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dc.contributor.authorMuneer, Tariq*
dc.contributor.authorGago, Eulalia Jadraque*
dc.contributor.authorGul, Mehreen Saleem*
dc.date.accessioned2021-02-11T23:39:45Z
dc.date.available2021-02-11T23:39:45Z
dc.date.issued2020*
dc.date.submitted2020-06-09 16:38:57*
dc.identifier46140*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/56806
dc.description.abstractThe book continues with an experimental analysis conducted to obtain accurate and complete information about electric vehicles in different traffic situations and road conditions. For the experimental analysis in this study, three different electric vehicles from the Edinburgh College leasing program were equipped and tracked to obtain over 50 GPS and energy consumption data for short distance journeys in the Edinburgh area and long-range tests between Edinburgh and Bristol. In the following section, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber’s M-estimation is proposed to accurately estimate state of charge (SOC), which is vital for safe operation and efficient management of lithium-ion batteries. A coupled-inductor DC-DC converter with a high voltage gain is proposed in the following section to match the voltage of a fuel cell stack to a DC link bus. Finally, the book presents a review of the different approaches that have been proposed by various authors to mitigate the impact of electric buses and electric taxis on the future smart grid.*
dc.languageEnglish*
dc.subjectQ1-390*
dc.subjectQC1-999*
dc.subject.otheradaptive*
dc.subject.otherelectric vehicle*
dc.subject.otherstate of charge (SOC)*
dc.subject.otherhigh voltage gain*
dc.subject.otherlithium-ion battery*
dc.subject.otherclimate change*
dc.subject.otherssustainable transport*
dc.subject.otherdriving cycle*
dc.subject.othersmart grid*
dc.subject.otherrobust*
dc.subject.otherbattery powered vehicle*
dc.subject.otherHuber’s M-estimation*
dc.subject.otherelectric taxi*
dc.subject.otherpublic transportation*
dc.subject.othersustainable development*
dc.subject.otherDC-DC converter*
dc.subject.othersquare root cubature Kalman filter (SRCKF)*
dc.subject.othercoupled inductor*
dc.subject.otherfuel cell vehicles*
dc.subject.othercharging approaches*
dc.subject.otherripple minimization current*
dc.subject.othervariational Bayesian approximation*
dc.subject.otherelectric propulsion*
dc.subject.otherelectric bus*
dc.titlePractice and Innovations in Sustainable Transport*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03928-549-5*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
virtual.oapen_relation_isPublishedBy.publisher_nameMDPI - Multidisciplinary Digital Publishing Institute
virtual.oapen_relation_isPublishedBy.publisher_websitewww.mdpi.com/books
oapen.relation.isbn9783039285488*
oapen.relation.isbn9783039285495*
oapen.pages118*
oapen.edition1st*


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/