Model-Predictive-Control-Based Centralized Disturbance Suppression Strategy for Distributed Drive Electric Vehicle

Aiping Tan, Lixiao Gao and Yanfeng Chen ()
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Aiping Tan: School of Cyber Science and Engineering, Liaoning University, Shenyang 110036, China
Lixiao Gao: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Yanfeng Chen: College of Computer Science and Engineering, Northeastern University, Shenyang 110167, China

Energies, 2024, vol. 17, issue 10, 1-21

Abstract: This paper presents a centralized disturbance suppression strategy for distributed drive electric vehicles which is based on model predictive direct motion control. This strategy is capable of addressing issues such as parameter uncertainties and external disturbances in vehicles. Firstly, the paper provides a brief introduction to model predictive direct motion control. Secondly, it analyzes the impact of vehicle parameter uncertainties and external disturbances on the mathematical model. Finally, a centralized disturbance suppression strategy based on a sliding mode observer is proposed. Simulation results demonstrate that this strategy exhibits excellent disturbance rejection capabilities.

Keywords: distributed drive electric vehicle; in-wheel motor; model predictive control; vehicle motion control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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