Battery time capacity relationship determination method and device, equipment and medium
By obtaining the time-capacity relationship of batteries at different temperatures, the battery capacity relationship at the target temperature can be predicted, solving the problems of long battery testing time and high cost, and achieving efficient and accurate battery capacity prediction.
Patent Information
- Application Number
- CN202511079697.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-01
- Publication Date
- 2025-11-07
AI Technical Summary
Existing technologies involve long battery testing times and high costs, making it difficult to efficiently determine the time-capacity relationship of batteries.
By obtaining the relationship between time and remaining capacity of the battery pack under test at different test temperatures, the time-capacity relationship at the target test temperature can be predicted. The target time-capacity relationship of the battery can be generated using multidimensional data, thus avoiding direct testing at the target temperature.
It improves the accuracy and efficiency of determining the battery time-capacity relationship, reduces testing costs, and can predict the initial capacity state and failure probability of the battery.
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Figure CN120908688A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of data testing, and in particular to a battery time capacity relationship determination method, device, equipment and medium. BACKGROUND
[0002] With the rapid development of science and technology, the types and quantities of batteries gradually increase. In order to ensure the normal operation of the battery, the test personnel need to test the quality of the battery to determine the reliability of the battery.
[0003] At present, the battery is tested to battery failure by manpower, and the failure data of the battery is obtained.
[0004] However, the time for testing the battery by manpower is long, and the testing cost is high. SUMMARY
[0005] The present application provides a battery time capacity relationship determination method, device, equipment and medium to improve the accuracy of battery time capacity relationship determination.
[0006] In a first aspect, the present application provides a battery time capacity relationship determination method, which comprises:
[0007] Obtaining a first time capacity relationship between time and battery remaining capacity of a battery group to be tested within a period at a first test temperature, and a second time capacity relationship between time and battery remaining capacity within a period at a second test temperature;
[0008] According to the first time capacity relationship and the second time capacity relationship, a third time capacity relationship within a period at a target test temperature is determined;
[0009] Obtaining a fourth time capacity relationship between time and battery remaining capacity of the battery group to be tested within a target time period at the target test temperature; the length of the target time period is less than the length of the period;
[0010] Obtaining the end capacity of the target time period;
[0011] According to the end capacity, a fifth time capacity relationship in the third time capacity relationship is determined;
[0012] According to the fourth time capacity relationship and the fifth time capacity relationship, the target time capacity relationship of the battery group to be tested is determined.
[0013] In a second aspect, the present application further provides a battery time capacity relationship determination device, which comprises:
[0014] The test data acquisition module is configured to acquire a first time-capacity relationship between time and remaining capacity of the battery pack in a period at a first test temperature, and a second time-capacity relationship between time and remaining capacity of the battery pack in a period at a second test temperature;
[0015] The target data acquisition module is configured to determine a third time-capacity relationship in a period at a target test temperature according to the first time-capacity relationship and the second time-capacity relationship.
[0016] The early data acquisition module is configured to acquire a fourth time-capacity relationship between time and remaining capacity of the battery pack in a target time period at the target test temperature, and a length of the target time period is less than a length of the period.
[0017] The end data acquisition module is configured to acquire an end capacity of the target time period.
[0018] The late data acquisition module is configured to determine a fifth time-capacity relationship in the third time-capacity relationship according to the end capacity.
[0019] The battery data acquisition module is configured to determine a target time-capacity relationship of the battery pack according to the fourth time-capacity relationship and the fifth time-capacity relationship.
[0020] In a third aspect, an embodiment of the present application further provides a battery time-capacity relationship determination device, which comprises:
[0021] at least one processor; and
[0022] a memory connected with the at least one processor in communication; wherein
[0023] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the battery time-capacity relationship determination method of any embodiment of the present application.
[0024] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to implement the battery time-capacity relationship determination method of any embodiment of the present application when executed.
[0025] The technical scheme of the embodiment of the present application can predict the third time capacity relationship in a period at a target test temperature without testing the battery pack to be tested at the target test temperature, improve the battery test efficiency, obtain the fourth time capacity relationship between time and battery residual capacity of the battery pack to be tested in a target time period at the target test temperature, determine the initial capacity state of the battery corresponding to the battery pack to be tested, facilitate determination of the data starting position corresponding to the target time capacity relationship, determine the fifth time capacity relationship in the third time capacity relationship according to the terminal capacity, determine the target time capacity relationship of the battery pack to be tested according to the fourth time capacity relationship and the fifth time capacity relationship, and generate the target time capacity relationship of the battery to be tested through multi-dimensional data, thereby improving the accuracy of the determination of the time capacity relationship of the battery.
[0026] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent through the following description. BRIEF DESCRIPTION OF DRAWINGS
[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.
[0028] Figure 1 is a flow chart of a battery time capacity relationship determination method according to the first embodiment of the present application;
[0029] Figure 2 is a flow chart of a battery time capacity relationship determination method according to the second embodiment of the present application;
[0030] Figure 3 is a structural diagram of a battery time capacity relationship determination device according to the embodiment of the present application;
[0031] Figure 4 is a structural diagram of a battery time capacity relationship determination device according to the embodiment of the present application. DETAILED DESCRIPTION
[0032] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of embodiments of the present application, rather than all embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work should fall within the protection scope of the present application.
[0033] It should be noted that the terms "first", "second" and the like in the description 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 application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes 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.
[0034] In the technical solutions of the embodiments of the present application, the acquisition, storage and application of the terminal capacity and the like are in line with the relevant legal regulations and do not violate public order and good customs.
[0035] Embodiment one
[0036] Figure 1 A flowchart of a battery time capacity relationship determination method provided by the first embodiment of the present application. The embodiments of the present application can be applicable to the case of determining the battery time capacity relationship, and the method can be executed by a battery time capacity relationship determination device, which can be realized in the form of hardware and / or software.
[0037] Referring to Figure 1 The battery time capacity relationship determination method shown in the figure comprises:
[0038] S101, acquiring a first time capacity relationship between time and battery remaining capacity of a battery pack to be tested within a period at a first test temperature, and a second time capacity relationship between time and battery remaining capacity within a period at a second test temperature.
[0039] The battery group to be tested can be a set of batteries to be tested for failure. The first test temperature can be a preset temperature of a test environment for testing the batteries. The second test temperature can be a preset temperature of a test environment for testing the batteries. The first time-capacity relationship can be a correspondence between a time within a period and a remaining battery capacity of the battery obtained by testing the battery at the first test temperature. The second time-capacity relationship can be a correspondence between a time within a period and a remaining battery capacity of the battery obtained by testing the battery at the second test temperature. The period can be a length of time for testing the battery.
[0040] Specifically, the battery group to be tested includes at least one battery to be tested, and each battery to be tested is of the same type. During use, the remaining capacity of the battery decreases with time, and therefore, there is a correspondence between the time and the remaining capacity of the battery. For example, the correspondence can be Q=A×e 1 / T wherein Q is the remaining capacity of the battery, T is the test temperature, t is the test time, and A is a time-capacity relationship coefficient. When T and A are known, the correspondence can be represented by a curve graph. For example, the abscissa of the curve graph can represent the test time, and the ordinate of the curve graph can represent the remaining capacity of the battery. The first test temperature and the second test temperature are obtained. The first test temperature can be 60 degrees, and the second test temperature can be 45 degrees. At least one battery to be tested can be selected. For each battery to be tested, at least one set of time-capacity data is obtained by testing the battery to be tested at the first test temperature. The time-capacity data includes the test time and the remaining capacity of the battery corresponding to the test time. According to each set of time-capacity data, a first time-capacity relationship is determined. At least one set of time-capacity data is obtained by testing the battery to be tested at the second test temperature. The time-capacity data includes the test time and the remaining capacity of the battery corresponding to the test time. According to each set of time-capacity data, a second time-capacity relationship is determined.
[0041] S102, according to the first time-capacity relationship and the second time-capacity relationship, a third time-capacity relationship within a period at a target test temperature is determined.
[0042] The target test temperature can be a temperature value to be predicted for the time-capacity relationship. The third time-capacity relationship can be a predicted time-capacity relationship at the target test temperature.
[0043] Specifically, the time-capacity relationship coefficient can be determined according to the first time-capacity relationship and the second time-capacity relationship. The target test temperature is obtained. At least one set of time-capacity data at the target test temperature is predicted according to the time-capacity relationship coefficient and the target test temperature. According to each set of time-capacity data, a third time-capacity relationship is determined.
[0044] S103, acquire a fourth time-capacity relationship between time and remaining capacity of the battery group to be tested at a target test temperature within a target time period; the target time period is shorter than the cycle.
[0045] The target time period can be a time period for which test data is to be acquired. The fourth time-capacity relationship can be a time-capacity relationship obtained by testing the battery at the target time period.
[0046] Specifically, at least one target battery is determined from the battery group to be tested, which is optionally not subjected to the test process. Each target battery is tested to obtain at least one set of time-capacity data of the target battery at the target time period, and the fourth time-capacity relationship is determined according to each time-capacity data. The first time period when the remaining capacity of the battery is 0 can be determined by the first time-capacity relationship, the second time period when the remaining capacity of the battery is 0 can be determined by the second time-capacity relationship, and the total cycle time can be determined by averaging the first time period and the second time period. A preset proportion is acquired, and the target time period is obtained by multiplying the preset proportion and the total cycle time. For example, the preset proportion can be 10%.
[0047] S104, acquire an end capacity of the target time period.
[0048] The end capacity can be the remaining capacity of the battery after the test of the battery at the target time period.
[0049] Specifically, when the target battery is tested, the capacity of the target battery gradually decreases with the increase of time. After the test at the target time period, the remaining capacity of the target battery is detected to obtain the end capacity corresponding to the target time period.
[0050] S105, determine a fifth time-capacity relationship in the third time-capacity relationship according to the end capacity.
[0051] The fifth time-capacity relationship can be a capacity relationship obtained by screening the third time-capacity relationship.
[0052] Specifically, the third time-capacity relationship includes at least one set of time-capacity data, which includes test time and remaining capacity corresponding to the test time. According to the end capacity, the test time corresponding to the end capacity is determined by screening each time-capacity data. The fifth time-capacity relationship is determined according to each time-capacity data after the test time.
[0053] S106, determine a target time-capacity relationship of the battery group to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship.
[0054] The target time-capacity relationship can be a time-capacity relationship predicted for the battery group to be tested.
[0055] Specifically, one total cycle duration is divided into a target time period and a remaining time period. The fourth time capacity relationship is a time capacity relationship in the target time period. The fifth time capacity relationship is a time capacity relationship in the remaining time period. According to the fourth time capacity relationship and the fifth time capacity relationship, the time capacity relationship of the target battery is determined. According to the time capacity relationship of each target battery, at least one set of total time capacity data is determined, the total time capacity data including a test time and a capacity mean value corresponding to the test time, and according to each total time capacity data, a target time capacity relationship corresponding to the total cycle duration of the battery group to be tested is determined.
[0056] The technical scheme of the embodiment of the present application can predict a third time capacity relationship in one cycle at a target test temperature by obtaining test data of time and battery residual capacity of the battery group to be tested at a first test temperature and at a second test temperature, without testing the battery group to be tested at the target test temperature, thereby improving the battery test efficiency. The initial capacity state of the battery corresponding to the battery group to be tested is determined by obtaining a fourth time capacity relationship between time and battery residual capacity of the battery group to be tested in a target time period at the target test temperature, which facilitates determination of a data starting position corresponding to the target time capacity relationship. According to the end capacity, a fifth time capacity relationship is determined in the third time capacity relationship. According to the fourth time capacity relationship and the fifth time capacity relationship, the target time capacity relationship of the battery group to be tested is determined. The target time capacity relationship of the battery to be tested is generated by multi-dimensional data, thereby improving the accuracy of the determination of the time capacity relationship of the battery.
[0057] Embodiment two
[0058] Figure 2 A flowchart of a battery time capacity relationship determination method provided by the embodiment two of the present application. The embodiment of the present application optimizes and improves the battery time capacity relationship determination operation on the basis of the above-mentioned embodiment.
[0059] Further, the "determining the fifth time capacity relationship in the third time capacity relationship according to the end capacity" is refined as "obtaining a time capacity relationship with the end capacity as the starting capacity in the third time capacity relationship according to the end capacity, and taking it as the fifth time capacity relationship", so as to perfect the operation of the battery time capacity relationship determination.
[0060] It should be noted that the parts not described in detail in the embodiment of the present application can be referred to the description of other embodiments.
[0061] Referring to Figure 2 The battery time capacity relationship determination method shown in the figure comprises:
[0062] S201, acquire a first time-capacity relationship between time and battery residual capacity of the battery pack to be tested within a period at a first test temperature, and a second time-capacity relationship between time and battery residual capacity of the battery pack to be tested within a period at a second test temperature.
[0063] S202, determine a third time-capacity relationship within a period at a target test temperature according to the first time-capacity relationship and the second time-capacity relationship.
[0064] S203, acquire a fourth time-capacity relationship between time and battery residual capacity of the battery pack to be tested within a target time period at the target test temperature; the length of the target time period is less than the length of the period.
[0065] S204, acquire an end capacity of the target time period.
[0066] S205, according to the end capacity, acquire a time-capacity relationship with the end capacity as a starting capacity in the third time-capacity relationship, and take the time-capacity relationship as a fifth time-capacity relationship.
[0067] Specifically, the third time-capacity relationship includes at least one set of time-capacity data, the time-capacity data includes test time and battery residual capacity corresponding to the test time. The third time-capacity relationship is a time-capacity relationship within a total period length predicted by a time-capacity relationship coefficient determined by the first time-capacity relationship and the second time-capacity relationship. The battery pack to be tested includes at least one battery to be tested, the initial residual capacity of each battery to be tested before testing can be the same or different. For each target battery, the fourth time-capacity relationship of the target battery within the target time period is collected, and the end capacity of the target battery is determined. According to the end capacity, the time-capacity relationship within the residual time period with the end capacity as the starting capacity is acquired in the third time-capacity relationship, and taken as the fifth time-capacity relationship of the target battery.
[0068] S206, determine the target time-capacity relationship of the battery pack to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship.
[0069] The embodiment of the application acquires the time-capacity relationship of the battery by acquiring the time-capacity relationship with the end capacity as the starting capacity in the third time-capacity relationship according to the end capacity, and taking the time-capacity relationship as the fifth time-capacity relationship, without testing the battery to failure to acquire the time-capacity relationship of the battery, thereby improving the time-capacity relationship acquisition efficiency of the battery and saving the test cost of the battery.
[0070] Optionally, according to the first time-capacity relationship and the second time-capacity relationship, the third time-capacity relationship under the target test temperature is determined, including: determining the relationship coefficient mean value according to the first time-capacity relationship and the second time-capacity relationship; and determining the third time-capacity relationship under the target test temperature according to the relationship coefficient mean value and the target test temperature.
[0071] The relationship coefficient mean value can be the average value of the at least one time-capacity relationship coefficient.
[0072] Specifically, the first time-capacity relationship includes at least one set of time-capacity data. The second time-capacity relationship includes at least one set of time-capacity data. At least one time-capacity relationship coefficient is determined according to each time-capacity data of the first time-capacity data, and the first coefficient mean value is calculated according to the average value of each time-capacity relationship coefficient. At least one time-capacity relationship coefficient is determined according to each time-capacity data of the second time-capacity data, and the second coefficient mean value is calculated according to the average value of each time-capacity relationship coefficient. The relationship coefficient mean value is obtained by averaging the first coefficient mean value and the second coefficient mean value. The third time-capacity relationship of the target battery is predicted according to the relationship coefficient mean value and the target test temperature.
[0073] By determining the relationship coefficient mean value according to the first time-capacity relationship and the second time-capacity relationship, and determining the third time-capacity relationship under the target test temperature according to the relationship coefficient mean value and the target test temperature, the relationship coefficient mean value can be calculated by actual test data, the time-capacity change trend characteristics are determined, and the third time-capacity relationship under the target temperature is predicted, without the need to test the time-capacity relationship under the target temperature, thereby improving the efficiency of battery testing.
[0074] Optionally, after determining the target time-capacity relationship of the battery group to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship, the method further includes: determining the capacity circle number relationship corresponding to at least one battery to be tested in the battery group to be tested according to the target time-capacity relationship of the battery group to be tested, wherein the circle number data in the capacity circle number relationship can be calculated from the time data in the target time-capacity relationship; calculating the failure rate distribution type corresponding to the battery group to be tested and the battery failure rate corresponding to each cycle test circle number according to the capacity circle number data of each battery to be tested, and determining the circle number failure rate relationship corresponding to the battery group to be tested.
[0075] The capacity-cycle relationship can be a corresponding relationship between the remaining capacity of the battery and the cycle test number. The capacity-cycle relationship includes at least one capacity-cycle data, and the capacity-cycle data includes the cycle test number and the corresponding remaining capacity of the battery. The failure rate distribution type can be a distribution type to which the failure rate of the battery conforms. The cycle failure rate relationship can be a set of at least one cycle failure rate data of the battery. The cycle failure rate relationship includes at least one cycle failure rate data. The cycle failure rate data includes the cycle test number and the corresponding failure rate of the cycle test number.
[0076] Specifically, a cycle test number corresponding to a duration of the battery is obtained. According to the target time-capacity relationship of the battery pack to be tested and the cycle test number corresponding to the duration of the battery, the target time-capacity relationship is converted into a capacity-cycle relationship, and the capacity-cycle data corresponding to at least one target battery in the battery pack to be tested is determined. The capacity-cycle data includes at least one cycle test number and the corresponding remaining capacity of the battery. According to the capacity-cycle data of each target battery, the distribution characteristics of the failure rate are determined, the failure rate distribution type corresponding to the battery pack to be tested and the battery failure rate corresponding to each cycle test number are determined, the cycle failure rate data corresponding to the battery pack to be tested is determined, and the battery failure data is determined. After obtaining the battery failure data, the remaining capacity set by different users can also be obtained. According to the battery failure data and the remaining capacity, the recyclable cycle number of the battery is determined, so as to determine the battery scrap time and improve the battery management efficiency; the scale parameter a and the shape parameter β of the Weibull distribution curve can also be obtained by maximum likelihood estimation and interval estimation, and the reliability of the battery under a specified cycle life is calculated, so as to evaluate the reliability of the battery; the number of batteries whose capacity is less than the preset capacity (i.e., failure) when reaching a specific cycle number is also recorded, and the failure rate under the cycle number is obtained by dividing the number of failed batteries by the total number of test batteries. By analyzing the failure rate corresponding to different cycle numbers, the change trend of the failure probability of the battery with the increase of the cycle number can be understood, and the reliability thereof can be evaluated.
[0077] According to the target time-capacity relationship of the battery pack to be tested, the capacity-cycle relationship corresponding to at least one battery to be tested in the battery pack to be tested is determined. The cycle data in the capacity-cycle relationship can be calculated from the time data in the target time-capacity relationship. According to the capacity-cycle data of each battery to be tested, the failure rate distribution type corresponding to the battery pack to be tested and the battery failure rate corresponding to each cycle test number are calculated, and the cycle failure rate relationship corresponding to the battery pack to be tested is determined. The battery failure data is determined without testing the battery to failure, thereby saving the test cost of the battery.
[0078] Optionally, according to the capacity cycle data of each battery to be tested, the corresponding failure rate distribution type of the battery group to be tested and the battery failure rate corresponding to each cycle test number are calculated to determine the cycle failure rate relationship corresponding to the battery group to be tested, including: obtaining a capacity threshold; determining the target cycle number of each battery to be tested corresponding to the capacity threshold according to the capacity threshold; calculating the goodness of fit value and the distribution adjustment amount according to the target cycle number of each battery to be tested; determining the failure rate distribution type according to the goodness of fit value and the distribution adjustment amount; predicting the battery failure rate corresponding to each cycle test number of the battery group to be tested according to the failure rate distribution type, and determining the cycle failure rate relationship corresponding to the battery group to be tested.
[0079] The capacity threshold can be a preset threshold of the remaining capacity of the battery. The goodness of fit value can be a goodness of fit value of each cycle test number subject to a Weibull distribution. The distribution adjustment amount can be an evaluation value for judging whether each cycle test number is subject to a Weibull distribution.
[0080] Specifically, the capacity threshold is obtained; the target cycle number of each target battery corresponding to the capacity threshold is determined according to the capacity threshold; the goodness of fit calculation formula and the distribution adjustment amount calculation formula are obtained, and the goodness of fit value and the distribution adjustment amount are calculated according to the target cycle number of each battery to be tested. For example, the goodness of fit value is a statistical quantity (Anderson-Darling, AD), which is a statistical quantity for testing whether the data is subject to a certain distribution, and is calculated by measuring the difference between the empirical distribution function of the sample data and the assumed distribution function. The smaller the AD value, the better the goodness of fit of the battery cycle test data to the Weibull distribution, i.e. the Weibull distribution can better describe the distribution characteristics of the battery cycle life. The distribution adjustment amount is a probability value calculated based on AD, which is used to judge whether the hypothesis that "the battery cycle test data is subject to the Weibull distribution" can be accepted. Generally, a significance level (commonly 0.05) is set in advance, if the P value is greater than the significance level, it means that the original hypothesis cannot be rejected, i.e. it can be considered that the battery cycle data is subject to the Weibull distribution; if the P value is less than the significance level, it means that the data is not subject to the Weibull distribution, at this time the reliability evaluation based on the Weibull distribution may not be accurate, and the distribution model needs to be reconsidered or the data needs to be checked. According to the goodness of fit value and the distribution adjustment amount, the failure rate distribution type is determined, and the distribution type can be an exponential score or a normal distribution. According to the failure rate distribution type, the battery failure rate corresponding to each cycle test number of the battery group to be tested is predicted to determine the battery failure data corresponding to the battery group to be tested.
[0081] The target cycle number of each battery to be tested corresponding to the capacity threshold is determined according to the capacity threshold; the fitting degree value and the distribution adjustment amount are calculated according to the target cycle number of each battery to be tested; the failure rate distribution type is determined according to the fitting degree value and the distribution adjustment amount; the cycle failure rate of the battery to be tested corresponding to each cycle test number of the battery to be tested is predicted according to the failure rate distribution type, and the cycle failure rate relationship corresponding to the battery to be tested is determined, the failure rate distribution characteristics are determined, and the whole life cycle of the battery is managed, the reliability is evaluated, and the battery management accuracy is improved.
[0082] Optionally, after determining the target time capacity relationship of the battery to be tested according to the fourth time capacity relationship and the fifth time capacity relationship, the method further comprises: obtaining battery attribute information corresponding to the battery to be tested; determining a battery adjustment amount of the battery to be tested according to the battery attribute information; updating the target time capacity relationship according to the battery adjustment amount and the target time capacity relationship to obtain an updated target time capacity relationship.
[0083] The battery attribute information can be description information of battery characteristics, performance and state data.
[0084] Specifically, the battery to be tested comprises at least one battery to be tested, and the battery to be tested corresponds to the battery attribute information one by one. The battery attribute information comprises at least one battery attribute and an attribute value of each battery attribute. Different battery attributes correspond to at least one attribute value range, and each attribute value range corresponds to a different battery adjustment amount. The battery adjustment amount is determined according to the attribute value of the battery, the total battery adjustment amount is obtained by adding each battery adjustment amount, and the total battery adjustment amount can adjust the target time capacity relationship to obtain each updated target time capacity relationship. For example, the time capacity coefficient in the target time capacity relationship can be adjusted by the total battery adjustment amount.
[0085] The target time capacity relationship is updated according to the battery adjustment amount and the target time capacity relationship to obtain an updated target time capacity relationship, the predicted target time capacity relationship can be adjusted according to the battery characteristics, and the accuracy of the target time capacity relationship prediction is improved.
[0086] Optionally, the battery attribute information comprises: a battery manufacturer, a number of battery dangerous events, a battery type, a battery test temperature difference and a battery material.
[0087] The battery manufacturer can be an identifier of a manufacturer producing the battery. The number of battery dangerous events can be the number of unsafe events of the battery. The battery type can be the type of the battery to be tested. The battery test temperature difference can be the temperature difference between the highest temperature and the lowest temperature during the battery test. The battery material can be the material used to make the battery.
[0088] Specifically, for the same type of battery, the capacity relationship with the number of turns of the battery produced by different battery manufacturers is different. The more the number of battery dangerous events, the smaller the battery adjustment amount, the fewer the number of battery dangerous events, the larger the battery adjustment amount. Different battery types correspond to different battery adjustment amounts. The larger the battery test temperature difference, the more heat the battery produces, and the smaller the remaining capacity of the battery relative to the theoretical value. The smaller the battery test temperature difference, the less heat the battery produces, and the smaller the remaining capacity of the battery relative to the theoretical value. Different battery materials have different charging and discharging conditions, and the energy consumption is different, so the corresponding battery adjustment amount is different.
[0089] By battery attribute information, including: battery manufacturer, number of battery dangerous events, battery type, battery test temperature difference and battery material, the battery adjustment amount of the battery is determined by multi-dimensional data, the target time capacity relationship is adjusted, and the accuracy of the determination of the target time capacity relationship is improved.
[0090] Embodiment three
[0091] Figure 3 A structural schematic diagram of a battery time capacity relationship determination device is provided for the third embodiment of the application. The embodiment of the application can be applicable to the case of determining the battery time capacity relationship. The device can execute the battery time capacity relationship determination method, and the device can be realized in the form of hardware and / or software.
[0092] Referring to Figure 3 The battery time capacity relationship determination device shown in the figure comprises a test data acquisition module 301, a target data acquisition module 302, a preliminary data acquisition module 303, an end data acquisition module 304, a later data acquisition module 305 and a battery data acquisition module 306, wherein,
[0093] The test data acquisition module 301 is used to acquire the first time capacity relationship between time and battery remaining capacity of a battery group to be tested within a period at a first test temperature, and the second time capacity relationship between time and battery remaining capacity within a period at a second test temperature;
[0094] The target data acquisition module 302 is used to determine the third time capacity relationship within a period at a target test temperature according to the first time capacity relationship and the second time capacity relationship;
[0095] The preliminary data acquisition module 303 is used to acquire the fourth time capacity relationship between time and battery remaining capacity within a target time period of the battery group to be tested at the target test temperature; the length of the target time period is less than the length of the period;
[0096] The end data acquisition module 304 is used to acquire the end capacity of the target time period;
[0097] The late data acquisition module 305 is configured to determine a fifth time-capacity relationship in the third time-capacity relationship according to the end capacity.
[0098] The battery data acquisition module 306 is configured to determine the target time-capacity relationship of the battery pack to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship.
[0099] The technical scheme of the embodiment of the application can predict the third time-capacity relationship in a cycle at a target test temperature by acquiring test data of time and battery residual capacity of the battery pack to be tested at a first test temperature and at a second test temperature, without testing the battery pack to be tested at the target test temperature, thereby improving the battery test efficiency, determining the initial capacity state of the battery corresponding to the battery pack to be tested by acquiring the fourth time-capacity relationship between time and battery residual capacity of the battery pack to be tested in a target time period at the target test temperature, facilitating determination of a data starting position corresponding to the target time-capacity relationship, determining the fifth time-capacity relationship in the third time-capacity relationship according to the end capacity, and determining the target time-capacity relationship of the battery pack to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship, thereby generating the target time-capacity relationship of the battery to be tested by multi-dimensional data and improving the accuracy of determination of the time-capacity relationship of the battery.
[0100] Optionally, the battery data acquisition module 306 is specifically configured to:
[0101] According to the end capacity, the time-capacity relationship with the end capacity as the starting capacity is acquired in the third time-capacity relationship, and is taken as the fifth time-capacity relationship.
[0102] Optionally, the target data acquisition module 302 is specifically configured to:
[0103] According to the first time-capacity relationship and the second time-capacity relationship, the average of the relationship coefficients is determined.
[0104] According to the average of the relationship coefficients and the target test temperature, the third time-capacity relationship at the target test temperature is determined.
[0105] Optionally, the battery time-capacity relationship determination apparatus further comprises:
[0106] The data conversion module is configured to, after determining the target time-capacity relationship of the battery pack to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship, determine the capacity cycle data corresponding to at least one battery to be tested in the battery pack to be tested according to the target time-capacity relationship of the battery pack to be tested, wherein the capacity cycle data comprises at least one cycle test number and battery cycle capacity corresponding to each cycle test number.
[0107] The failure data determination module is configured to calculate the failure rate distribution type corresponding to the battery group under test and the battery failure rate corresponding to each cycle test number according to the capacity cycle number data of each battery under test, and determine the battery failure data corresponding to the battery group under test.
[0108] Optionally, the failure data determination module is specifically configured to:
[0109] acquire a capacity threshold value;
[0110] determine the target cycle number of each battery under test corresponding to the capacity threshold value according to the capacity threshold value;
[0111] calculate the fitting degree value and the distribution adjustment amount according to the target cycle number of each battery under test;
[0112] determine the failure rate distribution type according to the fitting degree value and the distribution adjustment amount;
[0113] determine the battery failure data corresponding to the battery group under test according to the battery failure rate prediction of each cycle test number of the battery group under test corresponding to the failure rate distribution type.
[0114] Optionally, the battery time capacity relationship determination device is further configured to:
[0115] acquire the battery attribute information corresponding to the battery group under test after determining the target time capacity relationship of the battery group under test according to the fourth time capacity relationship and the fifth time capacity relationship;
[0116] determine the battery adjustment amount of the battery group under test according to the battery attribute information;
[0117] update the target time capacity relationship according to the battery adjustment amount and the target time capacity relationship, and obtain the updated target time capacity relationship.
[0118] Optionally, the battery attribute information includes the battery manufacturer, the number of battery dangerous events, the battery type, the battery test temperature difference, and the battery material.
[0119] The battery time capacity relationship determination device provided in the embodiment can execute the battery time capacity relationship determination method provided in any embodiment of the application, and has the corresponding function modules and beneficial effects of executing the battery time capacity relationship determination method.
[0120] Embodiment Four
[0121] Figure 4 A structural schematic diagram of a battery time capacity relationship determination device 400 that can be used to implement the embodiments of the application is shown.
[0122] As Figure 4As shown, the battery time-capacity relationship determining device 400 includes at least one processor 401, and memories, such as a read-only memory (ROM) 402, a random access memory (RAM) 403, etc., connected to the at least one processor 401 in communication. The memories store computer programs executable by the at least one processor 401, which can perform various appropriate actions and processes according to the computer programs stored in the read-only memory (ROM) 402 or loaded into the random access memory (RAM) 403 from the storage unit 408. In the RAM 403, various programs and data required for the operation of the battery time-capacity relationship determining device 400 can also be stored. The processor 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.
[0123] Various components in the battery time-capacity relationship determining device 400 are connected to the I / O interface 405, including an input unit 406, such as a keyboard, a mouse, etc., an output unit 407, such as various types of displays, speakers, etc., a storage unit 408, such as a magnetic disk, an optical disk, etc., and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the battery time-capacity relationship determining device 400 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.
[0124] The processor 401 can be various general and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 401 performs various methods and processes described above, such as the battery time-capacity relationship determining method.
[0125] In some embodiments, the battery time-capacity relationship determining method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed onto the battery time-capacity relationship determining device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the processor 401, one or more steps of the battery time-capacity relationship determining method described above can be performed. Alternatively, in other embodiments, the processor 401 can be configured to perform the battery time-capacity relationship determining method by any other appropriate means, such as by means of firmware.
[0126] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a complex programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
[0127] Computer programs used to implement the methods of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed by the processor of the machine, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package, and partially on a machine or entirely on a remote machine or server.
[0128] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0129] To provide for interaction with a user, the systems and techniques described here can be implemented on a battery time capacity relationship determining device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the battery time capacity relationship determining device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
[0130] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), blockchain network, and the Internet.
[0131] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS (Virtual Private Server).
[0132] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present application. For example, the steps recited in the present application can be executed in parallel, executed in sequence, or executed in a different order, as long as the desired results of the technical solutions of the present application are achieved, which are not limited herein.
[0133] The above detailed description does not limit the scope of the application. Various modifications, combinations, sub-combinations and alternatives can be made to the detailed description. Any modification, equivalent replacement and improvement etc. made within the spirit and principle of the application shall be included in the scope of the application.
Claims
1. A method for determining the relationship between battery time and capacity, characterized in that, The method comprises: obtaining a first time-capacity relationship between time and remaining capacity of a battery pack to be tested within a period at a first test temperature, and a second time-capacity relationship between time and remaining capacity of the battery pack within a period at a second test temperature; determining a third time-capacity relationship within a period at the target test temperature according to the first time-capacity relationship and the second time-capacity relationship; obtaining a fourth time-capacity relationship between time and remaining capacity of the battery pack to be tested within a target time period at the target test temperature; the target time period is shorter than the period; obtaining an end capacity of the target time period; determining a fifth time-capacity relationship in the third time-capacity relationship according to the end capacity; determining a target time-capacity relationship of the battery pack to be tested according to the fourth time-capacity relationship and the fifth time-capacity relationship.
2. The method of claim 1, wherein, The method comprises: obtaining a first time-capacity relationship between time and remaining capacity of a battery pack to be tested within a period at a first test temperature, and a second time-capacity relationship between time and remaining capacity of the battery pack within a period at a second test temperature; 3. The method of claim 1, wherein, determining a third time-capacity relationship within a period at the target test temperature according to the first time-capacity relationship and the second time-capacity relationship; The method comprises: determining a relationship coefficient mean value according to the first time-capacity relationship and the second time-capacity relationship; 4. The method of claim 1, wherein, determining a third time-capacity relationship at the target test temperature according to the relationship coefficient mean value and the target test temperature. The method comprises: determining a capacity cycle number relationship corresponding to at least one battery to be tested in the battery pack to be tested according to the target time-capacity relationship of the battery pack to be tested; the cycle number data in the capacity cycle number relationship can be calculated from the time data in the target time-capacity relationship; 5. The method of claim 4, wherein, calculating a failure rate distribution type corresponding to the battery pack to be tested and a battery failure rate corresponding to each cycle test cycle according to the capacity cycle number data of each battery to be tested, and determining a cycle failure rate relationship corresponding to the battery pack to be tested. The method comprises: obtaining a capacity threshold value; determining a target cycle number of each battery to be tested corresponding to the capacity threshold value according to the capacity threshold value; calculating a fitting degree value and a distribution adjustment amount according to the target cycle number of each battery to be tested; determining a failure rate distribution type according to the fitting degree value and the distribution adjustment amount; determining a cycle failure rate relationship corresponding to the battery pack to be tested according to a battery failure rate prediction of each cycle test cycle of the battery pack to be tested according to the failure rate distribution type.
6. The method of claim 1, wherein, After the target time-capacity relationship of the battery pack under test is determined according to the fourth time-capacity relationship and the fifth time-capacity relationship, the method further includes: acquiring battery attribute information corresponding to the battery pack under test; determining a battery adjustment amount of the battery pack under test according to the battery attribute information; updating the target time-capacity relationship according to the battery adjustment amount and the target time-capacity relationship, to obtain an updated target time-capacity relationship.
7. The method of claim 6, wherein, The battery attribute information includes a battery manufacturer, a number of battery hazard events, a battery type, a battery test temperature difference, and a battery material.
8. A battery time capacity relationship determination apparatus characterized by comprising: The device includes: a test data acquisition module configured to acquire a first time-capacity relationship between time and battery remaining capacity of a battery pack under test within a period at a first test temperature, and a second time-capacity relationship between time and battery remaining capacity of the battery pack under test within the period at a second test temperature; a target data acquisition module configured to determine a third time-capacity relationship within the period at the target test temperature according to the first time-capacity relationship and the second time-capacity relationship; an early-stage data acquisition module configured to acquire a fourth time-capacity relationship between time and battery remaining capacity of the battery pack under test within a target time period at the target test temperature; the target time period has a time length less than that of the period; an end data acquisition module configured to acquire an end capacity of the target time period; a late-stage data acquisition module configured to determine a fifth time-capacity relationship in the third time-capacity relationship according to the end capacity; a battery data acquisition module configured to determine a target time-capacity relationship of the battery pack under test according to the fourth time-capacity relationship and the fifth time-capacity relationship.
9. A battery time capacity relationship determination device characterized by comprising: The battery time-capacity relationship determination device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the battery time-capacity relationship determination method in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to implement the battery time-capacity relationship determination method in any one of claims 1-7 when executed.
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