Multi-objective optimization of active suspension system in electric vehicle with In-Wheel-Motor against the negative electromechanical coupling effects. (1st February 2019)

• Record Type: Journal Article
• Authors: Li, Zhe; Zheng, Ling; Ren, Yue; Li, Yinong; Xiong, Zhoubing
• Is Part Of: Mechanical systems and signal processing. Volume 116(2019)
• Page Start: 545
• Page End: 565
• Publication Date: 2019-02-01
• Subjects: Four wheel drive -- In wheel motor -- Electromechanical coupling -- Active suspension -- Multi-objective optimization -- PSO; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2018.07.001
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: The electromechanical coupling circle in IWM-EVs is considered by developing an integrated model. The key factors to cause the unbalanced electromagnetic excitation in IWM is discussed and its influence on the ride comfort in IWM-EVs is analyzed. Corresponding control method based on active suspension system is proposed and the optimization process is conducted. Intelligent methodology is adopted to guarantee the global optimal of the vehicle dynamic responses. Abstract: This paper presents a multi-objective optimization control method of active suspension system for solving the negative vibration issues emerged from In-Wheel-Motor (IWM) in electric vehicles. An integrated model which considering electromechanical coupling between electromagnetic excitation in motor and transient dynamics in vehicle is established and developed. The characteristics of electromagnetic excitation are discussed and its influences on vehicle dynamics are analyzed. The key factors are formulated and selected as the objective criteria for multi-objective optimization approach. The Pareto solution set of optimal parameters in active suspension system is generated by Particle Swarm Optimization (PSO) method, a comparison in vehicle dynamic performances is made to verify the targeted optimization method. The simulation results indicate that the optimized active suspension system can effectively reduce the vertical component of unbalanced electromagnetic excitation by maintaining the relative eccentricity of driving motor in a reasonable interval meanwhile attenuate the sensitivity of the vehicle system to electromagnetic excitation. Furthermore, active suspension system also preserve dynamical advantages in vehicle by means of a balance between the ride comfort and the road holding. The proposed multi-objective optimization method of active suspension system demonstrates a potential application in engineering in order to solve vibration issues in electric vehicle with in wheel motor.