Battery charging and discharging correction strategy determination method and device and electronic equipment

Abstract

The invention discloses a battery charging and discharging correction strategy determination method and apparatus, and an electronic device. The method comprises the steps that first attenuation data and second attenuation data corresponding to a target battery are acquired, the first attenuation data are performance attenuation data of the target battery in a non-running state, and the second attenuation data are performance attenuation data of the target battery in a running state; determining a first correction strategy corresponding to the target battery according to the first attenuation data; determining a second correction strategy corresponding to the target battery according to the second attenuation data; determining life simulation data corresponding to the target battery; and determining a target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy and the life simulation data. According to the method and the device, the technical problem that the battery charging and discharging correction strategy is not accurately determined when the battery charging and discharging correction strategy is determined in the prior art is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of battery, in particular to a battery charging and discharging correction strategy determination method and device and electronic equipment. BACKGROUND

[0002] During use, the performance of the battery will gradually decrease. If the battery is not corrected by charging and discharging, it will further cause overcharging or discharging, aggravate the imbalance of the internal chemical reaction of the battery, and further cause the rapid decline of the performance of the battery, the shortening of the service life, the increase of the safety hazard, and other problems, which seriously affect the normal use and reliability of the battery. However, in the related art, when determining the battery charging and discharging correction strategy, there is the technical problem that the battery charging and discharging correction strategy is not accurately determined.

[0003] For the above problems, there is no effective solution at present. SUMMARY

[0004] The embodiments of the present application provide a battery charging and discharging correction strategy determination method and device and electronic equipment, to at least solve the technical problem that the battery charging and discharging correction strategy is not accurately determined in the related art when determining the battery charging and discharging correction strategy.

[0005] According to an aspect of the embodiments of the present application, a battery charging and discharging correction strategy determination method is provided, comprising: obtaining first attenuation data and second attenuation data corresponding to a target battery, wherein the first attenuation data is performance attenuation data of the target battery in a non-running state, and the second attenuation data is performance attenuation data of the target battery in a running state; determining a first correction strategy corresponding to the target battery according to the first attenuation data; determining a second correction strategy corresponding to the target battery according to the second attenuation data; determining life simulation data corresponding to the target battery; and determining a target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy, and the life simulation data.

[0006] Optionally, the determining the target modification strategy corresponding to the target battery according to the first modification strategy, the second modification strategy, and the life simulation data comprises: determining a first cycle proportion and a second cycle proportion corresponding to the target battery according to the life simulation data, wherein the first cycle proportion represents a proportion of a non-operation cycle of the target battery in a battery life cycle, and the second cycle proportion represents a proportion of an operation cycle of the target battery in the battery life cycle; adjusting the first modification strategy according to the first cycle proportion to obtain an adjusted first modification strategy; adjusting the second modification strategy according to the second cycle proportion to obtain an adjusted second modification strategy; and determining the target modification strategy corresponding to the target battery according to the adjusted first modification strategy and the adjusted second modification strategy.

[0007] Optionally, the determining the first cycle proportion corresponding to the target battery according to the life simulation data comprises: in a case where the first cycle proportion is multiple, determining multiple non-operation working condition parameters corresponding to the target battery; and determining multiple first cycle proportions corresponding to the target battery according to the multiple non-operation working condition parameters and the life simulation data, wherein the multiple first cycle proportions correspond to the multiple non-operation working condition parameters one by one.

[0008] Optionally, the determining the second cycle proportion corresponding to the target battery according to the life simulation data comprises: determining a user preference parameter corresponding to the target battery; and determining the second cycle proportion corresponding to the target battery according to the user preference parameter and the life simulation data.

[0009] Optionally, the determining the life simulation data corresponding to the target battery comprises: determining multiple test environment regions and multiple use condition parameters corresponding to the target battery; for each use condition parameter in the multiple use condition parameters, determining region simulation data corresponding to multiple test environment regions respectively to obtain multiple region simulation data corresponding to the multiple use condition parameters respectively; and determining the life simulation data corresponding to the target battery according to the multiple region simulation data corresponding to the multiple use condition parameters respectively.

[0010] Optionally, the determining the target modification strategy corresponding to the target battery according to the first modification strategy, the second modification strategy, and the life simulation data comprises: determining a use scenario parameter corresponding to the target battery, wherein the use scenario parameter comprises accumulated use time and accumulated use mileage; and determining the target modification strategy corresponding to the target battery according to the use scenario parameter, the first modification strategy, the second modification strategy, and the life simulation data.

[0011] Optionally, after the target modification strategy corresponding to the target battery is determined according to the first modification strategy, the second modification strategy, and the life simulation data, the method further includes: in a case where the target modification strategy includes a charge-discharge modification index, determining a plurality of charge-discharge modification gradients corresponding to the target battery according to the charge-discharge modification index, wherein the charge-discharge modification index represents a modification degree of a charge-discharge parameter of the target battery; and modifying the charge-discharge parameter of the target battery according to the plurality of charge-discharge modification gradients in sequence until the plurality of charge-discharge modification gradients are processed completely, to obtain a modified target battery.

[0012] According to an aspect of an embodiment of the present application, a battery charge-discharge modification strategy determination apparatus is provided, including: an acquisition module configured to acquire first degradation data and second degradation data corresponding to a target battery, wherein the first degradation data is performance degradation data of the target battery in an un-operated state, and the second degradation data is performance degradation data of the target battery in an operated state; a first determination module configured to determine a first modification strategy corresponding to the target battery according to the first degradation data; a second determination module configured to determine a second modification strategy corresponding to the target battery according to the second degradation data; a third determination module configured to determine life simulation data corresponding to the target battery; and a fourth determination module configured to determine a target modification strategy corresponding to the target battery according to the first modification strategy, the second modification strategy, and the life simulation data.

[0013] According to an aspect of an embodiment of the present application, an electronic device is provided, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the battery charge-discharge modification strategy determination method according to any one of the above.

[0014] According to an aspect of an embodiment of the present application, a computer-readable storage medium is provided, including: when instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the battery charge-discharge modification strategy determination method according to any one of the above.

[0015] In the embodiment of the present application, the first attenuation data and the second attenuation data corresponding to the target battery are acquired, wherein the first attenuation data is the performance attenuation data of the target battery in the non-operation state, and the second attenuation data is the performance attenuation data of the target battery in the operation state; the first correction strategy corresponding to the target battery is determined according to the first attenuation data; the second correction strategy corresponding to the target battery is determined according to the second attenuation data; the life simulation data corresponding to the target battery is determined; and the target correction strategy corresponding to the target battery is determined according to the first correction strategy, the second correction strategy, and the life simulation data. After the charging and discharging correction strategies of the target battery in the non-operation state and in the charging and discharging cycle use process are determined, the performance change trend and the life cycle characteristics of the target battery under different use conditions can be further predicted by combining the life simulation data of the target battery, so that a charging and discharging correction strategy closer to the actual situation is obtained, so as to avoid excessive charging and discharging of the target battery, ensure the healthy use of the battery, and thus solve the technical problem of inaccurate determination of the battery charging and discharging correction strategy in the related art. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are included to provide a further understanding of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and together with the description serve to explain the present application. In the drawings:

[0017] Figure 1 FIG. 1 is a flowchart of a battery charging and discharging correction strategy determination method according to an embodiment of the present application;

[0018] Figure 2 FIG. 2 is a schematic diagram of battery capacity attenuation in an optional embodiment of the present application;

[0019] Figure 3 FIG. 3 is a schematic diagram of calendar attenuation at different temperatures and SOC in an optional embodiment of the present application;

[0020] Figure 4 FIG. 4 is a schematic diagram of available battery cycle aging data in an optional embodiment of the present application;

[0021] Figure 5 FIG. 5 is a schematic diagram of predetermined region simulation attenuation based on warranty requirement 1 in an optional embodiment of the present application;

[0022] Figure 6 FIG. 6 is a schematic diagram of predetermined region simulation attenuation based on warranty requirement 2 in an optional embodiment of the present application;

[0023] Figure 7 FIG. 7 is a schematic diagram of predetermined region simulation attenuation based on warranty requirement 3 in an optional embodiment of the present application;

[0024] Figure 8 is a structural block diagram of a battery charge-discharge correction strategy determination device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the personnel in the technical field better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely in the following with reference to the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all. Based on the embodiment in the present application, all other embodiments obtained by the person skilled in the art without creative labor should belong to the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] According to the embodiment of the present application, an embodiment of a battery charge-discharge correction strategy determination method is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0029] Figure 1 is a flowchart of a battery charge-discharge correction strategy determination method according to an embodiment of the present application, as Figure 1 shown, the method comprises the following steps:

[0030] S102, obtaining first and second attenuation data corresponding to the target battery, wherein the first attenuation data is the performance attenuation data of the target battery in the non-running state, and the second attenuation data is the performance attenuation data of the target battery in the running state.

[0031] In step S102 provided in the present application, the first and second attenuation data corresponding to the target battery are obtained.

[0032] The target battery refers to a battery that needs to determine the charging and discharging correction strategy. The target battery can be a battery pack, a battery group, and any power battery.

[0033] The first attenuation data refers to the performance attenuation data of the target battery in an unoperated state. The unoperated state generally refers to the state of the battery at rest, without charging and discharging operation. The first attenuation data reflects the performance degradation of the battery in this state, such as the self-discharge rate of the battery, the natural capacity attenuation over time, etc.

[0034] The second attenuation data refers to the performance attenuation data of the target battery in an operated state. The operated state refers to the state of the battery in the charging and discharging process or the normal use process. The second attenuation data reflects the performance degradation of the battery in the operated state, such as the capacity attenuation of the battery in the charging and discharging cycle, the increase of internal resistance, etc.

[0035] The first attenuation data reflects the natural attenuation of the battery in the resting state, and the second attenuation data reflects the performance degradation of the battery in the actual charging and discharging use. By obtaining the first attenuation data and the second attenuation data of the target battery, the performance attenuation characteristics of the target battery in different states can be comprehensively understood.

[0036] In step S104, the first correction strategy corresponding to the target battery is determined according to the first attenuation data.

[0037] In step S104, the first correction strategy corresponding to the target battery is determined according to the first attenuation data.

[0038] The first correction strategy refers to the charging and discharging correction strategy formulated according to the performance attenuation data of the target battery in the unoperated state (first attenuation data). It is a design scheme for adjusting the performance degradation of the battery in the resting state, which is used to optimize the charging and discharging parameters of the target battery, to slow down the natural attenuation process of the target battery and prolong the service life of the target battery. The specific content of the first correction strategy can include adjusting the charging current, charging voltage, discharge depth and other parameters of the battery to adapt to the performance change of the target battery in the unoperated state.

[0039] Since the first attenuation data can reflect the performance degradation characteristics of the target battery in the resting state, the first correction strategy of the target battery can be determined by the first attenuation data, which can effectively slow down the natural attenuation process of the target battery, prolong its service life, and ensure that the target battery maintains a good health state in the unoperated state.

[0040] S106, determine a second correction strategy corresponding to the target battery according to the second attenuation data.

[0041] In the step S106 provided in the present application, a second correction strategy corresponding to the target battery is determined according to the second attenuation data.

[0042] Among them, the second correction strategy is a charging and discharging correction strategy formulated according to the performance attenuation data (second attenuation data) of the target battery in the running state. It is a adjustment scheme designed for the performance decline characteristics of the battery in the charging and discharging cycle or normal use process, which is used to optimize the charging and discharging parameters of the target battery, to slow down the capacity attenuation, internal resistance increase and other problems of the target battery in the use process, and to ensure the performance and life of the target battery in the running state. The specific content of the second correction strategy includes adjusting the charging rate, discharging rate, charging termination voltage, discharging cutoff voltage, charging and discharging rate and other parameters of the battery, so as to adapt to the performance change of the target battery in the running state, so as to better protect the target battery and prolong its service life.

[0043] According to the second attenuation data, the second correction strategy corresponding to the target battery is determined, which aims at the performance decline characteristics of the battery in the charging and discharging cycle or normal use process, and optimizes the charging and discharging process of the battery by adjusting the charging rate, discharging rate, charging termination voltage, discharging cutoff voltage and other parameters, so as to slow down the capacity attenuation and internal resistance increase of the battery in the running state, ensure the performance and life of the battery in the use process, and improve the use efficiency and reliability of the battery.

[0044] Since the second attenuation data can reflect the performance decline characteristics of the target battery in the running state, the second correction strategy corresponding to the target battery is determined according to the second attenuation data, which can optimize the charging and discharging process of the target battery in the running state, so as to effectively slow down the capacity attenuation and internal resistance increase of the battery, and then prolong the service life of the battery and ensure its good performance in the running state.

[0045] S108, determine the life simulation data corresponding to the target battery.

[0046] In the step S108 provided in the present application, the life simulation data corresponding to the target battery is determined.

[0047] Among them, the life simulation data is the data about the performance change and life characteristics of the target battery in its entire life cycle obtained by simulation model. The life simulation data usually includes the performance attenuation curve, cycle life, calendar life, internal resistance change trend of the target battery under different use conditions, such as temperature, charging and discharging rate, state of charge (SOC) range, etc.

[0048] The life simulation data of the target battery can reflect the performance change and life characteristics of the target battery in its entire life cycle, thereby helping to analyze the performance degradation law of the target battery under different use conditions.

[0049] In S110, a target correction strategy corresponding to the target battery is determined according to the first correction strategy, the second correction strategy, and the life simulation data.

[0050] In S110, a target correction strategy corresponding to the target battery is determined according to the first correction strategy, the second correction strategy, and the life simulation data.

[0051] The target correction strategy is a comprehensive correction scheme for optimizing the charging and discharging process of the target battery, which is determined by comprehensively considering the performance degradation characteristics of the target battery in different states and the performance change law of the target battery in its entire life cycle. The target correction strategy is based on the first correction strategy (for the static state), the second correction strategy (for the running state), and the life simulation data (reflecting the performance change of the battery in the entire life cycle), and can comprehensively and accurately optimize the charging and discharging parameters of the target battery to achieve healthy use and life extension of the target battery under different working conditions.

[0052] According to the first correction strategy, the second correction strategy, and the life simulation data, the target correction strategy is determined, which comprehensively considers the performance degradation characteristics of the target battery in static and running states, and the performance change law of the target battery in its entire life cycle, so that the target correction strategy is more comprehensive and accurate to the actual use of the target battery, and thus helps to avoid excessive charging and discharging of the target battery to ensure healthy use of the target battery.

[0053] By the above steps S102-S110, the first attenuation data corresponding to the target battery and the second attenuation data are obtained, wherein the first attenuation data is the performance attenuation data of the target battery in the non-operation state, and the second attenuation data is the performance attenuation data of the target battery in the operation state; the first correction strategy corresponding to the target battery is determined according to the first attenuation data; the second correction strategy corresponding to the target battery is determined according to the second attenuation data; the life simulation data corresponding to the target battery is determined; and the target correction strategy corresponding to the target battery is determined according to the first correction strategy, the second correction strategy, and the life simulation data. After determining the charge-discharge correction strategy of the target battery in the non-operation state and the charge-discharge correction strategy in the charge-discharge cycle use process, the performance change trend and the life cycle characteristics of the target battery under different use conditions can be further predicted by combining the life simulation data of the target battery, so that a more actual charge-discharge correction strategy is obtained to avoid excessive charge-discharge of the target battery and ensure the healthy use of the battery, thereby solving the technical problem of inaccurate determination of the battery charge-discharge correction strategy in the related art.

[0054] As an optional embodiment, the target correction strategy corresponding to the target battery is determined according to the first correction strategy, the second correction strategy, and the life simulation data, comprising: determining the first cycle ratio and the second cycle ratio corresponding to the target battery according to the life simulation data, wherein the first cycle ratio represents the proportion of the non-operation cycle of the target battery in the life cycle of the battery, and the second cycle ratio represents the proportion of the operation cycle of the target battery in the life cycle of the battery; adjusting the first correction strategy according to the first cycle ratio to obtain an adjusted first correction strategy; adjusting the second correction strategy according to the second cycle ratio to obtain an adjusted second correction strategy; and determining the target correction strategy corresponding to the target battery according to the adjusted first correction strategy and the adjusted second correction strategy.

[0055] In this embodiment, the specific steps of determining the target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy, and the life simulation data.

[0056] Among them, the first cycle ratio is the proportion of the cycle time of the target battery in the non-operation state (static state) in its entire life cycle, that is, it reflects the proportion of time occupied by the target battery in the static state, for evaluating the influence of performance attenuation of the target battery in the non-operation state on the overall life.

[0057] Among them, the non-operation cycle is the time period experienced by the target battery in the static state (i.e. without charge-discharge operation), which reflects the length of time of the target battery in the non-use state.

[0058] The second cycle ratio refers to the proportion of the cycle time of the target battery in the running state (charging and discharging state) to the entire life cycle, that is, it reflects the proportion of the time occupied by the target battery in the actual use process, so as to evaluate the influence of the performance degradation of the target battery in the running state on the overall life.

[0059] The running cycle refers to the time period experienced by the battery in the actual use process (such as charging and discharging cycle), which reflects the use time of the target battery in the running state.

[0060] By determining the non-running cycle ratio and the running cycle ratio of the target battery through the life simulation data, the time distribution of the battery in different states can be determined, so that the first correction strategy is adjusted according to the non-running cycle ratio, and the second correction strategy is adjusted according to the running cycle ratio. Finally, the adjusted first and second correction strategies can accurately and precisely formulate the charging and discharging correction strategy suitable for the target battery, so as to realize the healthy use and life extension of the target battery under different working conditions, and improve the overall performance and reliability of the target battery.

[0061] As an optional embodiment, the first cycle ratio corresponding to the target battery is determined according to the life simulation data, including: in the case that the first cycle ratio is multiple, multiple non-running working condition parameters corresponding to the target battery are determined; according to the multiple non-running working condition parameters and the life simulation data, multiple first cycle ratios corresponding to the target battery are determined, wherein the multiple first cycle ratios correspond to the multiple non-running working condition parameters one by one.

[0062] In this embodiment, the specific steps of determining the first cycle ratio corresponding to the target battery according to the life simulation data are as follows.

[0063] The non-running working condition parameter refers to various conditions and factors that affect the performance degradation of the battery when the target battery is in the non-running state (i.e. static state, without charging and discharging operation). The non-running working condition parameter includes but is not limited to temperature, state of charge (SOC), etc.

[0064] In the case that the first cycle ratio is multiple, by determining multiple non-running working condition parameters (such as temperature, state of charge, etc.) corresponding to the target battery, and combining the life simulation data, the first cycle ratio under each working condition can be accurately calculated to comprehensively evaluate the influence of different working conditions on the performance degradation of the battery in the non-running state, thereby helping to improve the accuracy of the correction strategy.

[0065] As an optional embodiment, the second cycle ratio corresponding to the target battery is determined according to the life simulation data, including: determining a user preference parameter corresponding to the target battery; and determining the second cycle ratio corresponding to the target battery according to the user preference parameter and the life simulation data.

[0066] In this embodiment, the specific steps of determining the second cycle ratio corresponding to the target battery according to the life simulation data.

[0067] The user preference parameter is used to represent the preference of the user when using the target battery. The user preference parameter reflects the individualized requirements of the user on battery performance, life, charging and discharging speed, etc., including: charging and discharging speed preference, use frequency preference, environmental condition preference, etc.

[0068] The user preference parameter reflects the specific requirements of the user on the battery, such as charging and discharging speed, use frequency and environmental conditions, etc. By determining the user preference parameter and combining the life simulation data to adjust the second cycle ratio, the battery management strategy can be accurately formulated, and the user's individualized service experience can be improved.

[0069] As an optional embodiment, the life simulation data corresponding to the target battery is determined, including: determining a plurality of test environment regions and a plurality of use condition parameters corresponding to the target battery; for each use condition parameter in the plurality of use condition parameters, determining region simulation data corresponding to the plurality of test environment regions respectively, to obtain a plurality of region simulation data corresponding to the plurality of use condition parameters respectively; and determining the life simulation data corresponding to the target battery according to the plurality of region simulation data corresponding to the plurality of use condition parameters respectively.

[0070] In this embodiment, the specific steps of determining the life simulation data corresponding to the target battery.

[0071] The plurality of test environment regions are different geographical or environmental regions set when simulating the life of the battery. These regions can have different temperature, humidity, altitude and other environmental conditions. These regions are set to simulate the performance of the battery in different actual use environments. For example, they can include cold regions, tropical regions, temperate regions, etc.

[0072] The plurality of use condition parameters are used to represent the use conditions of the target battery, such as use time, use mileage, etc.

[0073] The regional simulation data is data simulating the performance and life changes of the target battery in the corresponding test environment region. These data reflect the performance of the target battery under specific environmental conditions. For example, the performance degradation curve, internal resistance change trend, etc. of the battery under cold regions (such as -20℃).

[0074] The determination of the multiple test environment regions and the multiple use condition parameters corresponding to the target battery, and the corresponding regional simulation data, can comprehensively simulate the performance and life changes of the target battery under different environments and use conditions, to more accurately predict the performance of the battery in actual use, and thus determine more accurate life simulation data.

[0075] As an optional embodiment, the determination of the target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy, and the life simulation data comprises: determining a use context parameter corresponding to the target battery, wherein the use context parameter comprises cumulative use time and cumulative use mileage; and determining the target correction strategy corresponding to the target battery according to the use context parameter, the first correction strategy, the second correction strategy, and the life simulation data.

[0076] In this embodiment, the specific steps of determining the target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy, and the life simulation data.

[0077] The use context parameter is a parameter describing the specific context and conditions of the target battery in actual use. These parameters can reflect the use history and current state of the battery. The use context parameter usually includes cumulative use time, cumulative use mileage, etc.

[0078] The cumulative use time is the total use time of the target battery from the time of being put into use to the current time. This parameter reflects the time accumulation of the battery in actual use, which can help determine the performance changes of the battery at different use stages, and thus provide a time dimension reference for the correction strategy. For example, the performance degradation rates of the target battery in the initial use stage and the later use stage are different, and the cumulative use time can be used to distinguish these stages.

[0079] The cumulative use mileage is the total driving mileage of the target battery in the actual use process. This parameter reflects the mileage accumulation of the battery in actual use, which can help determine the performance changes of the battery at different driving mileages, and thus provide a mileage dimension reference for the correction strategy. For example, the performance of the battery is different when driving for a short distance and for a long distance, and the cumulative use mileage can be used to distinguish these use scenarios.

[0080] The cumulative use time and the cumulative use mileage can reflect the performance changes of the battery in different use stages and scenarios, provide time and mileage dimension references for the correction strategy, and thus, in combination with the use situation parameters (including the cumulative use time and the cumulative use mileage), the first correction strategy, the second correction strategy, and the life simulation data, a more accurate correction strategy can be formulated according to the actual use situation of the target battery.

[0081] As an optional embodiment, after determining the target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy, and the life simulation data, the method further includes: in a case where the target correction strategy includes a charge-discharge correction index, determining a plurality of charge-discharge correction gradients corresponding to the target battery according to the charge-discharge correction index, wherein the charge-discharge correction index represents a correction degree of a charge-discharge parameter of the target battery; and sequentially correcting the charge-discharge parameter of the target battery according to the plurality of charge-discharge correction gradients until the plurality of charge-discharge correction gradients are processed to obtain the corrected target battery.

[0082] In this embodiment, after determining the target correction strategy corresponding to the target battery according to the first correction strategy, the second correction strategy, and the life simulation data, the specific steps are as follows.

[0083] The charge-discharge correction index is used to represent the degree of correction of the charge-discharge parameter of the target battery, reflects the adjustment intensity of the correction strategy on the battery charge-discharge process, and is usually a numerical value or a proportional factor.

[0084] The plurality of charge-discharge correction gradients are used to divide the correction process into a plurality of stages for gradual implementation according to the charge-discharge correction index. Each gradient represents a specific correction intensity to gradually adjust the charge-discharge parameter. By implementing the correction in stages, the impact on the performance of the target battery can be reduced, and the stability and safety of the correction process can be ensured.

[0085] The charge-discharge parameter is related to various parameters of the battery charge-discharge process, including the charge current, the discharge current, the charge voltage, the discharge voltage, the charge termination condition, the discharge cutoff condition, the charge-discharge rate, etc. These parameters directly affect the charge-discharge efficiency, the life, and the safety of the battery. By adjusting the charge-discharge parameter, the use performance of the battery can be optimized, and the use life can be prolonged.

[0086] The introduction of the charging and discharging correction index in the target correction strategy and the determination of the plurality of charging and discharging correction gradients based on the charging and discharging correction index can realize the phased and gradual adjustment of the charging and discharging parameters of the target battery, so as to avoid the problem of poor user experience when the charging and discharging parameters of the target battery are adjusted once and greatly, thereby ensuring the stability and safety of the correction process.

[0087] Based on the above embodiments and optional embodiments, an optional implementation is provided, which is specifically described below.

[0088] In the related art, the performance of the battery will gradually decrease during use, and if the battery is not corrected for charging and discharging, it will further cause overcharging or discharging, aggravate the imbalance of the internal chemical reaction of the battery, and further cause the battery performance to rapidly decrease, the service life to be shortened, the safety hazard to be increased, and other problems, which seriously affect the normal use and reliability of the battery. However, in the related art, when the battery charging and discharging correction strategy is determined, there is the technical problem of inaccurate determination of the battery charging and discharging correction strategy.

[0089] In view of the above problems, no effective solution has been proposed so far.

[0090] In view of this, the battery charging and discharging correction strategy determination method provided in the optional embodiment of the present application can also be referred to as a correction strategy determination method for the full life cycle health use of a power battery. Specifically, the charging and discharging rate is optimized based on the battery attenuation and the throughput or driving distance, so as to achieve the purpose of protecting the health use of the battery. In addition, by coupling the warranty simulation logic with the attenuation, the correction coefficient is given, which can effectively solve the technical problem of inaccurate determination of the battery charging and discharging correction strategy in the related art when the battery charging and discharging correction strategy is determined, so as to achieve the purpose of protecting the use of the battery, and at the same time, the full performance of the battery is ensured, and the poor user experience caused by performance mutation is avoided.

[0091] Figure 2 is a battery capacity attenuation schematic diagram in the optional embodiment of the present application, as Figure 2 shown, considering the attenuation of the target battery during use, if no corresponding correction is performed, due to the performance attenuation of the target battery (for example, the attenuation of the power battery of an electric vehicle), the corresponding use rate will gradually increase under the condition that the charging and discharging power is unchanged, and the attenuation of the battery cell will be aggravated, which is not conducive to the normal use of the target battery.

[0092] For example, the discharge rate becomes larger, the direct current resistance (DCR) continues to increase, the polarization increases, thereby causing the triggering of the fault threshold such as under-voltage. At the same time, the state of charge (SOC) denominator decreases due to attenuation, thereby causing the SOC jump phenomenon, by combining the use of the working condition, coupling the calendar and cycle attenuation, the state of health (SOH) correction coefficient is given, the SOC accuracy in the life cycle is improved, the power and economy during the battery life beginning of life (BOL) and the battery life end of life (EOL) slowly decrease with the battery attenuation, thereby not affecting the user driving experience, which is described in detail below.

[0093] S1, obtain first attenuation data and second attenuation data corresponding to the target battery, wherein the first attenuation data is performance attenuation data of the target battery in a non-running state, and the second attenuation data is performance attenuation data of the target battery in a running state;

[0094] For the performance attenuation of the target battery, the attenuation of the battery cell is taken as an example for specific description.

[0095] (1) Obtain calendar attenuation data (same as the above first attenuation data);

[0096] Obtain calendar attenuation data of different temperature ranges and different SOCs of the battery cell at normal temperature, high temperature, 50% SOC and 100% SOC.

[0097] (2) Obtain cycle attenuation data (same as the above second attenuation data).

[0098] Obtain the cycle data of the battery cell at normal temperature, and calculate the corresponding cumulative throughput under different attenuation rates to obtain the cycle attenuation data (i.e. cycle curve).

[0099] S2, determine a first correction strategy corresponding to the target battery according to the first attenuation data;

[0100] Figure 3 is a curve diagram of calendar attenuation at different temperatures and SOCs in an optional embodiment of the present application, as shown in Figure 3As shown in the figure, curves of cell calendar attenuation at 25℃, 45℃, 50% SOC and 100% SOC are shown, wherein the blue point represents the calendar attenuation at 25℃ and 50% SOC; the red point represents the calendar attenuation at 25℃ and 100% SOC; the green point represents the calendar attenuation at 45℃ and 50% SOC; and the purple point represents the calendar attenuation at 45℃ and 100% SOC. After obtaining the calendar attenuation data, based on the calendar attenuation data, the attenuation coefficient corresponding to the low-temperature section is fitted, and the first correction strategy of the available battery (the same as the target battery) is obtained. Table 1 is a table of available battery calendar aging temperature and SOC correction coefficients, as shown in Table 1, in order to fit the attenuation coefficients at different temperatures, that is, the first correction strategy includes attenuation correction coefficients at different temperatures and different SOCs.

[0101] Table 1

[0102]

[0103] S3, according to the second attenuation data, determining a second correction strategy corresponding to the target battery;

[0104] Figure 4 is the available battery cycle aging data in the optional embodiment of the application, as Figure 4 As shown in the figure, curves of cell calendar attenuation at 25℃, 45℃, 50% SOC and 100% SOC are shown, wherein the blue point represents the calendar attenuation at 25℃ and 50% SOC; the red point represents the calendar attenuation at 25℃ and 100% SOC; the green point represents the calendar attenuation at 45℃ and 50% SOC; and the purple point represents the calendar attenuation at 45℃ and 100% SOC. After obtaining the calendar attenuation data, based on the calendar attenuation data, the attenuation coefficient corresponding to the low-temperature section is fitted, and the first correction strategy of the available battery (the same as the target battery) is obtained. Table 1 is a table of available battery calendar aging temperature and SOC correction coefficients, as shown in Table 1, in order to fit the attenuation coefficients at different temperatures, that is, the first correction strategy includes attenuation correction coefficients at different temperatures and different SOCs.

[0105] Table 2

[0106]

[0107] In combination Figure 3 With Figure 4 The calendar attenuation and cycle attenuation of the battery cell in the life cycle can be obtained. Through the fitted attenuation coefficients at different temperatures, the calendar and cycle attenuation under the full temperature section can be obtained.

[0108] S4, determining life simulation data corresponding to the target battery;

[0109] Specifically, S4 further comprises: determining a plurality of test environment regions and a plurality of use condition parameters corresponding to the target battery; for each use condition parameter in the plurality of use condition parameters, determining region simulation data corresponding to the plurality of test environment regions respectively, to obtain a plurality of region simulation data corresponding to the plurality of use condition parameters respectively; and determining life simulation data corresponding to the target battery according to the plurality of region simulation data corresponding to the plurality of use condition parameters respectively.

[0110] Figure 5 is a predetermined region simulation attenuation situation diagram based on the quality assurance requirement 1 in the optional embodiment of the present application, Figure 6 is a predetermined region simulation attenuation situation diagram based on the quality assurance requirement 2 in the optional embodiment of the present application, Figure 7 is a predetermined region simulation attenuation situation diagram based on the quality assurance requirement 3 in the optional embodiment of the present application, as shown in Figure 5 , Figure 6 , and Figure 7 , which respectively simulate the attenuation situation in a plurality of predetermined regions (the same as the above-mentioned plurality of test environment regions) based on the quality assurance requirements of 2 years and 50,000 kilometers, 4 years and 100,000 kilometers, and 8 years and 150,000 kilometers. Among them, the use condition parameters include: the quality assurance requirement 1 is 2 years and 50,000 kilometers, the quality assurance requirement 2 is 4 years and 100,000 kilometers, and the quality assurance requirement 3 is 8 years and 150,000 kilometers; the plurality of predetermined regions include a first temperature region, a second temperature region, a third temperature region, a fourth temperature region, and a fifth temperature region; the first temperature region to the fifth temperature region are divided in ascending order of temperature, that is, the temperature of the first temperature region gradually increases to the temperature of the fifth temperature region, and the temperature of the first temperature region is relatively the lowest, and the temperature of the fifth temperature region is relatively the highest.

[0111] As shown in Figure 5 , Figure 6 , and Figure 7 , the green dashed line represents the simulation attenuation situation of the first temperature region, the blue dashed line represents the simulation attenuation situation of the second temperature region, the fluorescent green dashed line represents the simulation attenuation situation of the third temperature region, the orange dashed line represents the simulation attenuation situation of the fourth temperature region, and the red dashed line represents the simulation attenuation situation of the fifth temperature region.

[0112] S5, determining a first cycle ratio and a second cycle ratio corresponding to the target battery according to the life simulation data, wherein the first cycle ratio represents the proportion of the non-operation cycle of the target battery in the battery life cycle, and the second cycle ratio represents the proportion of the operation cycle of the target battery in the battery life cycle;

[0113] S6, adjusting the first correction strategy according to the first cycle ratio to obtain an adjusted first correction strategy;

[0114] Specifically, S6 further comprises: in the case that the first cycle ratio is multiple, determining multiple non-operation working condition parameters corresponding to the target battery; and determining multiple first cycle ratios corresponding to the target battery according to the multiple non-operation working condition parameters and the life simulation data, wherein the multiple first cycle ratios correspond to the multiple non-operation working condition parameters one by one.

[0115] S7, adjusting the second correction strategy according to the second cycle ratio to obtain an adjusted second correction strategy;

[0116] Specifically, S7 further comprises: determining a user preference parameter corresponding to the target battery; and determining a second cycle ratio corresponding to the target battery according to the user preference parameter and the life simulation data.

[0117] S8, determining a target correction strategy corresponding to the target battery according to the adjusted first correction strategy and the adjusted second correction strategy;

[0118] Specifically:

[0119] In combination with the life simulation, the calendar attenuation is obtained by decomposing the storage ratio (the same as the first cycle ratio) at different regions and different SOCs in the life cycle, and the cycle attenuation is obtained according to the user preference parameter, such as user habits, by decomposing the charging ratio (the same as the second cycle ratio). Furthermore, in combination with the calendar attenuation and the cycle attenuation ratio, and in combination with the warranty requirement, the correction coefficient (the same as the charge-discharge correction index) is determined according to different mileage or time. That is, in combination with the calendar attenuation and the cycle attenuation in the life cycle, the coupling coefficient (the same as the charge-discharge correction index) is determined to give a certain correction to ensure the healthy use of the battery. The target correction strategy includes the coupling coefficient.

[0120] Specifically, the life simulation data, such as the warranty simulation curve under a given working condition, is determined to decompose the storage time ratio (the same as the first cycle ratio) at different temperatures and different SOCs in the life cycle of the battery, and the corresponding charge-discharge frequency ratio is decomposed according to the user working condition. Thus, the calendar time and cycle time ratio (the same as the second cycle ratio) is obtained. Table 3 is the storage working condition weighting coefficient, that is, the first cycle ratio, and Table 4 is the charging working condition weighting coefficient, that is, the second cycle ratio. As shown in Tables 3 and 4, the storage time and charging frequency in the life cycle of a certain region at different temperatures and different SOCs are decomposed according to the warranty simulation data, so that the calendar attenuation and the cycle attenuation can be correspondingly obtained.

[0121] Table 3

[0122]

[0123] Table 4

[0124]

[0125] S9, in the case that the target correction strategy includes the charge-discharge correction index, determining a plurality of charge-discharge correction gradients corresponding to the target battery according to the charge-discharge correction index, wherein the charge-discharge correction index represents a correction degree of the charge-discharge parameter of the target battery;

[0126] S10, correcting the charge-discharge parameter of the target battery according to the plurality of charge-discharge correction gradients in sequence until the plurality of charge-discharge correction gradients are processed, and obtaining the corrected target battery.

[0127] Table 5 is a correction coefficient at different times / mileages. As shown in Table 5, the correction coefficient at different times / mileages (same as the charge-discharge correction index) is coupled by combining the above calendar and cycle attenuation logic. Specifically, according to the time and mileage first to arrive, the corresponding correction coefficient is given.

[0128] Table 5

[0129] Warranty Customer SOH indicator Estimate SOH / time first Estimate SOH / mileage first Time / mileage simultaneously 2 years 50,000 90％ 97.13％ 98.13％ 95.26％ 4 years 100,000 81％ 94.27％ 96.25％ 90.52％ 8 years 150,000 70％ 88.59％ 93.30％ 82.88％ / / Realignment true, maximum rate 1% per month Realignment true, maximum rate 1% per month

[0130] During use, the mileage or throughput is recorded, and the corresponding coefficient (same as the charge-discharge correction index) is given when the corresponding mileage or throughput is reached, and the battery discharge power map and the charge rate are limited to meet the requirements of protecting the normal use of the battery.

[0131] Meanwhile, in order to improve the user experience, if the correction amplitude is large, it is slowly reduced according to a certain proportion, for example, the correction rate changes according to the month (same as the charge-discharge correction gradient), until the correction point is reached.

[0132] Through the above optional implementation manner, at least the following beneficial effects can be achieved:

[0133] (1) Compared with the related art, the present application can further predict the performance change trend and life cycle characteristics of the target battery under different use conditions by determining the charge-discharge correction strategy of the target battery in the non-running state and the charge-discharge correction strategy in the charge-discharge cycle use process, combining the life simulation data of the target battery, so as to obtain a more actual charge-discharge correction strategy, to avoid excessive charge-discharge of the target battery, ensure the healthy use of the battery, and further solve the technical problem of inaccurate determination of the battery charge-discharge correction strategy in the related art.

[0134] (2) Compared with the related art, the application determines the non-operation period proportion and operation period proportion of the target battery through life simulation data, can clearly determine the time distribution of the battery in different states, and adjusts the first correction strategy according to the non-operation period proportion and adjusts the second correction strategy according to the operation period proportion, finally, the adjusted first and second correction strategies can accurately and accurately formulate the charging and discharging correction strategy suitable for the target battery, so as to realize the healthy use and life extension of the target battery under different working conditions, and improve the overall performance and reliability of the target battery.

[0135] (3) Compared with the related art, the application can simulate the performance and life change of the target battery under different environments and use conditions by determining the multiple test environment regions and multiple use condition parameters corresponding to the target battery and the corresponding region simulation data, so as to more accurately predict the performance of the battery in actual use, and determine more accurate life simulation data.

[0136] (4) Compared with the related art, the application can reflect the performance change of the battery under different use stages and scenes by determining the cumulative use time and cumulative use mileage, provide time and mileage dimension reference for the correction strategy, so as to combine the use situation parameters (including cumulative use time and cumulative use mileage), the first correction strategy, the second correction strategy and the life simulation data, and formulate more accurate correction strategy according to the actual use of the target battery.

[0137] (5) Compared with the related art, the application introduces the charging and discharging correction index into the target correction strategy, and determines multiple charging and discharging correction gradients according to the charging and discharging correction index, can realize the phased and gradual adjustment of the charging and discharging parameters of the target battery, so as to avoid the problem that the user experience is not good when the charging and discharging parameters of the target battery are adjusted once, so as to ensure the stability and safety of the correction process.

[0138] (6) Compared with the related art, the application is connected with the warranty life simulation, decomposes the calendar attenuation and cycle attenuation in the life cycle, so as to give a more actual attenuation coefficient. At the stage of reaching the corresponding time or mileage, the correction is carried out according to the attenuation coefficient, so as to ensure the healthy operation of the battery in the life cycle, avoid the increase of charging and discharging rate due to normal attenuation, so as to avoid the increase of charging and discharging rate due to normal attenuation.

[0139] (7) Compared with the related art, the application decomposes the proportion of calendar attenuation and cycle attenuation at different temperatures and different SOCs in the life cycle by using factors such as regional temperature and user usage habits, and then gives the corresponding coefficient by reaching the mileage or throughput in the actual use process to achieve the use under the battery boundary condition, so that the accuracy of the correction strategy is higher, and the strategy is more reasonable, thereby not only ensuring the healthy use of the battery, but also ensuring the battery performance, and improving the user experience.

[0140] It should be noted that, for each of the above method embodiments, in order to simply describe, it is expressed as a series of action combinations, but those skilled in the art should know that the application is not limited by the order of the described actions, because according to the application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary for the application.

[0141] From the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software and the necessary general hardware platform, and of course it can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for making a terminal device (which can be a mobile phone, computer, server, or network device, etc.) execute the method of each embodiment of the application.

[0142] Embodiment 2

[0143] According to the embodiments of the application, a device for implementing the above battery charging and discharging correction strategy determination method is also provided, Figure 8 is a structural block diagram of the battery charging and discharging correction strategy determination device according to the embodiments of the application, as Figure 8 shown, the device includes an acquisition module 802, a first determination module 804, a second determination module 806, a third determination module 808 and a fourth determination module 810, which will be described in detail below.

[0144] The acquisition module 802 is configured to acquire first attenuation data and second attenuation data corresponding to the target battery, wherein the first attenuation data is performance attenuation data of the target battery in a non-operation state, and the second attenuation data is performance attenuation data of the target battery in an operation state.

[0145] It should be noted that the acquisition module 802, the first determination module 804, the second determination module 806, the third determination module 808, and the fourth determination module 810 correspond to steps S102 to S110 in the method for determining a battery charging and discharging correction strategy, and the multiple modules have the same instances and application scenarios as the corresponding steps, but are not limited to the content disclosed in the above embodiment 1.

[0146] Embodiment 3

[0147] According to another aspect of the embodiments of the present application, an electronic device is also provided, which includes a processor and a memory for storing processor-executable instructions, wherein the processor is configured to execute the instructions to implement the battery charging and discharging correction strategy determination method of any one of the above.

[0148] Embodiment 4

[0149] According to another aspect of the embodiments of the present application, a computer-readable storage medium is also provided, which, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the battery charging and discharging correction strategy determination method of any one of the above.

[0150] The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0151] In the above-mentioned embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0152] In several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented by other means. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and actual implementation can have another division mode, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed each other can be through some interface, indirect coupling or communication connection between units or modules, which can be electrical or other forms.

[0153] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or they can be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0154] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0155] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0156] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A method for determining a battery charge / discharge correction strategy, characterized in that, include: Acquire first attenuation data and second attenuation data corresponding to the target battery, wherein the first attenuation data is the performance attenuation data of the target battery in a non-operating state, and the second attenuation data is the performance attenuation data of the target battery in an operating state; Based on the first attenuation data, a first correction strategy corresponding to the target battery is determined; Based on the second attenuation data, a second correction strategy corresponding to the target battery is determined; Determine the lifetime simulation data corresponding to the target battery; Based on the first correction strategy, the second correction strategy, and the lifetime simulation data, a target correction strategy corresponding to the target battery is determined.

2. The method according to claim 1, characterized in that, The step of determining the target correction strategy corresponding to the target battery based on the first correction strategy, the second correction strategy, and the lifetime simulation data includes: Based on the life simulation data, the first cycle percentage and the second cycle percentage corresponding to the target battery are determined, wherein the first cycle percentage represents the proportion of the non-operation cycle of the target battery to the battery life, and the second cycle percentage represents the proportion of the operation cycle of the target battery to the battery life. Based on the proportion of the first cycle, the first correction strategy is adjusted to obtain the adjusted first correction strategy; Based on the proportion of the second period, the second correction strategy is adjusted to obtain the adjusted second correction strategy; Based on the adjusted first correction strategy and the adjusted second correction strategy, a target correction strategy corresponding to the target battery is determined.

3. The method according to claim 2, characterized in that, Based on the lifetime simulation data, the percentage of the first cycle corresponding to the target battery is determined, including: When the proportion of the first cycle is multiple, multiple non-operational condition parameters corresponding to the target battery are determined; Based on the multiple non-operational condition parameters and the lifetime simulation data, a multiple first cycle percentage corresponding to the target battery is determined, wherein the multiple first cycle percentages correspond one-to-one with the multiple non-operational condition parameters.

4. The method according to claim 2, characterized in that, Determining the second cycle percentage corresponding to the target battery based on the lifetime simulation data includes: Determine the user preference parameters corresponding to the target battery; Based on the user preference parameters and the lifetime simulation data, the percentage of the second cycle corresponding to the target battery is determined.

5. The method according to claim 1, characterized in that, The determination of the lifetime simulation data corresponding to the target battery includes: Determine multiple test environment areas and multiple usage condition parameters corresponding to the target battery; For each of the multiple usage condition parameters, determine the regional simulation data corresponding to the multiple test environment regions respectively, and obtain multiple regional simulation data corresponding to the multiple usage condition parameters respectively; Based on the simulation data of multiple regions corresponding to the multiple usage condition parameters, the life simulation data corresponding to the target battery is determined.

6. The method according to claim 1, characterized in that, The step of determining the target correction strategy corresponding to the target battery based on the first correction strategy, the second correction strategy, and the lifetime simulation data includes: Determine the usage scenario parameters corresponding to the target battery, wherein the usage scenario parameters include cumulative usage time and cumulative usage mileage; Based on the usage scenario parameters, the first correction strategy, the second correction strategy, and the lifetime simulation data, a target correction strategy corresponding to the target battery is determined.

7. The method according to any one of claims 1 to 6, characterized in that, After determining the target correction strategy corresponding to the target battery based on the first correction strategy, the second correction strategy, and the lifetime simulation data, the method further includes: When the target correction strategy includes a charge-discharge correction index, multiple charge-discharge correction gradients corresponding to the target battery are determined based on the charge-discharge correction index, wherein the charge-discharge correction index represents the degree of correction to the charge-discharge parameters of the target battery; The charging and discharging parameters of the target battery are sequentially corrected according to the multiple charging and discharging correction gradients until the multiple charging and discharging correction gradients are completed, resulting in the corrected target battery.

8. A battery charge / discharge correction strategy determination device, characterized in that, include: The acquisition module is used to acquire first attenuation data and second attenuation data corresponding to the target battery, wherein the first attenuation data is the performance attenuation data of the target battery in a non-operating state, and the second attenuation data is the performance attenuation data of the target battery in an operating state; The first determining module is used to determine a first correction strategy corresponding to the target battery based on the first attenuation data. The second determining module is used to determine a second correction strategy corresponding to the target battery based on the second attenuation data. The third determining module is used to determine the lifetime simulation data corresponding to the target battery; The fourth determining module is used to determine the target correction strategy corresponding to the target battery based on the first correction strategy, the second correction strategy, and the lifetime simulation data.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the battery charge / discharge correction strategy determination method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the battery charge / discharge correction strategy determination method as described in any one of claims 1 to 7.

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