Transactions of Nanjing University of Aeronautics & Astronautics
Multi-objective Optimization of Differential Steering System of Electric Vehicle with Motorized Wheels
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Abstract:
A differential steering system is presented for electric vehicle with motorized wheels and a dynamic model of three freedom car is built. Based on these models, the quantitative expressions of the road feel, sensitivity, and operation stability of the steering are derived. Then, according to the features of multi-constrained optimization of multi-objective function, a multi-island genetic algorithm (MIGA) is designed. Taking the roadfeel and the sensitivity of the steering as optimization objectives and the operation stability of the steering as a constraint, the system parameters are optimized. The simulation results show that the system optimized with MIGA can improve the steering road feel, and guarantee the operation stability and steering sensibility.
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