Future Powertrain Technologies

Among 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 fo...

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Bibliographic Details
Other Authors: Rinderknecht, Stephan (Editor), Jardin, Philippe (Editor), Esser, Arved (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
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Online Access:Get Fullteks
DOAB: description of the publication
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005 20210501
020 |a books978-3-03943-754-2 
020 |a 9783039437535 
020 |a 9783039437542 
024 7 |a 10.3390/books978-3-03943-754-2  |c doi 
041 0 |a English 
042 |a dc 
072 7 |a TBX  |2 bicssc 
100 1 |a Rinderknecht, Stephan  |4 edt 
700 1 |a Jardin, Philippe  |4 edt 
700 1 |a Esser, Arved  |4 edt 
700 1 |a Rinderknecht, Stephan  |4 oth 
700 1 |a Jardin, Philippe  |4 oth 
700 1 |a Esser, Arved  |4 oth 
245 1 0 |a Future Powertrain Technologies 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (266 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Among 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a degree of hybridization 
653 |a energy management 
653 |a hybrid propulsion 
653 |a proton exchange membrane fuel cell 
653 |a simulink, supercapacitor 
653 |a fleet transition 
653 |a optimization 
653 |a life-cycle assessment 
653 |a greenhouse gas 
653 |a global warming potential 
653 |a vehicle powertrain concepts 
653 |a dedicated hybrid transmission 
653 |a benchmarking 
653 |a hybrid electric vehicle 
653 |a efficiency 
653 |a topology optimization 
653 |a drive train optimization 
653 |a powertrain concepts 
653 |a structural reliability 
653 |a uncertainties 
653 |a ensemble learning 
653 |a fault diagnosis 
653 |a VFS 
653 |a GA 
653 |a input feedforward 
653 |a fault observation 
653 |a pressure sensor 
653 |a aftermarket hybridization kit 
653 |a emissions mitigation 
653 |a local driving cycle 
653 |a plug-in hybrid electric vehicles 
653 |a vehicle efficiency 
653 |a plug-in hybrid electric vehicle 
653 |a electromechanical coupling 
653 |a electrified mechanical transmission 
653 |a multi-purpose vehicle 
653 |a machine learning 
653 |a powertrain control 
653 |a automatic re-training 
653 |a hybrid electric vehicles 
653 |a dynamic programming 
653 |a transmission 
653 |a vehicle emissions 
653 |a particle measurement programme (PMP) 
653 |a portable emissions measurement systems (PEMS) 
653 |a volatile removal efficiency 
653 |a non-volatiles 
653 |a solid particle number 
653 |a catalytic stripper 
653 |a evaporation tube 
653 |a artefact 
653 |a E-Mobility 
653 |a powertrain design 
653 |a high-speed 
653 |a electric machine design 
653 |a transmission design 
653 |a gearbox 
653 |a electric vehicles 
653 |a range extenders 
653 |a zinc-air battery 
653 |a lithium-ion battery 
653 |a electric vehicle transition 
653 |a Arrhenius model 
653 |a losses 
653 |a mission profile 
653 |a inverter 
653 |a powertrain 
653 |a Rainflow algorithm 
653 |a reliability 
653 |a thermal network 
653 |a electric vehicle 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/3229  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/69427  |7 0  |z DOAB: description of the publication