Temperature Field Analysis and Heat Dissipation Optimization for In-Wheel Motor Based on Magnetic-Thermal Coupling

To address the challenge of heat dissipation in electric vehicle in-wheel motors within limited space, this study conducted temperature field analysis and cooling structure optimization based on magnetic–thermal coupling. The three-dimensional finite element model and the magnetic–thermal-coupled mathematical models of synchronous permanent magnet in-wheel motors were established. Using a coupled electromagnetic–thermal finite element analysis method, numerical simulations were performed to investigate the transient temperature fields of the in-wheel motor under different driving conditions. The effects of three different cooling channel structures on the temperature rise and the pressure drop of the in-wheel motor were compared, and a parallel channel structure suitable for the in-wheel motor was selected. The influences of channel quantity, channel width, and coolant flow rate on the temperature field were analyzed. Furthermore, a multi-objective optimization of the cooling structure was carried out using the NSGA-II genetic algorithm. The simulation results demonstrated a significant improvement in the overall thermal performance of the optimized cooling structure. The maximum temperature of the hub motor decreased by 2.25% and 3.32% under the rated and peak speeds, respectively, while the pressure drop in the water channel was reduced by 58.52%. This study provides a theoretical reference for temperature field calculation and cooling structure design of hub motors.

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Publication Details

Journal
Energies
Published
2025-10-20
DOI
https://doi.org/10.3390/en18205517
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Temperature Field Analysis and Heat Dissipation Optimization for In-Wheel Motor Based on Magnetic-Thermal Coupling

Shihao Li, Yuyong Wang, Tang Jin-hua, K.L. Wang et al.
Energies
Electric Motor Design and Analysis
article

Temperature Field Analysis and Heat Dissipation Optimization for In-Wheel Motor Based on Magnetic-Thermal Coupling

Shihao Li, Yuyong Wang, Tang Jin-hua, K.L. Wang, Chuanyun Zhu
article en

Abstract

To address the challenge of heat dissipation in electric vehicle in-wheel motors within limited space, this study conducted temperature field analysis and cooling structure optimization based on magnetic–thermal coupling. The three-dimensional finite element model and the magnetic–thermal-coupled mathematical models of synchronous permanent magnet in-wheel motors were established. Using a coupled electromagnetic–thermal finite element analysis method, numerical simulations were performed to investigate the transient temperature fields of the in-wheel motor under different driving conditions. The effects of three different cooling channel structures on the temperature rise and the pressure drop of the in-wheel motor were compared, and a parallel channel structure suitable for the in-wheel motor was selected. The influences of channel quantity, channel width, and coolant flow rate on the temperature field were analyzed. Furthermore, a multi-objective optimization of the cooling structure was carried out using the NSGA-II genetic algorithm. The simulation results demonstrated a significant improvement in the overall thermal performance of the optimized cooling structure. The maximum temperature of the hub motor decreased by 2.25% and 3.32% under the rated and peak speeds, respectively, while the pressure drop in the water channel was reduced by 58.52%. This study provides a theoretical reference for temperature field calculation and cooling structure design of hub motors.

EnergiesVol. 18(20)
Jiangsu University of Technology (CN)
Jiangsu University, Government of Jiangsu Province, Jiangsu University of Technology
Openalex Percentile: Top 70%
Electric Motor Design and Analysis
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Temperature Field Analysis and Heat Dissipation Optimization for In-Wheel Motor Based on Magnetic-Thermal Coupling — Shihao Li, Yuyong Wang, et al. · Energies (2025) | TGRS Research Map | TGRS