Estimation method, estimation device, equipment, system, processor and medium

By selecting an appropriate battery capacity estimation calculation method based on battery status information, estimating the remaining maximum capacity of the rechargeable battery is solved, and the problem of inaccurate estimation in the prior art is improved, and the reliability of the battery health status and vehicle safety are improved.

CN119846491APending Publication Date: 2025-04-18CHONGQING FUDI BATTERY RES INST CO LTD
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Patent Information

Application Number
CN202311848674.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-28
Publication Date
2025-04-18

AI Technical Summary

Technical Problem

The prior art is difficult to accurately estimate the remaining maximum capacity of a rechargeable battery, resulting in an increase in the risk of battery failure and affecting vehicle safety.

Method used

By determining the target battery capacity estimation calculation method from a plurality of preset battery capacity estimation calculation methods based on the battery status information, the remaining maximum capacity of the battery is estimated from a plurality of preset battery capacity estimation calculation methods, and combining the status information and the target battery capacity estimation calculation method.

Benefits of technology

It improves the credibility of the estimation of the remaining maximum capacity of the battery, ensures a reliable estimate of the battery health status, and reduces battery failure and vehicle safety risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a method for estimating the maximum residual capacity of a battery, and the method comprises the steps: determining a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to the state information of the battery, and estimating the maximum residual capacity of the battery according to the target battery capacity estimation algorithm and the state information. Thus, the target battery capacity estimation algorithm in the multiple algorithms can be determined according to the state information of the battery, the residual maximum capacity of the battery is estimated according to the state information and the target battery capacity estimation algorithm, and the residual maximum capacity is reliably estimated. According to the method, the target battery capacity estimation algorithm is determined based on multiple algorithms, the estimation of the residual maximum capacity can be completed by combining the characteristics of various algorithms, and the situation that the credibility of an estimation result is low when a single algorithm is adopted for estimation is avoided. According to the method and the device, the health state of the battery can be estimated based on the residual maximum capacity estimation result with relatively high credibility, so that the credibility of the health state is ensured.
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Description

Technical Field

[0001] The present application relates to the field of batteries, and in particular to a maximum capacity estimation method, a health status estimation method, a maximum capacity estimation device, a health status estimation device, an electric device, an energy storage system, a battery management system, a processor, and a computer-readable storage medium. Background Art

[0002] With the functional upgrade of new energy vehicles, rechargeable batteries such as aluminum hydrogen sulfate batteries with advantages such as light weight, high energy density, good performance and long service life are widely used in new energy vehicles. However, after repeated charging and discharging of the rechargeable battery, the remaining maximum capacity of the rechargeable battery decreases, and the risk of failure of the rechargeable battery will continue to increase, causing the probability of related vehicle accidents to increase, which may endanger the safety of the vehicle and the users in the vehicle. Therefore, how to accurately estimate the remaining maximum capacity of the rechargeable battery is of great significance to the safety of the rechargeable battery, the vehicle and the users in the vehicle. Summary of the invention

[0003] The present application provides a method for estimating the remaining maximum capacity of a battery, a method for estimating the health status, a device for estimating the remaining maximum capacity of a battery, a device for estimating the health status, an electric device, an energy storage system, a battery management system, a processor, and a computer-readable storage medium.

[0004] The present application provides a method for estimating the remaining maximum capacity of a battery, comprising:

[0005] determining a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to the battery status information;

[0006] The remaining maximum capacity of the battery is estimated based on the state information and the target battery capacity estimation algorithm.

[0007] In the method for estimating the remaining maximum capacity of a battery provided in the embodiment of the present application, a target battery capacity estimation algorithm can be determined from multiple preset battery capacity estimation algorithms based on the battery status information, and the remaining maximum capacity of the battery can be estimated based on the target battery capacity estimation algorithm and the status information.

[0008] In this way, the embodiments of the present application can determine the target battery capacity estimation algorithm among multiple preset battery capacity estimation algorithms based on the battery status information, thereby completing the estimation of the remaining maximum capacity of the battery based on the status information and the target battery capacity estimation algorithm, so that the credibility of the estimated remaining maximum capacity can be guaranteed to a certain extent. The embodiments of the present application determine the target battery capacity estimation algorithm based on multiple preset battery capacity estimation algorithms, so the estimation of the remaining maximum capacity of the battery can be completed to a certain extent in combination with the characteristics or adaptability of the preset battery capacity estimation algorithm, thereby avoiding to a certain extent the situation where the credibility of the estimation result is low when a single algorithm is used to estimate the remaining maximum capacity of the battery. In addition, the embodiments of the present application can be based on the estimation result of the remaining maximum capacity of the battery with higher credibility when estimating the health status of the battery, thereby ensuring a reliable estimation of the health status.

[0009] In certain embodiments of the present application, the target battery capacity estimation algorithm includes at least one preset battery capacity estimation algorithm, and the estimating the remaining maximum capacity of the battery according to the state information and the target battery capacity estimation algorithm includes:

[0010] determining at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm;

[0011] The remaining maximum capacity is determined according to the at least one reference capacity.

[0012] In this way, the implementation mode of the present application can obtain the reference capacity corresponding to each preset battery capacity estimation algorithm according to the status information and each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and estimate or determine the remaining maximum capacity of the battery according to each reference capacity, thereby, the credibility of the estimated remaining maximum capacity of the battery can be guaranteed to a certain extent.

[0013] In some implementations of the present application, determining the remaining maximum capacity according to the at least one reference capacity includes:

[0014] The remaining maximum capacity of the battery is determined according to the reference capacity corresponding to each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm and the preset weight corresponding to each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm.

[0015] In this way, the implementation mode of the present application enables the remaining maximum capacity of the battery to be determined based on the reference capacity corresponding to each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm, and the preset weight corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, thereby ensuring a reliable estimation of the maximum capacity to a certain extent.

[0016] In certain embodiments of the present application, the at least one reference capacity includes a first reference capacity, the state information includes power throughput information and historical power used information, and the determining of at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes:

[0017] When the power type of the electric device corresponding to the battery is the first type, the first reference capacity is determined according to the power throughput information and the historical used power information.

[0018] In this way, the implementation mode of the present application can determine the first reference capacity according to the acquired power throughput information and the historical power used information in the state, thereby ensuring the reliable acquisition of the first reference capacity to a certain extent.

[0019] In certain embodiments of the present application, the at least one reference capacity includes a first reference capacity, the state information includes historical mileage information and historical used electric energy information, and the determining of at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes:

[0020] When the power type of the electric device corresponding to the battery is the second type, the first reference capacity is determined according to the historical mileage information and the historical used electric energy information.

[0021] In this way, the implementation method of the present application makes it possible to determine the first reference capacity based on the historical mileage information and the historical used electric energy information, thereby ensuring the reliable acquisition of the first reference capacity to a certain extent.

[0022] In certain embodiments of the present application, the state information includes charging current information and charging duration information, the at least one reference capacity includes a second reference capacity, and the determining of at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes:

[0023] When the state information satisfies a first preset condition, the second reference capacity is determined according to the charging current information and the charging duration information.

[0024] In this way, the implementation manner of the present application can complete the estimation of the remaining maximum capacity of the battery through the second reference capacity when the state information meets the first preset condition, thereby ensuring the estimation of the remaining maximum capacity of the battery to a certain extent.

[0025] In certain embodiments of the present application, when the state information satisfies a first preset condition, determining the second reference capacity according to the charging current information and the charging duration information includes:

[0026] When the highest discharge depth during the last charging process of the battery is greater than or equal to a first preset discharge depth, and the power of the battery increases from an initial power value corresponding to the first preset discharge depth to a preset power value, the second reference capacity is determined according to the initial power value, the charging current information and the charging duration information.

[0027] In this way, the implementation mode of the present application can determine the second reference capacity by using the initial power value, the charging current information and the charging time information in the last charging process when the highest discharge depth in the last charging process of the battery is greater than or equal to the first preset discharge depth and the power of the battery increases from the initial power value corresponding to the first preset discharge depth to the preset power value, thereby ensuring the reliable determination of the second reference capacity to a certain extent.

[0028] In certain embodiments of the present application, when the highest discharge depth in the last charging process of the battery is greater than or equal to a first preset discharge depth, and the power of the battery increases from an initial power value corresponding to the first preset discharge depth to a preset power value, determining the second reference capacity according to the initial power value, the charging current information, and the charging duration information includes:

[0029] When the maximum discharge depth is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value to the preset power value, the second reference capacity is determined according to the initial power value and the charging time and charging current for the battery power to increase from the initial power value to the preset power value.

[0030] In this way, the implementation mode of the present application can determine the charge amount of the battery in the last charging process according to the charging current information and charging time information of the battery in the last charging process, and can complete the determination of the second reference capacity according to the initial power value of the battery in the last charging process. The credibility of the second reference capacity can be guaranteed to a certain extent.

[0031] In some embodiments of the present application, the at least one reference capacity includes a first reference capacity and a second reference capacity, and determining the remaining maximum capacity according to the at least one reference capacity includes:

[0032] The remaining maximum capacity is determined according to a worse reference capacity between the first reference capacity and the second reference capacity.

[0033] In this way, the implementation manner of the present application can use the worse reference capacity of the first reference capacity and the second reference capacity to complete the estimation of the maximum capacity of the battery when the first reference capacity and the second reference capacity are obtained, thereby ensuring the credibility of the maximum capacity to a certain extent.

[0034] In certain embodiments of the present application, the at least one reference capacity includes a third reference capacity, the state information includes static voltage information, charging duration information, and charging current information, and determining at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes:

[0035] When the state information satisfies the second preset condition, the third reference capacity is determined according to the static voltage information, the charging duration information and the charging current information in the state information.

[0036] In this way, the implementation method of the present application can determine the corresponding third reference capacity based on the static voltage information, the charging time information and the charging current information when the state information meets the second preset condition, so that the estimation of the maximum capacity can be completed based on the third reference capacity, which ensures the reliable determination of the maximum capacity to a certain extent.

[0037] In certain embodiments of the present application, when the state information satisfies the second preset condition, determining the third reference capacity according to the static voltage information, the charging duration information, and the charging current information in the state information includes:

[0038] When the highest discharge depth of the battery in the last charging process is greater than or equal to a second preset discharge depth and the power of the battery increases to a preset power value, the third reference capacity is determined according to the static voltage information, the charging time information and the charging current information.

[0039] In this way, the implementation mode of the present application can determine, based on the battery status information, that the maximum discharge depth of the battery in the last charging process is greater than or equal to the second preset discharge depth, and the capacity of the battery is increased to the preset power value. Then, the third reference capacity can be determined according to the minimum value information of the static voltage, the charging time information, and the charging duration information in the last charging process, so that the determination of the third reference capacity can be reliably executed.

[0040] In certain embodiments of the present application, the static voltage information includes a minimum static voltage value, and when the state information satisfies a second preset condition, determining the third reference capacity according to the static voltage information, the charging duration information, and the charging current information in the state information includes:

[0041] When the maximum discharge depth is greater than or equal to the second preset discharge depth and the battery power increases to the preset power value, the initial capacity value is determined according to the lowest static voltage value of the battery during the last charging process, and the third reference capacity is determined according to the initial capacity value, the charging duration information and the charging current information.

[0042] In some embodiments of the present application, the at least one reference capacity includes a first reference capacity, a second reference capacity, and a third reference capacity, and determining the remaining maximum capacity according to the at least one reference capacity includes:

[0043] The remaining maximum capacity is determined according to a reference capacity among the first reference capacity, the second reference capacity, and the third reference capacity that is less than the first reference capacity.

[0044] In this way, the implementation mode of the present application can determine the starting capacity value of the battery according to the minimum value of the static voltage, and can also determine the amount of power required to charge the battery from the starting capacity value to a preset power value according to the charging time information and the charging current information, and then estimate the determination of the third reference capacity, thereby ensuring the credibility of the third reference capacity to a certain extent.

[0045] The present application embodiment provides a method for estimating health status, including:

[0046] Obtaining the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined according to the above maximum capacity estimation method;

[0047] A health state of the battery is estimated based on the remaining maximum capacity.

[0048] Thus, in the implementation mode of the present application, the target battery capacity estimation algorithm among a plurality of preset battery capacity estimation algorithms can be determined according to the battery status information, thereby completing the estimation of the remaining maximum capacity of the battery according to the status information and the target battery capacity estimation algorithm, so that the credibility of the estimated remaining maximum capacity can be guaranteed to a certain extent. The implementation mode of the present application determines the target battery capacity estimation algorithm based on a plurality of preset battery capacity estimation algorithms, so the estimation of the remaining maximum capacity of the battery can be completed to a certain extent in combination with the characteristics or adaptability of the preset battery capacity estimation algorithm, thereby avoiding to a certain extent the situation in which the credibility of the estimation result is low when a single algorithm is used to estimate the remaining maximum capacity of the battery. In addition, the implementation mode of the present application can be based on the estimation result of the remaining maximum capacity of the battery with higher credibility when estimating the health status of the battery, thereby ensuring a reliable estimation of the health status.

[0049] The present application provides a device for estimating the remaining maximum capacity of a battery, comprising:

[0050] A determination module, configured to determine a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to the battery status information;

[0051] A capacity estimation module is used to estimate the remaining maximum capacity of the battery according to the state information and the target battery capacity estimation algorithm.

[0052] The present application provides a device for estimating a health status, including:

[0053] An acquisition module, used for acquiring the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined by the above-mentioned maximum capacity estimation method;

[0054] A state estimation module is used to estimate the health state of the battery according to the remaining maximum capacity.

[0055] An embodiment of the present application provides an electric device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the above-mentioned maximum capacity estimation method or health status estimation method is implemented.

[0056] An embodiment of the present application provides an energy storage system, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the above-mentioned maximum capacity estimation method or health status estimation method is implemented.

[0057] An embodiment of the present application provides a battery management system, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for estimating the remaining maximum capacity or the method for estimating the health status of the above-mentioned battery is implemented.

[0058] An embodiment of the present application provides a processor for implementing the above-mentioned method for estimating the remaining maximum capacity or the method for estimating the health status of the battery.

[0059] An embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by one or more processors, the above-mentioned maximum capacity estimation method or health status estimation method is implemented.

[0060] The device for estimating the remaining maximum capacity of a battery, the device for estimating the health status, the electric device, the energy storage system, the battery management system, the processor and the computer-readable storage medium provided in the embodiments of the present application can determine the target battery capacity estimation algorithm among a plurality of preset battery capacity estimation algorithms according to the battery status information, thereby completing the estimation of the remaining maximum capacity of the battery according to the status information and the target battery capacity estimation algorithm, so that the credibility of the estimated remaining maximum capacity can be guaranteed to a certain extent. The embodiments of the present application determine the target battery capacity estimation algorithm based on a plurality of preset battery capacity estimation algorithms, so the estimation of the remaining maximum capacity of the battery can be completed to a certain extent in combination with the characteristics or adaptability of the preset battery capacity estimation algorithm, thereby avoiding to a certain extent the situation in which the credibility of the estimation result is low when a single algorithm is used to estimate the remaining maximum capacity of the battery. In addition, the embodiments of the present application can be based on the estimation result of the remaining maximum capacity of the battery with higher credibility when estimating the health status of the battery, thereby ensuring a reliable estimation of the health status.

[0061] Additional aspects and advantages of the embodiments of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0063] Figure 1 A schematic diagram of a flow chart of a method for estimating the remaining maximum capacity of a battery in certain embodiments of the present application;

[0064] Figure 2 A schematic diagram of a device for estimating the remaining maximum capacity of a battery in certain embodiments of the present application;

[0065] Figure 3 A schematic diagram of a flow chart of a method for estimating the remaining maximum capacity of a battery in certain embodiments of the present application;

[0066] Figure 4 A schematic diagram of battery discharge characteristics in certain embodiments of the present application;

[0067] Figure 5 A schematic diagram of a flow chart of a method for estimating the remaining maximum capacity of a battery in certain embodiments of the present application;

[0068] Figure 6 A schematic diagram of a flow chart of a method for estimating the remaining maximum capacity of a battery in certain embodiments of the present application;

[0069] Figure 7 A flowchart of a method for estimating health status in certain embodiments of the present application;

[0070] Figure 8 This is a schematic diagram of a device for estimating health status in certain embodiments of the present application. DETAILED DESCRIPTION

[0071] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the embodiments of the present application, and cannot be understood as limiting the embodiments of the present application.

[0072] In order to meet the design of new energy industries such as new energy vehicles, lithium batteries with the advantages of repeated charging, high energy density, good performance and long life have been widely used in various new energy industries.

[0073] However, after repeated charging of lithium batteries, the maximum capacity and state of health (SOH) of lithium batteries may decrease. The decrease in health status may be reflected by increased impedance, decreased maximum capacity and other phenomena. If the decrease in health status is large, it is easy to cause battery failure, and even cause corresponding safety problems in electrical equipment equipped with batteries, energy storage systems composed of battery cells and others.

[0074] Based on this, since the health status of the battery and the maximum capacity of the battery have a certain relationship, in order to accurately determine or estimate the health status of the battery, the health status of the battery can be indirectly estimated by calculating the maximum capacity of the battery. The capacity calculation of the battery can be completed by the ampere-hour integration method and the life calendar method. Among them, the ampere-hour integration method requires the battery to be charged with a lower power (such as a discharge depth greater than 70%), from a fixed power or a current with a fixed rate of change until it is fully charged. However, the battery usage habits of some users are to "maintain a high power level of the electrical equipment (installed with a rechargeable lithium battery) for a long time", such as keeping a laptop in a charging state for a long time, so the capacity and health status of the battery in this case are difficult to estimate.

[0075] On the other hand, the life calendar method is based on the correspondence between the battery capacity and various battery parameters under ideal working conditions, such as the correspondence between the number of times the battery is fully charged and discharged and the battery capacity. Based on the collected or determined battery parameters (such as the number of times the battery is fully charged and discharged), the battery capacity is correspondingly determined. However, it is understandable that there is a certain deviation between the actual working state of the battery and the ideal working state, so the life calendar method can also accurately estimate the capacity and health status of the battery.

[0076] Based on the above problems you may encounter, please refer to Figure 1 , the present application embodiment provides a method for estimating the remaining maximum capacity of a battery, comprising:

[0077] 01: Determine a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to battery status information;

[0078] 02: Estimate the remaining maximum capacity of the battery based on the status information and the target battery capacity estimation algorithm.

[0079] See also Figure 2 , an embodiment of the present application provides a device 200 for estimating the remaining maximum capacity of a battery. The method for estimating the remaining maximum capacity of a battery of the embodiment of the present application can be implemented by the device 200 for estimating the remaining maximum capacity of a battery of the embodiment of the present application. Specifically, the maximum capacity estimation device 200 includes a determination module 210 and a capacity estimation module 220. The determination module 210 is used to determine a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to the status information of the battery. The capacity estimation module 230 is used to estimate the remaining maximum capacity of the battery according to the status information and the target battery capacity estimation algorithm.

[0080] The embodiment of the present application also provides an electric device, which includes a memory and a processor. The capacity estimation method of the embodiment of the present application can be implemented by the electric device of the embodiment of the present application. Specifically, a computer program is stored in the memory, and the processor is used to determine a target battery capacity estimation algorithm from multiple preset battery capacity estimation algorithms according to the status information of the battery; and estimate the remaining maximum capacity of the battery according to the status information and the target battery capacity estimation algorithm.

[0081] The embodiment of the present application also provides an energy storage system, which includes a memory and a processor. The capacity estimation method of the embodiment of the present application can be implemented by the energy storage system of the embodiment of the present application. Specifically, a computer program is stored in the memory, and the processor is used to determine a target battery capacity estimation algorithm from multiple preset battery capacity estimation algorithms based on the status information of the battery; and estimate the remaining maximum capacity of the battery based on the status information and the target battery capacity estimation algorithm.

[0082] It should be noted that the battery disclosed in the embodiments of the present application can be used in electric devices that use the battery as a power source or various energy storage systems that use the battery as an energy storage element. The electric device can be, but is not limited to, a mobile phone, a tablet, a laptop, an electric toy, an electric tool, a battery car, an electric car, a ship, a spacecraft, a charging cabinet, and the like. Among them, the electric toy can include a fixed or mobile electric toy, for example, a game console, an electric car toy, an electric ship toy, and an electric airplane toy, and the like, and the spacecraft can include an airplane, a rocket, a space shuttle, and a spacecraft, and the like.

[0083] That is, the electric device and energy storage device of the embodiments of the present application can, when collecting or determining the status information of the battery, such as obtaining the number of charge and discharge times of the battery, select one or more preset battery capacity estimation algorithms as the target battery capacity estimation algorithm for estimating the remaining maximum capacity of the battery based on the status information and a plurality of preset battery capacity estimation algorithms determined or preset in advance, or combine one or more preset battery capacity estimation algorithms as the target battery capacity estimation algorithm for estimating the remaining maximum capacity of the battery, and then use the battery status information as the input parameter of the target battery capacity estimation algorithm, and use the output result of the target battery capacity estimation algorithm as the estimated value of the remaining maximum capacity.

[0084] It should be noted that the maximum capacity of a battery can be understood as a pre-calibrated fixed value. When the battery is worn out due to use, the power of the battery when fully charged may not reach the maximum power, or in other words, the power of the battery when the state of charge (SOC) is 100% may not reach the pre-calibrated maximum power.

[0085] For example, suppose that the maximum capacity of the battery is measured before the battery leaves the factory or before the battery is used. std , and when the battery is worn out due to use, the battery is charged so that the battery's state of charge is 100% when the power is C new , then it can be understood that C new Less than or equal to C std Among them, C new It can be understood that the remaining maximum capacity to be estimated in the implementation manner of the present application can represent the power when the state of charge of the battery is 100%.

[0086] Also, it is understandable that the remaining maximum capacity cannot usually be directly detected or read, so the embodiments of the present application obtain the remaining maximum capacity based on estimation.

[0087] It should be noted that the status information in the embodiments of the present application can be understood as various parameters that characterize the charging and discharging conditions of the battery in a long and / or short period of time, including but not limited to the battery power throughput, the battery's historical power usage, and the above-mentioned charging and discharging times.

[0088] Furthermore, the method for obtaining the status information in the embodiments of the present application can be set according to the actual situation. For example, in some embodiments where a battery management system (BMS) is installed in the electric device or energy storage system, the battery status information can be collected and stored by the battery management system.

[0089] It should also be noted that the multiple preset battery capacity estimation algorithms in the embodiments of the present application can be set according to actual conditions. For example, in some embodiments, the multiple preset battery capacity estimation algorithms include but are not limited to the above-mentioned life calendar method and the above-mentioned ampere-hour integration method.

[0090] And, the specific method of determining the target battery capacity estimation algorithm based on the state information and multiple preset battery capacity estimation algorithms is a content that can be set according to the actual situation. For example, in the case where multiple preset battery capacity estimation algorithms include the above-mentioned life calendar method and the above-mentioned ampere-hour integration method, if it is determined based on the collected battery information that the battery power is higher than the preset power (such as 80%) for a long time (such as 3 months), then because the battery charging process is not obvious or clear, the ampere-hour integration method is difficult to be reliably used to estimate the battery capacity. Therefore, the implementation method of the present application can use the life calendar method to estimate the remaining maximum capacity of the battery, that is, the life calendar method is determined as the target battery capacity estimation algorithm.

[0091] Furthermore, it can be understood that the specific method of estimating the remaining maximum capacity according to the target battery capacity estimation algorithm and the state information is a content that can be set according to the actual situation. For example, in the case where the target battery capacity estimation algorithm is a life calendar algorithm, according to the input parameters (predetermined parameters that have a linear relationship with the battery capacity) and output parameters (i.e., battery capacity) corresponding to the life calendar algorithm, the corresponding parameters are extracted from the state information as the input of the life calendar algorithm, and the output of the life calendar algorithm is used as the estimation of the remaining maximum capacity of the battery.

[0092] In summary, the implementation methods of the present application can determine the target battery capacity estimation algorithm among multiple preset battery capacity estimation algorithms based on the battery status information, thereby completing the estimation of the remaining maximum capacity of the battery based on the status information and the target battery capacity estimation algorithm, so that the credibility of the estimated remaining maximum capacity can be guaranteed to a certain extent. The implementation methods of the present application determine the target battery capacity estimation algorithm based on multiple preset battery capacity estimation algorithms, so the estimation of the remaining maximum capacity of the battery can be completed to a certain extent in combination with the characteristics or adaptability of the preset battery capacity estimation algorithm, thereby avoiding to a certain extent the situation where the credibility of the estimation result is low when a single algorithm is used to estimate the remaining maximum capacity of the battery. In addition, the implementation methods of the present application can be based on the estimation result of the remaining maximum capacity of the battery with higher credibility when estimating the health status of the battery, thereby ensuring a reliable estimation of the health status.

[0093] In certain embodiments of this application, please refer to Figure 3 The target battery capacity estimation algorithm includes at least one preset battery capacity estimation algorithm. Further, step 02 includes:

[0094] 020: Determine at least one reference capacity according to the state information and each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm;

[0095] 021: Determine a remaining maximum capacity based on at least one reference capacity.

[0096] The capacity estimation module of the implementation mode of the present application is also used to determine at least one reference capacity according to the state information and each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm; and determine the remaining maximum capacity according to the at least one reference capacity.

[0097] In the implementation manner of the present application, the processor of the electric device is also used to determine at least one reference capacity based on the state information and each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm; and determine the remaining maximum capacity based on the at least one reference capacity.

[0098] The processor of the energy storage system in the implementation manner of the present application is also used to determine at least one reference capacity based on the state information and each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm; and determine the remaining maximum capacity based on the at least one reference capacity.

[0099] That is, the electric device (or energy storage device) according to the embodiment of the present application can select one or more from a plurality of preset battery capacity estimation algorithms according to the state information as the above-mentioned target battery capacity estimation algorithm.

[0100] Furthermore, after determining a target battery capacity estimation algorithm constructed or combined by one or more preset battery capacity estimation algorithms, the implementation mode of the present application will extract corresponding numerical values ​​from the status information as the input of each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm based on the input parameters required by each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and then obtain the output of each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, that is, the reference capacity of each preset battery capacity estimation algorithm.

[0101] Exemplarily, when the target battery capacity estimation algorithm includes a preset battery capacity estimation algorithm composed of the above-mentioned life calendar method and ampere-hour integration method, the implementation mode of the present application can obtain the output of the life calendar method, that is, the reference capacity of the life calendar method, based on the life calendar method and the input parameters required by the life calendar method in the status information.

[0102] At the same time, the implementation method of the present application can also obtain the output of the life calendar method based on the ampere-hour integration method and the input parameters required by the ampere-hour integration method in the status information, that is, the reference capacity of the ampere-hour integration method.

[0103] Furthermore, after obtaining the reference capacity of each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, the implementation mode of the present application can determine or estimate the final remaining maximum capacity of the battery according to the obtained reference capacities.

[0104] It can be understood that the specific process of determining the remaining maximum capacity based on the reference capacity of each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm is a content that can be set according to actual conditions, or in other words, the specific process of determining the remaining maximum capacity based on at least one reference capacity is a content that can be set according to actual conditions.

[0105] For example, in some embodiments, the present application may use the average value of all reference capacities as the remaining maximum capacity. In other embodiments where "at least one reference capacity" includes three or more reference capacities, the present application may use the mode of all reference capacities as the remaining maximum capacity.

[0106] In this way, the implementation mode of the present application can obtain the reference capacity corresponding to each preset battery capacity estimation algorithm according to the status information and each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and estimate or determine the remaining maximum capacity of the battery according to each reference capacity, thereby, the credibility of the estimated remaining maximum capacity of the battery can be guaranteed to a certain extent.

[0107] In some embodiments of the present application, step 021 includes:

[0108] The remaining maximum capacity of the battery is determined according to the reference capacity corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm and the preset weight corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm.

[0109] The capacity estimation module of the embodiment of the present application is also used to determine the remaining maximum capacity of the battery based on the reference capacity corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and the preset weight corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm.

[0110] In the implementation manner of the present application, the processor of the electric equipment is also used to determine the remaining maximum capacity of the battery based on the reference capacity corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and the preset weight corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm.

[0111] In the implementation manner of the present application, the processor of the energy storage system is also used to determine the remaining maximum capacity of the battery based on the reference capacity corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and the preset weight corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm.

[0112] That is, the electric device (or energy storage device) of the embodiment of the present application can obtain the output results of each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, that is, the reference capacity corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and then combine the predetermined weights corresponding to each target battery capacity estimation algorithm to perform the corresponding weighted sum operation, thereby obtaining the final remaining maximum capacity.

[0113] Exemplarily, it is assumed that the target battery capacity estimation algorithm includes a preset battery capacity estimation algorithm A1, a preset battery capacity estimation algorithm A2, and a preset battery capacity estimation algorithm A3, the preset weight corresponding to A1 is W1, the preset weight corresponding to A2 is W2, the preset weight corresponding to A3 is W3, the reference capacity corresponding to A1 is C1, the reference capacity corresponding to A2 is C2, the reference capacity corresponding to A3 is C3, and the remaining maximum capacity of the battery is C F, then:

[0114] C F =C1*W1+C2*W2+C3*W3

[0115] Furthermore, it can be understood that the specific setting method of the preset weights of different preset battery capacity estimation algorithms can be set according to actual conditions.

[0116] For example, the target battery capacity estimation algorithm includes the above-mentioned life calendar method and the above-mentioned ampere-hour integration method. It can be understood that the life calendar method is used to estimate the battery capacity or the remaining maximum capacity under ideal conditions, and the ampere-hour integration method is used to describe the battery capacity or the remaining maximum capacity under actual conditions. Therefore, the preset weight of the ampere-hour integration method can be higher than the weight of the life calendar method, so as to ensure the credibility of the remaining maximum capacity finally obtained.

[0117] In this way, the implementation mode of the present application enables the remaining maximum capacity of the battery to be determined based on the reference capacity corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, and the preset weight corresponding to each preset battery capacity estimation algorithm in the target battery capacity estimation algorithm, thereby ensuring a reliable estimation of the remaining maximum capacity to a certain extent.

[0118] In some embodiments of the present application, the at least one reference capacity includes a first reference capacity, the state information includes power throughput information and historical power used information, and step 020 includes:

[0119] When the power type of the electric device corresponding to the battery is the first type, a first reference capacity is determined according to the power throughput information and the historical used power information.

[0120] The capacity estimation module of the embodiment of the present application is also used to determine a first reference capacity according to the power throughput information and the historical used power information when the power type of the electric device corresponding to the battery is the first type.

[0121] In the implementation manner of the present application, the processor of the electric device is further used to determine a first reference capacity according to the power throughput information and the historical used power information when the power type of the electric device corresponding to the battery is the first type.

[0122] In the implementation manner of the present application, the processor of the energy storage system is further configured to determine a first reference capacity according to the power throughput information and the historical power used information when the power type of the electric device corresponding to the battery is the first type.

[0123] That is, the electric device or energy storage device of the implementation mode of the present application can obtain the corresponding reference capacity output, that is, value, based on the correspondence or mapping relationship between the reference capacity, power throughput information and historical power information used under ideal conditions, using the power throughput information and historical power information used in the acquired status information as keys.

[0124] It should be noted that the power type in the embodiments of the present application can be divided into electric hybrid type or pure electric type.

[0125] It should also be noted that the above-mentioned first type can be understood as a pure electric type.

[0126] It should also be understood that the power throughput information refers to the amount of electricity that has been charged and discharged since the battery was put into use (or after leaving the factory), or refers to the sum of the amount of electricity that has been charged and discharged since the battery was put into use. The historical used power information refers to the amount of electricity that has been used or discharged since it was put into use (or after leaving the factory).

[0127] It can be understood that the implementation mode of the present application is based on the correspondence between the predetermined (or obtained based on multiple experiments in advance) battery usage (i.e., power throughput information and historical power used information) and the reference capacity, to determine the value of the health status of the battery under ideal conditions after the battery has throughputd the power corresponding to the "power throughput information recorded in the status information" and has used the power corresponding to the "historical power used information recorded in the status information", that is, the first reference capacity.

[0128] It can also be understood that the first reference capacity describes the maximum remaining capacity under an ideal state (or an ideal working state), and therefore, the first reference capacity can represent the limit of the reference capacity. Therefore, when the reference capacity includes the first reference capacity, the second reference capacity, and the third reference capacity, the first reference capacity can be regarded as the upper limit of the maximum remaining capacity. If the second reference capacity or the third reference capacity exceeds the first reference capacity, the reference capacity exceeding the first reference capacity can be regarded as an invalid value due to the ideal situation described by the first reference capacity.

[0129] In this way, the implementation mode of the present application can determine the first reference capacity according to the acquired power throughput information and the historical power used information in the state, thereby ensuring the reliable acquisition of the first reference capacity to a certain extent.

[0130] In some embodiments of the present application, the at least one reference capacity includes a first reference capacity, the state information includes historical mileage information and historical used electric energy information, and step 020 includes:

[0131] When the power type of the electric device corresponding to the battery is the second type, the first reference capacity is determined according to the historical mileage information and the historical used electric energy information.

[0132] The capacity estimation module of the implementation mode of the present application is also used to determine the first reference capacity according to the historical mileage information and the historical used electric energy information when the power type of the electric device corresponding to the battery is the second type.

[0133] In the implementation manner of the present application, the processor of the electric device is further used to determine the first reference capacity according to the historical mileage information and the historical used electric energy information when the power type of the electric device corresponding to the battery is the second type.

[0134] In the implementation manner of the present application, the processor of the energy storage system is also used to determine the first reference capacity according to the historical mileage information and the historical used electric energy information when the power type of the electric device corresponding to the battery is the second type.

[0135] It is understandable that the historical mileage information can be understood as the distance the vehicle has traveled.

[0136] It is also understandable that the second type can be understood as a hybrid type.

[0137] It should also be noted that the implementation method of the present application is based on fitting the correspondence between the reference capacity, historical mileage information and historical electric energy used information (or called a mapping relationship) through multiple experiments, and then determining the first reference capacity based on the historical mileage information and historical electric energy used information actually obtained, that is, the historical mileage information and historical electric energy used information in the status information.

[0138] In this way, the implementation method of the present application makes it possible to determine the first reference capacity based on the historical mileage information and the historical used electric energy information, thereby ensuring the reliable acquisition of the first reference capacity to a certain extent.

[0139] In some embodiments of the present application, step 020 includes:

[0140] When the state information satisfies the first preset condition, the second reference capacity is determined according to the charging current information and the charging duration information.

[0141] The capacity estimation module of the implementation mode of the present application is also used to determine the second reference capacity according to the charging current information and the charging duration information when the state information meets the first preset condition.

[0142] In the implementation manner of the present application, the processor of the electric device is further configured to determine a second reference capacity according to the charging current information and the charging duration information when the state information satisfies a first preset condition.

[0143] In the implementation manner of the present application, the processor of the energy storage system is further configured to determine a second reference capacity according to the charging current information and the charging duration information when the state information satisfies a first preset condition.

[0144] That is, in the implementation mode of the present application, the electric device and the energy storage device can construct a target battery capacity estimation algorithm by using a preset battery capacity estimation algorithm for determining the second reference capacity when the state information satisfies the first preset condition, thereby making the second reference capacity included in the above-mentioned at least one reference capacity.

[0145] Furthermore, when it is determined that the state information meets the first preset condition, the second reference capacity can be determined based on the predetermined correspondence between the discharge depth information and the reference capacity and according to the discharge depth information, charging current information and charging time information in the state information actually obtained.

[0146] It should be understood that in the implementation mode of the present application, the second reference capacity can be determined through the status information by determining the correspondence between the battery discharge depth and the battery capacity based on multiple charge and discharge tests conducted in advance, and fitting the correspondence between the charging current and charging time and the battery capacity based on multiple charge and discharge tests.

[0147] It should also be understood that the first preset condition of the implementation mode of the present application is content that can be set according to actual conditions. For example, in some embodiments, the first preset condition refers to the battery's capacity being charged from a lower value (such as 60%) to a higher value (i.e., a value higher than 60%) during the most recent charging process.

[0148] In this way, the implementation manner of the present application can complete the estimation of the remaining maximum capacity of the battery through the second reference capacity when the state information meets the first preset condition, thereby ensuring the estimation of the remaining maximum capacity of the battery to a certain extent.

[0149] In certain embodiments of the present application, the step of determining the second reference capacity according to the charging current information and the charging duration information when the state information satisfies the first preset condition includes:

[0150] When the highest discharge depth during the last charging process of the battery is greater than or equal to the first preset discharge depth, and the battery power increases from the initial power value corresponding to the first preset discharge depth to the preset power value, the second reference capacity is determined according to the initial power value, the charging current information and the charging time information.

[0151] The capacity estimation module of the embodiment of the present application is also used to determine the second reference capacity according to the initial power value, charging current information and charging time information when the highest discharge depth during the last charging process of the battery is greater than or equal to the first preset discharge depth and the power of the battery increases from the initial power value corresponding to the first preset discharge depth to the preset power value.

[0152] The processor of the electric device in the implementation manner of the present application is also used to determine the second reference capacity according to the initial power value, charging current information and charging time information when the highest discharge depth during the last charging process of the battery is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value corresponding to the first preset discharge depth to the preset power value.

[0153] The processor of the energy storage system in the implementation manner of the present application is also used to determine the second reference capacity according to the initial power value, charging current information and charging time information when the highest discharge depth of the battery in the last charging process is greater than or equal to the first preset discharge depth and the power of the battery increases from the initial power value corresponding to the first preset discharge depth to the preset power value.

[0154] That is, the electric device and energy storage system of the implementation mode of the present application can determine based on the status information that the battery has been charged once (or, has completed a charging process), and determine based on the status information that before the last charging of the battery, the highest discharge depth of the battery is greater than or equal to the first preset discharge depth, and determine based on the status information that during the last charging process of the battery, the battery's power increased from an initial power value corresponding to the first preset discharge depth to a preset power value, thereby determining that the first preset condition is met, and then, based on the predetermined correspondence between the discharge depth and the reference capacity, combined with the charging current information and charging time information in the process of the power increasing from the above-mentioned initial power value to the above-mentioned preset power value, the second reference capacity is determined.

[0155] It is understandable that the last charging process of the battery can be understood as the process of connecting the battery to a charging power source or a charging current to fully charge the battery according to the charging current. Therefore, the preset power value in the implementation of the present application can be understood as the power that the battery maintains unchanged due to being fully charged, and can also be understood as the power when the state of charge (SOC) is 100%. In addition, the method for obtaining the preset power value can be determined by detecting the voltage on both sides of the battery.

[0156] It can also be understood that the maximum discharge depth during the charging process can be understood as the lowest value of the charge state during the battery charging process. At the same time, the initial power value corresponding to the maximum discharge depth can be understood as the power that has not been discharged from the battery before the battery charging process.

[0157] Furthermore, the first preset discharge depth in the embodiment of the present application can be set according to actual conditions. For example, in some embodiments, the first preset discharge depth is 40%.

[0158] It should be noted that the implementation mode of the present application can be based on the premise that the battery power increases from the initial power value corresponding to the first preset discharge depth to the preset power value, that is, it needs to be able to detect "the battery power increases from the initial power value corresponding to the first preset discharge depth to the preset power value" based on the battery status information.

[0159] Specifically, if the charging current of the battery is too large, it may happen that: the battery power is smaller than the initial power value at moment A, but at the next moment after moment A (set to moment B), the power at moment B is larger than the initial power value, that is, the two power values ​​detected before and after skip the initial power value, and then it becomes impossible to detect that the battery power starts to increase from the "initial power value corresponding to the first preset discharge depth".

[0160] For this reason, the battery in the implementation mode of the present application can be charged based on a charging current with a smaller current value to ensure that the battery's power can increase from the "initial power value corresponding to the first preset discharge depth" during the last charging process and increase to the preset power value.

[0161] Further, in some embodiments, when the battery is charged at a charging current of 0.1C, that is, when charged at a current of 10% of the battery capacity, it can be ensured to a certain extent that the status information records that the battery current increases from the above initial power value to the preset power value.

[0162] Furthermore, it should be noted that, after multiple experimental verifications, it was determined that the battery capacity corresponding to the "initial power value corresponding to the first preset discharge depth" can be a fixed value. Therefore, the implementation mode of the present application needs to detect the situation where the battery capacity changes to the "initial power value corresponding to the first preset discharge depth" to determine the corresponding power value (that is, the above-mentioned fixed value) according to the first preset discharge depth, and then determine the corresponding initial power value according to the first preset discharge depth, and combine the first charging current and charging time to obtain the total power charged to the battery from the initial power value to the preset power value, that is, the second reference capacity.

[0163] In this way, the implementation mode of the present application can determine the second reference capacity by using the initial power value, the charging current information and the charging time information in the last charging process when the highest discharge depth in the last charging process of the battery is greater than or equal to the first preset discharge depth and the power of the battery increases from the initial power value corresponding to the first preset discharge depth to the preset power value, thereby ensuring the reliable determination of the second reference capacity to a certain extent.

[0164] In certain embodiments of the present application, when the highest discharge depth in the last charging process of the battery is greater than or equal to the first preset discharge depth, and the power of the battery increases from the initial power value corresponding to the first preset discharge depth to the preset power value, the step of determining the second reference capacity according to the initial power value, the charging current information and the charging time information includes:

[0165] When the maximum discharge depth is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value to the preset power value, the second reference capacity is determined according to the initial power value, the charging current information, and the charging time and charging current for the battery power to increase from the initial power value to the preset power value.

[0166] The capacity estimation module of the implementation mode of the present application is also used to determine the second reference capacity according to the initial power value, charging current information, and the charging time and charging current for the battery power to increase from the initial power value to the preset power value when the maximum discharge depth is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value to the preset power value.

[0167] In the implementation manner of the present application, the processor of the electric device is also used to determine the second reference capacity based on the initial power value, charging current information, and the charging time and charging current for the battery power to increase from the initial power value to the preset power value when the maximum discharge depth is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value to the preset power value.

[0168] In the implementation manner of the present application, the processor of the energy storage system is also used to determine the second reference capacity according to the initial power value, charging current information, and the charging time and charging current for the battery power to increase from the initial power value to the preset power value when the maximum discharge depth is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value to the preset power value.

[0169] It should be noted that the implementation mode of the present application is based on prior knowledge and confirms that when the discharge depth of the battery is higher than the first preset discharge depth, so that the capacity changes significantly with the rate of change of the battery voltage, the battery capacity can be a fixed value (ie, "the initial charge value corresponding to the first preset discharge depth").

[0170] To more clearly explain the preset discharge depth in the embodiment of the present application, please refer to Figure 4 , Figure 4 Schematic diagram of battery discharge characteristics in certain embodiments of the present application. Figure 4As shown, when the battery is discharged at any one of the discharge currents of 0.5Cma, 0.2Cma and 1.0Cma, resulting in a continuous decrease in discharge capacity, the battery voltage also decreases accordingly. Also, when the battery voltage changes with the discharge capacity, it can be determined that when the discharge capacity is about 40%, the rate of change of the battery voltage (with the change of discharge capacity) changes significantly, or in other words, the rate of decrease of the battery voltage (with the decrease of discharge capacity) becomes significantly smaller. When the depth of discharge is about 70%, the rate of change of the battery voltage changes again significantly, or in other words, the rate of decrease of the battery voltage becomes significantly larger.

[0171] Furthermore, for a discharge depth within a range of 40% to 70%, the battery capacity may be determined to be a fixed value.

[0172] Therefore, in the implementation mode of the present application, when it is determined that the maximum discharge depth of the battery is greater than or equal to 40% based on the discharge depth of the battery in the most recent charging process, that is, when the maximum discharge depth is greater than or equal to the first preset discharge depth, the predetermined "battery capacity when the discharge depth is 40%" is determined as the initial power value, or in other words, the prior power value corresponding to the first preset discharge depth is determined as the initial power value.

[0173] And, according to the charging current information and charging duration information in the process of charging the battery power from the initial power value to the preset power value, the power charge-in value is calculated. Wherein, the charging duration information includes the charging time, and the charging current information includes the charging current size, then the power charge-in value can be obtained according to the integral of the charging current and the charging duration.

[0174] When the initial power value and the power charging value are obtained, the sum of the initial power value and the power charging value may be calculated to obtain the second reference capacity in the implementation manner of the present application.

[0175] In this way, the implementation mode of the present application can determine the charge amount of the battery in the last charging process according to the charging current information and charging time information of the battery in the last charging process, and can complete the determination of the second reference capacity according to the initial power value of the battery in the last charging process. The credibility of the second reference capacity can be guaranteed to a certain extent.

[0176] In addition, it can also be understood that the embodiments of the present application can also complete the estimation of the second reference capacity by using the above-mentioned initial power value and the power charge value corresponding to the integral of the charging current and charging time in the last charging process when the status information can indicate that the highest discharge depth in the last charging process of the battery is greater than or equal to the first preset discharge depth, and can indicate that the power level in the last charging process of the battery has increased from the first preset discharge depth, and can indicate that the charging is completed in the last charging process.

[0177] In some embodiments of the present application, the at least one reference capacity includes a first reference capacity and a second reference capacity, and step 021 includes:

[0178] The remaining maximum capacity is determined according to the worse reference capacity of the first reference capacity and the second reference capacity.

[0179] The capacity estimation module of the implementation manner of the present application is further configured to determine the remaining maximum capacity according to the worse reference capacity between the first reference capacity and the second reference capacity.

[0180] The processor of the electric device in the implementation manner of the present application is further configured to determine the remaining maximum capacity according to the worse reference capacity of the first reference capacity and the second reference capacity.

[0181] The processor of the energy storage system in the implementation manner of the present application is further configured to determine the remaining maximum capacity according to the worse reference capacity between the first reference capacity and the second reference capacity.

[0182] That is, the electric device and the energy storage device according to the embodiments of the present application can determine the worse reference capacity of the first reference capacity and the second reference capacity as the remaining maximum capacity of the battery when the first reference capacity and the second reference capacity are obtained.

[0183] Specifically, if the state information satisfies the first preset condition at least once within the preset time, it indicates that the implementation method of the present application can simultaneously calculate the first reference capacity and the second reference capacity based on the state information. In addition, since the first reference capacity represents the remaining maximum capacity of the battery under an ideal working environment, and the second reference capacity represents the remaining maximum capacity of the battery under an actual working environment to a certain extent, the first reference capacity takes the upper limit value.

[0184] Therefore, in the embodiment of the present application, when the first reference capacity and the second reference capacity are obtained, the remaining maximum capacity can be estimated based on the difference between the first reference capacity and the second reference capacity.

[0185] Optionally, if the status information within a certain preset time period always fails to meet the first preset condition, resulting in the inability of the implementation method of the present application to complete the determination of the second reference capacity, the implementation method of the present application can complete the firmware of the remaining maximum capacity through the first reference capacity, that is, the remaining maximum capacity under actual conditions can only be estimated through the first reference capacity under ideal conditions.

[0186] Optionally, according to prior knowledge determined through experiments, after the battery has been put into use for 3 months or 6 months, the remaining maximum capacity may decrease to a certain extent. Furthermore, if within 3 months or 6 months, the status information does not always meet the first preset condition and the second reference capacity cannot be determined through the status information, then the present application uses the first reference capacity to estimate the remaining maximum capacity under actual conditions.

[0187] To more clearly illustrate the method of estimating or determining the remaining maximum capacity in the implementation manner of the present application, please refer to the following formula.

[0188] Cap final =delta1*Cap1+delta2*Cap2+(1-delta1-delta2)Cap last_time

[0189] In the formula, Cap final represents the remaining maximum capacity, delta1 represents the preset weight corresponding to the algorithm used to calculate the first reference capacity, Cap1 represents the first reference capacity, delta2 represents the preset weight corresponding to the algorithm used to calculate the second reference capacity, Cap2 represents the second reference capacity, Cap last_time Indicates the remaining maximum capacity obtained from the last calculation.

[0190] Further, in the case where at least one reference capacity within the first preset duration includes the first reference capacity Cap1 and the second reference capacity Cap2, the weight of the smaller value of Cap1 and Cap2 is assigned a non-zero value, such as 1. That is, if Cap1 is greater than Cap2, delta1 is assigned 1. If Cap2 is greater than or equal to Cap1, delta1 is assigned 1. In the case where at least one reference capacity within the preset duration does not include the second reference capacity at all, delta1 is assigned 1 / 2.

[0191] It should be noted that, when at least one reference capacity within the first preset time period does not always include the second reference capacity, delta1 may be assigned any value within the interval of (0, 1]. Assigning a value of 1 / 2 is one of the feasible implementation methods.

[0192] It should also be noted that, if at least one reference capacity within the preset time period does not include the second reference capacity, then the Cap final Above Cap last_time , then Cap final Can be assigned to Cap last_time , that is, if the ideal Cap final Compared with the last calculated Cap last_time High, it means that the last determined Cap last_timeCap appears because it refers to the case with Cap2 (that is, when delta2 is not 0). final Above Cap last_time . Furthermore, in Cap final Above Cap last_time In the case of, it indicates the remaining maximum capacity Cap determined last time last_time It is based on the reference capacity under actual conditions, resulting in the Cap calculated last time. last_time Compared with the Cap calculated this time final Low, so to avoid Cap final The estimated error can be final Can be assigned to Cap last_time .

[0193] In this way, the implementation manner of the present application can use the worse reference capacity of the first reference capacity and the second reference capacity to complete the estimation of the remaining maximum capacity of the battery when the first reference capacity and the second reference capacity are obtained, thereby ensuring the credibility of the remaining maximum capacity to a certain extent.

[0194] In certain embodiments of the present application, the at least one reference capacity includes a third reference capacity, the state information includes static voltage information, charging duration information, and charging current information, and step 020 includes:

[0195] When the state information satisfies the second preset condition, the third reference capacity is determined according to the static voltage information, the charging duration information and the charging current information in the state information.

[0196] The capacity estimation module of the implementation mode of the present application is also used to determine a third reference capacity according to the static voltage information, charging time information and charging current information in the state information when the state information meets the second preset condition.

[0197] In the implementation manner of the present application, the processor of the electric device is also used to determine the third reference capacity according to the static voltage information, charging time information and charging current information in the status information when the status information meets the second preset condition.

[0198] In the embodiment of the present application, when the state information satisfies the second preset condition, the processor of the energy storage system determines the third reference capacity according to the static voltage information, the charging duration information and the charging current information in the state information.

[0199] That is, the embodiment of the present application can also estimate the capacity of the battery according to the static voltage, charging time and charging current of the battery, which is the third reference capacity.

[0200] It is understandable that when the battery power is low enough, the static voltage of the battery and the current capacity of the battery have a linear mapping relationship. For example, when the battery power is less than 30%, the current capacity of the battery can be determined by the static voltage.

[0201] It can also be understood that, when the current capacity of the battery is determined based on the static voltage, the integral of the charging current and the charging time can be calculated to obtain the current amount of electricity charged into the battery.

[0202] Furthermore, if the battery is charged based on a preset current, from a lower capacity (such as 30% of the remaining maximum capacity), with a fixed current or a charging current with a fixed change rate, and charged to full (i.e., 100%), the charging starting capacity can be determined based on the lowest value of the static voltage, and the charged capacity can be determined based on the integral of the charging current and the charging time, and then the current maximum remaining capacity of the battery can be determined based on the sum of the charging starting capacity and the charged capacity, thereby obtaining the third reference capacity.

[0203] In this way, the implementation mode of the present application can determine the corresponding third reference capacity based on the static voltage information, charging time information and charging current information when the status information meets the second preset condition, so that the estimation of the remaining maximum capacity can be completed based on the third reference capacity, which ensures the reliable determination of the remaining maximum capacity to a certain extent.

[0204] In certain embodiments of the present application, when the state information satisfies the second preset condition, determining the third reference capacity according to the static voltage information, the charging duration information, and the charging current information in the state information includes:

[0205] When the highest discharge depth of the battery in the last charging process is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value, the third reference capacity is determined according to the static voltage information, the charging time information and the charging current information.

[0206] The capacity estimation module of the embodiment of the present application is also used to determine the third reference capacity according to the static voltage information, charging time information and charging current information when the highest discharge depth of the battery during the last charging process is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value.

[0207] The processor of the electric device in the implementation manner of the present application is also used to determine the third reference capacity according to the static voltage information, charging time information and charging current information when the highest discharge depth of the battery in the last charging process is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value.

[0208] The processor of the energy storage system in the implementation manner of the present application is also used to determine the third reference capacity according to the static voltage information, the charging time information and the charging current information when the highest discharge depth of the battery in the last charging process is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value.

[0209] That is, the electric device and energy storage system of the embodiments of the present application can determine the third reference capacity based on the lowest static voltage, charging current and charging time of the battery in the last charging process, when the battery has completed one charge and the initial capacity of the battery during the charging process is a lower value, or in other words, the highest discharge depth recorded in the status information is greater than or equal to the second preset discharge depth, and the battery current rises to a preset power value such as SOC of 100%.

[0210] It is understandable that when the maximum discharge depth in the embodiments of the present application is higher than the second preset discharge depth, it means that the capacity of the battery is low. In this case, the battery capacity can be determined by the static voltage. For example, in some embodiments of the present application, based on a mapping table with static voltage as key and battery capacity as value, the corresponding capacitance capacity, that is, the starting charge capacity, can be determined according to the lowest static voltage value.

[0211] And, it should be noted that based on Figure 4 The discharge characteristic curve shown, and after multiple rounds of experiments, it is determined that when the discharge depth reaches about 70%, there is a more obvious mapping relationship between the battery capacity and the static voltage. Therefore, the second preset discharge depth in the embodiment of the present application may include 70%.

[0212] Furthermore, the implementation manner of the present application can determine the starting power of the battery based on the static voltage information, determine the charged power of the battery based on the charging current information and the charging time information, and complete the determination of the third reference capacity based on the sum of the starting power and the charged power.

[0213] In this way, the implementation mode of the present application can determine, based on the battery status information, that the maximum discharge depth of the battery in the last charging process is greater than or equal to the second preset discharge depth, and the capacity of the battery is increased to the preset power value. Then, the third reference capacity can be determined according to the minimum value information of the static voltage, the charging time information, and the charging duration information in the last charging process, so that the determination of the third reference capacity can be reliably executed.

[0214] In certain embodiments of the present application, when the state information satisfies the second preset condition, the step of determining the third reference capacity according to the static voltage information, the charging duration information, and the charging current information in the state information includes:

[0215] When the maximum discharge depth is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value, the initial capacity value is determined according to the lowest static voltage value of the battery during the last charging process, and the third reference capacity is determined according to the initial capacity value, the charging time information and the charging current information.

[0216] The capacity estimation module of the embodiment of the present application is also used to determine the initial capacity value according to the lowest value of the static voltage of the battery during the last charging process when the maximum discharge depth is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value, and to determine the third reference capacity according to the initial capacity value, charging time information and charging current information.

[0217] In the implementation manner of the present application, the processor of the electric device is also used to determine the initial capacity value according to the lowest value of the static voltage of the battery during the last charging process when the maximum discharge depth is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value, and to determine the third reference capacity according to the initial capacity value, charging time information and charging current information.

[0218] In the implementation manner of the present application, the processor of the energy storage system is also used to determine the initial capacity value according to the lowest value of the static voltage of the battery during the last charging process when the maximum discharge depth is greater than or equal to the second preset discharge depth and the battery power increases to a preset power value, and determine the third reference capacity according to the initial capacity value, charging duration information and charging current information.

[0219] That is, when the second preset condition is met, the embodiment of the present application can determine the minimum power or starting power of the battery, that is, the initial value of the capacity, according to the minimum value of the static voltage of the battery during the last charging process.

[0220] Furthermore, based on the charging current recorded in the charging current information of the battery during the last charging process, and the charging time recorded in the charging time information of the last charging process, the integral of the charging current and the charging time is calculated to determine the amount of charge charged to the battery in the process of the battery capacity increasing from the above initial capacity value to the preset power value.

[0221] Finally, the implementation manner of the present application can estimate the third reference capacity based on the sum of the initial capacity value and the above-mentioned charged power.

[0222] In this way, the implementation mode of the present application can determine the starting capacity value of the battery according to the minimum value of the static voltage, and can also determine the amount of power required to charge the battery from the starting capacity value to a preset power value according to the charging time information and the charging current information, and then estimate the determination of the third reference capacity, thereby ensuring the credibility of the third reference capacity to a certain extent.

[0223] In addition, it can also be understood that the embodiments of the present application can also use the above-mentioned initial capacity value and the charged capacity corresponding to the integral of the charging current and charging time in the last charging process to complete the estimation of the second reference capacity when the status information can indicate that the highest discharge depth in the last charging process of the battery is greater than or equal to the second preset discharge depth and can indicate that the charging in the last charging process is completed.

[0224] In some embodiments of the present application, the at least one reference capacity includes a first reference capacity, a second reference capacity, and a third reference capacity. According to the at least one reference capacity, step 021 includes:

[0225] The remaining maximum capacity is determined according to a reference capacity among the first reference capacity, the second reference capacity and the third reference capacity that is less than the first reference capacity.

[0226] The capacity estimation module of the implementation manner of the present application is also used to determine the remaining maximum capacity according to the reference capacity among the first reference capacity, the second reference capacity and the third reference capacity, which is less than the first reference capacity.

[0227] In the implementation manner of the present application, the processor of the electric device is further used to determine the remaining maximum capacity according to a reference capacity among the first reference capacity, the second reference capacity and the third reference capacity that is less than the first reference capacity.

[0228] In the implementation manner of the present application, the processor of the energy storage system is further configured to determine the remaining maximum capacity according to a reference capacity among the first reference capacity, the second reference capacity and the third reference capacity that is less than the first reference capacity.

[0229] It can be understood that the above-mentioned first reference capacity in the implementation mode of the present application can represent the remaining maximum capacity of the battery under an ideal working environment, and the above-mentioned second reference capacity and third reference capacity can both represent the remaining maximum capacity of the battery under an actual working environment to a certain extent, so the first reference capacity can be used as the upper limit value of the remaining maximum capacity.

[0230] Therefore, in the embodiment of the present application, when the electric equipment and the energy storage system can simultaneously obtain the first to third reference capacities, the estimation of the remaining maximum capacity can be completed based on the reference capacity among the first to third reference capacities that is worse than the ideal remaining maximum capacity, or the second reference capacity and / or the third reference capacity that is worse than the first reference capacity.

[0231] It can be understood that in certain embodiments where the status information satisfies a first preset condition to determine the second reference capacity, and the status information satisfies a second preset condition to determine the third reference capacity, the electric device and the energy storage system may only be able to complete the determination of the first reference capacity and the second reference capacity within a certain period of time, or may only be able to complete the firmware of the first reference capacity and the third reference capacity, or may only be able to complete the determination of the first reference capacity.

[0232] With respect to the above three situations, it can be understood that if only the first reference capacity can be obtained, the remaining maximum capacity of the battery can be determined as the first reference capacity.

[0233] It can also be understood that if only the determination of the first reference capacity and the second reference capacity can be completed, and the second reference capacity is not higher than or lower than the first reference capacity, the remaining maximum capacity of the battery can be determined as the second reference capacity.

[0234] In contrast, if the second reference capacity is higher or better than the first reference capacity, it indicates that the calculation of the second reference capacity is wrong, and thus the remaining maximum capacity of the battery can be determined as the first reference capacity.

[0235] And, if only the determination of the first reference capacity and the third reference capacity can be completed, and the third reference capacity is not higher than or lower than the first reference capacity, the remaining maximum capacity of the battery can be determined as the third reference capacity.

[0236] In contrast, if the third reference capacity is higher or better than the first reference capacity, it indicates that the calculation of the third reference capacity is wrong, and thus the remaining maximum capacity of the battery can be determined as the first reference capacity.

[0237] To more clearly illustrate the method of estimating or determining the remaining maximum capacity in the implementation manner of the present application, please refer to the following formula.

[0238] Cap final =delta1*Cap1+delta3*Cap3+(1-delta1-delta3)*Cap last_time

[0239] In the formula, Cap final represents the remaining maximum capacity, delta1 represents the preset weight corresponding to the algorithm used to calculate the first reference capacity, Cap1 represents the first reference capacity, delta3 represents the preset weight corresponding to the algorithm used to calculate the third reference capacity, Cap3 represents the third reference capacity, Cap last_time Indicates the remaining maximum capacity obtained from the last calculation.

[0240] Further, when the first reference capacity Cap1 and the third reference capacity Cap3 are obtained, the weight of the smaller value of Cap1 and Cap3 is assigned a non-zero value, such as 1. That is, if Cap1 is greater than Cap3, delta3 is assigned to 1, and if Cap3 is greater than or equal to Cap1, delta1 is assigned to 1.

[0241] Optionally, if the third reference capacity cannot be determined within a certain period of time (such as 3 to 6 months), delta1 can be assigned to 1 / 2 to complete Cap based on delta1 and Cap1. final Estimates.

[0242] The above-mentioned failure to complete the third reference capacity within a certain period of time (such as 3 to 6 months) and assigning delta1 to 1 / 2 is only a feasible implementation of the present application. In other implementations, delta1 can be assigned to any value in the interval of (0, 1].

[0243] Furthermore, if the third reference capacity cannot be determined within a certain period of time (such as 3 to 6 months), the Cap1 can be determined based on delta1 and Cap1. final After the estimation, the obtained Cap final Above Cap last_time , then Cap final Can be assigned to Cap last_time , that is, if the Cap calculated this time is final Compared with the last calculated Cap last_time High, it means that the last determined Cap last_time This is based on the case where Cap3 exists (that is, when delta3 is not 0), so Cap final Above Cap last_time .

[0244] Furthermore, in this calculation, Cap final Above Cap last_time In the case of, it indicates the remaining maximum capacity Cap determined last time last_time It is based on the reference capacity under actual conditions, resulting in the Cap calculated last time. last_time Compared with the Cap calculated this time final Low, so to avoid Cap final The estimated error can be final Can be assigned to Cap last_time .

[0245] For an estimate of the remaining maximum capacity when the first to third reference capacities are available simultaneously, see Figure 5 and Figure 6 . Figure 5 and Figure 6 All of them are flowcharts of capacity estimation methods in certain implementation modes of the present application.

[0246] It can be understood that when the state of the implementation mode of the present application satisfies the above-mentioned first preset condition and the second preset condition, the implementation mode of the present application can simultaneously obtain the first reference capacity, the second reference capacity and the third reference capacity.

[0247] Furthermore, it should be noted that, when the state information satisfies the second preset condition, the first preset condition may also be satisfied. For example, when the second discharge depth is higher than the first discharge depth, if the second preset condition is satisfied and the battery is charged from the initial capacity corresponding to the first discharge depth to the preset power value, the first preset condition is also satisfied.

[0248] Furthermore, after obtaining the first reference capacity, the second reference capacity and the third reference capacity, since the first reference capacity is an estimate of the remaining maximum capacity under ideal conditions, the second reference capacity and the third reference capacity are usually not higher than the first reference capacity. Compared with the first reference capacity, the second reference capacity and the third reference capacity are relatively reliable capacity estimates.

[0249] Optionally, in certain embodiments where the status information satisfies a first preset condition to determine the second reference capacity, and the status information satisfies a second preset condition to determine the third reference capacity, the remaining maximum capacity may decrease to a certain extent after the battery is put into use for 3 or 6 months. Furthermore, if the status information does not satisfy the above-mentioned first or second preset conditions within 3 or 6 months, so that the second reference capacity and the third reference capacity cannot be obtained within 3 or 6 months, the present application estimates the remaining maximum capacity under actual conditions through the first reference capacity.

[0250] To more clearly illustrate the method of estimating or determining the remaining maximum capacity in the implementation mode of the present application, please refer to the following formula and refer to Figure 5 and Figure 6 .

[0251] Cap final =delta1*Cap1+delta2*Cap2+delta3*Cap3+(1-delta1-delta3)*Cap last_time

[0252] In the formula, Cap finalrepresents the remaining maximum capacity, delta1 represents the preset weight corresponding to the algorithm used to calculate the first reference capacity, Cap1 represents the first reference capacity, delta2 represents the preset weight corresponding to the algorithm used to calculate the second reference capacity, Cap2 represents the second reference capacity, delta3 represents the preset weight corresponding to the algorithm used to calculate the third reference capacity, Cap3 represents the third reference capacity, Cap last_time Indicates the remaining maximum capacity obtained from the last calculation.

[0253] Furthermore, if the first reference capacity Cap1, the second reference capacity Cap2 and the third reference capacity Cap3 are obtained within a certain period of time (3 months or 6 months), and Cap2 is less than Cap1, then Figure 5 The second state in is satisfied, so delta2 is assigned a non-zero value.

[0254] And, if the first reference capacity Cap1, the second reference capacity Cap2 and the third reference capacity Cap3 are obtained within a certain period of time (3 months or 6 months), and Cap3 is smaller than Cap1, then Figure 5 The third condition in is met, and delta3 is assigned a non-zero value.

[0255] In contrast, if the reference capacity obtained within a certain period of time (3 months or 6 months) always includes only the first reference capacity, or if Cap3 and Cap2 are not less than Cap1, then Figure 5 If the first condition is met, delta1 is assigned a non-zero value, such as 1 / 2.

[0256] It should be noted that when the first condition is met, delta1 can be assigned any value in the interval (0, 1], and assigning a value of 1 / 2 is one of the feasible implementation methods.

[0257] It should also be noted that, when both delta2 and delta3 are non-zero values, delta3 may be greater than delta2. For example, in some embodiments, when both delta2 and delta3 are non-zero values, delta2 may be 1 / 3 and delta3 may be 1 / 2.

[0258] And, in the case where only delta3 is non-zero, if the value of delta3 can be determined according to the lowest static voltage value or the highest discharge depth. That is, when the lowest static voltage value is smaller, the second reference capacity that can be calculated according to the charging current information and the charging duration information in the state information is more related to the actual remaining maximum capacity of the battery, so in some embodiments, delta3 can be any one of 0.5, 0.8 and 1. For example, when the highest discharge depth is 100%, delta3 is 1. When the highest discharge depth is 90%, delta3 is 0.8. When the highest discharge depth is 80%, delta3 is 0.5.

[0259] It should also be noted that within a certain period of time (such as 3 to 6 months), the second reference capacity and the third reference capacity are always obtained, and the currently determined Cap final Above Cap last_time , then Cap final Can be assigned to Cap last_time , that is, if the Cap estimated by Cap1 final Compared with the last calculated Cap last_time High, it means that the last determined Cap last_time The reference is Cap2 and / or Cap3, so there is Cap final Above Cap last_time .

[0260] Therefore, in Cap final Above Cap last_time In the case of, it indicates the remaining maximum capacity Cap determined last time last_time It is determined based on Cap2 and / or Cap3 in actual situations rather than Cap1 in ideal situations, so the Cap calculated in the previous last_time Compared with the Cap calculated this time final Therefore, to avoid Cap final The estimated error can be final Can be assigned to Cap last_time .

[0261] In addition, it can be understood that after the electric device and energy storage device of the embodiment of the present application complete the estimation of the remaining maximum capacity of the battery according to the above-mentioned capacity estimation method, the health of the battery can be estimated according to the estimated remaining maximum capacity. Therefore, please refer to Figure 7 The present application also provides a method for estimating a health status, including:

[0262] 03: Obtaining the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined by the above-mentioned method for estimating the remaining maximum capacity of the battery;

[0263] 04: Estimate the battery health status based on the remaining maximum capacity.

[0264] See also Figure 8 , the embodiment of the present application also provides a health status estimation device 300. The health status firmware method of the embodiment of the present application can be implemented by the health status estimation device 300 of the embodiment of the present application. Specifically, the health status estimation device 300 includes an acquisition module 310 and a state estimation module 320. The acquisition module 310 is used to acquire the remaining maximum capacity of the battery, and the remaining maximum capacity is determined by the above-mentioned remaining maximum capacity estimation method of the battery. The state estimation module 320 is used to estimate the health status of the battery according to the remaining maximum capacity.

[0265] The embodiment of the present application also provides an electric device, which includes a memory and a processor. The method for estimating the health state of the embodiment of the present application can be implemented by the electric device of the embodiment of the present application. Specifically, a computer program is stored in the memory, and the processor is used to obtain the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined by the above-mentioned method for estimating the remaining maximum capacity of the battery; the health state of the battery is estimated according to the remaining maximum capacity.

[0266] The embodiment of the present application also provides an energy storage system, which includes a memory and a processor. The capacity estimation method of the embodiment of the present application can be implemented by the energy storage system of the embodiment of the present application. Specifically, a computer program is stored in the memory, and the processor is used to obtain the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined by the remaining maximum capacity estimation method of the above-mentioned battery; the health state of the battery is estimated according to the remaining maximum capacity.

[0267] It is understood that the electric device and energy storage system of the embodiment of the present application can estimate the current remaining maximum capacity of the battery carried by itself according to the capacity estimation method provided in the above embodiment. Furthermore, the health status of itself can be determined according to the current remaining maximum capacity.

[0268] Optionally, in certain embodiments of the present application, the electric device and the energy storage system may determine whether their own health status has declined based on the currently estimated maximum remaining capacity and the last estimated maximum remaining capacity, thereby completing the estimation of the health status.

[0269] Optionally, in certain embodiments of the present application, the electric device and the energy storage system may determine the ratio of the estimated maximum remaining capacity to the factory remaining maximum capacity based on the estimated maximum remaining capacity and the factory remaining maximum capacity of the battery to obtain an estimate of the health status.

[0270] Thus, in the implementation mode of the present application, the target battery capacity estimation algorithm among a plurality of preset battery capacity estimation algorithms can be determined according to the battery status information, thereby completing the estimation of the remaining maximum capacity of the battery according to the status information and the target battery capacity estimation algorithm, so that the credibility of the remaining maximum capacity can be guaranteed to a certain extent. The implementation mode of the present application determines the target battery capacity estimation algorithm based on a plurality of preset battery capacity estimation algorithms, so the estimation of the remaining maximum capacity can be completed to a certain extent in combination with the characteristics or adaptability of the preset battery capacity estimation algorithm, thereby avoiding to a certain extent the situation in which the credibility of the estimation result is low when a single algorithm is used to estimate the remaining maximum capacity of the battery. In addition, the implementation mode of the present application can be based on the remaining maximum capacity estimation result with higher credibility when estimating the health status of the battery, thereby ensuring a reliable estimation of the health status.

[0271] It can be understood that the capacity estimation method or health status estimation method provided in the embodiments of the present application can be applied to a battery management system (BMS) independently arranged in electric equipment, energy storage systems, other equipment and other systems equipped with batteries, so that the electric equipment, energy storage systems, other equipment and other systems can execute the above-mentioned remaining maximum capacity estimation method or the above-mentioned health status estimation method according to the battery management system.

[0272] Therefore, the present application also provides a battery management system, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, a method for estimating the remaining maximum capacity of the above-mentioned battery, or a method for estimating the above-mentioned health status is implemented.

[0273] It can also be understood that the capacity estimation method or health status estimation method provided in the embodiments of the present application can be applied to processors independently arranged in electric equipment, energy storage systems, other equipment and other systems equipped with batteries, so that the electric equipment, energy storage systems, other equipment and other systems can execute the above-mentioned capacity estimation method or health status estimation method according to the processor.

[0274] For this reason, the present application also provides a processor, which is used to implement the above-mentioned method for estimating the remaining maximum capacity of the battery, or the above-mentioned method for estimating the health status. It should be noted that the processor in the implementation of the present application can be understood as a device composed of one or more of a chip, an integrated circuit, an MCU (microcontroller unit), and the like.

[0275] In addition, the present application also provides a computer-readable storage medium storing a computer program, which, when executed by one or more processors, implements the above-mentioned method for estimating the remaining maximum capacity of the battery, or the above-mentioned method for estimating the health status.

[0276] In the description of this specification, the descriptions with reference to the terms "specifically", "further", "particularly", "understandably", etc. are intended to mean that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms are not intended to refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0277] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0278] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for estimating the remaining maximum capacity of a battery, characterized in that: include: determining a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to the battery status information; The remaining maximum capacity of the battery is estimated based on the state information and the target battery capacity estimation algorithm.

2. The method according to claim 1, characterized in that The target battery capacity estimation algorithm includes at least one preset battery capacity estimation algorithm, and estimating the remaining maximum capacity of the battery according to the state information and the target battery capacity estimation algorithm includes: determining at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm; The remaining maximum capacity is determined according to the at least one reference capacity.

3. The method according to claim 2, characterized in that The determining the remaining maximum capacity according to the at least one reference capacity includes: The remaining maximum capacity of the battery is determined according to the reference capacity corresponding to each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm and the preset weight corresponding to each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm.

4. The method according to claim 2, characterized in that: The at least one reference capacity includes a first reference capacity, the state information includes power throughput information and historical power used information, and the determining of the at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes: When the power type of the electric device corresponding to the battery is the first type, the first reference capacity is determined according to the power throughput information and the historical used power information.

5. The method according to claim 2, characterized in that: The at least one reference capacity includes a first reference capacity, the state information includes historical mileage information and historical used electric energy information, and the determining of at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes: When the power type of the electric device corresponding to the battery is the second type, the first reference capacity is determined according to the historical mileage information and the historical used electric energy information.

6. The method according to claim 2, characterized in that The state information includes charging current information and charging duration information, the at least one reference capacity includes a second reference capacity, and determining at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes: When the state information satisfies a first preset condition, the second reference capacity is determined according to the charging current information and the charging duration information.

7. The method according to claim 6, characterized in that The determining the second reference capacity according to the charging current information and the charging duration information when the state information satisfies the first preset condition includes: When the highest discharge depth during the last charging process of the battery is greater than or equal to a first preset discharge depth, and the power of the battery increases from an initial power value corresponding to the first preset discharge depth to a preset power value, the second reference capacity is determined according to the initial power value, the charging current information and the charging duration information.

8. The method according to claim 7, characterized in that When the highest discharge depth in the last charging process of the battery is greater than or equal to a first preset discharge depth, and the power of the battery increases from an initial power value corresponding to the first preset discharge depth to a preset power value, determining the second reference capacity according to the initial power value, the charging current information, and the charging duration information includes: When the maximum discharge depth is greater than or equal to the first preset discharge depth and the battery power increases from the initial power value to the preset power value, the second reference capacity is determined according to the initial power value and the charging time and charging current for the battery power to increase from the initial power value to the preset power value.

9. The method according to claim 2, characterized in that: The at least one reference capacity includes a first reference capacity and a second reference capacity, and determining the remaining maximum capacity according to the at least one reference capacity includes: The remaining maximum capacity is determined according to a worse reference capacity between the first reference capacity and the second reference capacity.

10. The method according to claim 2, characterized in that The at least one reference capacity includes a third reference capacity, the state information includes static voltage information, charging duration information, and charging current information, and determining at least one reference capacity according to the state information and each of the preset battery capacity estimation algorithms in the target battery capacity estimation algorithm includes: When the state information satisfies the second preset condition, the third reference capacity is determined according to the static voltage information, the charging duration information and the charging current information in the state information.

11. The method according to claim 10, characterized in that When the state information satisfies the second preset condition, determining the third reference capacity according to the static voltage information, the charging duration information, and the charging current information in the state information includes: When the highest discharge depth of the battery in the last charging process is greater than or equal to a second preset discharge depth and the power of the battery increases to a preset power value, the third reference capacity is determined according to the static voltage information, the charging time information and the charging current information.

12. The method according to claim 11, characterized in that The static voltage information includes a minimum static voltage value, and when the state information satisfies a second preset condition, determining the third reference capacity according to the static voltage information, the charging duration information, and the charging current information in the state information includes: When the maximum discharge depth is greater than or equal to the second preset discharge depth and the battery power increases to the preset power value, the initial capacity value is determined according to the lowest static voltage value of the battery during the last charging process, and the third reference capacity is determined according to the initial capacity value, the charging duration information and the charging current information.

13. The method according to claim 2, characterized in that The at least one reference capacity includes a first reference capacity, a second reference capacity, and a third reference capacity, and determining the remaining maximum capacity according to the at least one reference capacity includes: The remaining maximum capacity is determined according to a reference capacity among the first reference capacity, the second reference capacity, and the third reference capacity that is less than the first reference capacity.

14. A method for estimating health status, characterized in that: include: Obtaining the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined by the method according to any one of claims 1 to 13; A health state of the battery is estimated based on the remaining maximum capacity.

15. A device for estimating the remaining maximum capacity of a battery, characterized in that: include: A determination module, configured to determine a target battery capacity estimation algorithm from a plurality of preset battery capacity estimation algorithms according to the battery status information; A capacity estimation module is used to estimate the remaining maximum capacity of the battery according to the state information and the target battery capacity estimation algorithm.

16. A device for estimating health status, characterized in that: include: An acquisition module, used to acquire the remaining maximum capacity of the battery, wherein the remaining maximum capacity is determined by the method according to any one of claims 1 to 13; A state estimation module is used to estimate the health state of the battery according to the remaining maximum capacity.

17. An electric device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 14 is implemented.

18. An energy storage system, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 14 is implemented.

19. A battery management system, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 14 is implemented.

20. A processor, characterized in that: The processor is used to implement the method according to any one of claims 1 to 14.

21. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the method according to any one of claims 1 to 14 is implemented.