the state of charge information, a lithium precipitation risk evaluation parameter of the power equipment in the operation period;

[0070] an adjustment strategy determination module, configured to, in a case where it is determined, based on the equipment operation time length information and the lithium precipitation risk evaluation parameter, that there is an adjustment strategy opening condition matched with the power equipment, determine a candidate charge-discharge adjustment strategy corresponding to the adjustment strategy opening condition as a target charge-discharge adjustment strategy of the power equipment;

[0071] a control module, configured to perform charge-discharge control on the power equipment according to the target charge-discharge adjustment strategy.

[0072] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method described above when executing the computer program.

[0073] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the method described above when executed by a processor.

[0074] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, and the computer program implements the steps of the method described above when executed by a processor.

[0075] The power equipment battery management method, device, computer equipment, storage medium and computer program product can obtain equipment operation information and state of charge information of the power equipment in an operation cycle, determine equipment operation time length information of the power equipment in the operation cycle based on the equipment operation information, and determine a lithium precipitation risk evaluation parameter of the power equipment in the operation cycle according to the state of charge information. In a case where it is determined based on the equipment operation information and the lithium precipitation risk evaluation parameter that there is an adjustment strategy opening condition matched with the power equipment, a candidate charge-discharge adjustment strategy corresponding to the adjustment strategy opening condition is determined as a target charge-discharge adjustment strategy of the power equipment, and the power equipment is controlled to charge and discharge according to the target charge-discharge adjustment strategy. The method can dynamically determine whether the power equipment needs to be adjusted in the charge-discharge strategy according to the operation frequency of the power equipment in the operation cycle reflected by the equipment operation information and the lithium precipitation possibility of the battery in the power equipment reflected by the lithium precipitation risk evaluation parameter, and select the target charge-discharge adjustment strategy that is suitable for the battery health condition of the power equipment when it is determined that the power equipment needs to be adjusted in the strategy, so as to effectively optimize the charge-discharge state of the power equipment, relieve the lithium precipitation of the battery, and further improve the service life of the battery in the power equipment. BRIEF DESCRIPTION OF DRAWINGS

[0076] Figure 1 An application environment diagram of the charge-discharge control method in some embodiments;

[0077] Figure 2 A flowchart of the charge-discharge control method in some embodiments;

[0078] Figure 3 A flowchart of determining a lithium precipitation risk evaluation parameter of the power equipment in an operation cycle according to state of charge information in some embodiments;

[0079] Figure 4 A flowchart of controlling the power equipment to operate according to the target charge-discharge adjustment strategy in some embodiments;

[0080] Figure 5 A flowchart of controlling the power equipment to operate according to the target charge-discharge adjustment strategy in some embodiments;

[0081] Figure 6 A flowchart of the charge-discharge control method in some embodiments;

[0082] Figure 7 A flowchart of controlling the power equipment to operate according to the target charge-discharge adjustment strategy in some embodiments;

[0083] Figure 8 A flowchart of the charge-discharge control method in some embodiments;

[0084] Figure 9 Flowchart of the method for matching the start condition of the adjustment strategy to the end flow reduction strategy and controlling the charging and discharging of the vehicle according to the end flow reduction strategy in some embodiments;

[0085] Figure 10 Flowchart of the method for matching the start condition of the adjustment strategy to the end flow reduction strategy and controlling the charging and discharging of the vehicle according to the end flow reduction strategy in some embodiments;

[0086] Figure 11 Flowchart of the method for matching the start condition of the adjustment strategy to the deep discharge strategy and controlling the charging and discharging of the vehicle according to the deep discharge strategy in some embodiments;

[0087] Figure 12 Flowchart of the method for matching the start condition of the adjustment strategy to the deep discharge strategy and controlling the charging and discharging of the vehicle according to the deep discharge strategy in some embodiments;

[0088] Figure 13 Structural block diagram of the charging and discharging control device in some embodiments;

[0089] Figure 14 Internal structural diagram of the computer device in some embodiments. DETAILED DESCRIPTION

[0090] The embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore only serve as examples, and cannot limit the protection scope of the present application.

[0091] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above description of drawings are intended to cover non-exclusive inclusion.

[0092] Reference herein to "embodiments" means that the particular features, structures, or characteristics described in connection with the embodiments can be included in at least some of the embodiments. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiments, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0093] In the description of the embodiments of the present application, the term "a plurality of" refers to two or more (including two), and similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).

[0094] In the description of the embodiments of the present application, the orientations or positional relationships indicated by the technical terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0095] In the description of the embodiments of the present application, unless otherwise explicitly specified and limited, the technical terms "mounting", "connecting", "connecting", "fixing" and the like should be understood broadly, for example, can be fixedly connected, can be detachably connected, or can be integrated; can be mechanically connected, or can be electrically connected; can be directly connected, or can be indirectly connected through an intermediate medium; can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0096] The power equipment is a device that uses a battery as a power source, converts the chemical energy stored in the battery into electrical energy, and then converts the electrical energy into mechanical energy for operation, such as a new energy vehicle. In the power equipment, the battery can be considered as the core of the equipment, and the running state of the battery will directly affect the running state of the power equipment. Charging and discharging management of the power battery is an effective means to optimize the charging and discharging state of the battery cell in the power equipment, prolong the service life of the battery, and improve the performance of the equipment.

[0097] The current battery management system usually uses a fixed charging and discharging strategy to manage the charging and discharging of the power equipment, such as using preset voltage, current, temperature and other threshold values to achieve unified control, which is easy to cause insufficient or excessive management of the battery cell, increase the risk of lithium precipitation of the battery, and thus shorten the service life of the battery.

[0098] In order to effectively alleviate the lithium precipitation phenomenon of the battery in the power equipment and improve the service life of the power equipment, when the battery management of the power equipment is performed, the equipment operation information and the state of charge information of the power equipment in a running cycle are acquired, the equipment operation duration information of the power equipment in the running cycle is determined based on the equipment operation information, and the lithium precipitation risk evaluation parameter of the power equipment in the running cycle is determined according to the state of charge information. In a case where it is determined based on the equipment operation information and the lithium precipitation risk evaluation parameter that the adjustment strategy opening condition exists and matches the power equipment, a candidate charge-discharge adjustment strategy corresponding to the adjustment strategy opening condition is determined as a target charge-discharge adjustment strategy of the power equipment, and the power equipment is controlled to charge and discharge according to the target charge-discharge adjustment strategy. The above method can dynamically determine whether the power equipment needs to be adjusted in the charge-discharge strategy according to the operation frequency of the power equipment in the running cycle reflected by the equipment operation information and the lithium precipitation possibility of the battery in the power equipment reflected by the lithium precipitation risk evaluation parameter, and select the target charge-discharge adjustment strategy that meets the actual operation condition of the power equipment and the health condition of the battery when it is determined that the power equipment needs to be adjusted in the strategy, so as to effectively optimize the charge-discharge state of the power equipment, alleviate the lithium precipitation phenomenon of the battery, and further improve the service life of the battery in the power equipment.

[0099] The charge-discharge control method provided by the embodiments of the present application can be applied to an application environment as shown in FIG. 1. Figure 1 The strategy adjustment platform 102 communicates with the battery management system 1041 and the information acquisition component 1042 of at least one power equipment 104 through a network. The data storage system can store the data required to be processed by the strategy adjustment platform 102. The data storage system can be integrated on the strategy adjustment platform 102, or placed on a cloud or other network server. The strategy adjustment platform can acquire the equipment operation information of the power equipment 104 in a running cycle through the information acquisition component 1042, acquire the state of charge information of the power equipment 104 in the running cycle from the battery management system 1041, determine the equipment operation duration information of the power equipment 104 in the running cycle based on the equipment operation information, determine the lithium precipitation risk evaluation parameter of the power equipment 104 in the running cycle according to the state of charge information, and in a case where it is determined based on the equipment operation duration information and the lithium precipitation risk evaluation parameter that the adjustment strategy opening condition exists and matches the power equipment 104, determine a candidate charge-discharge adjustment strategy corresponding to the adjustment strategy opening condition as a target charge-discharge adjustment strategy of the power equipment 104, and control the power equipment 104 to charge and discharge according to the target charge-discharge adjustment strategy through the battery management system 1041.

[0100] The policy adjustment platform 102 is a data analysis and processing platform capable of adjusting charging and discharging policies. In some embodiments, the policy adjustment platform 102 can be integrated into the battery management system 1041 to assist the battery management system 1041 in managing the charging and discharging of the batteries of the power equipment 104. In some embodiments, to improve the operational efficiency of the policy adjustment platform, the policy adjustment platform 102 can be set up in the cloud to perform data analysis and processing in the form of a cloud platform.

[0101] Power equipment 104 can be any device powered by batteries, such as new energy vehicles, electric aircraft, and industrial transport vehicles. The Battery Management System (BMS) 1041 is an electronic system used to monitor, protect, control, and optimize the batteries in power equipment 104. It implements functions such as battery status monitoring, battery protection, balancing management, communication and control, and thermal management.

[0102] In some embodiments, as Figure 2 As shown, a charge and discharge control method is provided, which is applied to Figure 1 Taking the policy adjustment platform 102 in FIG. 1 as an example, the following steps are included:

[0103] S202: Acquire equipment operation information and charge state information of the power equipment during an operation cycle.

[0104] The operating cycle is a preset operating cycle for testing the strategy adaptability of the power equipment. During the operating cycle, the battery management system of the power equipment will control the battery operation of the power equipment according to the determined charge and discharge strategy. After the operating cycle ends, the strategy adjustment platform will match the power equipment with a charge and discharge adjustment strategy that is consistent with its actual operating conditions and battery health based on the equipment operation information and charge status information of the power equipment during the operating cycle. It is understandable that the specific duration of the operating cycle can be determined by the designer based on the actual strategy adjustment requirements of the power equipment. For example, the operating cycle can be one day, one week, one month, etc.

[0105] Equipment operation information is used to record the overall operating status of power equipment, which can reflect the frequency of use of power equipment during its operating cycle. For example, equipment operation information can include the cumulative operating time and cumulative rest time of the power equipment during the operating cycle.

[0106] The state of charge information is information data used to record the operation of the battery of the power equipment, and can reflect the change of the state of charge of the battery of the power equipment in the operation cycle. For example, the state of charge information can include the state of charge change curve of the battery of the power equipment in the operation cycle, and can reflect the state of charge value of the battery at each time point in the operation time. In some embodiments, the strategy adjustment platform can obtain the equipment operation information of the power equipment in the operation cycle through the information acquisition component of the power equipment, and obtain the state of charge information of the power equipment in the operation cycle from the battery management system of the power equipment.

[0107] In S204, based on the equipment operation information, the equipment operation duration information of the power equipment in the operation cycle is determined, and based on the state of charge information, the lithium precipitation risk evaluation parameter of the power equipment in the operation cycle is determined.

[0108] The equipment operation duration information is information data used to reflect the equipment operation duration of the power equipment in the operation cycle, and the equipment operation duration is the duration of the power equipment in the operation state. By determining the equipment operation duration of the power equipment in the operation cycle, the overall use of the power equipment in the operation cycle can be determined. It can be understood that the equipment operation duration information can be information data directly reflecting the equipment operation duration, such as the cumulative operation duration of the power equipment, or information data indirectly reflecting the equipment operation duration, such as the cumulative operation duration ratio of the power equipment. The specific form can be set by the designer according to the demand, as long as it can reflect the equipment operation duration of the power equipment in the operation cycle.

[0109] The lithium precipitation risk evaluation parameter is an evaluation index parameter used to represent the lithium precipitation risk degree of the battery in the power equipment, and can reflect the lithium precipitation possibility of the battery in the power equipment. It can be understood that the lithium precipitation risk evaluation parameter can be an index parameter directly reflecting the lithium precipitation possibility of the battery, such as the lithium precipitation risk value or the lithium precipitation risk degree, or an index parameter indirectly reflecting the lithium precipitation possibility of the battery, such as the ratio of the number of times of triggering the low-end state of charge to the number of times of triggering the high-end state of charge.

[0110] In some embodiments, the strategy adjustment platform can perform duration analysis on the equipment operation information to determine the equipment operation duration information of the power equipment in the operation cycle, and perform lithium precipitation risk evaluation on the power equipment according to the state of charge information to determine the lithium precipitation risk evaluation parameter of the power equipment in the operation cycle.

[0111] In S206, in the case that it is determined that there is an adjustment strategy opening condition matched with the power equipment based on the equipment operation duration information and the lithium precipitation risk evaluation parameter, the candidate charge-discharge adjustment strategy corresponding to the adjustment strategy opening condition is determined as the target charge-discharge adjustment strategy of the power equipment.

[0112] The strategy adjustment platform is pre-provided with a plurality of candidate charging and discharging adjustment strategies. The candidate charging and discharging adjustment strategy is a charging and discharging strategy for relieving the lithium precipitation phenomenon of the battery of the power equipment. When the battery is operated in a non-full state, the proportion of the low-end state of charge increases. In the case that the vehicle is stationary for a long time, lithium ions in the electrolyte can rebalance the concentration gradient through diffusion to repair local microscopic heterogeneity, so as to relieve the lithium precipitation phenomenon. Therefore, the designer can pre-design a plurality of charging and discharging adjustment strategies capable of relieving lithium precipitation as candidate charging and discharging adjustment strategies for the battery of the power equipment based on this principle, and set the candidate charging and discharging adjustment strategies in the strategy adjustment platform. According to the principle of relieving lithium precipitation of each candidate charging and discharging, the corresponding adjustment strategy starting condition is set for each candidate charging and discharging adjustment strategy. In the case that the power equipment has a matching adjustment strategy starting condition, the corresponding charging and discharging adjustment strategy can be started to relieve the lithium precipitation phenomenon and improve the service life of the battery of the power equipment.

[0113] It can be understood that the starting of each candidate charging and discharging adjustment strategy is not mutually exclusive, that is, the power equipment can start a plurality of candidate charging and discharging adjustment strategies at the same time. Through the synergistic effect of the candidate charging and discharging adjustment strategies, the effect of relieving the lithium precipitation phenomenon is improved.

[0114] In some embodiments, the strategy adjustment platform can perform condition matching for the power equipment and each candidate charging and discharging adjustment strategy based on the equipment operation time information and the lithium precipitation risk evaluation parameter. In the case that the adjustment strategy starting condition matched with the power equipment exists in the adjustment strategy starting condition of each candidate charging and discharging adjustment strategy, the candidate charging and discharging adjustment strategy corresponding to the adjustment strategy starting condition matched with the power equipment is determined as the target charging and discharging adjustment strategy of the power equipment.

[0115] S208, performing charging and discharging control on the power equipment according to the target charging and discharging adjustment strategy.

[0116] In some embodiments, after the strategy adjustment platform determines the target charging and discharging adjustment strategy for the power equipment, the strategy adjustment platform can perform charging and discharging control on the power equipment according to the target charging and discharging adjustment strategy.

[0117] In some embodiments, the strategy adjustment platform can generate a strategy adjustment instruction based on the target charging and discharging adjustment strategy, and send the strategy adjustment instruction to the battery management system of the power equipment to instruct the battery management system to perform charging and discharging control on the battery of the power equipment according to the target charging and discharging adjustment strategy.

[0118] In the above charge and discharge control method, when the battery of the power equipment is managed, the equipment operation information and the state of charge information of the power equipment in the operation period are obtained, the equipment operation duration information of the power equipment in the operation period is determined based on the equipment operation information, and the lithium precipitation risk evaluation parameter of the power equipment in the operation period is determined according to the state of charge information. In the case where it is determined based on the equipment operation information and the lithium precipitation risk evaluation parameter that there is an adjustment strategy opening condition matched with the power equipment, the candidate charge and discharge adjustment strategy corresponding to the adjustment strategy opening condition is determined as the target charge and discharge adjustment strategy of the power equipment, and the power equipment is controlled according to the target charge and discharge adjustment strategy. The above method can dynamically determine whether the power equipment needs to be adjusted in the charge and discharge strategy according to the operation frequency of the power equipment in the operation period reflected by the equipment operation information and the lithium precipitation possibility of the battery in the power equipment reflected by the lithium precipitation risk evaluation parameter, and select the target charge and discharge adjustment strategy that is consistent with the health condition of the battery in the power equipment when it is determined that the power equipment needs to be adjusted in the strategy, so as to effectively optimize the charge and discharge state of the power equipment, relieve the lithium precipitation phenomenon of the battery, and further improve the service life of the battery in the power equipment.

[0119] After the strategy adjustment platform obtains the equipment operation information of the power equipment in the operation period, the equipment operation duration information of the power equipment in the operation period can be determined in the following two ways.

[0120] In some embodiments, the determination of the equipment operation duration information of the power equipment in the operation period based on the equipment operation information in S204 comprises:

[0121] The cumulative operation duration of the power equipment in the operation period is determined based on the equipment operation information. The ratio of the cumulative operation duration to the total duration of the period corresponding to the operation period is determined as the equipment operation duration information of the power equipment in the operation period.

[0122] The accumulated running time length is time length information obtained by length statistics on the running time lengths of each segment of the power equipment in the running period, and reflects the total running time length of the power equipment in the running period. The total time length corresponding to the running period is the total time length required to complete a complete running period. The ratio of the accumulated running time length to the total time length corresponding to the running period can accurately reflect the use frequency of the power equipment in the running period. Taking a week as an example, the total time length can be 168 hours. If the accumulated running time length of power equipment A in this week is 42 hours, and the accumulated running time length of power equipment B in this week is 55 hours, it can be determined that the ratio of the accumulated running time length of power equipment A to the total time length corresponding to the running period is 0.25. The ratio of the accumulated running time length of power equipment B to the total time length corresponding to the running period is 0.33, that is, the use frequency of power equipment B is significantly higher than that of power equipment A in this week.

[0123] In some embodiments, the total time length corresponding to the running period can be considered as the time length sum of the accumulated running time length and the accumulated rest time length of the power equipment. Therefore, the ratio of the accumulated running time length to the total time length corresponding to the running period can also be considered as the ratio of the accumulated running time length to the time length sum of the accumulated running time length and the accumulated rest time length, and the expression can be: accumulated running time length / (accumulated running time length+accumulated rest time length).

[0124] In some embodiments, the strategy adjustment platform can determine the segment time lengths of the power equipment in the running state in the running period by information extraction on the equipment running information, and then perform length statistics on the segment time lengths to obtain the accumulated running time length of the power equipment in the running period. Then, the ratio of the accumulated running time length to the total time length of the running period is calculated, and the ratio is determined as the equipment running time length information of the power equipment in the running period, so that the equipment running time length information can accurately reflect the use frequency of the power equipment in the running period.

[0125] In other embodiments, the determination of the equipment running time length information of the power equipment in the running period based on the equipment running information in S204 comprises:

[0126] The accumulated running time length of the power equipment in the running period is determined from the equipment running information. The accumulated running time length is determined as the equipment running time length information of the power equipment in the running period.

[0127] In some embodiments, the policy adjustment platform can directly extract information from the equipment operation information, determine the segment duration when the power equipment is in the running state in the operation cycle, and then perform duration statistics on each segment duration to obtain the cumulative operation duration of the power equipment in the operation cycle. The cumulative operation duration is determined as the equipment operation duration information of the power equipment in the operation cycle. Similarly, taking one week as an example, the total duration of the cycle can be 168 hours. If the cumulative operation duration of power equipment A in this week is 42 hours and the cumulative operation duration of power equipment B in this week is 55 hours, it can be determined that the use frequency of power equipment B is significantly higher than that of power equipment A.

[0128] In the above embodiments, the equipment operation duration information that can be used to reflect the use frequency of the power equipment in the operation cycle is determined according to the equipment operation information in different ways, which can provide an accurate matching basis for subsequent condition matching of the charge and discharge adjustment strategy, thereby improving the accuracy of the target charge and discharge adjustment strategy.

[0129] In addition to being able to determine the equipment operation duration information of the power equipment in the operation cycle in multiple ways, similarly, the policy adjustment platform can also determine the lithium precipitation risk evaluation parameter of the power equipment in the operation cycle in multiple ways.

[0130] In some embodiments, the determination of the lithium precipitation risk evaluation parameter of the power equipment in the operation cycle according to the state of charge information in S204 includes:

[0131] According to the state of charge information, the number of high-end trigger times when the state of charge is greater than the preset high-end threshold and the number of low-end trigger times when the state of charge is less than the preset low-end threshold in the operation cycle of the power equipment are determined. The low-end trigger times and the high-end trigger times are proportionally calculated to obtain the lithium precipitation risk evaluation parameter of the power equipment in the operation cycle. The lithium precipitation risk evaluation parameter is negatively correlated with the lithium precipitation risk of the power equipment.

[0132] The state of charge (SOC) is a core parameter for measuring the current remaining available capacity of the battery of the power equipment, usually in percentage form.

[0133] The preset high-end threshold is a preset judgment parameter for judging whether the state of charge is in a high-end state of charge. In a case where the state of charge is greater than the preset high-end threshold, it can be considered that the battery of the power equipment is in a high-end state of charge. In a case where the battery is in a high-end state of charge, for example, a lithium ion battery, the graphite negative electrode potential of the lithium ion battery is close to the deposition potential of lithium metal, which is easy to cause lithium precipitation. It can be understood that the high-end state of charge usually refers to that the battery is close to or in a full charge state. According to different battery chemical systems, the preset high-end threshold for judging whether the state of charge is in a high-end state of charge can also be different, and the specific value thereof can be determined by the designer according to the actual situation. The preset low-end threshold is a preset judgment parameter for judging whether the state of charge is in a low-end state of charge. In a case where the state of charge is less than the preset low-end threshold, it can be considered that the battery of the power equipment is in a low-end state of charge. It can be understood that the low-end state of charge usually refers to that the battery is close to or in an empty state, in which the remaining battery capacity is small. In a case where the battery is in a low-end state of charge, for example, a lithium ion battery, the graphite negative electrode potential of the lithium ion battery is high, far away from the critical potential of lithium deposition, and the risk of lithium precipitation is significantly reduced. At the same time, the concentration of lithium ions embedded in the negative electrode is low in the low-end state of charge, and the ion diffusion in the electrolyte is more easily balanced when standing. That is, the longer the standing time in the low-end state of charge, the higher the degree of lithium precipitation alleviation, which can effectively prolong the battery life. According to different battery chemical systems, the preset low-end threshold for judging whether the state of charge is in a low-end state of charge can also be different, and the specific value thereof can be determined by the designer according to the actual situation.

[0134] In some embodiments, the strategy adjustment platform can determine, according to the state of charge information, a high-end trigger number of times that the state of charge is greater than the preset high-end threshold and a low-end trigger number of times that the state of charge is less than the preset low-end threshold in a running cycle of the power equipment, and perform proportional calculation on the low-end trigger number of times and the high-end trigger number of times to obtain a lithium precipitation risk evaluation parameter of the power equipment in the running cycle.

[0135] In some of the embodiments, the expression of the lithium precipitation risk evaluation parameter is as follows:

[0136]

[0137] In some of the embodiments, the expression of the lithium precipitation risk evaluation parameter is as follows:

[0138]

[0139] As can be known from the lithium precipitation relief principle described above, the battery is in a low-end SOC state, which can better relieve the lithium precipitation phenomenon of the battery. Therefore, in the case that the number of low-end SOC triggering times is greater than the number of high-end SOC triggering times, it can be considered that the power equipment is in a low-end SOC state more frequently during the entire operation period, and the risk of lithium precipitation of the battery is smaller. That is, the lithium precipitation risk evaluation parameter is negatively correlated with the lithium precipitation risk of the power equipment. The greater the lithium precipitation risk evaluation parameter, the smaller the lithium precipitation risk of the power equipment. The smaller the lithium precipitation risk evaluation parameter, the greater the lithium precipitation risk of the power equipment.

[0140] In some embodiments, the strategy adjustment platform can obtain the state of charge of the battery of the power equipment at each time point in the operation period from the state of charge information, and compare each state of charge with the preset high-end threshold and the preset low-end threshold, respectively, to count the number of high-end triggering times when the state of charge is greater than the preset high-end threshold, and the number of low-end triggering times when the state of charge is less than the preset low-end threshold.

[0141] In some embodiments, in order to improve the efficiency of determining the lithium precipitation risk evaluation parameter, the battery management system of the power equipment can count the number of high-end triggering times and the number of low-end triggering times of the battery in the operation period by itself. For example, when the battery management system enters the plug-in charging state, and the maximum SOC of the battery is greater than the preset high-end threshold, such as 95%, the high-end SOC count is increased by 1. When the minimum SOC of the battery is less than the preset low-end threshold, such as 20%, the low-end SOC count is increased by 1. The high-end SOC count and the low-end SOC count are recorded in the state of charge information of the power equipment. The strategy adjustment platform can directly read the high-end SOC count from the state of charge information as the number of high-end triggering times, and read the low-end SOC count as the number of low-end triggering times.

[0142] In some embodiments, in order to avoid the adjustment strategy opening condition corresponding to each charge and discharge adjustment strategy for relieving lithium precipitation from being frequently triggered, the initial count of the high-end SOC count can be set to be less than the initial count of the low-end SOC count. For example, the initial count of the high-end SOC count can be set to 1, and the initial count of the low-end SOC count can be set to 3. In this way, the ratio of the low-end SOC count to the high-end SOC count at the beginning is 1:3, and it can be considered that the lithium precipitation risk of the power equipment is small in the initial state, so as to reduce the triggering frequency of the charge and discharge adjustment strategy.

[0143] In some embodiments, since high-end charging considers plug-in charging, the SOC increases relatively steadily, while the low-end SOC is mainly triggered during the discharge process. Taking into account the presence of recharging during driving, such as brake recharging and range extender recharging, the battery management system can continuously monitor for a preset time when it detects that the minimum SOC of the battery is less than the preset low-end threshold. If the minimum SOC of the battery is still less than the preset low-end threshold after the preset time, 1 is added to the low-end SOC count, otherwise the low-end SOC count is not modified. By setting a preset time for the low-end SOC trigger count determination, a stability judgment can be added to the low-end SOC trigger count determination. The preset time is the time required for the low-end SOC to be in a stable state, which effectively improves the accuracy of the low-end trigger count.

[0144] In the above embodiment, by counting the number of low-end triggers of the low-end SOC and the number of high-end triggers of the high-end SOC, and determining the lithium plating risk assessment parameters of the power equipment according to the ratio of the two, the lithium plating risk assessment parameters can accurately reflect the lithium plating risk of the power equipment, and provide an accurate matching basis for the subsequent condition matching of the charge and discharge adjustment strategy, thereby improving the accuracy of the target charge and discharge adjustment strategy.

[0145] In other embodiments, Figure 3 As shown, in S204, determining the lithium plating risk assessment parameters of the power equipment during the operation cycle according to the state of charge information includes:

[0146] S302 : Determine charging cutoff information and discharging cutoff information for the power equipment when charging and discharging according to the state of charge information.

[0147] Among them, the charging cut-off information may include the charge status information corresponding to the charging cut-off time of each battery when the power equipment is charged during the operation cycle. For example, if the user stops charging when the power equipment is charged to 80%, the charging cut-off information includes the SOC=80% corresponding to the charging cut-off time.

[0148] The discharge cut-off information may include the state of charge information of each battery at the end of discharge when the power device ends discharging within the operating cycle. It can also be considered as the state of charge information of the power device before charging. For example, if the user charges the power device battery when the state of charge is 40%, the discharge cut-off information includes the SOC=40% corresponding to the discharge cut-off moment.

[0149] In some embodiments, the strategy adjustment platform determines the charge state information corresponding to the charging cut-off time of each battery when the power device finishes charging as the charging cut-off information of the power device based on the charge state information, and determines the charge state information corresponding to the discharging cut-off time of each battery before the power device is charged as the discharge cut-off information of the power device.

[0150] S304, determine the habit using power interval of the power equipment based on the charging cutoff information and the discharging cutoff information.

[0151] The habit using power interval is interval information for representing the power use habit of the power equipment when using the battery, and can be composed of an upper limit state of charge and a lower limit state of charge. The state of charge of the battery of the power equipment will change within the habit using power interval during use in a running cycle. For example, when the habit using power interval is 40% to 80%, it can be considered that the battery of the power equipment will generally start charging when the SOC is 40%, and will stop charging when the SOC is 80%.

[0152] In some embodiments, the strategy adjustment platform can determine the habit using power interval of the power equipment based on the charging cutoff information and the discharging cutoff information.

[0153] In some embodiments, the strategy adjustment platform can determine an average charging cutoff state of charge of the power equipment at the charging cutoff time according to the state of charge information corresponding to each charging cutoff time in the charging cutoff information, determine an average discharging cutoff state of charge of the power equipment at the discharging cutoff time according to the state of charge information corresponding to each discharging cutoff time in the discharging cutoff information, and finally determine the habit using power interval of the power equipment based on the average charging cutoff state of charge and the average discharging cutoff state of charge. For example, the average charging cutoff state of charge is the upper limit value of the habit using power interval, and the average discharging cutoff state of charge is the lower limit value of the habit using power interval.

[0154] In some embodiments, the strategy adjustment platform can determine a highest charging cutoff state of charge of the power equipment at the charging cutoff time according to the state of charge information corresponding to each charging cutoff time in the charging cutoff information, determine a lowest discharging cutoff state of charge of the power equipment at the discharging cutoff time according to the state of charge information corresponding to each discharging cutoff time in the discharging cutoff information, and determine the habit using power interval of the power equipment based on the highest charging cutoff state of charge and the lowest discharging cutoff state of charge. For example, the highest charging cutoff state of charge is the upper limit value of the habit using power interval, and the lowest discharging cutoff state of charge is the lower limit value of the habit using power interval. By determining the habit using power interval through the lowest discharging cutoff state of charge and the highest charging cutoff state of charge, the habit using power interval can contain all use habits of the power equipment, thereby improving the prediction accuracy of the subsequent lithium precipitation risk assessment parameters.

[0155] S306, obtain cell operating temperature information of the power equipment in a running cycle, and determine a cell operating temperature change trend of the power equipment in the running cycle.

[0156] The cell operation temperature information is information data for representing temperature change of the battery cell of the power equipment during operation, for example, the cell operation temperature information can include cell temperature of the battery cell at each time when the power equipment is in use.

[0157] In some embodiments, the cell operation temperature is also one of the factors affecting the lithium precipitation of the cell, for example, the lithium precipitation risk is directly caused due to kinetic limitation in low temperature, and the lithium precipitation of the cell is indirectly promoted through thermodynamic instability and side reaction in high temperature. Therefore, in order to more accurately predict the lithium precipitation risk of the power equipment, the strategy adjustment platform can obtain the cell operation temperature information of the power equipment in the operation period through the battery management system, perform trend analysis on the cell operation temperature information, and determine the cell operation temperature change trend of the power equipment in the operation period. The cell operation temperature change trend can directly reflect the temperature change of the battery cell in use, and can also indirectly reflect the environmental temperature change of the use environment of the power equipment.

[0158] In S308, a lithium precipitation risk prediction model is called, and the lithium precipitation risk of the power equipment is predicted based on the habit use power interval and the cell operation temperature change trend to obtain the lithium precipitation risk evaluation parameter of the power equipment in the operation period.

[0159] The lithium precipitation risk prediction model is a preconfigured model for predicting the lithium precipitation risk of the battery of the power equipment to obtain the lithium precipitation risk evaluation parameter. The lithium precipitation risk prediction model is trained by the designer in advance according to the historical habit use power interval, the historical cell operation temperature change trend, and the historical lithium precipitation situation of the power equipment, and is configured in the strategy adjustment platform, which can accurately predict the lithium precipitation risk of the power equipment.

[0160] In some embodiments, after obtaining the habit use power interval and the cell operation temperature change trend of the power equipment, the strategy adjustment platform can call the lithium precipitation risk prediction model trained in advance, input the habit use power interval and the cell operation temperature change trend into the lithium precipitation risk prediction model, and use the lithium precipitation risk prediction model to predict the lithium precipitation risk of the battery of the power equipment to obtain the lithium precipitation risk evaluation parameter of the power equipment in the operation period.

[0161] In some embodiments, the lithium precipitation risk evaluation parameter can be a lithium precipitation risk degree, such as high risk, medium risk, low risk, etc.

[0162] In some embodiments, the lithium precipitation risk evaluation parameter can be a direct numerical value, that is, a lithium precipitation risk value of the power equipment.

[0163] In the above embodiments, by using the pre-trained lithium precipitation risk prediction model, the lithium precipitation risk of the power equipment is predicted based on the habit power interval and the temperature change trend of the battery cell operation, the lithium precipitation risk evaluation parameter of the power equipment can be determined from the habit dimension and the actual operation temperature of the battery cell, which effectively improves the accuracy of the lithium precipitation risk evaluation parameter, and provides an accurate data basis for subsequent determination of the target charge-discharge adjustment strategy of the power equipment.

[0164] Since the strategy adjustment platform determines whether there is a matched adjustment strategy opening condition for the power equipment according to the equipment running time information and the lithium precipitation risk evaluation parameter, in some embodiments, the adjustment strategy opening condition can include a first starting condition and a second starting condition. The charge-discharge control method further comprises: determining that the power equipment meets the matched strategy opening condition when the equipment running time information meets the first starting condition of the adjustment strategy opening condition, and the lithium precipitation risk evaluation parameter meets the second starting condition of the adjustment strategy opening condition.

[0165] The first starting condition is a preset judgment condition for determining the adjustment strategy opening condition of the power equipment according to the equipment running time information. When the equipment running time information meets the first starting condition, it means that the power equipment meets the adjustment strategy opening condition from the dimension of equipment usage frequency.

[0166] The second starting condition is a preset judgment condition for determining the adjustment strategy opening condition of the power equipment according to the lithium precipitation risk evaluation parameter. When the lithium precipitation risk evaluation parameter meets the second starting condition, it means that the power equipment meets the adjustment strategy opening condition from the lithium precipitation risk dimension.

[0167] In some embodiments, the adjustment strategy opening condition includes the first starting condition and the second starting condition. For each adjustment strategy opening condition, the strategy adjustment platform can match the equipment running time information with the first starting condition, and match the lithium precipitation risk evaluation parameter with the second starting condition. Only when the equipment running time information meets the first starting condition and the lithium precipitation risk evaluation parameter meets the second starting condition, it can be determined that the power equipment matches the adjustment strategy opening condition.

[0168] In the above embodiments, the first starting condition and the second starting condition are used to make a double-condition judgment on the power equipment. Only when the power equipment meets the corresponding starting condition from the equipment usage frequency dimension and the lithium precipitation risk dimension, it can be determined that the power equipment matches the adjustment strategy opening condition, which can effectively avoid that each charge-discharge adjustment strategy with lithium precipitation relief function is frequently started, and can effectively relieve the lithium precipitation phenomenon of the battery cell, and also can reduce the possibility of reducing the running efficiency of the power equipment.

[0169] The plurality of candidate charging and discharging adjustment strategies, the matching judgment manner of the adjustment strategy opening condition corresponding to each candidate charging and discharging adjustment strategy, and the actual operation control manner are different. The condition matching judgment manner and the operation control manner of different candidate charging and discharging condition strategies will be described below through several embodiments.

[0170] In some embodiments, the candidate charging and discharging adjustment strategy includes a terminal current reduction strategy, and the charging and discharging control method further includes the following steps: in the case that the device operation time information is less than a first operation time information threshold of the terminal current reduction strategy, determining that the device operation time information satisfies a first starting condition of the terminal current reduction strategy. In the case that the lithium precipitation risk assessment parameter is greater than or equal to a first assessment parameter threshold of the terminal current reduction strategy, determining that the lithium precipitation risk assessment parameter satisfies a second starting condition of the terminal current reduction strategy.

[0171] The terminal current reduction strategy refers to a charging and discharging adjustment strategy that actively reduces the charging current in the last stage of the battery charging process to avoid battery overcharging and reduce the lithium precipitation phenomenon caused by side reactions, thereby prolonging the battery life. Using the terminal current reduction strategy to control the charging process of the power device can determine a terminal current reduction parameter lower than the charging cutoff parameter of the battery of the power device according to the charging cutoff parameter in the charging process, and control the power device to charge according to the terminal current reduction parameter. For example, according to the charging cutoff voltage, a terminal current reduction voltage lower than the charging cutoff voltage is determined, and when the battery of the power device is charged to the terminal current reduction voltage, the voltage is kept constant, the current is reduced, and the charging is stopped when the current falls below a threshold.

[0172] The first operation time information threshold is a preset judgment threshold for determining whether the device operation time information satisfies the first starting condition of starting the terminal current reduction strategy, which can be determined by the designer according to the actual situation, such as experience data or experimental data. In the case that the device operation time information is less than the first operation time information threshold of the terminal current reduction strategy, it can be determined that the power device satisfies the adjustment strategy starting condition of the terminal current reduction strategy from the device usage frequency dimension.

[0173] The first assessment parameter threshold is a preset judgment threshold for determining whether the lithium precipitation risk assessment parameter satisfies the second starting condition of starting the terminal current reduction strategy, which can be determined by the designer according to the actual situation, such as experience data or experimental data. In the case that the lithium precipitation risk assessment parameter is less than the first assessment parameter threshold of the terminal current reduction strategy, it can be determined that the power device satisfies the adjustment strategy starting condition of the terminal current reduction strategy from the lithium precipitation risk dimension.

[0174] In some embodiments, the policy adjustment platform can compare the device running time information with a first running time information threshold of the end flow reduction policy, and determine that the device running time information meets a first starting condition of the end flow reduction policy if the device running time information is less than the first running time information threshold of the end flow reduction policy. The lithium precipitation risk assessment parameter is compared with a first assessment parameter threshold of the end flow reduction policy, and it is determined that the lithium precipitation risk assessment parameter meets a second starting condition of the end flow reduction policy if the lithium precipitation risk assessment parameter is greater than or equal to the first assessment parameter threshold of the end flow reduction policy.

[0175] For example, taking the device running time information as the ratio of the cumulative running time to the total cycle time, and the lithium precipitation risk assessment parameter as the ratio of the low-end trigger times to the high-end trigger times, the adjustment strategy starting condition of the end flow reduction policy can be:

[0176]

[0177]

[0178] In the above embodiments, by comparing the device running time information with the first running time information threshold of the end flow reduction policy and comparing the lithium precipitation risk assessment parameter with the assessment parameter threshold of the end flow reduction policy, it can be determined whether the power device meets the first starting condition and the second starting condition corresponding to the end flow reduction policy, which can effectively improve the judgment efficiency and accuracy of the end flow reduction policy starting condition judgment.

[0179] In some embodiments, as shown in S208, the power device is controlled to operate according to the target charge-discharge adjustment strategy, including: Figure 4

[0180] S402, in the case that the target charge-discharge adjustment strategy includes an end flow reduction policy, obtaining the cut-off charging state of charge of the power device.

[0181] The cut-off charging state of charge of the power device refers to the state of charge corresponding to the battery when the power device is cut off charging. It can be understood that the cut-off charging state of charge of the power device can be a normal 100% SOC, i.e., the charging is stopped when the state of charge of the battery reaches 100% during charging. In the case that the power device needs to operate other charge-discharge adjustment strategies that have requirements for the cut-off charging state of charge, the cut-off charging state of charge can also be the state of charge required by the charge-discharge adjustment strategy, for example, in the case that the power device needs to operate an under-charge strategy, the cut-off charging state of charge required by the under-charge strategy, such as 95% SOC, can be determined as the cut-off charging state of charge of the power device.

[0182] ​In some embodiments, the strategy adjustment platform can acquire the cut-off charge state of the power equipment through the power management system of the power equipment when determining that the target charge-discharge adjustment strategy comprises the end-drop strategy.

[0183] S404, determining a target drop parameter matching the cut-off charge state.

[0184] The target drop parameter is a control parameter required when performing end-drop control on the power equipment, such as an end-drop state of charge or an end-drop voltage.

[0185] In some embodiments, the strategy adjustment platform can determine a target drop parameter matching the cut-off charge state.

[0186] In some embodiments, the strategy adjustment platform can determine a target drop parameter of the power equipment according to a preset end-drop interval and the cut-off charge state. For example, when the preset end-drop interval is 20% and the cut-off charge state is 100%, the target drop parameter, i.e., the end-drop state of charge, is 80%, that is, when the battery charge reaches 80% SOC, the battery can be controlled to implement drop.

[0187] In some embodiments, the strategy adjustment platform has a mapping relationship between each cut-off charge state and each drop parameter, and the strategy adjustment platform can find a target drop parameter matching the cut-off charge state of the power equipment from the mapping relationship.

[0188] S406, generating an end-drop strategy start instruction based on the target drop parameter and sending the end-drop strategy start instruction to the battery management system of the power equipment.

[0189] The end-drop strategy start instruction is an instruction signal for instructing the battery management system to control the charge and discharge of the power equipment according to the end-drop strategy.

[0190] In some embodiments, the strategy adjustment platform can generate an end-drop strategy start instruction based on the target drop parameter, send the end-drop strategy start instruction to the battery management system of the power equipment, and instruct the battery management system to control the charge and discharge of the power equipment according to the end-drop strategy to alleviate the lithium precipitation phenomenon of the battery cell in the power equipment.

[0191] In the above embodiments, the target drop parameter of the power equipment is determined through the cut-off charge state of the power equipment, and an end-drop strategy start instruction is generated according to the target drop parameter to instruct the battery management system of the power equipment to control the power equipment to perform the end-drop strategy during the charging process. The lithium precipitation phenomenon of the battery cell in the power equipment can be effectively alleviated through the end-drop manner, and the service life of the battery can be prolonged.

[0192] In some embodiments, the candidate charge-discharge adjustment strategy includes a deep discharge strategy, and the method further includes the following steps: determining that the device running time information meets a first starting condition of the deep discharge strategy in a case where the device running time information is less than a second running time information threshold of the deep discharge strategy; and determining that the lithium precipitation risk assessment parameter meets a second starting condition of the deep discharge strategy in a case where the lithium precipitation risk assessment parameter is greater than or equal to a second assessment parameter threshold of the deep discharge strategy.

[0193] The deep discharge strategy refers to a charge-discharge adjustment strategy for improving the number of low-end state of charge triggers, adjusting the distribution state of lithium ions inside the battery, reducing the case of local supersaturation, thereby relieving the phenomenon of lithium precipitation, and prolonging the service life of the battery by discharging the battery to the lowest state of charge. In the case where the habit discharge state of charge of the power device is high and the number of low-end state of charge triggers is low, the deep discharge strategy can be used to discharge the battery below the habit discharge state of charge, achieving an effect below the preset low-end threshold.

[0194] The second running time information threshold is a preset judgment threshold for determining whether the device running time information meets the first starting condition of the deep discharge strategy, which can be determined by the designer according to actual conditions, such as empirical data or experimental data. In the case where the device running time information is less than the second running time information threshold of the deep discharge strategy, it can be determined that the power device meets the adjustment strategy starting condition of the deep discharge strategy from the device usage frequency dimension.

[0195] The second assessment parameter threshold is a preset judgment threshold for determining whether the lithium precipitation risk assessment parameter meets the second starting condition of the deep discharge strategy, which can be determined by the designer according to actual conditions, such as empirical data or experimental data. In the case where the lithium precipitation risk assessment parameter is less than the second assessment parameter threshold of the deep discharge strategy, it can be determined that the power device meets the adjustment strategy starting condition of the deep discharge strategy from the lithium precipitation risk dimension.

[0196] In some embodiments, the strategy adjustment platform can compare the device running time information with the second running time information threshold of the deep discharge strategy, and determine that the device running time information meets the first starting condition of the deep discharge strategy in a case where the device running time information is less than the second running time information threshold of the deep discharge strategy. The lithium precipitation risk assessment parameter is compared with the second assessment parameter threshold of the deep discharge strategy, and it is determined that the lithium precipitation risk assessment parameter meets the second starting condition of the deep discharge strategy in a case where the lithium precipitation risk assessment parameter is greater than or equal to the second assessment parameter threshold of the deep discharge strategy.

[0197] Similarly, taking the device runtime information as the ratio of the cumulative runtime to the total cycle duration, and taking the lithium precipitation risk assessment parameter as the ratio of the low-end trigger times to the high-end trigger times as an example, the adjustment strategy opening condition of the deep discharge strategy can be:

[0198]

[0199]

[0200] In the above embodiments, by comparing the device runtime information with the second runtime information threshold of the deep discharge strategy and comparing the lithium precipitation risk assessment parameter with the second assessment parameter threshold of the deep discharge strategy, it can be determined whether the power device meets the first and second starting conditions corresponding to the deep discharge strategy, which can effectively improve the judgment efficiency and accuracy of the deep discharge strategy opening condition judgment.

[0201] In some embodiments, as shown in S208, the target charge and discharge adjustment strategy is used to control the operation of the power device, including: Figure 5

[0202] S502, in the case where the target charge and discharge adjustment strategy includes a deep discharge strategy, determining the habitual discharge state of charge of the power device based on the state of charge information.

[0203] The habitual discharge state of charge refers to the minimum discharge state of charge that the power device is used to maintain, i.e., the minimum discharge state of charge corresponding to the use habit of the power device.

[0204] In some embodiments, the strategy adjustment platform can determine the habitual discharge state of charge of the power device based on the state of charge information in the case where the target charge and discharge adjustment strategy includes a deep discharge strategy.

[0205] S504, determining the minimum discharge state of charge matching the device type to which the power device belongs.

[0206] The device type is a type parameter for classifying each power device according to the battery chemical system and / or use environment of each power device. For example, the device type can include mining truck devices, public transportation devices, etc.

[0207] ​The minimum discharge state of charge refers to the minimum state of charge required to maintain normal operation of the power equipment. It can be understood that the minimum discharge state of charge corresponding to different types of power equipment is different. For example, in the case of public transportation equipment, the corresponding minimum discharge state of charge can be 20%, that is, 20% SOC can maintain the normal operation of the public transportation equipment. In the case of a mine truck, due to the use environment, the minimum discharge state of charge required to maintain normal operation will rise to 40% SOC.

[0208] In some embodiments, the policy adjustment platform can determine the minimum discharge state of charge corresponding to the type of power equipment according to the type of power equipment.

[0209] S506, mapping the minimum discharge state of charge and the habit discharge state of charge to obtain the internal and external mapping relationship of the state of charge of the power equipment.

[0210] The internal and external mapping relationship of the state of charge is a mapping relationship used to reflect the correspondence between the actual state of charge inside the battery and the displayed state of charge outside the power equipment. By mapping the minimum discharge state of charge and the habit discharge state of charge, when the actual state of charge of the battery has reached the minimum discharge state of charge, the displayed state of charge outside the power equipment will be displayed as the habit discharge state of charge. Because there is a mapping relationship between the actual state of charge inside the battery and the displayed state of charge outside the power equipment, rather than a direct correspondence, when the displayed state of charge outside the power equipment is the habit discharge state of charge, the device user of the power equipment will charge it. However, at this time, the actual state of charge inside the battery has dropped to the minimum discharge state of charge, thereby achieving the deep discharge effect of the power equipment.

[0211] In some embodiments, the policy adjustment platform can map the minimum discharge state of charge and the habit discharge state of charge, and use the mapping relationship between the two as a reference to achieve complete mapping between the actual state of charge inside the battery and the displayed state of charge outside the power equipment, and obtain the internal and external mapping relationship of the state of charge of the power equipment.

[0212] S508, generating a deep discharge strategy opening instruction according to the internal and external mapping relationship of the state of charge, and sending the deep discharge strategy opening instruction to the device control system of the power equipment.

[0213] The deep discharge strategy opening instruction is an instruction signal used to instruct the battery management system to control the charging and discharging of the power equipment according to the deep discharge strategy.

[0214] In some embodiments, the policy adjustment platform can generate a deep discharge strategy start instruction according to the state of charge internal-external mapping relationship, send the deep discharge strategy start instruction to the battery management system of the power equipment, and instruct the battery management system to control the power equipment according to the deep discharge strategy to relieve the lithium precipitation phenomenon of the battery cell in the power equipment.

[0215] In the above embodiments, by mapping the minimum discharge state of charge and the habit discharge state of charge to obtain the state of charge internal-external mapping relationship of the power equipment, and generating a deep discharge strategy start instruction according to the state of charge internal-external mapping relationship, and instructing the battery management system of the power equipment to control the power equipment to execute the deep discharge strategy during the charging process according to the state of charge internal-external mapping relationship, the lithium precipitation phenomenon of the battery cell in the power equipment can be effectively relieved by deep discharge, and the service life of the battery can be prolonged.

[0216] In other embodiments, the candidate charge-discharge adjustment strategy includes an under-charge strategy. The under-charge strategy includes a plurality of third running time information thresholds and a plurality of third evaluation parameter thresholds corresponding to the third running time information thresholds, respectively; the third running time information threshold is negatively correlated with the corresponding third evaluation parameter threshold. As shown in Figure 6 The charge-discharge control method further includes the following steps:

[0217] S602, in the case that the equipment running time information is less than any one of the third running time information thresholds of the under-charge strategy, it is determined that the equipment running time information satisfies the first starting condition of the under-charge strategy.

[0218] The under-charge strategy refers to a charge-discharge strategy that deliberately limits the upper limit of charging to make the battery unable to reach a fully charged state during the charging process of the battery. When the battery is close to full charge, the graphite negative electrode potential approaches the critical value of lithium metal deposition, which is easy to cause lithium precipitation. By limiting the upper limit of charging, the negative electrode potential can be kept in a safe range, thereby achieving the effect of relieving lithium precipitation and prolonging the service life of the battery.

[0219] The third running time information threshold is a preset judgment threshold for judging whether the equipment running time information satisfies the first starting condition of the under-charge strategy, which can be determined by the designer according to the actual situation, such as experience data or experimental data. In the case that the equipment running time information is less than the third running time information threshold of the under-charge strategy, it can be determined that the power equipment satisfies the adjustment strategy starting condition of the under-charge strategy from the equipment usage frequency dimension.

[0220] The third evaluation parameter threshold is a preset judgment threshold for judging whether the lithium precipitation risk evaluation parameter meets the second starting condition of the under-discharge strategy. The third evaluation parameter threshold can be determined by the designer according to actual conditions, such as empirical data or experimental data. In the case that the lithium precipitation risk evaluation parameter is less than the third evaluation parameter threshold of the under-discharge strategy, it can be determined that the power equipment meets the adjustment strategy starting condition of the under-discharge strategy from the lithium precipitation risk dimension.

[0221] In some embodiments, the strategy adjustment platform can compare the equipment running time information with each third running time information threshold in the under-discharge strategy, and in the case that the equipment running time information is less than any one third running time information threshold of the under-discharge strategy, it is determined that the equipment running time information meets the first starting condition of the under-discharge strategy.

[0222] S604, determining the evaluation parameter comparison threshold from each third evaluation parameter threshold based on the third running time information threshold that the equipment running time information is less than.

[0223] In some embodiments, the strategy adjustment platform can determine the evaluation parameter comparison threshold that matches the third running time information threshold that the equipment running time information is less than from each third evaluation parameter threshold based on the third running time information threshold that the equipment running time information is less than.

[0224] S606, in the case that the lithium precipitation risk evaluation parameter is greater than or equal to the evaluation parameter comparison threshold, it is determined that the lithium precipitation risk evaluation parameter meets the second starting condition of the under-discharge strategy.

[0225] In some embodiments, the strategy adjustment platform can compare the lithium precipitation risk evaluation parameter with the evaluation parameter comparison threshold, and in the case that the lithium precipitation risk evaluation parameter is greater than or equal to the evaluation parameter comparison threshold, it is determined that the lithium precipitation risk evaluation parameter meets the second starting condition of the under-discharge strategy.

[0226] Also taking the equipment running time information as the ratio of the cumulative running time to the total period time, and the lithium precipitation risk evaluation parameter as the ratio of the low-end trigger times to the high-end trigger times as an example, the under-discharge strategy can include a third running time information threshold A, a third running time information threshold B, and a third running time threshold C, wherein the third running time information threshold A corresponds to a third evaluation parameter threshold A, the third running time information threshold B corresponds to a third evaluation parameter threshold B, and the third running time information threshold C corresponds to a third evaluation parameter threshold C. The adjustment strategy starting condition of the under-discharge strategy can include:

[0227]

[0228]

[0229] or

[0230]

[0231]

[0232] or

[0233]

[0234]

[0235] wherein, since the third running time information threshold value is negatively correlated with the corresponding third evaluation parameter threshold value, the greater the third running time information threshold value, the smaller the corresponding third evaluation parameter threshold value. For example, if the third running time information threshold value A > the third running time information threshold value B > the third running time threshold value C, then the third evaluation parameter threshold value A < the third evaluation parameter threshold value B < the third evaluation parameter threshold value C.

[0236] In the above embodiment, by comparing the device running time information with each third running time information threshold value of the undercharge strategy, in the case that the device running time information is less than any one third running time information, the lithium precipitation risk evaluation parameter is compared with the evaluation parameter comparison threshold value corresponding to the third running time information, so as to determine whether the power device meets the first start condition and the second start condition corresponding to the undercharge strategy. The judgment efficiency and accuracy of the undercharge strategy start condition judgment can be effectively improved.

[0237] In some embodiments, S208, controlling the power device to operate according to the target charge-discharge adjustment strategy, comprising: in the case that the target charge-discharge adjustment strategy includes the undercharge strategy, generating an undercharge strategy start instruction based on the undercharge strategy operation parameter, and sending the undercharge strategy start instruction to the battery management system of the power device.

[0238] In some embodiments, as shown in Figure 7 S208, controlling the power device to operate according to the target charge-discharge adjustment strategy, comprising:

[0239] S702, in the case that the target charge-discharge adjustment strategy includes the undercharge strategy, determining the strategy operation state of the end flow reduction strategy of the power device.

[0240] wherein, the strategy operation state of the end flow reduction strategy is state information that can represent the start-stop state of the end flow reduction strategy. The strategy operation state can include an open state and a closed state.

[0241] In some embodiments, the strategy adjustment platform can further determine the strategy operation state of the end flow reduction strategy of the power device in the case that the target charge-discharge adjustment strategy includes the undercharge strategy.

[0242] S704, in the case where the strategy running state of the terminal flow-down strategy is the closed state, determining the under-charge strategy running parameter matched with the equipment running time length information and the lithium precipitation risk assessment parameter.

[0243] The under-charge strategy running parameter is a control parameter required when the power equipment is controlled in the under-charge state. For example, the cut-off discharge voltage or the cut-off discharge state of charge in the under-charge state.

[0244] In some embodiments, the strategy adjustment platform can directly determine the under-charge strategy running parameter matched with the equipment running time length information and the lithium precipitation risk assessment parameter in the case where the strategy running state of the terminal flow-down strategy is the closed state.

[0245] In some embodiments, the strategy adjustment platform is pre-provided with a corresponding relationship between the equipment running time length information, the lithium precipitation risk assessment parameter and each under-charge strategy running parameter, and the strategy adjustment platform can find the matched under-charge strategy running parameter from the corresponding relationship according to the equipment running time length information and the lithium precipitation risk assessment parameter.

[0246] In some embodiments, the strategy adjustment platform is pre-provided with a determination function or a determination model of the under-charge strategy running parameter, and the corresponding under-charge strategy running parameter is determined based on the determination function or the determination model using the equipment running time length information and the lithium precipitation risk assessment parameter.

[0247] S706, generating an under-charge strategy starting instruction based on the under-charge strategy running parameter, and sending the under-charge strategy starting instruction to the battery management system of the power equipment.

[0248] The under-charge strategy starting instruction is an instruction signal for instructing the battery management system to control the power equipment in the under-charge strategy.

[0249] In some embodiments, the strategy adjustment platform can generate an under-charge strategy starting instruction based on the under-charge strategy running parameter, send the under-charge strategy starting instruction to the battery management system of the power equipment, and instruct the battery management system to control the power equipment in the under-charge strategy to alleviate the lithium precipitation phenomenon of the battery cell in the power equipment.

[0250] In the above embodiments, in the case that the strategy running state of the terminal current reduction strategy is in the closed state, the strategy adjustment platform can directly determine the under-discharge strategy running parameter matched with the device running time length information and the lithium precipitation risk evaluation parameter, and generate an under-discharge strategy starting instruction according to the under-discharge strategy running parameter, to instruct the battery management system of the power device to control the power device to execute the under-discharge strategy in the charging process according to the under-discharge strategy running parameter. In this way, the lithium precipitation phenomenon of the battery cell in the power device can be effectively alleviated in the under-discharge manner, and the service life of the battery can be prolonged.

[0251] In another case, as shown in Figure 8 The charge and discharge control method further includes the following steps:

[0252] S802, in the case that the strategy running state of the terminal current reduction strategy is in the open state, real-time device running information and real-time state of charge information of the power device are monitored in real time.

[0253] The real-time device running information is the device running information obtained by monitoring the power device in real time in the next running period. The real-time state of charge information is the state of charge information obtained by monitoring the power device in real time in the next running period.

[0254] In some embodiments, since the terminal current reduction strategy and the under-discharge strategy are both control strategies in the charging process, and the terminal current reduction strategy is a process adjustment strategy and the under-discharge strategy is a result strategy, the running of the terminal current reduction strategy may affect the judgment result of the opening condition of the under-discharge strategy, i.e., the power device may not satisfy the adjustment strategy opening condition of the under-discharge strategy during the running of the terminal current reduction strategy. In the case that the strategy running state of the terminal current reduction strategy is in the open state, the strategy adjustment platform can not directly open the under-discharge strategy, but first enter the next running period and monitor the power device in real time in the next running period to obtain the real-time device running information and the real-time state of charge information of the power device.

[0255] S804, based on the real-time device running information and the real-time state of charge information, the device running time length information and the lithium precipitation risk evaluation parameter are updated.

[0256] In some embodiments, the strategy adjustment platform can obtain real-time device running time length information and real-time lithium precipitation risk evaluation parameter based on the real-time device running information and the real-time state of charge information, and update the device running time length information and the lithium precipitation risk evaluation parameter based on the real-time device running time length information and the real-time lithium precipitation risk evaluation parameter.

[0257] S806, in the case that the power equipment does not meet the policy opening condition of the underfill charging strategy according to the updated equipment running time length information and / or the updated lithium precipitation risk evaluation parameter, it is determined that the target charging and discharging adjustment strategy does not include the underfill charging strategy.

[0258] In some embodiments, the policy adjustment platform determines that the target charging and discharging adjustment strategy does not include the underfill charging strategy in the case that the power equipment does not meet the policy opening condition of the underfill charging strategy according to the updated equipment running time length information and / or the updated lithium precipitation risk evaluation parameter, for example, the updated equipment running time length information does not meet the first starting condition of the underfill charging strategy, and / or the updated lithium precipitation risk evaluation parameter does not meet the second starting condition of the underfill charging strategy.

[0259] In the above embodiments, in the case that the end flow reduction strategy is in the open state, the policy adjustment platform can monitor the real-time equipment running information and the real-time state of charge information of the power equipment in real time to determine the changes of the equipment running time length information and the lithium precipitation risk evaluation parameter, and determine whether to open the underfill charging strategy according to the changed parameters. Through dynamic adjustment, the risk of over-opening of the underfill charging strategy is effectively reduced, the use efficiency of the power equipment is maintained, the lithium precipitation of the battery is reduced, and the service life of the battery is prolonged.

[0260] In some embodiments, the policy adjustment platform is a cloud platform, and the policy adjustment platform and the battery management system of the power equipment communicate through a data communication network (DCAN) interaction mechanism. When the policy adjustment platform controls the charging and discharging of the power equipment according to the target charging and discharging adjustment strategy, the DCAN can be used to implement the issuance of policy instructions and state feedback between the cloud and the power equipment, ensuring the real-time performance and accuracy of policy execution.

[0261] In some embodiments, in the case that the target charging and discharging adjustment strategy includes the end flow reduction strategy, the policy adjustment platform on the cloud can generate an end flow reduction strategy starting instruction based on the target flow reduction parameter, and send the end flow reduction instruction to the battery management system of the power equipment. The end flow reduction strategy starting instruction carries an end flow reduction strategy starting identifier (R2U_StepChrgPolicy=1) and a normal operation judgment identifier (R2U_IntegtPolicyCal) of the policy adjustment platform. After receiving the end flow reduction strategy starting instruction, the battery management system can first compare the normal operation judgment identifier with the normal operation judgment identifier at the previous moment. In the case that the normal operation judgment identifier is not equal to the normal operation judgment identifier at the previous moment, it is determined that the policy adjustment platform on the cloud is in a normal operation state, and then the battery is opened to the end flow reduction strategy according to the end flow reduction strategy starting identifier.

[0262] The battery management system can feed back the policy opening confirmation identifier (U2R_StepChrgPolicy=2) and the system normal operation judgment identifier (U2R_IntegtPolicyCal) to the policy adjustment platform after the end flow reduction policy is opened.

[0263] The policy adjustment platform compares the received system normal operation judgment identifier (U2R_IntegtPolicyCal) with the normal operation judgment identifier (R2U_IntegtPolicyCal) carried in the end flow reduction policy start instruction. When U2R_IntegtPolicyCal is equal to the value of R2U_IntegtPolicyCal, it is determined that the battery management system is in a normal operation state. At this time, according to the received policy opening confirmation identifier, it can be determined that the battery management system has completed the opening task of the end flow reduction policy. It can be understood that the valid value range of the normal operation judgment identifier can be a preset range, for example, 0~99. When the policy adjustment platform is in normal operation, the value of the normal operation judgment identifier will change within the valid value range, for example, from 0 to 99, and then from 99 to 0.

[0264] In other embodiments, if the policy adjustment platform needs to close the end flow reduction policy, it can send an end flow reduction policy closing instruction to the battery management system, which carries a policy closing confirmation identifier (R2U_StepChrgPolicy=2) and a normal operation judgment identifier (R2U_IntegtPolicyCal) of the policy adjustment platform. After receiving the end flow reduction policy closing instruction, the battery management system can first compare the normal operation judgment identifier with the normal operation judgment identifier at the previous time. When the normal operation judgment identifier is not equal to the normal operation judgment identifier at the previous time, it is determined that the policy adjustment platform in the cloud is in a normal operation state. Then, according to the policy closing confirmation identifier, the battery closes the end flow reduction policy.

[0265] The battery management system can feed back the policy opening confirmation identifier (U2R_StepChrgPolicy=2) and the system normal operation judgment identifier (U2R_IntegtPolicyCal) to the policy adjustment platform after the end flow reduction policy is opened.

[0266] The policy adjustment platform compares the received system normal operation judgment identifier (U2R_IntegtPolicyCal) with the normal operation judgment identifier (R2U_IntegtPolicyCal) carried in the issued end flow reduction policy start instruction. In the case where U2R_IntegtPolicyCal is the value of R2U_IntegtPolicyCal, it is determined that the battery management system is in a normal operation state. At this time, according to the received policy closing confirmation identifier, it can be determined that the battery management system has completed the closing task of the end flow reduction policy.

[0267] In some embodiments, in the case where the target charge and discharge adjustment policy includes a deep discharge policy, the policy adjustment platform on the cloud can generate a deep discharge policy opening instruction based on the state of charge internal and external mapping relationship, and send the deep discharge policy opening instruction to the battery management system of the power equipment. The deep discharge policy opening instruction carries a deep discharge policy start identifier (R2U_DeepDischrgPolicy=1) and a normal operation judgment identifier (R2U_IntegtPolicyCal) of the policy adjustment platform. After receiving the deep discharge policy opening instruction, the battery management system can first compare the normal operation judgment identifier with the normal operation judgment identifier at the previous moment. In the case where the normal operation judgment identifier is not equal to the normal operation judgment identifier at the previous moment, it can be determined that the policy adjustment platform on the cloud is in a normal operation state. Then, according to the deep discharge policy start identifier, the battery is opened to the deep discharge policy.

[0268] After the battery management system opens the deep discharge policy, it can feed back a policy opening confirmation identifier (U2R_DeepDischrgPolicy=1) and a system normal operation judgment identifier (U2R_IntegtPolicyCal) to the policy adjustment platform.

[0269] The policy adjustment platform compares the received system normal operation judgment identifier (U2R_IntegtPolicyCal) with the normal operation judgment identifier (R2U_IntegtPolicyCal) carried in the issued deep discharge opening instruction. In the case where U2R_IntegtPolicyCal is the value of R2U_IntegtPolicyCal, it is determined that the battery management system is in a normal operation state. At this time, according to the received policy opening confirmation identifier, it can be determined that the battery management system has completed the opening task of the deep discharge policy.

[0270] In some embodiments, if the policy adjustment platform needs to close the deep discharge policy, a deep discharge policy closing instruction can be sent to the battery management system, which carries a policy closing confirmation identifier (R2U_DeepDischrgPolicy=2) and a normal operation judgment identifier of the policy adjustment platform (R2U_IntegtPolicyCal). After receiving the deep discharge policy closing instruction, the battery management system can first compare the normal operation judgment identifier with the normal operation judgment identifier at the previous moment. If the normal operation judgment identifier is not equal to the normal operation judgment identifier at the previous moment, it can be determined that the policy adjustment platform in the cloud is in a normal operation state, and then the battery closes the deep discharge policy according to the policy closing confirmation identifier.

[0271] After closing the deep discharge policy, the battery management system can feed back the policy closing confirmation identifier (U2R_DeepDischrgPolicy=2) and the system normal operation judgment identifier (U2R_IntegtPolicyCal) to the policy adjustment platform.

[0272] The policy adjustment platform compares the received system normal operation judgment identifier (U2R_IntegtPolicyCal) with the normal operation judgment identifier (R2U_IntegtPolicyCal) carried in the deep discharge policy opening instruction. If U2R_IntegtPolicyCal is equal to R2U_IntegtPolicyCal, it is determined that the battery management system is in a normal operation state. At this time, according to the received policy closing confirmation identifier, it can be determined that the battery management system has completed the closing task of the deep discharge policy.

[0273] In some embodiments, when it is determined that the unfull charge policy needs to be started, the policy adjustment platform in the cloud can generate an unfull charge policy starting instruction based on the unfull charge policy running parameters, and send the unfull charge policy starting instruction to the battery management system of the power equipment. The unfull charge policy starting instruction carries an unfull charge policy starting identifier (R2U_UnfullChrgPolicy=1) and a normal operation judgment identifier of the policy adjustment platform (R2U_IntegtPolicyCal). After receiving the unfull charge policy starting instruction, the battery management system can first compare the normal operation judgment identifier with the normal operation judgment identifier at the previous moment. If the normal operation judgment identifier is not equal to the normal operation judgment identifier at the previous moment, it can be determined that the policy adjustment platform in the cloud is in a normal operation state, and then the battery opens the unfull charge policy according to the unfull charge policy starting identifier.

[0274] After the battery management system opens the unfull charging strategy, it can feed back the strategy opening confirmation identifier (U2R_UnfullChrgPolicy=1) and the system normal operation judgment identifier (U2R_IntegtPolicyCal) to the strategy adjustment platform.

[0275] The strategy adjustment platform compares the received system normal operation judgment identifier (U2R_IntegtPolicyCal) with the normal operation judgment identifier (R2U_IntegtPolicyCal) carried in the issued deep discharge opening instruction. In the case where U2R_IntegtPolicyCal is the value of R2U_IntegtPolicyCal, it is determined that the battery management system is in a normal operation state. At this time, according to the received strategy opening confirmation identifier, it can be determined that the battery management system has completed the opening task of the unfull charging strategy.

[0276] In other embodiments, if the strategy adjustment platform needs to close the unfull charging strategy, it can send an unfull charging strategy closing instruction to the battery management system, which carries a strategy closing confirmation identifier (R2U_UnfullChrgPolicy=2) and a normal operation judgment identifier (R2U_IntegtPolicyCal) of the strategy adjustment platform. After receiving the unfull charging strategy closing instruction, the battery management system can first compare the normal operation judgment identifier with the normal operation judgment identifier at the last time. In the case where the normal operation judgment identifier is not equal to the normal operation judgment identifier at the last time, it is determined that the strategy adjustment platform in the cloud is in a normal operation state. Then, according to the strategy closing confirmation identifier, the battery closes the unfull charging strategy.

[0277] After the battery management system closes the unfull charging strategy, it can feed back the strategy closing confirmation identifier (U2R_UnfullChrgPolicy=2) and the system normal operation judgment identifier (U2R_IntegtPolicyCal) to the strategy adjustment platform.

[0278] The strategy adjustment platform compares the received system normal operation judgment identifier (U2R_IntegtPolicyCal) with the normal operation judgment identifier (R2U_IntegtPolicyCal) carried in the issued deep discharge opening instruction. In the case where U2R_IntegtPolicyCal is the value of R2U_IntegtPolicyCal, it is determined that the battery management system is in a normal operation state. At this time, according to the received strategy opening confirmation identifier, it can be determined that the battery management system has completed the opening task of the unfull charging strategy.

[0279] In the above embodiment, efficient communication between the cloud and the power equipment is achieved through the DCAN interaction mechanism, which enables real-time issuance of strategy instructions and status feedback, improves the response speed and reliability between systems, and reduces the possibility of strategy adjustment failure due to communication delays or misjudgments.

[0280] In some embodiments, a charge and discharge control method is provided. This method is illustrated using an example of a cloud-based policy adjustment platform. The policy adjustment platform communicates with a battery management system of a new energy vehicle and the vehicle's onboard sensors. The onboard sensors can collect real-time information about the vehicle's cumulative operating time and sleep time, and upload this information to the cloud-based policy adjustment platform via a wireless communication module. Simultaneously, the battery management system can also upload real-time battery state of charge information to the cloud-based policy adjustment platform via the wireless communication module.

[0281] like Figure 9 As shown, the method may specifically include the following steps:

[0282] S901, obtaining equipment operation information and charge status information of the vehicle during an operation cycle.

[0283] S902: Determine the cumulative running time of the vehicle within the running cycle based on the equipment running information.

[0284] S903: Determine the ratio of the accumulated operating time to the total cycle time corresponding to the operating cycle as the equipment operating time information of the power equipment in the operating cycle.

[0285] The device operation time information is:

[0286]

[0287] S904 , determining, based on the state of charge information, the number of high-end triggers when the state of charge of the power equipment is greater than a preset high-end threshold and the number of low-end triggers when the state of charge is less than a preset low-end threshold during the operation cycle.

[0288] Among them, the strategy adjustment platform can determine the low-end SOC triggering number and the high-end SOC triggering number of the power equipment according to the state of charge information.

[0289] S905 , determining the ratio of the low-end triggering times to the high-end triggering times as a lithium plating risk assessment parameter of the power equipment during its operation cycle.

[0290] The risk assessment parameters for lithium plating are:

[0291]

[0292] S906, match the device running information and the lithium analysis risk evaluation parameter with the adjustment strategy opening condition of each candidate charging and discharging adjustment strategy respectively.

[0293] The candidate charging and discharging adjustment strategy includes an end flow reduction strategy, a deep discharge strategy and an incomplete charging strategy.

[0294] S907, determine the candidate charging and discharging adjustment strategy corresponding to the adjustment strategy opening condition as the target charging and discharging adjustment strategy of the vehicle in the case of determining that the adjustment strategy opening condition matches the vehicle.

[0295] S908, control the charging and discharging of the vehicle according to the target charging and discharging adjustment strategy.

[0296] The above steps are the overall steps of controlling the charging and discharging of the vehicle. In the following, how to determine whether the condition matches and how to control the charging and discharging of the vehicle according to the target charging and discharging adjustment strategy will be described from the perspective of the end flow reduction strategy, the deep discharge strategy and the incomplete charging strategy.

[0297] First, as shown in the following, the adjustment strategy opening condition matching of the end flow reduction strategy and the related method steps of controlling the charging and discharging of the vehicle according to the strategy are as follows: Figure 10

[0298] S1001, determine whether the device running time information meets the first starting condition of the end flow reduction strategy and whether the lithium analysis risk evaluation parameter meets the second starting condition of the end flow reduction strategy. In the case that the device running time information meets the first starting condition of the end flow reduction strategy and the lithium analysis risk evaluation parameter meets the second starting condition of the end flow reduction strategy, execute S1003, otherwise execute S1002.

[0299] In the case that the device running time information and the lithium analysis risk evaluation parameter meet the following conditions, it is determined that the vehicle matches the adjustment strategy starting condition of the end flow reduction strategy:

[0300]

[0301] S1002, turn off the end flow reduction strategy.

[0302] S1003, obtain the cut-off charging state of charge of the vehicle and determine the target flow reduction parameter matching the cut-off charging state of charge.

[0303] S1004, generate an end flow reduction strategy starting instruction based on the target flow reduction parameter and send the end flow reduction strategy starting instruction to the battery management system of the vehicle.

[0304] As shown in the following, Figure 11 ​As shown, the steps for adjusting the deep discharge strategy, matching the strategy start conditions, and controlling the vehicle's charge and discharge according to the strategy are as follows:

[0305] S1101: Determine whether the device operating time information satisfies the first activation condition of the deep discharge strategy and whether the lithium plating risk assessment parameter satisfies the second activation condition of the deep discharge strategy. If the device operating time information satisfies the first activation condition of the deep discharge strategy and the lithium plating risk assessment parameter satisfies the second activation condition of the deep discharge strategy, execute S1103; otherwise, execute S1102.

[0306] Among them, when the equipment operation time information and lithium plating risk assessment parameters meet the following conditions, it is determined that the vehicle and the adjustment strategy start conditions of the deep discharge strategy match:

[0307]

[0308] S1102, turn off the deep discharge strategy.

[0309] S1103 : Determine the vehicle's customary discharge state of charge based on the state of charge information.

[0310] S1104 , mapping the minimum discharge state of charge with the customary discharge state of charge to obtain an internal and external mapping relationship of the vehicle's state of charge.

[0311] The internal and external mapping relationship of the state of charge includes the mapping relationship between the actual state of charge inside the battery and the state of charge displayed outside the vehicle.

[0312] S1105 , generating a deep discharge strategy activation instruction according to the internal and external state of charge mapping relationship, and sending the deep discharge strategy activation instruction to the battery management system of the vehicle.

[0313] like Figure 12 As shown, the steps for adjusting the strategy to start the condition matching for the incomplete charging strategy and controlling the charging and discharging of the vehicle according to the strategy are as follows:

[0314] S1201: Determine whether the device operating time information satisfies the first activation condition of the under-charging strategy and whether the lithium plating risk assessment parameter satisfies the second activation condition of the under-charging strategy. If the device operating time information satisfies the first activation condition of the under-charging strategy and the lithium plating risk assessment parameter satisfies the second activation condition of the under-charging strategy, execute S1203; otherwise, execute S1202.

[0315] Among them, when the equipment operation time information and lithium plating risk assessment parameters meet any of the following conditions, it is determined that the vehicle matches the adjustment strategy start condition of the full charging strategy:

[0316]

[0317]

[0318]

[0319] S1202, closing the underfill strategy.

[0320] S1203, determining whether the strategy running state of the end flow-down strategy of the vehicle is in the closed state, if yes, executing S1204-S1205, if not, executing S1206.

[0321] S1204, determining the underfill strategy running parameter matched with the equipment running time information and the lithium precipitation risk assessment parameter.

[0322] S1205, generating an underfill strategy starting instruction based on the underfill strategy running parameter, and sending the underfill strategy starting instruction to the battery management system of the vehicle.

[0323] S1206, monitoring the real-time equipment running information and the real-time state of charge information of the vehicle in real time.

[0324] S1207, updating the equipment running time information and the lithium precipitation risk assessment parameter based on the real-time equipment running information and the real-time state of charge information.

[0325] S1208, determining whether the updated equipment running time information and / or the updated lithium precipitation risk assessment parameter meet the adjustment strategy opening condition of the underfill strategy, if yes, executing S1209, if not, executing S1202.

[0326] S1209, determining whether the running parameter of the vehicle battery is equal to the underfill strategy running parameter corresponding to the underfill strategy, if not, returning to execute S1206, if yes, executing S1205.

[0327] If the running parameter of the vehicle battery is equal to the underfill strategy running parameter, it means that the vehicle needs to prepare for the cut-off charging, and at this time, the vehicle still meets the adjustment strategy opening condition of the underfill strategy, and the strategy adjustment platform can control the vehicle to execute the underfill strategy. If the running parameter of the vehicle battery is less than the underfill strategy running parameter, it means that the end flow-down strategy can still be run at this time, and whether the underfill strategy needs to be closed is monitored in real time.

[0328] The above embodiments can intelligently determine whether to start the end flow reduction, deep discharge or not full charge strategy through dynamic calculation of the running time proportion and the low-end SOC triggering proportion, reduce the insufficient or excessive adjustment of the battery management caused by the fixed strategy, effectively alleviate the lithium precipitation phenomenon of the vehicle battery, improve the health status of the vehicle battery, and prolong the service life of the battery.

[0329] It should be understood that, although each step in the flowchart involved in each embodiment as described above is shown in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, there is no strict order limitation for the execution of these steps, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be alternately executed with at least part of other steps or steps or stages in other steps.

[0330] Based on the same inventive concept, the embodiments of the present application also provide a charging and discharging control device for implementing the charging and discharging control method described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more charging and discharging control device embodiments provided below can refer to the limitations of the charging and discharging control method described above, which will not be repeated here.

[0331] In some embodiments, as shown in Figure 13 A charging and discharging control device 1300 is provided, comprising: an information acquisition module 1301, a time length information and evaluation parameter determination module 1302, an adjustment strategy determination module 1303 and a control module 1304, wherein:

[0332] The information acquisition module 1301 is configured to acquire device operation information and state of charge information of the power equipment in a running cycle.

[0333] The time length information and evaluation parameter determination module 1302 is configured to determine device operation time length information of the power equipment in the running cycle based on the device operation information, and determine a lithium precipitation risk evaluation parameter of the power equipment in the running cycle according to the state of charge information.

[0334] The adjustment strategy determination module 1303 is configured to, in a case where it is determined that there is an adjustment strategy opening condition matched with the power equipment based on the device operation time length information and the lithium precipitation risk evaluation parameter, determine a candidate charging and discharging adjustment strategy corresponding to the adjustment strategy opening condition as a target charging and discharging adjustment strategy of the power equipment.

[0335] The control module 1304 is configured to perform charging and discharging control on the power equipment according to the target charging and discharging adjustment strategy.

[0336] In some embodiments, the time length information and evaluation parameter determination module 1302 includes an equipment running time length information determination sub-module configured to determine, based on the equipment running information, a cumulative running time length of the power equipment in the running period. A ratio of the cumulative running time length to a total time length of the period corresponding to the running period is determined as the equipment running time length information of the power equipment in the running period. Alternatively, the cumulative running time length of the power equipment in the running period is determined from the equipment running information. The cumulative running time length is determined as the equipment running time length information of the power equipment in the running period.

[0337] In some embodiments, the time length information and evaluation parameter determination module 1302 includes a lithium precipitation risk evaluation parameter determination sub-module configured to determine, based on the state of charge information, a high-end trigger number of times that the state of charge of the power equipment is greater than a preset high-end threshold value and a low-end trigger number of times that the state of charge of the power equipment is less than a preset low-end threshold value in the running period. The low-end trigger number of times and the high-end trigger number of times are calculated to obtain the lithium precipitation risk evaluation parameter of the power equipment in the running period, and the lithium precipitation risk evaluation parameter is negatively correlated with the lithium precipitation risk of the power equipment.

[0338] In some embodiments, the lithium precipitation risk evaluation parameter determination sub-module is configured to determine, based on the state of charge information, charging cutoff information and discharging cutoff information of the power equipment during charging and discharging; determine a habitually used power interval of the power equipment based on the charging cutoff information and the discharging cutoff information; obtain cell running temperature information of the power equipment in the running period, and determine a cell running temperature change trend of the power equipment in the running period; call a pre-trained lithium precipitation risk prediction model, and perform lithium precipitation risk prediction on the power equipment based on the habitually used power interval and the cell running temperature change trend to obtain the lithium precipitation risk evaluation parameter of the power equipment in the running period.

[0339] In some embodiments, the adjustment strategy opening condition includes a first starting condition and a second starting condition. The charging and discharging control device 1300 further includes a condition determination module configured to determine that the power equipment matches the adjustment strategy opening condition when the equipment running time length information meets the first starting condition of the adjustment strategy opening condition, and the lithium precipitation risk evaluation parameter meets the second starting condition of the adjustment strategy opening condition.

[0340] In some embodiments, the candidate charge-discharge adjustment strategy includes a terminal flow reduction strategy, and the condition judgment module is configured to: determine that the device running time information satisfies a first starting condition of the terminal flow reduction strategy, if the device running time information is less than a first running time information threshold of the terminal flow reduction strategy; and determine that the lithium precipitation risk assessment parameter satisfies a second starting condition of the terminal flow reduction strategy, if the lithium precipitation risk assessment parameter is greater than or equal to a first assessment parameter threshold of the terminal flow reduction strategy.

[0341] In some embodiments, the control module 1304 is configured to: obtain a cut-off charge state of the power device, if the target charge-discharge adjustment strategy includes a terminal flow reduction strategy; determine a target flow reduction parameter matched with the cut-off charge state; generate a terminal flow reduction strategy starting instruction based on the target flow reduction parameter; and send the terminal flow reduction strategy starting instruction to a battery management system of the power device.

[0342] In some embodiments, the candidate charge-discharge adjustment strategy includes a deep discharge strategy. The condition judgment module is configured to: determine that the device running time information satisfies a first starting condition of the deep discharge strategy, if the device running time information is less than a second running time information threshold of the deep discharge strategy; and determine that the lithium precipitation risk assessment parameter satisfies a second starting condition of the deep discharge strategy, if the lithium precipitation risk assessment parameter is greater than or equal to a second assessment parameter threshold of the deep discharge strategy.

[0343] In some embodiments, the control module 1304 is configured to: determine a habitual discharge state of charge of the power device based on the state of charge information, if the target charge-discharge adjustment strategy includes a deep discharge strategy; determine a minimum discharge state of charge matched with a device type to which the power device belongs; map the minimum discharge state of charge and the habitual discharge state of charge to obtain a state of charge internal-external mapping relationship of the power device; and generate a deep discharge strategy starting instruction according to the state of charge internal-external mapping relationship, and send the deep discharge strategy starting instruction to a battery management system of the power device.

[0344] In some embodiments, the candidate charge-discharge adjustment strategy includes an incomplete charging strategy. The incomplete charging strategy includes a plurality of third running time information thresholds and a plurality of third assessment parameter thresholds respectively corresponding to the third running time information thresholds; the third running time information threshold is negatively correlated with the corresponding third assessment parameter threshold. The condition judgment module is configured to: determine that the device running time information satisfies a first starting condition of the incomplete charging strategy, if the device running time information is less than any one of the third running time information thresholds of the incomplete charging strategy; determine an assessment parameter comparison threshold from the third assessment parameter thresholds based on the third running time information threshold that the device running time information is less than; and determine that the lithium precipitation risk assessment parameter satisfies a second starting condition of the incomplete charging strategy, if the lithium precipitation risk assessment parameter is greater than or equal to the assessment parameter comparison threshold.

[0345] In some embodiments, the control module 1304 is used to: determine the strategy operating state of the terminal current reduction strategy of the power equipment when the target charge and discharge regulation strategy includes a non-full charge strategy; determine the non-full charge strategy operating parameters that match the equipment operating time information and lithium plating risk assessment parameters when the strategy operating state of the terminal current reduction strategy is in the closed state; generate a non-full charge strategy start-up instruction based on the non-full charge strategy operating parameters, and send the non-full charge strategy start-up instruction to the battery management system of the power equipment.

[0346] In some embodiments, the adjustment strategy determination module 1303 is used to: when the strategy operation state of the terminal current reduction strategy is in the on state, monitor the real-time device operation information and real-time charge status information of the power equipment in real time; based on the real-time device operation information and real-time charge status information, update the device operation time information and lithium plating risk assessment parameters; when it is determined that the power equipment does not meet the adjustment strategy activation conditions of the full charge strategy based on the updated device operation time information and / or the updated lithium plating risk assessment parameters, determine that the target charge and discharge adjustment strategy does not include the full charge strategy.

[0347] Each module in the aforementioned charge and discharge control device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0348] In some embodiments, a computer device is provided. The computer device may be a server integrated with a policy adjustment platform. The internal structure diagram thereof may be as follows: Figure 14 As shown. The computer device includes a processor, a memory and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as device operation information, charge state information, device operation time information, lithium plating risk assessment parameters, adjustment strategy activation conditions, candidate charge and discharge adjustment strategies, and target charge and discharge adjustment strategies. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a charge and discharge control method is implemented.

[0349] Those skilled in the art will understand that Figure 14The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0350] In some embodiments, a computer device is provided, including a memory and a processor, the memory has stored therein a computer program, and the processor implements the specific steps of the above charging and discharging control method embodiments when executing the computer program.

[0351] In some embodiments, a computer readable storage medium is provided, having stored thereon a computer program, and the computer program implements the specific steps of the above charging and discharging control method embodiments when executed by a processor.

[0352] In some embodiments, a computer program product is provided, including a computer program, and the computer program implements the specific steps of the above charging and discharging control method embodiments when executed by a processor.

[0353] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties. And the acquisition, storage, processing, transmission, etc. of the data comply with the relevant provisions of laws and regulations.

[0354] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0355] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0356] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A charge and discharge control method, characterized in that: The method comprises: Obtain equipment operation information and charge status information of power equipment during its operation cycle; Determining, based on the device operation information, device operation duration information of the power device within the operation cycle, and determining, according to the state of charge information, a lithium plating risk assessment parameter of the power device within the operation cycle; If it is determined that there is a regulation strategy activation condition matching the power device based on the device operation time information and the lithium plating risk assessment parameter, determining the candidate charge and discharge regulation strategy corresponding to the regulation strategy activation condition as the target charge and discharge regulation strategy for the power device; Controlling the charging and discharging of the power equipment according to the target charging and discharging regulation strategy; The determining, based on the state of charge information, a lithium plating risk assessment parameter of the power equipment during the operation cycle includes: Determining, based on the state of charge information, a high-end triggering number of times the state of charge of the power equipment is greater than a preset high-end threshold value, and a low-end triggering number of times the state of charge is less than a preset low-end threshold value during the operation cycle; The low-end triggering number and the high-end triggering number are calculated to obtain a lithium plating risk assessment parameter of the power equipment during the operation cycle, wherein the lithium plating risk assessment parameter is negatively correlated with the lithium plating risk of the power equipment.

2. The method according to claim 1, characterized in that Determining the equipment operation time information of the power equipment within the operation cycle based on the equipment operation information includes any one of the following two items: The first item, Determining the accumulated operating time of the power equipment during the operating cycle based on the equipment operating information; Determining the ratio of the accumulated operating time to the total cycle time corresponding to the operating cycle as the equipment operating time information of the power equipment in the operating cycle; The second item, Determining the cumulative operating time of the power equipment during the operating cycle from the equipment operating information; The accumulated operating time is determined as the equipment operating time information of the power equipment in the operating cycle.

3. The method according to claim 1, characterized in that The determining, based on the state of charge information, a lithium plating risk assessment parameter of the power equipment during the operation cycle includes: Determining charging cutoff information and discharging cutoff information when the power device is charging and discharging according to the state of charge information; determining a customary power usage interval of the power equipment based on the charge cut-off information and the discharge cut-off information; Acquire the operating temperature information of the battery cells of the power equipment during the operating cycle, and determine the changing trend of the operating temperature of the battery cells of the power equipment during the operating cycle; A pre-trained lithium plating risk prediction model is called to predict the lithium plating risk of the power equipment based on the customary power usage range and the battery cell operating temperature change trend, so as to obtain a lithium plating risk assessment parameter of the power equipment during the operating cycle.

4. The method according to any one of claims 1 to 3, characterized in that The adjustment strategy activation condition includes a first activation condition and a second activation condition; The method further comprises: When the equipment operation time information satisfies the first start-up condition of the adjustment strategy start-up condition and the lithium plating risk assessment parameter satisfies the second start-up condition of the adjustment strategy start-up condition, it is determined that the power equipment matches the adjustment strategy start-up condition.

5. The method according to claim 4, characterized in that The candidate charge and discharge regulation strategies include a terminal current reduction strategy; The method further comprises: When the device operation time information is less than the first operation time information threshold of the terminal flow reduction strategy, determining that the device operation time information meets the first start condition of the terminal flow reduction strategy; When the lithium plating risk assessment parameter is greater than or equal to the first assessment parameter threshold of the terminal current reduction strategy, it is determined that the lithium plating risk assessment parameter meets the second starting condition of the terminal current reduction strategy.

6. The method according to claim 5, characterized in that The controlling the charge and discharge of the power equipment according to the target charge and discharge regulation strategy includes: When the target charge and discharge regulation strategy includes a terminal current reduction strategy, obtaining a cutoff charge state of charge of the power device; determining a target current reduction parameter that matches the cut-off charging state of charge; A terminal current reduction strategy start instruction is generated based on the target current reduction parameter, and the terminal current reduction strategy start instruction is sent to a battery management system of a power device.

7. The method according to claim 5, characterized in that The candidate charge and discharge regulation strategy includes a deep discharge strategy; the method further includes: When the device operation time information is less than a second operation time information threshold of the deep discharge strategy, determining that the device operation time information meets a first start condition of the deep discharge strategy; When the lithium plating risk assessment parameter is greater than or equal to a second assessment parameter threshold of the deep discharge strategy, it is determined that the lithium plating risk assessment parameter meets a second start condition of the deep discharge strategy.

8. The method according to claim 7, characterized in that The controlling the charge and discharge of the power equipment according to the target charge and discharge regulation strategy includes: In a case where the target charge and discharge adjustment strategy includes the deep discharge strategy, determining a customary discharge state of charge of the power device based on the state of charge information; Determining a lowest discharge state of charge that matches the type of equipment to which the power equipment belongs; Mapping the minimum discharge state of charge with the customary discharge state of charge to obtain an internal and external mapping relationship of the state of charge of the power equipment; A deep discharge strategy activation instruction is generated according to the internal and external mapping relationship of the state of charge, and the deep discharge strategy activation instruction is sent to the battery management system of the power equipment.

9. The method according to claim 7, characterized in that The candidate charge and discharge adjustment strategy includes a non-full charge strategy; the non-full charge strategy includes a plurality of third operating time information thresholds, and third evaluation parameter thresholds corresponding to the third operating time information thresholds respectively; The third running time information threshold is negatively correlated with the corresponding third evaluation parameter threshold; The method further comprises: When the device operation time information is less than any third operation time information threshold of the non-full charge strategy, determining that the device operation time information meets the first start condition of the non-full charge strategy; determining an evaluation parameter comparison threshold from each of the third evaluation parameter thresholds based on the third operation duration information threshold being less than the device operation duration information; When the lithium plating risk assessment parameter is greater than or equal to the assessment parameter comparison threshold, it is determined that the lithium plating risk assessment parameter meets the second starting condition of the undercharging strategy.

10. The method according to claim 9, characterized in that The controlling the charge and discharge of the power equipment according to the target charge and discharge regulation strategy includes: When the target charge and discharge regulation strategy includes a full charge strategy, determining a strategy operation state of a terminal current reduction strategy of the power equipment; When the strategy operation state of the terminal flow reduction strategy is in the closed state, determining the under-charging strategy operation parameters that match the equipment operation time information and the lithium plating risk assessment parameters; A full charge strategy start instruction is generated based on the full charge strategy operating parameters, and the full charge strategy start instruction is sent to the battery management system of the power equipment.

11. The method according to claim 10, characterized in that The method further comprises: When the terminal current reduction strategy is in an on-state, real-time equipment operation information and real-time charge state information of the power equipment are monitored in real time; Based on the real-time device operation information and the real-time state of charge information, updating the device operation time information and the lithium plating risk assessment parameter; When it is determined, based on the updated equipment operating time information and / or the updated lithium plating risk assessment parameters, that the power equipment does not meet the adjustment strategy activation condition of the full charge strategy, it is determined that the target charge and discharge adjustment strategy does not include the full charge strategy.

12. A charge and discharge control device, characterized in that: The device comprises: An information acquisition module is used to obtain equipment operation information and charge status information of the power equipment during its operation cycle; a duration information and evaluation parameter determination module, configured to determine the device operation duration information of the power device within the operation cycle based on the device operation information, and determine the lithium plating risk assessment parameters of the power device within the operation cycle according to the state of charge information; an adjustment strategy determination module for, when determining, based on the device operating time information and the lithium plating risk assessment parameter, that an adjustment strategy activation condition matching the power device exists, determining the candidate charge and discharge adjustment strategy corresponding to the adjustment strategy activation condition as the target charge and discharge adjustment strategy for the power device; A control module, configured to control the charging and discharging of the power equipment according to the target charging and discharging regulation strategy; Among them, the duration information and evaluation parameter determination module is used to: determine the number of high-end triggers of the power equipment during the operating cycle when the charge state is greater than a preset high-end threshold, and the number of low-end triggers when the charge state is less than a preset low-end threshold according to the charge state information; calculate the low-end trigger number and the high-end trigger number to obtain the lithium plating risk assessment parameter of the power equipment during the operating cycle, and the lithium plating risk assessment parameter is negatively correlated with the lithium plating risk of the power equipment.

13. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 11 are implemented.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented.

15. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented.

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