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Energies 2016,9, 594
Proof. Astheoptimalsolution isunique (theproblemisstrictlyconvex),findingoneoptimalsolution
proves this theorem. It canbereadilyverified thatEquation (9) satisfiesbothEquations (7) and (8).
Hence,byLemma2, the theoremisproven.
Aconsequenceof this theoremis thatonly thenumberofcharging intervals Indetermines the
changeδn inchargingpower.
5. Predictions
Themethodspresented intheprevious twosectionsarebasedonproperpredictionsof thefill
levelZn andthenumberofactivecharging intervals In foreachhousen. Tovalidate that thesevalues
arerelativelyeasytopredict,weanalyzedthesevaluesusing90consecutivedaysofmeasurements
fromaDutchhouse,andusedthistocalculatetheoptimalchargingprofileforeachofthedaysbetween
18:00and24:00, subdividedinto24 intervalsof15min.
The results for different charging amountsCn (in kWh) are presented in Table 1. This table
shows that thevalues forZn are in a small band for all 90days. See alsoFigure 3,where the four
graphscorrespondto thedifferentCnvalues fromthis tablearegiven.Whenwetake themaximum
encounteredZn asprediction Zˆn anduse thisprediction forall 90days, the last columnshowsthat
highestrealizedcostsincreasebyatmost16%,althoughthemedianissignificantlylower(7%additional
costs). Thecolumn √
Zˆ
Z gives theboundof thecostsasestimatedbyTheorem1andshowsthat this
theoremprovidesareasonableboundof thecosts.
Table1.AnalysisofZn andCn for90days forchargingbetween18:00and24:00.
Cn
(kWh) Zn In Max.Power √
Zˆ
Z C(Zˆ)
C(Z)
Min Med Max Min Med Max Min Med Max Min Med Max
6 1188 1463 1713 21 22 24 1118 1361 1584 1.20 1.00 1.07 1.16
12 2188 2492 2776 22 24 24 2118 2385 2643 1.13 1.00 1.05 1.11
18 3188 3492 3798 24 24 24 3118 3388 3643 1.09 1.00 1.04 1.09
24 4188 4492 4798 24 24 24 4118 4388 4643 1.07 1.00 1.03 1.07
0 10 20 30 40 50 60 70 80 90
0
1,188
1,713
2,188
2,776
3,188
3,798
4,188
4,798
Day
Figure3.Fill levelsZn correspondingtoTable1.
TheseresultssuggestanefficientwayofpredictingZn: usemeasurements fromthepreviousdays
tocalculate theZn foreachof thesedays,andusethehighestencounteredvalueas Zˆn. Tocalculate
211
Emerging Technologies for Electric and Hybrid Vehicles
- Titel
- Emerging Technologies for Electric and Hybrid Vehicles
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 376
- Schlagwörter
- 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)
- Kategorie
- Technik