WO2024012083A1

WO2024012083A1 - System, method and apparatus for soc precision verification during vehicle operation process, and upper computer

Info

Publication number: WO2024012083A1
Application number: PCT/CN2023/097727
Authority: WO
Inventors: 谷文博; 刘轶鑫; 荣常如; 王永超; 刘雨霞; 汪帆
Original assignee: 中国第一汽车股份有限公司
Priority date: 2022-07-12
Filing date: 2023-06-01
Publication date: 2024-01-18
Also published as: CN115684965A

Abstract

The present invention belongs to the technical field of electric vehicle battery management and testing. Disclosed are a system, method and apparatus for SOC precision verification during a vehicle operation process, and an upper computer. The method comprises: when verification request data has been received, in response to an SOC precision verification instruction, respectively sending corresponding working condition parameters to a drum, an environmental chamber and a charging device according to a corresponding test working condition; respectively acquiring current data of a traction battery, and real vehicle data; obtaining reference SOC data according to the current data of the traction battery; and performing SOC precision verification during a vehicle operation process according to the reference SOC data and the real vehicle data, and obtaining a corresponding working condition test result. In the present invention, SOC hopping is identified by means of big data, a usage working condition of a user is extracted, the composition of the working condition of the user is analyzed, a test working condition is obtained by means of performing fitting according to an analysis result, the test working condition is simulated by means of a test apparatus, and the SOC precision is then verified, such that the test working condition can be close to the usage working condition of the user, thereby improving the test coverage degree, and improving SOC precision verification.

Description

A system, method, device and host computer for SOC accuracy verification during vehicle operation

Technical field

The invention discloses a SOC accuracy verification system, method, device and host computer during vehicle operation, and belongs to the technical field of electric vehicle battery management and detection.

Background technique

The battery management system is an important part of the power battery. SOC estimation accuracy is the core of the battery management system. The SOC accuracy of the battery management system directly affects the product quality and user experience of the battery management system. Therefore, the development and verification of battery management system SOC accuracy is an important means to ensure the quality of battery management system products. High-quality SOC accuracy verification can reduce the problem of inaccurate SOC accuracy in the market, thereby ensuring user experience and usage experience.

The power battery SOC accuracy verification mainly relies on the bench test of the battery assembly. The SOC accuracy bench test method is to select several temperature points in the low temperature, normal temperature, and high temperature ranges, and use different working conditions (such as NEDC working conditions, WLTC working conditions) to verify the SOC accuracy. The test verification working conditions are relatively simple and cannot cover the actual usage of users. In the actual vehicle test verification, most of them are full discharge, or rely on the reliability and durability test of the whole vehicle, and the test conditions are relatively simple. As a result, SOCs that have been verified have frequent problems in the market. Inaccurate SOC accuracy is also one of the main problems of electric vehicles.

Therefore, the current verification of SOC accuracy in the industry mainly relies on bench and real vehicle tests. The problem with existing experiments is that:

(1) The bench test working conditions are single and cannot completely simulate the actual situation of the vehicle;

(2) Bench test conditions and real vehicle test conditions cannot fully cover user usage conditions.

Contents of the invention

In view of the shortcomings of the existing technology, the present invention proposes a SOC accuracy verification system, method, device and host computer during vehicle operation to solve the problem of insufficient coverage of the existing battery SOC accuracy test.

The technical solution of the present invention is as follows:

According to a first aspect of an embodiment of the present invention, a SOC accuracy verification system during vehicle operation is provided, including a rotating drum arranged in an environmental chamber, a vehicle under test being arranged on the drum, and a battery of the vehicle under test A high-precision current sensor is electrically connected to the high-voltage circuit of the management system. The battery management system of the vehicle under test is electrically connected to the charging equipment and the data acquisition system. The data acquisition system is electrically connected to the high-precision current sensor and communication module respectively. The communication module is electrically connected to the rotating drum, environmental chamber, charging equipment, host computer and working condition display equipment respectively.

Preferably, the environmental chamber is used to adjust the test starting ambient temperature of the vehicle under test and the changes in ambient temperature during the test process, the rotating drum is used to simulate the actual road driving conditions of the vehicle, and the charging The equipment includes AC charging equipment and DC charging equipment. The AC charging equipment and DC charging equipment are used to simulate the vehicle under test for AC charging and DC charging respectively. The high-precision current sensor is used to collect power battery current data and feed back the data. Acquisition system. The data acquisition system is used to acquire power battery current data and actual vehicle data and transmit them to the communication module. The communication module is used in the data acquisition system, rotating drum, environmental chamber, charging equipment and working condition display equipment respectively. Communication between the host computer. The host computer is used to set test parameters related to the drum, environmental chamber and charging equipment according to the corresponding test conditions. It is also used to feed back the power battery current data and actual vehicle data based on the data acquisition system. The SOC accuracy verification is performed during vehicle operation, and is also used to send the test working conditions at the corresponding time to the working condition display device, and the working condition display device is used to receive the test working conditions at the corresponding time and display them.

According to a second aspect of the embodiment of the present invention, a method for verifying SOC accuracy during vehicle operation is provided, including:

When receiving the verification request data, in response to the SOC accuracy verification instruction, the corresponding working condition parameters are sent to the drum, environmental chamber and charging equipment respectively according to the corresponding test working conditions;

Obtain power battery current data and actual vehicle data respectively, and obtain baseline SOC data based on the power battery current data;

Based on the baseline SOC data and actual vehicle data, the SOC accuracy is verified during vehicle operation and the corresponding working condition test results are obtained.

Preferably, when receiving the verification request data and before responding to the SOC accuracy verification instruction, the method further includes:

Obtain a typical working condition test database, and extract test working conditions through the typical working condition test database.

Preferably, the acquisition of a typical working condition test database includes:

Obtain the user's operating conditions, and determine based on the user's operating conditions, the actual vehicle operating condition data and the user's operating conditions stage where the SOC error is too large to appear corrected;

The typical working condition test database is determined based on the actual vehicle working condition data and the user's working condition stage that have been corrected due to excessive errors in the SOC.

Preferably, the step of obtaining the user's operating conditions and determining the actual vehicle operating condition data and the user's operating conditions that correct the SOC error due to excessive error based on the user's operating conditions includes:

Relying on big data, cloud computing data and test data to obtain EV and PHEV vehicle driving data respectively;

Obtain several battery SOC jump points based on the EV and PHEV vehicle driving data;

According to several of the battery SOC jump points, a number of SOC jump points adjacent to the battery SOC jump point or a full charge normal end point are obtained;

Based on a number of battery SOC jump points and a number of SOC jump points adjacent to the battery SOC jump point or full charge normal end point, the actual vehicle operating condition data and user operating conditions of the SOC are corrected due to excessive errors. stage.

Preferably, the battery SOC jump point includes at least: fully charged SOC jump point, BMS power-on correction SOC jump point, and the actual vehicle data at least includes: battery SOC, ambient temperature, battery temperature, current and vehicle speed. The actual vehicle operating condition data that the SOC error is so large that it is corrected at least includes: battery SOC, ambient temperature, battery temperature, current, vehicle speed, battery status, charging status, and charging gun connection status.

Preferably, the typical working condition test database is determined based on the actual vehicle working condition data and the user's working condition stage where the SOC error is too large to cause correction, including:

Determine the ambient temperature of the working conditions, the user SOC usage range, the user driving conditions and the user charging conditions according to the actual vehicle working condition data and the user working condition stage where the SOC error is too large to be corrected;

According to the ambient temperature of the working conditions and the user SOC usage interval, respectively determine the usage environment temperature interval where the error occurs and the user SOC usage upper and lower limits;

According to the user driving conditions and user charging conditions, the proportion of urban working conditions and high-speed working conditions, the proportion of DC charging and AC charging, and the charging SOC range are respectively determined;

Determine several typical test conditions based on the ambient temperature range where the error occurs, the upper and lower limits of user SOC, the proportion of urban working conditions and high-speed working conditions, the proportion of DC charging and AC charging, and the charging SOC range;

The several typical test conditions are integrated to obtain a typical test database.

According to a third aspect of the embodiment of the present invention, a device for verifying SOC accuracy during vehicle operation is provided, including:

A verification preparation module, configured to respond to the SOC accuracy verification instruction when receiving the verification request data and send the corresponding working condition parameters to the drum, environmental chamber and charging equipment according to the corresponding test working conditions;

Calculation benchmark module, used to obtain power battery current data and actual vehicle data respectively, and obtain benchmark SOC data based on the power battery current data;

The verification accuracy module is used to verify the SOC accuracy during vehicle operation based on the benchmark SOC data and actual vehicle data and obtain corresponding working condition test results.

According to a fourth aspect of the embodiment of the present invention, a host computer is provided, including:

one or more processors;

memory for storing instructions executable by the one or more processors;

Wherein, the one or more processors are configured to:

The method described in the first aspect of the embodiment of the present invention is performed.

According to a fifth aspect of the embodiment of the present invention, a non-transitory computer-readable storage medium is provided. When the instructions in the storage medium are executed by a processor of a host computer, the host computer can execute the first step of the embodiment of the present invention. The method described in one aspect.

According to a sixth aspect of the embodiment of the present invention, an application product is provided. When the application product is running on a host computer, the host computer executes the method described in the first aspect of the embodiment of the present invention.

The beneficial effects of the present invention are:

The invention provides a system, method, device and host computer for SOC accuracy verification during vehicle operation. It identifies SOC jumps through big data, extracts user operating conditions, analyzes the composition of user operating conditions, and fits the test operating conditions based on the analysis results. Conditions, the test device simulates the test conditions, and then verifies the SOC accuracy, so that it can be close to the user's usage conditions, improve test coverage, and improve SOC accuracy verification.

It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit the present invention.

Description of drawings

Figure 1 is a schematic structural diagram of a SOC accuracy verification system during vehicle operation according to an exemplary embodiment;

Figure 2 is a flow chart of a SOC accuracy verification method during vehicle operation according to an exemplary embodiment;

Figure 3 is a flow chart of a SOC accuracy verification method during vehicle operation according to an exemplary embodiment;

Figure 4 is a schematic structural block diagram of an SOC accuracy verification device during vehicle operation according to an exemplary embodiment;

Figure 5 is a schematic structural block diagram of a host computer according to an exemplary embodiment.

Detailed ways

The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description. It does not indicate or imply that the device or element referred to must have a specific orientation or a specific orientation. construction and operation, and therefore should not be construed as limitations of the invention.

In the description of the present invention, it should be noted that, unless otherwise clearly stated and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, it can be a fixed connection or a detachable connection. Connection, or integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be an internal connection between two components. For those of ordinary skill in the art, the above terms can be understood in specific situations. specific meaning in the invention.

Embodiment 1

Figure 1 is a schematic structural diagram of a SOC accuracy verification system during vehicle operation according to an exemplary embodiment. The system includes a rotating drum installed in an environmental chamber. A vehicle under test is arranged on the drum. The vehicle under test is The high-voltage circuit of the battery management system is electrically connected to a high-precision current sensor. The battery management system of the vehicle under test is electrically connected to the charging equipment and data acquisition system. The data acquisition system is electrically connected to the high-precision current sensor and communication module. The communication module is electrically connected to the rotating drum, environmental chamber, charging equipment, host computer and working condition display equipment respectively.

Among them, the above-mentioned environmental chamber is used to adjust the test starting ambient temperature of the vehicle under test and the changes in ambient temperature during the test; the rotating drum is used to simulate the actual road driving conditions of the vehicle; the charging equipment includes AC charging Equipment and DC charging equipment, AC charging equipment and DC charging equipment are used to simulate the vehicle under test for AC charging and DC charging respectively; high-precision current sensors are used to collect power battery current data and feed it back to the data acquisition system; the data acquisition system is used The power battery current data and actual vehicle data are obtained and sent to the communication module. The communication module is used to communicate with the data acquisition system, drum, environmental chamber, charging equipment and working condition display equipment respectively with the host computer. The host computer It is used to set test parameters related to the drum, environmental chamber and charging equipment according to the corresponding test conditions. It is also used to verify the SOC accuracy during vehicle operation based on the power battery current data and real vehicle data fed back by the data acquisition system. It is also used to verify the SOC accuracy during vehicle operation. The test working conditions at the corresponding time are sent to the working condition display device, and the working condition display device is used to receive the test working conditions at the corresponding time and display them.

Embodiment 2

Figure 2 is a flow chart of a SOC accuracy verification method during vehicle operation according to an exemplary embodiment. The method is implemented by a host computer. The host computer can be a desktop computer or a notebook computer, and the host computer at least includes a CPU. The method includes the following steps:

Step 101, when receiving the verification request data, in response to the SOC accuracy verification instruction, send the corresponding working condition parameters to the drum, environmental chamber and charging equipment according to the corresponding test working conditions;

Step 102: Obtain power battery current data and actual vehicle data respectively, and obtain baseline SOC data based on the power battery current data;

Step 103: Verify SOC accuracy during vehicle operation based on the baseline SOC data and actual vehicle data and obtain corresponding working condition test results.

Embodiment 3

Figure 3 is a flow chart of a SOC accuracy verification method during vehicle operation according to an exemplary embodiment. The method is implemented by a host computer. The host computer can be a desktop computer or a notebook computer. The host computer at least includes a CPU. The method includes the following steps:

Step 201: Obtain a typical working condition test database, and extract the test working conditions through the typical working condition test database. The specific content is as follows:

First, the user's usage conditions are obtained, and based on the user's usage conditions, it is determined that the SOC is due to excessive error. At the stage where corrected actual vehicle operating condition data and user operating conditions appear, the specific steps are as follows:

Obtain several battery SOC jump points based on EV and PHEV vehicle driving data. The jump points can be the SOC jump after full charging, the SOC jump after the BMS is powered on and corrected. This jump is defined as a discontinuous change in SOC, or power-off sleep. The time is different from the SOC read at power-on. When the SOC change exceeds the design requirements, if the SOC accuracy is required to be less than 4%, it is considered that the SOC jump exceeds 4%, and the jump point is recorded.

According to several battery SOC jump points, several SOC jump points adjacent to the battery SOC jump point or full charge normal end points are obtained;

Based on a number of battery SOC jump points and a number of SOC jump points adjacent to the battery SOC jump point or full charge normal end point, the actual vehicle operating condition data and user operating conditions of the SOC are corrected due to excessive errors. In the stage, the actual vehicle operating condition data where the SOC error is so large that it is corrected at least includes: battery SOC, ambient temperature, battery temperature, current, vehicle speed, battery status, charging status, charging gun connection status and other information.

Then, the typical working condition test database is determined based on the actual vehicle working condition data and the user working condition stage that have been corrected due to excessive SOC errors. The specific steps are as follows:

Determine the ambient temperature of the working conditions, the user SOC usage range, the user driving conditions and the user charging conditions based on the actual vehicle working condition data and the user working condition stage where the SOC error is too large to be corrected;

According to the usage environment temperature range, user SOC upper and lower limits, city where the error occurs, The proportion of working conditions and high-speed working conditions, the proportion of DC charging and AC charging, and the charging SOC range determine several typical test conditions;

Finally, the test conditions are extracted through the typical working condition test database.

Step 202: When the verification request data is received, in response to the SOC accuracy verification instruction, the corresponding working condition parameters are sent to the drum, environmental chamber and charging equipment according to the corresponding test working conditions.

Step 203: Obtain power battery current data and actual vehicle data respectively, and obtain baseline SOC data based on the power battery current data;

Among them, the actual vehicle data at least includes battery SOC, ambient temperature, battery temperature, current, vehicle speed and other information.

Step 204: Verify SOC accuracy during vehicle operation based on the baseline SOC data and actual vehicle data and obtain corresponding working condition test results. The specific content is as follows:

Taking the SOC at the beginning of the vehicle test as the starting benchmark SOC, the current data collected in real time by the high-precision current sensor is used to calculate the SOC at each moment in real time through the ampere-hour integration method, which is used for the benchmark SOC data. At the same time, it receives the SOC data sent by the BMS in real time. The difference between the two data is the SOC error at the current moment. In addition, after the test is completed, the vehicle is left to rest for a long time, and the resting time is determined according to the battery type. Generally, the resting time of ternary batteries is 2 to 3 hours. After the rest is completed, the SOC at the end of the actual vehicle test is calculated by collecting the cell voltage data reported by the BMS. If the difference between the calculated SOC and the SOC at the end of the benchmark SOC data is no more than 1%, the benchmark SOC data is considered valid. If the difference is greater than 1%, the baseline SOC data is considered invalid and the test needs to be re-tested.

Analyze and compare BMS data and baseline SOC data, and analyze the test results. Calculate the SOC accuracy based on the data and benchmark data reported by the BMS. When calculating the accuracy, different working condition intervals should be distinguished. For example, when the BMS is -40°C ~ -10°C, -10°C ~ 40°C, and 40°C ~ 85°C, the SOC The accuracy is different. According to different accuracy requirements, such as -40℃~-10℃, the SOC accuracy is required to be within 5%, then the BMS If the reported SOC and the benchmark SOC data are less than 5% at each moment, the test passes and the accuracy meets the requirements. Otherwise, the test fails and the accuracy does not meet the requirements.

Embodiment 4

Figure 4 is a schematic structural block diagram of an SOC accuracy verification device during vehicle operation according to an exemplary embodiment. The device includes:

The verification preparation module 310 is configured to, when receiving the verification request data, respond to the SOC accuracy verification instruction and send the corresponding working condition parameters to the drum, environmental chamber and charging equipment according to the corresponding test working conditions;

The calculation reference module 320 is used to obtain power battery current data and actual vehicle data respectively, and obtain benchmark SOC data based on the power battery current data;

The verification accuracy module 330 is used to verify the SOC accuracy during vehicle operation based on the benchmark SOC data and actual vehicle data and obtain corresponding working condition test results.

Embodiment 5

Figure 5 is a structural block diagram of a host computer provided by an embodiment of the present application. The host computer may be the host computer in the above embodiment. The host computer 400 may be a portable mobile host computer, such as a smart phone or a tablet computer. The host computer 400 may also be called user equipment, portable host computer, or other names.

Generally, the host computer 400 includes: a processor 401 and a memory 402.

The processor 401 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 401 can adopt at least one hardware form among DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array, field programmable gate array), and PLA (Programmable Logic Array, programmable logic array). accomplish. The processor 401 may also include a main processor and a co-processor. The main processor is a processor used to process data in the wake-up state, also called CPU (Central Processing Unit, central processing unit); the co-processor is Low for processing data in standby state Power processor. In some embodiments, the processor 401 may be integrated with a GPU (Graphics Processing Unit, image processor), and the GPU is responsible for rendering and drawing content that needs to be displayed on the display screen. In some embodiments, the processor 401 may also include an AI (Artificial Intelligence, artificial intelligence) processor, which is used to process computing operations related to machine learning.

Memory 402 may include one or more computer-readable storage media, which may be tangible and non-transitory. Memory 402 may also include high-speed random access memory, and non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 402 is used to store at least one instruction, and the at least one instruction is used to be executed by the processor 401 to implement a vehicle operating process provided in this application. Medium SOC accuracy verification method.

In some embodiments, the host computer 400 optionally also includes: a peripheral device interface 403 and at least one peripheral device. Specifically, the peripheral device includes: at least one of a radio frequency circuit 404, a touch display screen 405, a camera 406, an audio circuit 407, a positioning component 408 and a power supply 409.

The peripheral device interface 403 may be used to connect at least one I/O (Input/Output) related peripheral device to the processor 401 and the memory 402 . In some embodiments, the processor 401, the memory 402, and the peripheral device interface 403 are integrated on the same chip or circuit board; in some other embodiments, any one of the processor 401, the memory 402, and the peripheral device interface 403 or Both of them can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

The radio frequency circuit 404 is used to receive and transmit RF (Radio Frequency, radio frequency) signals, also called electromagnetic signals. Radio frequency circuit 404 communicates with communication networks and other communication devices through electromagnetic signals. The radio frequency circuit 404 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the radio frequency circuit 404 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec Chipsets, User Identity Module cards, and more. The radio frequency circuit 404 can communicate with other host computers through at least one wireless communication protocol. The wireless communication protocol includes but is not limited to: World Wide Web, metropolitan area network, intranet, mobile communication networks of all generations (2G, 3G, 4G and 5G), wireless local area network and/or WiFi (Wireless Fidelity, wireless fidelity) network. In some embodiments, the radio frequency circuit 404 may also include NFC (Near Field Communication) related circuits, which is not limited in this application.

The touch display screen 405 is used to display UI (User Interface, user interface). The UI can include graphics, text, icons, videos, and any combination thereof. Touch display 405 also has the ability to collect touch signals on or above the surface of touch display 405 . The touch signal can be input to the processor 401 as a control signal for processing. The touch display screen 405 is used to provide virtual buttons and/or virtual keyboards, also called soft buttons and/or soft keyboards. In some embodiments, there may be one touch display screen 405, which is provided on the front panel of the host computer 400; in other embodiments, there may be at least two touch display screens 405, which are respectively provided on different surfaces or presentations of the host computer 400. Folding design; in some embodiments, the touch display screen 405 may be a flexible display screen, which is provided on the curved surface or folding surface of the host computer 400 . Even, the touch display screen 405 can also be set in a non-rectangular irregular shape, that is, a special-shaped screen. The touch display screen 405 can be made of LCD (Liquid Crystal Display, liquid crystal display), OLED (Organic Light-Emitting Diode, organic light-emitting diode) and other materials.

The camera assembly 406 is used to capture images or videos. Optionally, the camera assembly 406 includes a front camera and a rear camera. Usually, the front camera is used for video calls or selfies, and the rear camera is used for taking photos or videos. In some embodiments, there are at least two rear cameras, one of which is a main camera, a depth camera, and a wide-angle camera, so as to realize the integration of the main camera and the depth-of-field camera to achieve the background blur function, and the integration of the main camera and the wide-angle camera. Realize panoramic shooting and VR (Virtual Reality, virtual reality) shooting functions. In some embodiments, camera assembly 406 may also include a flash. The flash can be a single color warm flash light, or a dual-color temperature flash. Dual color temperature flash refers to a combination of warm light flash and cold light flash, which can be used for light compensation under different color temperatures.

The audio circuit 407 is used to provide an audio interface between the user and the host computer 400 . Audio circuitry 407 may include a microphone and speakers. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals that are input to the processor 401 for processing, or to the radio frequency circuit 404 to implement voice communication. For the purpose of stereo collection or noise reduction, there can be multiple microphones, which are respectively arranged at different parts of the host computer 400 . The microphone can also be an array microphone or an omnidirectional collection microphone. The speaker is used to convert electrical signals from the processor 401 or the radio frequency circuit 404 into sound waves. The loudspeaker can be a traditional membrane loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert electrical signals into sound waves that are audible to humans, but also convert electrical signals into sound waves that are inaudible to humans for purposes such as ranging. In some embodiments, audio circuitry 407 may also include a headphone jack.

The positioning component 408 is used to locate the current geographical location of the host computer 400 to implement navigation or LBS (Location Based Service). The positioning component 408 may be a positioning component based on the American GPS (Global Positioning System), China's Beidou system, or Russia's Galileo system.

The power supply 409 is used to provide power to various components in the host computer 400 . Power source 409 may be AC, DC, disposable batteries, or rechargeable batteries. When the power source 409 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. Wired rechargeable batteries are batteries that are charged through wired lines, and wireless rechargeable batteries are batteries that are charged through wireless coils. The rechargeable battery can also be used to support fast charging technology.

In some embodiments, the host computer 400 further includes one or more sensors 410 . The one or more sensors 410 include, but are not limited to: an acceleration sensor 411, a gyroscope sensor 412, a pressure sensor 413, a fingerprint sensor 414, an optical sensor 415, and a proximity sensor 416.

The acceleration sensor 411 can detect the three coordinate axes of the coordinate system established by the host computer 400 the magnitude of the acceleration on. For example, the acceleration sensor 411 can be used to detect the components of gravity acceleration on three coordinate axes. The processor 401 can control the touch display screen 405 to display the user interface in a horizontal view or a vertical view according to the gravity acceleration signal collected by the acceleration sensor 411 . The acceleration sensor 411 can also be used to collect game or user motion data.

The gyro sensor 412 can detect the body direction and rotation angle of the host computer 400, and the gyro sensor 412 can cooperate with the acceleration sensor 411 to collect the user's 3D (3D) movements on the host computer 400. Based on the data collected by the gyro sensor 412, the processor 401 can implement the following functions: motion sensing (such as changing the UI according to the user's tilt operation), image stabilization during shooting, game control, and inertial navigation.

The pressure sensor 413 may be provided on the side frame of the host computer 400 and/or on the lower layer of the touch display screen 405 . When the pressure sensor 413 is disposed on the side frame of the host computer 400, it can detect the user's grip signal on the host computer 400, and perform left and right hand recognition or quick operations based on the hold signal. When the pressure sensor 413 is provided on the lower layer of the touch display screen 405, the operability controls on the UI interface can be controlled according to the user's pressure operation on the touch display screen 405. The operability control includes at least one of a button control, a scroll bar control, an icon control, and a menu control.

The fingerprint sensor 414 is used to collect the user's fingerprint to identify the user's identity based on the collected fingerprint. When the user's identity is recognized as a trusted identity, the processor 401 authorizes the user to perform relevant sensitive operations. The sensitive operations include unlocking the screen, viewing encrypted information, downloading software, making payments, and changing settings. The fingerprint sensor 414 may be disposed on the front, back or side of the host computer 400 . When the host computer 400 is provided with a physical button or a manufacturer's logo, the fingerprint sensor 414 can be integrated with the physical button or the manufacturer's logo.

The optical sensor 415 is used to collect ambient light intensity. In one embodiment, the processor 401 can control the display brightness of the touch display screen 405 according to the ambient light intensity collected by the optical sensor 415 . Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 405 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 405 is decreased. In another embodiment In the process, the processor 401 can also dynamically adjust the shooting parameters of the camera assembly 406 according to the ambient light intensity collected by the optical sensor 415.

The proximity sensor 416, also called a distance sensor, is usually provided on the front of the host computer 400. The proximity sensor 416 is used to collect the distance between the user and the front of the host computer 400 . In one embodiment, when the proximity sensor 416 detects that the distance between the user and the front of the host computer 400 gradually becomes smaller, the processor 401 controls the touch display 405 to switch from the bright screen state to the closed screen state; when the proximity sensor 416 When it is detected that the distance between the user and the front of the host computer 400 gradually increases, the processor 401 controls the touch display screen 405 to switch from the screen off state to the screen on state.

Those skilled in the art can understand that the structure shown in FIG. 5 does not limit the host computer 400, and may include more or fewer components than shown, or combine certain components, or adopt different component arrangements.

Embodiment 6

In an exemplary embodiment, a computer-readable storage medium is also provided, with a computer program stored thereon. When the program is executed by a processor, the SOC accuracy during vehicle operation is achieved as provided by all the invention embodiments of the present application. Authentication method.

Any combination of one or more computer-readable media may be employed. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections having one or more conductors, portable computer disks, hard drives, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. As used herein, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying computer-readable program code therein. Such propagated data signals may take 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 may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .

Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of the present invention may be written in one or more programming languages, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional Procedural programming language—such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In situations involving remote computers, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as an Internet service provider through Internet connection).

Embodiment 7

In an exemplary embodiment, an application product is also provided, including one or more instructions, which can be executed by the processor 401 of the above-mentioned device to achieve SOC accuracy during the operation of the above-mentioned vehicle. Authentication method.

Although embodiments of the present invention have been disclosed above, they are not limited to the uses set forth in the specification and description. It can be applied to various fields suitable for the present invention. for familiarity Additional modifications can be readily implemented by those skilled in the art. Therefore, the invention is not limited to the specific details and illustrations shown and described herein without departing from the general concept as defined by the claims and their equivalent scope.

Claims

A SOC accuracy verification system during vehicle operation, which is characterized in that it includes a rotating drum arranged in an environmental chamber, a tested vehicle is arranged on the rotating drum, and the battery management system of the tested vehicle has a high-voltage circuit electrification A high-precision current sensor is connected. The battery management system of the vehicle under test is electrically connected to the charging equipment and the data acquisition system. The data acquisition system is electrically connected to the high-precision current sensor and the communication module. The communication module They are electrically connected to the rotating drum, environmental chamber, charging equipment, host computer and working condition display equipment respectively.
A SOC accuracy verification system during vehicle operation according to claim 1, characterized in that the environmental chamber is used to adjust the test starting environmental temperature of the vehicle under test and the change of the environmental temperature during the test process, and the rotation The drum is used to simulate the actual road driving conditions of the vehicle. The charging equipment includes AC charging equipment and DC charging equipment. The AC charging equipment and DC charging equipment are used to simulate AC charging and DC charging of the vehicle under test respectively. , the high-precision current sensor is used to collect power battery current data and feeds it back to the data acquisition system. The data acquisition system is used to obtain power battery current data and actual vehicle data and transmit them to the communication module. The communication module is used for data collection. The system, rotating drum, environmental chamber, charging equipment and working condition display equipment respectively communicate with the host computer. The upper computer is used to set relevant test parameters of the rotating drum, environmental chamber and charging equipment according to the corresponding test conditions, and also It is used to verify the SOC accuracy during vehicle operation based on the power battery current data and actual vehicle data fed back by the data acquisition system, and is also used to send the test working conditions at the corresponding time to the working condition display device, and the working condition display The equipment is used to receive the test conditions at the corresponding time and display them.
A method for verifying SOC accuracy during vehicle operation, which is characterized by including:

When receiving the verification request data, in response to the SOC accuracy verification instruction, the corresponding working condition parameters are sent to the drum, environmental chamber and charging equipment respectively according to the corresponding test working conditions;

Obtain power battery current data and actual vehicle data respectively. According to the power battery current data Get baseline SOC data;

Based on the baseline SOC data and actual vehicle data, the SOC accuracy is verified during vehicle operation and the corresponding working condition test results are obtained.
A SOC accuracy verification method during vehicle operation according to claim 3, characterized in that when receiving the verification request data, before responding to the SOC accuracy verification instruction, it also includes:

Obtain a typical working condition test database, and extract test working conditions through the typical working condition test database.
A method for verifying SOC accuracy during vehicle operation according to claim 4, characterized in that said obtaining a typical working condition test database includes:

Obtain the user's operating conditions, and determine based on the user's operating conditions, the actual vehicle operating condition data and the user's operating conditions stage where the SOC error is too large to appear corrected;

The typical working condition test database is determined based on the actual vehicle working condition data and the user's working condition stage that have been corrected due to excessive errors in the SOC.
A method for verifying SOC accuracy during vehicle operation according to claim 5, characterized in that: obtaining the user's working conditions, and determining based on the user's working conditions that the SOC error is too large to cause correction of the actual vehicle working conditions. condition data and user usage conditions, including:

Relying on big data, cloud computing data and test data to obtain EV and PHEV vehicle driving data respectively;

Obtain several battery SOC jump points based on the EV and PHEV vehicle driving data;

According to several of the battery SOC jump points, a number of SOC jump points adjacent to the battery SOC jump point or a full charge normal end point are obtained;

Based on a number of battery SOC jump points and a number of SOC jump points adjacent to the battery SOC jump point or full charge normal end point, the actual vehicle operating condition data and user operating conditions of the SOC are corrected due to excessive errors. stage.
A SOC accuracy verification method during vehicle operation according to claim 6, characterized in that the battery SOC jump point at least includes: a fully charged SOC jump point, a BMS power-on correction SOC jump point, The actual vehicle data at least includes: battery SOC, ambient temperature, battery temperature, current and vehicle speed. The actual vehicle operating condition data that is corrected due to excessive errors in the SOC at least includes: battery SOC, ambient temperature, battery temperature, Current, vehicle speed, battery status, charging status, charging gun connection status.
A method for verifying SOC accuracy during vehicle operation according to claim 7, characterized in that the typical operating conditions are determined based on the actual vehicle operating condition data and the user operating condition stage where the SOC error is too large to cause correction. condition test database, including:

Determine the ambient temperature of the working conditions, the user SOC usage range, the user driving conditions and the user charging conditions according to the actual vehicle working condition data and the user working condition stage where the SOC error is too large to be corrected;

According to the ambient temperature of the working conditions and the user SOC usage interval, respectively determine the usage environment temperature interval where the error occurs and the user SOC usage upper and lower limits;

According to the user driving conditions and user charging conditions, the proportion of urban working conditions and high-speed working conditions, the proportion of DC charging and AC charging, and the charging SOC range are respectively determined;

Determine several typical test conditions based on the ambient temperature range where the error occurs, the upper and lower limits of user SOC, the proportion of urban working conditions and high-speed working conditions, the proportion of DC charging and AC charging, and the charging SOC range;

The several typical test conditions are integrated to obtain a typical test database.
A device for verifying SOC accuracy during vehicle operation, which is characterized by including:

A verification preparation module, configured to respond to the SOC accuracy verification instruction when receiving the verification request data and send the corresponding working condition parameters to the drum, environmental chamber and charging equipment according to the corresponding test working conditions;

Calculation benchmark module is used to obtain power battery current data and actual vehicle data respectively. The above power battery current data is used to obtain the baseline SOC data;

The verification accuracy module is used to verify the SOC accuracy during vehicle operation based on the benchmark SOC data and actual vehicle data and obtain corresponding working condition test results.
A host computer is characterized by including:

one or more processors;

memory for storing instructions executable by the one or more processors;

Wherein, the one or more processors are configured to:

Execute a SOC accuracy verification method during vehicle operation as described in any one of claims 3 to 8.