Impact of Road Gradient on Electric Vehicle Energy Consumption in Real-World Driving
Autor: | Farouk Kamoun, Insaf Sagaama, Wassim Trojet, Amine Kchiche |
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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: |
050210 logistics & transportation
business.product_category Computer science 020209 energy 05 social sciences Traffic simulation 02 engineering and technology Energy consumption 7. Clean energy [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Automotive engineering [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 13. Climate action 0502 economics and business Electric vehicle 0202 electrical engineering electronic engineering information engineering [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET] business Energy (signal processing) ComputingMilieux_MISCELLANEOUS Efficient energy use |
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 |
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