Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book comprises five peer-reviewed articles covering original research articles on the modeling and simulation of electricity systems for transport and energy storage. The topics include: 1 - Optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines; 2 - Technical–economic comparison between a 3 kV DC railway and the use of trains with on-board storage systems; 3 - How to improve electrical feeding substations, by changing transformer technology and by installing dedicated high-power-oriented storage systems; 4 - Algorithm applied to a vehicle-to-grid (V2G) technology. 5 - Thermal investigation and optimization of an air-cooled lithium-ion battery pack.

History of engineering & technology --- thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free --- thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Electric vehicles are only ‘green’ as long as the source of electricity is ‘green’ as well. At the same time, renewable power production suffers from diurnal and seasonal variations, creating the need for energy storage technology. Moreover, overloading and voltage problems are expected in the distributed network due to the high penetration of distributed generation and increased power demand from the charging of electric vehicles. The energy and mobility transition hence calls for novel technological innovations in the field of sustainable electric mobility powered from renewable energy. This Special Issue focuses on recent advances in technology for PV charging and storage for electric vehicles.

electric vehicle --- demand forecasting --- peak shaving --- smart charging --- robust optimization --- Energy management and control --- particle swarm optimization (PSO) --- hybrid AC/DC microgrid --- electric vehicle charging and discharging control --- artificial physics optimization (APO) --- vehicle to grid --- V2G --- battery degradation --- Li-ion --- real-time --- moving horizon window --- battery charger --- electric bike --- photovoltaic system --- power converter --- wireless power transfer --- plug-in electric vehicle --- energy management system --- renewable energy --- vehicle-to-grid --- life cycle assessment --- CO2 emissions --- photovoltaic systems --- electric vehicles --- VIPV --- cost–benefit analysis

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The transport sector, which is currently almost completely based on fossil fuels, is one of the major contributors to greenhouse gas emissions. Heading towards a more sustainable development of mobility could be possible with more energy efficient automotive technologies such as battery electric vehicles. The number of electric vehicles has been increasing over the last decade, but there are still many challenges that have to be solved in the future. This Special Issue “Prospects for Electric Mobility: Systemic, Economic and Environmental Issues” contributes to the better understanding of the current situation as well as the future prospects and impediments for electro mobility. The published papers range from historical development of electricity use in different transport modes and the recent challenges up to future perspectives.

Research & information: general --- Technology: general issues --- electricity --- transportation --- e-mobility --- CO2 emissions --- decarbonization --- marginal cost --- sustainability --- V2G --- bidirectionally chargeable electric vehicles --- smart charging --- unmanaged charging --- spot markets --- day-ahead market --- intraday auction --- continuous intraday trading --- mixed integer linear optimization --- revenues potentials of EVs --- electric mobility --- charging strategies --- economics --- promotion policies --- mixed-integer optimization --- flexible systems --- charging infrastructure --- load management --- battery electric vehicle --- urban area --- multi-apartment building --- zero emission mobility --- private charging --- second life of batteries --- electromobility --- battery energy system storage --- ancillary service --- frequency regulation --- economic evaluation --- electric vehicle --- life cycle assessment --- AC charging --- DC charging --- economic assessment --- mountain rescue operations --- emergency response --- multi-method-research --- best–worst scaling --- shared parking --- sharing economy --- P + R car park --- low-power chargers --- battery electric vehicles --- public transport --- emissions --- policies --- distributed energy systems --- cost- and GHG emission minimization --- environment --- passenger cars --- mobility-as-a-Service --- electric vehicles --- e-car sharing --- e-scooter sharing --- sustainable mobility --- suburban area --- choice-based conjoint --- latent class analysis --- willingness to pay --- market simulations --- genetic algorithm --- V2G services --- valley filling --- peak shaving --- flexibility --- motorized private transport --- modelling electricity demand --- driving patterns --- electricity demand profile --- transport --- electricity sector --- demand side integration --- total system costs --- COVID-19 pandemic --- transportation modeling --- electricity --- transportation --- e-mobility --- CO2 emissions --- decarbonization --- marginal cost --- sustainability --- V2G --- bidirectionally chargeable electric vehicles --- smart charging --- unmanaged charging --- spot markets --- day-ahead market --- intraday auction --- continuous intraday trading --- mixed integer linear optimization --- revenues potentials of EVs --- electric mobility --- charging strategies --- economics --- promotion policies --- mixed-integer optimization --- flexible systems --- charging infrastructure --- load management --- battery electric vehicle --- urban area --- multi-apartment building --- zero emission mobility --- private charging --- second life of batteries --- electromobility --- battery energy system storage --- ancillary service --- frequency regulation --- economic evaluation --- electric vehicle --- life cycle assessment --- AC charging --- DC charging --- economic assessment --- mountain rescue operations --- emergency response --- multi-method-research --- best–worst scaling --- shared parking --- sharing economy --- P + R car park --- low-power chargers --- battery electric vehicles --- public transport --- emissions --- policies --- distributed energy systems --- cost- and GHG emission minimization --- environment --- passenger cars --- mobility-as-a-Service --- electric vehicles --- e-car sharing --- e-scooter sharing --- sustainable mobility --- suburban area --- choice-based conjoint --- latent class analysis --- willingness to pay --- market simulations --- genetic algorithm --- V2G services --- valley filling --- peak shaving --- flexibility --- motorized private transport --- modelling electricity demand --- driving patterns --- electricity demand profile --- transport --- electricity sector --- demand side integration --- total system costs --- COVID-19 pandemic --- transportation modeling