1. College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
2. Hangzhou Wolei Intelligent Sci-Tech Co., Ltd, Hangzhou, Zhejiang 310018, China
3. Ruili Group Ruian Auto Parts Co., Ltd. Wenzhou, Zhejiang 325000, China
Abstract:In order to study the electric power steering(EPS) stress state in the nonlinear complex system composed of roads, tires, vehicles, etc., starting from the EPS rack and pinion steering mechanism, combined with the unified tire (UniTire) model, the vehicle 7-DOF dynamics model and the front wheel alignment parameters, an EPS load resistance torque model based on the 7-DOF vehicle steering model is established to analyze the variation characteristics of EPS load resistance torque under different vehicle speeds and steering wheel angles, the multi-DOF modeling and simulation are carried out through MATLAB/Simulink software. Finally, the double lane-change simulation experiment and steering transient response simulation experiment are carried out. The experimental results show that compared with the 3-DOF vehicle steering model, the model can better reflect the variation characteristics of the vehicle EPS load resistance torque with the steering wheel angle under different vehicle speeds.
Dai C H, Chen G Y, Zong C F, et al. Precise Compound Control of Loading Force for Electric Load Simulator of Electric Power Steering Test Bench[J]. Chinese Journal of Mechanical Engineering, 2022, 35:8-18.
[5]
Zheng X, Zhu L, Luo J, et al. Simulation analysis of electric power steering System (EPS) test platform[J]. Journal of Physics: Conference Series, 2021, 1732(1): 012193-012198.
[7]
Wei Y, Oertel C, Liu Y, et al. A theoretical model of speed-dependent steering torque for rolling tyres[J]. Vehicle System Dynamics, 2017, 54(4):463-473.
Huang B H, Chen Z F. Analysis and Calculation of Steering Resistance Torque in Vehicle Active Steering System[J]. Journal of Wuhan University of Technology (Information & Management Engineering), 2008, 30(6): 912-915.
Zhu X M, Song J, Cheng S. A research on steering wheel resistance torque of a commercial vehicle base on LuGre model[J]. Automotive Engineering, 2019, 41(6):662-667.
Zhao L F, Shao W B, Xu F Y, et al. EPS friction compensation with adaptive neural network based on back-stepping method [J]. Automotive Engineering, 2018, 40(12):1454-1460.
Wang X B. Analysis of steering resistance torque of automobile [J]. Mechanical & Electrical Technology, 2015(6): 132-134.
Li Q, Li C S, Zhao Y M, et al. High-order dynamic model and simulation of closed-loop fiber-optic current sensor[J]. Acta Metrologica Sinica, 2021,42(6):785-792.
Wu X J, Liao L Q, Xie M. Spatial Mathematical Model of Rack-and-Pin Steering Mechanism[J]. Journal of Chongqing University of Technology(Natural Science), 2009, 23(3): 15-18.
[15]
郭孔辉. 汽车操纵动力学原理[M]. 南京:江苏科学技术出版社, 2009.
Li Y H, Feng Q L, Zhang Y S, et al. A Simulation Study on Power Assisting Characteristics of Full Range Vehicle Mass EPS System for Commercial Vehicles[J]. Automotive Engineering, 2019, 41(4): 432-439.
Zhu S P, Jiang X D, Wang Y R, et al. Research on parallel braking control of distributed four-wheel-drive electric vehicle[J]. Automotive Engineering, 2020, 42(11):1506-1512.
[4]
Bhardwaj A, Slavin D, Walsh J, et al. Estimation and decomposition of rack force for driving on uneven roads[J]. Control Engineering Practice, 2021, 114(6):104876-104887.
[6]
Cao D, Tang B, Jiang H B, et al. Study on Low-Speed Steering Resistance Torque of Vehicles Considering Friction between Tire and Pavement[J]. Applied Sciences, 2019, 9(5):1015-1030.
Li J, Gao X, Wang W, et al. A Collaborative Study on Ride Comfort and Handling Stability Based on Uni Tire Models[J]. Automotive Engineering, 2018, 40(2): 127-132.
Guo K H. UniTire: Unified Tire Model[J]. Journal of Mechanical Engineering, 2016, 52(12): 90-99.
Teng F C, Wang S S, Yang X F, et al. Parameter identification and verification of improved J-A hysteresis model of GMM based on PSO algorithm[J]. Acta Metrologica Sinica, 2021,42(9):1193-1199.
Zhang H, Feng H, Li L J, et al. Gear fault identification based on torsional vibration analysis method[J]. Acta Metrologica Sinica, 2019,40(2):300-305.