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Energies 2017,10, 1217
Toalleviate theproblemsat thedistributionstageof thegrid—which ishighlyaffectedbyEV
penetration—Gengetal.,proposedachargingstrategycomprisingof twostagesaimedatproviding
satisfactorychargingforall connectedEVswhileshifting the loadsonthe transformers [120]. Thefirst
stageutilizedPontryagin’sminimumprincipleandwasbasedontheconceptofdynamicaggregator;
it derived theoptimal chargingpower for all theEVs in the system. The secondstageused fuzzy
logic todistribute thepowercalculated in thefirst stageamongtheEVs. According to theauthors,
thesystemwasfeasible tobe implementedpractically [120]. In [116],Richardsonetal., employeda
linearprogrammingbasedtechniquetocalculate theoptimal rateofchargingforeachEVconnected
in adistribution network to enablemaximizedpowerdelivery to the vehicleswhilemaintaining
thenetwork limits. ThisapproachcanprovidehighEVpenetrationpossible inexistingresidential
power systemswithnoor a littleupgrade. Sortommeet al., developedanalgorithmtomaximize
profit fromEVcharging inaunidirectionalV2Gsystemwhereanaggregator ispresent tomanagethe
charging[146]. Table31summarizes thealgorithmspresented in this section.
Table31.Summaryof thecontrolalgorithmspresented.
References AlgorithmBasedon Application
Magallanetal. [176] LuGredynamic frictionmodel Drivingcontrol systeminrear-wheel-driveEV
Kangetal. [177] Optimization-basedcontrolallocationstrategy Drivingcontrol systeminfour-wheel-driveEV
Tahamietal. [25] Fuzzy logic Drivingcontrol systeminall-wheel-driveEV
Wangetal. [178] Proportional-integral (PI) closed
loopcontrol
system Drivingcontrol systemin in-wheel-driveEV
Nametal. [179] ExtendedKalmanfiltering(EKF)method Drivingcontrol systemin in-wheel-driveEV
Zhouetal. [180] Particlefilterandmulti-modeldata fusion SOCmeasurement for
lithiumpolymerbatteries
Mouraetal. [175] Markovprocess Powersplitting inmid-sizedsedanPHEV
Huietal. [181] Torquecontrol strategy Heavyhybridvehiclesusingasingleenergysource
Chenetal. [182] Quadraticprogramming Reductionof fuel
consumptionbyeffectivebatterycurrentcontrol
Lietal. [183] Fuzzy logic Attainingmaximumfuelefficiencywithoutexcessdischargingofbattery
Yuanetal. [184] DynamicProgrammingandPontryagin’sMinimumPrinciple Efficientenergymanagement inparallelHEV
usingAutomaticManualTransmissionorAMT
Bernardetal. [185] Non-causaloptimizationalgorithm Reductionofhydrogenconsumption inFCEV
Gengetal. [174] Equivalentconsumptionminimizationstrategy(ECMS) Energymanagement inPHEVemploying
microturbine
Suetal. [186] Estimationofdistribution(EDA)algorithm Intelligentchargingof
largefleetofPHEVsdockedatamunicipalchargingstation
Deilamietal. [140] Maximumsensitivitiesselection(MSS)optimization Loadmanagementsystemfor intelligent
charging
Mohamedetal. [187] Fuzzycontroller V2GsystemforEVchargingparksincorporatingrenewablegeneration
Gengetal. [120] Pontryagin’sminimumprinciple, fuzzy logic LoadshiftingwhilechargingEVs in
thedistributionnetwork
Richardsonetal. [116] Linearprogramming EnablinghighEVpenetration
inexistingresidentialpowersystemnetwork
Sortommeetal [146] Preferredoperatingpoint (POP)algorithm Maximizingprofit
fromEVchargingthroughanaggregator
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Emerging Technologies for Electric and Hybrid Vehicles
- Title
- Emerging Technologies for Electric and Hybrid Vehicles
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Size
- 17.0 x 24.4 cm
- Pages
- 376
- Keywords
- 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)
- Category
- Technik