Optimization of electromagnetic vibration for integrated electric drive systems based on electric vehicle driving cycle considering energy consumption

Zhicheng Sun, Jianjun Hu, Zutang Yao and Shouzhi Xue

Energy, 2024, vol. 313, issue C

Abstract: To reduce the vibration of the integrated electric drive system (IEDS) in actual operation condition and enhance vehicle comfort, the method is proposed to characterize the working characteristics of the IEDS in the electric vehicle driving cycle (EVDC) that can reflect the daily travel conditions of electric vehicles by using representative points. Then, based on the representative points, the multi-objective optimization method was proposed to optimize the electromagnetic force harmonics and motor loss of the electric drive system under complex operating conditions. This method utilizes particle swarm optimization algorithm to obtain the Pareto solution set of the optimization objectives, and uses weighted sum method (WSM) to determine the best-balanced solution. The optimization results show that the multi-objective optimization method proposed in this paper reduces the electromagnetic harmonic as the optimization objective by more than 13 %. Additionally, it expands the high-efficiency region of the IEDS, reducing the energy consumption of the vehicle by 4.7 % in the EVDC, thereby decreasing vehicle energy consumption and improving vehicle comfort.

Keywords: Electromagnetic vibration; Integrated electric drive system; Energy consumption; Multi-objectives (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037964

DOI: 10.1016/j.energy.2024.134018

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