Text|Jane is hardcore
Editor|Hardcore
«——[·Preface·] ——»
With the continuous development of the new energy automobile industry, new energy vehicles occupy an increasingly important position in the market, and they are also facing increasing maintenance needs. For the maintenance of new energy vehicles, it is not only necessary to master the maintenance technology of traditional vehicles, but also to understand their special electronic control systems and electric drive systems, so the maintenance difficulty and maintenance cost of new energy vehicles are relatively high. Therefore, the study of electronic diagnosis technology in the maintenance of new energy vehicles has important practical significance.
«——[Application status and problems of electronic diagnostic technology in automobile maintenance.——»
Electronic diagnosis technology is one of the important means in modern car maintenance, which can diagnose the car through electronic devices such as computers, accurately and quickly find faults and repair.
At present, electronic diagnosis technology has been widely used in traditional automobile maintenance, but there are still some problems in the application of new energy vehicle maintenance, such as: the electronic control system and electric drive system of new energy vehicles are more complex than traditional vehicles, and require more advanced diagnostic technology; Components such as battery packs and charging systems also have some special faults that require special diagnostic methods. Therefore, it is necessary to conduct in-depth research on the application of electronic diagnostic technology in the maintenance of new energy vehicles to improve maintenance efficiency and quality.
Fault diagnosis is an important part of the maintenance of new energy vehicles, and it is also one of the main applications of electronic diagnosis technology in the maintenance of new energy vehicles. At present, there are two main diagnostic methods for the fault of electronic control systems of new energy vehicles: traditional troubleshooting methods and electronic diagnosis techniques.
Electronic diagnosis technology has a wide range of applications in the fault diagnosis of new energy vehicle battery management system, mainly including the following aspects:
Fault code diagnosis
When the battery management system of a new energy vehicle fails, the system will generate a corresponding fault code, and the fault type and specific location can be understood by reading the fault code. Electronic diagnostic technology can quickly and accurately read fault codes, and repair them accordingly according to the fault type corresponding to the fault code.
Data flow diagnostics
The new energy vehicle battery management system has a variety of sensors that can monitor the battery status in real time. Electronic diagnostic technology can analyze and judge the status of the battery by reading the data stream information to determine the cause of the failure.
Special function diagnostics
The new energy vehicle battery management system also has some special functions, such as battery balancing and self-discharge control. Electronic diagnostic technology can read the relevant data to determine whether these functions are normal and to deal with them accordingly when a fault occurs.
In general, electronic diagnosis technology plays a very important role in the fault diagnosis of the battery management system of new energy vehicles, which can improve the accuracy and efficiency of fault diagnosis and ensure the normal operation of new energy vehicles.
«——[Application of electronic diagnosis technology in fault diagnosis of motor control system of new energy vehicles.] ——»
The motor control system of new energy vehicles is the key system to control the operation of the motor, and its failure will lead to problems such as the inability of the vehicle to start, difficulty in acceleration, and energy loss. Electronic diagnosis technology also plays an important role in the fault diagnosis of new energy vehicle motor control system.
First, electronic diagnostic technology can help technicians quickly locate problems by performing self-tests on the motor controller and obtaining the fault code of the motor control system. You can also read the data of the sensor and analyze the speed, voltage, current and other parameters of the motor to determine whether the motor is working normally. Conduct component testing, including testing motor controllers, sensors, wiring, etc., to further determine the cause of failure.
1. In the fault diagnosis of powertrain system, it is mainly used in the following aspects:
Motor fault diagnosis: The running status, circuit and control signal of the motor are monitored and analyzed by the on-board diagnostic instrument, and the fault type and location of the motor are quickly and accurately detected, providing a scientific basis for maintenance.
Transmission fault diagnosis: real-time monitoring and diagnosis of transmission oil pressure, temperature, transmission ratio and clutch parameters, quickly determine the fault type and location of the transmission, and effectively reduce the incidence of transmission failure.
Steering system fault diagnosis: Through the on-board diagnostic instrument, the sensors, actuators and control signals of the steering system are monitored and analyzed, and the fault type and location of the steering system are quickly detected, effectively avoiding the impact of the steering system failure on the driving safety of the vehicle.
2. Maintenance
In addition to fault diagnosis, electronic diagnosis technology also plays an important role in the maintenance of new energy vehicles. Since new energy vehicles use different power systems from traditional fuel vehicles, there are also certain differences in their maintenance.
Electronic diagnosis technology can provide a scientific basis for vehicle maintenance by monitoring key parameters such as battery status and motor operation status of new energy vehicles. For example, the battery life of new energy vehicles is an important factor affecting their performance and cruising range, and real-time monitoring and evaluation of battery status through electronic diagnosis technology can detect abnormal conditions of the battery in time and maintain the battery, thereby extending its service life.
It can also provide guidance for vehicle maintenance by analyzing and evaluating the operating data of new energy vehicles. For example, through electronic diagnostic technology to monitor and analyze data such as vehicle energy consumption and mileage, it is possible to evaluate the use of the vehicle, formulate a reasonable maintenance plan, and avoid some potential failures and problems.
Remote monitoring and maintenance of new energy vehicles to improve maintenance efficiency and reduce maintenance costs. For example, through remote diagnosis technology, the battery status of the vehicle, motor control system, etc. can be remotely monitored and diagnosed, and problems can be found and dealt with in time, reducing downtime and maintenance costs for vehicle maintenance.
3. Data recording and analysis
In the maintenance process of new energy vehicles, data recording and analysis are a very important part. By recording and analyzing various data of new energy vehicles, we can have a more comprehensive understanding of the operation status of new energy vehicles, discover potential problems, and improve maintenance efficiency and quality.
For example, in the battery management system, you can record the battery's power, voltage, temperature and other parameters to analyze the status of the battery and determine whether the battery needs to be replaced or maintained.
In the powertrain system, the working status of the engine, transmission and other components can be analyzed by recording parameters such as vehicle speed and speed, and determining whether parts need to be replaced or maintained.
«——[·Experimental Process and Data Analysis·] ——»
1. Experimental design and implementation
In this experiment, a new energy vehicle was selected as the research object, and the application effect of fault diagnosis and maintenance, data recording and analysis was carried out by electronic diagnosis technology, and verified by experimental data. The specific experimental procedure is as follows:
1.1 Select new energy vehicles for experimental research and systematic inspection, including battery management system, motor control system, powertrain system, charging system, etc.
1.2 Formulate the experimental plan, clarify the experimental purpose and research content, and determine the experimental steps and methods, including fault simulation, data acquisition, model establishment and verification, etc.
1.3 Preparation before the experiment, including configuring test equipment and instruments according to the experimental protocol, debugging and warming up the experimental vehicle, etc.
1.4 Fault simulation, including simulating faults for battery management systems, motor control systems, powertrain systems, charging systems, etc., and recording fault information.
1.5 Conduct data collection and collect data related to fault simulation, including sensor data, electronic control unit (ECU) data, fault codes, etc.
Process the collected data, including data cleaning, data transformation, data integration, etc., to prepare for model establishment and validation.
1.6 Establish a fault diagnosis model, use machine learning, artificial neural network and other methods to establish a fault diagnosis model, and verify it according to experimental data.
1.7 Conduct data analysis, analyze and summarize the experimental results, and summarize the application effect of electronic diagnosis technology in the maintenance of new energy vehicles.
2. Experimental data collection and processing
During the experiment, we collected data related to fault simulation, including sensor data, ECU data, fault codes, etc., and collected a total of 1,000 pieces of data. In the process of data collection, we use multiple sensors and test equipment, including battery voltmeter, motor power tester, OBD detector, etc.
In the process of data processing, we use the Python programming language to clean, transform, integrate and other operations on data, including data deduplication, missing value processing, outlier handling, data normalization, etc.
Case: Application of electronic diagnosis technology in fault diagnosis of motor control system of new energy vehicles
Taking the failure of the motor control system of a pure electric vehicle as an example, the application of electronic diagnosis technology in the fault diagnosis of the motor control system of new energy vehicles is introduced. The vehicle malfunction is characterized by a decrease in power during acceleration and a speed that cannot exceed 30km/h.
2.1 Electronic diagnostic process
In troubleshooting, a system fault code reading is first required. Through the OBD-II diagnostic interface, the fault code of the vehicle control system can be read directly, but the fault code corresponding to different fault codes is not necessarily the same. Therefore, further analysis is required in combination with specific fault manifestations and inspection results.
In this case, since the fault manifests itself as a decrease in power during acceleration, the speed cannot exceed 30km/h, so the motor and its control system need to be checked first. For motor control systems, the following steps can be used for electronic diagnostics:
Use diagnostic instruments to read fault codes of vehicle control systems;
Analyze the read fault code, and determine the possible fault points based on the actual situation of the vehicle;
Based on the judgment results, the vehicle is inspected to find the fault point.
2.2 Troubleshooting process
In this case, the fault code is displayed as "P1B00", which is a generic motor control system fault code. Based on this, we conducted the following troubleshooting:
First check the operation of the motor controller. Use diagnostic instruments to check whether the signals of each port of the motor controller are normal and check whether the motor controller is faulty;
Check the working condition of the motor: read the speed signal of the motor to determine whether the motor is working normally;
Check the vehicle's transmission system: read the vehicle's speed signal and wheel speed signal to determine whether the vehicle's transmission system is faulty;
Check the vehicle's power system: Read the vehicle's battery voltage, current and temperature data to determine whether the vehicle's power system is faulty.
Through the above troubleshooting process, it was finally determined that the fault point of the vehicle was that the power circuit of the motor controller was faulty, resulting in the motor not working normally.
2.3 Fault Resolution
After the point of failure has been identified, repair or replacement is required for that point of failure. According to the experimental results, the following fault solutions are proposed:
Replace the motor control module: If the motor control module fails, the entire control module needs to be replaced to ensure that the entire system is running normally.
Replace the motor: If the motor is seriously damaged and cannot be repaired, the entire motor needs to be replaced to ensure that the system can operate normally.
Replace the sensor: If the fault is caused by sensor damage, the entire sensor needs to be replaced to ensure that the system can accurately sense the motor state.
Make sure the wiring is good: If the fault is caused by poor wiring, you need to re-check whether the wiring is connected correctly to ensure that the connection is firm and reliable.
In summary, electronic diagnosis technology has high application value in the fault diagnosis of motor control system of new energy vehicles, which can accurately and quickly locate fault points, improve maintenance efficiency and accuracy, and provide a strong guarantee for the safe and stable operation of new energy vehicles.
3. Display of experimental results and data analysis
Based on the analysis of experimental data, the following conclusions were drawn from this study:
3.1 Maintenance management through electronic diagnosis technology can improve the accuracy and reliability of maintenance. Electronic diagnosis technology can carry out comprehensive, timely and accurate detection and diagnosis of various parts of the vehicle, which can help detect some hidden faults that are difficult to find manually, so as to take timely measures for maintenance.
3.2 Through the analysis and comparison of maintenance data, the maintenance status of different vehicles can be obtained. Through the evaluation of the maintenance status, the use status and maintenance level of the vehicle can be judged, and then the use and maintenance of the vehicle can be managed and optimized.
3.3 The management of maintenance through electronic diagnosis technology can effectively reduce the maintenance and operating costs of the vehicle, and improve the service life and safety of the vehicle.
«——[·Author's View·] ——»
Electronic diagnosis technology is an important means of new energy vehicle maintenance, which has the advantages of accurate positioning, fast speed and high reliability. Compared with traditional mechanical diagnostic methods, electronic diagnostic technology has higher accuracy and reliability, which can help technicians locate fault points faster and improve maintenance efficiency and effectiveness.
At the same time, electronic diagnosis technology can also realize the recording and analysis of fault information, providing strong support for subsequent maintenance work. However, electronic diagnostic technology also has some shortcomings. First of all, the application of electronic diagnostic technology requires certain professional knowledge and skills, and the quality of technical personnel is required. Second, the equipment and software for electronic diagnostic technology are more expensive and require high investment costs. In addition, electronic diagnostic technology also has certain limitations, which cannot completely cover all faults and needs to be constantly updated and improved.
«——[·Future Research Direction and Application Prospects.】——»
In the field of new energy vehicles, electronic diagnostic technology will become a research hotspot and application direction in the future. The future research direction and application prospects can be carried out from the following aspects:
Further research and development of new electronic diagnostic equipment and software. With the continuous development of new energy vehicle technology, vehicle systems are becoming more and more complex, and more advanced, efficient and accurate electronic diagnostic equipment and software are required to support fault diagnosis and maintenance work.
Deepen the integration and application of electronic diagnostic technology with cutting-edge technologies such as artificial intelligence, big data, and the Internet of Things. For example, through artificial intelligence technology to analyze vehicle data, predict possible failures, and carry out repairs in advance, thereby improving vehicle reliability and safety; Realize remote monitoring and maintenance of vehicles through Internet of Things technology, reduce manual intervention, and improve work efficiency.
Carry out research on the application of electronic diagnosis technology in charging technology and battery management technology of new energy vehicles. With the popularity of new energy vehicles, charging technology and battery management technology have become more and more the focus of attention. Electronic diagnostic technology can help solve technical challenges in these areas, improving charging efficiency and battery life.
«——[References] ——»
1. TANG Guangcai,LIU Jiahui. Application of electronic diagnostic technology in the maintenance of new energy vehicles[J].Automotive Practical Technology,2022
2. Zhao Ruifeng. Analysis of electronic diagnosis technology in new energy vehicle maintenance[J].Electronic Technology,2022
3. Meng Huijun. Research on the application strategy of electronic diagnosis technology in the maintenance of new energy vehicles[J].Special Purpose Vehicle,2022
4. Yang Ronghua. Research on the application of electronic diagnosis technology in the maintenance of new energy vehicles[J].Times Auto, 2022
5. Wen Liang. Application of electronic diagnostic technology in the maintenance of new energy vehicles[J].Internal Combustion Engine and Accessories,2022