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Energies 2017,10, 5
Secondly, inorder todemonstrate the improvementof theproposedbatterymodellingapproach
duringthedynamicdrivingscenario, themodelandexperimentalvoltageoutputs in theconsecutive
UDDSvalidation are plotted in Figure 15a, the corresponding calculated SoCprofile is shown in
Figure15b,andthedetailedfigure from10,000s to12,000s isplotted inFigure15c. TheRMSEof the
aforementionedestimationmethodsduringthewholeconsecutiveUDDStestarealsoshowninTable5.
Figure15bshowsthat theconsecutiveUDDStest is startedfrom90%SoC, andterminatedwhenthe
valueofSoCdropsbelow20%. It canbeobservedfromFigure15c thatparametersestimatedbythe
improvedfittingfunctiongenerallydemonstrateabetterperformance,especiallyduringthedynamic
period(rangingfrom10,000s to11,400s),becauseconsideringtheunsaturatedphenomenonof the
long-termRCnetwork. It canalsobeconcludedthat themodelcontainingparametersestimatedby
theprior1-hexperimentaldatafromtherestperiodgivesvoltageoutputwiththeleasterror,especially
duringtheshort-timerestperiod. Inaddition, it canbeseenfromFigure5athat thereexistsarelatively
long-timeandhighC-ratedischargingcurrent in theUDDScycleapproximatelyrangingfrom150s to
300s. Since larger timeconstantsareobtainedfromthedataof thewholerestperiod, thiscauses the
correspondingvoltageoutputnot torecoverfastafterarelatively long-timedischargingcurrent,which
leadstoanoffsetofvoltageerrors incomparisontothevoltageerrorcausedbytheproposedapproach.
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174
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