Reprint
Future Powertrain Technologies
Edited by
December 2020
264 pages
- ISBN978-3-03943-753-5 (Hardback)
- ISBN978-3-03943-754-2 (PDF)
This book is a reprint of the Special Issue Future Powertrain Technologies that was published in
Engineering
Summary
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.
Format
- Hardback
License
© 2021 by the authors; CC BY-NC-ND license
Keywords
degree of hybridization; energy management; hybrid propulsion; proton exchange membrane fuel cell; simulink, supercapacitor; fleet transition; optimization; life-cycle assessment; greenhouse gas; global warming potential; vehicle powertrain concepts; dedicated hybrid transmission; benchmarking; hybrid electric vehicle; efficiency; topology optimization; drive train optimization; powertrain concepts; structural reliability; uncertainties; ensemble learning; fault diagnosis; VFS; GA; input feedforward; fault observation; pressure sensor; aftermarket hybridization kit; emissions mitigation; local driving cycle; plug-in hybrid electric vehicles; vehicle efficiency; hybrid electric vehicle; plug-in hybrid electric vehicle; electromechanical coupling; dedicated hybrid transmission; electrified mechanical transmission; multi-purpose vehicle; machine learning; powertrain control; automatic re-training; hybrid electric vehicles; dynamic programming; transmission; energy management; vehicle emissions; particle measurement programme (PMP); portable emissions measurement systems (PEMS); volatile removal efficiency; non-volatiles; solid particle number; catalytic stripper; evaporation tube; artefact; E-Mobility; powertrain design; high-speed; electric machine design; transmission design; gearbox; electric vehicles; range extenders; powertrain design; zinc–air battery; lithium-ion battery; electric vehicle transition; Arrhenius model; losses; mission profile; inverter; powertrain; Rainflow algorithm; reliability; thermal network; electric vehicle; n/a