Battery health status estimation method, device, storage medium and electronic device

Abstract

The present application provides a method, device, storage medium and electronic device for estimating the health status of a battery, and relates to the field of batteries. The electronic device obtains the SOH values ​​of multiple energy storage units in an energy storage system; obtains a first global SOH value of the energy storage system based on the SOH values ​​of the multiple energy storage units; wherein the first global SOH value represents the SOH value of the entire energy storage system; obtains a second global SOH value of the energy storage system; wherein the second global SOH value is calculated through the total charge and discharge data of multiple energy storage units; obtains a target SOH value of the energy storage system based on the first global SOH value and the second global SOH value. In this way, by comprehensively considering the SOH values ​​of a single energy storage unit and the entire energy storage system, the target SOH value estimated for the energy storage system is more accurate.

Description

Technical Field

[0001] The present application relates to the field of batteries, and in particular, to a method, device, storage medium and electronic device for estimating the health status of a battery. Background Art

[0002] The state of health (SOH) value of a battery is a parameter used to characterize the ratio of the current capacity of the battery to its initial capacity, usually expressed as a percentage. SOH reflects the degree of aging and performance degradation of the battery during use, and is an important indicator for evaluating the operating status and remaining service life of the battery. The higher the SOH value, the better the battery performance and the slower the capacity decay; conversely, the lower the SOH value, the more obvious the battery performance has declined and may need to be replaced or maintained. In this regard, the industry has proposed a variety of mature SOH estimation methods, such as offline table lookup method, charge and discharge estimation method, and neural network method.

[0003] The above-mentioned SOH estimation methods usually assume that the energy storage units in the entire energy storage system decay at the same decay rate. Therefore, the entire energy storage system is often used as the research object. However, it is found in practice that there may be inconsistencies in the usage time and cell types among multiple energy storage units of the energy storage object, which means that multiple energy storage units do not decay at the same decay rate. Therefore, it is difficult to obtain a more accurate SOH value using the relevant estimation methods that take the entire energy storage system as the research object. Summary of the invention

[0004] In order to overcome at least one of the deficiencies in the prior art, the present application provides a method, device, storage medium and electronic device for estimating the health status of a battery, specifically including:

[0005] In a first aspect, the present application provides a method for estimating a health state of a battery, the method comprising:

[0006] Obtaining SOH values ​​of multiple energy storage units in the energy storage system;

[0007] Obtaining a first global SOH value of the energy storage system according to the SOH values ​​of the multiple energy storage units, wherein the first global SOH value represents the SOH value of the entire energy storage system;

[0008] Acquire a second global SOH value of the energy storage system, wherein the second global SOH value is calculated by total charge and discharge data of the plurality of energy storage units;

[0009] A target SOH value of the energy storage system is obtained according to the first global SOH value and the second global SOH value.

[0010] In a second aspect, the present application provides a battery health status estimation device, the device comprising:

[0011] A unit monitoring module is used to obtain the SOH values ​​of multiple energy storage units in the energy storage system;

[0012] A global monitoring module, configured to obtain a first global SOH value of the energy storage system according to the SOH values ​​of the plurality of energy storage units, wherein the first global SOH value represents the SOH value of the entire energy storage system;

[0013] The global monitoring module is further used to obtain a second global SOH value of the energy storage system, wherein the second global SOH value is calculated by total charge and discharge data of the multiple energy storage units;

[0014] A comprehensive evaluation module is used to obtain a target SOH value of the energy storage system according to the first global SOH value and the second global SOH value.

[0015] In a third aspect, the present application provides a storage medium storing a computer program, which implements the battery health status estimation method under the condition that the computer program is executed by a processor.

[0016] In a fourth aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the battery health status estimation method is implemented.

[0017] Compared with the prior art, this application has the following beneficial effects:

[0018] The present application provides a method, device, storage medium and electronic device for estimating the health status of a battery. The electronic device obtains the SOH values ​​of multiple energy storage units in an energy storage system; obtains a first global SOH value of the energy storage system based on the SOH values ​​of the multiple energy storage units; the first global SOH value represents the SOH value of the entire energy storage system; obtains a second global SOH value of the energy storage system; the second global SOH value is calculated by the total charge and discharge data of the multiple energy storage units; and obtains a target SOH value of the energy storage system based on the first global SOH value and the second global SOH value. In this way, by comprehensively considering the SOH values ​​of a single energy storage unit and the entire energy storage system, the target SOH value estimated for the energy storage system is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A flowchart of a method for estimating the health status of a battery provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the circuit structure between multiple energy storage units in the energy storage system provided in an embodiment of the present application;

[0022] Figure 3 A schematic diagram of recording the state of each energy storage unit through an array provided in an embodiment of the present application;

[0023] Figure 4 A schematic diagram of the SOH value update principle provided in an embodiment of the present application;

[0024] Figure 5A The OCV-SOC table of the ternary lithium battery provided in the embodiment of the present application;

[0025] Figure 5B The OCV-SOC table of the lithium iron phosphate battery provided in the embodiment of the present application;

[0026] Figure 6 A schematic diagram of the structure of a battery health status estimation device provided in an embodiment of the present application;

[0027] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0029] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0030] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0031] In the description of the present application, it should be noted that the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance. In addition, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0032] Based on the above statement, as introduced in the background technology, the energy storage system includes multiple energy storage units (also known as battery packs) which may have inconsistent usage time and inconsistent battery cell types, resulting in multiple energy storage units not decaying at the same decay rate. For example, in the energy storage system of an energy storage power station, multiple energy storage units are included. Some of the energy storage units may have been working for a long time, while others may be newly replaced. In addition, different energy storage units may use different types of battery cells, such as some use lithium iron phosphate batteries, while others use ternary lithium batteries. These differences will lead to large differences in the SOH values ​​between the energy storage units. Therefore, the SOH value obtained by taking the entire energy storage power station as the research object cannot accurately reflect the actual situation of the energy storage power station.

[0033] Based on the discovery of the above technical problems, the inventors have proposed the following technical solutions to solve or improve the above problems through creative work. It should be noted that the defects in the solutions in the above prior art are the results obtained by the inventors after practice and careful research. Therefore, the discovery process of the above problems and the solutions proposed in the embodiments of the present application for the above problems below should all be the contributions made by the inventors to the present application in the process of invention and creation, and should not be understood as technical contents known to those skilled in the art.

[0034] In view of this, one or more embodiments of the present application (hereinafter referred to as the present embodiment) provide a method for estimating the health status of a battery. Figure 1 As shown, the method includes:

[0035] S1, obtaining SOH values ​​of multiple energy storage units in the energy storage system.

[0036] S2: Obtain a first global SOH value of the energy storage system according to the SOH values ​​of the multiple energy storage units.

[0037] The first global SOH value represents the SOH value of the entire energy storage system.

[0038] S3, obtaining a second global SOH value of the energy storage system.

[0039] The second global SOH value is calculated through total charge and discharge data of multiple energy storage units.

[0040] S4, obtaining a target SOH value of the energy storage system according to the first global SOH value and the second global SOH value.

[0041] In this way, by comprehensively considering the SOH value of a single energy storage unit and the entire energy storage system, the target SOH value estimated for the energy storage system is made more accurate.

[0042] It should be understood that the electronic device implementing the battery health status estimation method may be, but is not limited to, a mobile terminal, a tablet computer, a laptop computer, a desktop computer, a battery management system, a vehicle-mounted computer, a server, and the like. The server may be a single server or a server group. The server group may be centralized or distributed (for example, the server may be a distributed system). In some embodiments, the server may be local or remote relative to the user terminal. In some embodiments, the server may be implemented on a cloud platform; as an example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, the server may be implemented on an electronic device having one or more components.

[0043] To make the solution provided by this embodiment clearer, the following uses the server of the energy storage power station as an electronic device to implement the method. Figure 1 Each step of the method shown is described in detail. However, it should be understood that the operations of the flowchart may not be implemented in order, and steps without logical contextual relationship may be reversed or implemented simultaneously. In addition, those skilled in the art may add one or more other operations to the flowchart, or remove one or more operations from the flowchart under the guidance of the content of this application. Figure 1 , the method comprising:

[0044] S1, obtaining SOH values ​​of multiple energy storage units in the energy storage system.

[0045] In an optional implementation, for each energy storage unit, the server can control the energy storage unit and the load to form an independent closed loop; obtain the charging and discharging data after the energy storage unit and the load form an independent closed loop; and obtain the SOH value of the energy storage unit based on the charging and discharging data.

[0046] For example, Figure 2 As shown in the figure, the circuit structure between multiple energy storage units 11 in the energy storage system is shown. In the figure, each energy storage unit 11 is represented as , Indicates the serial number of the energy storage unit 11, which is a positive integer greater than 0. When the energy storage system is running, in order to facilitate the function of some energy storage units 11 when there is a fault inside or the voltage of the pack / internal monomer is too high or too low, these energy storage units 11 are functionally cut out to enable the normal operation of the remaining energy storage units 11. When designing the circuit structure, each energy storage unit 11 is configured with a bypass switch 13 and a main circuit switch 12. When it is necessary to calculate the The SOH value can be closed The main circuit switch is disconnected bypass switch and the remaining energy storage units ( )'s main circuit switch is disconnected and the bypass switch is closed, thus forming A closed loop with the load 14 is formed so as to The other energy storage units are similar, and will not be described in detail in this embodiment.

[0047] In an optional implementation, based on the above control method, the SOH value of the energy storage unit can be obtained by using a charge and discharge estimation method. This method estimates the remaining capacity of the battery by recording the charge and discharge data of the battery under specific charge and discharge conditions, and then calculates the SOH. For example, under slow charging and static conditions, from a certain state of charge (SOC) to a full state, the SOH is corrected according to the amount of electricity charged. That is, SOH = (charge capacity - discharge capacity) / (100% - minimum single cell SOC during calibration) / rated capacity.

[0048] However, it is found in practice that the actual working conditions of energy storage power stations are extremely complex, and not every working condition is suitable for estimating the SOH value. In this regard, this embodiment selects a more ideal target working condition to calculate the SOH of the energy storage unit, and in the process of recording the charge and discharge data, once a situation that destroys the target working condition is detected, the charge and discharge data recorded this time is abandoned until the next time the target working condition is detected, and the charge and discharge data is recorded again. In this way, a relatively accurate SOH value can be obtained. The target working condition and the situation that destroys the target working condition are explained below.

[0049] Details of the target conditions include:

[0050] 1. All sampling signal valid status bits in the battery pack are valid, and the battery pack system has no fault alarm;

[0051] 2. The status bit of the corresponding number in the SOH calculation array is 0;

[0052] 3. The minimum temperature of the battery cell is greater than or equal to 20°C;

[0053] 4. The current battery pack has been left to stand for more than 2 hours;

[0054] 5. The battery pack is calibrated according to the open circuit voltage and the single cell SOC MAX <=20%;

[0055] 6. The accumulated discharge power before the battery pack is fully charged does not exceed the rated capacity; (because the SOH update strategy is a process of fully charging from a low power level, the continuity of the charging process is ensured as much as possible to prevent the charge and discharge status from affecting the current sampling and further affecting the capacity calculation).

[0056] The situations that destroy the target working condition include (if any of the following conditions is met, the current charge and discharge data will be abandoned):

[0057] 1. The sampling signal is in an invalid state;

[0058] 2. The system has an alarm failure;

[0059] 3. The minimum temperature of the battery cell is less than 20 degrees;

[0060] 4. After the update strategy is turned on, the open circuit voltage calibration appears again (for example, the first calibration is 10%, and after charging for a period of time, the open circuit voltage is calibrated to 15%, then the first start of the update strategy is exited, and 15% is used as the starting SOC point for the update strategy afterwards);

[0061] 5. The battery pack is calibrated according to the open circuit voltage SOC MAX Greater than 20%;

[0062] 6. The accumulated discharge power of the battery pack exceeds the rated capacity before it is fully charged.

[0063] It should be understood that the above-mentioned target operating conditions and the conditions that destroy the target operating conditions are merely examples provided by this embodiment and should not be regarded as limitations on the present application. In other words, the technicians implementing the present application can make adaptive adjustments as needed. In addition, when calculating the SOH value of each energy storage unit, other mature SOH estimation methods can also be used. Such as offline table lookup method and neural network method. These methods are described in detail below.

[0064] (1) Offline table lookup method: This method performs cyclic charge and discharge tests based on the specified battery model and establishes a two-dimensional table containing the battery life percentage (SOH) and the number of cycles. The number of charge and discharge times of the battery is recorded in the software, and the current SOH value can be obtained by querying the table. This method is simple and intuitive, but it relies on a pre-established table and requires separate testing for different battery models.

[0065] (2) Neural network method: This method uses the powerful nonlinear mapping ability of neural networks, takes various operating data of the battery (such as voltage, current, temperature, charge and discharge times, etc.) as input, and the battery's SOH as output. The neural network model is trained with a large amount of data so that it can accurately predict the battery's SOH based on the input data. The accuracy of this method is highly dependent on the quality and quantity of the training data, but the amount of calculation is large and the requirements for hardware equipment are high. Nevertheless, the neural network method performs well in processing complex nonlinear relationships and has high prediction accuracy.

[0066] In this way, when the energy storage system is in an idle state, the server calculates the SOH value of each energy storage unit in turn and provides Figure 3 The array shown records the status of each energy storage unit. When the SOH value of a certain energy storage unit is obtained, the corresponding position of the array is marked as 1 until all the flags of the array are marked as 1. Then, the SOH values ​​of these energy storage units are used to calculate the first global SOH value. Finally, the array is reset to 0 and the next round of SOH value calculation of the battery pack is continued.

[0067] In other optional implementations, when the SOH value of the energy storage unit is obtained based on the charge and discharge data, the current SOH value may be combined with the historical SOH value of the energy storage unit to obtain a more accurate SOH value.

[0068] For example, Figure 4 As shown, the SOH value of each energy storage unit is assigned three storage values ​​to store the SOH values ​​calculated for the last three times. It can be understood that the initial value of each energy storage unit is 100%. Every time a new SOH value is generated, the old value will be overwritten from left to right to achieve the update. According to the characteristics of the battery cell, the latest calculated SOH value has the highest reliability. Therefore, a time weight can be assigned to each updated SOH value, which is determined by the time from each SOH value to the current one. Specifically, the value weight is 1 when the difference in days is less than 30, and the value weight is 0.1 when the difference in days is greater than 90. The interpolation process is [1,0.1] within 30-90. Finally, the current SOH value is weighted and summed with the historical SOH value to obtain the SOH value of the energy storage unit. However, when a maximum of 3 SOH values ​​of the energy storage unit are recorded, the corresponding expression is:

[0069]

[0070] In the formula, Respectively represent 3 SOH values, including the current SOH value and the historical SOH value; Indicates their respective weights.

[0071] Based on the description of the SOH values ​​of multiple energy storage units in the above embodiment, see Figure 1 , the method further comprises:

[0072] S2: Obtain a first global SOH value of the energy storage system according to the SOH values ​​of the multiple energy storage units.

[0073] Among them, the first global SOH value represents the SOH value of the entire energy storage system. In this regard, it should be understood that it has been found in practice that some of the multiple energy storage units may be replaced later or newly added; in addition, even the same batch of energy storage units may only have small differences when they are first used, but after long-term use, such differences will gradually expand. Therefore, the SOH values ​​of multiple energy storage units are not evenly distributed, that is, there may be large differences in the SOH values ​​of each energy storage unit in the energy storage system. This embodiment uses the maximum SOH value and the minimum SOH value to recalculate an SOH value that changes smoothly from maximum to minimum, which is used to characterize the global SOH value of the entire energy storage system. In this regard, optional implementations of step S2 may include:

[0074] S2-1, identifying a maximum SOH value and a minimum SOH value from the SOH values ​​of the plurality of energy storage units.

[0075] S2-2, performing weighted summation on the maximum SOH value and the minimum SOH value to obtain a first global SOH value.

[0076] It should be understood that in the relevant technology, weights can be set in advance for the maximum SOH value and the minimum SOH value for use in weighted summation operations. However, after practice, it was found that the adaptability of this method is relatively weak. Alternatively, a fixed reference value can be set for the maximum SOH value and the minimum SOH value. On this basis, the weight is dynamically determined according to the gap between the two SOH values ​​and the reference value, that is, the smaller the gap, the higher the weight assigned. Although this processing method is more flexible, an optimal SOH value is artificially introduced. However, in the field of batteries, there is often no concept of an optimal SOH value. Instead, for safety reasons, a smaller SOH value is tended to be selected to ensure the safety of battery use, but this method often sacrifices the performance of newly added energy storage units. In this regard, the weight strategy provided in this embodiment can adaptively select the maximum or minimum value.

[0077] To achieve this goal, in this embodiment, the server obtains a first difference between the upper limit of the SOH safety range and the maximum SOH value, and a second difference between the minimum SOH value and the lower limit of the SOH safety range; sums the first difference and the second difference to obtain a weight reference value; obtains the weight of the minimum SOH value and the weight of the maximum SOH value based on the ratio between the first difference, the second difference and the weight reference value; and performs weighted summation based on the respective weights of the maximum SOH value and the minimum SOH value to obtain a first global SOH value.

[0078] As an optional implementation, the server may use the ratio between the first difference value and the weight reference value as the weight of the minimum SOH value, and use the ratio between the second difference value and the weight reference value as the weight of the maximum SOH value.

[0079] For example, assuming that the SOH safety range is 100% to 70%, when the SOH value of a certain energy storage unit is lower than 70%, it is determined that the service life of the energy storage unit has reached a critical value, and if it continues to be used, there will be a greater risk. Therefore, the server can first determine whether the maximum SOH value and the minimum SOH value are both within the SOH safety range.

[0080] If not all are within the SOH safety range, determine whether the maximum SOH value is greater than or equal to the upper limit of the SOH safety range, and the minimum SOH value is greater than the lower limit of the SOH safety range; if so, take the upper limit of the SOH safety range as the first global SOH value; otherwise, take the lower limit of the SOH safety range as the first global SOH value.

[0081] If both are within the SOH safety range, the maximum SOH value and the minimum SOH value can be weighted by the following expression:

[0082]

[0083] In the formula, represents the first global SOH value, Indicates the minimum SOH value, Represents the minimum SOH value. It can be seen from the above expression that when the minimum SOH value and the maximum SOH value are both close to 70%, the weight of the maximum SOH value is small, and the weight of the minimum SOH value is large. At this time, the SOH value close to 70% is selected from the two as the first global SOH value. On the contrary, when the minimum SOH value and the maximum SOH value are both close to 100%, the weight of the maximum SOH value is large, and the weight of the minimum SOH value is small. At this time, the SOH value close to 100% is selected from the two as the first global SOH value.

[0084] Based on the introduction of the first global SOH in the above embodiment, continue to refer to Figure 1 , the method further comprises:

[0085] S3, obtaining a second global SOH value of the energy storage system.

[0086] Among them, the second global SOH value is calculated by the total charge and discharge data of multiple energy storage units. In this regard, the total charge and discharge data can be processed in the above-mentioned way of calculating the SOH value of a single energy storage unit to obtain the SOH value. It can be understood that the second global SOH value actually reflects the overall safety of the entire energy storage system, but ignores the safety of a single energy storage unit.

[0087] S4, obtaining a target SOH value of the energy storage system according to the first global SOH value and the second global SOH value.

[0088] In this regard, the server can use the average of the first global SOH value and the second global SOH value, or the smaller of them, as the target SOH value of the energy storage system. In this way, the SOH value of a single energy storage unit and the global SOH value of the entire energy storage system are comprehensively considered, making the target SOH value estimated for the energy storage system more accurate.

[0089] In practice, we also found that the current mainstream battery cell types include lithium iron phosphate battery cells and ternary lithium battery cells, and the characteristics of the two battery cells are obviously different. Figure 5A The OCV-SOC table of the ternary lithium battery shown, Figure 5B The OCV-SOC table of lithium iron phosphate battery shown in the figure, OCV means open circuit voltage. It is not difficult to see that the static voltage of ternary lithium battery at different SOC points has a relatively obvious distinction, while the voltage of lithium iron phosphate battery has almost no change in the SOC range of 30%-90%. In addition, the voltage range of lithium iron phosphate battery is [2.5V 3.65V], and that of ternary lithium battery is [2.7V 4.2V].

[0090] Energy storage power stations often replace energy storage power sources in energy storage systems. Therefore, for new energy storage units, it is necessary to first identify the type of battery cells they use before they can be used in conjunction with the system at the software level. In this regard, in this embodiment, if a new energy storage unit is added to the energy storage system, the server obtains information about the voltage change with the amount of electricity in the new energy storage unit during charging; based on the information about the voltage change with the amount of electricity, the server determines the type of battery cells used by the new energy storage unit.

[0091] It can be understood that the voltage of lithium iron phosphate batteries hardly changes in the SOC range of 30%-90%, with a smaller slope, while the voltage of ternary lithium batteries changes significantly in the SOC range of 30%-90%, with a larger slope.

[0092] Among them, since the type of battery cell used by the new energy storage unit is unknown at this time, in order to avoid overcharging and over-discharging, the charging and discharging process of the new energy storage unit is limited by a safe voltage range, which is the intersection of the two voltage ranges, that is, the safe voltage range is [2.7V, 3.65V], thereby ensuring the safety of the new energy storage unit.

[0093] Based on the same inventive concept as the battery health status estimation method provided in this embodiment, this embodiment also provides a battery health status estimation device, which includes at least one software function module that can be stored in a memory or fixed in an electronic device in the form of software. The processor in the electronic device is used to execute the executable module stored in the memory. For example, the software function module and computer program included in the device. Please refer to Figure 6 , functionally speaking, the device may include:

[0094] The unit monitoring module 21 is used to obtain the SOH values ​​of multiple energy storage units in the energy storage system;

[0095] A global monitoring module 22, configured to obtain a first global SOH value of the energy storage system according to the SOH values ​​of the plurality of energy storage units, wherein the first global SOH value represents the SOH value of the entire energy storage system;

[0096] The global monitoring module 22 is further used to obtain a second global SOH value of the energy storage system, wherein the second global SOH value is calculated by total charge and discharge data of multiple energy storage units;

[0097] The comprehensive evaluation module 23 is used to obtain a target SOH value of the energy storage system according to the first global SOH value and the second global SOH value.

[0098] In this embodiment, the unit monitoring module 21 is used to implement Figure 1 In step S1, the global monitoring module 22 is used to implement Figure 1 In steps S2 and S3, the comprehensive evaluation module 23 is used to implement Figure 1 Therefore, for the detailed description of each of the above modules, please refer to the specific implementation of the corresponding step. In addition, it should be noted that since the invention concept is the same as that of the battery health state estimation method, the battery health state estimation device can also implement other or sub-steps of the method through the above modules. For example:

[0099] Optionally, the global monitoring module 22 is further specifically configured to:

[0100] Identify a maximum SOH value and a minimum SOH value from the SOH values ​​of the plurality of energy storage units;

[0101] The maximum SOH value and the minimum SOH value are weightedly summed to obtain a first global SOH value.

[0102] Optionally, the global monitoring module 22 is further specifically configured to:

[0103] Obtaining a first difference between an upper limit of the SOH safety range and a maximum SOH value, and a second difference between a minimum SOH value and a lower limit of the SOH safety range;

[0104] The first difference and the second difference are summed to obtain a weight reference value;

[0105] The ratio between the first difference and the weight reference value is used as the weight of the minimum SOH value, and the ratio between the second difference and the weight reference value is used as the weight of the maximum SOH value;

[0106] A weighted sum is performed according to the respective weights of the maximum SOH value and the minimum SOH value to obtain a first global SOH value.

[0107] Optionally, the global monitoring module 22 is further used for:

[0108] Determine whether the maximum SOH value and the minimum SOH value are both within the SOH safety range;

[0109] If both are within the SOH safety range, a weighted sum of the maximum SOH value and the minimum SOH value is performed to obtain a first global SOH value.

[0110] Optionally, the global monitoring module 22 is further used for:

[0111] If not all are within the SOH safety range, determine whether the maximum SOH value is greater than or equal to the upper limit of the SOH safety range, and the minimum SOH value is greater than the lower limit of the SOH safety range;

[0112] If yes, the upper limit of the SOH safety range is used as the first global SOH value;

[0113] If not, the lower limit of the SOH safety range is used as the first global SOH value.

[0114] Optionally, the unit monitoring module 21 is further specifically used for:

[0115] For each energy storage unit, control the energy storage unit and the load to form an independent closed loop;

[0116] Obtain charging and discharging data after the energy storage unit and the load form an independent closed loop;

[0117] According to the charge and discharge data, the SOH value of the energy storage unit is obtained.

[0118] Optionally, the unit monitoring module 21 is further specifically used for:

[0119] If a new energy storage unit is added to the energy storage system, information about the voltage change of the new energy storage unit with the amount of electricity during the charging process is obtained;

[0120] Based on the information about how voltage changes with charge, the type of battery cell used in the new energy storage unit is determined.

[0121] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0122] It should also be understood that if the above implementation is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0123] Therefore, this embodiment also provides a storage medium, which is a computer-readable storage medium. The storage medium stores a computer program, and when the computer program is executed by a processor, the battery health state estimation method provided in this embodiment is implemented. Among them, the storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, etc., which can store program codes.

[0124] This embodiment provides an electronic device for implementing a method for estimating the health status of a battery. Figure 7 As shown, the electronic device may include a processor 32 and a memory 31. In addition, the memory 31 stores a computer program, and the processor implements the battery health status estimation method provided in this embodiment by reading and executing the computer program corresponding to the above implementation in the memory 31.

[0125] Continue to see Figure 7 The electronic device further includes a communication unit 33. The memory 31, the processor 32 and the communication unit 33 are electrically connected to each other directly or indirectly through a system bus 34 to achieve data transmission or interaction.

[0126] The memory 31 may be an information recording device based on any electronic, magnetic, optical or other physical principle, used to record execution instructions, data, etc. In some embodiments, the memory 31 may be, but is not limited to, a volatile memory, a non-volatile memory, a storage drive, etc.

[0127] In some embodiments, the volatile memory may be a random access memory (RAM); in some embodiments, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), a flash memory, etc.; in some embodiments, the storage drive may be a disk drive, a solid-state drive, any type of storage disk (such as a CD, a DVD, etc.), or a similar storage medium, or a combination thereof, etc.

[0128] The communication unit 33 is used to send and receive data through a network. In some embodiments, the network may include a wired network, a wireless network, a fiber optic network, a telecommunication network, an intranet, the Internet, a local area network (LAN), a wide area network (WAN), a wireless local area network (WLAN), a metropolitan area network (MAN), a wide area network (WAN), a public switched telephone network (PSTN), a Bluetooth network, a ZigBee network, or a near field communication (NFC) network, or any combination thereof. In some embodiments, the network may include one or more network access points. For example, the network may include a wired or wireless network access point, such as a base station and / or a network switching node, and one or more components of the service request processing system may be connected to the network through the access point to exchange data and / or information.

[0129] The processor 32 may be an integrated circuit chip with signal processing capability, and the processor may include one or more processing cores (e.g., a single-core processor or a multi-core processor). By way of example only, the processor may include a central processing unit (CPU), an application specific integrated circuit (ASIC), an application specific instruction set processor (ASIP), a graphics processing unit (GPU), a physical processing unit (PPU), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic device (PLD), a controller, a microcontroller unit, a reduced instruction set computer (RISC), or a microprocessor, or any combination thereof.

[0130] Understandably, Figure 7 The structure shown is for illustration only. The electronic device may also have Figure 7 More or fewer components than shown, or with Figure 7 Different configurations are shown. Figure 7 The components shown may be implemented in hardware, software or a combination thereof.

[0131] It should be understood that the apparatus and method disclosed in the above-mentioned embodiments can also be implemented in other ways. The apparatus embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the apparatus, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0132] The above are only various implementations of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for estimating the health status of a battery, characterized in that: The method comprises: Obtaining SOH values ​​of multiple energy storage units in the energy storage system; Identifying a maximum SOH value and a minimum SOH value from the SOH values ​​of the plurality of energy storage units; Obtaining a first difference between an upper limit of a SOH safety range and the maximum SOH value, and a second difference between the minimum SOH value and a lower limit of the SOH safety range; summing the first difference and the second difference to obtain a weight reference value; Using the ratio between the first difference and the weight reference value as the weight of the minimum SOH value, and using the ratio between the second difference and the weight reference value as the weight of the maximum SOH value; Performing a weighted sum according to the respective weights of the maximum SOH value and the minimum SOH value to obtain a first global SOH value, wherein the first global SOH value represents the SOH value of the entire energy storage system; Acquire a second global SOH value of the energy storage system, wherein the second global SOH value is calculated by total charge and discharge data of the plurality of energy storage units; A target SOH value of the energy storage system is obtained according to the first global SOH value and the second global SOH value.

2. The method for estimating the health status of a battery according to claim 1, characterized in that: The method further comprises: Determine whether the maximum SOH value and the minimum SOH value are both within the SOH safety range; If both are within the SOH safety range, weighted summing of the maximum SOH value and the minimum SOH value is performed to obtain the first global SOH value.

3. The method for estimating the health status of a battery according to claim 2, characterized in that: The method further comprises: If not all are within the SOH safety range, determine whether the maximum SOH value is greater than or equal to the upper limit of the SOH safety range, and the minimum SOH value is greater than the lower limit of the SOH safety range; If yes, taking the upper limit of the SOH safety range as the first global SOH value; If not, the lower limit of the SOH safety range is used as the first global SOH value.

4. The method for estimating the health status of a battery according to claim 1, characterized in that: Obtain the SOH values ​​of multiple energy storage units in the energy storage system, including: For each of the energy storage units, controlling the energy storage unit and the load to form an independent closed loop; Acquiring charging and discharging data after the energy storage unit and the load form an independent closed loop; The SOH value of the energy storage unit is obtained according to the charge and discharge data.

5. The method for estimating the health status of a battery according to claim 1, characterized in that: The method further comprises: If a new energy storage unit is added to the energy storage system, information about the change in voltage of the new energy storage unit with the amount of electricity during the charging process is obtained; The type of battery cell used in the new energy storage unit is determined based on the information about the voltage changing with the amount of electricity.

6. A battery health status estimation device, characterized in that: The device comprises: A unit monitoring module is used to obtain the SOH values ​​of multiple energy storage units in the energy storage system; A global monitoring module, used to identify a maximum SOH value and a minimum SOH value from the SOH values ​​of the multiple energy storage units; obtain a first difference between the upper limit of the SOH safety range and the maximum SOH value, and a second difference between the minimum SOH value and the lower limit of the SOH safety range; sum the first difference and the second difference to obtain a weight reference value; use the ratio between the first difference and the weight reference value as the weight of the minimum SOH value, and use the ratio between the second difference and the weight reference value as the weight of the maximum SOH value; perform weighted summation according to the respective weights of the maximum SOH value and the minimum SOH value to obtain a first global SOH value, wherein the first global SOH value represents the SOH value of the entire energy storage system; The global monitoring module is further used to obtain a second global SOH value of the energy storage system, wherein the second global SOH value is calculated by total charge and discharge data of the multiple energy storage units; A comprehensive evaluation module is used to obtain a target SOH value of the energy storage system according to the first global SOH value and the second global SOH value.

7. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method for estimating the health status of a battery according to any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for estimating the health status of a battery according to any one of claims 1 to 5 is implemented.

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