A battery quality assurance rapid assessment method, device and medium based on actual vehicle operating conditions

Abstract

The present invention provides a method for estimating the warranty period of automotive batteries. The method comprises obtaining battery life data provided by a battery manufacturer and calculating a benchmark battery life attenuation coefficient under different operating conditions. Based on actual vehicle operating condition data from a customer, the method determines the proportion of various influencing factors under the actual vehicle operating conditions, wherein the influencing factors include temperature and discharge rate factors. Based on the battery life attenuation coefficient and the influencing factors from the actual vehicle operating condition data, the method calculates the single capacity throughput required for one trip and the total capacity throughput for one year of driving. Based on the actual vehicle operating condition data from the customer and the battery life data provided by the battery manufacturer, the method calculates the theoretical warranty period. Based on the calendar attenuation coefficient, the method calculates a recommended vehicle warranty period. This method addresses the technical problem that current battery health status prediction research is based on laboratory test data and cannot quickly predict the battery health status under actual vehicle operating conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile battery maintenance, and in particular to a method, device and medium for rapid battery quality assurance evaluation based on actual vehicle operating conditions. Background Art

[0002] The health status of a power battery is a measure of the degree of battery degradation. Accurate prediction of the battery health status can ensure the safe and reliable operation of the power battery system, provide technical support for the energy and safety management of electric vehicles, and provide information support for the secondary utilization of power batteries.

[0003] However, power batteries are inherently highly time-varying and nonlinear systems with limited measurable parameters, coupled characteristics, and degradation over time. Accurately predicting their state of health is challenging. Furthermore, the vast majority of current research on battery health prediction is based on laboratory test data, which differs significantly from actual battery operation and cannot accurately predict battery health under real-world vehicle conditions.

[0004] In view of this, the inventors propose a method, device and medium for rapid battery quality assurance evaluation based on actual vehicle operating conditions. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention proposes a method, equipment and medium for rapid battery quality assessment based on actual vehicle operating conditions to solve the technical problem in the existing technology that most of the current prediction research on battery health status is based on test data under laboratory conditions. Due to certain differences from the actual operating conditions of the battery, it is impossible to quickly predict the battery health status under actual vehicle operating conditions.

[0006] The technical solution adopted by the present invention is a method for estimating the warranty period of an automobile battery, comprising:

[0007] S1. Obtain the customer's actual vehicle operating condition data;

[0008] S2. Input the customer's actual vehicle operating condition data into the automobile battery warranty estimation calculation model to obtain the recommended automobile warranty period.

[0009] Furthermore, the customer's actual vehicle operating condition data is input into the car battery warranty estimation calculation model, and the recommended car warranty period includes:

[0010] S21. Obtain battery life data provided by the battery manufacturer and calculate the battery life attenuation coefficient under different working conditions;

[0011] S22. Determine the proportion of each influencing factor under the actual vehicle operating condition based on the customer's actual vehicle operating condition data, where the influencing factors include temperature influencing factor, DOD influencing factor, and discharge rate influencing factor;

[0012] S23. Calculate the single capacity throughput required for one trip and the total capacity throughput for one year based on the customer's actual vehicle operating condition data, battery life attenuation coefficient, and influencing factors;

[0013] S24. Calculate the theoretical warranty period based on the customer's actual vehicle operating condition data and the battery life data provided by the battery manufacturer.

[0014] Furthermore, S23, based on the customer's actual vehicle operating condition data, battery life attenuation coefficient and influencing factors, the single capacity throughput required for one driving operation and the total capacity throughput required for one year of driving are calculated, including:

[0015] Calculate the required throughput of the temperature impact factor, DOD impact factor, and discharge rate impact factor under a real vehicle operating condition respectively;

[0016] Substitute the required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor into the product with their respective battery aging weights and add them together to obtain the required single capacity throughput for one trip.

[0017] Multiply the single capacity throughput by the number of times the actual vehicle runs in a year to obtain the total capacity throughput for one year.

[0018] Furthermore, the required throughput of the temperature impact factor, DOD impact factor, and discharge rate impact factor under an actual vehicle operating condition is calculated respectively. The calculation formula of the required capacity throughput of the temperature impact factor under an actual vehicle operating condition is as follows:

[0019]

[0020] Among them, Q T Provide customers with a capacity throughput of temperature influence factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of one working condition, PT Ti is the proportion of the i-th temperature in the working condition, KT Ti is the life impact factor coefficient of the temperature

[0021] Furthermore, the required throughput of the temperature influence factor, DOD influence factor and discharge rate influence factor under a real vehicle operating condition is calculated respectively. The calculation formula of the required capacity throughput of the DOD influence factor under a real vehicle operating condition is as follows:

[0022]

[0023] Among them, QD Provide customers with a capacity throughput of DOD impact factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of one working condition, PD Ti is the proportion of the i-th DOD in the working condition, KD Ti is the life impact factor coefficient of the DOD

[0024] Furthermore, the required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor under an actual vehicle operating condition is calculated respectively. The required capacity throughput calculation formula of the discharge rate influence factor under an actual vehicle operating condition is as follows:

[0025]

[0026] Among them, Q C Provide customers with a capacity throughput of the charge and discharge rate influence factor under a real vehicle working condition. Q0 is the cumulative capacity throughput of one working condition, PC Ti is the proportion of the i-th charge and discharge rate in the working condition, KC Ti is the life impact factor coefficient of the th rate

[0027] Furthermore, the required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor is substituted into the product with the respective battery aging weights and accumulated to obtain the required single capacity throughput for one trip. The specific calculation formula is as follows:

[0028]

[0029] in, is the capacity throughput of the three influencing factors under one working condition, is the weight of the temperature impact factor, is the weight of the multiplier impact factor, is the weight of the DOD impact factor, Q T Provide customers with a capacity throughput of temperature influence factors under actual vehicle conditions, Q D Provide customers with a capacity throughput of DOD impact factors under actual vehicle conditions, Q C Provide customers with a capacity throughput of the charge and discharge rate influencing factors under actual vehicle conditions.

[0030] Furthermore, based on the customer's actual vehicle operating condition data and the battery life data provided by the battery manufacturer, the theoretical warranty period is calculated. The specific calculation formula is as follows:

[0031] Nj=

[0032] Among them, Nj is the recommended warranty period (years), is the Hitachi attenuation coefficient of the battery.

[0033] The present invention also provides an electronic device, comprising a processor and a memory connected to the processor for storing instructions executable by the processor, wherein the processor is used to execute the above-mentioned method for estimating the warranty time of a vehicle battery.

[0034] The present invention also provides a computer-readable storage medium storing a computer program, which implements the above-mentioned method for estimating the warranty time of a vehicle battery when executed by a processor.

[0035] It can be seen from the above technical solution that the beneficial technical effects of the present invention are as follows:

[0036] The present invention provides a method, device and medium for estimating the warranty period of an automobile battery. The method obtains actual vehicle operating condition data of a customer, and calculates the capacity throughput of the customer's current vehicle under actual use conditions when the battery health decays to 80% by taking into account three influencing factors: temperature influencing factor, DOD influencing factor and discharge rate influencing factor. The capacity throughput under actual use conditions is then evaluated, and the battery life and warranty period are then evaluated. The method can quickly calculate a personalized recommended battery warranty period to address the technical problem in the prior art that most current research on battery health status prediction is based on test data under laboratory conditions, which is different from the actual operating conditions of the battery and cannot quickly predict the battery health status under actual vehicle conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0038] Figure 1 A schematic diagram of the overall process of a method for estimating the warranty period of an automobile battery according to an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of specific steps for battery warranty estimation provided by a method for estimating the warranty period of an automobile battery according to an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of further specific steps of battery warranty estimation provided by a method for estimating the warranty time of an automobile battery according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following embodiments of the technical solution of the present invention will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and are therefore only examples and are not intended to limit the scope of protection of the present invention.

[0042] It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0043] To solve the technical problem that most of the current research on battery health status prediction is based on test data under laboratory conditions, which is different from the actual operation of the battery and cannot quickly predict the battery health status under actual vehicle conditions, such as Figure 1 As shown, this embodiment provides a method for estimating the warranty period of a vehicle battery, including:

[0044] S1. Obtain the customer's actual vehicle operating condition data. In this embodiment, the customer's actual vehicle operating condition data is obtained through the Tbox device. It should be noted that the application scenario of this embodiment is that after the customer determines the configuration of the new car, the customer provides the actual vehicle operating condition data of the previous vehicle to the car sales company to help the car sales company give a recommended car warranty period.

[0045] S2. Input the customer's actual vehicle operating condition data into the automobile battery warranty estimation calculation model to obtain the recommended automobile warranty time, as the preferred solution of this embodiment, such as Figure 2 As shown, the specific steps include:

[0046] S21. Obtain battery life data provided by the battery manufacturer and calculate the battery life attenuation coefficient of the benchmark under different working conditions. The battery life attenuation coefficient is specifically determined by the influencing factor in step S22.

[0047] S22. Determine the proportion of each influencing factor under the actual vehicle operating condition based on the customer's actual vehicle operating condition data, where the influencing factors include temperature influencing factor, DOD influencing factor, and discharge rate influencing factor;

[0048] S23. Calculate the single capacity throughput required for one trip and the total capacity throughput for one year based on the customer's actual vehicle operating condition data, battery life attenuation coefficient, and influencing factors. Figure 3 As shown, the specific steps include:

[0049] Calculate the required throughput of the temperature impact factor, DOD impact factor, and discharge rate impact factor under a real vehicle operating condition respectively;

[0050] Specifically, in this embodiment, the temperature influence factor coefficient table parameters are as follows:

[0051] temperature Battery normal temperature Temperature 1 Temperature 2 Temperature 3 Temperature 4 Temperature 5 Temperature i Number of cycles at 80% remaining capacity at different temperatures <![CDATA[N T0 ]]> <![CDATA[N T1 ]]> <![CDATA[N T2 ]]> <![CDATA[N T3 ]]> <![CDATA[N T4 ]]> <![CDATA[N T5 ]]> <![CDATA[N Ti ]]>

[0052] In this embodiment, the calculation formula of the temperature influence factor is as follows:

[0053] =

[0054] in, is the temperature influence factor coefficient, N T0 is the number of battery cycles at room temperature, and NTi is the number of battery cycles at a certain temperature. As an example of the algorithm here: the total number of cycles provided by the battery manufacturer for aging to 80% at room temperature (25°C) is NT25, and the total number of cycles for aging to 80% at a certain temperature (45°C) is NT45. Then the temperature influence factor coefficient at 45°C is: = , under this condition, it is an aging acceleration factor greater than 1.

[0055] Furthermore, through the actual vehicle operating condition data, the following table can be obtained:

[0056] temperature Total working time Temperature 1 Temperature 2 Temperature 3 Temperature 4 Temperature 5 Temperature i Working time <![CDATA[T0]]> <![CDATA[T T1 ]]> <![CDATA[T T2 ]]> <![CDATA[T T3 ]]> <![CDATA[T T4 ]]> <![CDATA[T T5 ]]> <![CDATA[T Ti ]]>

[0057] Therefore, the operating time at different temperatures under one working condition can be obtained from this table, so the time ratio formula is as follows:

[0058] =

[0059] This embodiment also takes 45°C as an example. In the operating condition data provided by the customer, the total operating time is T0, and the operating time at 45°C is T 45 , then the operating time at 45℃ is: = .

[0060] Therefore, based on the operating condition data, battery life attenuation coefficient and influencing factor, the required capacity throughput calculation formula of the temperature influencing factor in a real vehicle operating condition can be obtained as follows:

[0061]

[0062] Among them, Q T Provide customers with a capacity throughput of temperature influence factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of one working condition, PT Ti is the proportion of the i-th temperature in the working condition, KT Ti is the life impact factor coefficient of the temperature

[0063] This embodiment continues to use the actual vehicle operating condition data of 45° as an example. The approved throughput consumed in one operating condition cycle at 45° is:

[0064] = * = .

[0065] It is understandable that the capacity throughputs at other temperatures can be calculated and then accumulated to obtain the capacity throughputs at all temperatures under the operating condition.

[0066] Similar to the temperature impact factor, the required throughput of the DOD impact factor and the discharge rate impact factor can be calculated separately.

[0067] In this embodiment, the discharge rate influence factor coefficient calculation table is as follows:

[0068] magnification Nominal magnification Magnification 1 Magnification 2 Magnification 3 Magnification 4 Magnification 5 Magnification i Number of cycles at 80% remaining capacity at different rates <![CDATA[N C0 ]]> <![CDATA[N C1 ]]> <![CDATA[N C2 ]]> <![CDATA[N C3 ]]> <![CDATA[N C4 ]]> <![CDATA[N C5 ]]> <![CDATA[N Ci ]]>

[0069] The calculation of the discharge rate influence factor coefficient is as follows:

[0070] =

[0071] The calculation table and formula for the proportion of each discharge rate under actual vehicle working conditions are as follows:

[0072] magnification Total working time Magnification 1 Magnification 2 Magnification 3 Magnification 4 Magnification 5 Magnification i Working time <![CDATA[C T0 ]]> <![CDATA[C T1 ]]> <![CDATA[C T2 ]]> <![CDATA[C T3 ]]> <![CDATA[C T4 ]]> <![CDATA[C T5 ]]> <![CDATA[C Ti ]]>

[0073] =

[0074] Therefore, the discharge rate impact factor is used to calculate the required capacity throughput under a real vehicle operating condition as follows:

[0075]

[0076] where Q C Provide customers with a capacity throughput of the charge and discharge rate influence factor under a real vehicle working condition. Q0 is the cumulative capacity throughput of one working condition, PC Ti is the proportion of the i-th charge and discharge rate in the working condition, KC Ti is the life impact factor coefficient of the th rate

[0077] In addition, the table and calculation formula of DOD impact factor coefficient are as follows:

[0078] magnification DOD DOD1 DOD2 DOD3 DOD4 DOD5 DODi Cycle number at 80% remaining capacity at different charge and discharge depths <![CDATA[N D0 ]]> <![CDATA[N D1 ]]> <![CDATA[N D2 ]]> <![CDATA[N D3 ]]> <![CDATA[N D4 ]]> <![CDATA[N D5 ]]> <![CDATA[N Di ]]>

[0079] =

[0080] The calculation formula of the required capacity throughput of the DOD impact factor in a real vehicle working condition is as follows:

[0081]

[0082] Among them, Q D Provide customers with a capacity throughput of DOD impact factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of one working condition, PD Ti is the proportion of the i-th DOD in the working condition, KD Ti is the life impact factor coefficient of the DOD

[0083] The required throughput for one trip is calculated by multiplying the temperature, DOD, and discharge rate factors by their respective battery aging weights. In this embodiment, the weights for temperature, rate, and DOD on battery aging are defined based on the battery type: λT, λC, and λD. For typical lithium iron phosphate energy batteries, the recommended values ​​are 0.5, 0.3, and 0.2, respectively. For typical ternary lithium power batteries, the recommended values ​​are 0.4, 0.2, and 0.4, respectively.

[0084] Therefore, the calculation formula for the required capacity throughput under a real vehicle operating condition, which integrates various influencing factors, is as follows:

[0085]

[0086] in, is the capacity throughput of the three influencing factors under one working condition, is the weight of the temperature impact factor, is the weight of the multiplier impact factor, is the weight of the DOD impact factor, Q T Provide customers with a capacity throughput of temperature influence factors under actual vehicle conditions, Q D Provide customers with a capacity throughput of DOD impact factors under actual vehicle conditions, Q C Provide customers with a capacity throughput of the charge and discharge rate influencing factors under actual vehicle conditions.

[0087] Multiply the single capacity throughput by the number of times the vehicle actually runs in a year to get the total capacity throughput for a year. The calculation formula is as follows:

[0088]

[0089] in, The total capacity throughput per year under the working conditions provided by the customer, is the capacity throughput of a working condition, is the number of operating conditions in one year.

[0090] S24. Calculate the theoretical warranty period based on the customer's actual vehicle operating condition data and the battery life data provided by the battery manufacturer. The specific calculation formula is as follows:

[0091] Nj=

[0092] Among them, Nj is the recommended warranty period (years), is the Hitachi attenuation coefficient of the battery, where the Hitachi attenuation coefficient is between 1.015 and 1.025. In this embodiment, 1.02 is removed. Furthermore, if the warranty is based on mileage, the specific formula is as follows:

[0093]

[0094] Among them, is the Hitachi attenuation coefficient of the battery.

[0095] In some embodiments, an electronic device is also provided, including a processor and a memory communicatively connected to the processor and used to store instructions executable by the processor, wherein the processor is used to execute the above-mentioned method for estimating the warranty time of a vehicle battery.

[0096] In some embodiments, a computer-readable storage medium is further provided, storing a computer program, which, when executed by a processor, implements the above-mentioned method for estimating the warranty time of a vehicle battery.

[0097] That is, this embodiment provides a method, device and medium for estimating the warranty time of an automobile battery, wherein the method is to obtain the customer's actual vehicle operating condition data, and calculate the capacity throughput of the customer's current vehicle under actual use conditions when the battery health decays to 80% by taking into account three influencing factors: temperature influencing factor, DOD influencing factor and discharge rate influencing factor, and then evaluate the battery life and warranty period. The capacity throughput under actual use conditions, and then evaluate the battery life and warranty period, can quickly calculate a personalized recommended battery warranty time to solve the technical problem in the existing technology that most of the current prediction research on battery health status is based on test data under laboratory conditions, which is different from the actual operation of the battery and cannot quickly predict the battery health status under actual vehicle conditions.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A method for estimating the warranty period of an automobile battery, characterized in that: include: S1. Obtain the customer's actual vehicle operating condition data; S2. Input the customer's actual vehicle operating condition data into the vehicle battery warranty estimation calculation model to obtain the recommended vehicle warranty period; Inputting the customer's actual vehicle operating condition data into the car battery warranty estimation calculation model, the recommended car warranty period includes: S21. Obtain battery life data provided by the battery manufacturer and calculate the battery life attenuation coefficient under different working conditions; S22. Determine the proportion of each influencing factor under the actual vehicle operating condition based on the customer's actual vehicle operating condition data, where the influencing factors include temperature influencing factor, DOD influencing factor, and discharge rate influencing factor; S23. Calculate the single capacity throughput required for one trip and the total capacity throughput for one year based on the customer's actual vehicle operating condition data, battery life attenuation coefficient, and influencing factors; Based on the customer's actual vehicle operating condition data, battery life attenuation coefficient and influencing factors, the single capacity throughput required for one trip and the total capacity throughput required for one year of driving are calculated, including: Calculate the required throughput of the temperature impact factor, DOD impact factor, and discharge rate impact factor under a real vehicle operating condition respectively; Substitute the required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor into the product with their respective battery aging weights and add them together to obtain the required single capacity throughput for one trip. Multiply the single capacity throughput by the number of times the vehicle actually runs in a year to get the total capacity throughput for a year; S24. Calculate the theoretical warranty period based on the customer's actual vehicle operating condition data and the battery life data provided by the battery manufacturer.

2. The method for estimating the warranty period of a vehicle battery according to claim 1, wherein: The required throughput of the temperature impact factor, DOD impact factor, and discharge rate impact factor under a real vehicle operating condition is calculated separately. The calculation formula for the required capacity throughput of the temperature impact factor under a real vehicle operating condition is as follows: Among them, Q T Provide customers with a capacity throughput of temperature influence factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of one working condition, PT Ti is the proportion of the i-th temperature in the working condition, KT Ti is the life impact factor coefficient of the i-th temperature.

3. The method for estimating the warranty period of a car battery according to claim 2, wherein: The required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor under a real vehicle operating condition is calculated respectively. The calculation formula of the required capacity throughput of the DOD influence factor under a real vehicle operating condition is as follows: Among them, Q D Provide customers with a capacity throughput of DOD impact factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of a working condition, is the proportion of the i-th DOD in this working condition, is the life impact factor coefficient of the i-th DOD.

4. The method for estimating the warranty period of a car battery according to claim 2, wherein: The required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor under a real vehicle operating condition is calculated separately. The required capacity throughput of the discharge rate influence factor under a real vehicle operating condition is calculated as follows: Among them, Q C Provide customers with a capacity throughput of the charge and discharge rate influence factor under a real vehicle working condition. Q0 is the cumulative capacity throughput of one working condition. is the proportion of the i-th charge and discharge rate in this working condition, is the life impact factor coefficient of the i-th rate.

5. The method for estimating the warranty period of a car battery according to claim 2, wherein: Substitute the required throughput of the temperature influence factor, DOD influence factor, and discharge rate influence factor into the product with their respective battery aging weights and add them together to obtain the required single capacity throughput for one trip. The specific calculation formula is as follows: in, is the capacity throughput of the three influencing factors under one working condition, is the weight of the temperature influence factor, is the weight of the multiplier impact factor, is the weight of the DOD impact factor, Q T Provide customers with a capacity throughput of temperature influence factors under actual vehicle conditions, Q D Provide customers with a capacity throughput of DOD impact factors under actual vehicle conditions, Q C Provide customers with a capacity throughput of the charge and discharge rate influencing factors under actual vehicle conditions.

6. The method for estimating the warranty period of a car battery according to claim 2, wherein: The theoretical warranty period is calculated based on the customer's actual vehicle operating condition data and the battery life data provided by the battery manufacturer. The specific calculation formula is as follows: Nj= Among them, Nj is the recommended warranty period (years), is the Hitachi attenuation coefficient of the battery.

7. An electronic device comprising a processor and a memory connected to the processor for storing instructions executable by the processor, characterized in that: The processor is used to execute the automobile battery warranty time estimation method described in any one of claims 1-6 above.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for estimating the warranty time of a vehicle battery according to any one of claims 1 to 6 is implemented.

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