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Design and validation of a tool for prognosis of the energy consumption and performance in electric vehicles

Abstract: This work develops a software tool to calculate and predict the energy consumption of an electric vehicle (EV) for any desired route. The software tool is based on a mathematical model of an electric vehicle, which relates the energy consumption of the vehicle with factors such as the speed and the terrain slope. In addition, factors such as driving style, weather conditions and traffic congestion can be taken into account. The model has been validated with real data from an electric vehicle. On the other hand, this work proposes a methodology to use this tool with any other EV, as long as its basic characteristics are known. The results obtained in this work are applied in automated testing systems, specific for EV storage systems at laboratory level. The main advantage lies in the use of more realistic power profiles than those commonly used and proposed in the specialized literature (eg, FUDS). In addition, the proposed methodology can be applied to any EV, in different scenarios of orography, traffic, climatology, etc.

 Autoría: Del Valle J., Viera J., Anseán D., Brañas C., Luque P., Mántaras D., Pulido Y.,

 Congreso: Congreso de Ingeniería del Transporte: CIT (13ª : 2018 : Gijón)

Editorial: Elsevier

 Año de publicación: 2018

Nº de páginas: 8

Tipo de publicación: Comunicación a Congreso

DOI: 10.1016/j.trpro.2018.10.073

ISSN: 2352-1465,2352-1457

Proyecto español: TEC2016-80700-R

Url de la publicación: https://doi.org/10.1016/j.trpro.2018.10.073

Autores/as

ALONSO DEL VALLE, JORGE

VIERA PÉREZ, JUAN CARLOS

ANSEÁN GONZÁLEZ, DAVID

PABLO LUQUE RODRIGUEZ

ÁLVAREZ MÁNTARAS, DANIEL

FERNÁNDEZ PULIDO, YOANA