The rapid electrification of transportation demands compact, high-power-density low-voltage electric machines (EMs), whose winding insulation life limits safety and uptime. Conventional Arrhenius models consider only thermal-chemical aging and often neglect thermal-mechanical (T-M) fatigue resulting from frequent temperature cycling in vehicle duty cycles. Based on mathematical derivation and previous physical models, this article proposed a unified temperature-cycling life model that couples Arrhenius T-C terms with a phenomenological T-M fatigue term driven by cycle amplitude and mean temperature. The life model's parameters are tuned using experimental data collected during accelerated temperature profiles (TPs) cycling tests performed on motorette specimens, while the life model is validated across different TPs. The predicted life outcomes demonstrate higher computational efficiency and yield more conservative results compared to the physical model simulations. As proof of concept, the proposed model is employed at the design stage of an EM meant for automotive applications, in order to achieve a mission profile-based reliability-oriented design. Meanwhile, a real-time life consumption methodology, employing online cycle counting, is implemented to facilitate continuous reliability assessment and monitoring. This integrated approach establishes a systematic framework for evaluating and managing the reliability of EM insulation systems, thereby enhancing the methodological foundation for life prediction under realistic and dynamically varying operating conditions.
(2026). Temperature Cycling Life Prediction of Low-Voltage Transportation Electric Machines Winding: From Lifetime Model Proposal to Applications [journal article - articolo]. In IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION. Retrieved from https://hdl.handle.net/10446/325145
Temperature Cycling Life Prediction of Low-Voltage Transportation Electric Machines Winding: From Lifetime Model Proposal to Applications
Giangrande, Paolo;
2026-01-01
Abstract
The rapid electrification of transportation demands compact, high-power-density low-voltage electric machines (EMs), whose winding insulation life limits safety and uptime. Conventional Arrhenius models consider only thermal-chemical aging and often neglect thermal-mechanical (T-M) fatigue resulting from frequent temperature cycling in vehicle duty cycles. Based on mathematical derivation and previous physical models, this article proposed a unified temperature-cycling life model that couples Arrhenius T-C terms with a phenomenological T-M fatigue term driven by cycle amplitude and mean temperature. The life model's parameters are tuned using experimental data collected during accelerated temperature profiles (TPs) cycling tests performed on motorette specimens, while the life model is validated across different TPs. The predicted life outcomes demonstrate higher computational efficiency and yield more conservative results compared to the physical model simulations. As proof of concept, the proposed model is employed at the design stage of an EM meant for automotive applications, in order to achieve a mission profile-based reliability-oriented design. Meanwhile, a real-time life consumption methodology, employing online cycle counting, is implemented to facilitate continuous reliability assessment and monitoring. This integrated approach establishes a systematic framework for evaluating and managing the reliability of EM insulation systems, thereby enhancing the methodological foundation for life prediction under realistic and dynamically varying operating conditions.| File | Dimensione del file | Formato | |
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