Car diagnosis technology is based on the method and means of performance testing and fault inspection of the car on the equipment and equipment. Common car diagnostic technology methods include artificial experience diagnosis, simple instrument diagnosis, precision testing and diagnosis, artificial intelligence diagnosis, and so on.Car diagnosis is common in appearance inspection, inspection of safety machines, dynamic inspections, exhaust and noise inspections, etc. Lets take a look with Xiaobian.
What are the car diagnostic technology
1. Diagnosis of manual experience
Before the 1950s, the car structure was simpler and less electrical equipment, and the fault diagnosis was completed according to artificial experience.At present, the diagnosis of artificial experience is still effective in the diagnosis of certain complex faults.
2. Simple instrument diagnosis
From the early 1950s to the end of the 1970s, as the structure of cars became increasingly complicated, electrical equipment was gradually increasing.Therefore, during the diagnosis of automotive failure, the relevant assembly and parts must be detected by instruments such as vacuum meters, pressure gauges, multimeter meters, and oscilloscopes to determine its technical status.
3. Precision testing and diagnosis
From the early 1980s to the early 1990s, due to the increasing level of electronicization of cars, dynamic random faults and functional failures of control systems were increasing.Various precision detection methods with computer technology as the core are widely used, which greatly improves the detection level and accuracy of vehicle status, and the accuracy of fault diagnosis has also greatly improved.Such as various engine analyzers, computer detectors, and various electronic detection instruments are necessary instruments for precision detection.
4. Artificial intelligence diagnosis
Beginning in the 1990s, as the electronic equipment of cars became increasingly increased, and the models and its control technology were different.Therefore, in automotive maintenance, fault diagnosis has become a critical issue.Application of various systems developed by artificial intelligence theory and technology, as well as modern information technology will help the solution of failure diagnosis> problems.
Common diagnostic content of car diagnosis
1. Appearance inspection
Check whether the conditions of the engine, the bottom of the car, the electrical system, the steering device, and the various pedal mechanisms are normal; whether the height of each liquid surface is appropriate; whether there is oil leakage, water leakage, air leakage, and electricity leakage.Such inspections are basically inspectors.
2. Check the relevant safety parts
Car braking performance, steering performance, and detection of front lights, front wheel positioning and wheels balance inspection.The main detection equipment include the brake test table, the front wheeled fixed instrument, the side slip testing table, and the light inspection device and the wheel dynamic balance test equipment.
3. Dynamic examination
Mainly use the engine performance analyzer to check the technical status of the engine ignition system and the oil supply system; use the oil analysis device to determine the degree of wear of some parts; use the chassis comprehensive test desk to determine the power performance of the car, including the acceleration and taxi performance of the car, the drive wheel output, the drive wheel outputPower, etc.
4. exhaust and noise examination
Mainly use gas analyzers to determine the content of harmful substances such as carbon monoxide, carbon dioxide, hydrocarbons, nitrogen oxidation compounds such as carbon monoxide, carbon dioxide, hydrocarbons, and nitrogen oxide in the engine.
Automotive diagnostic use technique
1. The combination of fault content and fault phenomenon is analyzed to quickly determine where the cause of the fault is located
The fault code query function of the fault diagnosis instrument can scan the electrical control system of the faulty vehicle.In most cases, the failure record is not the cause of failure.However, the content of the fault records provides the scope of determining the fault. Combined with the fault phenomenon and other auxiliary inspections, the fault can be quickly eliminated.
2. According to the storage content of multiple faults, analyze and discover their common causes
In most cases, when the failure code function is queried, multiple records of the failure will be called out. Sometimes these failure content is not isolated, often caused by a hidden failure, or there is a certain causal relationship.EssenceAnalyze the storage content through this perspective, and combined with other testing methods and maintenance experience, you can quickly judge the fault.
3. Make full use of the data stream query function
By querying the data stream, you can know the data information of the related sensors and execution elements collected by the control unit, as well as the switch status information, and display it with specific values.Make full use of these data to help the correct analysis and judgment of faults.
4. Pay attention to the meaning of data status information
The data information in the control unit read by the fault diagnostic device is diverse, and the unit is different.Understanding the expression and meaning of these data information will help more comprehensively understand the working status of the control unit and information about some sensors and execution components.

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