Battery quality guarantee rapid evaluation method and device based on real vehicle working condition and medium

Abstract

The invention provides an automobile battery quality guarantee time estimation method, which comprises the following steps: acquiring battery life data provided by a battery plant, and calculating benchmarking battery life attenuation coefficients under different working conditions; according to the customer real vehicle operation condition data, the proportion of each influence factor under the real vehicle condition is determined, and the influence factors comprise a temperature influence factor and a discharge rate influence factor; according to the battery life attenuation coefficient and the influence factor of the real vehicle operation condition data of the customer, calculating the single-time capacity throughput required by running for one time and the total capacity throughput of running for one year; calculating the theoretical quality guarantee time based on the real vehicle operation condition data of the customer and the battery life data provided by the battery plant; and based on the calendar attenuation coefficient, calculating to obtain the suggested automobile warranty time. The technical problem that the current prediction research on the battery health state is performed based on test data under a laboratory condition, and the battery health state under a real vehicle working condition cannot be rapidly predicted is solved.

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 evaluation of battery quality assurance based on actual vehicle operating conditions. Background Art

[0002] The health status of the power battery is a standard for measuring 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, the power battery itself is a highly time-varying nonlinear system with limited measurable parameters, coupled characteristics, and fading upon use. It is difficult to accurately predict its health status. At present, most of the research on battery health status prediction is based on test data under laboratory conditions. Due to the difference between the actual operation of the battery and the actual vehicle operation, it is not possible to quickly predict the battery health status under actual vehicle conditions.

[0004] In view of this, the inventor proposes a method, device and medium for rapid battery warranty assessment based on actual vehicle operating conditions. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention proposes a battery warranty rapid evaluation method, equipment and medium based on actual vehicle operating conditions, so as to solve the technical problem that most of the current prediction research on battery health status in the prior art 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 operating conditions.

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

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

[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 automobile battery warranty estimation calculation model, and the recommended automobile warranty period includes:

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

[0011] S22. Determine the proportion of each influencing factor under the actual vehicle operating condition according to the customer's actual vehicle operating condition data, wherein 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] Further, S23, based on the customer's actual vehicle operating condition data, battery life attenuation coefficient and influencing factor, the single capacity throughput required for one driving and the total capacity throughput required for one year of driving are calculated, including:

[0015] Calculate the required throughput of the temperature influence factor, DOD influence factor and discharge rate influence factor under a real vehicle working 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 up to obtain the single capacity throughput required for one trip;

[0017] Multiply the single capacity throughput by the number of times the actual vehicle runs in one year to get 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 actual vehicle conditions. Q0 is the cumulative capacity throughput of one condition, PT Ti is the proportion of the ith temperature in this working condition, KT Ti for

[0021] The life influence factor coefficient of the temperature

[0022] Furthermore, the required throughput of the temperature influence factor, the DOD influence factor and the discharge rate influence factor under a real vehicle working condition is calculated respectively. The calculation formula of the required capacity throughput of the DOD influence factor under a real vehicle working condition is as follows:

[0023]

[0024] Among them, Q D Provide customers with a capacity throughput of DOD influencing factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of a working condition, PD Ti is the proportion of the i-th DOD in this working condition, KD Ti is the life impact factor coefficient of the th DOD

[0025] Furthermore, the required throughput of the temperature influence factor, the DOD influence factor and the 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:

[0026]

[0027] Among them, Q C Provide customers with a capacity throughput of the factors affecting the charge and discharge rate under actual vehicle conditions. Q0 is the cumulative capacity throughput of one condition, PC Ti is the proportion of the i-th charge and discharge rate in this working condition, KC Ti is the life impact factor coefficient of the th multiplier

[0028] Furthermore, the required throughput of the temperature influence factor, DOD influence factor and discharge rate influence factor are respectively substituted into the product with their respective battery aging weights and accumulated to obtain the single capacity throughput required for one trip. The specific calculation formula is as follows:

[0029] Q One =λ T *Q T +λ C *Q C +λ D *Q D

[0030] Among them, Q One is the capacity throughput of the three influencing factors under a single condition, λ T is the weight of the temperature influence factor, λ C is the weight of the multiplier impact factor, λ D 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 factors affecting the charge and discharge rates under actual vehicle conditions.

[0031] Furthermore, based on the customer's actual vehicle operating condition data and the battery life data provided by the battery manufacturer, the theoretical warranty time is calculated. The specific calculation formula is as follows:

[0032]

[0033] Where Nj is the recommended warranty period (years), and ε is the Hitachi attenuation coefficient of the battery.

[0034] 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 car battery.

[0035] The present invention also provides a computer-readable storage medium storing a computer program, wherein the computer program implements the above-mentioned method for estimating the warranty time of a vehicle battery when executed by a processor.

[0036] It can be seen from the above technical solution that the beneficial technical effects of the present invention are as follows:

[0037] The present invention provides a method, device and medium for estimating the warranty time of an automobile battery, wherein the method is to obtain the actual vehicle operating condition data of the customer, and respectively calculate the capacity throughput of the customer's current vehicle under the actual use condition when the battery health decays to 80% by considering the three influencing factors of temperature influencing factor, DOD influencing factor and discharge rate influencing factor for the actual vehicle operating condition data of the customer, and then evaluate the battery life and warranty period. The capacity throughput under the actual use condition, and then evaluate the battery life and warranty period, can quickly calculate the personalized recommended battery warranty time, so as to solve the technical problem that most of the current prediction research on the battery health status in the prior art is based on test data under laboratory conditions, and due to certain differences from the actual operation of the battery, it is impossible to quickly predict the battery health status under actual vehicle conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the prior art description. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0039] Figure 1 A schematic diagram of the overall process of a method for estimating the warranty time of an automobile battery according to an embodiment of the present invention;

[0040] Figure 2 A schematic diagram of 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;

[0041] Figure 3 A schematic diagram of further specific steps of battery warranty estimation provided by a method for estimating the warranty time of a vehicle battery according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0043] It should be noted that, unless otherwise specified, the technical terms 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.

[0044] In order 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 time of a vehicle battery, including:

[0045] 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 time.

[0046] 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:

[0047] 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.

[0048] S22. Determine the proportion of each influencing factor under the actual vehicle operating condition according to the customer's actual vehicle operating condition data, wherein the influencing factors include temperature influencing factor, DOD influencing factor and discharge rate influencing factor;

[0049] 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, where Figure 3As shown, the specific steps include:

[0050] Calculate the required throughput of the temperature influence factor, DOD influence factor and discharge rate influence factor under a real vehicle working condition respectively;

[0051] Specifically, in this embodiment, the temperature influence factor coefficient table parameters are as follows:

[0052]

[0053] In this embodiment, the calculation formula of the temperature influence factor is as follows:

[0054]

[0055] in, is the temperature influence factor coefficient, N T0 is the number of battery cycles at room temperature, 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, the aging acceleration factor is greater than 1.

[0056] Furthermore, through the actual vehicle operating condition data, the following table can be obtained:

[0057]

[0058] 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:

[0059]

[0060] 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:

[0061] 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 condition is as follows:

[0062]

[0063] Among them, Q T Provide customers with a capacity throughput of temperature influence factors under actual vehicle conditions. Q0 is the cumulative capacity throughput of one condition, PTTi is the proportion of the ith temperature in this working condition, KT Ti is the life influence factor coefficient of the temperature

[0064] This embodiment continues to take the actual vehicle operating condition data of 45° as an example. The approved throughput consumed in one operating condition cycle at 45°C is:

[0065]

[0066] It is understandable that the capacity throughputs at other temperatures can be deduced and then accumulated to obtain the capacity throughputs at all temperatures under the operating condition.

[0067] Similar to the temperature impact factor, the demand throughput of the DOD impact factor and the discharge rate impact factor can be calculated separately.

[0068] In this embodiment, the calculation table of the discharge rate influence factor coefficient is as follows:

[0069]

[0070] The calculation of the discharge rate influence factor coefficient is as follows:

[0071]

[0072] The calculation table and formula for the proportion of each discharge rate under actual vehicle conditions are as follows:

[0073] magnification Total working time Magnification 1 Magnification 2 Magnification 3 Magnification 4 Magnification 5 Magnification Working time <![CDATA[C T0 ]]> <![CDATA[C T1 ]]> <![CDATA[C T2 ]]> <![CDATA[C T3 ]]> <![CDATA[C T4 ]]> <![CDATA[C T5 ]]> <![CDATA[C Ti ]]>

[0074]

[0075] Therefore, the calculation formula of the required capacity throughput of the discharge rate influencing factor under a real vehicle working condition is as follows:

[0076]

[0077] Where Q C Provide customers with a capacity throughput of the factors affecting the charge and discharge rate under actual vehicle conditions. Q0 is the cumulative capacity throughput of one condition, PC Ti is the proportion of the i-th charge and discharge rate in this working condition, KC Ti is the life impact factor coefficient of the th multiplier

[0078] In addition, the table and calculation formula of DOD impact factor coefficient are as follows:

[0079]

[0080]

[0081] The specific calculation formula of the demand capacity throughput of the DOD impact factor in a real vehicle working condition is as follows:

[0082]

[0083] Among them, Q D Provide customers with a capacity throughput of DOD influencing factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of a working condition, PD Ti is the proportion of the i-th DOD in this working condition, KD Ti is the life impact factor coefficient of the th DOD

[0084] 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 up to obtain the single capacity throughput required for one trip. In this embodiment, the weights of temperature, rate and DOD on battery aging are defined according to the battery type: λT, λC and λD. For general lithium iron phosphate energy batteries, the recommended values ​​are: 0.5, 0.3 and 0.2 respectively. For general ternary lithium power batteries, the recommended values ​​are: 0.4, 0.2 and 0.4 respectively.

[0085] Therefore, the calculation formula for the required capacity throughput under a real vehicle operating condition with comprehensive influencing factors is as follows:

[0086] Q One =λ T *Q T +λ C *Q C +λ D *Q D

[0087] Among them, Q One is the capacity throughput of the three influencing factors under a single condition, λ T is the weight of the temperature influence factor, λ C is the weight of the multiplier impact factor, λ D 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 factors affecting the charge and discharge rates under actual vehicle conditions.

[0088] 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:

[0089] Q y =Q One*n y

[0090] Among them, Q y Q is the total capacity throughput per year under the operating conditions provided by the customer. One is the capacity throughput of a working condition, n y is the number of operating conditions in one year.

[0091] S24. Calculate the theoretical warranty time 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:

[0092]

[0093] Wherein, Nj is the recommended warranty time (years), ε is the Hitachi attenuation coefficient of the battery, wherein the Hitachi attenuation coefficient is between 1.015 and 1.025, and 1.02 is removed in this embodiment. Further, if the warranty is based on mileage, the specific formula is as follows:

[0094]

[0095] Among them, ε is the Hitachi attenuation coefficient of the battery.

[0096] In some embodiments, an electronic device is also provided, including a processor and a memory that is communicatively connected to the processor and is used to store instructions executable by the processor, and the processor is used to execute the above-mentioned method for estimating the warranty time of a vehicle battery.

[0097] In some embodiments, a computer-readable storage medium is also provided, storing a computer program, and when the computer program is executed by a processor, the above-mentioned method for estimating the warranty time of a vehicle battery is implemented.

[0098] 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 the three influencing factors of 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 that most of the current prediction research on battery health status in the prior art is based on test data under laboratory conditions, and due to certain differences from the actual operation of the battery, it is impossible to quickly predict the battery health status under actual vehicle conditions.

[0099] 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 replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate 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 specification of the present invention.

Claims

1. A method for estimating the warranty period of a car battery, characterized in that: include: S1. Obtain the actual vehicle operating condition data of the customer; 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.

2. The method for estimating the warranty period of a car battery according to claim 1, characterized in that: Input the customer's actual vehicle operating condition data into the automobile battery warranty estimation calculation model, and the recommended automobile warranty period includes: S21. Obtain battery life data provided by the battery manufacturer and calculate the battery life attenuation coefficient of the benchmark under different working conditions; S22. Determine the proportion of each influencing factor under the actual vehicle operating condition according to the customer's actual vehicle operating condition data, wherein 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; 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.

3. The method for estimating the warranty period of a car battery according to claim 2, characterized in that: 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 trip and the total capacity throughput required for one year of driving are calculated, including: Calculate the required throughput of the temperature influence factor, DOD influence factor and discharge rate influence factor under a real vehicle working 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 up to obtain the single capacity throughput required for one trip; Multiply the single capacity throughput by the number of times the actual vehicle runs in one year to get the total capacity throughput for one year.

4. The method for estimating the warranty period of a car battery according to claim 3, characterized in that: In calculating the required throughput of the temperature impact factor, DOD impact factor and discharge rate impact factor under a real vehicle working condition, the calculation formula of the required capacity throughput of the temperature impact factor under a real vehicle working condition is as follows: Among them, Q T Provide customers with a capacity throughput of temperature influence factors under actual vehicle conditions. Q0 is the cumulative capacity throughput of one condition, PT Ti is the proportion of the ith temperature in this working condition, KT Ti is the life influence factor coefficient of the th temperature.

5. The method for estimating the warranty period of a car battery according to claim 3, characterized in that: In calculating the required throughput of the temperature influence factor, the DOD influence factor and the discharge rate influence factor under an actual vehicle operating condition, the calculation formula of the required capacity throughput of the DOD influence factor under an actual vehicle operating condition is as follows: Among them, Q D Provide customers with a capacity throughput of DOD influencing factors under a real vehicle working condition, Q0 is the cumulative capacity throughput of a working condition, PD Ti is the proportion of the i-th DOD in this working condition, KD Ti is the life impact factor coefficient of the th DOD.

6. The method for estimating the warranty period of a car battery according to claim 3, characterized in that: In calculating the required throughput of the temperature influence factor, DOD influence factor and discharge rate influence factor under a real vehicle working condition, the required capacity throughput calculation formula of the discharge rate influence factor under a real vehicle working condition is as follows: Among them, Q C Provide customers with a capacity throughput of the factors affecting the charge and discharge rate under actual vehicle conditions. Q0 is the cumulative capacity throughput of one condition, PC Ti is the proportion of the i-th charge and discharge rate in this working condition, KC Ti is the life impact factor coefficient of the th multiplier.

7. The method for estimating the warranty period of a car battery according to claim 3, characterized in that: 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 up to obtain the single capacity throughput required for one trip. The specific calculation formula is as follows: Q One =λ T *Q T +λ C *Q C +λ D *Q D Among them, Q One is the capacity throughput of the three influencing factors under a single condition, λ T is the weight of the temperature influence factor, λ C is the weight of the multiplier impact factor, λ D 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 factors affecting the charge and discharge rates under actual vehicle conditions.

8. The method for estimating the warranty period of a car battery according to claim 3, characterized in that: 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: Where Nj is the recommended warranty period (years), and ε is the Hitachi attenuation coefficient of the battery.

9. 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 1-8 above.

10. 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 as described in any one of claims 1 to 8 is implemented.

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