NDLI: Vehicle Stability Enhancement of Four-Wheel-Drive Hybrid Electric Vehicle Using Rear Motor Control

Content Provider	IEEE Xplore Digital Library
Author	Donghyun Kim Sungho Hwang Hyunsoo Kim
Copyright Year	1967
Abstract	A vehicle stability enhancement control algorithm for a four-wheel-drive hybrid electric vehicle (HEV) is proposed using rear motor driving, regenerative braking control, and electrohydraulic brake (EHB) control. A fuzzy-rule-based control algorithm is proposed, which generates the direct yaw moment to compensate for the errors of the sideslip angle and yaw rate. Performance of the vehicle stability control algorithm is evaluated using ADAMS and MATLAB Simulink cosimulations. HEV chassis elements such as the tires, suspension system, and steering system are modeled to describe the vehicle's dynamic behavior in more detail using ADAMS, whereas HEV power train elements such as the engine, motor, battery, and transmission are modeled using MATLAB Simulink with the control algorithm. It is found from the simulation results that the driving and regenerative braking at the rear motor is able to provide improved stability. In addition, better performance can be achieved by applying the driving and regenerative braking control, as well as EHB control.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	727
Ending Page	735
Page Count	9
File Size	1319229
File Format	PDF
ISSN	00189545
Volume Number	57
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stability Hybrid electric vehicles Motor drives MATLAB Mathematical model Power system modeling Vehicle driving Electrohydraulics Error correction Tires vehicle stability control Four-wheel-drive (4WD) hybrid electric vehicle (HEV) regenerative braking Vehicle stability control 4WD Hybrid electric vehicle Regenerative braking
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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