Real-Time Diagnosis of an In-Wheel Motor of an Electric Vehicle Based on Dynamic Bayesian Networks

Real-Time Diagnosis of an In-Wheel Motor of an Electric Vehicle Based on Dynamic Bayesian Networks

This study proposes a new real-time diagnosis method for an in-wheel motor (IWM) of an electric vehicle (EV) based on dynamic Bayesian networks (DBNs). Since the electrical signal of the vehicle power supply is unstable because of the interference resulting from the EV's frequent acceleration a...

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Bibliographic Details
Main Authors: Hongtao Xue, Jiawen Zhou, Zhenyu Chen, Zhongxing Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dynamic Bayesian networks
electric vehicle
in-wheel motor
real-time diagnosis
road-speed-time slice
Online Access:https://ieeexplore.ieee.org/document/8804186/

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