Matching Analysis and Optimization Design of Energy-saving Intelligent Electro-hydraulic Hybrid Steering System

Guobiao Shi, Qian Zhou, Shuai Wang, Chengyun Ju
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Abstract

Based on the modeling of 2DOF vehicle, energysaving intelligent EHHS system and controller, the influence of different parameters on the vehicle steering performance is studied and then the most important parameters are determined. To establish the stability criteria, the road feeling and steering sensitivity transfer function are derived. Next, the optimization model is put forward, and the genetic algorithm is used to optimize the important parameters of EHHS system. The simulation results show that the optimization design improves the steering performance of the steering system while ensuring the stability of the system.
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节能型智能电液混合动力转向系统匹配分析与优化设计
基于二自由度汽车的建模、节能智能EHHS系统和控制器,研究了不同参数对汽车转向性能的影响,确定了最重要的参数。为了建立稳定性判据,推导了路感和转向灵敏度传递函数。其次,提出了优化模型,并利用遗传算法对EHHS系统的重要参数进行了优化。仿真结果表明,优化设计在保证转向系统稳定性的同时,提高了转向系统的转向性能。
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