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Energies 2017,10, 1217
approach toattaindesiredperformance, stableSOCat therationaloperatingrangeconstantly, and
maximizedfueleconomy. Theoperatingprincipleof this systemisshowninFigure72.Chenetal.,
proposedanenergymanagementalgorithmin[182] toeffectivelycontrolbatterycurrent, andthus
reduce fuelusagebyallowingtheengineoperatemoreeffectively.Quadraticprogrammingwasused
here to calculate the optimumbattery current. In [183], Li et al., used fuzzy logic to create anew
quantity: batteryworking stateorBWSwhichwasused inanenergymanagement systemrunby
fuzzy logic toprovideproperpowerdivisionbetweentheengineandthebattery. Simulationresults
proved this approach tobe effective inmaking the engineoperate in the regionofmaximumfuel
efficiencywhilekeepingthebatteryawayfromexcessdischarging.Yuanetal., comparedDynamic
ProgrammingandPontryagin’sMinimumPrinciple (PMP) forenergymanagement inparallelHEVs
usingAutomaticManualTransmission. ThePMPmethodprovedbetteras itwasmoreefficient to
implement, requiredconsiderably lesscomputational time,andbothof thesystemsprovidedalmost
similar results [184]. In [185],Bernardetal.,proposedareal timecontrol systemtoreducehydrogen
consumption inFCEVsbyefficientlysharingpowerbetweenthe fuel cell arrangementandtheenergy
buffer (ultracapacitor orbattery). This control systemwas created fromanoptimal control theory
basednon-causaloptimizationalgorithm. Itwaseventually implemented inahardwarearrangement
built arounda600Wfuel cell arrangement. Inanattempt tocreateanenergymanagementsystem
for a still-not-commercialized PHEVemploying amicro turbine, Geng et al., used an equivalent
consumptionminimization strategy (ECMS) in [174] to estimate the optimumdriving cost. Their
systemusedthebatterySOCandthevehicle telemetry toproduce theresults,whichwereavailable in
real timeandprovideddrivingcost reductionsofupto21.6%.
Figure 65. Forces acting on thewheels of a car. Each of thewheels experience forces in all three
directions,markedwith the ‘F’vectors. Lf andLr showthedistancesof frontandrearaxles fromthe
centerof thevehicle,whileTr showsthedistancebetweenthewheelsofanaxle.Adaptedfrom[25].
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Emerging Technologies for Electric and Hybrid Vehicles
- Titel
- Emerging Technologies for Electric and Hybrid Vehicles
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 376
- Schlagwörter
- electric vehicle, plug-in hybrid electric vehicle (PHEV), energy sources, energy management strategy, energy-storage system, charging technologies, control algorithms, battery, operating scenario, wireless power transfer (WPT)
- Kategorie
- Technik