LEADER 04634nam 2201225z- 450 001 9910557443503321 005 20231214133530.0 035 $a(CKB)5400000000043287 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69427 035 $a(EXLCZ)995400000000043287 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuture Powertrain Technologies 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (266 p.) 311 $a3-03943-753-4 311 $a3-03943-754-2 330 $aAmong the various factors greatly influencing the development process of future powertrain technologies, the trends in climate change and digitalization are of huge public interest. To handle these trends, new disruptive technologies are integrated into the development process. They open up space for diverse research which is distributed over the entire vehicle design process. This book contains recent research articles which incorporate results for selecting and designing powertrain topology in consideration of the vehicle operating strategy as well as results for handling the reliability of new powertrain components. The field of investigation spans from the identification of ecologically optimal transformation of the existent vehicle fleet to the development of machine learning-based operating strategies and the comparison of complex hybrid electric vehicle topologies to reduce CO2 emissions. 606 $aHistory of engineering & technology$2bicssc 610 $adegree of hybridization 610 $aenergy management 610 $ahybrid propulsion 610 $aproton exchange membrane fuel cell 610 $asimulink, supercapacitor 610 $afleet transition 610 $aoptimization 610 $alife-cycle assessment 610 $agreenhouse gas 610 $aglobal warming potential 610 $avehicle powertrain concepts 610 $adedicated hybrid transmission 610 $abenchmarking 610 $ahybrid electric vehicle 610 $aefficiency 610 $atopology optimization 610 $adrive train optimization 610 $apowertrain concepts 610 $astructural reliability 610 $auncertainties 610 $aensemble learning 610 $afault diagnosis 610 $aVFS 610 $aGA 610 $ainput feedforward 610 $afault observation 610 $apressure sensor 610 $aaftermarket hybridization kit 610 $aemissions mitigation 610 $alocal driving cycle 610 $aplug-in hybrid electric vehicles 610 $avehicle efficiency 610 $aplug-in hybrid electric vehicle 610 $aelectromechanical coupling 610 $aelectrified mechanical transmission 610 $amulti-purpose vehicle 610 $amachine learning 610 $apowertrain control 610 $aautomatic re-training 610 $ahybrid electric vehicles 610 $adynamic programming 610 $atransmission 610 $avehicle emissions 610 $aparticle measurement programme (PMP) 610 $aportable emissions measurement systems (PEMS) 610 $avolatile removal efficiency 610 $anon-volatiles 610 $asolid particle number 610 $acatalytic stripper 610 $aevaporation tube 610 $aartefact 610 $aE-Mobility 610 $apowertrain design 610 $ahigh-speed 610 $aelectric machine design 610 $atransmission design 610 $agearbox 610 $aelectric vehicles 610 $arange extenders 610 $azinc-air battery 610 $alithium-ion battery 610 $aelectric vehicle transition 610 $aArrhenius model 610 $alosses 610 $amission profile 610 $ainverter 610 $apowertrain 610 $aRainflow algorithm 610 $areliability 610 $athermal network 610 $aelectric vehicle 615 7$aHistory of engineering & technology 700 $aRinderknecht$b Stephan$4edt$01290019 702 $aJardin$b Philippe$4edt 702 $aEsser$b Arved$4edt 702 $aRinderknecht$b Stephan$4oth 702 $aJardin$b Philippe$4oth 702 $aEsser$b Arved$4oth 906 $aBOOK 912 $a9910557443503321 996 $aFuture Powertrain Technologies$93021305 997 $aUNINA