Improving the Efficiency of Drive Trains Used in Electric Vehicles by Means of Optimal Modulation

The efficiency of drive trains used in electric vehicles is affected by the employed modulation scheme. This paper proposes an optimal modulation approach, in the form of optimized pulse patterns (OPPs), that limits the converter and winding losses in the machine while minimizing the stator current harmonic distortions. To do so, the OPP problem is reformulated such that the aforementioned losses are constrained. As shown with the presented numerical results, by setting different constraints to the system losses a better trade-off between stator current harmonics and losses is achieved compared with conventional modulation solutions, resulting in increased system efficiency.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/ecceeurope62508.2024.10751931
Primary Topic
Electric Power Systems and Control
Type
article
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article

Improving the Efficiency of Drive Trains Used in Electric Vehicles by Means of Optimal Modulation

Πέτρος Καραμανάκος, Eleftherios Kontodinas, Sebastian Wendel, Andreas Kraemer
Electric Power Systems and Control
article

Improving the Efficiency of Drive Trains Used in Electric Vehicles by Means of Optimal Modulation

Πέτρος Καραμανάκος, Eleftherios Kontodinas, Sebastian Wendel, Andreas Kraemer
article en

Abstract

The efficiency of drive trains used in electric vehicles is affected by the employed modulation scheme. This paper proposes an optimal modulation approach, in the form of optimized pulse patterns (OPPs), that limits the converter and winding losses in the machine while minimizing the stator current harmonic distortions. To do so, the OPP problem is reformulated such that the aforementioned losses are constrained. As shown with the presented numerical results, by setting different constraints to the system losses a better trade-off between stator current harmonics and losses is achieved compared with conventional modulation solutions, resulting in increased system efficiency.

Tampere University (FI), ZF Friedrichshafen (Germany) (DE)
Affordable and clean energy
Openalex Percentile: Top 81%
Electric Power Systems and Control
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