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Plug-in Hybrid Electric Vehicle (PHEV)

Plug-in Hybrid Electric Vehicle (PHEV)

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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.

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Keywords

  • adaptive neuron-fuzzy inference system (ANFIS)
  • Air quality
  • artificial neural network (ANN)
  • attributional
  • battery power
  • capacity degradation
  • CO2
  • consequential
  • convex optimization
  • dual inverter
  • Dynamic programming
  • efficient energy management strategies for hybrid propulsion systems
  • electric vehicle
  • electric vehicles (EVs)
  • electricity mix
  • emerging electric machines
  • emerging power electronics
  • Energy Efficiency
  • energy management
  • energy management strategy
  • Energy Storage systems
  • energy system
  • engine-on power
  • fuel consumption characteristics
  • group method of data handling (GMDH)
  • History of engineering & technology
  • Hybrid electric vehicles
  • hybrid energy storage system
  • including wide bandgap (WBG) technology
  • interleaved multiport converte
  • LCA
  • Li(Ni1/3Co1/3Mn1/3)O2 battery
  • Li-ion battery
  • life-cycle assessment (LCA)
  • lifetime model
  • lithium polymer battery
  • lithium-ion battery
  • lithium-ion capacitor
  • losses model
  • Marginal
  • Markov decision process (MDP)
  • measurements
  • Meta-analysis
  • mobility needs
  • modelling
  • modified one-state hysteresis model
  • multi-objective genetic algorithm
  • novel propulsion systems
  • open-end winding
  • parallel hybrid electric vehicle
  • Paris Agreement
  • plug-in hybrid
  • plug-in hybrid electric vehicle
  • plug-in hybrid electric vehicles (PHEVs)
  • Plugin Hybrid electric vehicle
  • power distribution
  • power sharing
  • Q-learning (QL)
  • range-extender
  • regenerative braking
  • reinforcement learning (RL)
  • simulated annealing
  • state of charge
  • state of health estimation
  • strong track filter
  • system modelling
  • Technology, engineering, agriculture
  • Technology: general issues
  • time-delay input
  • voltage vector distribution
  • Well-to-Wheel
  • wide bandgap (WBG) technologies

Links

DOI: 10.3390/books978-3-03921-454-9

Editions

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