Selection of Induction Machine Models for Efficiency Evaluation in Electric Vehicles
| Autor: | P. M. de la Barrera, Facundo Aguilera, C. H. De Angelo |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Electric Vehicle
Ingeniería de Sistemas y Comunicaciones Engineering business.product_category Losses General Computer Science business.industry medicine.medical_treatment INGENIERÍAS Y TECNOLOGÍAS Single-phase electric power Traction (orthopedics) Automotive engineering Traction motor Induction machine Models Electric vehicle medicine Induction Machine Electrical and Electronic Engineering business Ingeniería Eléctrica Ingeniería Electrónica e Ingeniería de la Información Selection (genetic algorithm) Induction motor Overall efficiency |
| Zdroj: | IEEE Latin America Transactions. 11:334-340 |
| ISSN: | 1548-0992 |
| DOI: | 10.1109/tla.2013.6502826 |
| Popis: | Different induction machine (IM) models are evaluated, with the aim to determine its usefulness in efficiency studies for electric vehicles (EV) traction drives. In particular, two simple IM models proposed in the literature, which take into account the additional losses, are compared. With this aim, model parameters are adjusted from experimental tests performed on a 4 kW IM. Then, results obtained from both models at different operating points are compared. Even when the estimation errors are similar when using both models, one of them is chosen because of its simplicity. Finally, a simple application of this model is proposed, which consists in use the model for obtaining a complete efficiency map of the IM, without need further essays. Such efficiency map can be used to evaluate the overall efficiency of the traction drive of an EV, or in EV design. Fil: Aguilera, Facundo. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: de la Barrera, Pablo Martin. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: de Angelo, Cristian Hernan. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
| Databáze: | OpenAIRE |
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