In-Slot Oil Cooling Arrangement of Hairpin Windings for High Power Density EV Traction Motors

Ambitious electrification roadmaps for the automotive industry have prompted a revolution in winding technology for traction motors in electric vehicles (EV). Hairpin windings with reduced power losses and improved coolability are overtaking the market compared with stranded windings. Currently, most hairpin winding solutions use state-of-the-art end winding cooling strategies. This, however, still cannot bridge the gap for high performance requirements, so supplementary in-slot cooling is needed to make the next step change in achieving high power density. This paper will investigate direct in-slot cooling of hairpin windings with a focus on cooling channel arrangement. A novel analytical parametric Lumped Parameter Thermal Network modelling methodology is developed to choose the thermally optimal in-slot cooling channel radial position for a 150kW high speed traction motor. Two operating points (corner and peak speed) on the peak torque-speed curve are studied to investigate how machine losses influence the choice of the optimal cooling channel position. Changing loss distributions showed an optimal middle channel position for the corner speed and shift towards the airgap at peak speed. A typical slot-opening channel position was shown to reduce hotspot temperatures by 23 K compared with a no-in-slot cooling benchmark, for the most thermally challenging operating point. A further 8 K reduction is achieved, compared to the benchmark, for the most thermally challenging operating condition, when a central cooling channel position is chosen. The novelty of this paper is the multiphysics electromagnetic and thermal modelling methodology integration which the trade-off between losses and temperatures, as impacted by a changing channel position, capture. An FEA model was built to validate the LPTN results for the benchmark case; the temperature rise between the hotspot slot peak and the oil inlet temperature, was predicted within 5%.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vppc63154.2024.10755199
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.20

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article

In-Slot Oil Cooling Arrangement of Hairpin Windings for High Power Density EV Traction Motors

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1 citations
Electric and Hybrid Vehicle Technologies
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article

In-Slot Oil Cooling Arrangement of Hairpin Windings for High Power Density EV Traction Motors

G. R. Batho, Oliver Tweedy, Xiang Ren, Hailin Huang, Tianjie Zou, Peter H. Connor, Adam Walker, Chris Gerada, Christian Egger, Liam Portanier Mifsud
article en
1 citations

Abstract

Ambitious electrification roadmaps for the automotive industry have prompted a revolution in winding technology for traction motors in electric vehicles (EV). Hairpin windings with reduced power losses and improved coolability are overtaking the market compared with stranded windings. Currently, most hairpin winding solutions use state-of-the-art end winding cooling strategies. This, however, still cannot bridge the gap for high performance requirements, so supplementary in-slot cooling is needed to make the next step change in achieving high power density. This paper will investigate direct in-slot cooling of hairpin windings with a focus on cooling channel arrangement. A novel analytical parametric Lumped Parameter Thermal Network modelling methodology is developed to choose the thermally optimal in-slot cooling channel radial position for a 150kW high speed traction motor. Two operating points (corner and peak speed) on the peak torque-speed curve are studied to investigate how machine losses influence the choice of the optimal cooling channel position. Changing loss distributions showed an optimal middle channel position for the corner speed and shift towards the airgap at peak speed. A typical slot-opening channel position was shown to reduce hotspot temperatures by 23 K compared with a no-in-slot cooling benchmark, for the most thermally challenging operating point. A further 8 K reduction is achieved, compared to the benchmark, for the most thermally challenging operating condition, when a central cooling channel position is chosen. The novelty of this paper is the multiphysics electromagnetic and thermal modelling methodology integration which the trade-off between losses and temperatures, as impacted by a changing channel position, capture. An FEA model was built to validate the LPTN results for the benchmark case; the temperature rise between the hotspot slot peak and the oil inlet temperature, was predicted within 5%.

University of Nottingham (GB), Robert Bosch (Germany) (DE)
Robert Bosch
Affordable and clean energy
Openalex Percentile: Top 48%
Electric and Hybrid Vehicle Technologies
0.20
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