Cell cycle life prediction methods, devices, electronic equipment and storage media

Abstract

This disclosure relates to the field of battery technology, and more particularly to a method, apparatus, electronic device, and storage medium for predicting the cycle life of a battery cell. The method includes: during the cyclic charging and discharging of the battery cell under test, data is collected at intervals of a sampling time threshold to obtain a data set; the cell capacity reduction value is determined based on the data set; and the corresponding cell cycle life is determined based on the cell capacity reduction value. Using this disclosure can reduce the prediction cost and improve the accuracy of predictions for lithium-ion batteries.

Description

Technical Field

[0001] This disclosure relates to the field of battery technology, and in particular to a method, apparatus, electronic device, and storage medium for predicting the cycle life of a battery cell. Background Technology

[0002] With the development of new energy sources, lithium-ion batteries have also developed rapidly. Lithium-ion batteries are widely used in 3C products, power systems, and energy storage. However, the lifespan of lithium-ion batteries will hinder further applications, making lifespan prediction a key focus. However, among related technologies, predicting lithium-ion battery lifespan is costly and has low accuracy. Summary of the Invention

[0003] This disclosure provides a method and apparatus for predicting the cycle life of a battery cell, with the main purpose of reducing the prediction cost and improving the accuracy of prediction when predicting the life of lithium-ion batteries.

[0004] According to one aspect of this disclosure, a method for predicting the cycle life of a battery cell is provided, comprising:

[0005] During the cyclic charging and discharging process of the battery cell under test, data is collected once every sampling time threshold to obtain a set of collected data.

[0006] The periodic reduction value of battery cell capacity is determined based on the collected data set;

[0007] The cell cycle life of the cell under test is determined based on the cell capacity reduction value over time.

[0008] Optionally, the collected data set includes a subset of charging data, a subset of constant voltage charging data, and a subset of discharging data. Data is collected once every sampling duration threshold to obtain the collected data set, which includes:

[0009] During any charge and discharge process, the cell under test is controlled to perform constant current charging, and data is collected once every sampling time threshold until the cell voltage corresponding to the cell under test is not less than the first threshold voltage, so as to obtain the cell under test after constant current charging and the constant current charging data subset.

[0010] After constant current charging, the test cell is charged with constant voltage, and data is collected once every sampling time threshold until the discharge rate of the test cell after constant current charging is not greater than the rate threshold, so as to obtain the charged test cell and the constant voltage charging data subset.

[0011] The battery cell under test is left to stand for a preset time after charging to obtain the battery cell under test after standing.

[0012] The test cell is controlled to undergo constant current discharge after being left to stand, and data is collected once every sampling time threshold until the cell voltage corresponding to the test cell after being left to stand is not greater than the second threshold voltage. The test cell after charging and discharging and the discharge data subset are obtained, wherein the second threshold voltage is less than the first threshold voltage.

[0013] Optionally, control the battery cell under test to perform constant current charging, including:

[0014] Obtain the preset discharge rate;

[0015] The battery cell under test is controlled to perform constant current charging based on a preset discharge rate.

[0016] Optionally, any data collected in the dataset may include cell capacity data. The cell capacity periodic reduction value is determined based on the dataset, including:

[0017] The cell capacity data obtained after data acquisition within any sampling duration threshold is accumulated by calculus to obtain the periodic decrease value of cell capacity.

[0018] Optionally, the cell capacity reduction value over time can be determined based on the collected data set, including:

[0019] The constant current ratio waveform information corresponding to the battery cell under test is determined based on the collected data set.

[0020] Determine the maximum and minimum constant current percentage values ​​within any period of the constant current percentage waveform information;

[0021] The cell capacity period reduction value is determined based on the first cell capacity data corresponding to the maximum constant current percentage value and the second cell capacity data corresponding to the minimum constant current percentage value.

[0022] Optionally, the cell cycle life of the cell under test can be determined based on the cell capacity reduction value over time, including:

[0023] The number of the first waveform cycle corresponding to the constant current percentage waveform information is determined based on the periodic decrease value of the cell capacity.

[0024] During the first cycle of charging and discharging of the cell under test, determine the number of the first cycle of charging and discharging and the number of the second waveform cycles corresponding to the constant current percentage waveform information.

[0025] During the second cycle of charging and discharging of the cell under test, determine the number of the second cycle of charging and discharging when any waveform period of the constant current percentage waveform information appears.

[0026] The cycle life of the battery cell under test is determined based on the number of charge-discharge cycles in the first cycle, the number of charge-discharge cycles in the second cycle, the number of cycles in the first waveform, and the number of charge-discharge cycles in the second cycle.

[0027] Optionally, the cell cycle life of the cell under test is determined based on the number of first charge-discharge cycles, the number of second charge-discharge cycles, the number of first waveform cycles, and the number of second charge-discharge cycles, including:

[0028] The number of charge-discharge cycles corresponding to the cell under test is determined based on the number of charge-discharge cycles in the first cycle, the number of charge-discharge cycles in the second cycle, the number of cycles in the first waveform, and the number of charge-discharge cycles in the second cycle.

[0029] The cell cycle life of the cell under test is determined based on the number of charge-discharge cycles in the third cycle.

[0030] According to another aspect of this disclosure, a cell cycle life prediction device is provided, comprising:

[0031] The data acquisition unit is used to acquire data once every sampling time threshold during the cyclic charging and discharging process of the battery cell under test, and obtain the acquired data set.

[0032] The capacity determination unit is used to determine the periodic reduction value of the cell capacity based on the collected data set.

[0033] The life prediction unit is used to determine the cycle life of the battery cell under test based on the cell capacity reduction value over time.

[0034] According to another aspect of this disclosure, an electronic device is provided, comprising:

[0035] At least one processor; and

[0036] A memory communicatively connected to the at least one processor; wherein,

[0037] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in any one of the preceding aspects.

[0038] According to another aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are used to cause the computer to perform the method described in any one of the preceding aspects.

[0039] According to another aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in any one of the preceding aspects.

[0040] In one or more embodiments of this disclosure, data is collected at intervals of a sampling duration threshold during the cyclic charging and discharging process of the battery cell under test, resulting in a data set. The battery cell capacity reduction value over time is determined based on the data set. The battery cell cycle life is then determined based on the battery cell capacity reduction value over time. Therefore, determining the battery cell cycle life by calculating the battery cell capacity reduction value from the collected data eliminates the need to test other electrochemical parameters or use empirical models, resulting in low prediction costs and high accuracy.

[0041] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0042] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0043] Figure 1 A schematic flowchart of a cell cycle life prediction method provided in an embodiment of this disclosure is shown.

[0044] Figure 2 A schematic diagram of the cell capacity provided in an embodiment of this disclosure is shown.

[0045] Figure 3 A flowchart illustrating another cell cycle life prediction method provided in an embodiment of this disclosure is shown.

[0046] Figure 4 This diagram illustrates an embodiment of the present disclosure for obtaining a cell capacity periodic reduction value.

[0047] Figure 5 The diagram illustrates a waveform of a constant current ratio according to an embodiment of this disclosure.

[0048] Figure 6 This diagram illustrates the results of an actual test provided by an embodiment of this disclosure.

[0049] Figure 7 This diagram illustrates the structure of a battery cell cycle life prediction device according to an embodiment of the present disclosure.

[0050] Figure 8 This is a block diagram of an electronic device used to implement the cell cycle life prediction method of the embodiments of this disclosure. Detailed Implementation

[0051] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0052] In related technologies, the prediction of lithium-ion battery cycle life is mainly divided into electrochemical models, data-driven methods, and a combination of electrochemical models and data-driven methods.

[0053] Electrochemical models rely heavily on the complexity of the chosen model, requiring a large number of electrochemical parameters, resulting in long testing times, high costs, and relatively low accuracy.

[0054] Data-driven models rely heavily on large amounts of raw data, and their accuracy depends on the selected empirical model and the accuracy of the data. Often, the predicted results deviate significantly from the actual results.

[0055] Combining electrochemical models with data-driven approaches to predict the lifespan of lithium-ion batteries provides a more comprehensive theoretical explanation, but it takes longer, is more expensive, and the results are more likely to deviate significantly from reality.

[0056] The present disclosure will now be described in detail with reference to specific embodiments.

[0057] In the first embodiment, such as Figure 1 As shown, Figure 1 The diagram illustrates a flowchart of a cell cycle life prediction method according to an embodiment of this disclosure. This method can be implemented using a computer program and can run on an apparatus for performing cell cycle life prediction. The computer program can be integrated into an application or run as a standalone utility application. For example, this method can run on an electronic device.

[0058] The electronic device includes, but is not limited to: wearable devices, handheld devices, personal computers, tablets, in-vehicle devices, smartphones, computing devices, or other processing devices connected to a wireless modem. In different networks, the electronic device may have different names, such as: user equipment, access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device, cellular phone, cordless phone, personal digital assistant (PDA), 5G network, or future evolution network. An operating system can be installed on the electronic device. This operating system is a program that manages and controls the hardware and applications of the electronic device and is an indispensable system application. This operating system includes, but is not limited to, Android, iOS, Windows Phone (WP), and Ubuntu Mobile.

[0059] Specifically, the method for predicting the cycle life of the battery cell includes:

[0060] S101: During the cyclic charging and discharging process of the battery cell under test, data is collected once every sampling time threshold to obtain a set of collected data.

[0061] According to some embodiments, the cell under test refers to a cell whose cycle life needs to be predicted. Cycle life refers to the total number of charge-discharge cycles a cell can undergo.

[0062] In some embodiments, the sampling duration threshold Δts does not specifically refer to a fixed threshold. For example, the sampling duration threshold Δts can be 30s.

[0063] According to some embodiments, the data collection set refers to a collection of all the data collected after the battery cell under test has undergone cyclic charging and discharging.

[0064] It is easy to understand that when electronic devices perform cell cycle life prediction, data can be collected once every sampling time threshold Δts during the cyclic charging and discharging process of the cell under test, and the collected data set can be obtained.

[0065] S102, determine the periodic reduction value of cell capacity based on the collected data set;

[0066] It should be noted that during the charging and discharging process of the battery cell under test, within the sampling time threshold Δts between the constant current (CC) charging stage and the constant voltage (CV) charging stage, the battery cell exhibits both CC and CV charging capacities. However, this portion of the capacity is assumed to be the capacity during the CC charging stage. Secondly, within a certain number of charge-discharge cycles, the CC charging capacity gradually decreases, while the CV charging capacity gradually increases. However, the CC charging capacity is higher than the CV charging capacity per unit time. Therefore, at the end of the CC charging stage, the cell capacity will exhibit a smooth decreasing curve, as shown below. Figure 2 As shown.

[0067] The sudden drop in CC charging capacity is mainly due to the gradual reduction in the duration of the CC charging phase as aging increases. Additionally, the constant current percentage of the tested cell during cyclic charging and discharging is a periodically fluctuating waveform. When this waveform jumps from one cycle to the next, it's equivalent to losing the CV charging capacity of the last charge-discharge process of the previous cycle. Simultaneously, the difference between the start of the previous cycle and the start of the next cycle is approximately one CC charging capacity, which is the cell capacity periodic reduction value corresponding to the sampling duration threshold Δts. This cell capacity periodic reduction value is a constant N; that is, within one cycle of this waveform, the cell capacity reduction value is N.

[0068] It is easy to understand that when an electronic device acquires a set of collected data, it can determine the periodic reduction value of the battery cell capacity based on the collected data set.

[0069] S103, determine the cell cycle life of the cell under test based on the cell capacity reduction value over time.

[0070] For example, if the cell capacity of the battery cell under test is C0, and the capacity retention rate is 80% when the cell fails, then the constant current percentage waveform corresponding to this cell under test will have (C0-80%C0) / N cycles. The number of charge / discharge cycles corresponding to each cycle in the constant current percentage waveform will be recorded sequentially as X1, X2, X3…X… (C0-80％C0) / N Then the cycle life of the cell under test can be determined as X1 + X2 + X3 + ... + X (C0-80％C0) / N .

[0071] It is easy to understand that when an electronic device obtains the cell capacity cycle reduction value, it can determine the cell cycle life corresponding to the cell under test based on the cell capacity cycle reduction value.

[0072] In summary, the method provided in this disclosure involves collecting data at intervals of a sampling duration threshold during the cyclic charging and discharging process of the battery cell under test, obtaining a data set; determining the cell capacity reduction value over time based on the data set; and determining the cell cycle life corresponding to the battery cell under test based on the cell capacity reduction value over time. Therefore, determining the cell cycle life corresponding to the battery cell under test by calculating the cell capacity reduction value over time based on the collected data eliminates the need to test other electrochemical parameters or use empirical models for fitting, resulting in low prediction costs and high accuracy.

[0073] Please see Figure 3 , Figure 3 This diagram illustrates a flow chart of a cell cycle life prediction method provided in an embodiment of this disclosure.

[0074] Specifically, the method for predicting the cycle life of the battery cell includes:

[0075] S201, when the cell under test is cyclically charged and discharged, during any charge and discharge process, the cell under test is controlled to be charged with constant current, and data is collected once every sampling time threshold until the cell voltage corresponding to the cell under test is not less than the first threshold voltage, so as to obtain the cell under test after constant current charging and the constant current charging data subset.

[0076] According to some embodiments, the first threshold voltage does not specifically refer to a fixed threshold. For example, the first threshold voltage can be 3.65V.

[0077] In some embodiments, the constant current charging acquisition data subset refers to a set of constant current charging acquisition data obtained by collecting data once every sampling duration threshold when the battery cell under test is being charged with constant current.

[0078] According to some embodiments, when controlling the battery cell under test to perform constant current charging, a preset discharge rate can be obtained, and the battery cell under test can be controlled to perform constant current charging based on the preset discharge rate.

[0079] S202, control the test cell after constant current charging to perform constant voltage charging, and collect data once every sampling time threshold until the discharge rate of the test cell after constant current charging is not greater than the rate threshold, and obtain the test cell after charging and the constant voltage charging data subset.

[0080] According to some embodiments, the magnification threshold does not specifically refer to a fixed threshold. For example, the magnification threshold can be 0.05C.

[0081] In some embodiments, the constant voltage charging data subset refers to a collection of constant voltage charging data obtained by collecting data once every sampling time threshold when the battery cell under test is being charged at a constant voltage.

[0082] S203, after charging, the test cell is left to stand for a preset time to obtain the test cell after standing.

[0083] According to some embodiments, the preset duration does not specifically refer to a fixed duration; for example, the preset duration can be 1 hour.

[0084] S204 controls the test cell to undergo constant current discharge after resting, and performs data acquisition once every sampling time threshold until the cell voltage corresponding to the test cell after resting is not greater than the second threshold voltage, so as to obtain the test cell after charging and discharging and the discharge acquisition data subset.

[0085] According to some embodiments, the second threshold voltage is less than the first threshold voltage, and the second threshold voltage may be, for example, 2.5V.

[0086] In some embodiments, the discharge acquisition data subset refers to a collection of constant current discharge acquisition data obtained after data acquisition is performed once every sampling duration threshold when the battery cell under test is subjected to constant current discharge.

[0087] According to some embodiments, when controlling the test cell to undergo constant current discharge after it has been left to stand, constant current discharge can also be performed according to a pre-set discharge rate. For example, constant current discharge can be performed according to a 1C discharge rate.

[0088] For example, a scenario can be described where the Xinwei system can be controlled at 45℃ to perform cyclic charging and discharging of a 100Ah battery cell under test, charging at 0.5C and discharging at 1C. During any charging / discharging cycle, the Xinwei system first charges the battery cell under test at a constant current of 0.5C to 3.65V, acquiring data every 30 seconds. Next, the Xinwei system charges the battery cell under test at a constant voltage of 0.05C, acquiring data every 30 seconds. Then, the battery cell under test is allowed to rest for 1 hour. Finally, the Xinwei system discharges the battery cell under test at a constant current of 1C to 2.5V, acquiring data every 30 seconds.

[0089] It should be noted that during a single data acquisition, the collected data includes both cell voltage data and cell capacity data. In other words, each data acquisition in the dataset—that is, each constant current charging data acquisition in the constant current charging data acquisition subset, each constant voltage charging data acquisition in the constant voltage charging data acquisition subset, and each discharge data acquisition in the discharge data acquisition subset—includes both cell voltage data and cell capacity data.

[0090] In some embodiments, the cell voltage dataset refers to a collection of cell voltage data obtained after data acquisition at intervals of a sampling duration threshold. The cell capacity dataset refers to a collection of cell capacity data obtained after data acquisition at intervals of a sampling duration threshold. Furthermore, there is a one-to-one correspondence between the cell voltage data in the cell voltage dataset and the cell capacity data in the cell capacity dataset.

[0091] S205, determine the periodic reduction value of cell capacity based on the collected data set;

[0092] According to some embodiments, when determining the periodic reduction value of battery cell capacity based on the collected data set, the battery cell capacity data obtained after data collection within any sampling duration threshold can be accumulated by calculus to obtain the periodic reduction value of battery cell capacity.

[0093] In some embodiments, Figure 4 This diagram illustrates an embodiment of the present disclosure for obtaining a cell capacity periodic reduction value. For example... Figure 4 As shown, the cell capacity of the 100Ah battery under test after 30s of constant current charging at 0.5C is determined to be 0.416Ah by calculus accumulation. In other words, the cell capacity periodic decrease value N is 0.416Ah.

[0094] According to some embodiments, since the difference between the maximum and minimum values ​​within one cycle of the constant current percentage waveform corresponding to the cell under test is the cell capacity reduction value, when determining the cell capacity cycle reduction value based on the collected data set, firstly, the constant current percentage waveform information corresponding to the cell under test can be determined based on the collected data set. Next, the maximum and minimum constant current percentage values ​​within any cycle of the constant current percentage waveform information can be determined. Finally, the cell capacity cycle reduction value can be determined based on the first cell capacity data corresponding to the maximum constant current percentage value and the second cell capacity data corresponding to the minimum constant current percentage value.

[0095] In some embodiments, Figure 5 This diagram illustrates a waveform representation of a constant current percentage according to an embodiment of this disclosure. Figure 5 As shown, at 45℃, the Xinwei system was used to perform cyclic charging and discharging of two 100Ah test cells S1 and S2 at 0.5C charging and 1C discharging. The constant current ratios of the test cells S1 and S2 were similar, and both were waveform line graphs.

[0096] In some embodiments, the cell capacity period reduction value is determined based on the difference between the first cell capacity data corresponding to the maximum constant current percentage value and the second cell capacity data corresponding to the minimum constant current percentage value.

[0097] S206, determine the number of the first waveform cycle corresponding to the constant current percentage waveform information based on the cell capacity cycle reduction value;

[0098] According to some embodiments, the first waveform cycle count refers to the total number of waveform cycles in the constant current percentage waveform information. For example, when the cell capacity cycle reduction value N is 0.416Ah, it can be calculated that when the capacity drops to 80%, there should be (100-80%*100) / 0.416=48 cycles in the constant current percentage waveform.

[0099] S207, During the first cycle of charging and discharging of the cell under test, determine the number of the first cycle of charging and discharging and the number of the second waveform cycles corresponding to the constant current percentage waveform information;

[0100] According to some embodiments, the first charge-discharge cycle refers to the stage where the charge-discharge cycle is unstable due to the rapid growth of the SEI film in the battery cell under test. The first charge-discharge cycle count refers to the total number of charge-discharge cycles in the first charge-discharge cycle. The second waveform cycle count refers to the number of waveform cycles that occur in the first charge-discharge cycle.

[0101] For example, the cell under test S1 can exhibit 8 waveform cycles in the first 95 cycles, and the cell under test S2 can exhibit 7 waveform cycles in the first 102 cycles.

[0102] S208, during the second cycle of charging and discharging of the cell under test, determine the number of the second cycle of charging and discharging when any waveform period of the constant current percentage waveform information appears;

[0103] According to some embodiments, the second charge-discharge cycle refers to the stage when the charge-discharge cycle is stable. The number of second charge-discharge cycles refers to the number of charge-discharge cycles required for each waveform period to occur during the second charge-discharge cycle. For example, the test cells S1 and S2 may produce one waveform period after 26 charge-discharge cycles.

[0104] S209. Determine the cell cycle life of the cell under test based on the number of first charge-discharge cycles, the number of second charge-discharge cycles, the number of first waveform cycles, and the number of second charge-discharge cycles.

[0105] According to some embodiments, the number of third charge-discharge cycles corresponding to the cell under test can be determined based on the number of first charge-discharge cycles, the number of second charge-discharge cycles, the number of first waveform cycles, and the number of second charge-discharge cycles; the cell cycle life corresponding to the cell under test can be determined based on the number of third charge-discharge cycles.

[0106] For example, the cycle life of the cell under test S1 can be determined to be 95 + 26 * 40 = 1135 charge-discharge cycles, and the cycle life of the cell under test S2 can be determined to be 102 + 41 * 26 = 1168 charge-discharge cycles.

[0107] It should be noted that, Figure 6 This diagram illustrates the results of an actual test provided by an embodiment of this disclosure. Figure 6 As shown, in the actual test, when the tested cell S1 was removed from the cabinet, the capacity retention rate after 1132 charge-discharge cycles was 79.73%, while when the tested cell S2 was removed from the cabinet, the capacity retention rate dropped to 80.00% after 1169 charge-discharge cycles. This indicates that the cell cycle life predicted by the method provided in this embodiment is basically consistent with the actual test results and has high accuracy.

[0108] In summary, the method provided in this disclosure firstly involves cyclically charging and discharging the battery cell under test. During any charge / discharge cycle, the battery cell under test is controlled to undergo constant current charging, and data is collected every sampling duration threshold until the cell voltage corresponding to the battery cell under test is not less than a first threshold voltage, thus obtaining the battery cell under test after constant current charging and a subset of constant current charging data. Next, the battery cell under test after constant current charging is controlled to undergo constant voltage charging, and data is collected every sampling duration threshold until the discharge rate corresponding to the battery cell under test after constant current charging is not greater than a rate threshold, thus obtaining the battery cell under test after charging and a subset of constant voltage charging data. The charged battery cell under test is then left to stand for a preset time to obtain a standing battery cell under test. Finally, the standing battery cell under test is controlled to undergo constant current discharging, and data is collected every sampling duration threshold until the cell voltage corresponding to the standing battery cell under test is not greater than a second threshold voltage, thus obtaining the battery cell under test after charging and discharging and a subset of discharging data. Therefore, the accuracy of the acquired data set can be improved. Next, the cell capacity cycle reduction value is determined based on the collected data set. Therefore, calculating the cell capacity cycle reduction value of the cell under test using the collected data is simple and cost-effective. Finally, the number of first waveform cycles corresponding to the constant current percentage waveform information is determined based on the cell capacity cycle reduction value. During the first charge-discharge cycle of the cell under test, the number of first charge-discharge cycles and the number of second waveform cycles corresponding to the constant current percentage waveform information are determined. During the second charge-discharge cycle of the cell under test, the number of second charge-discharge cycles corresponding to any waveform cycle of the constant current percentage waveform information is determined. Based on the number of first charge-discharge cycles, the number of second charge-discharge cycles, the number of first waveform cycles, and the number of second charge-discharge cycles, the cell cycle life of the cell under test is determined. Therefore, determining the cell cycle life of the cell under test using the cell capacity cycle reduction value eliminates the need to test other electrochemical parameters or use empirical models, resulting in low prediction cost and high accuracy.

[0109] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0110] The following are embodiments of the apparatus disclosed herein, which can be used to execute embodiments of the method disclosed herein. For details not disclosed in the apparatus embodiments of this disclosure, please refer to the embodiments of the method disclosed herein.

[0111] Please see Figure 7 This illustration shows a structural schematic diagram of a battery cell cycle life prediction device provided in an embodiment of this disclosure. The battery cell cycle life prediction device can be implemented as all or part of a device through software, hardware, or a combination of both. The battery cell cycle life prediction device 700 includes a data acquisition unit 701, a capacity determination unit 702, and a life prediction unit 703; wherein,

[0112] The data acquisition unit 701 is used to acquire data once every sampling time threshold during the cyclic charging and discharging process of the battery cell under test, and obtain the acquired data set.

[0113] The capacity determination unit 702 is used to determine the periodic reduction value of the cell capacity based on the collected data set;

[0114] The life prediction unit 703 is used to determine the cell cycle life of the cell under test based on the cell capacity reduction value over time.

[0115] According to some embodiments, the collected data set includes a subset of charging collected data, a subset of constant voltage charging collected data, and a subset of discharging collected data. The data acquisition unit 701 is used to perform data acquisition once every sampling duration threshold. When obtaining the collected data set, it is specifically used for:

[0116] During any charge and discharge process, the cell under test is controlled to perform constant current charging, and data is collected once every sampling time threshold until the cell voltage corresponding to the cell under test is not less than the first threshold voltage, so as to obtain the cell under test after constant current charging and the constant current charging data subset.

[0117] After constant current charging, the test cell is charged with constant voltage, and data is collected once every sampling time threshold until the discharge rate of the test cell after constant current charging is not greater than the rate threshold, so as to obtain the charged test cell and the constant voltage charging data subset.

[0118] The battery cell under test is left to stand for a preset time after charging to obtain the battery cell under test after standing.

[0119] The test cell is controlled to undergo constant current discharge after being left to stand, and data is collected once every sampling time threshold until the cell voltage corresponding to the test cell after being left to stand is not greater than the second threshold voltage. The test cell after charging and discharging and the discharge data subset are obtained, wherein the second threshold voltage is less than the first threshold voltage.

[0120] According to some embodiments, when the data acquisition unit 701 is used to control the battery cell under test to perform constant current charging, it is specifically used for:

[0121] Obtain the preset discharge rate;

[0122] The battery cell under test is controlled to perform constant current charging based on a preset discharge rate.

[0123] According to some embodiments, any of the collected data in the data set includes cell capacity data. When the capacity determination unit 702 determines the cell capacity period reduction value based on the collected data set, it is specifically used for:

[0124] The cell capacity data obtained after data acquisition within any sampling duration threshold is accumulated by calculus to obtain the periodic decrease value of cell capacity.

[0125] According to some embodiments, when the capacity determination unit 702 determines the periodic reduction value of the cell capacity based on the collected data set, it is specifically used for:

[0126] The constant current ratio waveform information corresponding to the battery cell under test is determined based on the collected data set.

[0127] Determine the maximum and minimum constant current percentage values ​​within any period of the constant current percentage waveform information;

[0128] The cell capacity period reduction value is determined based on the first cell capacity data corresponding to the maximum constant current percentage value and the second cell capacity data corresponding to the minimum constant current percentage value.

[0129] According to some embodiments, when the lifespan prediction unit 703 determines the cycle life of the battery cell under test based on the battery cell capacity cycle reduction value, it is specifically used for:

[0130] The number of the first waveform cycle corresponding to the constant current percentage waveform information is determined based on the periodic decrease value of the cell capacity.

[0131] During the first cycle of charging and discharging of the cell under test, determine the number of the first cycle of charging and discharging and the number of the second waveform cycles corresponding to the constant current percentage waveform information.

[0132] During the second cycle of charging and discharging of the cell under test, determine the number of the second cycle of charging and discharging when any waveform period of the constant current percentage waveform information appears.

[0133] The cycle life of the battery cell under test is determined based on the number of charge-discharge cycles in the first cycle, the number of charge-discharge cycles in the second cycle, the number of cycles in the first waveform, and the number of charge-discharge cycles in the second cycle.

[0134] According to some embodiments, when the lifespan prediction unit 703 determines the cycle life of the battery cell under test based on the number of first charge-discharge cycles, the number of second charge-discharge cycles, the number of first waveform cycles, and the number of second charge-discharge cycles, it is specifically used for:

[0135] The number of charge-discharge cycles corresponding to the cell under test is determined based on the number of charge-discharge cycles in the first cycle, the number of charge-discharge cycles in the second cycle, the number of cycles in the first waveform, and the number of charge-discharge cycles in the second cycle.

[0136] The cell cycle life of the cell under test is determined based on the number of charge-discharge cycles in the third cycle.

[0137] In summary, the apparatus provided in this embodiment acquires data at intervals of a sampling duration threshold during the cyclic charging and discharging process of the battery cell under test, obtaining a data set. The capacity determination unit determines the battery cell capacity reduction value based on the acquired data set, and the lifespan prediction unit determines the corresponding battery cell cycle life based on the battery cell capacity reduction value. Therefore, determining the battery cell cycle life by calculating the battery cell capacity reduction value based on the acquired data eliminates the need to test other electrochemical parameters or use empirical models for fitting, resulting in low prediction cost and high accuracy.

[0138] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0139] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0140] Figure 8 A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present disclosure is shown. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0141] like Figure 8As shown, the electronic device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. The RAM 803 may also store various programs and data required for the operation of the electronic device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0142] Multiple components in electronic device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of displays, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows electronic device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0143] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 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 computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as the cell cycle life prediction method. For example, in some embodiments, the cell cycle life prediction method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of the cell cycle life prediction method described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the cell cycle life prediction method by any other suitable means (e.g., by means of firmware).

[0144] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0145] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0146] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0147] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; 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 sound input, voice input, or tactile input).

[0148] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), the Internet, and blockchain networks.

[0149] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0150] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0151] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for predicting the cycle life of a battery cell, characterized in that, include: During the cyclic charging and discharging process of the battery cell under test, data is collected once every sampling time threshold to obtain a set of collected data. The periodic reduction value of the battery cell capacity is determined based on the collected data set; The cell cycle life of the cell under test is determined based on the cell capacity period reduction value. Any data collected in the data set includes cell capacity data. Determining the cell capacity periodic reduction value based on the data set includes: The cell capacity data obtained after data acquisition within any of the aforementioned sampling duration thresholds are accumulated by calculus to obtain the periodic decrease value of cell capacity. The step of determining the periodic reduction value of the cell capacity based on the collected data set includes: The constant current ratio waveform information corresponding to the battery cell under test is determined based on the collected data set. Determine the maximum and minimum constant current percentage values ​​within any period of the constant current percentage waveform information; The cell capacity period reduction value is determined based on the first cell capacity data corresponding to the maximum constant current percentage value and the second cell capacity data corresponding to the minimum constant current percentage value.

2. The method according to claim 1, characterized in that, The collected data set includes a subset of charging collected data, a subset of constant voltage charging collected data, and a subset of discharging collected data. Data is collected once every sampling duration threshold to obtain the collected data set, which includes: During any charge and discharge process, the cell under test is controlled to perform constant current charging, and data is collected once every sampling time threshold until the cell voltage corresponding to the cell under test is not less than the first threshold voltage, so as to obtain the cell under test after constant current charging and the subset of constant current charging data. The test cell after constant current charging is controlled to undergo constant voltage charging, and data is collected once every sampling time threshold until the discharge rate of the test cell after constant current charging is not greater than the rate threshold, so as to obtain the test cell after charging and the subset of constant voltage charging data. The charged battery cell under test is left to stand for a preset time to obtain the battery cell under test after standing. The test cell is controlled to undergo constant current discharge after being left to stand, and data is collected once every sampling time threshold until the cell voltage corresponding to the test cell after being left to stand is not greater than the second threshold voltage. The test cell after charging and discharging and the discharge data subset are obtained, wherein the second threshold voltage is less than the first threshold voltage.

3. The method according to claim 2, characterized in that, The control of the battery cell under test to perform constant current charging includes: Obtain the preset discharge rate; The battery cell under test is controlled to perform constant current charging based on the preset discharge rate.

4. The method according to claim 1, characterized in that, The step of determining the cell cycle life corresponding to the cell under test based on the cell capacity cycle reduction value includes: The number of the first waveform cycle corresponding to the constant current percentage waveform information is determined based on the periodic decrease value of the battery cell capacity. During the first cycle of charging and discharging of the battery cell under test, the number of the first cycle of charging and discharging and the number of the second waveform cycles corresponding to the constant current percentage waveform information are determined. During the second charge-discharge cycle of the cell under test, the number of the second charge-discharge cycle corresponding to the occurrence of any waveform period of the constant current percentage waveform information is determined. The cell cycle life of the cell under test is determined based on the first charge-discharge cycle count, the second charge-discharge cycle count, the first waveform cycle count, and the second charge-discharge cycle count.

5. The method according to claim 4, characterized in that, The step of determining the cell cycle life of the cell under test based on the first charge-discharge cycle count, the second charge-discharge cycle count, the first waveform cycle count, and the second charge-discharge cycle count includes: The third charge / discharge cycle number is determined based on the first charge / discharge cycle number, the second charge / discharge cycle number, the first waveform cycle number, and the second charge / discharge cycle number. The cell cycle life of the cell under test is determined based on the number of charge-discharge cycles in the third cycle.

6. A cell cycle life prediction device, characterized in that, The apparatus implements the apparatus of claim 1, the apparatus comprising: The data acquisition unit is used to acquire data once every sampling time threshold during the cyclic charging and discharging process of the battery cell under test, and obtain the acquired data set. A capacity determination unit is used to determine the periodic reduction value of the cell capacity based on the collected data set. The life prediction unit is used to determine the cell cycle life of the cell under test based on the cell capacity period reduction value.

7. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

8. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

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