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Energies 2017,10, 5
7LPH V 7LPH V
(a) (b)
(c) (d)
Figure5. (a)The loadcurrentprofileof theurbandynamometerdrivingschedule (UDDS) test; (b) the
loadcurrentprofileof theworldwideharmonized lightvehicles testprocedure (WLTP) test; (c) the
loadcurrentamplitudedistributionof theUDDStest; (d) the loadcurrentamplitudedistributionof
theWLTPtest.
3.2.2.Determinationof theLengthof theFittedExperimentalDataset
Thediffusionprocess,which is causedby thegradient in concentration, playsamajor role in
the lowC-rate load current and rest cases. Since the electrochemical reactions occurring during
the diffusion process are very complex, these reactions can be accurately modeled as infinite
series-connectedRCnetworkswithawiderangeof timeconstants (τ1,τ2, . . . ,τj). Usually, thevalues
of timeconstantsdependontheelectrodethicknessandthestructureof thebattery toagreatextent,
andtypical timeconstantsare in therangeofseconds tominutes [45]. ThesecondorderRCnetwork
canonlyapproximate thediffusionprocessbytwoparts: the fastdynamicspart (theshort-termRC
networkwithτshort) andtheslowdynamicspart (the long-termRCnetworkwithτlong).
In general, the values of the two time constants are closely related to the length of thefitted
experimentaldataΔt.Whenonly the initial segmentof thevoltageresponse isemployedinparameter
estimation, suchasPartAin thebottomsubfigureofFigure1, thevoltagesacross theshorter-term
RCnetworkshave a largerdegree of variability,whichmeans that the shorter-termRCnetworks
haveagreater impactonthe initial segmentof thevoltageresponse. This in turn leads to thesmaller
estimated timeconstantsandsubsequently ignores theslowerdynamicsdiffusionprocess. Onthe
contrary,after the initialphaseof therestperiod, suchasPartB in thebottomsubfigureofFigure1,
thevoltagesacross theshorter-termRCnetworkshaveconvergedtozero; thus, thevoltagevariation
causedbytheshorter-termRCnetworks isnegligible. Instead, thevoltagesacross the longer termRC
networksmakearemarkablecontributiontothetotalvoltageresponse. Subsequently, itcanbeinferred
that themeasureddatashowaslowervaryingcharacteristic,whichrepresent theslowerdynamics
diffusionprocessandcanbemodeledbytheRCnetworkswith larger timeconstants.Hence, if the
wholevoltageresponseof the longtimerestperiodisadopted,datawithslowervaryingvalueswill
account fora largeportion,whichwill leadto therelatively largerestimatedtimeconstants.However,
too large timeconstantswillmakethemodeloutputvoltageseverely lagbehindtheactual response
andresult inapoordynamicperformance.
166
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