Vehicle detection method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application disclose a vehicle detection method, device, equipment and medium. The method comprises: obtaining identity information corresponding to a vehicle to be detected, determining vehicle information corresponding to the vehicle to be detected based on the identity information; if the vehicle information is authenticated and appearance data collection of the vehicle to be detected is completed, obtaining a battery state of the vehicle to be detected; completing electrical safety detection of the vehicle to be detected based on the battery state, and establishing a communication connection between a vehicle-mounted automatic diagnosis system of the vehicle to be detected; receiving chassis test data of the vehicle reported by the vehicle-mounted automatic diagnosis system through the communication connection, and generating a detection report of the vehicle to be detected based on the chassis test data, the electrical safety detection, the appearance data and the identity. The embodiments of the present application improve the efficiency and accuracy of vehicle detection, reduce the possibility of human error, and the detailed detection report also provides clear information about the health status of the vehicle for the vehicle owner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of virtual image generation, and in particular to a vehicle detection method and device, electronic equipment, and computer readable storage medium. BACKGROUND

[0002] The annual inspection information of a conventional vehicle is in the form of a paper label attached to the front windshield of the cab of the vehicle, and the traffic management part can understand the annual inspection situation of the vehicle by identifying the label, so as to achieve the purpose of recording the annual inspection information of the vehicle.

[0003] However, with the vigorous development of new energy vehicles in China, the market share of new energy vehicles is also increasing year by year, although the safety of new energy vehicles is not inferior to that of conventional fuel vehicles, but many users still worry about the safety of new energy vehicles, and therefore annual inspection of new energy vehicles can effectively reduce the probability of accidents, and how to detect new energy vehicles is a technical problem to be solved at present. SUMMARY

[0004] To solve the above technical problems, embodiments of the present application provide a vehicle detection method and device, electronic equipment, computer readable storage medium, and computer program product.

[0005] According to an aspect of an embodiment of the present application, a vehicle detection method is provided, comprising: obtaining identity information corresponding to a vehicle to be detected, determining vehicle information corresponding to the vehicle to be detected based on the identity information; if the vehicle information is authenticated and the appearance data of the vehicle to be detected is collected, obtaining the state of the storage battery of the vehicle to be detected; completing the electrical safety detection of the vehicle to be detected based on the state of the storage battery, and establishing a communication connection between the vehicle to be detected and the on-board automatic diagnostic system; receiving the chassis test data of the vehicle reported by the on-board automatic diagnostic system through the communication connection, and generating a detection report of the vehicle to be detected based on the chassis test data, the electrical safety detection, the appearance data, and the identity information.

[0006] According to an aspect of an embodiment of the present application, the method further comprises: determining the chassis related parameters corresponding to the vehicle to be detected based on the identity information; adjusting the operating parameters of the chassis test equipment based on the chassis related parameters to obtain an adjusted chassis test equipment; and establishing a communication connection between the adjusted chassis test equipment and the on-board automatic diagnostic system.

[0007] According to an aspect of the embodiment of the present application, after the communication connection between the adjusted chassis test device and the on-board automatic diagnosis system is established, the method further comprises: fixing the adjusted chassis test device and the vehicle to be detected, and controlling the vehicle to be detected to run at a preset vehicle speed; obtaining working condition information corresponding to the vehicle to be detected at the preset vehicle speed, so as to obtain chassis test data of the vehicle to be detected based on the working condition information through the on-board automatic diagnosis system.

[0008] According to an aspect of the embodiment of the present application, the method further comprises: obtaining multiple working condition information corresponding to the vehicle to be detected at the preset vehicle speed according to a first preset frequency; generating chassis diagnosis data of the vehicle to be detected based on the multiple working condition information through the on-board automatic diagnosis system; and obtaining a chassis test report of the vehicle to be detected based on the chassis diagnosis data.

[0009] According to an aspect of the embodiment of the present application, the method further comprises: establishing a connection between the vehicle to be detected and a charging detection device; performing electrical safety detection on the vehicle to be detected based on the charging detection device; and obtaining state data of a battery of the vehicle to be detected during the electrical safety detection, the state data comprising at least one of potential, capacity, voltage and temperature.

[0010] According to an aspect of the embodiment of the present application, the method further comprises: converting the state data into corresponding identification codes based on a mapping relationship between the state data and the identification codes, the identification codes comprising a service identification code and a service identification code; generating a CAN message based on the service identification code and the service identification code, so as to determine an electrical safety detection result corresponding to the vehicle to be detected based on the CAN message.

[0011] According to an aspect of the embodiment of the present application, the method further comprises: collecting the CAN message according to a second preset frequency within a preset period, the second preset frequency being lower than the first preset frequency; and determining an electrical safety detection result corresponding to the vehicle to be detected based on state data corresponding to multiple CAN messages collected within the preset period.

[0012] According to an aspect of some embodiments of the present application, a vehicle detection device is provided, comprising: an acquisition module configured to acquire identity information of a vehicle to be detected, and determine vehicle information of the vehicle to be detected based on the identity information; a judgment module configured to, if the vehicle information is authenticated and appearance data of the vehicle to be detected is acquired, acquire a battery state of the vehicle to be detected; a detection module configured to complete electrical safety detection of the vehicle to be detected based on the battery state, and establish a communication connection with an on-board diagnostic system of the vehicle to be detected; and a generation module configured to receive chassis test data of the vehicle reported by the on-board diagnostic system through the communication connection, and generate a detection report of the vehicle to be detected based on the chassis test data, the electrical safety detection, the appearance data, and the identity information.

[0013] According to an aspect of some embodiments of the present application, an electronic device is provided, comprising: one or more processors; and a storage device configured to store one or more programs, which when executed by the one or more processors, cause the electronic device to implement the vehicle detection method as described above.

[0014] According to an aspect of some embodiments of the present application, a computer-readable storage medium is provided, which stores computer-readable instructions, which when executed by a processor of a computer, cause the computer to perform the vehicle detection method as described above.

[0015] According to an aspect of some embodiments of the present application, a computer program product is also provided, comprising a computer program which, when executed by a processor, implements the steps of the vehicle detection method as described above.

[0016] In the technical solutions provided by the embodiments of the present application, through the automatic and standardized processes, such as rapid vehicle information confirmation based on vehicle identity information, automatic acquisition of battery state, automatic execution of electrical safety detection, and real-time reception of chassis test data through the on-board diagnostic system, the efficiency and accuracy of vehicle detection are significantly improved, the possibility of human error is reduced, and the detection report not only contains the electrical safety detection result, but also combines the chassis test data, appearance data, and identity information of the vehicle, forming a comprehensive and integrated vehicle health condition evaluation. The automatic detection process and comprehensive detection report reduce the waiting time and uncertainty of the vehicle owner during the vehicle detection process, improve the overall experience of the user, and at the same time, the detailed detection report provides clear information about the vehicle health condition for the vehicle owner, enhancing the initiative and enthusiasm of the vehicle owner for vehicle maintenance.

[0017] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application, as claimed. BRIEF DESCRIPTION OF DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and serve to explain the principles of the application. It is readily apparent to one skilled in the art that the following figures are merely illustrative of some embodiments of the application and that other figures can be obtained from these figures without paying creative labor, which are suitable for one skilled in the art. In the drawings:

[0019] Figure 1 is a schematic diagram of an implementation environment for vehicle detection according to an example embodiment of the present application;

[0020] Figure 2 is a flowchart of a vehicle detection method according to an example embodiment of the present application;

[0021] Figure 3 is a flowchart of a vehicle detection method according to another example embodiment of the present application;

[0022] Figure 4 is a flowchart of a vehicle detection method according to another example embodiment of the present application;

[0023] Figure 5 is a flowchart of a vehicle detection method according to another example embodiment of the present application;

[0024] Figure 6 is a flowchart of a vehicle detection method according to another example embodiment of the present application;

[0025] Figure 7 is a flowchart of a vehicle detection method according to another example embodiment of the present application;

[0026] Figure 8 is a flowchart of a vehicle detection method according to another example embodiment of the present application;

[0027] Figure 9 is a schematic diagram of a brief flow of vehicle detection in an example application scenario;

[0028] Figure 10 is a block diagram of a vehicle detection device according to an example embodiment of the present application;

[0029] Figure 11 shows a structural schematic diagram of a computer system of an electronic device suitable for implementing embodiments of the present application. DETAILED DESCRIPTION

[0030] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The following description is made with reference to the accompanying drawings in which like reference numerals refer to like elements, and the description which will be made is intended to comprise diverse embodiments and are not intended to limit the present application to a single embodiment. Rather, it is intended to cover all modifications and alternative methods and apparatuses coming within the scope of the present application, as defined by the appended claims.

[0031] The block diagrams shown in the drawings are merely functional entities, and do not necessarily have to correspond to physically independent entities. That is, the functional entities can be implemented in software, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0032] The flowcharts shown in the drawings are merely exemplary illustrations, and do not necessarily include all contents and operations / steps, nor are they necessarily executed in the order described. For example, some operations / steps can be further divided, and some operations / steps can be combined or partially combined, so that the actual execution order can be changed depending on the actual situation.

[0033] In the present application, "a plurality of" means two or more. "And / or" describes the association between the associated objects, indicating that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. The character " / " generally means that the associated objects before and after are in an "or" relationship.

[0034] First of all, the annual inspection content of new energy vehicles is more complex than that of traditional fuel vehicles. Because new energy vehicles add core components such as power battery, motor, and electronic control, the safety and performance of these components are crucial to the overall operation of the vehicle. Therefore, the annual inspection content of new energy vehicles mainly includes the following aspects: Vehicle appearance: Check whether the vehicle body, lights, tires, etc. are in good condition, without damage, deformation or abnormal wear. Safety devices: including seat belts, brake systems, steering systems, etc., to ensure their normal function, no fault or safety hazard. Chassis and brakes: Check whether the chassis is rusted or deformed, and whether the brake system is sensitive and reliable. Power battery: Perform safety charging detection and electrical safety detection on the power battery to ensure its good working condition, no safety hazards such as leakage and short circuit. For operating new energy vehicles, the temperature and voltage of the power battery during charging and discharging will also be detected. Drive motor and electronic control system: Check the running state of the drive motor and electronic control system to ensure its stable performance, no abnormal noise, overheating, etc. With the increasing number of new energy vehicles, relevant departments are constantly improving the annual inspection standards and processes of new energy vehicles. The safety charging detection and electrical safety detection of the power battery are listed as mandatory items, further improving the relevance and effectiveness of the annual inspection of new energy vehicles. This will help promote the healthy development of the new energy vehicle industry and ensure the safety of vehicle owners.

[0035] Figure 1 is an example of a vehicle detection implementation environment according to an example embodiment of the present application. As shown in Figure 1 During the detection of the vehicle 110, the server 120 can obtain the identity of the vehicle, and through the identity, the brand, model, battery brand, battery type, drive motor manufacturer, etc. of the vehicle can be determined. Then, according to the vehicle information, it can be judged whether the vehicle has modification items and the modification items are recorded, and then the appearance of the vehicle is detected. After the appearance detection is completed, the server 120 further performs electrical safety detection on the battery of the vehicle, and the server 120 establishes a communication connection with the on-board diagnostic system to receive the vehicle chassis test data reported by the on-board diagnostic system through the communication connection, and then the server 120 can further integrate the vehicle chassis test data, electrical safety detection data, appearance data and the identity of the vehicle to generate a detection report of the vehicle.

[0036] wherein, Figure 1The server 120 shown can be, for example, a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. No restrictions are imposed here. The vehicle 110 can communicate with other vehicles via wireless networks such as 3G (third-generation mobile information technology), 4G (fourth-generation mobile information technology), and 5G (fifth-generation mobile information technology). No restrictions are imposed here either.

[0037] Traditionally, vehicle annual inspection information is displayed on paper labels affixed to the windshield of the vehicle's driver's compartment. Traffic management departments can understand the vehicle's annual inspection status by recognizing the labels, thus achieving the purpose of recording vehicle annual inspection information.

[0038] However, with the booming development of new energy vehicles in my country, the market share of new energy vehicles is also increasing year by year. Although the safety of new energy vehicles is no less than that of traditional fuel vehicles, many users are still worried about their safety. Therefore, annual inspection of new energy vehicles can effectively reduce the probability of accidents. How to inspect new energy vehicles is a technical problem that urgently needs to be solved.

[0039] The problems pointed out above are universally applicable in common scenarios. To solve these problems, embodiments of this application propose a vehicle detection method, a vehicle detection device, an electronic device, a computer-readable storage medium, and a computer program product, which will be described in detail below.

[0040] Please see Figure 2 , Figure 2 This is a flowchart illustrating a vehicle detection method in an exemplary embodiment of this application. This method can be applied to... Figure 1 The implementation environment shown is specifically executed by server 120 within that implementation environment. It should be understood that this method can also be applied to other exemplary implementation environments and specifically executed by devices in other implementation environments; this embodiment does not limit the implementation environment to which the method is applicable.

[0041] like Figure 2 As shown, in an exemplary embodiment, the vehicle detection method includes at least steps S210 to S240, which are described in detail below:

[0042] Step S210: Obtain the identification information corresponding to the vehicle to be detected, and determine the vehicle information corresponding to the vehicle to be detected based on the identification information.

[0043] Specifically, the vehicle identification number (VIN) corresponding to the vehicle can be obtained, where each vehicle has a unique VIN code that can be used to confirm the vehicle's brand, model, production date, and place of origin, etc. It is like the "identity card" of the vehicle, which is the key to vehicle identification. Through the VIN code, the vehicle's history record can be queried, including whether there is an accident record, maintenance record, maintenance condition, etc., and the VIN code can also be used to query the accurate model and specifications of the vehicle parts, making it convenient for the vehicle owner or repair shop to purchase the correct parts. This uniqueness ensures the correct matching of parts and improves the accuracy of maintenance. Further, the basic information of the vehicle can be determined through the VIN code of the vehicle, such as vehicle brand, vehicle model, battery brand, battery type, drive motor manufacturer, drive motor type, and vehicle quality, etc. Further, the vehicle information of the vehicle can be detected item by item, and if there are modified items, they can be updated to the corresponding server.

[0044] Step S220, if the vehicle information authentication is passed and the appearance data collection of the vehicle to be detected is completed, the state of the storage battery of the vehicle to be detected is obtained.

[0045] Specifically, after the vehicle information authentication record is completed, the appearance detection of the vehicle can be started, such as detecting whether the vehicle body has scratches, whether the brand type identification of the vehicle is normal, whether the lighting is normal, whether the tire is damaged, etc. And after the appearance data collection is completed, the state of the storage battery of the vehicle is further obtained.

[0046] Exemplarily, in the case where the vehicle information authentication is passed and the appearance data collection of the vehicle is completed, in order to obtain the state of the storage battery of the vehicle, a series of technical measures can be taken. The state of the storage battery usually includes the amount of electricity, voltage, current, health status (such as SOH, i.e. State of Health) and whether there is a fault, etc. These information is crucial for evaluating the performance of the vehicle and predicting possible problems. For example, a professional automotive diagnostic tool (such as an OBD-II scanner) can be used to connect to the vehicle's diagnostic system through the vehicle's OBD-II interface. This interface is usually located below or near the driver's side instrument panel. Through the diagnostic device, the control unit (ECU) of the vehicle can be accessed and requested to send relevant data of the storage battery. These data may include the current voltage, current, percentage of electricity, and the health status of the storage battery, etc. Once the data of the storage battery is obtained from the vehicle system, the diagnostic device or software on the computer can be used to analyze and interpret these data. For example, it can be checked whether the voltage of the storage battery is within the normal range, whether the current has abnormal fluctuations, and whether the amount of electricity is sufficient.

[0047] Step S230, based on the battery state, complete the electrical safety detection of the vehicle to be detected, and establish a communication connection with the on-board automatic diagnosis system of the vehicle to be detected.

[0048] Specifically, in the process of completing the electrical safety detection of the vehicle based on the battery state, it is first necessary to ensure that the state of the battery itself is good, because the battery is one of the core components of the vehicle electrical system, which is responsible for providing power support for the vehicle electrical system. Once the battery state is confirmed (such as sufficient power, stable voltage, no fault, etc.), further electrical safety detection can be performed.

[0049] Among them, the electrical safety detection usually includes the following aspects: circuit system inspection: check the vehicle's circuit system, including wires, connectors, fuses and relays, etc. Components to ensure that they are not damaged, aged or poorly connected. This helps to prevent electrical faults such as short circuits, open circuits, etc. Electrical element testing: test various electrical elements on the vehicle, such as headlights, horns, wipers, air conditioning systems, etc., to ensure they are working properly. Failure of these elements can affect driving safety or normal use of the vehicle. Charge and discharge test: for the battery itself, in addition to checking its current state, a charge and discharge test can also be performed to evaluate its performance and health. These tests can reveal key parameters such as battery capacity, internal resistance, etc., helping to predict its service life and potential problems. Grounding system inspection: check the vehicle's grounding system to ensure all electrical components are properly grounded. Poor grounding can cause the electrical system to work unstable or fail.

[0050] Step S240, receiving the chassis test data reported by the on-board automatic diagnosis system through the communication connection, and generating a detection report of the vehicle to be detected based on the chassis test data, the electrical safety detection, the appearance data and the identity.

[0051] Specifically, chassis test data: These data usually include performance parameters and test results of suspension systems, braking systems, steering systems, etc. Chassis testing is crucial for evaluating the safety and handling of vehicles. Electrical safety detection data: including battery status, circuit system inspection results, electrical component test conditions, grounding system inspection, etc. These data reflect the health and safety of the vehicle's electrical system. Appearance data: collected vehicle appearance information such as body damage, paint condition, tire wear, etc. is also important for evaluating the overall condition and potential value of the vehicle. Identity: the VIN code (Vehicle Identification Number) or other unique identifier of the vehicle, used to confirm the identity of the vehicle and trace its history. Analyze the received data in depth, identify any abnormal situations, potential problems or non-standard places. Compare chassis test data with manufacturer's specifications or industry standards to evaluate whether the vehicle's performance meets the standards. Integrate electrical safety test results to evaluate the safety and reliability of the vehicle's electrical system. Combine appearance data to comprehensively evaluate the overall condition of the vehicle. According to the analysis results, write a detailed test report. The report should include basic information of the vehicle (such as VIN code, vehicle model, production date, etc.), test time, test personnel, etc. basic information. List the test contents and results of chassis test, electrical safety test, appearance inspection, etc. For problems or abnormal situations found, detailed description and possible explanation or suggestions should be given.

[0052] In this embodiment, through the means of automation and digitization (such as quick vehicle information confirmation based on identity information, automatic detection of battery status, communication connection with on-board automatic diagnosis system, etc.), the time and error rate of manual operation are greatly reduced, and the overall efficiency and accuracy of the detection process are improved. Combined with chassis test data, electrical safety test results, appearance data and vehicle identity information, a comprehensive and detailed vehicle detection report can be generated. This comprehensive evaluation not only covers the main mechanical and electrical systems of the vehicle, but also considers the identity information and appearance condition of the vehicle, providing comprehensive vehicle status information for the owner and maintenance personnel.

[0053] Further, based on the above embodiments, please refer to Figure 3 In one of the example embodiments provided in the present application, the specific implementation process of the above vehicle detection method can further include steps S310 to S330, which are described in detail as follows:

[0054] Step S310, determining the chassis related parameters corresponding to the vehicle to be detected based on the identity;

[0055] Step S320, adjusting the operating parameters of the chassis test equipment based on the chassis related parameters to obtain the adjusted chassis test equipment;

[0056] Step S330, the communication connection between the adjusted chassis test equipment and the on-board automatic diagnostic system is established.

[0057] Specifically, the tire specification, hub spacing, wheelbase and other parameters of the vehicle can be determined according to the identity of the vehicle, so as to adjust the operating parameters of the chassis test equipment. The tire specification is a set of numerical and alphabetical codes that describe the size and performance characteristics of a tire. It usually includes information such as tire width, aspect ratio, tire type, rim diameter, load index, and speed rating. For example, in the tire specification "195 / 55R1685V", 195 represents the tire width of 195 mm, 55 represents the aspect ratio (i.e. the percentage of tire cross-section height to width), R represents the radial tire, 16 represents the rim diameter of 16 inches, 85 is the load index, and V is the speed rating. Tire specification is an important basis for tire selection, replacement and maintenance. Hub spacing, more accurately, hub hole spacing or pitch circle diameter (PCD), refers to the distance between the centers of two adjacent fixed bolt holes in the hub inner ring. This parameter is crucial for ensuring that the wheels are correctly installed on the vehicle. Different vehicle and hub designs may have different hub hole spacings, so special attention is needed when selecting and installing wheels. The value of hub hole spacing is usually expressed in millimeters, such as "5X114.3" indicating that the hub has five bolt holes, and the center distance between adjacent two holes is 114.3 mm. The wheelbase refers to the distance between the midpoints (or axes) of the two adjacent wheels on the same side of the vehicle, that is, the distance between the front axle center and the rear axle center. The wheelbase is one of the important parameters of vehicle design and performance, which affects the stability, handling, ride comfort and space layout of the vehicle. Different vehicle models and purposes often have different wheelbase designs to meet different use requirements.

[0058] For example, using the input identity, the corresponding vehicle parameters are queried in the vehicle information database. These parameters include but are not limited to tire specification, hub spacing (pitch circle diameter), wheelbase, vehicle weight, engine type, etc. According to the extracted tire specification, hub spacing and wheelbase parameters, the adjustment of the chassis test equipment is analyzed. For example, the tire specification determines the road surface friction coefficient and tire load capacity that the test equipment needs to simulate; the hub spacing and wheelbase affect the positioning accuracy and test range of the test equipment. According to the analysis results, the operating parameters of the chassis test equipment are adjusted accordingly. This may include adjusting the size, shape and height of the test platform to adapt to vehicles with different wheelbases; adjusting the size and air pressure of the test tires to match the actual vehicle tires; adjusting the sensors and control systems of the test equipment to ensure the accuracy and reliability of the test. After completing the adjustment of the equipment parameters, necessary verification and test are carried out to ensure that the adjusted chassis test equipment can accurately simulate the driving conditions and performance of the actual vehicle.

[0059] In this embodiment, the operating parameters of the chassis test equipment are adjusted according to the chassis-related parameters, which can ensure that the test equipment operates in the best state, thereby improving the accuracy and reliability of the test results. By establishing a communication connection with the on-board automatic diagnostic system (OBD system), real-time transmission and automatic analysis of test data can be achieved, further improving the automation and intelligence level of the test. Moreover, this automated test process reduces human intervention and errors, improves test consistency and repeatability.

[0060] Further, based on the above embodiments, please refer to Figure 4 In one of the example embodiments provided in this application, after establishing the communication connection between the adjusted chassis test equipment and the on-board automatic diagnostic system, the specific implementation process of the vehicle detection method can further include steps S410 and S420, which are described in detail as follows:

[0061] Step S410, fix the adjusted chassis test equipment with the vehicle to be detected, and control the vehicle to be detected to run at a preset speed;

[0062] Step S420, obtain the working condition information corresponding to the vehicle to be detected at the preset speed, so as to obtain the chassis test data of the vehicle to be detected based on the working condition information through the on-board automatic diagnostic system.

[0063] Specifically, ensure that the chassis test equipment and the vehicle are firmly connected through appropriate clamps, supports or other fixing devices. This can prevent the equipment or vehicle from moving or deviating during the test, thereby ensuring the accuracy and safety of the test. Adjust the relative position between the chassis test equipment and the vehicle to ensure that the test equipment can accurately simulate and measure the performance of the vehicle chassis under different working conditions. This may include adjusting the height, angle and position of the test platform and other parameters. According to the test requirements, set a preset speed in the chassis test equipment or vehicle control system. This speed can be constant or change according to certain rules to simulate different working conditions in actual driving.

[0064] During vehicle operation, real-time monitoring and recording of vehicle working condition information is performed through on-board sensors and chassis test equipment. These information can include vehicle speed, acceleration, braking force, steering angle, suspension system status, etc., which reflect the actual performance of the vehicle under different working conditions. The on-board automatic diagnostic system (OBD system) can read and analyze the data of each system of the vehicle in real time, including the engine, transmission system, braking system, suspension system, etc. During the operation of the vehicle according to the preset vehicle speed, the OBD system continuously collects data related to the chassis performance, such as engine speed, wheel speed, ABS working state, etc. The data obtained by the on-board automatic diagnostic system is synchronized and matched with the data of the chassis test equipment, and these data are processed and analyzed through data processing and analysis software. This can reveal the performance of the vehicle chassis under different working conditions, such as the response speed of the suspension system, the efficiency of the braking system, the stability of the steering system, etc. Based on the processed and analyzed data, the performance of the vehicle chassis is comprehensively evaluated. This may include comparison with standard values or reference values to determine whether the performance of the vehicle chassis meets the requirements or there are any problems.

[0065] In this embodiment, by firmly fixing the chassis test equipment and the vehicle to be detected, test errors caused by vehicle shaking or equipment loosening can be effectively avoided, ensuring the stability and reliability of the test data. By obtaining working condition information at a preset speed, the performance of the vehicle chassis system can be comprehensively evaluated, including the response and stability of the suspension system, braking system, steering system, etc. This comprehensive evaluation helps to discover potential performance problems or hidden faults, providing strong support for subsequent maintenance and repair.

[0066] Further, based on the above embodiment, please refer to Figure 5 In one of the example embodiments provided in the present application, the specific implementation process of the above vehicle detection method can further include steps S510 to S530, which are described in detail as follows:

[0067] Step S510: Obtain multiple working condition information corresponding to the vehicle to be detected at a preset speed according to a first preset frequency;

[0068] Step S520: Generate chassis diagnosis data of the vehicle to be detected based on the multiple working condition information through the on-board automatic diagnostic system;

[0069] Step S530: Obtain a chassis test report of the vehicle to be detected based on the chassis diagnosis data.

[0070] Specifically, first, a suitable sampling frequency, i.e., a first preset frequency, is determined for regularly obtaining working condition information from the vehicle and the chassis test equipment. This frequency should be high enough to accurately capture the dynamic changes of the vehicle under different working conditions, but also take into account the data processing and storage capabilities. According to the set first preset frequency, working condition information is regularly collected from vehicle sensors, chassis test equipment and other related systems. These working condition information may include vehicle speed, acceleration, braking force, steering angle, suspension system status, wheel speed, engine speed, etc. The working condition information obtained by each sampling is recorded and time-stamped for subsequent data processing and analysis. The working condition information obtained by multiple samplings is integrated to form a complete data set. This data set contains detailed performance of the vehicle under different working conditions. The integrated data is analyzed using the data processing capabilities of the on-board diagnostic system (OBD system). The OBD system can identify and extract data directly related to chassis performance, such as suspension system response speed, braking system efficiency, steering system stability, etc. Based on the analyzed data, chassis diagnosis data is generated. These data may include performance indicators, abnormal states, potential faults, etc. of the chassis systems.

[0071] Then, the chassis diagnosis data is evaluated to determine whether the performance of the vehicle chassis meets the preset standards or requirements. This may include comparing with the standard values provided by the manufacturer, industry standards or regulatory requirements. According to the results of data evaluation, a chassis test report is written. The report should include the purpose of the test, the test method, the test conditions, the test data, the evaluation results and possible improvement suggestions, etc. The evaluation results should clearly indicate whether the performance of the vehicle chassis meets the standards, and any problems or potential risks.

[0072] In this embodiment, through multiple samplings (according to the first preset frequency), more working condition information about the vehicle at different time points can be captured, thereby avoiding the randomness and errors that may be caused by single sampling. Comprehensive analysis of multiple working condition information can more comprehensively reflect the working state of the vehicle chassis system under the preset vehicle speed, improving the accuracy and reliability of the test data.

[0073] Further, based on the above embodiment, please refer to Figure 6 In one of the example embodiments provided in the present application, the specific implementation process of the above vehicle detection method can further include steps S610 to S630, which are described in detail as follows:

[0074] Step S610, establish a connection between the vehicle to be detected and the charging detection equipment;

[0075] Step S620, perform electrical safety detection on the vehicle to be detected based on the charging detection equipment;

[0076] Step S630, acquiring state data of the battery of the vehicle to be detected in the electrical safety detection process, the state data including at least one of potential, capacity, voltage and temperature.

[0077] Specifically, after the appearance detection of the vehicle is completed, the battery of the vehicle can be subjected to AC / DC electrical detection and electrical safety detection through the charging device. For example, the charging detection device can be used to collect relevant data of the vehicle, including the highest temperature of the power battery, the highest voltage of the single battery, the voltage difference of the single battery, the total voltage value of the BMS, the insulation resistance of the DC charging socket, the potential balance between the shell and the electrical platform, the insulation resistance of the AC charging socket, the potential balance between the shells, and the like.

[0078] For example, it is ensured that the charging detection device is correctly installed and in working condition, and it is checked whether the power supply, communication interface (such as CAN bus, Bluetooth, Wi-Fi, etc.) and necessary sensors (such as current sensor, voltage sensor, temperature sensor) are intact. It is checked whether the vehicle is parked in a suitable position for charging, and it is confirmed that the vehicle power supply is turned off, but the vehicle electrical system (such as 12V battery) should be in a detectable state. The charging cable is used to connect the charging interface of the charging detection device with the charging interface of the vehicle. For different vehicle models, different specifications of charging cables or adapters may be required. In some cases, communication connection may be required through the OBD-II interface or special communication port of the vehicle, and in this case, the corresponding data line should be connected. The electrical safety detection program on the charging detection device is started. The program usually includes insulation resistance detection, ground continuity detection, overcurrent protection detection, etc. During the electrical safety detection process or after the detection is completed, the battery state data acquisition program is started. Through the sensors on the charging detection device or communication with the OBD-II interface of the vehicle, the state data such as potential, capacity, voltage and temperature of the battery are collected in real time.

[0079] In this embodiment, the state data of the battery is acquired in real time during the electrical safety detection process, which can immediately reflect the working state and performance of the battery. This real-time nature ensures the accuracy of the detection results, helps to discover and solve problems in a timely manner, and the acquired battery state data is an important basis for maintenance and repair. Further, based on these data, maintenance personnel can determine whether the battery needs to be replaced, whether the charging system needs to be adjusted, and the like, so as to formulate a scientific and reasonable maintenance plan.

[0080] Further, based on the above embodiment, please refer to Figure 7 In one of the example embodiments provided in the present application, the specific implementation process of the vehicle detection method can further include steps S710 and S720, which are described in detail as follows:

[0081] Step S710, converting the state data into corresponding identification codes based on the mapping relationship between the state data and the identification codes, the identification codes including service identification codes and service identification codes;

[0082] Step S720, generating a CAN message based on the service identification codes and the service identification codes, to determine the electrical safety detection result corresponding to the to-be-detected vehicle based on the CAN message.

[0083] Specifically, the state data can be converted into corresponding identification codes according to the mapping relationship between the state data and the identification codes. In the New Energy Vehicle Operation Safety Performance Inspection Regulations, the specific content of SID (Service Identifier) and PID (Parameter Identifier) is usually not directly listed all possible CAN (Controller Area Network) message contents and their SID and PID combinations. This is because the content of the CAN message is highly dependent on the specific vehicle manufacturer, vehicle model, and communication protocol used.

[0084] Among them, SID (Service Identifier) SID is used to identify specific service requests or commands in vehicle communication, especially in diagnostic communication. It is a code used to identify different diagnostic services, usually used in vehicle diagnostic communication protocols such as UDS (Unified Diagnostic Services) and OBD-II (On-Board Diagnostics) systems. Each SID corresponds to a specific service function, such as reading data, clearing fault codes, executing specific control commands, etc. When technicians use diagnostic tools to communicate with the vehicle's ECU (Electronic Control Unit), they will send requests with specific SIDs to obtain the required information or perform specific operations. PID (Parameter Identifier) PID is used to identify specific data or parameters that can be accessed and transmitted through network communication protocols. In the automotive field, PID is commonly used in OBD systems to represent various sensor data, fault codes, and vehicle status information. For example, in the OBD-II protocol, PID is used to represent the code for engine speed, vehicle speed, coolant temperature, and other vehicle status information. Through appropriate diagnostic tools or equipment, technicians can query specific PIDs to obtain data related to vehicle operating status or faults, which is very important for fault diagnosis and maintenance.

[0085] Exemplarily, in this process, various state data of the vehicle (such as battery voltage, motor temperature, brake system state, etc.) are mapped to corresponding identification codes. These identification codes include service identification codes (SIDs) and parameter identification codes (PIDs). The SID is used to identify a specific service or request type, while the PID is used to identify specific parameters or data under that service or request. The ECU (Electronic Control Unit) or diagnostic system of the vehicle will convert the real-time collected state data into corresponding SIDs and PIDs according to the preset mapping relationship. In this way, each state data point has a unique SID and PID corresponding to it, facilitating transmission and identification in the CAN network. Once the state data is converted into SIDs and PIDs, they are packaged into one or more CAN messages. CAN messages are a standardized data frame used to transmit information on the CAN network within the vehicle. Each CAN message contains an identifier (ID, which can be considered as a combination of SID and PID or using SID alone, depending on the protocol design), data length, and data field.

[0086] The receiving end (such as a diagnostic tool, vehicle dashboard, or central control unit) will analyze the received CAN message and identify the specific state data according to the SID and PID in it. Then, these state data will be used to assess the electrical safety performance of the vehicle. For example, if the battery voltage is below the safety threshold or the brake system state is abnormal, the system will issue a warning or take appropriate safety measures.

[0087] In this embodiment, by establishing a mapping relationship between state data and identification codes, data standardization and unification are achieved. This standardization process facilitates data exchange and sharing between different systems or devices, improving data readability and maintainability. Further, through CAN message transmission, information can be quickly transmitted within the vehicle internal network. Converting state data into identification codes and generating CAN messages can significantly reduce data transmission redundancy and delay, improving data transmission efficiency and real-time performance.

[0088] Further, based on the above embodiment, please refer to Figure 8 In one of the exemplary embodiments provided in the present application, the specific implementation process of the above vehicle detection method can further include steps S810 and S820, which are described in detail as follows:

[0089] Step S810: collecting CAN messages at a second preset frequency within a preset period, the second preset frequency being lower than the first preset frequency;

[0090] Step S820: determining the electrical safety detection result corresponding to the vehicle to be detected based on the state data corresponding to the plurality of CAN messages collected within the preset period.

[0091] In some implementable embodiments, one diagnostic CAN message can only read one item of data, so it is necessary to periodically issue diagnostic messages to read corresponding data. Therefore, the diagnostic messages can be issued at a second preset frequency to read the corresponding CAN messages through the issued diagnostic messages. Since the real-time requirement for vehicle speed detection is relatively high, the first preset frequency for collecting vehicle speed is higher than the second preset frequency for collecting electrical state data. For example, since one diagnostic message can only read one item of data, it is necessary to periodically issue diagnostic messages to read corresponding data, and the interval time of the issued diagnostic messages is 200 ms. In addition, the real-time requirement for vehicle speed is relatively high, so the message interval time for obtaining vehicle speed is set to 50 ms. After receiving the diagnostic message, the vehicle end ECU replies with data, and the data is forwarded to the PAD end through the OBD device. After receiving the data, the PAD decodes it into data with actual meaning. Finally, the data is reported to the server.

[0092] For example, in the diagnostic system of a vehicle, the CAN (Controller Area Network) bus is widely used for communication between various control units (ECUs, Electronic Control Units) within the vehicle. Since a single diagnostic CAN message can usually only carry a limited amount of information, i.e., it can only read one specific item of data, in order to comprehensively monitor and diagnose the vehicle state, multiple different diagnostic request messages need to be sent periodically, and the responses to these messages need to be received and processed accordingly. The control units (ECUs) of the vehicle will respond to these diagnostic requests and send CAN messages containing the required data. The system needs to collect these response messages at a lower second preset frequency within a preset period (e.g., several seconds or minutes). Although the second preset frequency is lower than the first preset frequency, it is still sufficient to capture important state changes. The multiple CAN messages collected within the preset period contain state data of different systems and components of the vehicle. These data need to be parsed, integrated, and compared to form a comprehensive assessment of the electrical safety state of the vehicle. Based on the results of the above data processing, the system can generate electrical safety detection results. These results may include but are not limited to: whether a certain system is operating normally, whether there is a potential fault, whether maintenance or repair is needed, etc.

[0093] In this embodiment, by collecting multiple CAN messages within a preset period, state data of the vehicle electrical system at multiple time points can be obtained. Comprehensive analysis of these data points can more comprehensively reflect the overall operating condition of the electrical system, and potential safety hazards can be discovered and handled in a timely manner, reducing the risk of vehicle accidents caused by electrical faults.

[0094] Figure 9is a brief flow diagram of vehicle detection in an exemplary application scenario. In the application scenario shown in 9, identity information corresponding to the vehicle to be detected is obtained, and after determining the vehicle information corresponding to the vehicle to be detected, the appearance of the vehicle is detected, the battery state of the garage is detected through the charging detection device, and the electrical safety of the garage is detected, and then the chassis related parameters corresponding to the vehicle are determined based on the identity; the operating parameters of the chassis test equipment are adjusted based on the chassis related parameters to obtain the adjusted chassis test equipment; the communication connection between the adjusted chassis test equipment and the on-board automatic diagnosis system is established. The chassis test data of the vehicle reported by the on-board automatic diagnosis system is received through the communication connection, and the detection report of the vehicle is generated based on the chassis test data, the electrical safety detection, the appearance data and the identity. For detailed implementation process, please refer to the description in the foregoing embodiments, which will not be repeated here.

[0095] Figure 10 is a block diagram of a vehicle detection device according to an exemplary embodiment of the present application. The device can be applied to Figure 1 the implementation environment shown in 10, and is specifically configured in the server 120. The device can also be applied to other exemplary implementation environments, and is specifically configured in other devices, and the implementation environment to which the device is applied is not limited in the present embodiment.

[0096] As shown in Figure 10 , the exemplary vehicle detection device 1000 includes: an acquisition module 1010, configured to obtain identity information corresponding to a vehicle to be detected, and determine vehicle information corresponding to the vehicle to be detected based on the identity information; a judgment module 1020, configured to obtain a battery state of the vehicle to be detected if the vehicle information is authenticated and the appearance data collection of the vehicle to be detected is completed; a detection module 1030, configured to complete electrical safety detection of the vehicle to be detected based on the battery state, and establish a communication connection with an on-board automatic diagnosis system of the vehicle to be detected; and a generation module 1040, configured to receive chassis test data of the vehicle reported by the on-board automatic diagnosis system through the communication connection, and generate a detection report of the vehicle to be detected based on the chassis test data, the electrical safety detection, the appearance data and the identity.

[0097] According to an aspect of an embodiment of the present application, the detection module 1030 is further configured to determine chassis related parameters corresponding to the vehicle to be detected based on the identity; adjust the operating parameters of the chassis test equipment based on the chassis related parameters to obtain the adjusted chassis test equipment; and establish the communication connection between the adjusted chassis test equipment and the on-board automatic diagnosis system.

[0098] According to an aspect of the embodiments of the present application, the vehicle detection device further comprises a control module configured to fix the adjusted chassis test equipment to the vehicle to be detected and control the vehicle to be detected to run at a preset vehicle speed; and a working condition acquisition module configured to acquire working condition information corresponding to the vehicle to be detected at the preset vehicle speed, so as to obtain chassis test data of the vehicle to be detected based on the working condition information through an on-board automatic diagnosis system.

[0099] According to an aspect of the embodiments of the present application, the working condition acquisition module is further configured to acquire multiple pieces of working condition information corresponding to the vehicle to be detected at the preset vehicle speed at a first preset frequency; generate chassis diagnosis data of the vehicle to be detected based on the multiple pieces of working condition information through the on-board automatic diagnosis system; and obtain a chassis test report of the vehicle to be detected based on the chassis diagnosis data.

[0100] According to an aspect of the embodiments of the present application, the detection module 1030 is further configured to establish a connection between the vehicle to be detected and the charging detection equipment; perform electrical safety detection on the vehicle to be detected based on the charging detection equipment; and acquire state data of a storage battery of the vehicle to be detected during the electrical safety detection, the state data comprising at least one of a potential, a capacity, a voltage and a temperature.

[0101] According to an aspect of the embodiments of the present application, the vehicle detection device further comprises a conversion module configured to convert the state data into corresponding identification codes based on a mapping relationship between the state data and the identification codes, the identification codes comprising a service identification code and a service identification code; and a message module configured to generate a CAN message based on the service identification code and the service identification code, so as to determine an electrical safety detection result corresponding to the vehicle to be detected based on the CAN message.

[0102] According to an aspect of the embodiments of the present application, the vehicle detection device further comprises an acquisition module configured to acquire the CAN message at a second preset frequency within a preset period, the second preset frequency being lower than the first preset frequency; and a determination module configured to determine the electrical safety detection result corresponding to the vehicle to be detected based on state data corresponding to multiple CAN messages acquired within the preset period.

[0103] It should be noted that the vehicle detection device provided in the above embodiments and the vehicle detection method provided in the above embodiments belong to the same concept, wherein the specific manner in which each module and unit performs operations has been described in detail in the method embodiments, which will not be described here. In actual application, the above functions can be distributed to different functional modules to complete all or part of the functions described above, and this is not limited herein.

[0104] Embodiments of the present application also provide an electronic device, comprising: one or more processors; a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the vehicle detection method provided in each of the above embodiments.

[0105] Figure 11 A structural diagram of a computer system of an electronic device suitable for implementing embodiments of the present application is shown. It should be noted that, Figure 11 The computer system 1100 of the electronic device shown is only an example and should not impose any limitation on the functions and use range of embodiments of the present application.

[0106] As Figure 11 shown, the computer system 1100 includes a central processing unit (CPU) 1101, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 1102 or programs loaded from a storage portion 1108 into a random access memory (RAM) 1103, such as performing the methods in the above embodiments. Various programs and data required for system operation are also stored in the RAM 1103. The CPU 1101, the ROM 1102, and the RAM 1103 are connected to each other through a bus 1104. An input / output (I / O) interface 1105 is also connected to the bus 1104.

[0107] The following components are connected to the I / O interface 1105: an input portion 1106 including a keyboard, a mouse, and the like; an output portion 1107 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage portion 1108 including a hard disk, and the like; and a communication portion 1109 including a network interface card such as a LAN (Local Area Network) card, a modem, and the like. The communication portion 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the I / O interface 1105 as necessary. A removable recording medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is attached to the drive 1110 as necessary, so that a computer program read therefrom is installed in the storage portion 1108 as necessary.

[0108] In particular, according to embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing computer programs for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication section 1109, and / or installed from the detachable medium 1111. When the computer program is executed by the central processing unit (CPU) 1101, various functions defined in the system of the present application are executed.

[0109] It should be noted that the computer readable medium shown in the embodiments of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable signal medium can include a data signal propagating in a baseband or as part of a carrier wave, in which the computer readable computer program is carried. Such a propagated data signal can take on many forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium other than the computer readable storage medium that can send, propagate, or transfer the program for use by or in connection with the instruction execution system, apparatus, or device. The computer program contained on the computer readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, or the like, or any suitable combination of the above.

[0110] The flowcharts and block diagrams in the attached drawings illustrate the possible implementation architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In the flowcharts or block diagrams, each block can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logic function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in a different order than that noted in the attached drawings. For example, two blocks that are shown in succession can actually be executed substantially concurrently or in reverse order, depending on the functions involved. It should also be noted that each block in the flowcharts or block diagrams, and the combination of blocks in the flowcharts or block diagrams, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0111] The units described in the embodiments of the present application can be implemented in the form of software, or can be implemented in the form of hardware, and the described units can also be arranged in a processor. In some cases, the names of the units do not constitute a limitation on the units themselves.

[0112] Another aspect of the present application also provides a computer readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the vehicle detection method as described above. The computer readable storage medium can be included in the electronic device described in the above embodiments, or can exist separately and not be assembled into the electronic device.

[0113] Another aspect of the present application also provides a computer program product or computer program, which includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes the vehicle detection method provided in each of the above embodiments.

[0114] The above description is only the preferred exemplary embodiments of the present application, and is not intended to limit the implementation of the present application. Those skilled in the art can easily make corresponding modifications or changes according to the main idea and spirit of the present application, and therefore the protection scope of the present application should be subject to the protection scope required by the claims.

Claims

1. A vehicle inspection method, characterized in that, include: Obtain the identification information corresponding to the vehicle to be inspected, and determine the vehicle information corresponding to the vehicle to be inspected based on the identification information; If the vehicle information authentication is successful and the appearance data of the vehicle to be tested is collected, then the battery status of the vehicle to be tested is obtained. Based on the battery status, complete the electrical safety test of the vehicle under test, and establish a communication connection with the vehicle's on-board automatic diagnostic system. The system receives chassis test data of the vehicle reported by the on-board automatic diagnostic system through the communication connection, and generates a test report of the vehicle to be tested based on the chassis test data, the electrical safety test, the appearance data and the identification. Based on the identity identifier, determine the chassis-related parameters corresponding to the vehicle to be tested; Based on the aforementioned chassis-related parameters, the operating parameters of the chassis testing equipment are adjusted to obtain the adjusted chassis testing equipment. Establish a communication connection between the adjusted chassis testing equipment and the on-board automatic diagnostic system; Establish a connection between the vehicle to be tested and the charging testing equipment; The electrical safety of the vehicle under test is performed based on the charging testing equipment. During the electrical safety inspection, the status data of the battery of the vehicle under test is acquired, and the status data includes at least one of potential, capacity, voltage and temperature.

2. The method as described in claim 1, characterized in that, After establishing the communication connection between the adjusted chassis testing equipment and the on-board automatic diagnostic system, the method further includes: The adjusted chassis testing equipment is fixed to the vehicle to be tested, and the vehicle to be tested is controlled to run at a preset speed. The system acquires the operating condition information of the vehicle under test at the preset vehicle speed, and then uses the on-board automatic diagnostic system to obtain chassis test data of the vehicle under test based on the operating condition information.

3. The method as described in claim 2, characterized in that, The method further includes: According to the first preset frequency, acquire multiple operating condition information of the vehicle to be tested at the preset vehicle speed. The on-board automatic diagnostic system generates chassis diagnostic data for the vehicle under test based on the multiple operating condition information. A chassis test report for the vehicle under test is obtained based on the chassis diagnostic data.

4. The method as described in claim 3, characterized in that, The method further includes: Based on the mapping relationship between status data and identification codes, the status data is converted into corresponding identification codes, and the identification codes include service identification codes and service identification codes. A CAN message is generated based on the service identifier code, and the electrical safety test result corresponding to the vehicle under test is determined based on the CAN message.

5. The method as described in claim 4, characterized in that, The method further includes: The CAN message is collected at a second preset frequency within a preset period, where the second preset frequency is lower than the first preset frequency. The electrical safety test result of the vehicle under test is determined based on the status data corresponding to multiple CAN messages collected within the preset period.

6. A vehicle detection device, characterized in that, The device includes: The acquisition module is used to acquire the identification information corresponding to the vehicle to be detected, and determine the vehicle information corresponding to the vehicle to be detected based on the identification information. The judgment module is used to obtain the battery status of the vehicle under test if the vehicle information authentication is successful and the appearance data of the vehicle under test is collected. The detection module is used to perform electrical safety testing on the vehicle under test based on the battery status, and establish a communication connection with the vehicle's on-board automatic diagnostic system; determine the chassis-related parameters corresponding to the vehicle under test based on the identification; adjust the operating parameters of the chassis testing equipment based on the chassis-related parameters to obtain the adjusted chassis testing equipment; establish a communication connection between the adjusted chassis testing equipment and the on-board automatic diagnostic system; establish a connection between the vehicle under test and the charging detection equipment; perform electrical safety testing on the vehicle under test based on the charging detection equipment; and acquire the battery status data of the vehicle under test during the electrical safety testing process, the status data including at least one of potential, capacity, voltage, and temperature. The generation module is used to receive chassis test data of the vehicle reported by the on-board automatic diagnostic system through the communication connection, and generate a test report of the vehicle to be tested based on the chassis test data, the electrical safety test, the appearance data and the identification.

7. An electronic device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the vehicle detection method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, It stores computer-readable instructions that, when executed by the computer's processor, cause the computer to perform the vehicle detection method according to any one of claims 1 to 5.

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