Lithium battery module management method and related device

Abstract

The embodiment of the invention discloses a lithium battery module management method and a related device, which are applied to electronic equipment, the electronic equipment is in communication connection with a lithium battery module, and the lithium battery module comprises a plurality of batteries. The method comprises the following steps: monitoring the first battery to obtain a first residual electric quantity; the first battery is any battery in the plurality of batteries; when the first residual electric quantity is a preset electric quantity, acquiring a first charge-discharge characteristic curve, a first aging attenuation curve and first temperature change data of the first battery; and calibrating the first residual electric quantity according to the first charge-discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain a second residual electric quantity, and replacing the first residual electric quantity with the second residual electric quantity. According to the embodiment of the invention, the estimation accuracy of the battery capacity can be improved, so that the stability of an energy storage system is improved.

Description

Technical Field

[0001] The present application relates to the field of new energy technology or battery technology, and specifically to a lithium battery module management method and related devices. Background Art

[0002] Currently, lithium battery modules in series applications face voltage differential issues caused by differences in single-cell capacity, which can easily lead to thermal runaway risks after long-term cycling. Traditional SOC (State of Charge) algorithms lack accuracy, resulting in large errors in battery capacity estimation and affecting the stability of energy storage systems. Therefore, improving the accuracy of battery capacity estimation is an urgent issue that needs to be addressed. Summary of the Invention

[0003] The embodiments of the present application provide a lithium battery module management method and related devices, which can improve the accuracy of battery capacity estimation.

[0004] In a first aspect, an embodiment of the present application provides a lithium battery module management method, which is applied to an electronic device, wherein the electronic device is communicatively connected to a lithium battery module, and the lithium battery module includes multiple batteries; the method includes:

[0005] monitoring the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries;

[0006] When the first remaining power is a preset power, obtaining a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery;

[0007] The first remaining capacity is calibrated according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and the second remaining capacity replaces the first remaining capacity.

[0008] In a second aspect, an embodiment of the present application provides a lithium battery module management device, which is applied to an electronic device, wherein the electronic device is communicatively connected to a lithium battery module, and the lithium battery module includes a plurality of batteries; the device includes: a monitoring unit, an acquisition unit, and a calibration unit, wherein:

[0009] The monitoring unit is configured to monitor the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries;

[0010] The acquisition unit is configured to acquire a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery when the first remaining power is a preset power;

[0011] The calibration unit is configured to calibrate the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and replace the first remaining capacity with the second remaining capacity.

[0012] In a third aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the steps in the first aspect of the embodiment of the present application.

[0013] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables a computer to execute some or all of the steps described in the first aspect of the embodiment of the present application.

[0014] In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0015] The implementation of the embodiments of this application has the following beneficial effects:

[0016] It can be seen that the lithium battery module management method and related devices described in the embodiments of the present application are applied to electronic equipment, where the electronic equipment is communicatively connected to the lithium battery module, and the lithium battery module includes multiple batteries; the first battery is monitored to obtain a first remaining power; the first battery is any battery among the multiple batteries, and when the first remaining power is a preset power, the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data of the first battery are obtained, and the first remaining power is calibrated according to the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain a second remaining power, and the second remaining power replaces the first remaining power, and for any battery in the lithium battery module, when its remaining power reaches the preset power, the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data can be used to automatically calibrate the remaining power, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 This is a flow chart of a lithium battery module management method provided in an embodiment of the present application;

[0019] Figure 2 This is a schematic structural diagram of a lithium battery module provided in an embodiment of the present application;

[0020] Figure 3 This is a schematic diagram of the architecture of a lithium battery module management system provided in an embodiment of the present application;

[0021] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0022] Figure 5 This is a structural diagram of another electronic device provided in an embodiment of the present application;

[0023] Figure 6 This is a block diagram of the functional units of a lithium battery module management device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0026] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0027] The following is a detailed introduction to the embodiments of the present application.

[0028] In the embodiment of the present application, SOC (State of Charge) is the state of charge of the battery, that is, the remaining power. It represents the ratio of the remaining dischargeable power to the fully charged power after the battery has been used for a period of time or stored for a long time.

[0029] In the embodiment of the present application, the charge and discharge characteristic curve is a curve drawn with the battery cell parameters such as time, capacity, SOC, and voltage involved in charge and discharge as coordinates. It plays an important role in understanding battery performance and guiding battery use and management, for example, evaluating battery performance (battery stability evaluation parameters).

[0030] In the embodiment of the present application, the aging attenuation curve, that is, the battery aging attenuation curve, can be used to describe the trend of the battery capacity gradually decreasing with the use time. This attenuation usually follows a certain rule. For example, the aging attenuation curve can be a capacity attenuation curve, which is usually presented as a downward curve, indicating that the battery capacity decreases with time or the number of uses.

[0031] In related technologies, lithium battery modules have a pressure difference problem caused by differences in cell capacity when used in series, which can easily lead to thermal runaway risks after long-term cycling. The embodiments of the present application are applied to electronic devices, where the electronic device is communicatively connected to a lithium battery module comprising multiple cells; the following operations are performed:

[0032] monitoring the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries;

[0033] When the first remaining power is a preset power, obtaining a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery;

[0034] The first remaining capacity is calibrated according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and the second remaining capacity replaces the first remaining capacity.

[0035] In an embodiment of the present application, an electronic device is communicatively connected to a lithium battery module, and the lithium battery module includes multiple batteries; a first battery is monitored to obtain a first remaining power; the first battery is any one of the multiple batteries, and when the first remaining power is a preset power, the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data of the first battery are obtained, and the first remaining power is calibrated according to the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain a second remaining power, and the second remaining power replaces the first remaining power. For any battery in the lithium battery module, when its remaining power reaches a preset power, the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data can be used to automatically calibrate the remaining power, thereby making the battery capacity estimation more accurate, improving the stability of the lithium battery module, and ensuring the accuracy of the single cell capacity estimation, thereby avoiding the risk of thermal runaway caused by long-term circulation of the lithium battery module.

[0036] See also Figure 1 , Figure 1 This is a flow chart of a lithium battery module management method provided in an embodiment of the present application, which is applied to an electronic device, wherein the electronic device is communicatively connected to a lithium battery module, and the lithium battery module includes multiple batteries; the lithium battery module management method includes:

[0037] 101. Monitor the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries.

[0038] In the embodiment of this application, Figure 2 As shown, the lithium battery module may include multiple batteries, and the batteries may all be lithium batteries. Figure 3 As shown, the electronic device and the lithium battery module are connected in communication, for example, Figure 4 As shown, the electronic device may include a lithium battery module, that is, the lithium battery module may be integrated into the electronic device, such as the electronic device being communicatively connected to the lithium battery module via a processor.

[0039] Among them, the electronic device may include any device with communication function. Specifically, the electronic device may include at least one of the following: mobile phone, tablet computer, switch cabinet, power equipment, smart home device, smart car, server, edge device, etc., which is not limited here.

[0040] Among them, electronic devices can be applied to energy storage systems in smart grids.

[0041] In a specific implementation, taking the first battery as an example, the first battery is any battery among the multiple batteries, and the first battery can be monitored to obtain a first remaining power.

[0042] In a specific implementation, during the charging process of the first battery, the first battery can be monitored to obtain the first remaining power, or when the first battery is not charged, the first battery can also be monitored to obtain the first remaining power.

[0043] 102. When the first remaining power is a preset power, obtain a first charge and discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery.

[0044] The preset power level may be preset or set by the system by default.

[0045] In a specific implementation, when the first remaining power is the preset power, a first charge and discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery can be obtained.

[0046] For example, a first charge-discharge characteristic curve of a first battery for a preset time period, a first aging attenuation curve for a preset time period, and first temperature change data for a preset time period can be obtained. The preset time period can be pre-set or system default, and the preset time period can be the time period of the most recent charging process.

[0047] 103. Calibrate the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and replace the first remaining capacity with the second remaining capacity.

[0048] In an embodiment of the present application, the first remaining power can be calibrated according to the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain the second remaining power, and the second remaining power can replace the first remaining power. In this way, for any battery in the lithium battery module, when its remaining power reaches a preset power, the remaining power can be automatically calibrated using the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module.

[0049] In some possible examples, step 103 of calibrating the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity may be implemented as follows:

[0050] Obtaining first battery attribute information corresponding to the first battery;

[0051] Obtaining a charge-discharge characteristic curve set and an aging-attenuation curve set corresponding to the first battery attribute information, wherein the charge-discharge characteristic curve set includes a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponding to a battery stability assessment parameter; and the aging-attenuation curve set includes a plurality of aging-attenuation curves, each aging-attenuation curve corresponding to a battery attenuation parameter;

[0052] The first remaining capacity is calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity.

[0053] The first battery attribute information may include at least one of the following: battery model, battery capacity, battery material, battery number, etc., which are not limited here.

[0054] In a specific implementation, first battery attribute information corresponding to the first battery can be obtained. Different battery attribute information can correspond to different charge-discharge characteristic curve sets and aging attenuation curve sets. The charge-discharge characteristic curve sets and aging attenuation curve sets can be preset or set by system default. The charge-discharge characteristic curve sets and aging attenuation curve sets can be obtained by the manufacturer based on battery measurements. The charge-discharge characteristic curve sets and aging attenuation curve sets can be preset or set by system default.

[0055] The charge-discharge characteristic curve set may include a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponds to a battery stability evaluation parameter, and the battery stability evaluation parameter is used to evaluate the charging stability of the battery.

[0056] The aging attenuation curve set may include multiple aging attenuation curves, each aging attenuation curve corresponds to a battery attenuation parameter, and the battery attenuation parameter may represent the attenuation degree of the first battery.

[0057] Specifically, a first mapping relationship between preset battery attribute information and a charge-discharge characteristic curve set, and a second mapping relationship between battery attribute information and an aging attenuation curve set can be pre-stored. Then, the charge-discharge characteristic curve set corresponding to the first battery attribute information can be obtained based on the first mapping relationship, and the aging attenuation curve set corresponding to the first battery attribute information can be obtained based on the second mapping relationship.

[0058] Next, the first remaining power can be calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain the second remaining power. In this way, for any battery in the lithium battery module, when its remaining power reaches the preset power, the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data can be used to automatically calibrate the remaining power, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module.

[0059] In some possible examples, the above step of calibrating the first remaining capacity according to the multiple charge and discharge characteristic curves, the multiple charge and discharge characteristic curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity can be implemented as follows:

[0060] determining a first adjustment parameter according to the plurality of charge and discharge characteristic curves, the first charge and discharge characteristic curve, and the first temperature change data;

[0061] determining a second adjustment parameter according to the plurality of aging attenuation curves, the first aging attenuation curve, and the first temperature change data;

[0062] The first remaining power is calibrated according to the first adjustment parameter and the second adjustment parameter to obtain the second remaining power.

[0063] In a specific implementation, the first adjustment parameter can be determined based on multiple charge and discharge characteristic curves, the first charge and discharge characteristic curve and the first temperature change data, that is, the actual charge and discharge characteristic curve can be compared with the manufacturer's test data (multiple charge and discharge characteristic curves) to identify the battery stability evaluation parameter.

[0064] Accordingly, the second adjustment parameter can be determined based on multiple aging attenuation curves and the first aging attenuation curve, that is, the actual aging attenuation curve (first aging attenuation curve) can be compared with the manufacturer's test data (multiple aging attenuation curves) to identify the battery attenuation parameter.

[0065] The value range of the first adjustment parameter can be preset or system default, for example, the value range of the first adjustment parameter can be -0.01 to 0.01. The value range of the second adjustment parameter can be preset or system default, for example, the value range of the second adjustment parameter can be -0.01 to 0.01.

[0066] Finally, the first remaining power can be calibrated according to the first adjustment parameter and the second adjustment parameter to obtain the second remaining power. For example, the second remaining power = (1 + first adjustment parameter) * (1 + second adjustment parameter) * first remaining power. For another example, the second remaining power = (1 + first adjustment parameter) * (1 + second adjustment parameter) * first remaining power. In this way, for any battery in the lithium battery module, when its remaining power reaches a preset power, the remaining power can be automatically calibrated using the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module.

[0067] In some possible examples, the first temperature change data includes temperature data for a preset time period; and the above step of determining the first adjustment parameter based on the multiple charge-discharge characteristic curves, the first charge-discharge characteristic curve, and the first temperature change data may be implemented as follows:

[0068] determining an average temperature value of the first temperature change data;

[0069] Performing fitting based on the first temperature change data to obtain a temperature change straight line;

[0070] determining a first slope of the temperature variation line;

[0071] determining a first preset matching value according to the first slope and the average temperature value;

[0072] matching the first charge-discharge characteristic curve with each charge-discharge characteristic curve in the charge-discharge characteristic curve set to obtain a plurality of first matching values;

[0073] Selecting a matching value greater than the first preset matching value from the multiple first matching values ​​to obtain at least one target first matching value, and obtaining at least one battery stability evaluation parameter corresponding to the at least one target first matching value;

[0074] The first adjustment parameter is determined according to the at least one battery stability evaluation parameter.

[0075] Among them, the first temperature change data may include temperature data of a preset time period. For example, the temperature data of the preset time period may include multiple temperature data, and each temperature data may include a sampling moment. Specifically, a temperature sensor may be used to obtain the temperature data of the first battery according to a preset time interval. The preset time interval may be pre-set or system default.

[0076] In a specific implementation, the average temperature value of the first temperature change data can be calculated and determined. Since the first temperature change data can include multiple temperature data, and each temperature data can include a sampling time, each temperature data and the corresponding sampling time can be regarded as a coordinate point. In this way, multiple coordinate points can be obtained, and the horizontal axis of each coordinate point is time, and the vertical axis is temperature data. Based on multiple coordinate points, fitting can be performed to obtain a temperature change straight line, that is, the first slope of the temperature change straight line can be determined. The first slope is used to reflect the working stability of the battery. Due to different temperatures, the characteristics of the battery are different. Furthermore, the first preset matching value can be determined based on the first slope and the average temperature value, that is, the corresponding first preset matching value is determined based on the battery working stability and the battery characteristics.

[0077] Next, the first charge-discharge characteristic curve can be matched with each charge-discharge characteristic curve in the charge-discharge characteristic curve set to obtain multiple first matching values. Then, a matching value greater than a first preset matching value from the multiple first matching values ​​is selected to obtain at least one target first matching value, and at least one battery stability evaluation parameter corresponding to the at least one target first matching value is obtained. Finally, a first adjustment parameter can be determined based on the at least one battery stability evaluation parameter. For example, a mean of the at least one battery stability evaluation parameter can be determined to obtain a first mean. A mapping relationship between a preset mean and an adjustment parameter can also be pre-stored. According to the mapping relationship between the preset mean and the adjustment parameter, the first adjustment parameter corresponding to the first mean can be determined based on the mapping relationship. The first adjustment parameter can be determined based on the multiple charge-discharge characteristic curves, the first charge-discharge characteristic curve, and the first temperature change data. That is, the actual charge-discharge characteristic curve can be compared with the manufacturer's test data (multiple charge-discharge characteristic curves) to identify the battery stability evaluation parameter, and the corresponding adjustment parameter can be determined based on the battery stability evaluation parameter. This helps to improve the accuracy of battery capacity estimation and ensure the stability of the energy storage system.

[0078] In some possible examples, the above step of determining the first preset matching value according to the first slope and the average temperature value may be implemented as follows:

[0079] determining a reference matching value corresponding to the average temperature value;

[0080] determining a first optimization parameter corresponding to the first slope;

[0081] The reference matching value is optimized according to the first optimization parameter to obtain the first preset matching value.

[0082] In a specific implementation, a mapping relationship between a preset temperature and a matching value can be pre-stored, and then, a reference matching value corresponding to the average temperature value can be determined based on the mapping relationship. A mapping relationship between a preset slope and an optimization parameter can also be pre-stored, and the value range of the optimization parameter can be preset or system defaulted. For example, the value range of the optimization parameter is -0.1 to 0.1, and then, a first optimization parameter corresponding to the first slope can be determined based on the mapping relationship. Finally, the reference matching value can be optimized according to the first optimization parameter to obtain a first preset matching value. For example, the first preset matching value = (1 + first optimization parameter) * reference matching value. The first slope is used to reflect the working stability of the battery. Due to different temperatures, the characteristics of the battery are different. Then, the first preset matching value can be determined according to the first slope and the average temperature value, that is, the corresponding first preset matching value is determined based on the battery working stability and the battery characteristics.

[0083] In some possible examples, the above step of determining the second adjustment parameter according to the multiple aging attenuation curves and the first aging attenuation curve may be implemented as follows:

[0084] Matching the first aging attenuation curve with each of the plurality of aging attenuation curves to obtain a plurality of second matching values;

[0085] Selecting a matching value greater than a second preset matching value from the plurality of second matching values ​​to obtain at least one target second matching value, and obtaining at least one battery attenuation parameter corresponding to the at least one target second matching value;

[0086] The second adjustment parameter is determined according to the at least one battery degradation parameter.

[0087] Among them, the second preset matching value can be pre-set or system default, the second preset matching value can be related to the first slope (for example, the mapping relationship between the preset slope and the matching value can be pre-stored), or the second preset matching value can be related to the average temperature value (for example, the mapping relationship between the preset temperature and the matching value can be pre-stored).

[0088] In a specific implementation, the first aging attenuation curve can be matched with each aging attenuation curve in the multiple aging attenuation curves to obtain multiple second matching values, and then a matching value greater than the second preset matching value in the multiple second matching values ​​is selected to obtain at least one target second matching value, and at least one battery attenuation parameter corresponding to the at least one target second matching value is obtained. Finally, a second adjustment parameter can be determined based on the at least one battery attenuation parameter, and the mean of the at least one battery attenuation parameter can be determined to obtain a second mean. Then, the second adjustment parameter corresponding to the second mean can be determined based on the mapping relationship. In this way, the second adjustment parameter can be determined based on the multiple aging attenuation curves and the first aging attenuation curve, that is, the actual aging attenuation curve (first aging attenuation curve) can be compared with the manufacturer's test data (multiple aging attenuation curves) to identify the battery attenuation parameter, and the mapping relationship between the preset battery attenuation parameter and the adjustment parameter can be pre-stored, and the corresponding adjustment parameter can be determined based on the battery, thereby helping to improve the accuracy of battery capacity estimation and, thereby, ensuring the stability of the energy storage system.

[0089] It can be seen that the lithium battery module management method described in the embodiment of the present application is applied to an electronic device, where the electronic device is communicatively connected to the lithium battery module, and the lithium battery module includes multiple batteries; the first battery is monitored to obtain a first remaining power; the first battery is any battery among the multiple batteries, and when the first remaining power is a preset power, the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data of the first battery are obtained, and the first remaining power is calibrated according to the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain a second remaining power, and the second remaining power replaces the first remaining power, and for any battery in the lithium battery module, when its remaining power reaches a preset power, the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data can be used to automatically calibrate the remaining power, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module.

[0090] See also Figure 5 , Figure 5 1 is a structural diagram of another electronic device provided in an embodiment of the present application. The electronic device includes a processor, a memory, a communication interface, and one or more programs. The one or more programs are stored in the memory and are configured to be executed by the processor. In the embodiment of the present application, the electronic device is communicatively connected to a lithium battery module, and the lithium battery module includes multiple batteries. The program includes instructions for executing the following steps:

[0091] monitoring the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries;

[0092] When the first remaining power is a preset power, obtaining a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery;

[0093] The first remaining capacity is calibrated according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and the second remaining capacity replaces the first remaining capacity.

[0094] In some possible examples, in terms of calibrating the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity, the program includes instructions for executing the following steps:

[0095] Obtaining first battery attribute information corresponding to the first battery;

[0096] Obtaining a charge-discharge characteristic curve set and an aging-attenuation curve set corresponding to the first battery attribute information, wherein the charge-discharge characteristic curve set includes a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponding to a battery stability assessment parameter; and the aging-attenuation curve set includes a plurality of aging-attenuation curves, each aging-attenuation curve corresponding to a battery attenuation parameter;

[0097] The first remaining capacity is calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity.

[0098] In some possible examples, in terms of calibrating the first remaining capacity according to the multiple charge and discharge characteristic curves, the multiple charge and discharge characteristic curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity, the program includes instructions for performing the following steps:

[0099] determining a first adjustment parameter according to the plurality of charge and discharge characteristic curves, the first charge and discharge characteristic curve, and the first temperature change data;

[0100] determining a second adjustment parameter according to the plurality of aging attenuation curves and the first aging attenuation curve;

[0101] The first remaining power is calibrated according to the first adjustment parameter and the second adjustment parameter to obtain the second remaining power.

[0102] In some possible examples, the first temperature change data includes temperature data for a preset time period; and in determining the first adjustment parameter based on the multiple charge-discharge characteristic curves, the first charge-discharge characteristic curve, and the first temperature change data, the program includes instructions for executing the following steps:

[0103] determining an average temperature value of the first temperature change data;

[0104] Performing fitting based on the first temperature change data to obtain a temperature change straight line;

[0105] determining a first slope of the temperature variation line;

[0106] determining a first preset matching value according to the first slope and the average temperature value;

[0107] matching the first charge-discharge characteristic curve with each charge-discharge characteristic curve in the charge-discharge characteristic curve set to obtain a plurality of first matching values;

[0108] Selecting a matching value greater than the first preset matching value from the multiple first matching values ​​to obtain at least one target first matching value, and obtaining at least one battery stability evaluation parameter corresponding to the at least one target first matching value;

[0109] The first adjustment parameter is determined according to the at least one battery stability evaluation parameter.

[0110] In some possible examples, in determining the first preset matching value according to the first slope and the average temperature value, the program includes instructions for performing the following steps:

[0111] determining a reference matching value corresponding to the average temperature value;

[0112] determining a first optimization parameter corresponding to the first slope;

[0113] The reference matching value is optimized according to the first optimization parameter to obtain the first preset matching value.

[0114] In some possible examples, in determining the second adjustment parameter according to the plurality of aging attenuation curves and the first aging attenuation curve, the program includes instructions for performing the following steps:

[0115] Matching the first aging attenuation curve with each of the plurality of aging attenuation curves to obtain a plurality of second matching values;

[0116] Selecting a matching value greater than a second preset matching value from the plurality of second matching values ​​to obtain at least one target second matching value, and obtaining at least one battery attenuation parameter corresponding to the at least one target second matching value;

[0117] The second adjustment parameter is determined according to the at least one battery degradation parameter.

[0118] It can be seen that the electronic device described in the embodiment of the present application is communicatively connected with a lithium battery module, and the lithium battery module includes multiple batteries; the first battery is monitored to obtain a first remaining power; the first battery is any battery among the multiple batteries, and when the first remaining power is a preset power, the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data of the first battery are obtained, and the first remaining power is calibrated according to the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain a second remaining power, and the second remaining power replaces the first remaining power. For any battery in the lithium battery module, when its remaining power reaches a preset power, the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data can be used to automatically calibrate the remaining power, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module.

[0119] Figure 6 A functional unit block diagram of a lithium battery module management device 600 involved in an embodiment of the present application. The lithium battery module management device 600 is applied to an electronic device, wherein the electronic device is in communication with a lithium battery module, and the lithium battery module includes multiple batteries; the lithium battery management device 600 includes: a monitoring unit 601, an acquisition unit 602, and a calibration unit 603, wherein:

[0120] The monitoring unit 601 is configured to monitor the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries;

[0121] The acquiring unit 602 is configured to acquire a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery when the first remaining power is a preset power;

[0122] The calibration unit 603 is configured to calibrate the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and replace the first remaining capacity with the second remaining capacity.

[0123] In some possible examples, in calibrating the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity, the calibration unit 603 is specifically configured to:

[0124] Obtaining first battery attribute information corresponding to the first battery;

[0125] Obtaining a charge-discharge characteristic curve set and an aging-attenuation curve set corresponding to the first battery attribute information, wherein the charge-discharge characteristic curve set includes a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponding to a battery stability assessment parameter; and the aging-attenuation curve set includes a plurality of aging-attenuation curves, each aging-attenuation curve corresponding to a battery attenuation parameter;

[0126] The first remaining capacity is calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity.

[0127] monitoring the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries;

[0128] When the first remaining power is a preset power, obtaining a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery;

[0129] The first remaining capacity is calibrated according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and the second remaining capacity replaces the first remaining capacity.

[0130] In some possible examples, in calibrating the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity, the calibration unit 603 is specifically configured to:

[0131] Obtaining first battery attribute information corresponding to the first battery;

[0132] Obtaining a charge-discharge characteristic curve set and an aging-attenuation curve set corresponding to the first battery attribute information, wherein the charge-discharge characteristic curve set includes a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponding to a battery stability assessment parameter; and the aging-attenuation curve set includes a plurality of aging-attenuation curves, each aging-attenuation curve corresponding to a battery attenuation parameter;

[0133] The first remaining capacity is calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity.

[0134] In some possible examples, in calibrating the first remaining power according to the multiple charge and discharge characteristic curves, the multiple charge and discharge characteristic curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining power, the calibration unit 603 is specifically configured to:

[0135] determining a first adjustment parameter according to the plurality of charge and discharge characteristic curves, the first charge and discharge characteristic curve, and the first temperature change data;

[0136] determining a second adjustment parameter according to the plurality of aging attenuation curves and the first aging attenuation curve;

[0137] The first remaining power is calibrated according to the first adjustment parameter and the second adjustment parameter to obtain the second remaining power.

[0138] In some possible examples, the first temperature change data includes temperature data for a preset time period; and in determining the first adjustment parameter based on the multiple charge-discharge characteristic curves, the first charge-discharge characteristic curve, and the first temperature change data, the calibration unit 603 is specifically configured to:

[0139] determining an average temperature value of the first temperature change data;

[0140] Performing fitting based on the first temperature change data to obtain a temperature change straight line;

[0141] determining a first slope of the temperature variation line;

[0142] determining a first preset matching value according to the first slope and the average temperature value;

[0143] matching the first charge-discharge characteristic curve with each charge-discharge characteristic curve in the charge-discharge characteristic curve set to obtain a plurality of first matching values;

[0144] Selecting a matching value greater than the first preset matching value from the multiple first matching values ​​to obtain at least one target first matching value, and obtaining at least one battery stability evaluation parameter corresponding to the at least one target first matching value;

[0145] The first adjustment parameter is determined according to the at least one battery stability evaluation parameter.

[0146] In some possible examples, in determining the first preset matching value according to the first slope and the average temperature value, the calibration unit 603 is specifically configured to:

[0147] determining a reference matching value corresponding to the average temperature value;

[0148] determining a first optimization parameter corresponding to the first slope;

[0149] The reference matching value is optimized according to the first optimization parameter to obtain the first preset matching value.

[0150] In some possible examples, in determining the second adjustment parameter according to the multiple aging attenuation curves and the first aging attenuation curve, the calibration unit 603 is specifically configured to:

[0151] Matching the first aging attenuation curve with each of the plurality of aging attenuation curves to obtain a plurality of second matching values;

[0152] Selecting a matching value greater than a second preset matching value from the plurality of second matching values ​​to obtain at least one target second matching value, and obtaining at least one battery attenuation parameter corresponding to the at least one target second matching value;

[0153] The second adjustment parameter is determined according to the at least one battery degradation parameter.

[0154] It can be seen that the lithium battery module management device described in the embodiment of the present application is applied to an electronic device, and the electronic device is communicatively connected to the lithium battery module, and the lithium battery module includes multiple batteries; the first battery is monitored to obtain a first remaining power; the first battery is any battery among the multiple batteries, and when the first remaining power is a preset power, the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data of the first battery are obtained, and the first remaining power is calibrated according to the first charge and discharge characteristic curve, the first aging attenuation curve and the first temperature change data to obtain a second remaining power, and the second remaining power replaces the first remaining power. For any battery in the lithium battery module, when its remaining power reaches a preset power, the charge and discharge characteristic curve, the aging attenuation curve and the temperature change data can be used to automatically calibrate the remaining power, thereby making the battery capacity estimation more accurate and improving the stability of the lithium battery module.

[0155] It can be understood that the functions of each program module of the lithium battery module management device of this embodiment can be specifically implemented according to the method in the above method embodiment. The specific implementation process can refer to the relevant description of the above method embodiment and will not be repeated here.

[0156] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments.

[0157] The present application also provides a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to execute some or all of the steps of any of the methods described in the above method embodiments. The computer program product may be a software installation package.

[0158] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0159] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0160] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0161] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0162] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0163] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes a number of instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0164] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program. The program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0165] The above is a detailed introduction to the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for those skilled in the art, according to the idea of ​​the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A lithium battery module management method, characterized in that: Applied to electronic equipment, the electronic equipment is communicatively connected to a lithium battery module, the lithium battery module includes a plurality of batteries; the method includes: monitoring the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries; When the first remaining power is a preset power, obtaining a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery; The first remaining capacity is calibrated according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and the second remaining capacity replaces the first remaining capacity.

2. The method according to claim 1, characterized in that The calibrating the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity includes: Obtaining first battery attribute information corresponding to the first battery; Obtaining a charge-discharge characteristic curve set and an aging-attenuation curve set corresponding to the first battery attribute information, wherein the charge-discharge characteristic curve set includes a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponding to a battery stability assessment parameter; and the aging-attenuation curve set includes a plurality of aging-attenuation curves, each aging-attenuation curve corresponding to a battery attenuation parameter; The first remaining capacity is calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity.

3. The method according to claim 2, characterized in that The step of calibrating the first remaining capacity according to the multiple charge and discharge characteristic curves, the multiple charge and discharge characteristic curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity includes: determining a first adjustment parameter according to the plurality of charge and discharge characteristic curves, the first charge and discharge characteristic curve, and the first temperature change data; determining a second adjustment parameter according to the plurality of aging attenuation curves and the first aging attenuation curve; The first remaining power is calibrated according to the first adjustment parameter and the second adjustment parameter to obtain the second remaining power.

4. The method according to claim 3, characterized in that The first temperature change data includes temperature data of a preset time period; and determining the first adjustment parameter according to the plurality of charge-discharge characteristic curves, the first charge-discharge characteristic curve, and the first temperature change data includes: determining an average temperature value of the first temperature change data; Performing fitting based on the first temperature change data to obtain a temperature change straight line; determining a first slope of the temperature variation line; determining a first preset matching value according to the first slope and the average temperature value; matching the first charge-discharge characteristic curve with each charge-discharge characteristic curve in the charge-discharge characteristic curve set to obtain a plurality of first matching values; Selecting a matching value greater than the first preset matching value from the multiple first matching values ​​to obtain at least one target first matching value, and obtaining at least one battery stability evaluation parameter corresponding to the at least one target first matching value; The first adjustment parameter is determined according to the at least one battery stability evaluation parameter.

5. The method according to claim 4, characterized in that The determining a first preset matching value according to the first slope and the average temperature value includes: determining a reference matching value corresponding to the average temperature value; determining a first optimization parameter corresponding to the first slope; The reference matching value is optimized according to the first optimization parameter to obtain the first preset matching value.

6. The method according to any one of claims 3 to 5, characterized in that: The determining the second adjustment parameter according to the plurality of aging attenuation curves and the first aging attenuation curve includes: Matching the first aging attenuation curve with each of the plurality of aging attenuation curves to obtain a plurality of second matching values; Selecting a matching value greater than a second preset matching value from the plurality of second matching values ​​to obtain at least one target second matching value, and obtaining at least one battery attenuation parameter corresponding to the at least one target second matching value; The second adjustment parameter is determined according to the at least one battery degradation parameter.

7. A lithium battery module management device, characterized in that: Applied to electronic equipment, the electronic equipment is connected to a lithium battery module, the lithium battery module includes multiple batteries; the device includes: a monitoring unit, an acquisition unit and a calibration unit, wherein, The monitoring unit is configured to monitor the first battery to obtain a first remaining power; the first battery is any one of the multiple batteries; The acquisition unit is configured to acquire a first charge-discharge characteristic curve, a first aging attenuation curve, and first temperature change data of the first battery when the first remaining power is a preset power; The calibration unit is configured to calibrate the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain a second remaining capacity, and replace the first remaining capacity with the second remaining capacity.

8. The device according to claim 7, characterized in that In the aspect of calibrating the first remaining capacity according to the first charge-discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity, the calibration unit is specifically configured to: Obtaining first battery attribute information corresponding to the first battery; Obtaining a charge-discharge characteristic curve set and an aging-attenuation curve set corresponding to the first battery attribute information, wherein the charge-discharge characteristic curve set includes a plurality of charge-discharge characteristic curves, each charge-discharge characteristic curve corresponding to a battery stability assessment parameter; and the aging-attenuation curve set includes a plurality of aging-attenuation curves, each aging-attenuation curve corresponding to a battery attenuation parameter; The first remaining capacity is calibrated according to the multiple charge and discharge characteristic curves, the multiple aging attenuation curves, the first charge and discharge characteristic curve, the first aging attenuation curve, and the first temperature change data to obtain the second remaining capacity.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the programs include instructions for executing the steps of the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the method according to any one of claims 1 to 6.

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