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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)

Modeling and Simulation of Carbon Emission Related Issues

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ISBN: 9783039213115 / 9783039213122 Year: Pages: 420 DOI: 10.3390/books978-3-03921-312-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:15
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Carbon emissions reached an all-time high in 2018, when global carbon dioxide emissions from burning fossil fuels increased by about 2.7%, after a 1.6% increase in 2017. Thus, we need to pay special attention to carbon emissions and work out possible solutions if we still want to meet the targets of the Paris climate agreement. This Special Issue collects 16 carbon emissions-related papers (including 5 that are carbon tax-related) and 4 energy-related papers using various methods or models, such as the input–output model, decoupling analysis, life cycle impact analysis (LCIA), relational analysis model, generalized Divisia index model (GDIM), forecasting model, three-indicator allocation model, mathematical programming, real options model, multiple linear regression, etc. The research studies come from China, Taiwan, Brazil, Thailand, and United States. These researches involved various industries such as agricultural industry, transportation industry, power industry, tire industry, textile industry, wave energy industry, natural gas industry, and petroleum industry. Although this Special Issue does not fully solve our concerns, it still provides abundant material for implementing energy conservation and carbon emissions reduction. However, there are still many issues regarding the problems caused by global warming that require research.

Keywords

household consumption --- total carbon emissions --- CLA Model --- influence factor --- STIRPAT model --- carbon emissions --- influencing factors --- decoupling elasticity --- Generalized Divisia Index --- Tapio’s model --- household CO2 emissions (HCEs) --- per capita household CO2 emissions (PHCEs) --- input–output model --- refined oil distribution --- inventory routing problem --- hybrid genetic algorithm --- carbon emissions --- carbon tax --- decoupling analysis --- greenhouse gas emissions --- carbon footprint --- low-carbon agriculture --- causal factors --- CO2 emissions forecasting --- VARIMAX-ECM model --- sustainable development --- economic growth --- population growth --- carbon price fluctuation --- renewable energy --- real options analysis --- investment under uncertainty --- carbon emissions --- carbon tax --- activity-based costing (ABC) --- capacity expansion --- green quality management --- product-mix decision model --- mathematical programming --- long-term --- final energy consumption --- LT-ARIMAXS model --- sustainable development --- economic growth and the environment --- error correction mechanism model --- activity-based costing (ABC) --- mathematical programming --- textile industry --- green manufacturing --- Industry 4.0 --- carbon emissions --- Activity-Based Costing (ABC) --- carbon emissions --- tire industry --- carbon trading --- mathematical programming --- quotas allocation --- carbon emissions --- electric power industry --- fairness --- agricultural-related sectors --- carbon emissions --- carbon tax --- China --- power industry --- carbon emissions --- Generalized Divisia Index --- scenario forecast --- Monte Carlo method --- wave energy converter --- life cycle assessment --- energy intensity --- carbon intensity --- aircraft --- taxi time --- takeoff rate --- pushback control --- green transportation --- carbon emissions --- reducing carbon emissions --- carbon intensity target --- energy structure --- gray model (GM (1, 1)) --- generalized regression neural network (GRNN) --- Markov forecasting model --- non-linear programming --- ethylene supply --- shale gas --- non-energy uses of fossil fuels --- socio-economic scenarios --- climate change --- tea --- climate change --- sustainable agriculture --- environmental impact --- carbon footprint --- CO2 emissions --- HOMER software --- hybrid ship power systems --- Li-ion battery --- shipping --- n/a

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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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2019 (2)