Optimization of Temperature Model in Axial Flux Motor Based on Genetic Algorithm for EVs

被引：0

作者：

Li Z. ^{[1
]}

Zhang S. ^{[1
]}

Zhang C. ^{[1
]}

机构：

[1] 1. Beijing Institute of Technology，National Engineering Laboratory for Electric Vehicles，Beijing 100081；2. Beijing Collaborative Innovation Center for Electric Vehicles，Beijing Institute of Technology，Beijing 100081

来源：

Qiche Gongcheng/Automotive Engineering | 2023年 / 45卷 / 04期

关键词：

axial flux motor; genetic algorithm; lumped parameter thermal network; weighted graph;

D O I：

10.19562/j.chinasae.qcgc.2023.04.009

中图分类号：

学科分类号：

摘要：

In recent years，segmented armature axial flux motors have been widely used in the field of electric vehicles with the high torque density and compact axial size. However，due to the complex material composition of the contact area between segmented armatures and cooling fins，and the difficulties in determining the pressure at each position，the thermal conductivity of this region is always the difficulty of temperature prediction for such motors. For the heat transfer behavior of non-ideal contact surface，a research method of building a weighted model based on the three-dimensional thermal resistance grid model is proposed in this paper to fine-tune the unknown thermal conductivity. Firstly，the topology of the prototype is introduced，and the thermal resistance grid model and the weighted model framework of the segmented armature single sector are established. The unknown thermal conductivity in the weighted model is trained by genetic algorithm，and the model is used to replace the traditional single-sector thermal resistance grid model of the motor. Finally，the method is verified by the experimental bench of the prototype motor. © 2023 SAE-China. All rights reserved.

引用

页码：609 / 618

页数：9

共 15 条

[1] LI G, WANG Y, ZONG C F., Four wheel hub motor electric vehicle driving state estimation［J］, Automotive Engineering, 40, 2, pp. 150-155, (2018)
[2] LI T, ZHANG Y T, LIANG Y X，, Et al., Reconstruction method based on the magnetic field of the axial magnetic flux hub motor modeling study［J］, Automotive Engineering, 42, 1, pp. 81-87, (2020)
[3] ZHANG Z Y, ZHANG F, HUANG C X, Et al., Steering performance optimization of electric vehicle driven by hub motor［J］, Automotive Engineering, 40, 10, pp. 1206-1214, (2018)
[4] GUO B C., Design and multi-physical field analysis of high-speed disk-type permanent magnet motor［D］, (2017)
[5] SERGEANT P., Multiphysics analysis of a stator construction method in yokeless and segmented armature axial flux PM machines［J］, IEEE Transactions on Energy Conversion, 34, 1, pp. 139-146, (2019)
[6] ZHANG F，, Et al., Electrical machine slot thermal condition effects on back-iron extension thermal benefits［J］, IEEE Transactions on Transportation Electrification, 7, 4, pp. 2927-2938, (2021)
[7] CHANG J J, WANG C, ZHENG X X, Et al., Axial magnetic flux hub motors new eddy current loss of the cooling system optimization［J］, Automotive Engineering, 43, 8, pp. 1254-1262, (2021)
[8] ZHAO L P，, JIANG C X, Et al., Oil cooling external rotor hub motor vehicle running environment the influence of the temperature characteristic ［J］, Automotive Engineering, 41, 4, pp. 373-380, (2019)
[9] BURKE R, WU Z，, Et al., A lumped parameter thermal model for single-sided afpm machines with experimental validation［J］, IEEE Transactions on Transportation Electrification, 6, 3, pp. 1065-1083, (2020)
[10] ZHANG H S, DENG Z X, YANG M L，, Et al., Electric load of automotive wheel hub motor magnetic field analytic calculation［J］, Automotive Engineering, 42, 12, pp. 1655-1664, (2020)

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