A Taguchi-LHS-RSM Double-Staged Approach for Design Optimization of Self-Ventilated Cooling Systems Utilized in PMSMs

Zhu, Gaojia; Xu, Zeyuan; Zhang, Fengyu; Gerada, Chris; Gerada, David

Abstract

Thermal management is critical for high-power-density permanent magnet synchronous machines (PMSMs). To realize the efficient and effective design optimization of self-ventilated air cooling systems for PMSMs, in this paper, a Taguchi-preconditioned Latin hypercube sampling (LHS) and response surface method (RSM) combined approach is proposed. First, as the optimization variable numbers are mostly large when considering simultaneously the heat-sink and air-fan influences, the Taguchi method is employed to decouple the variables based on comprehensive fluidic-thermal calculations. The values of the less interconnected variables are optimized directly in this stage while the two most interconnected ones are selected and optimized in the next stage. Secondly, LHS is used to generate the sample points of the two variables with the values centered at the initially optimized results in the first stage. The RSM surrogate model is established with the LHS points, and the finally optimized values are then decided based on analytical analysis of the surrogate model. The proposed double-staged method is utilized in optimizing the self-ventilation system of a 2000-rpm outer rotor PMSM, and the optimization effectiveness is validated by comparing the cooling efficiency and effectiveness of the results at each optimization stage.

Citation

Zhu, G., Xu, Z., Zhang, F., Gerada, C., & Gerada, D. (2023, November). A Taguchi-LHS-RSM Double-Staged Approach for Design Optimization of Self-Ventilated Cooling Systems Utilized in PMSMs. Presented at 26th International Conference on Electrical Machines and Systems (ICEMS), Zhuhai, China

• Presentation Conference Type: Edited Proceedings
• Conference Name: 26th International Conference on Electrical Machines and Systems (ICEMS)
• Start Date: Nov 5, 2023
• End Date: Nov 8, 2023
• Acceptance Date: Jun 14, 2023
• Online Publication Date: Dec 14, 2023
• Publication Date: Nov 5, 2023
• Deposit Date: Mar 12, 2024
• Publicly Available Date: Mar 14, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 2169-2174
• Series Title: International Conference on Electrical Machines and Systems (ICEMS)
• Series ISSN: 2642-5513
• Book Title: 26th International Conference on Electrical Machines and Systems (ICEMS)
• ISBN: 9798350317596
• DOI: https://doi.org/10.1109/icems59686.2023.10344616
• Public URL: https://nottingham-repository.worktribe.com/output/28994748
• Publisher URL: https://ieeexplore.ieee.org/document/10344616