TY  - GEN
AU  - VAN Mierlo,Joeri
TI  - Plug-in Hybrid Electric Vehicle (PHEV)
SN  - books978-3-03921-454-9
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - hybrid energy storage system
KW  - plug-in hybrid electric vehicle
KW  - Li-ion battery
KW  - emerging electric machines
KW  - lithium-ion capacitor
KW  - electric vehicles (EVs)
KW  - efficient energy management strategies for hybrid propulsion systems
KW  - plug-in hybrid
KW  - attributional
KW  - electric vehicle
KW  - energy system
KW  - energy efficiency
KW  - modified one-state hysteresis model
KW  - air quality
KW  - adaptive neuron-fuzzy inference system (ANFIS)
KW  - Markov decision process (MDP)
KW  - simulated annealing
KW  - Paris Agreement
KW  - mobility needs
KW  - interleaved multiport converte
KW  - dynamic programming
KW  - state of health estimation
KW  - strong track filter
KW  - LCA
KW  - modelling
KW  - consequential
KW  - losses model
KW  - voltage vector distribution
KW  - parallel hybrid electric vehicle
KW  - electricity mix
KW  - time-delay input
KW  - convex optimization
KW  - lifetime model
KW  - artificial neural network (ANN)
KW  - Li(Ni1/3Co1/3Mn1/3)O2 battery
KW  - battery power
KW  - CO2
KW  - capacity degradation
KW  - regenerative braking
KW  - open-end winding
KW  - novel propulsion systems
KW  - group method of data handling (GMDH)
KW  - state of charge
KW  - Well-to-Wheel
KW  - energy storage systems
KW  - including wide bandgap (WBG) technology
KW  - wide bandgap (WBG) technologies
KW  - marginal
KW  - lithium polymer battery
KW  - life-cycle assessment (LCA)
KW  - energy management
KW  - dual inverter
KW  - lithium-ion battery
KW  - measurements
KW  - plug-in hybrid electric vehicles (PHEVs)
KW  - emerging power electronics
KW  - Q-learning (QL)
KW  - fuel consumption characteristics
KW  - Plugin Hybrid electric vehicle
KW  - Energy Storage systems
KW  - meta-analysis
KW  - range-extender
KW  - engine-on power
KW  - reinforcement learning (RL)
KW  - multi-objective genetic algorithm
KW  - power sharing
KW  - energy management strategy
KW  - power distribution
KW  - hybrid electric vehicles
KW  - system modelling
N1  - Open Access
N2  - Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on "Plug-In Hybrid Electric Vehicles (PHEVs)". This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems
UR  - https://mdpi.com/books/pdfview/book/1519
UR  - https://directory.doabooks.org/handle/20.500.12854/56419
ER  -