Open AccessResearch on intelligent Diagnosis method of Electric vehicle Charging Fault based on artificial intelligence expert system
Author(s) -
Lutong Yang,
Hui Gao,
Haowei Duan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012125
Subject(s) - battery (electricity) , electric vehicle , process (computing) , fault (geology) , automotive engineering , computer science , expert system , artificial neural network , engineering , artificial intelligence , reliability engineering , power (physics) , control engineering , physics , quantum mechanics , seismology , geology , operating system
To realize charging electric vehicle safety, this paper studies the latest artificial intelligence learning algorithm, combined with the characteristics in the process of electric vehicle charging, based on the deep learning algorithm of charge-discharge failure correlation method, combining with the characteristics of the expert system, design of electric vehicle charging process of the fault intelligent diagnosis system structure, characteristic information database, knowledge base, reasoning machine, and for battery, charging pile, power supply equipment failure correlation between the integration of online diagnosis, which can effectively improve the electric car battery safety, promote the healthy development of electric vehicles.