Power battery quality assurance evaluation method and electronic equipment

Abstract

The invention discloses a power battery quality assurance evaluation method and electronic equipment, and the method comprises the steps: calculating the actual battery health state value of a battery according to the current use habit of a user based on an attenuation model of the power battery, and the attenuation model is constructed based on the actual working state parameters of the power battery, the actual working state parameters meet error limiting conditions; obtaining the total accumulative discharge capacity of the power battery when the actual battery health state value reaches the committed battery health state value of the quality guarantee commitment; and obtaining a total mileage based on the total accumulated discharge capacity, and obtaining a quality assurance evaluation result of the power battery based on the total mileage. According to the method, the quality assurance condition of the power battery can be evaluated in real time based on the actual use condition of the power battery after the power battery serves or is delivered to a customer, and the accuracy of quality assurance evaluation of the power battery is improved.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and in particular to a method for evaluating the quality of power batteries and electronic devices. Background Technology

[0002] In related technologies, the warranty assessment of power batteries is limited to the laboratory stage. The method is to use the cycle life and calendar life tests of power batteries to assess the number of cycles or the number of days the power battery can be stored to reach a specific SOH (State of Health). However, the laboratory test environment is very different from the actual operating conditions of power batteries. After the power battery is actually put into service, the warranty assessment will become very difficult and the accuracy of the warranty assessment will be low. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. Therefore, one objective of this invention is to propose a method for evaluating the warranty status of a power battery. This method can assess the warranty status of a power battery in real time based on its actual operating conditions after it has entered service or been delivered to the customer, thereby improving the accuracy of power battery warranty assessment.

[0004] The second objective of this invention is to provide an electronic device.

[0005] To address the aforementioned problems, a first aspect of the present invention provides a method for assessing the quality of a power battery, comprising: calculating the actual battery health status value of the battery according to the user's current usage habits based on a degradation model of the power battery, wherein the degradation model is constructed based on the actual operating state parameters of the power battery, and the actual operating state parameters satisfy error limitation conditions; obtaining the total cumulative discharge capacity of the power battery when the actual battery health status value reaches the promised battery health status value under the warranty commitment; obtaining the total mileage based on the total cumulative discharge capacity; and obtaining the quality assessment result of the power battery based on the total mileage.

[0006] According to the power battery warranty assessment method of the present invention, after the power battery is put into service or delivered to the customer, the actual battery health status value of the battery is calculated based on the actual use conditions of the power battery and the degradation model of the power battery according to the user's current usage habits. The total cumulative discharge capacity of the power battery when the actual battery health status value reaches the promised battery health status value of the warranty commitment is obtained. The total mileage is obtained through the total cumulative discharge capacity, thereby assessing the warranty status of the power battery in real time and improving the accuracy of the power battery warranty assessment.

[0007] In some embodiments, the actual operating state parameters include battery history parameters when the battery undergoes state of charge correction, a first battery full charge parameter at the start of full charge after state of charge correction, and a second battery full charge parameter at the end of full charge. The battery history parameters include historical battery state of charge values, historical cumulative discharge capacity, and historical cumulative charge capacity. The first battery full charge parameter includes the cumulative discharge capacity at the start time. The second battery full charge parameter includes the cumulative discharge capacity at the end time, the cumulative charge capacity at the end time, and the state of charge value at the end time.

[0008] In some embodiments, constructing the attenuation model based on the actual operating state parameters of the power battery includes: calculating the battery health state value when the battery is fully charged based on the battery's historical state of charge value, the battery's historical cumulative discharge capacity, the battery's historical cumulative charging capacity, the cumulative discharge capacity at the end time, the cumulative charging capacity at the end time, and the state of charge value at the end time, wherein the state of charge value at the end time is the full charge value.

[0009] In some embodiments, when the cumulative discharge capacity at the start time, the historical cumulative discharge capacity of the battery, and the cumulative discharge capacity at the end time meet the error limit condition, the battery health status value when the battery is fully charged is valid; when the cumulative discharge capacity at the start time, the historical cumulative discharge capacity of the battery, and the cumulative discharge capacity at the end time do not meet the error limit condition, the battery health status value when the battery is fully charged is invalid.

[0010] In some embodiments, the error limiting conditions include: disAh1– disAh0 ≤ Capacity Deviation Threshold; disAh2 – disAh1 ≤ Capacity deviation difference; Wherein, disAh1 is the cumulative discharge capacity at the start time, disAh0 is the historical cumulative discharge capacity of the battery, and disAh2 is the cumulative discharge capacity at the end time.

[0011] In some embodiments, the capacity deviation threshold is 5·Ce, where Ce is the rated capacity of the power battery.

[0012] In some embodiments, constructing the degradation model based on the actual operating state parameters of the power battery further includes: obtaining an initial degradation model using the Arrhenius formula based on the battery operating temperature, the cumulative charging capacity at the end time, and the battery health state value when the battery is fully charged.

[0013] In some embodiments, constructing the degradation model based on the actual operating state parameters of the power battery further includes: obtaining multiple initial degradation models corresponding to the battery health state values ​​when the battery is fully charged; constructing a Monte Carlo-based probability distribution based on the multiple initial degradation models; and obtaining the model parameters of the initial degradation models based on the probability distribution to obtain the degradation model.

[0014] A second aspect of the present invention provides an electronic device, including: a processor; a memory communicatively connected to the processor; the memory storing a computer program executable by the processor, wherein the processor executes the computer program to implement the power battery warranty assessment method described in the above embodiments.

[0015] According to the electronic device of the present invention, the power battery warranty assessment program can be stored in the memory. When implementing the power battery warranty assessment method, based on the actual operating conditions of the power battery, the actual battery health status value of the battery according to the user's current usage habits is calculated through the power battery degradation model, and the total cumulative discharge capacity of the power battery when the actual battery health status value reaches the promised battery health status value of the warranty commitment is obtained. The total mileage is obtained through the total cumulative discharge capacity, thereby assessing the warranty status of the power battery in real time and improving the accuracy of the power battery warranty assessment.

[0016] In some embodiments, the electronic device includes a vehicle or a cloud server.

[0017] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0018] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of a power battery warranty assessment method according to an embodiment of the present invention; Figure 2 A flowchart illustrating the process of calculating the SOH value of a power battery according to an embodiment of the present invention; Figure 3 This is a flowchart of the attenuation model construction steps according to an embodiment of the present invention; Figure 4 This is a structural block diagram of an electronic device according to an embodiment of the present invention.

[0019] Figure label: 100 electronic devices; Processor 101; Memory 102. Detailed Implementation

[0020] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention are described in detail below.

[0021] In today's era of rapid development of electric vehicles, the lifespan of the power battery, as a core component, directly affects the overall performance of electric vehicles.

[0022] As power batteries age, their capacity decreases. The degree of battery aging is assessed using battery health status (SOH). SOH is typically expressed as the ratio of the current fully discharged capacity to the capacity at the first discharge. Accurate SOH estimation directly impacts battery performance and provides crucial information for replacing aging batteries, significantly contributing to optimal battery performance and safe operation. Battery warranties are typically defined as X years and XX kilometers of battery degradation to a specific SOH level. Accurate warranty assessments are of great importance to both battery manufacturers and automakers.

[0023] Currently, the warranty assessment of power batteries is limited to the laboratory stage. The method is to use the cycle life and calendar life tests of power batteries to assess the number of cycles or the number of days the power battery can be stored after it has degraded to a specific state of harm (SOH). However, the laboratory testing environment is very different from the actual operating conditions of power batteries. After the power battery is actually put into service, the warranty assessment will become very difficult and the accuracy of the warranty assessment will be low.

[0024] To address the above issues, the first aspect of this invention provides a method for assessing the warranty status of a power battery. This method can assess the warranty status of a power battery in real time based on its actual operating conditions after it has entered service or been delivered to a customer, thereby improving the accuracy of the power battery warranty assessment.

[0025] The following is for reference. Figure 1 A method for evaluating the warranty of a power battery according to an embodiment of the first aspect of the present invention is described, such as... Figure 1 As shown, the method includes at least steps S01-S03.

[0026] Step S01: Based on the degradation model of the power battery, calculate the actual battery health status value according to the user's current usage habits. The degradation model is constructed based on the actual working state parameters of the power battery.

[0027] Among them, the actual working state parameters meet the error limit conditions.

[0028] Specifically, the actual state of health (SHS) value of a power battery is a core indicator for measuring the battery's current performance relative to its initial factory state, directly reflecting the battery's aging degree, remaining lifespan, and usability. Since different users use power batteries differently, their SHS values ​​also differ. To accurately obtain the actual SHS value, a degradation model is constructed based on the actual operating state parameters of the power battery, which satisfy error constraints. After constructing the degradation model, the actual SHS value of the battery is calculated according to the user's current usage habits; thus, the actual SHS value for different user habits can be determined.

[0029] Step S02: Obtain the total cumulative discharge capacity of the power battery when the actual battery health status value reaches the promised battery health status value under the warranty.

[0030] Specifically, after calculating the actual battery health status value, it is determined whether the actual battery health status value reaches the promised battery health status value under the warranty. If the actual battery health status value reaches the promised battery health status value under the warranty, the total cumulative discharge capacity of the power battery is then obtained.

[0031] For example, if the promised battery health status value is 80%, and the actual battery health status value is 85%, it is not necessary to obtain the total cumulative discharge capacity of the power battery. When the actual battery health status value reaches the promised battery health status value under the warranty, that is, when the actual battery health status value is 80%, the total cumulative discharge capacity of the power battery is obtained. The total cumulative discharge capacity of the battery is the total discharge capacity from the start of service to the present.

[0032] Step S03: Obtain the total mileage based on the total cumulative discharge capacity, and obtain the warranty assessment result of the power battery based on the total mileage.

[0033] Specifically, after obtaining the total cumulative discharge capacity, the total mileage can be calculated by the average power consumption. The total cumulative discharge capacity and average power consumption can be obtained through the battery management system. The total mileage is calculated by dividing the total cumulative discharge capacity by the average power consumption, and the warranty assessment result of the power battery is obtained based on the total mileage.

[0034] Currently, the warranty policy for power batteries generally adopts a triple limitation condition of "time + mileage + state of health (SOH)", that is: within X years or XX0,000 kilometers (whichever comes first), if the SOH of the power battery degrades to below X%, it can enjoy free repair or replacement.

[0035] For example, if the State of Health (SOH) of the power battery drops below 80% within 8 years or 120,000 kilometers (whichever comes first), it is eligible for free repair or replacement. According to the power battery warranty assessment method of this invention, the actual battery health status value can be accurately calculated based on the power battery degradation model, thereby obtaining the total mileage for the power battery warranty assessment. If the actual battery health status value calculated using the power battery degradation model is 85% and the total mileage is 100,000 kilometers, the warranty assessment result is that the battery does not need to be replaced. If the actual battery health status value calculated using the power battery degradation model is 70% and the total mileage is 120,000 kilometers, the warranty assessment result is that the assessment is passed, and the power battery will be replaced free of charge for the user.

[0036] According to the power battery warranty assessment method of the present invention, after the power battery is put into service or delivered to the customer, the actual battery health status value of the battery is calculated based on the actual use conditions of the power battery and the degradation model of the power battery according to the user's current usage habits. The total cumulative discharge capacity of the power battery when the actual battery health status value reaches the promised battery health status value of the warranty commitment is obtained. The total mileage is obtained through the total cumulative discharge capacity, thereby assessing the warranty status of the power battery in real time and improving the accuracy of the power battery warranty assessment.

[0037] In some embodiments, the actual operating state parameters include battery history parameters when the battery undergoes state of charge correction, first battery full charge parameters at the start of full charge after state of charge correction, and second battery full charge parameters at the end of full charge. The battery history parameters include historical battery state of charge values, historical cumulative discharge capacity, and historical cumulative charge capacity. The first battery full charge parameters include the cumulative discharge capacity at the start time. The second battery full charge parameters include the cumulative discharge capacity at the end time, the cumulative charge capacity at the end time, and the state of charge value at the end time.

[0038] Specifically, when constructing a power battery degradation model based on the actual working state parameters of the power battery, it is necessary to obtain the battery's historical parameters when the battery undergoes state of charge correction, the first battery full charge parameters at the start of full charge after the state of charge correction, and the second battery full charge parameters at the end of full charge.

[0039] Battery history parameters include historical state of charge (SOC) value, historical cumulative discharge capacity, and historical cumulative charge capacity. Based on historical power battery data, data that meets the SOC correction conditions are found. When SOC triggers OCV (Open Circuit Voltage) correction or full charge correction, the accuracy of SOC is the highest and the error is the smallest. This is recorded as the historical SOC value SOC0, the historical cumulative discharge capacity is recorded as disAh0, and the historical cumulative charge capacity is recorded as chgAh0.

[0040] When charging occurs and the current charging is full, obtain the full charge parameters of the first battery, that is, the parameters at the start of charging. Record the cumulative discharge capacity at the start of charging as disAh1, the cumulative charge capacity at the start of charging as chgAh1, and the SOC value at the start of charging as SOC1. Obtain the full charge parameters of the second battery, that is, the parameters at the end of charging. Record the cumulative discharge capacity at the end of charging as disAh2, the cumulative charge capacity at the end of charging as chgAh2, and the SOC value at the end of charging as SOC2.

[0041] In some embodiments, a degradation model is constructed based on the actual operating state parameters of the power battery, including: The battery health status value at full charge is calculated based on the battery's historical state of charge value, historical cumulative discharge capacity, historical cumulative charge capacity, cumulative discharge capacity at the end time, cumulative charge capacity at the end time, and state of charge value at the end time. The state of charge value at the end time is the full charge value.

[0042] Specifically, since the SOC of the power battery is most accurate and has the smallest error after full charge correction, the historical parameters of the battery after full charge correction can be used as the first full charge parameters; that is, the historical SOC value of the battery SOC0 = the SOC value of the battery at the start of charging SOC1, the cumulative discharge capacity at the start of charging is disAh1 = the historical cumulative discharge capacity is disAh0, and the cumulative charge capacity at the start of charging is chgAh1 = the historical cumulative charge capacity of the battery is chgAh0. Therefore, the formula for calculating the SOC of the power battery is: ; Where Ce is the rated capacity of the power battery, which is a constant; by adjusting the SOH value in the formula, the SOC2 value is made exactly 100 when fully charged, thus obtaining the SOH of the power battery pack at this time.

[0043] For example, if the SOC2 value reaches exactly 100 when fully charged using the above formula, and the SOH of the power battery pack is 80%, then the SOH value of the power battery pack is 80%.

[0044] In some embodiments, the battery health status value at full charge is valid when the cumulative discharge capacity at the start time, the historical cumulative discharge capacity of the battery, and the cumulative discharge capacity at the end time meet the error limit conditions; and the battery health status value at full charge is invalid when the cumulative discharge capacity at the start time, the historical cumulative discharge capacity of the battery, and the cumulative discharge capacity at the end time do not meet the error limit conditions.

[0045] Specifically, to avoid errors caused by battery self-discharge and current sampling during full charging, error limits are set. If the cumulative discharge capacity at the start, the historical cumulative discharge capacity, and the cumulative discharge capacity at the end meet the error limits, it indicates that the errors caused by battery self-discharge and current sampling have a small impact on the battery health status value, and the battery health status value at full charge is valid. If the cumulative discharge capacity at the start, the historical cumulative discharge capacity, and the cumulative discharge capacity at the end do not meet the error limits, it indicates that the errors caused by battery self-discharge and current sampling have a significant impact on the battery health status value, and the battery health status value at full charge is invalid.

[0046] In some embodiments, the error limiting conditions include: disAh1– disAh0 ≤ Capacity Deviation Threshold; disAh2 – disAh1 ≤ Capacity deviation difference; Where disAh1 is the cumulative discharge capacity at the start time, disAh0 is the historical cumulative discharge capacity of the battery, and disAh2 is the cumulative discharge capacity at the end time.

[0047] Specifically, to avoid errors caused by battery self-discharge, it is necessary to ensure that the deviation between the cumulative discharge capacity at the beginning and the battery's historical cumulative discharge capacity is less than the capacity deviation difference, and to ensure that the deviation between the cumulative discharge capacity at the end and the cumulative discharge capacity at the beginning is less than the capacity deviation difference.

[0048] In some embodiments, the capacity deviation threshold is 5·Ce, where Ce is the rated capacity of the power battery.

[0049] Specifically, to avoid errors caused by the self-discharge of the power battery and the current sampling, the following constraints are set: disAh1 – disAh0 ≤ 5·Ce; disAh2 – disAh1 ≤ 5·Ce. If these conditions are met, the calculated SOH is the SOH of the power battery at this time. If these conditions are not met, the calculation is invalid and needs to be recalculated.

[0050] For example, the calculation process for the SOH value of a power battery is as follows: Figure 2As shown: Step S1, Begin.

[0051] Step S2, state of charge correction.

[0052] Step S3: Record the battery's historical cumulative discharge capacity disAh0 at this time.

[0053] Step S4: Is it fully charged or fully discharged? If yes, proceed to step S5; otherwise, proceed to step S2.

[0054] Step S5: Record the cumulative discharge capacity disAh1 at the start time and the cumulative discharge capacity disAh2 at the end time.

[0055] Step S6, if disAh1 – disAh0 ≤ 5·Ce, disAh2 – disAh1 ≤ 5·Ce? If yes, proceed to step S7; otherwise, proceed to step S1.

[0056] Step S7: Adjust the health status value so that the state of charge value at full charge is exactly 100.

[0057] Step S8: Obtain the health status value of the battery pack.

[0058] In some embodiments, the degradation model is constructed based on the actual operating state parameters of the power battery, and further includes: obtaining an initial degradation model based on the battery operating temperature, the cumulative charging capacity at the end time, and the battery health state value when the battery is fully charged, using the Arrhenius formula.

[0059] Specifically, the Arrhenius equation is a classic empirical formula describing the change of the rate constant of a chemical reaction with temperature. After obtaining the battery operating temperature, cumulative charging capacity at the end of the charging period, and battery health status value at full charge, the initial degradation model is obtained using the Arrhenius formula: SOH = f(T, Ah); Where T is the battery operating temperature, Ah is the cumulative charging capacity at the end time, SOH is the battery health status value when the battery is fully charged, and f is the model parameter.

[0060] In some embodiments, constructing a degradation model based on the actual operating state parameters of the power battery further includes: Multiple initial degradation models are obtained corresponding to the battery health status values ​​of multiple batteries when fully charged; a Monte Carlo-based probability distribution is constructed based on the multiple initial degradation models; the model parameters of the initial degradation models are obtained based on the probability distribution to obtain the degradation model.

[0061] Specifically, when a sufficient number of SOH parameters are collected, multiple f parameters may be calculated. Based on these multiple f parameters, a Monte Carlo-based probability distribution can be constructed to obtain the battery's degradation parameters. The core of the Monte Carlo probability distribution lies in using random sampling to model and calculate the probability distribution, and its effectiveness is highly dependent on the probability distribution used. After collecting SOH corresponding to different cumulative discharge capacities (i.e., disAh2), the f parameters are obtained by training the formula according to the Arrhenius equation SOH=f(T, Ah). The form of the f model parameters varies depending on the type of power battery. For example, SOH=a·exp(-b / T)·(Ah^c), where a, b, and c can be called model parameters, which are the parameters of power battery degradation. Based on the degradation parameters, the mileage converted from the cumulative discharge capacity when the battery reaches the warranty-committed SOH can be calculated according to current usage habits (e.g., how much cumulative discharge capacity per day, what the daily operating temperature is), to assess whether the warranty can be fulfilled.

[0062] For example, the steps for constructing a decay model are as follows: Figure 3 As shown: Step S9, SOH=f(T,Ah).

[0063] Step S10: Fit the model parameters f.

[0064] Step S11: Based on the Monte Carlo distribution, construct the probability function to obtain the model parameters f.

[0065] Step S12: After obtaining the model parameters f, evaluate the battery warranty according to the Arrhenius formula.

[0066] This invention calculates the State of Harm (SOH) value of a power battery in real time based on actual operating conditions. According to different degradation parameters and a probability distribution, it obtains universally applicable degradation parameters for this battery. Compared to existing technologies, this invention has more lenient application conditions and allows for greater computational resources. Furthermore, the increased computational resources result in high calculation accuracy. Based on error constraints, the accuracy of a single SOH calculation can be controlled within 5%. Moreover, based on multiple f-model parameters, error fluctuations caused by single calculations can be eliminated, making the warranty assessment results more accurate.

[0067] A second aspect of the present invention provides an electronic device, such as... Figure 4 As shown, the electronic device 100 may include at least one processor 101 and a memory 102.

[0068] At least one processor 101 is connected to a memory 102; the memory 102 stores a computer program that can be executed by at least one processor 101, and the at least one processor 101 executes the computer program to implement a power battery quality assurance assessment method.

[0069] According to the electronic device of the present invention, the power battery warranty assessment program can be stored in the memory. When implementing the power battery warranty assessment method, based on the actual operating conditions of the power battery, the actual battery health status value of the battery according to the user's current usage habits is calculated through the power battery degradation model, and the total cumulative discharge capacity of the power battery when the actual battery health status value reaches the promised battery health status value of the warranty commitment is obtained. The total mileage is obtained through the total cumulative discharge capacity, thereby assessing the warranty status of the power battery in real time and improving the accuracy of the power battery warranty assessment.

[0070] In some embodiments, the electronic device includes a vehicle or a cloud server.

[0071] Specifically, the electronic device can be a vehicle or a cloud server. When the electronic device is a vehicle, the power battery warranty assessment method can be used to assess the warranty of the vehicle's power battery and determine whether the warranty assessment result of the power battery in the vehicle is satisfactory.

[0072] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, substrate, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0073] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for evaluating the quality of power batteries, characterized in that, include: Based on the degradation model of the power battery, the actual battery health status value is calculated according to the user's current usage habits. The degradation model is constructed based on the actual working state parameters of the power battery, wherein the actual working state parameters meet the error limit conditions. The total cumulative discharge capacity of the power battery when the actual battery health state value reaches the promised battery health state value under the warranty commitment; The total mileage is obtained based on the total cumulative discharge capacity, and the warranty assessment result of the power battery is obtained based on the total mileage.

2. The power battery quality assurance assessment method according to claim 1, characterized in that, The actual working state parameters include the battery history parameters when the battery undergoes state of charge correction, the first battery full charge parameters at the start of full charge after the state of charge correction, and the second battery full charge parameters at the end of full charge. The battery history parameters include the battery history state of charge value, the battery history cumulative discharge capacity, and the battery history cumulative charge capacity. The full charge parameters of the first battery include the cumulative discharge capacity at the start time; The second battery's full charge parameters include the cumulative discharge capacity at the end of the charge, the cumulative charge capacity at the end of the charge, and the state of charge value at the end of the charge.

3. The power battery quality assurance assessment method according to claim 2, characterized in that, The degradation model is constructed based on the actual operating state parameters of the power battery, including: The battery health status value when the battery is fully charged is calculated based on the battery's historical state of charge value, the battery's historical cumulative discharge capacity, the battery's historical cumulative charge capacity, the cumulative discharge capacity at the end time, the cumulative charge capacity at the end time, and the state of charge value at the end time, wherein the state of charge value at the end time is the full charge value.

4. The power battery quality assurance assessment method according to claim 3, characterized in that, When the cumulative discharge capacity at the start time, the historical cumulative discharge capacity of the battery, and the cumulative discharge capacity at the end time meet the error limit condition, the battery health status value when the battery is fully charged is valid. If the cumulative discharge capacity at the start time, the historical cumulative discharge capacity of the battery, and the cumulative discharge capacity at the end time do not meet the error limit condition, the battery health status value when the battery is fully charged is invalid.

5. The power battery quality assurance assessment method according to claim 4, characterized in that, The error limiting conditions include: disAh1– disAh0 ≤ Capacity Deviation Threshold; disAh2 – disAh1 ≤ Capacity deviation difference; Wherein, disAh1 is the cumulative discharge capacity at the start time, disAh0 is the historical cumulative discharge capacity of the battery, and disAh2 is the cumulative discharge capacity at the end time.

6. The power battery warranty assessment method according to claim 5, characterized in that, The capacity deviation threshold is 5·Ce, where Ce is the rated capacity of the power battery.

7. The power battery quality assurance assessment method according to any one of claims 3-6, characterized in that, The degradation model, constructed based on the actual operating state parameters of the power battery, further includes: Based on the battery operating temperature, the cumulative charging capacity at the end time, and the battery health status value when the battery is fully charged, an initial degradation model is obtained using the Arrhenius formula.

8. The power battery quality assurance assessment method according to claim 7, characterized in that, The degradation model, constructed based on the actual operating state parameters of the power battery, further includes: Obtain multiple initial degradation models corresponding to the battery health state values ​​when the battery is fully charged; A Monte Carlo-based probability distribution is constructed based on multiple decay initialization models; The model parameters of the initial decay model are obtained based on the probability distribution, thus obtaining the decay model.

9. An electronic device, characterized in that, include: processor; The memory is communicatively connected to the processor; The memory stores a computer program that can be executed by the processor, and when the processor executes the computer program, it implements the power battery quality assurance assessment method according to any one of claims 1-8.

10. The electronic device according to claim 9, characterized in that, The electronic device may include a vehicle or a cloud server.

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