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Energies 2017,10, 5
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Figure15.Verificationresultsofdifferentparameterestimationmethodsunder theUDDStests: (a)The
overall look; (b)ThecalculatedSoCprofile (c)Theclose look.
Table 5. RMSEof themodel voltage estimation under the urbandynamometer driving schedule
(UDDS) test.
ModelingMethods Conventional Improved-2h Improved-1h
RMSE(mV) 8.504 6.329 4.244
5.Conclusions
In thispaper,anadvancedbatteryparameterestimationmethodbasedontwogeneraloperating
scenarios inHEV/EVapplications isproposed. Firstly, thesecondorderECMisemployed,andthe
modelparameterextractionprocess isdescribed indetail. Considering the typicaloperatingscenarios
inHEV/EVapplications,namely theCCchargingscenarioandthedynamicdrivingscenario, two
setsofmodelparametersareextracted fromthecharging/dischargingpulse-rest tests. Specifically,
voltage responsesof thepulse-chargingphasesare selected toestimatemodelparameters applied
intheCCchargingscenario. For thedynamicdrivingscenario, themodelparametersare identified
throughthemeasureddata fromtherestperiod. Insteadofemployingthedata fromthewholerest
period, only theprior portionof the collecteddata is selected, and the length of thefitteddata is
determinedbythefrequencyspectrumanalysisof the loadcurrentunder twotypicalurbandriving
conditions. Inaddition,anunsaturatedphenomenoncausedbythe long-termRCnetwork isanalyzed
indetail, andsubsequently,an improvedfittingequationwithmoreaccurate initialvoltageexpression
of theRCnetwork isadopted. Finally,verificationtestssimulatingtheCCchargingscenarioandthe
dynamicdrivingscenarioare conducted, respectively, andcomparisonsbetween theconventional
andtheproposedbatteryparameterestimationmethodsaregiven. Experimental results showthat in
bothcases, thevoltageprofilespredictedfromtheproposedmodelshowabetterconformity to the
experimentaldata.
It is important tonote that theproposedbatteryparameterestimationmethodfor thedynamic
drivingscenarioonlyconsidersthetypicalurbandrivingconditionsatroomtemperature.However,the
characteristicsof the loadcurrentunder theother special conditions (suchas thehighwaydriving
condition and the extremely cold condition)will be obviouslydifferent. For the futurework, the
175
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