@article{ref1,
title="Model-predictive-control-based novel anti-skid method for electric vehicles using the wheel acceleration and the motor torque",
journal="Proceedings of the Institution of Mechanical Engineers, Part D: Journal of automobile engineering",
year="2016",
author="Liu, Xijuan and Li, M. and Xu, M.",
volume="230",
number="13",
pages="1780-1790",
abstract="To solve the oil shortage and emission problems resulting from millions of conventional vehicles driven by engines, vehicle electrification has become one of the possible solutions recognized worldwide. A model-predictive-control-based anti-skid method for electric vehicles is presented in this paper. In this control strategy, a novel single parameter, denoted R(subscript)at, is regulated to constrain the skid of the vehicle. R(subscript)at is the ratio of the wheel acceleration to the drive motor torque, both of which are easy to obtain for electric motors. It is proved in this paper that, for electric vehicles, the wheel slip can be detected using the new parameter R(subscript)at. Model predictive control is employed in this research to restrict R(subscript)at within its safety region. Both the simulation results and the experimental results show that the model predictive control R(subscript)at method introduced in this paper can detect and prevent the potential skid of the electric vehicles.   Copyright © 2016, Sage publications<p /> <p>Language: en</p>",
language="en",
issn="0954-4070",
doi="10.1177/0954407015623895",
url="http://dx.doi.org/10.1177/0954407015623895"
}