Open AccessStudy on Fault Diagnosis Model of Electric Vehicle based on Learning Algorithm
Author(s) -
Hao Luo
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012184
Subject(s) - fault (geology) , electric vehicle , randomness , fault indicator , algorithm , battery (electricity) , engineering , computer science , fault detection and isolation , automotive engineering , power (physics) , artificial intelligence , mathematics , statistics , physics , quantum mechanics , seismology , actuator , geology
As a complex system composed of a variety of mechanical and electrical equipment, the fault of electric vehicle is also complex and diverse. The fault causes of electric vehicles have the characteristics of fuzziness or randomness. As an important part of the electric vehicle, the power battery pack is one of the main fault sources of the electric vehicle, and it is also the focus of fault diagnosis. Therefore, this paper first analyzes the battery fault of electric vehicle, and then introduces the knowledge base and classification method of fault diagnosis model, and finally studies the fault diagnosis model and algorithm of electric vehicle based on decision tree.