Methods, devices, equipment and storage media for dynamic adjustment of charging strategies

Abstract

This invention relates to the field of smart charging, and discloses a method, apparatus, device, and storage medium for dynamically adjusting a charging strategy. The method acquires the battery's state of charge (SOC) and environmental parameters; determines a charging strategy for the battery based on the SOC and environmental parameters; charges the battery based on the charging strategy and monitors its state in real time to obtain changes in battery state; and dynamically adjusts the charging strategy based on these changes. By incorporating environmental parameters into the formulation of the battery charging strategy, developing the strategy based on the SOC, and dynamically adjusting the strategy based on real-time changes in battery state, the method achieves rapid charging when the SOC is low and trickle charging when the SOC is high, improving charging efficiency, extending battery life, and enhancing the user experience.

Description

Technical Field

[0001] This invention relates to the field of intelligent charging technology, and in particular to a method, apparatus, device, and storage medium for dynamically adjusting charging strategies. Background Technology

[0002] As the electric vehicle market continues to expand, the penetration rate of electric vehicles is also increasing, and the demand for electric vehicle charging is also expanding accordingly.

[0003] Generally, due to numerous random factors such as the driving range of vehicle batteries, travel purpose, route planning, charging prices, and the availability of charging stations, the charging time and amount of charge generated by electric vehicles are randomly distributed among drivers and charging station operators, resulting in a disordered charging state. This disordered charging can cause problems such as power line overload, transformer overload, voltage fluctuations in the power grid, and increased power grid line losses during peak electricity consumption periods. Therefore, it is necessary to schedule and control the orderly charging of electric vehicles.

[0004] Existing charging strategy adjustment methods only consider the load of charging piles, without taking into account the impact of the battery's own charging parameters on charging efficiency, resulting in the current charging strategy adjustment methods having an insignificant adjustment effect.

[0005] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0006] The main objective of this invention is to provide a method, apparatus, device, and storage medium for dynamic adjustment of charging strategies, aiming to solve the technical problem that the adjustment effect of current charging strategy adjustment methods in the prior art is not obvious.

[0007] To achieve the above objectives, the present invention provides a method for dynamically adjusting a charging strategy, the method comprising the following steps:

[0008] Obtain battery state of charge and environmental parameters;

[0009] The charging strategy for the battery is determined based on the battery state of charge and the environmental parameters.

[0010] The battery is charged based on the charging strategy, and the battery status is monitored in real time to obtain changes in the battery status.

[0011] The charging strategy of the battery is dynamically adjusted according to the changes in the battery state.

[0012] Optionally, the step of determining the battery charging strategy based on the battery state of charge and the environmental parameters includes:

[0013] The charging coefficient of the battery is determined based on the environmental parameters.

[0014] When the charging coefficient is lower than a preset charging coefficient threshold, environmental adjustments are made to adjust the charging coefficient to a level not lower than the preset charging coefficient threshold.

[0015] Adjust the charging charge variation model according to the adjusted charging coefficient;

[0016] The charging strategy for the battery under the battery's state of charge is determined based on the charging charge change model.

[0017] Optionally, the step of determining the charging strategy of the battery under the state of charge based on the charging charge change model includes:

[0018] The first state-of-charge threshold and the second state-of-charge threshold are determined according to the charging charge change model.

[0019] When the battery state of charge is lower than the first state of charge threshold, the battery charging strategy is determined to be fast charging;

[0020] When the battery state of charge is higher than the second state of charge threshold, the battery charging strategy is determined to be trickle charging.

[0021] Optionally, the method is applied to the control of vehicle charging stations; the method further includes:

[0022] When there are multiple charging vehicles, obtain the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle.

[0023] Accordingly, the step of dynamically adjusting the charging strategy of the battery based on the changes in the battery state includes:

[0024] A load balancing charging strategy is constructed based on the battery changes of each charging vehicle and the corresponding travel demand of each charging vehicle.

[0025] The charging strategy for the batteries of each charging vehicle is dynamically adjusted according to the load balancing charging strategy.

[0026] Optionally, the charging pile has Mesh networking capabilities; prior to the step of obtaining the battery status changes of each vehicle and the corresponding travel needs of each vehicle when multiple vehicles are charging simultaneously, the method further includes:

[0027] Establish a network connection with the charging vehicles;

[0028] Accordingly, the step of obtaining the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle when multiple charging vehicles are present includes:

[0029] Based on the network connection, the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle are obtained.

[0030] Optionally, after the steps of charging the battery based on the charging strategy and performing real-time battery status monitoring to obtain changes in battery status, the method further includes:

[0031] The battery health report of the charging vehicle is determined based on the charging strategy and the changes in battery state.

[0032] The battery health report is sent to the charging vehicle based on the network connection.

[0033] Optionally, the environmental parameters include at least: ambient temperature and ambient humidity; the step of determining the battery charging coefficient based on the environmental parameters includes:

[0034] The charging coefficient of the battery is determined based on the ambient temperature and / or the ambient humidity.

[0035] Accordingly, the step of adjusting the environment to bring the charging coefficient to a level not lower than the preset charging coefficient threshold when the charging coefficient is lower than the preset charging coefficient threshold includes:

[0036] If the ambient temperature is lower than a preset temperature, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is subjected to a heating treatment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

[0037] And / or, if the ambient humidity is higher than a preset humidity, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is dried to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

[0038] Furthermore, to achieve the above objectives, the present invention also proposes a charging strategy dynamic adjustment device, the charging strategy dynamic adjustment device comprising:

[0039] The data acquisition module is used to acquire battery state of charge and environmental parameters;

[0040] The strategy management module is used to determine the battery charging strategy based on the battery state of charge and the environmental parameters;

[0041] A charging module is used to charge the battery based on the charging strategy.

[0042] The data acquisition module is also used to perform real-time battery status monitoring and obtain changes in battery status.

[0043] The strategy management module is also used to dynamically adjust the charging strategy of the battery according to the changes in the battery state.

[0044] Furthermore, to achieve the above objectives, the present invention also proposes a charging strategy dynamic adjustment device, the device comprising: a memory, a processor, and a charging strategy dynamic adjustment program stored in the memory and executable on the processor, the charging strategy dynamic adjustment program being configured to implement the steps of the charging strategy dynamic adjustment method as described above.

[0045] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing a charging strategy dynamic adjustment program, which, when executed by a processor, implements the steps of the charging strategy dynamic adjustment method described above.

[0046] This invention acquires battery state of charge (SOC) and environmental parameters; determines a charging strategy based on the SOC and environmental parameters; charges the battery based on the charging strategy and monitors its state in real time to obtain changes in battery state; and dynamically adjusts the charging strategy based on these changes. Because environmental parameters are incorporated into the formulation of the battery charging strategy, this invention's dynamic adjustment method can formulate different charging strategies for different environments, increasing the applicability of the charging method while improving charging efficiency. Furthermore, by formulating a charging strategy based on the battery SOC and dynamically adjusting it according to real-time changes in battery state—fast charging when the battery SOC is low and trickle charging when the battery SOC is high—charging efficiency is improved, battery life is extended, and the user experience is enhanced. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the structure of a charging strategy dynamic adjustment device for the hardware operating environment involved in the embodiments of the present invention.

[0048] Figure 2 This is a flowchart illustrating the first embodiment of the charging strategy dynamic adjustment method of the present invention;

[0049] Figure 3 This is a flowchart illustrating the second embodiment of the charging strategy dynamic adjustment method of the present invention;

[0050] Figure 4 This is a structural block diagram of the first embodiment of the charging strategy dynamic adjustment device of the present invention.

[0051] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0052] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0053] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure for dynamically adjusting the charging strategy of the hardware operating environment involved in the embodiments of the present invention.

[0054] like Figure 1 As shown, the charging strategy dynamic adjustment device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk storage device. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0055] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the device for dynamically adjusting the charging strategy, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0056] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a dynamic adjustment program for charging strategies.

[0057] exist Figure 1 In the dynamically adjusting charging strategy device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the dynamically adjusting charging strategy device of the present invention can be set in the dynamically adjusting charging strategy device, and the dynamically adjusting charging strategy device calls the dynamically adjusting charging strategy program stored in the memory 1005 through the processor 1001 and executes the dynamically adjusting charging strategy method provided in the embodiment of the present invention.

[0058] This invention provides a method for dynamically adjusting a charging strategy, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the dynamic adjustment method for charging strategy of the present invention.

[0059] In this embodiment, the dynamic adjustment method for the charging strategy includes the following steps:

[0060] Step S10: Obtain battery state of charge and environmental parameters.

[0061] It should be noted that the executing entity of the method in this embodiment can be a terminal device with data acquisition, strategy management, and program execution functions, such as a charging pile management device, a charging management device, or a server, or it can be an electronic device with the same or similar functions, such as the aforementioned charging strategy dynamic adjustment device. The following description uses the charging strategy dynamic adjustment device (hereinafter referred to as the adjustment device) as an example to illustrate this embodiment and the following embodiments.

[0062] It should be understood that battery charging efficiency varies under different parameters. For example, at low temperatures, the internal reaction rate of the battery slows down, leading to longer charging times; while at high temperatures, the internal reaction rate can be accelerated, shortening charging time, but this also increases battery lifespan. Similarly, high humidity environments may cause battery corrosion, indirectly affecting battery temperature. Furthermore, the charging speed is generally faster when the battery is in a low state of charge, and slower when it is in a high state of charge. Many parameters affect battery charging efficiency, and these will not be listed exhaustively in this embodiment of the invention; adjustments can be made based on actual usage.

[0063] It should be noted that the above-mentioned environmental parameters are also environmental parameters that can affect battery charging efficiency, such as temperature, humidity, and air pressure, and the embodiments of the present invention do not limit these parameters.

[0064] As can be understood, the aforementioned state of charge (SOC) is the ratio of the amount of charge stored in the battery to the maximum amount of charge the battery can hold. Generally, the state of charge is expressed as a percentage; for example, a battery with a 50% SOC means that it currently stores half of its maximum charge.

[0065] In practice, adjusting the device allows for the acquisition of battery state of charge (SOC) and environmental parameters. Because the battery charging strategy is planned by combining SOC with environmental parameters that affect charging efficiency, the charging process can be better controlled, improving charging efficiency while reducing battery wear and tear and extending battery life.

[0066] Step S20: Determine the battery charging strategy based on the battery state of charge and the environmental parameters.

[0067] It is understandable that the impact of environmental parameters such as temperature and humidity on battery charging should be considered when formulating charging strategies. For example, charging in a high-temperature environment may cause the battery to overheat, affecting its lifespan; charging in a low-temperature environment may cause the battery to become too cold, affecting the charging speed. Therefore, it is essential to determine the battery charging strategy based on environmental parameters and the battery's state of charge.

[0068] In one implementation of the present invention, for the purpose of illustrative purposes, the present invention takes temperature and humidity as environmental parameters as examples to provide a detailed description of this embodiment and the following embodiments.

[0069] Understandably, certain environmental thresholds can be set for the battery's environmental parameters. If these thresholds are not met, the battery can be treated accordingly before charging. For example, when the ambient temperature is below 0 degrees Celsius, the battery can be heated first; when the ambient temperature is above 35 degrees Celsius, the battery can be cooled first. Similarly, when the ambient humidity is greater than 90%, the battery can be dried.

[0070] It should be noted that the above thresholds can be selected according to the actual application, and the embodiments of the present invention do not impose any restrictions on them.

[0071] In one implementation of this invention, a certain state of charge threshold can be set for the battery. For example, when the SOC is below 20%, fast charging mode is adopted; when the SOC is above 85%, trickle charging mode is adopted.

[0072] It is understandable that the aforementioned fast charging mode (i.e., fast charging) is a charging mode that enables the battery to charge quickly by increasing the current. Fast charging typically charges the battery rapidly and is suitable for scenarios where users require fast charging. The aforementioned trickle charging mode (i.e., trickle charging) is a charging mode that enables the battery to charge slowly by increasing the current by a smaller, constant current. Compared to fast charging, trickle charging uses a smaller current and charges more slowly, but it avoids battery overheating and reduces charging losses.

[0073] It should be understood that the specific charging current and voltage values ​​for the above-mentioned fast charging mode and trickle charging mode can be selected according to the actual situation, and the embodiments of the present invention do not impose any restrictions on this.

[0074] In one implementation of this invention, the step of determining the battery charging strategy based on the battery state of charge and the environmental parameters includes:

[0075] Step S21: Determine the battery charging coefficient based on the environmental parameters;

[0076] Step S22: When the charging coefficient is lower than the preset charging coefficient threshold, environmental adjustment is performed to adjust the charging coefficient to be no lower than the preset charging coefficient threshold;

[0077] Step S23: Adjust the charging charge change model according to the adjusted charging coefficient;

[0078] Step S24: Determine the charging strategy of the battery under the battery charge state according to the charging charge change model.

[0079] It should be noted that the above charging coefficient is also the coefficient of the charging charge change model. This coefficient can be used to characterize the charging efficiency. For example, when the charging coefficient of the battery is 0.9, the battery can receive and store up to 90% of the output charge.

[0080] It is understood that the aforementioned preset charging coefficient threshold is a threshold determined by the user or manufacturer based on the battery's charging status. When the charging coefficient corresponding to the environmental parameters is lower than this preset charging coefficient threshold, it indicates that the current environmental parameters are causing the battery charging efficiency to be too low, and the environmental parameters need to be adjusted. Specifically, the environmental parameters include at least: ambient temperature and ambient humidity; the step of determining the battery's charging coefficient based on the environmental parameters includes:

[0081] The charging coefficient of the battery is determined based on the ambient temperature and / or the ambient humidity.

[0082] Accordingly, the step of adjusting the environment to bring the charging coefficient to a level not lower than the preset charging coefficient threshold when the charging coefficient is lower than the preset charging coefficient threshold includes:

[0083] If the ambient temperature is lower than a preset temperature, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is subjected to a heating treatment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

[0084] And / or, if the ambient humidity is higher than a preset humidity, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is dried to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

[0085] It is understood that separate thresholds can also be set for ambient temperature and ambient humidity. When the ambient temperature / humidity does not meet the corresponding threshold conditions, the environmental parameters can also be adjusted accordingly. The specific adjustment method can be as described above, and the embodiments of the present invention will not elaborate on this.

[0086] It should be noted that the charging charge change model is also the model for the changes in battery state of charge and charging efficiency. This model can be obtained through deep learning or statistical methods, and the embodiments of this invention do not impose any limitations on it.

[0087] It should be explained that when applying the dynamic adjustment method for charging strategy according to this embodiment of the invention to charging piles, the above-mentioned environmental adjustment step can be adapted to send a corresponding environmental adjustment command to the charging vehicle, so that the charging vehicle adjusts the environmental parameters according to the environmental adjustment command. For example, when the ambient temperature is lower than a preset temperature, a battery heating treatment command is sent to the charging vehicle, so that the charging vehicle can heat the battery according to the battery heating treatment command to adjust the charging coefficient to not be lower than the preset charging coefficient threshold.

[0088] Understandably, as the charging coefficient adjusts with environmental changes, the charging charge change model will also be adjusted accordingly. Based on the adjusted charging coefficient and charging charge change model, the charging strategy for the current battery state of charge can be determined.

[0089] Specifically, the step of determining the battery charging strategy under the battery state of charge based on the charging charge change model includes:

[0090] The first state-of-charge threshold and the second state-of-charge threshold are determined according to the charging charge change model.

[0091] When the battery state of charge is lower than the first state of charge threshold, the battery charging strategy is determined to be fast charging;

[0092] When the battery state of charge is higher than the second state of charge threshold, the battery charging strategy is determined to be trickle charging.

[0093] It is understood that the second state of charge threshold is greater than the first state of charge threshold. The first state of charge threshold is used to characterize the highest state of charge threshold of the fast charging mode, and the second state of charge threshold is used to characterize the lowest state of charge threshold of the trickle charging mode.

[0094] It should be understood that when the battery state of charge is between the first state of charge threshold and the second state of charge threshold, either fast charging mode or normal charging mode can be used, and the embodiments of the present invention do not limit this.

[0095] In one implementation of this invention, when the battery state of charge is between a first state of charge threshold and a second state of charge threshold, the user's charging needs (or the vehicle's travel needs) can be obtained, and a charging strategy for that state of charge range can be formulated based on the user's charging needs.

[0096] In its specific implementation, this invention determines the battery charging strategy based on the battery's state of charge (SOC) and environmental parameters. Because environmental parameters are incorporated into the formulation of the battery charging strategy, the dynamic adjustment method of this invention can formulate different charging strategies for different environments, increasing the applicability of the charging method while improving charging efficiency. Furthermore, formulating the charging strategy based on the battery's SOC allows for real-time adjustment, enabling rapid charging when the battery's SOC is low and trickle charging when the battery's SOC is high. This improves charging efficiency, extends battery life, and enhances the user experience.

[0097] Step S30: Charge the battery based on the charging strategy and monitor the battery status in real time to obtain changes in the battery status;

[0098] Step S40: Dynamically adjust the charging strategy of the battery according to the changes in the battery state.

[0099] It should be noted that the above-mentioned real-time monitoring content may include parameters such as battery state of charge, voltage, current, and temperature, and the embodiments of the present invention do not limit this.

[0100] In one implementation of this invention, after determining the charging strategy, the battery can be charged according to the charging strategy. During charging, the battery state can be detected in real time, and corresponding battery state changes can be generated to determine whether the output power and the battery charge change conform to the estimation of the charging charge change model. Then, the battery charging strategy can be adjusted in real time and dynamically according to the battery state changes.

[0101] In practice, the device adjusts the charging strategy based on the battery and monitors the battery status in real time to obtain changes in battery status. The charging strategy is then dynamically adjusted based on these changes. Because the charging strategy is dynamically adjusted according to real-time battery status changes, charging speed can be optimized, battery safety can be protected, and charging efficiency can be improved while extending battery life.

[0102] This invention acquires battery state of charge (SOC) and environmental parameters; determines a charging strategy based on the SOC and environmental parameters; charges the battery based on the charging strategy and monitors its state in real time to obtain changes in battery state; and dynamically adjusts the charging strategy based on these changes. Because environmental parameters are incorporated into the formulation of the battery charging strategy, this invention's dynamic adjustment method can formulate different charging strategies for different environments, increasing the applicability of the charging method while improving charging efficiency. Furthermore, by formulating a charging strategy based on the battery SOC and dynamically adjusting it according to real-time changes in battery state—fast charging when the battery SOC is low and trickle charging when the battery SOC is high—charging efficiency is improved, battery life is extended, and the user experience is enhanced.

[0103] Based on the first embodiment of the dynamic adjustment method for charging strategy of the present invention as described above, a second embodiment of the dynamic adjustment method for charging strategy of the present invention is proposed.

[0104] refer to Figure 3 , Figure 3 This is a flowchart illustrating the second embodiment of the dynamic adjustment method for charging strategy of the present invention.

[0105] In this embodiment, by acquiring the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle, the charging output power can be dynamically adjusted in combination with the overall situation of multiple charging piles, so as to achieve energy balance of multiple charging piles, achieve overall power balance in the entire charging area, and avoid excessive voltage fluctuations.

[0106] like Figure 3 As shown, in this embodiment, the method can be applied to the control of a charging pile, which can charge vehicles. Specifically, the method further includes:

[0107] Step S300: When there are multiple charging vehicles, obtain the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle.

[0108] Accordingly, the step of dynamically adjusting the charging strategy of the battery based on the changes in the battery state includes:

[0109] Step S40': Construct a load balancing charging strategy based on the battery changes of each charging vehicle and the corresponding travel demand of each charging vehicle.

[0110] Step S50: Dynamically adjust the charging strategy for the batteries of each charging vehicle according to the load balancing charging strategy.

[0111] Understandably, when multiple car chargers exist, each user's electric vehicle has different travel times, battery capacities, and battery quality. Therefore, dynamic adjustment of the current distribution among the charging stations is necessary to achieve overall grid load balance and rational utilization of charging station resources.

[0112] It should be understood that by obtaining information on the battery status changes of each charging vehicle and the corresponding travel needs of each charging vehicle, the charging output power can be dynamically adjusted in combination with the overall situation of multiple charging piles, so as to achieve energy balance among multiple charging piles, achieve overall power balance in the entire charging area, and avoid excessive voltage fluctuations.

[0113] It is understandable that the above-mentioned load balancing charging strategy is to adjust the charging strategy of each charging pile according to the charging demand of each charging pile, so that the multiple charging piles can achieve load balancing.

[0114] In one implementation of this invention, to dynamically adjust the charging strategy for each vehicle, the battery status changes of each vehicle can be monitored in real time during charging, and the vehicle's travel needs can be obtained. Based on these travel needs and battery status changes, a personalized charging plan can be developed. For vehicles about to travel, priority can be given to fully charging; for vehicles with good battery health, fast charging can be selected; and for vehicles with poor battery health, trickle charging can be used to avoid over-discharge.

[0115] In one implementation of this invention, when the battery's state of charge is at a first state of charge threshold and a second state of charge threshold, the vehicle's travel demand and the battery's state changes during charging can be obtained, thereby enabling charging strategy planning for the charging vehicle and obtaining the corresponding charging strategy, thus achieving load balancing among multiple charging piles.

[0116] It should be noted that the above-mentioned methods for determining vehicle travel demand can be by directly obtaining the travel demand set by the user in the charging vehicle, or by analyzing travel information such as vehicle mileage, driving route and usage time, or by other methods. This embodiment of the invention does not limit these methods.

[0117] In one implementation of this invention, to obtain the travel needs of vehicles, the charging pile can have a Mesh networking function. Before the step of obtaining the battery status changes of each vehicle and the corresponding travel needs of each vehicle when multiple vehicles are charging simultaneously, the method further includes:

[0118] Establish a network connection with the charging vehicles;

[0119] Accordingly, the step of obtaining the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle when multiple charging vehicles are present includes:

[0120] Based on the network connection, the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle are obtained.

[0121] It is understandable that when a charging vehicle connects to a charging station, it can establish a network connection with the charging station, thereby enabling data interaction between the adjustment device and the charging vehicle based on the network connection.

[0122] It should be understood that the adjustment device can obtain information on changes in the battery status of each charging vehicle and the corresponding travel needs (or travel information such as mileage, route and time of use) based on network connection.

[0123] It should be noted that the Mesh networking function of the charging pile can build a wireless local area network. As long as there is a charging pile with a normal signal in the charging area, the adjustment equipment and each charging pile can work normally, which can significantly reduce costs and effectively solve the pain points of poor mobile network coverage or weak signal and difficulty in connecting charging equipment to the network in underground parking garages.

[0124] Furthermore, the adjustment device can also determine the battery health status of the charging vehicle based on the charging strategy and battery changes. Specifically, after the steps of charging the battery based on the charging strategy and performing real-time battery status monitoring to obtain changes in battery status, the device further includes:

[0125] The battery health report of the charging vehicle is determined based on the charging strategy and the changes in battery state.

[0126] The battery health report is sent to the charging vehicle based on the network connection.

[0127] It is understandable that adjusting the device can also obtain battery characteristics such as battery type and capacity, and generate a charging curve based on battery characteristics and changes in battery state; based on the battery curve, the health status of the battery can be assessed, such as whether the battery has been overcharged and discharged, whether the charging speed is normal, whether the charging temperature is normal, etc., thereby generating a battery health report.

[0128] It should be understood that when generating a battery health report, the report can be sent to the corresponding charging vehicle, allowing users to understand the battery status in a timely manner.

[0129] This invention, when multiple charging vehicles are present, acquires the battery status changes of each charging vehicle and the corresponding travel demand of each vehicle; constructs a load balancing charging strategy based on the battery status changes and travel demands of each charging vehicle; and dynamically adjusts the charging strategy for each vehicle's battery according to the load balancing charging strategy. Because the load balancing charging strategy for multiple charging piles is determined based on the battery status changes of the charging vehicles corresponding to each charging pile and the travel demands of each charging vehicle, load balancing of each charging pile within the charging area is achieved, avoiding excessive voltage fluctuations.

[0130] Furthermore, this embodiment of the invention also proposes a storage medium storing a charging strategy dynamic adjustment program, which, when executed by a processor, implements the steps of the charging strategy dynamic adjustment method described above.

[0131] Based on the first embodiment of the dynamic adjustment method for charging strategy of the present invention, a first embodiment of the dynamic adjustment device for charging strategy of the present invention is proposed, with reference to... Figure 4 , Figure 4 This is a structural block diagram of the first embodiment of the charging strategy dynamic adjustment device of the present invention.

[0132] like Figure 4 As shown, the charging strategy dynamic adjustment device proposed in this embodiment of the invention includes:

[0133] Data acquisition module 401 is used to acquire battery state of charge and environmental parameters;

[0134] The strategy management module 402 is used to determine the battery charging strategy based on the battery state of charge and the environmental parameters.

[0135] The charging module 403 is used to charge the battery based on the charging strategy.

[0136] The data acquisition module 401 is also used to perform real-time battery status monitoring and obtain changes in battery status.

[0137] The strategy management module 402 is also used to dynamically adjust the charging strategy of the battery according to the changes in the battery state.

[0138] This invention acquires battery state of charge (SOC) and environmental parameters; determines a charging strategy based on the SOC and environmental parameters; charges the battery based on the charging strategy and monitors its state in real time to obtain changes in battery state; and dynamically adjusts the charging strategy based on these changes. Because environmental parameters are incorporated into the formulation of the battery charging strategy, this invention's dynamic adjustment method can formulate different charging strategies for different environments, increasing the applicability of the charging method while improving charging efficiency. Furthermore, by formulating a charging strategy based on the battery SOC and dynamically adjusting it according to real-time changes in battery state—fast charging when the battery SOC is low and trickle charging when the battery SOC is high—charging efficiency is improved, battery life is extended, and the user experience is enhanced.

[0139] In one implementation of this invention, the strategy management module 402 is further configured to determine the battery charging coefficient based on the environmental parameters; when the charging coefficient is lower than a preset charging coefficient threshold, perform environmental adjustment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold; adjust the charging charge change model based on the adjusted charging coefficient; and determine the battery charging strategy under the battery charging state based on the charging charge change model.

[0140] In one implementation of this invention, the strategy management module 402 is further configured to determine a first state of charge threshold and a second state of charge threshold based on the charging charge change model; when the battery state of charge is lower than the first state of charge threshold, determine that the battery charging strategy is fast charging; and when the battery state of charge is higher than the second state of charge threshold, determine that the battery charging strategy is trickle charging.

[0141] In one implementation of this invention, the data acquisition module 401 is further configured to acquire the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle when multiple charging vehicles exist; the strategy management module 402 is further configured to construct a load balancing charging strategy based on the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle; and dynamically adjust the charging strategy for the batteries of each charging vehicle according to the load balancing charging strategy.

[0142] In one implementation of this invention, the charging strategy dynamic adjustment device further includes a network connection module, which is used to establish a network connection with the charging vehicle; the data acquisition module 401 is also used to acquire the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle based on the network connection.

[0143] In one implementation of this invention, the dynamic adjustment device for charging strategy further includes: a report generation module, which is used to determine a battery health report of the charging vehicle based on the charging strategy and the battery state change; and to send the battery health report to the charging vehicle based on the network connection.

[0144] In one implementation of this invention, the strategy management module 402 is further configured to determine the battery charging coefficient based on the ambient temperature and / or the ambient humidity; if the ambient temperature is lower than a preset temperature, causing the battery charging coefficient to be lower than a preset charging threshold, the battery is subjected to a heating treatment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold; and / or, if the ambient humidity is higher than a preset humidity, causing the battery charging coefficient to be lower than the preset charging threshold, the battery is subjected to a drying treatment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

[0145] Other embodiments or specific implementations of the charging strategy dynamic adjustment device of the present invention can be referred to the above-described method embodiments, and will not be repeated here.

[0146] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0147] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0148] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0149] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for dynamically adjusting a charging strategy, characterized in that, The method includes: Obtain battery state of charge and environmental parameters; The charging strategy for the battery is determined based on the battery state of charge and the environmental parameters. The battery is charged based on the charging strategy, and the battery status is monitored in real time to obtain changes in the battery status. The charging strategy of the battery is dynamically adjusted according to the changes in the battery state. The step of determining the battery charging strategy based on the battery state of charge and the environmental parameters includes: The charging coefficient of the battery is determined based on the environmental parameters. When the charging coefficient is lower than a preset charging coefficient threshold, environmental adjustments are made to adjust the charging coefficient to a level not lower than the preset charging coefficient threshold. Adjust the charging charge variation model according to the adjusted charging coefficient; The charging strategy for the battery under the battery's charged state is determined based on the charging charge change model. The environmental parameters include at least: ambient temperature and ambient humidity; the step of determining the battery charging coefficient based on the environmental parameters includes: The charging coefficient of the battery is determined based on the ambient temperature and / or the ambient humidity. Accordingly, the step of adjusting the environment to bring the charging coefficient to a level not lower than the preset charging coefficient threshold when the charging coefficient is lower than the preset charging coefficient threshold includes: If the ambient temperature is lower than a preset temperature, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is subjected to a heating treatment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold. And / or, if the ambient humidity is higher than a preset humidity, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is dried to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

2. The dynamic adjustment method for charging strategy as described in claim 1, characterized in that, The step of determining the battery charging strategy under the battery's state of charge based on the charging charge change model includes: The first state-of-charge threshold and the second state-of-charge threshold are determined according to the charging charge change model. When the battery state of charge is lower than the first state of charge threshold, the battery charging strategy is determined to be fast charging; When the battery state of charge is higher than the second state of charge threshold, the battery charging strategy is determined to be trickle charging.

3. The dynamic adjustment method for charging strategy as described in claim 1, characterized in that, The method is applied to the control of vehicle charging stations; the method further includes: When there are multiple charging vehicles, obtain the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle. Accordingly, the step of dynamically adjusting the charging strategy of the battery based on the changes in the battery state includes: A load balancing charging strategy is constructed based on the battery changes of each charging vehicle and the corresponding travel demand of each charging vehicle. The charging strategy for the batteries of each charging vehicle is dynamically adjusted according to the load balancing charging strategy.

4. The dynamic adjustment method for charging strategy as described in claim 3, characterized in that, The charging pile has Mesh networking capabilities; prior to the step of obtaining the battery status changes of each vehicle and the corresponding travel needs of each vehicle when multiple vehicles are charging simultaneously, the method further includes: Establish a network connection with the charging vehicles; Accordingly, the step of obtaining the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle when multiple charging vehicles are present includes: Based on the network connection, the battery status changes of each charging vehicle and the corresponding travel demand of each charging vehicle are obtained.

5. The dynamic adjustment method for charging strategy as described in claim 4, characterized in that, After the steps of charging the battery based on the charging strategy and monitoring the battery status in real time to obtain changes in battery status, the method further includes: The battery health report of the charging vehicle is determined based on the charging strategy and the changes in battery state. The battery health report is sent to the charging vehicle based on the network connection.

6. A charging strategy dynamic adjustment device, characterized in that, The charging strategy dynamic adjustment device includes: The data acquisition module is used to acquire battery state of charge and environmental parameters; The strategy management module is used to determine the battery charging strategy based on the battery state of charge and the environmental parameters; A charging module is used to charge the battery based on the charging strategy. The data acquisition module is also used to perform real-time battery status monitoring and obtain changes in battery status. The strategy management module is also used to dynamically adjust the charging strategy of the battery according to the changes in the battery state; The step of determining the battery charging strategy based on the battery state of charge and the environmental parameters includes: The charging coefficient of the battery is determined based on the environmental parameters. When the charging coefficient is lower than a preset charging coefficient threshold, environmental adjustments are made to adjust the charging coefficient to a level not lower than the preset charging coefficient threshold. Adjust the charging charge variation model according to the adjusted charging coefficient; The charging strategy for the battery under the battery's charged state is determined based on the charging charge change model. The environmental parameters include at least: ambient temperature and ambient humidity; Determining the battery charging coefficient based on the environmental parameters includes: The charging coefficient of the battery is determined based on the ambient temperature and / or the ambient humidity. Accordingly, when the charging coefficient is lower than a preset charging coefficient threshold, the step of adjusting the environment to bring the charging coefficient to a level not lower than the preset charging coefficient threshold includes: If the ambient temperature is lower than a preset temperature, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is subjected to a heating treatment to adjust the charging coefficient to be no lower than the preset charging coefficient threshold. And / or, if the ambient humidity is higher than a preset humidity, causing the battery's charging coefficient to be lower than a preset charging threshold, the battery is dried to adjust the charging coefficient to be no lower than the preset charging coefficient threshold.

7. A device for dynamically adjusting a charging strategy, characterized in that, The device includes: a memory, a processor, and a charging strategy dynamic adjustment program stored in the memory and executable on the processor, the charging strategy dynamic adjustment program being configured to implement the steps of the charging strategy dynamic adjustment method as described in any one of claims 1 to 5.

8. A storage medium, characterized in that, The storage medium stores a charging strategy dynamic adjustment program, which, when executed by a processor, implements the steps of the charging strategy dynamic adjustment method as described in any one of claims 1 to 5.

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