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Electric Systems for Transportation
| Electric Systems for Transportation |
| Autore | Ruvio Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (690 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
adaptive control
adaptive control theory alternating direction method of multipliers ancillary services anti-lock braking system battery aging battery electric vehicles battery fuel gauge battery management system (BMS) battery management systems bilevel model capacity fade charging strategy city bus control strategy controlled charging controller cost model deep decarbonization deep reinforcement learning (DRL) diesel engine distribution network voltage regulation dQ/dV dual active bridge DC-DC converter dual-polarization model dV/dQ eco-driving efficiency electric bus electric power systems electric vehicle electric vehicles electric vehicles (EVs) electric-drive vehicle electrical installation electrical power systems electrical transport electrical vehicle energy efficiency energy management energy storage systems energy-optimized vehicle trajectories environmental impacts equivalent consumption minimization strategy EV motor inverter fast terminal sliding mode control fault diagnosis fractional-order model frequency regulation fuel consumption fuel economy full-bridge phase-shift DC-DC converter fuzzy logic system G2V gearbox genetic algorithm global optimization grid-side effects heavy-duty vehicles high power density home energy management system hybrid electric bulldozer hybrid electric vehicle hybrid electric vehicles hybrid Kalman filter hybrid powertrain hydraulic accumulator hydraulic power systems independent-drive technology input-parallel output-parallel input-parallel output-series input-series input-parallel output-series output-parallel input-series output-parallel input-series output-series internal resistances inverter life cycle assessment lithium-ion lithium-ion battery marine transport mathematical modeling microgrid more electric aircraft (MEA) multilevel converter multimodule DC-DC converters natural gas engine non-linear non-uniform air-gap on-board charger open-circuit voltage optimal torque distribution optimization optimization algorithm particle swarm algorithm particle swarm optimization PEM fuel cell system PFCM-ABC-SVM photovoltaic photovoltaic potentials plug-in electric vehicles plug-in hybrid policy incentive power converters power fade power grid power smoothing power systems power-split power-split hybrid predictive control public charging infrastructure public charging station public transport PV railway railway transport range constraint reused battery review road freight transport road freight vehicle road operation test robust estimation robust optimization rotor hole placement rotor structure route guidance strategies shift-by-wire (SBW) signalized intersections simulation SOC estimation state of charge state of health stochastic charging demands stochastic optimization supercapacitor sustainability sustainable development switched reluctance motor (SRM) TCO time-varying road network torque ripple total cost of ownership tracked vehicle traffic signal control transmission transportation ultra-fast charging ultracapacitor V2G vehicle vehicle dynamics model vehicle selection vehicle stock turnover model vehicle-grid integration vehicle-to-home wireless power transfer |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557407803321 |
Ruvio Alessandro
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electrical Power and Energy Systems for Transportation Applications / Chris Bingham, Paul Stewart
| Electrical Power and Energy Systems for Transportation Applications / Chris Bingham, Paul Stewart |
| Autore | Bingham Chris |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2017 |
| Descrizione fisica | 1 electronic resource (XX, 572 p.) |
| Soggetto non controllato |
electrical power systems
distributed power systems electrical drives electric vehicles power electronics renewable energy energy management power systems power generation energy systems energy conversion electrical machines |
| ISBN |
9783038422426
3038422428 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910220021203321 |
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Bingham Chris
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| MDPI - Multidisciplinary Digital Publishing Institute, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||