RT info:eu-repo/semantics/conferenceObject
T1 Optimization of the powertrain of electric vehicles for a given route
A1 Luque Rodríguez, Pablo
A1 Álvarez Mántaras, Daniel
A1 Roces García, Jorge
A1 Castejón Herrer, Luis
A1 Malón Litago, Hugo
K1 Vehículos eléctricos
K1 Electric vehicles
K1 Formas de movilidad
K1 Means of mobility
K1 Ingeniería civil
K1 Civil engineering
K1 Transporte
K1 Transportation
AB The global challenge to reduce emissions of polluting gases and greenhouse gases has forcedthe development of alternatives to the traditional internal combustion engine vehicles, suchas electric or hybrid vehicles.The electric powertrain are the most efficient for delivery trucks or urban buses, due toacceleration and deceleration patterns make them inefficient for using internal combustionengines. Despite this, its range and purchase cost are the main factors limiting the use ofelectric vehicles in these applications.Range and purchase cost of an electric vehicles are mainly related to the energy storagesystem. Therefore, the optimum size of the battery pack should be considered as the designgoal of a vehicle when its application is known.This paper presents a methodology to optimize the battery pack of an electric vehicleaccording to a given route run in a target time. Therefore, it would be applicable to deliveryvehicles, buses and any vehicle whose route and travel time are known in advance. Theproposed methodology allows minimizing the energy consumption by determining theoptimal powertrain ratio for a given track, setting the travel time as an objective. A fullvehicle model and a multi-objective genetic algorithms are used for this matter.
PB Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
SN 978-84-18465-12-3
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/6964
UL http://hdl.handle.net/10259/6964
LA eng
NO Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
NO This work was supported by the University Institute of Industrial Technology of Asturias (IUTA).
DS Repositorio Institucional de la Universidad de Burgos
RD 28-abr-2024