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Future Powertrain Technologies
| Future Powertrain Technologies |
| Autore | Rinderknecht Stephan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (266 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
aftermarket hybridization kit
Arrhenius model artefact automatic re-training benchmarking catalytic stripper dedicated hybrid transmission degree of hybridization drive train optimization dynamic programming E-Mobility efficiency electric machine design electric vehicle electric vehicle transition electric vehicles electrified mechanical transmission electromechanical coupling emissions mitigation energy management ensemble learning evaporation tube fault diagnosis fault observation fleet transition GA gearbox global warming potential greenhouse gas high-speed hybrid electric vehicle hybrid electric vehicles hybrid propulsion input feedforward inverter life-cycle assessment lithium-ion battery local driving cycle losses machine learning mission profile multi-purpose vehicle n/a non-volatiles optimization particle measurement programme (PMP) plug-in hybrid electric vehicle plug-in hybrid electric vehicles portable emissions measurement systems (PEMS) powertrain powertrain concepts powertrain control powertrain design pressure sensor proton exchange membrane fuel cell Rainflow algorithm range extenders reliability simulink, supercapacitor solid particle number structural reliability thermal network topology optimization transmission transmission design uncertainties vehicle efficiency vehicle emissions vehicle powertrain concepts VFS volatile removal efficiency zinc-air battery |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557443503321 |
Rinderknecht Stephan
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Plug-in Hybrid Electric Vehicle (PHEV) / Joeri VAN Mierlo
| Plug-in Hybrid Electric Vehicle (PHEV) / Joeri VAN Mierlo |
| Autore | VAN Mierlo Joeri |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (230 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
hybrid energy storage system
plug-in hybrid electric vehicle Li-ion battery emerging electric machines lithium-ion capacitor electric vehicles (EVs) efficient energy management strategies for hybrid propulsion systems plug-in hybrid attributional electric vehicle energy system energy efficiency modified one-state hysteresis model air quality adaptive neuron-fuzzy inference system (ANFIS) Markov decision process (MDP) simulated annealing Paris Agreement mobility needs interleaved multiport converte dynamic programming state of health estimation strong track filter LCA modelling consequential losses model voltage vector distribution parallel hybrid electric vehicle electricity mix time-delay input convex optimization lifetime model artificial neural network (ANN) Li(Ni1/3Co1/3Mn1/3)O2 battery battery power CO2 capacity degradation regenerative braking open-end winding novel propulsion systems group method of data handling (GMDH) state of charge Well-to-Wheel energy storage systems including wide bandgap (WBG) technology wide bandgap (WBG) technologies marginal lithium polymer battery life-cycle assessment (LCA) energy management dual inverter lithium-ion battery measurements plug-in hybrid electric vehicles (PHEVs) emerging power electronics Q-learning (QL) fuel consumption characteristics Plugin Hybrid electric vehicle Energy Storage systems meta-analysis range-extender engine-on power reinforcement learning (RL) multi-objective genetic algorithm power sharing energy management strategy power distribution hybrid electric vehicles system modelling |
| ISBN |
9783039214549
3039214543 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565103321 |
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VAN Mierlo Joeri
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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