Page - 196 - in Emerging Technologies for Electric and Hybrid Vehicles

Energies 2016,9, 270 Figure5.Sensitivityanalysis resultsof sub-criteria in theeconomygroup. Thecasewhere thesocietysub-criteriahave10%,20%and30%moreor lessweight thanthebase weightareshowninFigure6. TheQi scoresof thefiveEVCSshave tinyvariations,nomatterhowthe sub-criteriaC4,C5,C6andC7change. Therefore, thesub-criteria in thesocietygrouparenotsensitive factors,andA3andA4are theoptimalandworst site in theoptimalsitingforEVCSs,nomatterhow thesub-criteriaweights in thesocietygroupchange. Figure6.Sensitivityanalysis resultsof thesub-criteria in thesocietygroup. For the sub-criteria in the environment group, theQi of A1, A2 andA5 increasewhen the sub-criteriaC8becomesmore important,andA2ranks third, surpassedbyA1(Figure7).Meanwhile, thescoreofA3andA4remainstablewith theweightvariationofC8. For theweightchangesofC9, scoresofA1,A2andA5showadecreasing tendencyalongwith increaseofweights,while therankof allalternativeskeepconsistentwith thebasesituation. In thecaseofC10, theQiof thefivealternatives remainstablewith increasingweight. Therefore,C8 in thesensitive sub-criterionwhichobviously affects theEVCSsite selectionresults.Nomatterhowtheweights in theeconomygroupchange,A3 is always thebestchoice in theoptimalEVCSsiting. For thesub-criteria in the technologygroup, theQiof thefivealternativesremainstablewhen thesub-criteriaC11andC12becomemore important (Figure8).Moreover,whentheweightofC13 becomesmore important, theQiofA1andA2presenta rising tendency,while theQiofA5shows adecreasing tendency. However, nomatterhowthe sub-criteriaweights in the technologygroup change, therankingorderof thefiveEVCSsremainsrelativelystable,andA3isalways the topchoice in theEVCSsiteselection. 196