Abstract
This paper presents the effect of in-wheel motor (IWM) suspension system on electric vehicle (EV) ride comfort. To analyze the impact on the vehicle ride comfort caused by IWM suspension system, a dynamic model of quarter vehicle is established with the combination of IWM and road surface roughness excitations. The weighted root-mean-square (r.m.s.) acceleration of the vertical vehicle body (awbz) according to the international standard ISO 2631-1 (1997) is selected as an objective function to analyze the effect of IWM suspension system when the road surface and IWM mass conditions change. The study results indicate that the effect of IWM suspension system on the EV ride quality is significant and the value of awbz reduces by 8.6 % in comparison to without IWM suspension system. The IWM suspension system has significantly improved the EV ride quality when the road surface and IWM mass conditions change.
Highlights
In recent years, in order to reduce environmental pollutions, electric vehicles have been studied and developed by researchers to improve the vehicle efficiency and they pay much attention to perfecting the design to improve the ride quality
The in-wheel motor (IWM) suspension system makes the value of a reduce by 8.6 % in comparison without IWM suspension system which means that the effect of IWM suspension system on the vehicle ride quality is significant
A one-quarter electric vehicle (EV) dynamic model is developed for analyzing the effect of inIWM suspension system on (EV) ride comfort
Summary
In order to reduce environmental pollutions, electric vehicles have been studied and developed by researchers to improve the vehicle efficiency and they pay much attention to perfecting the design to improve the ride quality. Liqiang Jin et al analyzed the influence of the ratio between unsprung and sprung mass on ride comfort of vehicles driven by in-wheel motors using an 11 degrees of freedom of vehicle ride comfort model [3]. O. and Başar Özkan analyzed the effect of in-wheel electric motors mass on the performance of passive and active suspension systems [4]. Liu M. et al proposed the ride comfort optimization of In-Wheel-Motor EV with In-Wheel vibration absorbers using two control methods such as the linear quadratic regulator (LQR) algorithm for suspension damper and the fuzzy PID method for in-wheel damper [6]. Di Tan et al proposed a dual-loop proportion integration differentiation controller based on the particle swarm algorithm is designed to control the active suspension of the EV driven by in-wheel motor [8]
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