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Athree-dimensionalmodelforthermalanalysishasbeendevelopedtogainabetterunderstandingofthermalbehaviorinavanadiumflowbattery(VFB).Themodelisbasedonacomprehensivedescriptionofmass,momentum,chargeandenergytransportandconservation,combiningwithaglobalkineticmodelforreactionsinvolvingallvanadiumspecies.Theemphasisinthispaperisplacedontheheatlossesinsideacell.Aquasi-staticbehavioroftemperatureandthetemperaturespatialdistributionwerecharacterizedviathethermalmodel.Thesimulationsalsoindicatethattheheatgenerationexhibitsastrongdependenceontheappliedcurrentdensity.Thereactionrateandtheoverpotentialrisewithanincreasedappliedcurrentdensity,resultingintheelectrochemicalreactionheatrisesproportionallyandtheactivationheatrisesataparabolicrate.BasedontheOhm’slaw,theohmicheatrisesataparabolicratewhentheappliedcurrentdensityincreases.Asaresult,thedeterminingheatsourcevarieswhentheappliedcurrentdensitychanges.Whiletherelativecontributionofthethreetypesofheatisdependentonthecellmaterialsandcellgeometry,theregularitiesofheatlossescanalsobeattainedviathemodel.Inaddition,theelectrochemicalreactionheatandactivationheathavealackofsensitivitytotheporosityandflowrate,whereasanobviousincreaseofohmicheathasbeenobservedwiththeriseoftheporosity.AlowerporosityorafasterflowshowsabetteruniformityoftemperaturedistributioninaVFB.Thus,themodelproposedinthispapershowsgoodprospectinheatandtemperaturemanagementforaVFBaimingateliminatinganycrisisofinternalheataccumulation.
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Theproblemofbatteryhealthcoupledwithenergymanagementbringsaconsiderablechallengetothehybridelectricbus.Toaddressthischallenge,threecontributionsaremadetorealizeoptimalenergymanagementcontrolwhileprolongingbatterylife.First,asemi-empiricalagingmodeloflithiumironphosphatebatteryisbuiltandidentifiedbythedatafittingmethod,basedonthebatterycyclingtest.Besides,aseverityfactormapisconstructedbyemployingtheproposedagingmodeltocharacterizetherelativeagingofthebatteryunderdifferentoperatingconditions.Second,tomakethedriverdemandtorquemoreappropriateforstatisticalprediction,aMarkovchainisformulatedtopredictdrivingbehaviorandalsoastochasticvehiclemassestimationmethodisproposedtoassistthepredictionofrequiredtorque.Then,astochasticmulti-objectiveoptimizationproblemisformulatedbytakingtheseverityfactormapasabatterydegradationcriterion,whereminimizedbatterydegradationandfuelconsumptioncanbesimultaneouslyrealized.Finally,astochasticmodelpredictivecontrolstrategythatconsidersbatteryhealthisestablished.Bothsimulationandhardware-in-looptestsareperformed.Theresultsdemonstratethatfueleconomyandbatterydegradationcanbeimprovedby16.73%and13.8%comparedwithrule-basedstrategy,respectively.
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Inawirelesssensornetwork(WSN),nodesarepowerconstrained.Asaconsequence,protocolsmustbeenergyefficienttoprolongthenetworklifetimewhilekeepingsomequality-of-service(QoS)requirements.InWSNs,mostprotocolsresorttothebroadcastofcontrolmessageslike,forexample,forthetopologycontrol(TC)ofthenetwork.Onitsturn,TCitselfcanbeappliedtoimprovethebroadcastofdatapacketsinthenetwork,andbecauseonlyasubsetofnodesneedtobeactiveatanytime,itispossibletoextendthenetworklifetime.WeinvestigatesomealternativestoimprovebroadcastinginWSNforanextendednetworklifetime.Thisisaccomplishedintwoways.First,weadaptthedynamicpowermanagementwithscheduledswitchingmodes(DPM-SSM)techniquetoablindfloodingprotocol(i.e.,FLOOD).TocapturethebatterycapacityrecoveryeffectasaresultofapplyingDPM,weconsideramorerealisticbatterymodel(i.e.,Rakhmatov–Vrudhulabatterymodel).Second,weimplementamulti-coverageTCsolutionforcomputinganenergyefficientbroadcastbackbone.ExtensivesimulationresultsusingtheNS2networksimulatorshowthatitispossibletoextendthenetworklifetimewhilekeepinggoodbroadcastingperformance.
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