Vertical-Longitudinal Coupling Effect Investigation and System Optimization for a Suspension-In-Wheel-Motor System in Electric Vehicle Applications

被引:3
作者
Zhao, Ze [1 ]
Zhang, Lei [1 ]
Wu, Jianyang [2 ]
Gu, Liang [1 ]
Li, Shaohua [3 ]
机构
[1] Beijing Inst Technol, Natl Engn Res Ctr Elect Vehicles, Beijing 100081, Peoples R China
[2] Beijing Inst Space Launch Technol, Beijing 100076, Peoples R China
[3] Shijiazhuang Tiedao Univ, State Key Lab Mech Behav & Syst Safety Traff Engn, Shijiazhuang 050043, Peoples R China
基金
中国国家自然科学基金;
关键词
in-wheel-motor; unbalanced electric magnetic force; vertical-longitudinal dynamics; road-tire-rotor force; multi-optimization method; virtual prototype; SWITCHED RELUCTANCE MOTOR; TYRE MODEL; VIBRATION; FORCE; DRIVEN; NOISE; SIMULATION; REDUCTION; STRATEGY;
D O I
10.3390/su15054168
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In-wheel-motor-drive electric vehicles have attracted enormous attention due to its potentials of improving vehicle performance and safety. Road surface roughness results in forced vibration of in-wheel-motor (IWM) and thus aggravates the unbalanced electric magnetic force (UEMF) between its rotor and stator. This can further compromise vertical and longitudinal vehicle dynamics. This paper presents a comprehensive study to reveal the coupled vertical-longitudinal effect on suspension-in-wheel-motor systems (SIWMS) along with a viable optimization procedure to improve ride comfort and handling performance. First, a UEMF model is established to analyze the mechanical-electrical-magnetic coupling relationship inside an IWM. Then a road-tire-ring force (RTR) model that can capture the transient tire-road contact patch and tire belt deformation is established to accurately describe the road-tire and tire-rotor forces. The UEMF and the RTRF model are incorporated into the quarter-SIWMS model to investigate the coupled vertical-longitudinal vehicle dynamics. Through simulation studies, a comprehensive evaluation system is put forward to quantitatively assess the effects during braking maneuvers under various road conditions. The key parameters of the SIWMS are optimized via a multi-optimization method to reduce the adverse impact of UEMF. Finally, the multi-optimization method is validated in a virtual prototype which contains a high-fidelity multi-body model. The results show that the longitudinal acceleration fluctuation rate and the slip ratio signal-to-noise ratio are reduced by 5.07% and 6.13%, respectively, while the UEMF in the vertical and longitudinal directions varies from 22.2% to 34.7%, respectively, and is reduced after optimization. Thus, the negative coupling effects of UEMF are minimized while improving the ride comfort and handling performance.
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页数:24
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