TY  - GEN
AU  - Rinderknecht,Stephan
AU  - Jardin,Philippe
AU  - Esser,Arved
AU  - Rinderknecht,Stephan
AU  - Jardin,Philippe
AU  - Esser,Arved
TI  - Future Powertrain Technologies
SN  - books978-3-03943-754-2
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - degree of hybridization
KW  - energy management
KW  - hybrid propulsion
KW  - proton exchange membrane fuel cell
KW  - simulink, supercapacitor
KW  - fleet transition
KW  - optimization
KW  - life-cycle assessment
KW  - greenhouse gas
KW  - global warming potential
KW  - vehicle powertrain concepts
KW  - dedicated hybrid transmission
KW  - benchmarking
KW  - hybrid electric vehicle
KW  - efficiency
KW  - topology optimization
KW  - drive train optimization
KW  - powertrain concepts
KW  - structural reliability
KW  - uncertainties
KW  - ensemble learning
KW  - fault diagnosis
KW  - VFS
KW  - GA
KW  - input feedforward
KW  - fault observation
KW  - pressure sensor
KW  - aftermarket hybridization kit
KW  - emissions mitigation
KW  - local driving cycle
KW  - plug-in hybrid electric vehicles
KW  - vehicle efficiency
KW  - plug-in hybrid electric vehicle
KW  - electromechanical coupling
KW  - electrified mechanical transmission
KW  - multi-purpose vehicle
KW  - machine learning
KW  - powertrain control
KW  - automatic re-training
KW  - hybrid electric vehicles
KW  - dynamic programming
KW  - transmission
KW  - vehicle emissions
KW  - particle measurement programme (PMP)
KW  - portable emissions measurement systems (PEMS)
KW  - volatile removal efficiency
KW  - non-volatiles
KW  - solid particle number
KW  - catalytic stripper
KW  - evaporation tube
KW  - artefact
KW  - E-Mobility
KW  - powertrain design
KW  - high-speed
KW  - electric machine design
KW  - transmission design
KW  - gearbox
KW  - electric vehicles
KW  - range extenders
KW  - zinc-air battery
KW  - lithium-ion battery
KW  - electric vehicle transition
KW  - Arrhenius model
KW  - losses
KW  - mission profile
KW  - inverter
KW  - powertrain
KW  - Rainflow algorithm
KW  - reliability
KW  - thermal network
KW  - electric vehicle
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/3229
UR  - https://directory.doabooks.org/handle/20.500.12854/69427
ER  -