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Design optimization of vehicle EHPS system based on multi-objective genetic algorithm

Electric hydraulic power steering (EHPS) system has been widely used in large and medium cars, which plays an important role in determining the energy loss, driving safety and driving comfort of vehicles. This work mainly discusses the parameter design of the EHPS system based on the multi-objective optimization algorithm. Since there is no explicit standard for the performance indexes of EHPS system, this work proposes to take the energy consumption, steering road feel, steering sensibility and steering stability as the main performance indexes of EHPS system. Based on these, a multi-objective optimization model is established with the non-dominated sorting genetic algorithm-III based on fitness function (NSGA-III-FF), which has better convergence than the original NSGA-III. Simulation results show that NSGA-III-FF enhances the comprehensive performance of the EHPS system, which can successfully achieve the goal of multiobjective optimization for steering flexibility, steering road feel, and energy loss while ensuring the steering stability.