Self-checking system with battery early warning function based on new energy automobile

Abstract

The invention discloses a self-checking system with a battery early warning function based on a new energy automobile. The self-checking system comprises a main control module, a data acquisition module, a fault diagnosis module, a communication interface module, a display and alarm module, a thermal management module, a cloud server and a remote monitoring unit, the fault diagnosis module is in electrical input connection with the main control module, the communication interface module is in electrical input connection with the fault diagnosis module, the display and alarm module and the cloud server are respectively in electrical input connection with the communication interface module, the heat management module is bidirectionally and electrically connected with the display and alarm module, and the remote monitoring unit is in electrical input connection with the cloud server. Therefore, by collecting the charging amount of the new energy automobile, collecting the discharging amount of the new energy automobile and collecting the battery power loss of the new energy automobile, the data collected by the battery of the new energy automobile is calculated and analyzed, and then whether the automobile battery can be normally driven or not is judged.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and in particular to a self-checking system with a battery early warning function based on new energy vehicles. Background Art

[0002] The new energy vehicle battery out-of-control warning and monitoring system is dedicated to real-time monitoring of the working status of the battery pack. It uses cutting-edge algorithms and model technologies to comprehensively predict and evaluate the potential out-of-control risks of the battery by accurately collecting core data such as battery temperature, pressure and current. Once an abnormality is detected, the system will immediately trigger a warning signal and promptly notify the driver or vehicle management system so that rapid and effective response measures can be taken, thereby effectively preventing the occurrence of battery out-of-control accidents and ensuring driving safety.

[0003] With the improvement of people's quality of life and the global promotion of environmental protection, energy conservation and green ecological concepts, the application scope of new energy vehicles is rapidly expanding under the active support of the country. At present, new energy vehicles mainly rely on batteries to provide power to drive the vehicle. However, since the battery is usually in a closed state, it is difficult for the driver to visually detect the internal condition of the battery before driving. This makes it difficult to detect possible damage, leakage or short circuit problems in the battery of new energy vehicles during parking, which increases the safety risks during driving.

[0004] More importantly, when the battery of a new energy vehicle fails, if there is a lack of timely and effective early warning mechanism, the driver may encounter sudden failures during driving, thus facing serious driving risks. Summary of the invention

[0005] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] To this end, the purpose of the present invention is to propose a self-check system with a battery warning function based on new energy vehicles. By collecting the charging amount, discharging amount and battery loss amount of the new energy vehicle, the data collected from the new energy vehicle battery are calculated and analyzed respectively, so as to determine whether the vehicle battery is normal and whether it can be driven normally.

[0007] To achieve the above-mentioned purpose, the present invention proposes a self-checking system with battery early warning function based on new energy vehicles, including a main control module, a data acquisition module, a fault diagnosis module, a communication interface module, a display and alarm module, a thermal management module, a cloud server and a remote monitoring unit, wherein:

[0008] The data acquisition module is electrically outputted and connected to the main control module;

[0009] The fault diagnosis module is electrically connected to the main control module;

[0010] The communication interface module is electrically connected to the fault diagnosis module;

[0011] The display and alarm module and the cloud server are respectively electrically connected to the communication interface module;

[0012] The thermal management module is bidirectionally electrically connected to the display and alarm module;

[0013] The remote monitoring unit is electrically connected to the cloud server;

[0014] The data acquisition module includes a data acquisition unit, a data analysis unit and a data output unit, wherein:

[0015] The data acquisition unit is bidirectionally electrically connected to the main control module, and the data acquisition unit includes a battery charge acquisition unit, a battery discharge acquisition unit and a battery loss acquisition unit, wherein:

[0016] The battery charge amount acquisition unit is used to acquire the charge amount Cd of the new energy vehicle, the battery discharge amount acquisition unit is used to acquire the discharge amount Xh of the new energy vehicle, and the battery loss acquisition unit is used to acquire the battery loss amount Yn of the new energy vehicle;

[0017] The data analysis unit is bidirectionally electrically connected to the main control module. The data analysis unit cleans the collected multiple vehicle charging amounts Cd, vehicle discharging amounts Xh and battery power consumption Yn according to an algorithm to obtain a final value of charging amount Cdz, a final value of discharging amount Xhz and a final value of battery power consumption Ynz; the data analysis unit calculates the new energy vehicle charging efficiency CX, the battery discharge efficiency SM and the battery service life DY according to the final value of charging amount Cdz, the final value of discharging amount Xhz and the final value of battery power consumption Ynz;

[0018] The data output unit is bidirectionally electrically connected to the main control module, and the data analysis unit uploads the calculated new energy vehicle charging efficiency CX, battery discharge time SM and battery service life DY to the cloud server through the data output unit and the main control module;

[0019] The cloud server compares the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY calculated by the vehicle with the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY of a conventional normally running new energy vehicle, and diagnoses the vehicle of this self-inspection through the fault diagnosis module to determine the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY of the vehicle battery;

[0020] The communication interface module is used to implement information feedback through the communication protocol, and to diagnose whether the vehicle is within normal parameters through the detection results. Otherwise, an alarm will be issued through the display and alarm module, and the battery heat will be controlled through the thermal management module. Remote control will be achieved through the remote monitoring unit and an alarm will be given to the vehicle driver in a timely manner via wireless or Bluetooth.

[0021] The self-checking system with a battery early warning function based on new energy vehicles of the present invention collects the charging amount, discharging amount and battery loss amount of the new energy vehicle, respectively calculates and analyzes the data collected from the new energy vehicle battery, and then determines whether the vehicle battery is normal and whether it can be driven normally.

[0022] In addition, the self-checking system with battery warning function based on new energy vehicles proposed in the application may also have the following additional technical features:

[0023] Specifically, the calculation expression of the final value Cdz of the charge capacity is as follows:

[0024]

[0025] In the formula, Cd1+Cd1+Cd1+…+Cdn represents the charging Cd of all vehicles collected this time, and Sj represents the total time spent on charging the vehicles this time.

[0026] Specifically, the calculation expression of the final value Xhz of the discharge amount is as follows:

[0027]

[0028] In the formula, Xh1+Xh2+Xh2…+Xhn represents the total amount of vehicle discharge Xh collected this time, and Sy represents the total time spent on the vehicle discharge this time.

[0029] Specifically, the final value Yn of the battery power consumption is calculated as follows:

[0030]

[0031] In the formula, Yn1+Yn2+Yn3…Ynn represents the total value of the vehicle battery power loss collected this time, and sl represents the total time for calculating the battery power loss of the vehicle this time.

[0032] Specifically, the calculation expression of the automobile charging efficiency CX is as follows:

[0033]

[0034] In the formula, Cdz1+Cdz2+Cdz3 . . . +Cdzn represents the sum of the final values ​​of the battery charge capacity collected in multiple measurements, and q represents the number of times the final value of the charge capacity is collected.

[0035] Specifically, the battery discharge efficiency SM calculation expression is as follows:

[0036]

[0037] In the formula, xhz1+xhz2+xhz3…+xhzn represents the sum of multiple collected final values ​​of battery discharge capacity, and q represents the number of times the final value of battery discharge capacity is collected.

[0038] Specifically, the calculation expression of the final value Ynz of the battery power consumption is as follows:

[0039]

[0040] The Ynz1+Ynz2+Ynz3 . . . +Ynzn represents the sum of multiple collected battery power consumption measurements, and q represents the number of times the battery power consumption test is collected.

[0041] Specifically, the data analysis unit groups the calculated new energy vehicle charging efficiency CX, battery discharge efficiency SM and battery life DY into digital groups: (CX1, SM1, DY1), ..., (CXn, SMn, DYn), wherein CX1, ..., CXn represent the label numbers of the vehicle charging efficiency CX, SM1, ..., SMn represent the label numbers of the battery discharge efficiency SM, and DY1, ..., DYn represent the label numbers of the battery life DY;

[0042] The data output unit sends the grouping to the cloud server.

[0043] Specifically, a basic model is built based on multiple groups of label numbers of the vehicle charging efficiency CX, multiple groups of label numbers of the battery discharge efficiency SM, and multiple groups of label numbers of the battery service life DY obtained from tests on different vehicles, and finally the battery warning value Zq in normal driving is obtained by calculation.

[0044] Specifically, the battery warning value Zq is calculated as follows:

[0045]

[0046] In the formula, (CX1+CX2…+CXn) represents the sum of multiple measurements of the vehicle charging efficiency CX, (SM1+SM1…+SMn) represents the sum of multiple measurements of the final value of the battery power loss, and (DY1+DY2…+DYn) represents the sum of multiple measurements of the battery life.

[0047] The warning values ​​Zq1, Zq2, ..., Zqn obtained in this measurement are averaged to LZq;

[0048] LZq<Zq, it is judged that the battery charging, power consumption and loss of the new energy vehicle are normal values, and the vehicle is driven normally;

[0049] LZq>Zq, it is judged that the charging, power consumption and loss of the new energy vehicle battery are abnormal values, and the battery needs to be replaced.

[0050] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0052] Figure 1 It is a principle block diagram of the self-checking system of the present invention.

[0053] As shown in the figure: 10, main control module; 20, data acquisition module; 201, data acquisition unit; 2011, battery charge acquisition unit; 2012, battery discharge acquisition unit; 2013, battery loss acquisition unit; 202, data analysis unit; 203, data output unit; 30, fault diagnosis module; 40, communication interface module; 50, display and alarm module; 60, thermal management module; 70, cloud server; 80, remote monitoring unit. DETAILED DESCRIPTION

[0054] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limitations of the present invention. On the contrary, embodiments of the present invention include all changes, modifications and equivalents that fall within the spirit and connotation of the appended claims.

[0055] The following describes a self-checking system with a battery early warning function based on a new energy vehicle according to an embodiment of the present invention in conjunction with the accompanying drawings.

[0056] like Figure 1 As shown, the self-check system with battery warning function based on new energy vehicles according to an embodiment of the present invention includes a main control module 10, a data acquisition module 20, a fault diagnosis module 30, a communication interface module 40, a display and alarm module 50, a thermal management module 60, a cloud server 70 and a remote monitoring unit 80.

[0057] The data acquisition module 20 is electrically connected to the main control module 10 through an output, the fault diagnosis module 30 is electrically connected to the main control module 10 through an input, and the communication interface module 40 is electrically connected to the fault diagnosis module 30 through an input. The display and alarm module 50 and the cloud server 70 are electrically connected to the communication interface module 40 through input, respectively, the thermal management module 60 is electrically connected to the display and alarm module 50 in both directions, and the remote monitoring unit 80 is electrically connected to the cloud server 70 through an input.

[0058] It should be noted that the fault diagnosis module 30 described in this embodiment diagnoses the data collected and analyzed in the data acquisition module 20 through the main control module 10, and judges the diagnosed data and compares the judged data with the standard data to determine whether the new energy vehicle battery can be used normally.

[0059] The data acquisition module 20 includes a data acquisition unit 201 , a data analysis unit 202 and a data output unit 203 .

[0060] The data acquisition unit 201 is bidirectionally electrically connected to the main control module 10 , and includes a battery charge quantity acquisition unit 2011 , a battery discharge quantity acquisition unit 2012 and a battery loss acquisition unit 2013 .

[0061] Among them, the battery charge amount collection unit 2011 is used to collect the charge amount Cd of the new energy vehicle, the battery discharge amount collection unit 2012 is used to collect the discharge amount Xh of the new energy vehicle, and the battery loss collection unit 2013 is used to collect the battery loss amount Yn of the new energy vehicle.

[0062] It should be noted that the data acquisition unit 201 in the data acquisition module 20 collects the battery data during charging through the battery charge acquisition unit 2011, and the battery discharge acquisition unit 2012 collects the battery discharge data during driving and the battery discharge data of the new energy vehicle parked in the parking space, and collects the discharge data in a unified manner. The battery loss acquisition unit 2013 analyzes the battery loss data during charging, driving and parking.

[0063] The data analysis unit 202 is bidirectionally electrically connected to the main control module 10. The data analysis unit cleans the collected multiple vehicle charging amounts Cd, vehicle discharging amounts Xh and battery consumption amounts Yn according to an algorithm to obtain a final charging amount value Cdz, a final discharging amount value Xhz and a final battery consumption amount value Ynz.

[0064] The data analysis unit 202 calculates the new energy vehicle charging efficiency CX, the battery discharge efficiency SM and the battery service life DY according to the final value of the charging amount Cdz, the final value of the discharging amount Xhz and the final value of the battery loss amount Ynz.

[0065] The data output unit 203 is bidirectionally electrically connected to the main control module 10 , and the data analysis unit 202 uploads the calculated new energy vehicle charging efficiency CX, battery discharge time SM and battery life DY to the cloud server 70 through the data output unit 203 and the main control module 10 .

[0066] The cloud server 70 compares the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY calculated for this vehicle with the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY of a conventional normally driven new energy vehicle.

[0067] The fault diagnosis module 30 is used to diagnose the vehicle of this self-test, and determine the vehicle charging efficiency CX, battery discharge efficiency SM and battery life DY of the vehicle battery. The communication interface module 40 is used to implement information feedback through the communication protocol, and the detection result is used to diagnose whether the vehicle is within the normal parameters, otherwise, an alarm is issued through the display and alarm module 50. The battery heat is controlled through the thermal management module 60, and remote control is achieved through the remote monitoring unit 80, and an alarm is given to the vehicle driver in a timely manner through wireless or Bluetooth.

[0068] In one embodiment of the present invention, Figure 1 As shown, the calculation expression of the final value of the charge capacity Cdz is as follows:

[0069]

[0070] In the formula, Cd1+Cd1+Cd1+…+Cdn represents the charging Cd of all vehicles collected this time, and Sj represents the total time spent on charging the vehicle this time.

[0071] In one embodiment of the present invention, Figure 1 As shown, the calculation expression of the final value of discharge capacity Xhz is as follows:

[0072]

[0073] In the formula, Xh1+Xh2+Xh2…+Xhn represents the total amount of vehicle discharge Xh collected this time, and Sy represents the total time spent on vehicle discharge this time.

[0074] In one embodiment of the present invention, Figure 1 As shown, the final value of battery power loss Yn is calculated as follows:

[0075] .

[0076] In the formula, Yn1+Yn2+Yn3…Ynn represents the total value of the vehicle battery power loss collected this time, and sl represents the total time for calculating the battery power loss of the vehicle this time.

[0077] In one embodiment of the present invention, Figure 1 As shown, the calculation expression of automobile charging efficiency CX is as follows:

[0078]

[0079] In the formula, Cdz1+Cdz2+Cdz3…+Cdzn represents the sum of the final values ​​of the battery charge capacity collected from multiple measurements, and q represents the number of times the final value of the charge capacity is collected.

[0080] In one embodiment of the present invention, Figure 1 As shown, the battery discharge efficiency SM calculation expression is as follows:

[0081]

[0082] In the formula, xhz1+xhz2+xhz3…+xhzn represents the sum of multiple collected final values ​​of battery discharge capacity, and q represents the number of times the final value of battery discharge capacity is collected.

[0083] In one embodiment of the present invention, Figure 1 As shown, the final value of battery power loss Ynz is calculated as follows:

[0084]

[0085] Ynz1+Ynz2+Ynz3…+Ynzn represents the sum of multiple collected battery power consumption measurements, and q represents the number of times the battery power consumption test is collected.

[0086] In one embodiment of the present invention, Figure 1 As shown, the data analysis unit 202 groups the calculated new energy vehicle charging efficiency CX, battery discharge efficiency SM and battery life DY into digital groups: CX1, SM1, DY1, ..., CXn, SMn, DYn, wherein CX1, ..., CXn represent the label numbers of the vehicle charging efficiency CX, SM1, ..., SMn represent the label numbers of the battery discharge efficiency SM, and DY1, ..., DYn represent the label numbers of the battery life DY;

[0087] The data output unit 203 sends the grouping to the cloud server 70 .

[0088] In one embodiment of the present invention, Figure 1As shown, a basic model is built based on multiple groups of label numbers of vehicle charging efficiency CX, multiple groups of label numbers of battery discharge efficiency SM, and multiple groups of label numbers of battery service life DY obtained from tests of different vehicles, and finally the battery warning value Zq in normal driving is obtained by calculation.

[0089] In one embodiment of the present invention, Figure 1 As shown, the calculation expression of the battery warning value Zq is as follows:

[0090]

[0091] In the formula, (CX1+CX2…+CXn) represents the sum of multiple measurements of the vehicle charging efficiency CX, (SM1+SM1…+SMn) represents the sum of multiple measurements of the final value of the battery power loss, and (DY1+DY2…+DYn) represents the sum of multiple measurements of the battery life.

[0092] The warning values ​​Zq1, Zq2, ..., Zqn obtained in this measurement are averaged to LZq;

[0093] LZq<Zq, it is judged that the battery charging, power consumption and loss of the new energy vehicle are normal values, and the vehicle is driven normally;

[0094] LZq>Zq, it is judged that the charging, power consumption and loss of the new energy vehicle battery are abnormal values, and the battery needs to be replaced.

[0095] In summary, the self-check system with battery warning function based on new energy vehicles in the embodiment of the present invention collects the charging amount, discharging amount and battery loss amount of the new energy vehicle, and calculates and analyzes the data collected from the new energy vehicle battery, so as to determine whether the vehicle battery is normal and whether it can be driven normally.

[0096] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and deform the above embodiments within the scope of the present invention.

Claims

1. A self-checking system with battery early warning function based on new energy vehicles, characterized in that: It comprises a main control module (10), a data acquisition module (20), a fault diagnosis module (30), a communication interface module (40), a display and alarm module (50), a thermal management module (60), a cloud server (70) and a remote monitoring unit (80), wherein: The data acquisition module (20) is electrically connected to the main control module (10); The fault diagnosis module (30) is electrically input-connected to the main control module (10); The communication interface module (40) is electrically connected to the fault diagnosis module (30); The display and alarm module (50) and the cloud server (70) are respectively electrically input-connected to the communication interface module (40); The thermal management module (60) is bidirectionally electrically connected to the display and alarm module (50); The remote monitoring unit (80) is electrically connected to the cloud server (70); The data acquisition module (20) comprises a data acquisition unit (201), a data analysis unit (202) and a data output unit (203), wherein: The data acquisition unit (201) is bidirectionally electrically connected to the main control module (10), and the data acquisition unit (201) comprises a battery charge quantity acquisition unit (2011), a battery discharge quantity acquisition unit (2012) and a battery loss acquisition unit (2013), wherein: The battery charge amount acquisition unit (2011) is used to acquire the charge amount Cd of the new energy vehicle, the battery discharge amount acquisition unit (2012) is used to acquire the discharge amount Xh of the new energy vehicle, and the battery loss acquisition unit (2013) is used to acquire the battery loss amount Yn of the new energy vehicle; The data analysis unit (202) is bidirectionally electrically connected to the main control module (10); the data analysis unit cleans the collected multiple vehicle charging amounts Cd, vehicle discharging amounts Xh, and battery power consumption Yn according to an algorithm to obtain a final value of charging amount Cdz, a final value of discharging amount Xhz, and a final value of battery power consumption Ynz; the data analysis unit (202) calculates the new energy vehicle charging efficiency CX, the battery discharging efficiency SM, and the battery service life DY according to the final value of charging amount Cdz, the final value of discharging amount Xhz, and the final value of battery power consumption Ynz; The data output unit (203) is bidirectionally electrically connected to the main control module (10), and the data analysis unit (202) uploads the calculated new energy vehicle charging efficiency CX, battery discharge time SM and battery service life DY to the cloud server (70) through the data output unit (203) and the main control module (10); The cloud server (70) compares the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY calculated by the vehicle with the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY of a conventional normally running new energy vehicle, and diagnoses the vehicle undergoing the self-inspection through the fault diagnosis module (30) to determine the vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY of the vehicle battery; The communication interface module (40) is used to implement information feedback through a communication protocol, and determines whether the vehicle is within normal parameters through diagnosis of the detection result. Otherwise, an alarm is issued through the display and alarm module (50), and the battery heat is controlled through the thermal management module (60). Remote control is implemented through the remote monitoring unit (80) and an alarm is promptly issued to the vehicle driver through wireless or Bluetooth.

2. The self-checking system with battery early warning function based on new energy vehicles according to claim 1 is characterized in that: The calculation expression of the final value Cdz of the charge capacity is as follows: In the formula, Cd1+Cd1+Cd1+…+Cdn represents the charging Cd of all vehicles collected this time, and Sj represents the total time spent on charging the vehicles this time.

3. The self-checking system with battery early warning function based on new energy vehicles according to claim 2 is characterized in that: The calculation expression of the final value Xhz of the discharge amount is as follows: In the formula, Xh1+Xh2+Xh2…+Xhn represents the total amount of vehicle discharge Xh collected this time, and Sy represents the total time spent on the vehicle discharge this time.

4. The self-checking system with battery early warning function based on new energy vehicles according to claim 3 is characterized in that: The calculation expression of the final value Yn of the battery power consumption is as follows: In the formula, Yn1+Yn2+Yn3…Ynn represents the total value of the vehicle battery power loss collected this time, and sl represents the total time for calculating the battery power loss of the vehicle this time.

5. The self-checking system with battery early warning function based on new energy vehicles according to claim 4 is characterized in that: The calculation expression of the automobile charging efficiency CX is as follows: In the formula, Cdz1+Cdz2+Cdz3 . . . +Cdzn represents the sum of the final values ​​of the battery charge capacity collected in multiple measurements, and q represents the number of times the final value of the charge capacity is collected.

6. The self-checking system with battery early warning function based on new energy vehicles according to claim 5 is characterized in that: The battery discharge efficiency SM calculation expression is as follows: In the formula, xhz1+xhz2+xhz3…+xhzn represents the sum of multiple collected final values ​​of battery discharge capacity, and q represents the number of times the final value of battery discharge capacity is collected.

7. The self-checking system with battery early warning function based on new energy vehicles according to claim 6 is characterized in that: The calculation expression of the final value Ynz of the battery power consumption is as follows: The Ynz1+Ynz2+Ynz3 . . . +Ynzn represents the sum of multiple collected battery power consumption measurements, and the q represents the number of times the battery power consumption test is collected.

8. The self-checking system with battery early warning function based on new energy vehicles according to claim 7 is characterized in that: The data analysis unit (202) digitally groups the calculated new energy vehicle charging efficiency CX, battery discharge efficiency SM and battery service life DY into: (CX1, SM1, DY1), ..., (CXn, SMn, DYn), wherein CX1, ..., CXn represent the label numbers of the vehicle charging efficiency CX, SM1, ..., SMn represent the label numbers of the battery discharge efficiency SM, and DY1, ..., DYn represent the label numbers of the battery service life DY; The data output unit (203) sends the grouping to the cloud server (70).

9. The self-checking system with battery early warning function based on new energy vehicles according to claim 8 is characterized in that: A basic model is built based on multiple groups of label numbers of the vehicle charging efficiency CX, multiple groups of label numbers of the battery discharge efficiency SM and multiple groups of label numbers of the battery service life DY obtained from tests on different vehicles, and finally the battery warning value Zq in normal driving is obtained by calculation.

10. The self-checking system with battery early warning function based on new energy vehicles according to claim 9 is characterized in that: The battery warning value Zq is calculated as follows: In the formula, (CX1+CX2…+CXn) represents the sum of multiple measurements of the vehicle charging efficiency CX, (SM1+SM1…+SMn) represents the sum of multiple measurements of the final value of the battery power loss, and (DY1+DY2…+DYn) represents the sum of multiple measurements of the battery life. The warning values ​​Zq1, Zq2, ..., Zqn obtained in this measurement are averaged to LZq; LZq<Zq, it is judged that the battery charging, power consumption and loss of the new energy vehicle are normal values, and the vehicle is driven normally; LZq>Zq, it is judged that the charging, power consumption and loss of the new energy vehicle battery are abnormal values, and the battery needs to be replaced.

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