Title: Multi-objective optimisation design for brushless electrically excitated synchronous machines in electric vehicles

Authors: Naixi Xu; Xiaodong Sun; Ming Yao

Addresses: Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, 212013, China; Key Laboratory of Advanced Manufacture Technology for Automobile Parts (Chongqing University of Technology), Ministry of Education, Chongqing, 400054, China ' Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, 212013, China; Key Laboratory of Advanced Manufacture Technology for Automobile Parts (Chongqing University of Technology), Ministry of Education, Chongqing, 400054, China ' School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, 212013, China

Abstract: In this paper, a multi-objective optimisation method is proposed to obtain the optimal design of the brushless electrically excitated synchronous machines (BEESMs). First, the initial design of the BEESM is carried out and the parametric model is established. After the optimisation problem of BEESM is transformed into a mathematical model, all design parameters are divided into three subspaces by sensitivity analysis method and multivariate analysis of variance method. Each sub-space is optimised based on approximate models and multi-objective optimisation methods. Select the optimal solution from the Pareto solution set according to the filter conditions. The three subspaces are optimised in order, and the iterative process will continue until the convergence condition is satisfied. The experimental results based on the finite element model (FEM) show that this method can reduce the computational cost of BEESM optimisation and improve optimisation efficiency. The motor optimised by this method has better performance.

Keywords: FEM; finite element model; BEESM; brushless electrically excitated synchronous machine; multivariate analysis of variance; Pearson correlation coefficient; multi-objective optimisation.

DOI: 10.1504/IJVD.2023.134727

International Journal of Vehicle Design, 2023 Vol.92 No.2/3/4, pp.213 - 235

Received: 22 Mar 2022
Received in revised form: 23 Jun 2022
Accepted: 30 Jun 2022
Published online: 09 Nov 2023 *

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