MPC-based slip control for distributed drive electric vehicle

This article proposes a new slip control system for electric vehicles (EVs) equipped with four in-wheel motors. This system uses the nonlinear model predictive control (nonlinear MPC) scheme. To guarantee vehicle safety, the stable region of wheel slip is regarded as the time-domain constraint of the nonlinear MPC. The control objectives cover vehicle safety as well as good longitudinal acceleration performance. In this article, the nonlinear MPC is utilized to solve this complex optimization control problem with constraints. The vehicle safety objective is achieved through the constraint of the stable region of wheel slip, and other objectives are accomplished by adding additional cost functions. The effectiveness of the proposed controller has been verified in the co-simulation environment of CarSim and Simulink, which has significant practical implications.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.1117/12.3080256
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

MPC-based slip control for distributed drive electric vehicle

Dongjie Gao, Dejun Yin, Xinyu Zhao, Susu Liu
Electric and Hybrid Vehicle Technologies
article

MPC-based slip control for distributed drive electric vehicle

Dongjie Gao, Dejun Yin, Xinyu Zhao, Susu Liu
article en

Abstract

This article proposes a new slip control system for electric vehicles (EVs) equipped with four in-wheel motors. This system uses the nonlinear model predictive control (nonlinear MPC) scheme. To guarantee vehicle safety, the stable region of wheel slip is regarded as the time-domain constraint of the nonlinear MPC. The control objectives cover vehicle safety as well as good longitudinal acceleration performance. In this article, the nonlinear MPC is utilized to solve this complex optimization control problem with constraints. The vehicle safety objective is achieved through the constraint of the stable region of wheel slip, and other objectives are accomplished by adding additional cost functions. The effectiveness of the proposed controller has been verified in the co-simulation environment of CarSim and Simulink, which has significant practical implications.

Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 73%
Electric and Hybrid Vehicle Technologies
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