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2026-04-20
Nested-Level Optimization of a Permanent Magnet Synchronous Motor Embedded in Energy Management for Hybrid Electric Vehicles
By
Progress In Electromagnetics Research C, Vol. 169, 39-47, 2026
Abstract
In addition to considering the electromagnetic performance of the motor itself, the optimal design of an onboard permanent magnet synchronous motor (PMSM) must also account for its compatibility with a vehicle and the impact of driving cycles. To address this problem, in this study, we propose a nested optimization design approach for PMSMs to achieve an optimal rotor design for vehicular applications. First, Morris sensitivity analysis is employed to classify the parameters to be optimized into highly and generally sensitive parameters. Subsequently, the Kriging model and NSGA-III algorithm are successively applied to perform hierarchical optimization for the highly sensitive parameters, followed by the generally sensitive parameters. To select the motor structure that best adapts to the vehicle and driving cycle, the efficiency maps of candidate solutions are solved and nested into the vehicle energy management model for optimization. The results demonstrate that the proposed method enables the identification of PMSM structures on the Pareto front that better match the vehicle and driving cycle. Compared with other high-performance solutions, the final optimal point achieves fuel consumption savings of up to 19.1%.
Citation
Zhijia Jin, Cong Liang, Xin Lu, and Jian Chen, "Nested-Level Optimization of a Permanent Magnet Synchronous Motor Embedded in Energy Management for Hybrid Electric Vehicles," Progress In Electromagnetics Research C, Vol. 169, 39-47, 2026.
doi:10.2528/PIERC26022802
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