LEADER 02974nam 2200601z- 450 001 9910404076603321 005 20231214133629.0 010 $a3-03928-549-1 035 $a(CKB)4100000011302372 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/56806 035 $a(EXLCZ)994100000011302372 100 $a20202102d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractice and Innovations in Sustainable Transport 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (118 p.) 311 $a3-03928-548-3 330 $aThe 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. 610 $aadaptive 610 $aelectric vehicle 610 $astate of charge (SOC) 610 $ahigh voltage gain 610 $alithium-ion battery 610 $aclimate change 610 $assustainable transport 610 $adriving cycle 610 $asmart grid 610 $arobust 610 $abattery powered vehicle 610 $aHuber?s M-estimation 610 $aelectric taxi 610 $apublic transportation 610 $asustainable development 610 $aDC-DC converter 610 $asquare root cubature Kalman filter (SRCKF) 610 $acoupled inductor 610 $afuel cell vehicles 610 $acharging approaches 610 $aripple minimization current 610 $avariational Bayesian approximation 610 $aelectric propulsion 610 $aelectric bus 700 $aMuneer$b Tariq$4auth$0786428 702 $aGago$b Eulalia Jadraque$4auth 702 $aGul$b Mehreen Saleem$4auth 906 $aBOOK 912 $a9910404076603321 996 $aPractice and Innovations in Sustainable Transport$93035057 997 $aUNINA