Temperature data analysis method and system for rechargeable energy storage device of new energy automobile

Abstract

The invention discloses a new energy vehicle rechargeable energy storage device temperature data analysis method and system, and the method comprises the steps: taking an environment temperature as reference data, combining the long-time static temperature difference of vehicles in winter and summer, the temperature change generated by the charging and discharging of a battery during driving, and the size of a data range; the storage position of the temperature of the power battery probe in the self-defined data block is reversely deduced and determined, the temperature data of the rechargeable energy storage device can be quickly analyzed, the accident investigation electronic data evidence obtaining efficiency is improved, and the effectiveness of the electronic data evidence is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature analysis of a rechargeable energy storage device, and in particular to a method and system for analyzing temperature data of a rechargeable energy storage device of a new energy vehicle. Background Art

[0002] The rechargeable energy storage device of new energy vehicles is often called the power battery. Its main function is to power the motor and drive the car. In recent years, with the continuous increase in the market share of new energy vehicles, there have been more and more fire accidents involving new energy vehicles. In addition to traffic accidents and collisions with the bottom battery shell, the most battery-related cause is battery thermal runaway. Thermal runaway of power batteries refers to the uncontrollable phenomenon of battery temperature rising during use. Causes include improper charging behavior, bottom battery shell support, scratches, prolonged soaking in water, and aging of internal circuits, which may trigger the thermal runaway of power batteries. In order to prevent or analyze fire accidents in new energy vehicles, battery temperature probes will be installed on the power batteries and arranged in sequence to cover the entire battery box. The battery temperature probes have temperature sensors that can monitor the temperature of each position of the battery in real time and record these data.

[0003] The temperature data of the rechargeable energy storage device of new energy vehicles is recorded in different ways on different vehicle brands and different electronic modules, but it can be generally divided into two forms. One is recorded in plain text format, with clear Chinese or English labels to indicate the meaning of the data recorded in the field, such as "battery temperature: **℃, **℃, **℃, **℃, **℃..." The other is a custom binary format without plain text labels. The data is usually recorded in blocks at a fixed time period, and the fields at different positions in the data block represent different data values. The plain text data format is easy to analyze and clear at a glance, while the custom format is difficult to analyze, and usually requires the manufacturer's internal communication protocol or storage protocol to parse the data meaning. Summary of the invention

[0004] In view of the existing problems, the present invention proposes a temperature data analysis method and system for a rechargeable energy storage device of a new energy vehicle, which can effectively analyze the battery temperature data in the vehicle's custom format data, effectively locate the components and positions of the vehicle fire, and improve the reliability and accuracy of data analysis.

[0005] According to one aspect of the present invention, a method for analyzing temperature data of a rechargeable energy storage device of a new energy vehicle is proposed, comprising the following steps:

[0006] S1. Obtain winter data recorded in winter and summer data recorded in summer of the new energy vehicle, and screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle;

[0007] S2, the new energy vehicle is kept started but parked in a stationary state in a first low temperature environment and a first high temperature environment respectively, and after a period of time t, the temperature data T of the first low temperature environment is recorded L1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ;

[0008] S3. According to T L =ST L *k+Offset and T H =ST H *k+Offset calculates the first vehicle temperature resolution coefficient k 1 and the first vehicle temperature offset Offset 1 , where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates high ambient temperature data;

[0009] S4, based on the vehicle temperature data storage location of the new energy vehicle, obtain the vehicle temperature data ST, according to T = ST * k 1 +Offset 1 Calculate the actual battery temperature data T.

[0010] Preferably, the time t is greater than 4 hours. By setting the vehicle to start and stop for a long enough time, at this time, the battery discharge is small and the temperature does not rise. The actual temperature T recorded in the electronic module is approximately the ambient temperature. The ambient temperature, which is relatively easy to measure, is kept as a reference data, and the vehicle power battery temperature data stored in a custom format is quickly analyzed in a point-to-surface manner.

[0011] Preferably, the analyzing and obtaining of the vehicle temperature data storage location of the new energy vehicle in S1 specifically includes:

[0012] S101, screening the winter data for data that are continuously repeated or have a difference value less than 2 to obtain winter continuous multi-byte data;

[0013] S102, screening the summer data for data that are continuously repeated or have a difference value less than 2 to obtain summer continuous multi-byte data;

[0014] S103, analyzing whether the numbers of the summer continuous multi-byte data and the winter continuous multi-byte data are equal;

[0015] S104, if they are equal, and the average value of the continuous multi-byte data in summer is greater than the continuous multi-byte data in winter, then the vehicle temperature data storage location of the new energy vehicle is obtained; if they are not equal or the average value of the continuous multi-byte data in summer is less than the continuous multi-byte data in winter, then S101-S103 are repeated. Based on the temperature difference characteristics of different seasons and the characteristics that the number of temperature probes of the same vehicle model remains unchanged, the storage location of the battery temperature data in the custom block is located.

[0016] Further preferably, the method further includes: selecting the second lowest ambient temperature data T L2 and the second highest ambient temperature data T H2 Repeat the steps in S2 to obtain the second lowest vehicle temperature data ST L2 and the second highest vehicle temperature data ST H2 Repeat the steps in S3 to calculate the second vehicle temperature resolution coefficient k 2 and the second vehicle temperature offset Offset 2 , determine the second vehicle temperature resolution coefficient k 2 and the first vehicle temperature resolution coefficient k 1 Whether they are equal, determine the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 Are they equal?

[0017] Further preferably, when any one of the items is not equal, S1-S3 are executed again until the second vehicle temperature resolution coefficient k 2 and the first vehicle temperature resolution coefficient k 1 equal to the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 By setting up multiple groups of experiments for correction, the temperature sensor error and the artificial ambient temperature measurement error are eliminated to ensure the accuracy and rigor of the obtained parameters.

[0018] According to one aspect of the present invention, a temperature data analysis system for a rechargeable energy storage device of a new energy vehicle is proposed, comprising the following modules:

[0019] Temperature data storage and analysis module: configured to obtain winter data recorded in winter and summer data recorded in summer of the new energy vehicle, and screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle;

[0020] Temperature data acquisition module: configured to keep the new energy vehicle started but stationary in a first low temperature environment and a first high temperature environment, and after a period of time t, record the temperature data T of the first low temperature environmentL1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ;

[0021] Parameter calculation module: is configured to be based on T L =ST L *k+Offset and T H =ST H *k+Offset calculates the first vehicle temperature resolution coefficient k 1 and the first vehicle temperature offset Offset 1 , where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates the high ambient temperature number;

[0022] The actual battery temperature data calculation module is configured to obtain the vehicle temperature data ST based on the vehicle temperature data storage location of the new energy vehicle, according to T=ST*k 1 +Offset 1 Calculate the actual battery temperature data T.

[0023] Preferably, the time t is greater than 4 hours.

[0024] Further preferably, analyzing and obtaining the vehicle temperature data storage location of the new energy vehicle specifically includes:

[0025] S101, screening the winter data for data that are continuously repeated or have a difference value less than 2 to obtain winter continuous multi-byte data;

[0026] S102, screening the summer data for data that are continuously repeated or have a difference value less than 2 to obtain summer continuous multi-byte data;

[0027] S103, analyzing whether the numbers of the summer continuous multi-byte data and the winter continuous multi-byte data are equal;

[0028] S104, if they are equal, and the average value of the continuous multi-byte data in summer is greater than the continuous multi-byte data in winter, then the vehicle temperature data storage location of the new energy vehicle is obtained; if they are not equal or the average value of the continuous multi-byte data in summer is less than the continuous multi-byte data in winter, then S101-S103 are repeated.

[0029] Further preferably, it also includes a parameter checking module: configured to select the second low temperature ambient temperature data T L2and the second highest ambient temperature data T H2 Repeat the steps in S2 to obtain the second lowest vehicle temperature data ST L2 and the second highest vehicle temperature data ST H2 Repeat the steps in S3 to calculate the second vehicle temperature resolution coefficient k 2 and the second vehicle temperature offset Offset 2 , determine the second vehicle temperature resolution coefficient k 2 and the first vehicle temperature resolution coefficient k 1 Whether they are equal, determine the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 Are they equal?

[0030] More preferably, when any one of the items is not equal, the temperature data storage and analysis module, the temperature data acquisition module, and the parameter calculation module are re-executed until the second vehicle temperature resolution coefficient k is 2 and the first vehicle temperature resolution coefficient k 1 equal to the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 equal.

[0031] According to one aspect of the present invention, a computer program product is provided, on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the first aspects is implemented.

[0032] The present invention provides a temperature data analysis method and system for a rechargeable energy storage device of a new energy vehicle. The ambient temperature is used as reference data, combined with the temperature difference of the vehicle being stationary for a long time in winter and summer, the temperature change caused by the battery charging and discharging during driving, and the size of the data range, to reversely determine the storage position of the power battery probe temperature in a custom data block, and quickly analyze the temperature data of the rechargeable energy storage device, thereby improving the efficiency of electronic data evidence collection in accident investigations and ensuring the validity of electronic data evidence. By using the temperature difference in different seasons and the change in the ambient temperature of the vehicle, the ambient temperature that is relatively easy to measure and obtain is used as reference data, and the vehicle power battery temperature data stored in a custom format is quickly analyzed in a point-to-surface, four-two-pound way, and their positions in the custom number blocks and the related proportional coefficients and offsets are analyzed, which are perfectly compatible with the custom format data of different brands and models, and improve the efficiency of electronic data evidence collection in the investigation of new energy vehicle fire accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are included to provide a further understanding of the embodiments and are incorporated into and constitute a part of this specification. The accompanying drawings illustrate the embodiments and are used together with the description to explain the principles of the present invention. It will be easy to recognize other embodiments and many expected advantages of the embodiments because they become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale with each other. The same reference numerals refer to corresponding similar parts.

[0034] Figure 1 A schematic flow chart of a method for analyzing temperature data of a rechargeable energy storage device for a new energy vehicle according to the present invention is shown;

[0035] Figure 2 It shows a schematic structural diagram of a temperature data analysis system for a rechargeable energy storage device of a new energy vehicle according to the present invention;

[0036] Figure 3 A schematic diagram of the computer system structure of an electronic device suitable for implementing an embodiment of the present application is shown. DETAILED DESCRIPTION

[0037] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It should also be noted that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

[0038] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0039] Figure 1 A schematic flow chart of a temperature data analysis method for a rechargeable energy storage device of a new energy vehicle according to the present invention is shown as follows: Figure 1 As shown, the method includes:

[0040] S1. Obtain winter data recorded in winter and summer data recorded in summer of the new energy vehicle, and screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle;

[0041] S2, the new energy vehicle is kept started but parked in a stationary state in a first low temperature environment and a first high temperature environment respectively, and after a period of time t, the temperature data T of the first low temperature environment is recorded L1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ;

[0042] S3. According to T L =ST L *k+Offset and T H =ST H *k+Offset calculates the first vehicle temperature resolution coefficient k 1 and the first vehicle temperature offset Offset 1 , where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates high temperature ambient temperature data;

[0043] S4, based on the vehicle temperature data storage location of the new energy vehicle, obtain the vehicle temperature data ST, according to T = ST * k 1 +Offset 1 Calculate the actual battery temperature data T.

[0044] The temperature data of rechargeable energy storage devices is often recorded and used by some electronic modules in new energy vehicles. The amount of temperature data of different models is different, depending on the size of the battery. The temperature data of small cars may be a few to a dozen, and the number of large cars is dozens to hundreds, so the amount of data is very large, and the data cycle recorded by some modules is in milliseconds. The plain text format will take up more storage space. Compared with the plain text format recording method, the binary number custom format saves storage space and records more data in the same size of storage. Therefore, this kind of binary number custom format data is often encountered during the investigation and analysis of automobile fire accidents. The analysis of this data format requires the help of automobile manufacturers. The process is cumbersome and inefficient, and the timeliness of the case may not be guaranteed.

[0045] Among them, the vehicle temperature data storage location of the new energy vehicle analyzed and obtained in S1 specifically includes:

[0046] S101, screening the winter data for data that are continuously repeated or have a difference value less than 2 to obtain winter continuous multi-byte data;

[0047] S102, screening the summer data for data that are continuously repeated or have a difference value less than 2 to obtain summer continuous multi-byte data;

[0048] S103, analyzing whether the numbers of the summer continuous multi-byte data and the winter continuous multi-byte data are equal;

[0049] S104, if they are equal, and the average value of the continuous multi-byte data in summer is greater than the continuous multi-byte data in winter, then the vehicle temperature data storage location of the new energy vehicle is obtained; if they are not equal or the average value of the continuous multi-byte data in summer is less than the continuous multi-byte data in winter, then S101-S103 are repeated.

[0050] First, locate the storage location of the battery temperature data in the custom block. The battery temperature data in winter is much lower than that in summer, and the vehicle is equipped with multiple, dozens or even hundreds of temperature probes. Therefore, the battery temperature data in the custom data block is characterized by continuous storage of multiple identical or similar values. Extract the historical data recorded by the vehicle electronic module, obtain a section of vehicle data in winter and battery temperature data in summer, and filter out fields that meet the following characteristics: field data is repeated continuously or the difference is not large, and the field value in summer is higher than that in winter. Excluding the error of the temperature sensor itself, the normal difference does not exceed 2°C, so the location of the temperature data storage can be confirmed.

[0051] In order to obtain reference data, the present invention places the new energy vehicle in a first low temperature environment and a first high temperature environment respectively while keeping it started but stationary. After a period of time t, the temperature data T of the first low temperature environment is recorded. L1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 .

[0052] Preferably, the time t is greater than 4 hours. The battery case is generally a metal shell, which blends into the ambient temperature. The longer the waiting time, the better. To be on the safe side, it is taken to be at least greater than 4 hours. When starting and stopping, it is easier to obtain the actual value T of the temperature data recorded by the module, because the battery discharge is small when the vehicle starts and stops, and it will not heat up. The long-term storage temperature (that is, the actual temperature T recorded in the electronic module) ≈ the ambient temperature. However, if the vehicle is running, the acceleration and deceleration of the battery charging and discharging will increase the temperature uncertainty. It is not easy to obtain the actual value T recorded by the module at this time, and it is not easy to carry out the next step of the storage format coefficient and the reverse transfer. It is an important innovation of the present invention to analyze the vehicle power battery temperature data stored in a custom format by taking the ambient temperature that is easier to measure and obtain as reference data.

[0053] Obtain the first vehicle temperature resolution coefficient k according to T=ST*k+Offset 1 and the first vehicle temperature offset Offset 1 After the data is collected, in order to reduce errors and ensure the accuracy of parameters, multiple sets of experimental data can be set for verification.

[0054] In a specific embodiment, the method further includes: selecting a second low temperature ambient temperature data T L2 and the second highest ambient temperature data T H2 Repeat the steps in S2 to obtain the second lowest vehicle temperature data ST L2 and the second highest vehicle temperature data ST H2 Repeat the steps in S3 to calculate the second vehicle temperature resolution coefficient k 2 and the second vehicle temperature offset Offset 2 , determine the second vehicle temperature resolution coefficient k 2 and the first vehicle temperature resolution coefficient k 1 Whether they are equal, determine the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 Are they equal?

[0055] When any one of the items is not equal, it is confirmed that the previous analysis of the vehicle temperature data storage location of the new energy vehicle is wrong, so S1-S3 is re-executed and the data analysis is re-selected until the second vehicle temperature resolution coefficient k 2 and the first vehicle temperature resolution coefficient k 1 equal to the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 At this point, the temperature data format analysis of the vehicle power battery is completed.

[0056] The custom data block contains data such as time and battery temperature. First, you need to confirm the time format. There are two common time formats: one is to occupy 6 bytes for storage, and each byte represents the year, month, day, hour, minute, and second of the time. For example, 17 07 0B 16 083B represents the time: 22:08:59 on July 11, 2023. The other is stored in the form of a 4-byte timestamp. The timestamp refers to the total number of seconds from 00:00:00 on January 1, 1970 to the present. It can be converted into a standard format time using the corresponding function or gadget. For example, 64AD 62 7B corresponds to the converted time: 22:08:59 on July 11, 2023.

[0057] The common battery temperature range is generally -40 ~ 210 ℃. A battery temperature data record generally only occupies 1 byte, which we use ST to represent. Then the calculation formula for the actual battery temperature value T is:

[0058] T=ST*k+Offset

[0059] K is the resolution factor, which is usually 1 or 0.1 and needs to be confirmed by back-calculating based on reference data.

[0060] Offset is the offset, the most common value is -40, and it also needs to be reversed and confirmed based on reference data.

[0061] For example, 37℃, coefficient is 1, offset is -40, which is stored in binary form as: 37 / 1-(-40)=77, and its hexadecimal value is 0x4D, and the storage format is: "4D". The coefficient k and offset Offset of the same model module are constant. For another example, the actual temperature is -37.5℃, the agreed coefficient is 0.5, and the offset is -40, then the recorded data is: 0x9B. The manufacturer has agreed on the storage protocol coefficient k and offset so that the hexadecimal single byte can represent the actual negative value or the value with a decimal point.

[0062] Therefore, the present invention obtains a constant first vehicle temperature resolution coefficient k 1 and the first vehicle temperature offset Offset 1 After that, the above formula can be used to parse the custom format data of different brands and models.

[0063] Based on this, this method can be compatible with custom format data of different brands and models, and improve the efficiency of electronic data collection in new energy vehicle fire accident investigations.

[0064] According to one aspect of the present invention, a temperature data analysis system for a rechargeable energy storage device of a new energy vehicle is proposed, comprising the following modules:

[0065] The temperature data storage and analysis module 201 is configured to obtain the winter data recorded in winter and the summer data recorded in summer of the new energy vehicle, and screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle;

[0066] The temperature data acquisition module 202 is configured to keep the new energy vehicle started but stationary in a first low temperature environment and a first high temperature environment, and after a period of time t, record the temperature data T of the first low temperature environment L1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ;

[0067] Parameter calculation module 203: configured to calculate the L =ST L *k+Offset and T H =STH *k+Offset calculates the first vehicle temperature resolution coefficient k 1 and the first vehicle temperature offset Offset 1 , where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates high temperature ambient temperature data;

[0068] The actual battery temperature data calculation module 204 is configured to obtain the vehicle temperature data ST based on the vehicle temperature data storage location of the new energy vehicle, according to T=ST*k 1 +Offset 1 Calculate the actual battery temperature data T.

[0069] Preferably, the time t is greater than 4 hours.

[0070] Further preferably, analyzing and obtaining the vehicle temperature data storage location of the new energy vehicle specifically includes:

[0071] S101, screening the winter data for data that are continuously repeated or have a difference value less than 2 to obtain winter continuous multi-byte data;

[0072] S102, screening the summer data for data that are continuously repeated or have a difference value less than 2 to obtain summer continuous multi-byte data;

[0073] S103, analyzing whether the numbers of the summer continuous multi-byte data and the winter continuous multi-byte data are equal;

[0074] S104, if they are equal, and the average value of the continuous multi-byte data in summer is greater than the continuous multi-byte data in winter, then the vehicle temperature data storage location of the new energy vehicle is obtained; if they are not equal or the average value of the continuous multi-byte data in summer is less than the continuous multi-byte data in winter, then S101-S103 are repeated.

[0075] Further preferably, it also includes a parameter checking module: configured to select the second low temperature ambient temperature data T L2 and the second highest ambient temperature data T H2 Repeat the steps in S2 to obtain the second lowest vehicle temperature data ST L2 and the second highest vehicle temperature data ST H2 Repeat the steps in S3 to calculate the second vehicle temperature resolution coefficient k 2 and the second vehicle temperature offset Offset 2 , determine the second vehicle temperature resolution coefficient k 2 and the first vehicle temperature resolution coefficient k1 Whether they are equal, determine the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 Are they equal?

[0076] More preferably, when any one of the items is not equal, the temperature data storage and analysis module, the temperature data acquisition module, and the parameter calculation module are re-executed until the second vehicle temperature resolution coefficient k is 2 and the first vehicle temperature resolution coefficient k 1 equal to the first vehicle temperature offset Offset 1 and the second vehicle temperature offset Offset 2 equal.

[0077] Reference below Figure 3 , which shows a schematic diagram of the structure of a computer system 300 suitable for implementing an electronic device of an embodiment of the present application. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0078] like Figure 3 As shown, the computer system 300 includes a central processing unit (CPU) 301, which performs various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage part 309 into a random access memory (RAM) 304. In the RAM 304, various programs and data required for the operation of the system 300 are also stored. The CPU 301, the ROM 302, the ROM 303, and the RAM 304 are connected to each other through a bus 305. An input / output (I / O) interface 306 is also connected to the bus 305.

[0079] The following components are connected to the I / O interface 306: an input section 307 including a keyboard, a mouse, etc.; an output section 308 including a liquid crystal display (LCD), etc. and a speaker, etc.; a storage section 309 including a hard disk, etc.; and a communication section 310 including a network interface card such as a LAN card, a modem, etc. The communication section 310 performs communication processing via a network such as the Internet. A drive 311 is also connected to the I / O interface 306 as needed. A removable medium 312, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 311 as needed so that a computer program read therefrom is installed into the storage section 309 as needed.

[0080] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart is implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program is downloaded and installed from the network through the communication part 310, and / or installed from the removable medium 312. When the computer program is executed by the central processing unit (CPU) 301, the above-mentioned functions defined in the method of the present application are executed.

[0081] It should be noted that the computer-readable storage medium of the present application is a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium is, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium is any tangible medium containing or storing a program that is used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium includes a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal takes a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium is any computer-readable storage medium other than a computer-readable storage medium that sends, propagates or transmits a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable storage medium is transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0082] Computer program code for performing the operations of the present application is written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code is executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer is connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or is connected to an external computer (e.g., via the Internet using an Internet service provider).

[0083] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram represents a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the box also occur in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession are actually executed substantially in parallel, and they are sometimes also executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart, are implemented by a dedicated hardware-based system that performs the specified function or operation, or are implemented by a combination of dedicated hardware and computer instructions.

[0084] The modules involved in the embodiments of the present application are implemented by software and hardware.

[0085] As another aspect, the present application also provides a computer-readable storage medium, which is included in the electronic device described in the above embodiment; it also exists independently and is not assembled into the electronic device. The above computer-readable storage medium carries one or more programs. When the above one or more programs are executed by the electronic device, the electronic device: S1. Obtain the winter data recorded by the new energy vehicle in winter and the summer data recorded in summer, screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle; S2. The new energy vehicle is kept started but parked in a first low temperature environment and a first high temperature environment respectively, and after a period of time t, the first low temperature environment temperature data T is recorded. L1 And the first high temperature ambient temperature data T H1, and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ; S3, according to T L =ST L *k+Offset and T H =ST H *k+Offset calculates the first vehicle temperature resolution coefficient k 1 and the first vehicle temperature offset Offset 1 , where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates high temperature ambient temperature data; S4, based on the vehicle temperature data storage location of the new energy vehicle to obtain vehicle temperature data ST, according to T = ST * k 1 +Offset 1 Calculate the actual battery temperature data T.

[0086] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above invention concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A temperature data analysis method for a rechargeable energy storage device of a new energy vehicle, characterized in that: The following steps are involved: S1. Obtain winter data recorded in winter and summer data recorded in summer of the new energy vehicle, and screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle; S2, the new energy vehicle is kept started but parked in a stationary state in a first low temperature environment and a first high temperature environment respectively, and after a period of time t, the temperature data T of the first low temperature environment is recorded L1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ; S3. According to T L =ST L *k+Offset and T H =ST H *k+Offset calculates the first vehicle temperature resolution coefficient k1 and the first vehicle temperature offset Offset1, where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates high ambient temperature data; S4. Acquire vehicle temperature data ST based on the vehicle temperature data storage location of the new energy vehicle, and calculate actual battery temperature data T according to T=ST*k1+Offset1.

2. A temperature data analysis method for a rechargeable energy storage device for a new energy vehicle according to claim 1, characterized in that: The time t is greater than 4 hours.

3. A temperature data analysis method for a rechargeable energy storage device for a new energy vehicle according to claim 1, characterized in that: The vehicle temperature data storage locations of new energy vehicles analyzed and obtained in S1 specifically include: S101, screening the winter data for data that are continuously repeated or have a difference value less than 2 to obtain winter continuous multi-byte data; S102, screening the summer data for data that are continuously repeated or have a difference value less than 2 to obtain summer continuous multi-byte data; S103, analyzing whether the numbers of the summer continuous multi-byte data and the winter continuous multi-byte data are equal; S104, if they are equal, and the average value of the continuous multi-byte data in summer is greater than the continuous multi-byte data in winter, then the vehicle temperature data storage location of the new energy vehicle is obtained; if they are not equal or the average value of the continuous multi-byte data in summer is less than the continuous multi-byte data in winter, then S101-S103 are repeated.

4. A temperature data analysis method for a rechargeable energy storage device for a new energy vehicle according to claim 3, characterized in that: Also includes: Select the second lowest ambient temperature data T L2 and the second highest ambient temperature data T H2 Repeat the steps in S2 to obtain the second lowest vehicle temperature data ST L2 and the second highest vehicle temperature data ST H2 , repeat the steps in S3 to calculate the second vehicle temperature resolution coefficient k2 and the second vehicle temperature offset Offset2, determine whether the second vehicle temperature resolution coefficient k2 is equal to the first vehicle temperature resolution coefficient k1, and determine whether the first vehicle temperature offset Offset1 is equal to the second vehicle temperature offset Offset2.

5. A temperature data analysis method for a rechargeable energy storage device for a new energy vehicle according to claim 4, characterized in that: When any one of the items is not equal, S1 - S3 are executed again until the second vehicle temperature resolution coefficient k2 is equal to the first vehicle temperature resolution coefficient k1 and the first vehicle temperature offset Offset1 is equal to the second vehicle temperature offset Offset2.

6. A temperature data analysis system for a rechargeable energy storage device of a new energy vehicle, characterized in that: Includes the following modules: Temperature data storage and analysis module: configured to obtain winter data recorded in winter and summer data recorded in summer of the new energy vehicle, and screen and analyze to obtain the vehicle temperature data storage location of the new energy vehicle; Temperature data acquisition module: configured to keep the new energy vehicle started but stationary in a first low temperature environment and a first high temperature environment, and after a period of time t, record the temperature data T of the first low temperature environment L1 And the first high temperature ambient temperature data T H1 , and correspondingly obtain the first low temperature vehicle temperature data ST based on the vehicle temperature data storage location L1 and the first highest vehicle temperature data ST H1 ; Parameter calculation module: is configured to be based on T L =ST L *k+Offset and T H =ST H *k+Offset calculates the first vehicle temperature resolution coefficient k1 and the first vehicle temperature offset Offset1, where T L represents low temperature ambient temperature data, k represents vehicle temperature resolution coefficient, Offset represents vehicle temperature offset, T H Indicates high ambient temperature data; The actual battery temperature data calculation module is configured to obtain the vehicle temperature data ST based on the vehicle temperature data storage location of the new energy vehicle, and calculate the actual battery temperature data T according to T=ST*k1+Offset1.

7. A temperature data analysis system for a rechargeable energy storage device for a new energy vehicle according to claim 6, characterized in that: The time t is greater than 4 hours.

8. A temperature data analysis system for a rechargeable energy storage device for a new energy vehicle according to claim 6, characterized in that: The analysis and acquisition of the vehicle temperature data storage location of new energy vehicles specifically includes: S101, screening the winter data for data that are continuously repeated or have a difference value less than 2 to obtain winter continuous multi-byte data; S102, screening the summer data for data that are continuously repeated or have a difference value less than 2 to obtain summer continuous multi-byte data; S103, analyzing whether the numbers of the summer continuous multi-byte data and the winter continuous multi-byte data are equal; S104, if they are equal, and the average value of the continuous multi-byte data in summer is greater than the continuous multi-byte data in winter, then the vehicle temperature data storage location of the new energy vehicle is obtained; if they are not equal or the average value of the continuous multi-byte data in summer is less than the continuous multi-byte data in winter, then S101-S103 are repeated.

9. A temperature data analysis system for a rechargeable energy storage device for a new energy vehicle according to claim 8, characterized in that: Also includes a parameter checking module: configured to select the second lowest temperature environment temperature data T L2 and the second highest ambient temperature data T H2 Repeat the steps in S2 to obtain the second lowest vehicle temperature data ST L2 and the second highest vehicle temperature data ST H2 , repeat the steps in S3 to calculate the second vehicle temperature resolution coefficient k2 and the second vehicle temperature offset Offset2, determine whether the second vehicle temperature resolution coefficient k2 is equal to the first vehicle temperature resolution coefficient k1, and determine whether the first vehicle temperature offset Offset1 is equal to the second vehicle temperature offset Offset2.

10. A temperature data analysis system for a rechargeable energy storage device for a new energy vehicle according to claim 9, characterized in that: When any item is not equal, the temperature data storage and analysis module, the temperature data acquisition module, and the parameter calculation module are re-executed until the second vehicle temperature resolution coefficient k2 is equal to the first vehicle temperature resolution coefficient k1 and the first vehicle temperature offset Offset1 is equal to the second vehicle temperature offset Offset2.

11. A computer program product having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1 to 5.

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