Impact of Road Gradient on Electric Vehicle Energy Consumption in Real-World Driving

Autor: Farouk Kamoun, Insaf Sagaama, Wassim Trojet, Amine Kchiche
Přispěvatelé: Centre de Recherche Réseau Image SysTème Architecture et MuLtimédia (CRISTAL), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Pôle Instrumentation, Informatique et Systèmes, Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Advanced Information Networking and Applications
Advanced Information Networking and Applications, pp.393-404, 2020, ⟨10.1007/978-3-030-44041-1_36⟩
Advanced Information Networking and Applications ISBN: 9783030440404
AINA
DOI: 10.1007/978-3-030-44041-1_36⟩
Popis: With serious concerns on environmental problems related to CO\(_{2}\) emissions and energy crisis, special attention has recently been paid to Electric Vehicles (EVs). Specifically, an accurate estimation of energy consumption for EV is still a big issue. Therefore, quantifying the impact of various external factors on EV energy consumption, such as road topology, driver profile and traffic conditions is a necessity. In this paper, we review the energy consumption models for EVs. Then, we analyze the impact of the road gradient on EV energy consumption through a set of real world experimentations. The obtained results, allow us to better understand the impact of upward and downward gradient on both energy consumption and energy recuperation processes.
Databáze: OpenAIRE