NDLI: Modular scheme for four-wheel-drive electric vehicle tire-road force and velocity estimation

Content Provider	IET Digital Library
Author	Guo, Hongyan Liu, Hui Yin, Zhenyu Wang, Yulei Chen, Hong Ma, Yingjun
Abstract	The limited availability of vehicle state information, including tire-road forces and vehicle velocities, restricts the development of control strategies for intelligent vehicles and new energy vehicles. This study proposes a modular estimation scheme for tire-road forces and vehicle velocities that can effectively cope with the cyclic coupling of the vehicle dynamics. The longitudinal tire-road forces are estimated using a sliding mode observer. Then, an observer for the lateral tire-road forces that exist in a cascade structure with the longitudinal tire-road force observer is designed. Non-linear vehicle velocity observers that take the estimated longitudinal and lateral tire-road forces as inputs are designed. A genetic algorithm approach is employed to select the observer gains. Finally, experimental validations under normal conditions and offline simulations under critical conditions for verifying the robustness with respect to measurement noise are conducted. The results demonstrate that the proposed modular scheme for tire-road force and vehicle velocity estimation yields acceptable results and has potential value for real vehicle applications.
Starting Page	551
Ending Page	562
Page Count	12
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 3, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5098
Journal	IET Intelligent Transport Systems
Publisher Date	2018-10-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cyclic Coupling Drive Electric Vehicle Energy Vehicle Four-wheel-drive Electric Vehicle Tire-road Force Estimation Four-wheel-drive Electric Vehicle Tire-road Velocity Estimation Genetic Algorithm Intelligent Vehicle Lateral Tire-road Force Estimation Longitudinal Tire-road Force Estimation Longitudinal Tire-road Force Observer Measurement Noise Mechanical Drive And Transmissions Modular Estimation Scheme Nonlinear Vehicle Velocity Observers Observer Gain Observers Optimisation Optimisation Technique Sliding Mode Observer Transportation Vehicle Dynamics Vehicle Mechanics Vehicle State Information
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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