Primary studies on integration optimization of differential steering of electric vehicle with motorized wheels based on quality engineering

Abstract

The model of the differential steering system (DSS) of electric vehicle with motorized wheels and the three-degree-of-freedom dynamic model of vehicle are built. Based on these models, the concepts and quantitative expressions of steering road feel, steering portability and steering stability are proposed. Through integrating the Monte Carlo descriptive sampling, elitist non-dominated sorting genetic algorithm (NSGA-II) and Taguchi robust design method, the system parameters are optimized with steering road feel and steering portability as optimization targets, and steering stability and steering portability as constraints. The simulation results show that the system optimized based on quality engineering can improve the steering road feel, guarantee steering stability and steering portability and thus provide a theoretical basis for the design and optimization of the electric vehicle with motorized wheels system.