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Plug-in Hybrid Electric Vehicle (PHEV)

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ISBN: 9783039214532 / 9783039214549 Year: Pages: 230 DOI: 10.3390/books978-3-03921-454-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Abstract

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.

Keywords

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

Microgrids

Author:
ISBN: 9783039218684 / 9783039218691 Year: Pages: 108 DOI: 10.3390/books978-3-03921-869-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the so-called distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a game-changer; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both grid-connected and grid-isolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.

Keywords

demand-side management --- optimization --- deterministic optimization --- stochastic optimization --- residential users --- devices scheduling --- renewable sources --- storage systems --- electric energy market --- power quality --- chaos synchronization detection --- extension theory --- direct search method (DSM) --- microgrid (MG) --- distributed energy resources (DERs) --- distributed generation (DG) --- optimal dispatch --- microgrids --- multi-agent --- coordinated control --- IEC 61850 Standard --- generic object oriented substation event (GOOSE) communication --- power quality disturbances --- S-transform --- multiresolution --- particle swarm optimization --- decision tree --- reliability evaluation --- microgrid --- distributed generation --- battery storage --- vehicle-to-grid --- ruleless EV --- regular EV --- combined power generation system --- microgrid --- coordinative optimization of energy --- predictive control --- genetic algorithm --- distributed generation (DG) --- microgrid --- microgrid stability controller (MSC) --- total sliding-mode control --- hierarchical control scheme --- maximum electrical efficiency --- nonlinear programming --- solid oxide fuel cell --- electric vehicle (EV) --- vehicle-to-grid (V2G) --- isolated grid --- load frequency control (LFC) --- multivariable generalized predictive control (MGPC) --- current harmonic reduction --- active filter --- power quality --- buck-boost converter --- renewable energy source --- optimal capacity --- reliability --- renewable --- energy storage --- genetic algorithm --- DC microgrid --- communication delay --- droop control --- load power sharing --- mesh configuration --- radial configuration --- electric vehicle --- energy management system --- peak-shift --- peak-cut --- vehicle information system --- photovoltaic feasibility --- flexible generation --- distributed energy resources --- power quality --- DC distribution --- DC microgrid --- inrush current --- grounding --- DC architectures --- datacenter --- residential power systems --- telecommunication power management --- smart grids --- microgrid --- network planning --- power distribution --- grid independence --- distributed energy resources --- micro-grid --- IEC 61850 --- plug and play --- operation --- small-scale standalone microgrid --- HESS --- ESS effective rate --- coordinated control strategy --- cost and life --- technical and economic optimization --- microgrid --- flywheel energy storage (FES) --- doubly fed induction machine --- frequency control --- smoothing wind power --- distributed generation --- congestion problems --- medium-voltage networks --- curtailment --- flexibility --- microgrid test facility --- distributed generation --- integrated electrical and thermal grids --- flexible and configurable architecture --- energy efficiency --- distributed optimization --- optimal power flow --- microgrids --- embedded system --- smart grid --- smart inverter --- distributed energy resource --- power quality

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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eng (2)


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2020 (1)

2019 (1)