Vehicle reinforced road test detection method and device and electronic equipment

Abstract

The invention provides a vehicle reinforced road test detection method and device and electronic equipment, and relates to the technical field of automobile manufacturing quality control and test. The cloud platform automatically schedules the test according to the preset logic, analyzes the vehicle data in real time based on the rule and feeds back the result in time, and firstly converts a detection mode depending on artificial subjective experience or postmortem analysis into an objective and automatic real-time judgment process, so that the detection standard is unified, and the subjectivity is reduced. And secondly, by means of a real-time data closed loop formed by the vehicle end, the cloud end and the factory network, instantaneous linkage of'instruction-acquisition-analysis-feedback 'is realized, and the defects of feedback lag and incapability of real-time intervention are fundamentally overcome. And finally, the test mileage is monitored and tested in a unified manner through the cloud, and a report is automatically generated, so that standardized management and control of the whole process are realized, the detection efficiency and consistency are remarkably improved, and a complete structured data basis is provided for quality tracing.

Description

Technical Field

[0001] This invention relates to the field of automotive manufacturing quality control and testing technology, and in particular to a method, apparatus and electronic equipment for enhanced road testing of vehicles. Background Technology

[0002] In the existing automotive manufacturing quality control system, pure electric vehicles must undergo rigorous end-of-life (EOL) testing after final assembly. Among these tests, enhanced road testing is a crucial dynamic testing phase that simulates extreme driving conditions and exposes potential faults. Currently, the mainstream enhanced road testing technologies in the industry mainly rely on the following two modes: Human experience-driven testing: Test drivers judge the vehicle's condition based on subjective senses (hearing, touch, and sight) and experience, and manually record problems. This method is highly subjective, difficult to standardize, and cannot quantify interactive functions such as voice control and screen touch control.

[0003] Post-data recording and analysis-based testing: This method involves installing a data logger on the vehicle to collect network signals such as the CAN bus, and then exporting the data for offline analysis after the test. However, this method suffers from poor real-time performance, delayed problem feedback, and an inability to provide immediate diagnosis and intervention during the testing process. Furthermore, the depth and breadth of its detection coverage are limited.

[0004] The aforementioned existing technologies all suffer from problems such as reliance on manual testing processes and a lack of automated real-time judgment and closed-loop feedback mechanisms, resulting in low testing efficiency and poor consistency, making it difficult to meet the high-quality, high-efficiency road test requirements of modern intelligent electric vehicles. In particular, their real-time monitoring capabilities for critical items such as high-voltage system safety are weak, posing quality and safety risks. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device, and electronic equipment for enhanced vehicle road testing. By automatically scheduling tests according to preset logic via a cloud platform, analyzing vehicle data in real time based on rules, and providing immediate feedback, it first transforms the testing mode, which relies on subjective human experience or post-event analysis, into an objective, automated, real-time judgment process, thereby unifying testing standards and reducing subjectivity. Secondly, relying on a real-time data closed loop formed by the vehicle, cloud, and factory network, it achieves instantaneous linkage of "command-collection-analysis-feedback," fundamentally overcoming the shortcomings of delayed feedback and inability to intervene in real time. Finally, by uniformly monitoring test mileage and automatically generating reports through the cloud, it achieves standardized management and control of the entire process, significantly improving testing efficiency and consistency, and providing a complete structured data foundation for quality traceability.

[0006] In a first aspect, the present invention provides a method for enhanced road testing of vehicles, applied to an end-to-cloud collaborative testing system after a vehicle rolls off the production line. The system includes: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicates with the cloud service platform via the factory network; the method includes: The cloud service platform sends test instructions to the vehicle system according to the preset test logic and receives vehicle status data fed back by the vehicle system. The cloud service platform analyzes vehicle status data in real time based on preset judgment rules, generates test judgment results, and feeds them back to the vehicle system. When the cloud service platform determines that the cumulative mileage of the test vehicle has reached the preset target mileage value, it generates a test completion instruction and sends it back to the vehicle system, as well as generates a final test report.

[0007] In some preferred embodiments of the present invention, the vehicle-side system includes: an on-board data acquisition unit; the data acquisition unit is connected to the diagnostic interface of the test vehicle for accessing the vehicle bus network; the step of the vehicle-side system feeding back vehicle status data includes: All raw messages on the vehicle bus network are monitored and collected using a data acquisition device; Add timestamps and vehicle identification information to the original message to form a data frame and upload it to the cloud service platform in real time via a preset transmission control protocol and / or Internet interconnection protocol in a streaming mode; the message data is formed into a data frame in binary log file format and uploaded, and in the event of network transmission failure, local caching is executed and the breakpoint resume process is started.

[0008] In some preferred embodiments of the present invention, the breakpoint resume process includes: Each transmitted data frame is assigned a sequence number arranged according to a preset rule, and the transmission status of the data frame is maintained through a preset confirmation mechanism based on the confirmation character from the cloud service platform. When a network interruption is detected, newly acquired data frames are continuously cached locally, and attempts are made to re-establish the connection. After the network is restored, a handshake is performed with the cloud service platform to determine the last successfully received sequence number, and uploading continues from the next data frame after the last successfully received sequence number.

[0009] In some preferred embodiments of the present invention, the steps of the cloud service platform issuing test instructions to the vehicle-side system according to preset test logic and receiving vehicle status data fed back by the vehicle-side system include: The cloud service platform sends operation instructions to the interactive interface of the terminal detection application installed on the test vehicle according to the preset test sequence. The driver can wake up the voice assistant and issue voice commands according to the guidance of the interactive interface, or operate the physical buttons and / or knobs in the vehicle; The electronic control unit of the test vehicle generates a status message in response to the driver's operation and uploads the status message to the cloud service platform through the vehicle system.

[0010] In some preferred embodiments of the present invention, the determination rules include: event-triggered determination rules and continuous monitoring rules; For tests based on event-triggered judgment rules, the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, including: after the cloud service platform issues test instructions and starts the timing window, it monitors whether the relevant vehicle signals reach and maintain the expected state within the preset window period. For monitoring projects based on continuous monitoring rules, the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, including: continuously sampling and comparing the target signal of the test vehicle, and generating alarm information if the value of the target signal exceeds the preset safety threshold.

[0011] In some preferred embodiments of the present invention, the continuous monitoring rules include: high-voltage system monitoring rules; the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, including: Continuously receive and analyze voltage values ​​that reflect the total voltage of the battery pack; When the voltage value is detected to drop below the preset normal range to below the safety threshold within a continuously preset time period, an alarm indicating a high-voltage system fault is generated and sent to the vehicle-side system.

[0012] In some preferred embodiments of the present invention, the factory network includes: a WiFi network and / or a 5G network.

[0013] In some preferred embodiments of the present invention, the vehicle-side system includes: a data acquisition device with edge computing capabilities; the method includes: The edge computing capabilities of the data acquisition device are used to perform real-time analysis of vehicle status data and generate test judgment results.

[0014] Secondly, this invention provides a vehicle enhanced road test detection device, applied to an end-to-cloud collaborative detection system after a vehicle rolls off the production line. The system includes: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicates with the cloud service platform via the factory network; the device includes: The test preparation module is used by the cloud service platform to send test instructions to the vehicle system according to the preset test logic and to receive vehicle status data fed back by the vehicle system. The data analysis module is used by the cloud service platform to perform real-time analysis of vehicle status data based on preset judgment rules, generate test judgment results, and feed them back to the vehicle system. The test report processing module is used to generate a test completion instruction and send it back to the vehicle system when the cloud service platform determines that the cumulative mileage of the test vehicle has reached the preset target mileage value, as well as to generate the final test report.

[0015] Thirdly, the present invention provides an electronic device including a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the vehicle enhanced road test detection method provided in the first aspect above.

[0016] This invention brings the following beneficial effects: This invention provides a method, apparatus, and electronic device for enhanced vehicle road testing, applied to an end-to-cloud collaborative testing system after vehicles roll off the production line. The system includes: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicates with the cloud service platform via the factory network; the method includes: the cloud service platform issuing test instructions to the vehicle-side system according to preset test logic and receiving vehicle status data from the vehicle-side system; the cloud service platform performing real-time analysis of the vehicle status data based on preset judgment rules, generating test judgment results and feeding them back to the vehicle-side system; when the cloud service platform determines that the cumulative mileage of the test vehicle has reached a preset target mileage value, generating a test completion instruction and feeding it back to the vehicle-side system, and generating a final test report; by having the cloud platform automatically schedule tests according to preset logic, analyze vehicle data in real time based on rules, and provide immediate feedback results, the testing mode that relies on subjective human experience or post-analysis is transformed into an objective and automated real-time judgment process, thereby unifying testing standards and reducing subjectivity. Secondly, relying on the real-time data closed loop formed by the vehicle-side, cloud-based, and factory network, instantaneous linkage of "command-collection-analysis-feedback" is achieved, fundamentally overcoming the shortcomings of delayed feedback and inability to intervene in real time. Finally, by uniformly monitoring test mileage and automatically generating reports through the cloud, standardized management and control of the entire process are achieved, significantly improving testing efficiency and consistency, and providing a complete structured data foundation for quality traceability. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of an edge-cloud collaborative detection system architecture provided by an embodiment of the present invention; Figure 2A flowchart of a vehicle enhanced road test method provided in an embodiment of the present invention; Figure 3 This invention provides an overall flowchart for enhanced EOL intelligent detection in road tests. Figure 4 This is a schematic diagram of the structure of a vehicle enhanced road test detection device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0019] Icons: 310 - Test preparation module; 320 - Data analysis module; 330 - Test report processing module; 400 - Memory; 401 - Processor; 402 - Bus; 403 - Communication interface. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0022] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0023] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this invention is in use. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention. In addition, the terms "first," "second," "third," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0024] Furthermore, terms such as "horizontal," "vertical," and "sag" do not imply that components must be absolutely horizontal or suspended, but rather that they can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal relative to "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0025] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0026] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0027] Example 1 This invention provides a method for enhanced road testing of vehicles, applied to an edge-cloud collaborative testing system after a vehicle rolls off the production line. (See also...) Figure 1 The diagram shown is a schematic of an end-to-cloud collaborative detection system architecture provided by an embodiment of the present invention. The core of the system consists of three parts: a vehicle-side system, a cloud service platform, and a factory network. The vehicle-side system communicates with the cloud service platform through the factory network.

[0028] Specifically, the vehicle-side system mainly refers to the vehicle controller and bus network, data acquisition device, in-vehicle central control screen, and EOLAPP installed on the test vehicle; the cloud service platform is deployed in a remote server cluster, including a data receiving and parsing cluster, test logic and judgment engine, instruction scheduling and issuance module, result management, storage and report generation module, and system configuration and management portal, serving as the "intelligent brain" for data analysis, logical judgment, and process management; the factory network acts as a communication bridge connecting the vehicle-side and the cloud, ensuring real-time and stable transmission of data and instructions throughout the entire testing process. This architecture aims to transform the traditional testing mode, which relies on manual experience or offline analysis, into automated, real-time, and objective online intelligent testing. By constructing a clear end-to-cloud collaborative architecture, a stable system foundation is provided for all subsequent automated testing steps, achieving a fundamental shift in testing capabilities from "local, manual, offline" to "cloud, automated, and real-time."

[0029] Furthermore, in some preferred embodiments of the present invention, the factory network includes: a WiFi network and / or a 5G network.

[0030] Specifically, the factory network serves as an "information superhighway" for real-time edge-cloud interaction. A high-speed factory WiFi network with seamless full coverage provides high-bandwidth, low-latency communication guarantees for data uploading and command issuance. In areas where WiFi signals may be weak or interfered with, 5G cellular networks can be used as a supplementary or primary data transmission channel, leveraging their high bandwidth, low latency, and wide coverage to ensure continuous data transmission. The reliability of the network infrastructure is a crucial prerequisite for ensuring the smooth operation of the entire intelligent testing process. The use of a highly reliable, wide-coverage factory network (WiFi / 5G) ensures continuous, stable, and low-latency transmission of massive amounts of vehicle data and cloud commands during testing, providing a solid communication guarantee for real-time analysis and closed-loop feedback, overcoming the drawbacks of data link breaks in traditional offline modes.

[0031] See Figure 2 The flowchart shown in this embodiment of the invention provides a method for enhanced road testing of vehicles, the method comprising: In step S102, the cloud service platform sends test instructions to the vehicle system according to the preset test logic and receives vehicle status data fed back by the vehicle system.

[0032] For details, see Figure 3 The illustrated embodiment of the present invention provides an overall flowchart for enhanced road test EOL intelligent testing. The vehicle completes electrical testing and software rewriting at the CP7 station. The data acquisition device is securely connected to the vehicle's OBD interface, and the EOL APP is installed and launched on the central control screen. The vehicle successfully connects to the factory's WiFi, and the data acquisition device and EOL APP establish secure connections with the cloud service. The system performs a self-test and reports a "ready" status. Subsequently, the driver drives the vehicle onto the enhanced road test track and begins accelerating to the target speed range. The data acquisition device begins to collect all vehicle bus messages and continuously uploads them to the cloud via streaming. Based on predefined test logic and sequences covering a full range of testing items including high-voltage systems, voice interaction, and hard button functions, the cloud service platform proactively initiates a testing process for the designated vehicle's on-board system. This marks the beginning of an automated test driven by cloud intelligence, replacing the traditional mode where test drivers manually trigger test items based on memory or paper lists. The unified and automated scheduling of the testing process via the cloud ensures the standardization and completeness of the testing projects, avoids omissions or sequence errors that may occur due to manual operation, and lays the foundation for the standardization and traceability of the entire testing process.

[0033] Furthermore, in some preferred embodiments of the present invention, the vehicle-side system includes: an on-board data acquisition unit; the data acquisition unit is connected to the diagnostic interface of the test vehicle for accessing the vehicle bus network; the step of the vehicle-side system feeding back vehicle status data includes: listening to and acquiring all raw messages on the vehicle bus network through the data acquisition unit; adding timestamps and vehicle identification information to the raw messages to form data frames and uploading them to the cloud service platform in real time via a preset transmission control protocol and / or Internet interconnection protocol in a streaming transmission mode; wherein the message data is formed into data frames in binary log file format and uploaded, and when the network transmission is abnormal, local caching is performed and the breakpoint resume process is started.

[0034] Specifically, the data acquisition unit is the core data sensing unit of the vehicle-side system. (See also...) Figure 1 The diagram shows the vehicle-side system, which represents its connection to the vehicle and the cloud. As a dedicated industrial-grade hardware unit, it is physically connected to the vehicle's diagnostic interface before the vehicle enters dynamic testing (e.g., at the CP7 workstation), enabling it to actively listen to and collect all raw messages on the vehicle's bus network. Each collected message is appended with a high-precision timestamp and the vehicle's VIN code, forming a data frame with contextual information. These data frames are formatted as "BLF" files, named in the format "xxxx year xx month xx day - xx hour xx minute xx second," and uploaded to the cloud service platform in real-time via TCP / IP protocol using streaming transmission. Each file size does not exceed 220MB; files exceeding 220MB are regenerated. To address potential fluctuations in the factory network, the data acquisition unit features a data caching function. Its hardware includes industrial-grade embedded storage devices such as eMMC or SSDs, with dedicated "transmission buffers" and "backup buffers" managed on the storage media. The backup buffer uses a circular write method (circular overwrite strategy). During network interruptions, data is temporarily stored locally and uploaded again via a breakpoint resume mechanism once the network is restored, ensuring the integrity and continuity of the data chain. (The data acquisition unit only collects all raw messages from the vehicle's bus network. Vehicle messages are formatted as "BLF" files and uploaded. The data acquisition unit only interacts with the cloud and not with the central control app.) This achieves full, real-time, and precisely time-stamped acquisition and uploading of vehicle status data, providing a complete data source for refined analysis in the cloud. The breakpoint resume mechanism effectively ensures no data loss in complex industrial environments, overcoming the shortcomings of traditional recorders' data export delays and susceptibility to interruptions, and is the data cornerstone for building a real-time detection closed loop.

[0035] Furthermore, in some preferred embodiments of the present invention, the data acquisition device may no longer exist as a separate peripheral device, but may be integrated into the vehicle's next-generation intelligent gateway or in-vehicle infotainment main control unit as a built-in function in factory mode. This helps simplify production line tooling, reduce external wiring harnesses, and improve system integration and reliability.

[0036] Furthermore, in some preferred embodiments of the present invention, the interrupted resume transmission process includes: assigning a sequence number to each transmitted data frame according to a preset rule, and maintaining the transmission status of the data frame through a preset confirmation mechanism based on the confirmation character from the cloud service platform; wherein, when a network interruption is detected, newly acquired data frames are continuously cached locally, and attempts are made to re-establish the connection; after the network is restored, a handshake is performed with the cloud service platform to determine the last successfully received sequence number, and the upload continues from the next data frame after the last successfully received sequence number.

[0037] Specifically, the data acquisition device communicates with the cloud server using the TCP protocol (based on reliable TCP / IP transmission). The data acquisition device assigns a globally monotonically increasing sequence number to each transmitted data frame. This sequence number is the core basis for resuming interrupted transmissions. During the upload process, the data acquisition device relies on the ACK confirmation mechanism from the cloud to confirm whether the data has been successfully delivered. The data acquisition device internally maintains an "upload state machine." When a network interruption is detected (e.g., determined by TCP connection heartbeat timeout or transmission timeout), the system immediately enters buffer mode, and new data is simultaneously written to both the transmission buffer and the backup buffer. After the network is restored, both parties perform a handshake synchronization: the data acquisition device sends a "resumption request" message to the cloud, carrying the last confirmed sequence number (Last_ACK_Number) stored locally; the cloud server replies with a "resumption confirmation" message, stating: "Please start sending from sequence number 1001." Upon receiving the confirmation, the data acquisition device immediately retrieves the data frame with sequence number 1001 from its local transmission buffer (or, if necessary, from the backup buffer) and begins resuming the upload. To prevent data corruption in extreme situations (such as a sudden power outage of the data acquisition instrument), the sequence number of each data frame is recorded in a separate "breakpoint file" when writing it to the backup buffer. Upon system restart, this file is read first to determine the sequence number of the last stably stored data frame, ensuring the accuracy of the resume transmission starting point (S5: Data Consistency Guarantee). This mechanism ensures that regardless of the duration of the interruption, the data stream can be precisely resumed from the breakpoint, achieving seamless transmission. Through a breakpoint resumption protocol based on sequence numbers and ACK confirmation, the integrity and continuity of test data are ensured in unreliable network environments. Even with network fluctuations, zero data loss and accurate transmission are achieved, greatly improving the robustness and reliability of the system in real-world industrial scenarios and guaranteeing uninterrupted testing records.

[0038] Furthermore, in some preferred embodiments of the present invention, the steps of the cloud service platform issuing test instructions to the vehicle-side system according to a preset test logic and receiving vehicle status data fed back by the vehicle-side system include: the cloud service platform sending operation instructions to the interactive interface of the terminal detection application installed on the test vehicle according to a preset test sequence; the driver waking up the voice assistant and issuing voice commands according to the guidance of the interactive interface, or operating the physical buttons and / or knobs in the vehicle; the electronic control unit of the test vehicle generating a status message in response to the driver's operation and uploading the status message to the cloud service platform through the vehicle-side system.

[0039] For details, please refer to [link / reference]. Figure 3 This part corresponds to Figure 3The test involves real-time cloud monitoring and test sequence execution, driver interaction and vehicle control, and vehicle system response and status reporting. The cloud platform begins operation. The test logic engine processes two types of tasks in parallel: 1. Continuous background monitoring; 2. Foreground test item execution. The instruction scheduling module sends test instructions to the EOLAPP according to a predetermined process. The EOLAPP updates its interface, guiding the driver to perform operations. The driver executes the corresponding test operations based on the EOLAPP prompts. This mainly includes two methods: 1. Voice control test: waking up the voice assistant and issuing precise commands, such as "adjust the air conditioning temperature to 23 degrees Celsius." 2. Physical button control test: directly operating physical buttons or knobs in the vehicle, such as adjusting the seat lumbar support or switching driving mode selection buttons. After receiving the instructions, the relevant vehicle ECUs drive the actuators (motors, dampers, relays, etc.) to operate. Simultaneously, these ECUs generate status messages reflecting the execution results and broadcast them via the vehicle network. For example, the air conditioning controller broadcasts signals such as "target temperature set to 23°C" and "current air outlet temperature is 24°C." These messages are captured and uploaded by the data acquisition device, thus completing the closed loop from "command issuance" to "vehicle response data feedback." Through clear guidance from the vehicle-mounted intelligent app, the complex testing process is standardized and simplified, reducing reliance on the test driver's experience and memory. Simultaneously, the precise correlation and real-time uploading of driver actions with the vehicle's ECU response data allows the cloud to accurately align "human actions" and "vehicle responses" on a timeline, creating conditions for subsequent automated judgment.

[0040] In some preferred embodiments of the present invention, the EOLAPP displays a list of all test items, and the driver can actively click the "Start Test" button for a specific item based on actual conditions (such as road conditions and vehicle status). The EOLAPP reports this event to the cloud, and the cloud then initiates the monitoring logic for that item. This mode provides greater operational flexibility.

[0041] In step S104, the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, generates test judgment results, and feeds them back to the vehicle system.

[0042] For details, please refer to [link / reference]. Figure 3 This step corresponds to Figure 3In the cloud intelligent judgment and decision-making process, it is the core judgment process of the system's "intelligent brain". The cloud data reception and analysis cluster converts the original message into physical signals with engineering significance, such as: VehicleSpeed (vehicle speed), BatteryPackVoltage (total battery pack voltage), FrontLeftWindowPosition (percentage of the left front window position), DriverSeatHorizontalPosition (front and rear position of the driver's seat), etc. The test logic engine calls the corresponding judgment rules for real-time comparison according to the currently active test items. For example, for the voice adjustment of the air conditioner temperature, after the engine issues the command, it monitors the "set temperature of the air conditioner" signal. If within the set time, the signal value becomes 23 and the "current working mode of the air conditioner" signal indicates "cooling / heating", it is judged as qualified. At the same time, it also checks whether there are relevant air conditioner system fault codes. This replaces the subjective judgment of test drivers and the offline data analysis of engineers. It realizes the complete automation, objectivity and real-time of detection and judgment. Through the powerful computing power of the cloud and the preset precise rules, it can instantly analyze a large amount of data and output standardized results at the millisecond level, completely eliminating the inconsistency and lag of manual judgment, which is the core to improve the detection quality and efficiency.

[0043] Furthermore, in some preferred embodiments of the present invention, the judgment rules include: event-triggered judgment rules and continuous monitoring rules; for tests based on event-triggered judgment rules, the cloud service platform performs real-time analysis on vehicle state data based on the preset judgment rules, including: after the cloud service platform issues a test command and starts a timing window, monitoring whether the relevant vehicle signals reach and maintain the expected state within the preset window period; for monitoring items based on continuous monitoring rules, the cloud service platform performs real-time analysis on vehicle state data based on the preset judgment rules, including: continuously sampling and comparing the target signals of the test vehicle, and if the value of the target signal exceeds the preset safety threshold, generating an alarm message.

[0044] Specifically, the cloud judgment rules are mainly divided into two major types to meet different test requirements: 1. Event-triggered judgment rules: applicable to function tests. For example, the rule: "When the system issues the command 'voice close all windows', start a 3-second timing window; within this window, if it is monitored that the values of the four signals FrontLeftWindowPosition, FrontRightWindowPosition, RearLeftWindowPosition, and RearRightWindowPosition all become 0% (fully closed) and remain stable, then judge this item as 'qualified'; otherwise, judge it as 'unqualified'".

[0045] 2. Continuous Monitoring Rules: Applicable to high-voltage system monitoring and mileage statistics. For example, a rule could be: "Continuously monitor the BatteryPackVoltage signal. If its value drops from the normal range (>300V) to below the safety threshold (<60V) within 100ms, immediately trigger a 'High-Voltage System Fault' alarm." These rules run continuously in the background, providing real-time safety monitoring.

[0046] By designing two types of rules—event-triggered and continuous monitoring—the system can intelligently cover all scenarios of detection needs, from proactive interactive functions to passive security monitoring. Event-triggered rules enable accurate and quantitative evaluation of complex function responses; continuous monitoring rules provide uninterrupted security protection 24 / 7, together forming a deep and comprehensive automated detection system.

[0047] Furthermore, in some preferred embodiments of the present invention, the continuous monitoring rules include: high-voltage system monitoring rules; the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, including: continuously receiving and parsing voltage values ​​reflecting the total voltage of the battery pack; when the voltage value is detected to drop from a preset normal range to below a safety threshold within a continuously preset time period, an alarm characterizing a high-voltage system fault is generated and sent to the vehicle-side system.

[0048] Specifically, high-voltage system monitoring is the most critical part of continuous monitoring. The cloud-based system sets extremely strict monitoring rules, such as continuously monitoring the BatteryPackVoltage signal. If its value drops from the normal range (>300V) to below the safety threshold (<60V) within 100ms, a 'high-voltage system fault' alarm is immediately triggered. Once triggered, the cloud immediately generates a high-priority fault event, not only sending it to the vehicle's EOLAPP in real time, triggering a strong audible and visual alarm, but also recording a data snapshot for a period before and after the fault for subsequent analysis. This achieves millisecond-level real-time diagnosis and immediate alarm for fatal faults in the high-voltage system. It enables millisecond-level real-time monitoring and immediate intervention of the core high-voltage system safety status of pure electric vehicles, instantly capturing and alarming for fatal faults such as "high-voltage drops." This significantly improves safety during enhanced road testing and provides R&D personnel with accurate on-site data before and after the fault, facilitating rapid root cause analysis and solving the major deficiency of weak real-time performance in traditional safety monitoring methods.

[0049] Furthermore, in some preferred embodiments of the present invention, the vehicle-side system includes: a data acquisition device with edge computing capabilities; the method includes: performing real-time analysis of vehicle status data based on the edge computing capabilities of the data acquisition device and generating test judgment results.

[0050] Specifically, to alleviate cloud computing pressure and further reduce the latency in determining critical faults, some simple and urgent judgment rules can be offloaded to data acquisition devices with edge computing capabilities. For example, for the initial judgment of "high voltage drop," the data acquisition device can quickly complete the task locally and immediately issue an alarm, while simultaneously uploading detailed data to the cloud for secondary confirmation and recording. This forms a hybrid architecture of "rapid edge response + deep cloud analysis." By introducing edge computing and moving some critical judgment tasks to the vehicle end, ultra-low latency local real-time response can be achieved, which is particularly suitable for scenarios with extremely high requirements for safety immediacy. At the same time, this cloud-edge collaborative architecture shares the cloud computing pressure, improves the overall processing efficiency and reliability of the system, and is an important direction for system architecture optimization.

[0051] In step S106, when the cloud service platform determines that the cumulative mileage of the test vehicle has reached the preset target mileage value, a test completion instruction is generated and fed back to the vehicle system, and a final test report is generated.

[0052] For details, please refer to [link / reference]. Figure 3 This step corresponds to Figure 3 The mileage monitoring, process termination judgment, and comprehensive test report generation stages define the automated termination and output stages of the intelligent testing process. The cloud continuously accumulates and analyzes the vehicle's mileage signal. When the accumulated value reaches the preset 50-kilometer endpoint, the cloud sends a "test complete" command to the vehicle's EOLAPP. The EOLAPP's mileage achievement reminder module is activated, displaying a mandatory modal dialog box (overlay) prompting the driver to leave the enhanced road test track and proceed to the static test area. After the vehicle arrives at the static test area, the cloud system automatically generates a complete enhanced road test report for the vehicle, containing all test results, high-voltage monitoring records, key data curves, and overall conclusions, for final review and archiving by the quality department. This achieves automated, standardized termination of the testing process and one-click generation of high-quality reports. By monitoring mileage in the cloud and automatically triggering completion commands, errors and arbitrariness from manual counting are avoided. The automatically generated comprehensive report integrates structured data from the entire process, forming a unique "digital twin" quality file for the vehicle, greatly improving the efficiency and accuracy of quality traceability and providing valuable data assets for subsequent big data analysis and process improvement.

[0053] Furthermore, in some preferred embodiments of the present invention, for critical non-conformities, the system can go beyond the display range of EOLAPP and integrate with the enterprise's internal instant messaging system or production line Andon system through the cloud, pushing alarm information to the mobile terminals of production line team leaders or quality engineers in real time, thereby realizing collaborative management across physical locations and accelerating the decision-making process.

[0054] This invention provides a method, apparatus, and electronic device for enhanced vehicle road testing, applied to an end-to-cloud collaborative testing system after vehicles roll off the production line. The system includes: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicates with the cloud service platform via the factory network; the method includes: the cloud service platform issuing test instructions to the vehicle-side system according to preset test logic and receiving vehicle status data from the vehicle-side system; the cloud service platform performing real-time analysis of the vehicle status data based on preset judgment rules, generating test judgment results and feeding them back to the vehicle-side system; when the cloud service platform determines that the cumulative mileage of the test vehicle has reached a preset target mileage value, generating a test completion instruction and feeding it back to the vehicle-side system, and generating a final test report; by having the cloud platform automatically schedule tests according to preset logic, analyze vehicle data in real time based on rules, and provide immediate feedback results, the testing mode that relies on subjective human experience or post-analysis is transformed into an objective and automated real-time judgment process, thereby unifying testing standards and reducing subjectivity. Secondly, relying on the real-time data closed loop formed by the vehicle-side, cloud-based, and factory network, instantaneous linkage of "command-collection-analysis-feedback" is achieved, fundamentally overcoming the shortcomings of delayed feedback and inability to intervene in real time. Finally, by uniformly monitoring test mileage and automatically generating reports through the cloud, standardized management and control of the entire process are achieved, significantly improving testing efficiency and consistency, and providing a complete structured data foundation for quality traceability.

[0055] Example 2 Based on the above embodiments, this invention provides a vehicle enhanced road test detection device, applied to an end-to-cloud collaborative detection system after a vehicle rolls off the production line. The system includes: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicates with the cloud service platform via the factory network; see also... Figure 4 The diagram shown is a structural schematic of a vehicle enhanced road test detection device provided in an embodiment of the present invention. The device includes: The test preparation module 310 is used by the cloud service platform to send test instructions to the vehicle system according to the preset test logic and to receive vehicle status data fed back by the vehicle system. The data analysis module 320 is used by the cloud service platform to perform real-time analysis of vehicle status data based on preset judgment rules, generate test judgment results, and feed them back to the vehicle system. The test report processing module 330 is used to generate a test completion instruction and send it back to the vehicle system when the cloud service platform determines that the cumulative mileage of the test vehicle has reached the preset target mileage value, and to generate the final test report.

[0056] Furthermore, in some preferred embodiments of the present invention, the vehicle-side system includes: an on-board data acquisition unit; the data acquisition unit is connected to the diagnostic interface of the test vehicle for accessing the vehicle bus network; the device further includes: a vehicle data feedback module, used to monitor and acquire all raw messages on the vehicle bus network through the data acquisition unit; add timestamps and vehicle identification information to the raw messages, form data frames, and upload them to the cloud service platform in real time via a preset transmission control protocol and / or Internet interconnection protocol in a streaming mode; wherein the message data is formed into data frames in binary log file format and uploaded, and when the network transmission is abnormal, local caching is performed and the breakpoint resume process is started.

[0057] Furthermore, in some preferred embodiments of the present invention, the vehicle data feedback module is used to assign a sequence number arranged according to a preset rule to each transmitted data frame, and maintain the transmission status of the data frame through a preset confirmation mechanism based on the confirmation character from the cloud service platform; wherein, when a network interruption is detected, the newly acquired data frames are continuously cached locally, and an attempt is made to re-establish the connection; after the network is restored, a handshake is performed with the cloud service platform to determine the last successfully received sequence number, and the upload continues from the next data frame after the last successfully received sequence number.

[0058] Furthermore, in some preferred embodiments of the present invention, the test preparation module 310 is used for the cloud service platform to send operation instructions to the interactive interface of the terminal detection application installed on the test vehicle according to a preset test sequence; the driver wakes up the voice assistant and issues voice commands according to the guidance of the interactive interface, or operates the physical buttons and / or knobs in the vehicle; the electronic control unit of the test vehicle generates a status message in response to the driver's operation, and uploads the status message to the cloud service platform through the vehicle system.

[0059] Furthermore, in some preferred embodiments of the present invention, the judgment rules include: event-triggered judgment rules and continuous monitoring rules; the data analysis module 320 is used for testing based on event-triggered judgment rules, whereby the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, including: after the cloud service platform issues a test command and starts a timing window, monitoring whether the relevant vehicle signals reach and maintain the expected state within a preset window period; for monitoring items based on continuous monitoring rules, the cloud service platform performs real-time analysis of vehicle status data based on preset judgment rules, including: continuously sampling and comparing the target signal of the test vehicle, and generating alarm information if the value of the target signal exceeds a preset safety threshold.

[0060] Furthermore, in some preferred embodiments of the present invention, the continuous monitoring rules include: high-voltage system monitoring rules; a data analysis module 320, used to continuously receive and parse voltage values ​​reflecting the total voltage of the battery pack; when the voltage value is detected to drop from a preset normal range to below a safety threshold within a continuously preset time period, an alarm characterizing a high-voltage system fault is generated and sent to the vehicle-side system.

[0061] Furthermore, in some preferred embodiments of the present invention, the factory network includes: a WiFi network and / or a 5G network.

[0062] Furthermore, in some preferred embodiments of the present invention, the vehicle-side system includes: a data acquisition device with edge computing capabilities; the device further includes: an edge computing module, used to perform real-time analysis of vehicle status data based on the edge computing capabilities of the data acquisition device and generate test judgment results.

[0063] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the vehicle enhanced road test detection device described above can be referred to the corresponding process in the embodiments of the aforementioned vehicle enhanced road test detection method, and will not be repeated here.

[0064] Example 3 This invention also provides an electronic device for running a vehicle enhanced road test method; see [link to related documentation]. Figure 5 The schematic diagram of an electronic device provided by the embodiment of the present invention shown includes a memory 400 and a processor 401. The memory 400 is used to store one or more computer instructions, which are executed by the processor 401 to implement the above-mentioned vehicle enhanced road test detection method.

[0065] Furthermore, Figure 5 The electronic device shown also includes a bus 402 and a communication interface 403. The processor 401, the communication interface 403 and the memory 400 are connected via the bus 402.

[0066] The memory 400 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 403 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 402 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0067] Processor 401 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 401 or by instructions in software form. Processor 401 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a readily available storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 400, and processor 401 reads information from memory 400 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0068] This invention also provides a computer-readable storage medium storing computer-executable instructions. When these computer-executable instructions are called and executed by a processor, they cause the processor to implement the aforementioned enhanced vehicle road test detection method. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0069] The computer program products of the vehicle enhanced road test detection method, apparatus and electronic equipment provided in the embodiments of the present invention include a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0070] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and / or device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0071] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0072] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for enhanced road testing of vehicles, characterized in that, A cloud-edge collaborative inspection system for vehicles after they roll off the production line, the system comprising: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicating with the cloud service platform via the factory network; the method comprising: The cloud service platform sends test instructions to the vehicle system according to the preset test logic and receives vehicle status data fed back by the vehicle system. The cloud service platform performs real-time analysis of the vehicle status data based on preset judgment rules, generates test judgment results, and feeds them back to the vehicle-side system. When the cloud service platform determines that the cumulative mileage of the test vehicle has reached the preset target mileage value, it generates a test completion instruction and sends it back to the vehicle-side system, as well as generates a final test report.

2. The vehicle enhanced road test method according to claim 1, characterized in that, The vehicle-mounted system includes: an onboard data acquisition unit; the data acquisition unit is connected to the diagnostic interface of the test vehicle for accessing the vehicle bus network; the steps of the vehicle-mounted system feeding back the vehicle status data include: The data acquisition device listens for and collects all raw messages on the vehicle bus network. The original message is added with a timestamp and vehicle identification information to form a data frame and is uploaded to the cloud service platform in real time via a preset transmission control protocol and / or Internet interconnection protocol in a streaming mode; wherein the message data is formed into the data frame in binary log file format and uploaded, and in the event of network transmission abnormality, local caching is performed and the breakpoint resume process is started.

3. The vehicle enhanced road test method according to claim 2, characterized in that, The breakpoint resume process includes: Each transmitted data frame is assigned a sequence number arranged according to a preset rule, and the transmission status of the data frame is maintained through a preset confirmation mechanism based on the confirmation character from the cloud service platform. When a network interruption is detected, newly acquired data frames are continuously cached locally, and attempts are made to re-establish the connection. After the network is restored, a handshake is performed with the cloud service platform to determine the last successfully received sequence number, and uploading continues from the next data frame after the last successfully received sequence number.

4. The vehicle enhanced road test method according to claim 1, characterized in that, The steps of the cloud service platform issuing test commands to the vehicle-side system according to preset test logic and receiving vehicle status data fed back by the vehicle-side system include: The cloud service platform sends operation instructions to the interactive interface of the terminal detection application installed on the test vehicle according to a preset test sequence. The driver can wake up the voice assistant and issue voice commands according to the guidance of the interactive interface, or operate the physical buttons and / or knobs in the vehicle. The electronic control unit of the test vehicle generates a status message in response to the driver's operation and uploads the status message to the cloud service platform through the vehicle system.

5. The vehicle enhanced road test method according to claim 1, characterized in that, The determination rules include: event-triggered determination rules and continuous monitoring rules; For tests based on the event-triggered judgment rules, the cloud service platform performs real-time analysis of the vehicle status data based on preset judgment rules, including: after the cloud service platform issues a test command and starts a timing window, monitoring whether the relevant vehicle signals reach and maintain the expected state within the preset window period. For monitoring projects based on the continuous monitoring rules, the cloud service platform performs real-time analysis of the vehicle status data based on preset judgment rules, including: continuously sampling and comparing the target signal of the test vehicle; if the value of the target signal exceeds a preset safety threshold, generating alarm information.

6. The vehicle enhanced road test method according to claim 5, characterized in that, The continuous monitoring rules include: high-voltage system monitoring rules; the cloud service platform performs real-time analysis of the vehicle status data based on preset judgment rules, including: Continuously receive and analyze voltage values ​​that reflect the total voltage of the battery pack; When the voltage value is detected to drop below a preset safe threshold from a preset normal range within a continuously preset time period, an alarm indicating a high-voltage system fault is generated and sent to the vehicle-side system.

7. The vehicle enhanced road test method according to claim 1, characterized in that, The factory network includes: WiFi network and / or 5G network.

8. The vehicle enhanced road test method according to claim 1, characterized in that, The vehicle-side system includes: a data acquisition device with edge computing capabilities; the method includes: The edge computing capabilities of the data acquisition device are used to perform real-time analysis of the vehicle status data and generate test judgment results.

9. A vehicle enhanced road test detection device, characterized in that, A cloud-edge collaborative inspection system for vehicles after they roll off the production line, the system comprising: a vehicle-side system, a cloud service platform, and a factory network; the vehicle-side system communicating with the cloud service platform via the factory network; the device comprising: The test preparation module is used by the cloud service platform to send test instructions to the vehicle system according to the preset test logic and to receive vehicle status data fed back by the vehicle system. The data analysis module is used by the cloud service platform to perform real-time analysis of the vehicle status data based on preset judgment rules, generate test judgment results, and feed them back to the vehicle-side system. The test report processing module is used to generate a test completion instruction and send it back to the vehicle system when the cloud service platform determines that the cumulative mileage of the test vehicle has reached the preset target mileage value, and to generate a final test report.

10. An electronic device, characterized in that, The method includes a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, the processor executing the computer-executable instructions to implement the vehicle enhanced road test method according to any one of claims 1 to 8.

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