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Communication Dans Un Congrès Année : 2022

Fast Computational Dynamic Model of Traction Drive for Electric Vehicles

Résumé

To reduce the time-to-market of electric vehicles, fast and accurate energetic simulations are needed. This paper aims to propose a fast computational dynamic model that allows a good compromise between accuracy and computation time while respecting the dynamics of the system. Its accuracy and computation time are evaluated compared to conventional static and dynamic models. The results show that the proposed dynamic model estimates the same energy consumption as the traditional dynamic model for a computation time 85 times faster. The computation time of the static model is four times faster than the proposed model, but the accuracy is reduced.
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Dates et versions

hal-03872463 , version 1 (25-11-2022)

Identifiants

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Anatole Desreveaux, Eric Labouré, Olivier Béthoux, Clement Mayet, Alessio Iovine, et al.. Fast Computational Dynamic Model of Traction Drive for Electric Vehicles. 2022 IEEE Vehicle Power and Propulsion Conference (VPPC 2022), Nov 2022, Merced, United States. ⟨10.1109/VPPC55846.2022.10003383⟩. ⟨hal-03872463⟩
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