High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications

This paper presents a high-fidelity lumped-parameter (LP) thermal model (HF-LPTM) for permanent magnet synchronous machines (PMSMs) in electric vehicle (EV) applications, where various cooling techniques are considered, including frame forced air/liquid cooling, oil jet cooling for end-winding, and...

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Main Authors: Dawei Liang, Zi Qiang Zhu, Ankan Dey
Format: Article
Language:English
Published: China Electrotechnical Society 2025-03-01
Series:CES Transactions on Electrical Machines and Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10857835
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author Dawei Liang
Zi Qiang Zhu
Ankan Dey
author_facet Dawei Liang
Zi Qiang Zhu
Ankan Dey
author_sort Dawei Liang
collection DOAJ
description This paper presents a high-fidelity lumped-parameter (LP) thermal model (HF-LPTM) for permanent magnet synchronous machines (PMSMs) in electric vehicle (EV) applications, where various cooling techniques are considered, including frame forced air/liquid cooling, oil jet cooling for end-winding, and rotor shaft cooling. To address the temperature misestimation in the LP thermal modelling due to assumptions of concentrated loss input and uniform heat flows, the developed HF-LPTM introduces two compensation thermal resistances for the winding and PM components, which are analytically derived from the multidimensional heat transfer equations and are robust against different load/thermal conditions. As validated by the finite element analysis method and experiments, the conventional LPTMs exhibit significant winding temperature deviations, while the proposed HF-LPTM can accurately predict both the midpoint and average temperatures. The developed HF-LPTM is further used to assess the effectiveness of various cooling techniques under different scenarios, i.e., steady-state thermal states under the rated load condition, and transient temperature profiles under city, freeway, and hybrid (city + freeway) driving cycles. Results indicate that no single cooling technique can maintain both winding and PM temperatures within safety limits. The combination of frame liquid cooling and oil jet cooling for end winding can sufficiently mitigate PMSM thermal stress in EV applications.
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publishDate 2025-03-01
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series CES Transactions on Electrical Machines and Systems
spelling doaj-art-bce8ce85b15e454f803bfbc86b9286b92025-08-20T01:51:23ZengChina Electrotechnical SocietyCES Transactions on Electrical Machines and Systems2096-35642837-03252025-03-019111410.30941/CESTEMS.2025.00001High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV ApplicationsDawei Liang0https://orcid.org/0000-0002-1574-9810Zi Qiang Zhu1https://orcid.org/0000-0001-7175-3307Ankan Dey2School of Electrical and Electronic Engineering, University of Sheffieldthe School of Electrical and Electronic Engineering, University of Sheffieldthe School of Electrical and Electronic Engineering, University of SheffieldThis paper presents a high-fidelity lumped-parameter (LP) thermal model (HF-LPTM) for permanent magnet synchronous machines (PMSMs) in electric vehicle (EV) applications, where various cooling techniques are considered, including frame forced air/liquid cooling, oil jet cooling for end-winding, and rotor shaft cooling. To address the temperature misestimation in the LP thermal modelling due to assumptions of concentrated loss input and uniform heat flows, the developed HF-LPTM introduces two compensation thermal resistances for the winding and PM components, which are analytically derived from the multidimensional heat transfer equations and are robust against different load/thermal conditions. As validated by the finite element analysis method and experiments, the conventional LPTMs exhibit significant winding temperature deviations, while the proposed HF-LPTM can accurately predict both the midpoint and average temperatures. The developed HF-LPTM is further used to assess the effectiveness of various cooling techniques under different scenarios, i.e., steady-state thermal states under the rated load condition, and transient temperature profiles under city, freeway, and hybrid (city + freeway) driving cycles. Results indicate that no single cooling technique can maintain both winding and PM temperatures within safety limits. The combination of frame liquid cooling and oil jet cooling for end winding can sufficiently mitigate PMSM thermal stress in EV applications.https://ieeexplore.ieee.org/document/10857835cooling techniqueselectric vehiclelumped-parameter thermal modelpermanent magnet synchronous machinesthermal analysisthermal management
spellingShingle Dawei Liang
Zi Qiang Zhu
Ankan Dey
High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
CES Transactions on Electrical Machines and Systems
cooling techniques
electric vehicle
lumped-parameter thermal model
permanent magnet synchronous machines
thermal analysis
thermal management
title High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
title_full High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
title_fullStr High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
title_full_unstemmed High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
title_short High-Fidelity Lumped-Parameter Thermal Models for Assessing Cooling Techniques of PMSMs in EV Applications
title_sort high fidelity lumped parameter thermal models for assessing cooling techniques of pmsms in ev applications
topic cooling techniques
electric vehicle
lumped-parameter thermal model
permanent magnet synchronous machines
thermal analysis
thermal management
url https://ieeexplore.ieee.org/document/10857835
work_keys_str_mv AT daweiliang highfidelitylumpedparameterthermalmodelsforassessingcoolingtechniquesofpmsmsinevapplications
AT ziqiangzhu highfidelitylumpedparameterthermalmodelsforassessingcoolingtechniquesofpmsmsinevapplications
AT ankandey highfidelitylumpedparameterthermalmodelsforassessingcoolingtechniquesofpmsmsinevapplications