Design Optimization and Analysis of V+1 Type Permanent Magnet Synchronous Motors with Hairpin Winding for Electric Light Trucks

As an express logistics vehicle, the power performance and range of electric light trucks are the focus of customers' attention. The core of electric vehicle performance lies in the drive motor, and its performance has a crucial impact on the comprehensive performance of the whole vehicle. PMSM with hairpin winding have become popular in the development of electric vehicles by virtue of their small size, high torque density and low-loss performance. In this paper, a hybrid algorithm combining response surface and multi-objective particle swarm algorithm is proposed to optimize the torque, loss and efficiency of the motor. The results show that the average output torque of the optimized motor model is increased by 3.68%, and the core loss and winding copper consumption are reduced by 13.21% and 4.9%, respectively.

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Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878698
Primary Topic
Electric Motor Design and Analysis
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article
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Design Optimization and Analysis of V+1 Type Permanent Magnet Synchronous Motors with Hairpin Winding for Electric Light Trucks

Peng Zhou, Zhijun Ye, Chun Liu, Zhang Lan et al.
Electric Motor Design and Analysis
article

Design Optimization and Analysis of V+1 Type Permanent Magnet Synchronous Motors with Hairpin Winding for Electric Light Trucks

Peng Zhou, Zhijun Ye, Chun Liu, Zhang Lan, Zehao He, Yu Shen Lu
article en

Abstract

As an express logistics vehicle, the power performance and range of electric light trucks are the focus of customers' attention. The core of electric vehicle performance lies in the drive motor, and its performance has a crucial impact on the comprehensive performance of the whole vehicle. PMSM with hairpin winding have become popular in the development of electric vehicles by virtue of their small size, high torque density and low-loss performance. In this paper, a hybrid algorithm combining response surface and multi-objective particle swarm algorithm is proposed to optimize the torque, loss and efficiency of the motor. The results show that the average output torque of the optimized motor model is increased by 3.68%, and the core loss and winding copper consumption are reduced by 13.21% and 4.9%, respectively.

Huaqiao University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Electric Motor Design and Analysis
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Design Optimization and Analysis of V+1 Type Permanent Magnet Synchronous Motors with Hairpin Winding for Electric Light Trucks — Peng Zhou, Zhijun Ye, et al. · (2024) | TGRS Research Map | TGRS