Multiobjective Optimization of a Traction Motor in Driving Cycles Using a Coupled Electromagnetic-Thermal 1D Simulation

被引:5
作者
Ahn, Sungho [1 ,2 ]
Song, Wonseok [3 ]
Min, Seungjae [1 ,3 ]
机构
[1] Hanyang Univ, Dept Automot Engn Automot Comp Convergence, Seoul, South Korea
[2] LG Magna, Incheon, South Korea
[3] Hanyang Univ, Dept Automot Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
DESIGN OPTIMIZATION; ELECTRICAL MACHINES; MODEL;
D O I
10.1155/2023/8854778
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes an electric propulsion system model for computationally efficient multiobjective optimization considering overall driving cycles using coupled electromagnetic-thermal 1D simulation. The proposed system model uses equivalent circuit networks rather than finite element method to obtain high computational efficiency because considering both driving cycles and motor temperature change during optimization requires considerable computational cost. The magnetic saturation effect and temperature change of traction motor during operation are examined by constructing look-up tables. This study first integrated the lumped parameter thermal network into the system model to consider the motor temperature change without any iterative process. The 1D simulation results over urban and highway driving cycles indicate that the changes in the induced current, efficiency, and motor temperature could be predicted while driving. The Pareto optimal solution of traction motor cross-sectional geometry including reduction ratio is successfully obtained by multiobjective optimization with the maximum output torque constraint. Constructing the proposed system model once, optimal design for multiple target driving cycles can be obtained without any driving cycle analysis. In addition, high computational efficiency indicates that the proposed system model is practical in the early design stage of various electric propulsions.
引用
收藏
页数:20
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