Diagnosis method and device of electric car

Abstract

The invention discloses a diagnosis method and device of an electric car. The diagnosis method comprises the steps that mode sensitive features are extracted according to state data flow expressing the operation states of the electric car; feature evaluation is carried out on the operation states of the electric car according to the mode sensitive features; a mode bank comprising the normal mode and a plurality of fault modes is built according a result of the feature evaluation; multiple similarities between the multiple modes in the mode bank and the data flow expressing the real-time operation states of the electric car are calculated and compared; a fault warning signal is generated according to the comparison result. The diagnosis method and device of the electric car achieve real-time forecast of faults, improve the efficiency, and provide basis for remote diagnosis decision making of the electric car. Meanwhile, manual participation is reduced, and potential safety hazard generated by labor is avoided.

Description

technical field [0001] The invention relates to the field of electric vehicles, in particular to a fault diagnosis method and a diagnosis device for electric vehicles. Background technique [0002] With the development of science and technology, the degree of electronics in automobiles is getting higher and higher. For example, technologies such as ABS, ASR, airbags, and engine electronically controlled injection are continuously applied to automobiles. Automotive electronic control equipment can process various information quickly and accurately, and display it through the vehicle instrument, so that the driver can understand and grasp the running status of the car in time, and properly handle various situations. However, the higher the degree of electronic control, the more instruments and parameters are involved, and the more difficult the fault diagnosis of the car is. [0003] The methods for solving the safety problems of electric vehicles in the prior art include: fa...

AI Technical Summary

Problems solved by technology

However, these technologies rely heavily on expert knowledge, which cannot be obtained in a timely and effective manner in many cases

Furthermore, existing fault diagnosis methods cannot predict failures and, therefore, cannot prevent failures from occurring

Periodic repairs and maintenance with unclear purposes are not only costly and inefficient, but also it is difficult to quickly discover potential safety hazards of electric vehicles through manual inspection

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