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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 electronic resource (266 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
degree of hybridization
energy management hybrid propulsion proton exchange membrane fuel cell simulink, supercapacitor fleet transition optimization life-cycle assessment greenhouse gas global warming potential vehicle powertrain concepts dedicated hybrid transmission benchmarking hybrid electric vehicle efficiency topology optimization drive train optimization powertrain concepts structural reliability uncertainties ensemble learning fault diagnosis VFS GA input feedforward fault observation pressure sensor aftermarket hybridization kit emissions mitigation local driving cycle plug-in hybrid electric vehicles vehicle efficiency plug-in hybrid electric vehicle electromechanical coupling electrified mechanical transmission multi-purpose vehicle machine learning powertrain control automatic re-training hybrid electric vehicles dynamic programming transmission vehicle emissions particle measurement programme (PMP) portable emissions measurement systems (PEMS) volatile removal efficiency non-volatiles solid particle number catalytic stripper evaporation tube artefact E-Mobility powertrain design high-speed electric machine design transmission design gearbox electric vehicles range extenders zinc-air battery lithium-ion battery electric vehicle transition Arrhenius model losses mission profile inverter powertrain Rainflow algorithm reliability thermal network electric vehicle |
| 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)
| Plug-in Hybrid Electric Vehicle (PHEV) |
| Autore | VAN Mierlo Joeri |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (230 p.) |
| 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 | 3-03921-454-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Plug-in Hybrid Electric Vehicle |
| 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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