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This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G systems, utilities and transportation assets for advanced V2G systems, wireless power transfer systems for advanced V2G systems, fault detection, maintenance and diagnostics in V2G processes, communications protocols for V2G systems, energy management system (EMS) in V2G systems, IoT for V2G systems, distributed energy and storage systems for V2G, transportation networks and V2G, energy management for V2G, smart charging/discharging stations for efficient V2G, environmental and socio-economic benefits and challenges of V2G systems, and building integrated V2G systems (BIV2G). Five manuscripts are published in this Special Issue, including “An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads” by Agyeman et al., “Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid, An MPC Scheme with Enhanced Active Voltage Vector Region for V2G Inverter” by Shipman et al., “Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids” by Xia et al., and “A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies” by Savitti et al.
History of engineering & technology --- vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means --- vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means
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This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G systems, utilities and transportation assets for advanced V2G systems, wireless power transfer systems for advanced V2G systems, fault detection, maintenance and diagnostics in V2G processes, communications protocols for V2G systems, energy management system (EMS) in V2G systems, IoT for V2G systems, distributed energy and storage systems for V2G, transportation networks and V2G, energy management for V2G, smart charging/discharging stations for efficient V2G, environmental and socio-economic benefits and challenges of V2G systems, and building integrated V2G systems (BIV2G). Five manuscripts are published in this Special Issue, including “An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads” by Agyeman et al., “Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid, An MPC Scheme with Enhanced Active Voltage Vector Region for V2G Inverter” by Shipman et al., “Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids” by Xia et al., and “A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies” by Savitti et al.
History of engineering & technology --- vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means
Choose an application
This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G systems, utilities and transportation assets for advanced V2G systems, wireless power transfer systems for advanced V2G systems, fault detection, maintenance and diagnostics in V2G processes, communications protocols for V2G systems, energy management system (EMS) in V2G systems, IoT for V2G systems, distributed energy and storage systems for V2G, transportation networks and V2G, energy management for V2G, smart charging/discharging stations for efficient V2G, environmental and socio-economic benefits and challenges of V2G systems, and building integrated V2G systems (BIV2G). Five manuscripts are published in this Special Issue, including “An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads” by Agyeman et al., “Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid, An MPC Scheme with Enhanced Active Voltage Vector Region for V2G Inverter” by Shipman et al., “Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids” by Xia et al., and “A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies” by Savitti et al.
vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means
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Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.
Technology: general issues --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter
Choose an application
Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.
electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter
Choose an application
Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.
Technology: general issues --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter
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