Selection of mother wavelet and decomposition level for energy management in electrical vehicles including a fuel cell
Affiliation auteurs | !!!! Error affiliation !!!! |
Titre | Selection of mother wavelet and decomposition level for energy management in electrical vehicles including a fuel cell |
Type de publication | Journal Article |
Year of Publication | 2015 |
Auteurs | Ibrahim M, Jemei S, Wimmer G, Steiner NYousfi, Kokonendji CC, Hissel D |
Journal | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY |
Volume | 40 |
Pagination | 15823-15833 |
Date Published | DEC 7 |
Type of Article | Article |
ISSN | 0360-3199 |
Mots-clés | Electric vehicle, Energy management, optimization algorithms, Power sources, Wavelet Transform |
Résumé | The Wavelet Transform (WT) is a mathematical method used to represent a given signal in different scales. This method is also used to extract the different frequency bands (or different frequency components) from a signal. In this paper, wavelet transform in the domain of energy management of Electrical Vehicles (EV) is considered. A method for choosing the mother wavelet and the decomposition level will be presented. Taking into account the damages caused by the extreme variations of the power demand on the power sources, this paper shows how Wavelet Transform can help eliminating this negative impact. Copyright (C) 2015, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved. |
DOI | 10.1016/j.ijhydene.2015.06.055 |