| 000 | 04993naaaa2201093uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/56419 | ||
| 005 | 20220714185656.0 | ||
| 020 | _abooks978-3-03921-454-9 | ||
| 020 | _a9783039214549 | ||
| 020 | _a9783039214532 | ||
| 024 | 7 |
_a10.3390/books978-3-03921-454-9 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aVAN Mierlo, Joeri _4auth _91608924 |
|
| 245 | 1 | 0 | _aPlug-in Hybrid Electric Vehicle (PHEV) |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2019 |
||
| 300 | _a1 electronic resource (230 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aClimate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on "Plug-In Hybrid Electric Vehicles (PHEVs)". This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _ahybrid energy storage system | ||
| 653 | _aplug-in hybrid electric vehicle | ||
| 653 | _aLi-ion battery | ||
| 653 | _aemerging electric machines | ||
| 653 | _alithium-ion capacitor | ||
| 653 | _aelectric vehicles (EVs) | ||
| 653 | _aefficient energy management strategies for hybrid propulsion systems | ||
| 653 | _aplug-in hybrid | ||
| 653 | _aattributional | ||
| 653 | _aelectric vehicle | ||
| 653 | _aenergy system | ||
| 653 | _aenergy efficiency | ||
| 653 | _amodified one-state hysteresis model | ||
| 653 | _aair quality | ||
| 653 | _aadaptive neuron-fuzzy inference system (ANFIS) | ||
| 653 | _aMarkov decision process (MDP) | ||
| 653 | _asimulated annealing | ||
| 653 | _aParis Agreement | ||
| 653 | _amobility needs | ||
| 653 | _ainterleaved multiport converte | ||
| 653 | _adynamic programming | ||
| 653 | _astate of health estimation | ||
| 653 | _astrong track filter | ||
| 653 | _aLCA | ||
| 653 | _amodelling | ||
| 653 | _aconsequential | ||
| 653 | _alosses model | ||
| 653 | _avoltage vector distribution | ||
| 653 | _aparallel hybrid electric vehicle | ||
| 653 | _aelectricity mix | ||
| 653 | _atime-delay input | ||
| 653 | _aconvex optimization | ||
| 653 | _alifetime model | ||
| 653 | _aartificial neural network (ANN) | ||
| 653 | _aLi(Ni1/3Co1/3Mn1/3)O2 battery | ||
| 653 | _abattery power | ||
| 653 | _aCO2 | ||
| 653 | _acapacity degradation | ||
| 653 | _aregenerative braking | ||
| 653 | _aopen-end winding | ||
| 653 | _anovel propulsion systems | ||
| 653 | _agroup method of data handling (GMDH) | ||
| 653 | _astate of charge | ||
| 653 | _aWell-to-Wheel | ||
| 653 | _aenergy storage systems | ||
| 653 | _aincluding wide bandgap (WBG) technology | ||
| 653 | _awide bandgap (WBG) technologies | ||
| 653 | _amarginal | ||
| 653 | _alithium polymer battery | ||
| 653 | _alife-cycle assessment (LCA) | ||
| 653 | _aenergy management | ||
| 653 | _adual inverter | ||
| 653 | _alithium-ion battery | ||
| 653 | _ameasurements | ||
| 653 | _aplug-in hybrid electric vehicles (PHEVs) | ||
| 653 | _aemerging power electronics | ||
| 653 | _aQ-learning (QL) | ||
| 653 | _afuel consumption characteristics | ||
| 653 | _aPlugin Hybrid electric vehicle | ||
| 653 | _aEnergy Storage systems | ||
| 653 | _ameta-analysis | ||
| 653 | _arange-extender | ||
| 653 | _aengine-on power | ||
| 653 | _areinforcement learning (RL) | ||
| 653 | _amulti-objective genetic algorithm | ||
| 653 | _apower sharing | ||
| 653 | _aenergy management strategy | ||
| 653 | _apower distribution | ||
| 653 | _ahybrid electric vehicles | ||
| 653 | _asystem modelling | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/1519 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/56419 _70 _zDOAB: description of the publication |
| 999 |
_c3008920 _d3008920 |
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