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Addressing Range Anxiety in Electric Vehicles with Physics-Based Drivetrain Models and an Appropriate Charging Strategy
Vanderbeeken, Romain; Duysinx, Pierre; Toussaint, Yves
2024In Proceedings in Automotive Engineering
Peer reviewed
 

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Keywords :
Electric Vehicles; Eco-Driving; Vehicle Simulation; Drivetrain Modelling; Charging Strategy
Abstract :
[en] The electric vehicles are often associated to the range anxiety phenomenon. In the paper, this is tackled by the elaboration of a set of physicsbased drivetrain models aiming to accurately estimate the energy consumption of a medium class vehicle. After a convincing validation of the model with respect to the VW ID.3 WLTP ratings, some usual driving scenarios are investigated to identify eco-driving tips to help the EV driver optimize the use of its vehicle. The results indicate that a compromise should be found between the aerodynamic drag and the electrical Joule effects. Additionally, few charging loss computations are performed and indicate that it represents between 6 and 12% of the total charging energy.
Disciplines :
Mechanical engineering
Author, co-author :
Vanderbeeken, Romain  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
Duysinx, Pierre  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
Toussaint, Yves ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres
Language :
English
Title :
Addressing Range Anxiety in Electric Vehicles with Physics-Based Drivetrain Models and an Appropriate Charging Strategy
Publication date :
20 November 2024
Event name :
CONAT 2024 International Congress of Automotive and Transport Engineering
Event organizer :
Transilvania University of Brasov, Department of Automotive and Transport Engineering
Event place :
Brasov, Romania
Event date :
November 6-8, 2024
Audience :
International
Main work title :
Proceedings in Automotive Engineering
Publisher :
Springer Nature Switzerland
ISBN/EAN :
978-3-03-177627-4
978-3-03-177626-7
Pages :
28-39
Peer review/Selection committee :
Peer reviewed
Available on ORBi :
since 13 June 2025

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