scholarly journals Ride Comfort Optimization of In-Wheel-Motor Electric Vehicles with In-Wheel Vibration Absorbers

Energies ◽  
2017 ◽  
Vol 10 (10) ◽  
pp. 1647 ◽  
Author(s):  
Mingchun Liu ◽  
Feihong Gu ◽  
Yuanzhi Zhang
Keyword(s):  
Electric Vehicles ◽  
Ride Comfort ◽  
Vibration Absorbers ◽  
Wheel Vibration

Optimization control for dynamic vibration absorbers and active suspensions of in-wheel-motor-driven electric vehicles

2020 ◽  
Vol 234 (9) ◽  
pp. 2377-2392
Author(s):  
Mingchun Liu ◽  
Yuanzhi Zhang ◽  
Juhua Huang ◽  
Caizhi Zhang
Keyword(s):  
Electric Vehicles ◽  
Ride Comfort ◽  
Linear Quadratic Regulator ◽  
Vibration Absorber ◽  
Linear Quadratic ◽  
Dynamic Vibration Absorber ◽  
Dynamic Vibration ◽  
Optimization Control ◽  
Motor Vibration ◽  
Suspension Performance

This study addresses the challenges of ride comfort improvement and in-wheel-motor vibration suppression in in-wheel-motor-driven electric vehicles. First, a mathematical model of a quarter vehicle equipped with a dynamic vibration absorber and an active suspension is developed. Then, a two-stage optimization control method is proposed to improve the coupled dynamic vibration absorber–suspension performance. In the first stage, a linear quadratic regulator controller based on particle swarm optimization is designed for the dynamic vibration absorber to suppress the in-wheel-motor vibration, in which the dynamic vibration absorber parameters and linear quadratic regulator controller weighting factors are optimally matched by using the particle swarm optimization algorithm. In the second stage, a finite-frequency H∞ controller is designed in the framework of linear matrix inequality optimization for the active suspension to improve vehicle ride comfort. Suspension performance factors, including suspension working space and road-holding ability, are taken as constraints in both stages. The proposed method simultaneously improves vehicle ride comfort and suppresses in-wheel-motor vibration. Finally, the effectiveness and superiority of the proposed method are illustrated through comparison simulations.

scholarly journals Ride Blending Control for Electric Vehicles

2019 ◽  
Vol 10 (2) ◽  
pp. 36 ◽  
Author(s):  
Vincenzo Ricciardi ◽  
Valentin Ivanov ◽  
Miguel Dhaens ◽  
Bert Vandersmissen ◽  
Marc Geraerts ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Ride Comfort ◽  
Simulation Analysis ◽  
Superior Performance ◽  
Ride Quality ◽  
Active Suspensions ◽  
Control Functions ◽  
Performance Indexes ◽  
Advanced Control ◽  
Passive Suspension System

Vehicles equipped with in-wheel motors (IWMs) feature advanced control functions that allow for enhanced vehicle dynamics and stability. However, these improvements occur to the detriment of ride comfort due to the increased unsprung mass. This study investigates the driving comfort enhancement in electric vehicles that can be achieved through blended control of IWMs and active suspensions (ASs). The term “ride blending”, coined in a previous authors’ work and herein retained, is proposed by analogy with the brake blending to identify the blended action of IWMs and ASs. In the present work, the superior performance of the ride blending control is demonstrated against several driving manoeuvres typically used for the evaluation of the ride quality. The effectiveness of the proposed ride blending control is confirmed by the improved key performance indexes associated with driving comfort and active safety. The simulation results refer to the comparison of the conventional sport utility vehicle (SUV) equipped with a passive suspension system and its electric version provided with ride blending control. The simulation analysis is conducted with an experimentally validated vehicle model in CarMaker® and MATLAB/Simulink co-simulation environment including high-fidelity vehicle subsystems models.

scholarly journals Ride Comfort Optimization of In-Wheel-Motor Electric Vehicle with In-Wheel Vibration Absorber

2017 ◽  
Author(s):  
Mingchun Liu ◽  
Feihong Gu ◽  
Yuanzhi Zhang
Keyword(s):  
Electric Vehicle ◽  
Ride Comfort ◽  
Superior Performance ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Vibration Absorber ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Wheel Vibration ◽  
Motor Vibration

In this paper, an in-wheel vibration absorber for In-wheel-motor electric vehicle (IWM EV) is designed, and a comprehensive control strategy of in-wheel absorber and vehicle suspension is proposed to improve vehicle ride comfort. The proposed in-wheel vibration absorber, designed for suppressing the motor vibration, is composed of a spring and a controllable damper. The values of in-wheel spring stiffness and damper initial coefficient are determined by using the improved particle swarm optimization (IPSO) algorithm, which is carried on the typical driving condition. To deal with the negative interaction effects between vehicle suspension and in-wheel absorber, the linear quadratic regulator (LQR) algorithm is utilized to control suspension damper, and the fuzzy PID method is utilized to control in-wheel damper. Based on the four evaluation indexes including vehicle body vertical acceleration, suspension dynamic deflection, wheel dynamic load and motor wallop, the simulation results show that, the proposed LQR control of suspension effectively improves vehicle ride comfort, and the fuzzy PID control of in-wheel damper exhibits superior performance of motor vibration suppressing in comparison to conventional electric wheel.

scholarly journals Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

2019 ◽  
Vol 2 (4) ◽  
pp. 254-262 ◽  
Author(s):  
Yechen Qin ◽  
Zhenfeng Wang ◽  
Kang Yuan ◽  
Yubiao Zhang
Keyword(s):  
Electric Vehicles ◽  
Ride Comfort ◽  
Combustion Engine ◽  
Coupling Effect ◽  
Design System ◽  
Optimization Approach ◽  
Coupling Effects ◽  
Effect Analysis ◽  
System Parameters ◽  
Dynamic Vibration

AbstractDistributed-drive electric vehicles (EVs) replace internal combustion engine with multiple motors, and the novel configuration results in new dynamic-related issues. This paper studies the coupling effects between the parameters and responses of dynamic vibration-absorbing structures (DVAS) for EVs driven by in-wheel motors (IWM). Firstly, a DVAS-based quarter suspension model is developed for distributed-drive EVs, from which nine parameters and five responses are selected for the coupling effect analysis. A two-stage global sensitivity analysis is then utilized to investigate the effect of each parameter on the responses. The control of the system is then converted into a multiobjective optimization problem with the defined system parameters being the optimization variables, and three dynamic limitations regarding both motor and suspension subsystems are taken as the constraints. A particle swarm optimization approach is then used to either improve ride comfort or mitigate IWM vibration, and two optimized parameter sets for these two objects are provided at last. Simulation results provide in-depth conclusions for the coupling effects between parameters and responses, as well as a guideline on how to design system parameters for contradictory objectives. It can be concluded that either passenger comfort or motor lifespan can be reduced up to 36% and 15% by properly changing the IWM suspension system parameters.

Sign in / Sign up

Export Citation Format

Share Document