Research on computer aided vehicle control strategy of pure electric vehicle
Lesheng Liu
Industry-Education Collaboration Center, Wuhan Business University
DOI: https://doi.org/10.59429/esta.v13i3.15549
Keywords: pure electric vehicle; vehicle control strategy; model predictive control; reinforcement learning; torque vectoring; energy management
Abstract
The paper focuses on pure electric vehicle (PEV) intelligent control, systematically reviewing mainstream algorithms including MPC and reinforcement learning. It compares hierarchical/integrated control frameworks, analyzes the computational energy paradox restricting onboard deployment, and points out gaps between simulation and real vehicle tests. Hybrid MPC-RL control schemes integrating V2X perception are highlighted as a promising direction to balance stability, energy efficiency and real-time computing performance for future EV control systems.
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