Nowadays, due to different pollution factors, the electric vehicle is considered as a solution for the energy and environmental crisis, but it has not yet managed to outperform internal combustion vehicles due to limited energy density, therefore, it is necessary to study in which parts of the electric vehicle the greatest losses of powers occur to find the most optimal points of operation of the EV, which opens up possibilities to raise energy optimization issues and thus try to obtain greater efficiency and autonomy, this paper presents a methodology for the analysis of energy efficiency in electric vehicles (EV). To obtain a measurement of the real power in the wheels, a MAHA LPS 3000 dynamometer bank was used. In addition, a data acquisition system (DAS) that records different variables necessary for the analysis obtained directly from the ECU through the on-board diagnostic port (OBD), according to the analysis performed, it is concluded that the power losses are not a function of the value of the state of charge (SOC), the results of the calculated losses and the analysis in measurements are detailed in power curves for different systems (electric motor, inverter and mechanical transmission). Finally, efficiency curves are presented, showing the optimum operating points of each component analysed.
|Título de la publicación alojada||Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020|
|Editorial||Institute of Electrical and Electronics Engineers Inc.|
|Número de páginas||6|
|ISBN (versión digital)||9781728157542|
|ISBN (versión impresa)||9781728157542|
|Estado||Publicada - feb. 2020|
|Evento||21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina|
Duración: 26 feb. 2020 → 28 feb. 2020
Serie de la publicación
|Nombre||Proceedings of the IEEE International Conference on Industrial Technology|
|Conferencia||21st IEEE International Conference on Industrial Technology, ICIT 2020|
|Período||26/02/20 → 28/02/20|
Nota bibliográficaPublisher Copyright:
© 2020 IEEE.