An Adaptive Control Strategy for Minimizing Losses in EV Traction Systems Under Variable Speed Demands

With growing global concerns about energy issues and the increasing demand for Electric Vehicles (EVs), improving the system-level efficiency of EV traction systems has become more critical. This paper analyzes the overall losses and efficiency of an Electric Vehicle (EV) traction system within the rated speed range across different switching frequencies and explores how switching frequency and current quality affect the losses in the Interior Permanent Magnet Synchronous Motor (IPMSM) and the inverter. To minimize system losses, an adaptive switching frequency control strategy is proposed based on the conventional speed-current dual PI controller. This approach dynamically adjusts the controller parameter, i.e. the switching frequency, in real-time according to varying speed demands, while also limiting torque ripple. Simulation results confirm the effectiveness of the proposed control method.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/dmc62632.2024.10812141
Citations
4
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.81
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article

An Adaptive Control Strategy for Minimizing Losses in EV Traction Systems Under Variable Speed Demands

Huai Wang, Mateja Novak, Subham Sahoo, Ying He
4 citations
Electric and Hybrid Vehicle Technologies
0.81
article

An Adaptive Control Strategy for Minimizing Losses in EV Traction Systems Under Variable Speed Demands

Huai Wang, Mateja Novak, Subham Sahoo, Ying He
article en
4 citations

Abstract

With growing global concerns about energy issues and the increasing demand for Electric Vehicles (EVs), improving the system-level efficiency of EV traction systems has become more critical. This paper analyzes the overall losses and efficiency of an Electric Vehicle (EV) traction system within the rated speed range across different switching frequencies and explores how switching frequency and current quality affect the losses in the Interior Permanent Magnet Synchronous Motor (IPMSM) and the inverter. To minimize system losses, an adaptive switching frequency control strategy is proposed based on the conventional speed-current dual PI controller. This approach dynamically adjusts the controller parameter, i.e. the switching frequency, in real-time according to varying speed demands, while also limiting torque ripple. Simulation results confirm the effectiveness of the proposed control method.

Aalborg University (DK)
Affordable and clean energy
Openalex Percentile: Top 27%
Electric and Hybrid Vehicle Technologies
0.81
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