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Fuel Cell Electric Vehicle Power System Control Strategy

Posted on:2013-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:H Q XiaoFull Text:PDF
GTID:2232330371968887Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
In the course of this study,fuel cell power system is mainly energy,nickel-metal hydride battery as an auxiliary energy,fuel cells provide the major driving a car the normal requirements for the major energy,automotive auxiliary powersource is to provide climbing,acceleration the additional energy,and absorb the car back the energy generated during braking.According to the fuel cell electric vehicle power system structure,power systems based on ADVISOR platform,the basic model,using the MATLAB optimization toolbox-FMINCON typical function optimization algorithm to solve multi-objective multi-variable optimization problem to solve in this paper mainly with the constraints conditions,the hydrogen car a minimum energy consumption problem.Subsequently proposed a modified PSO-ALiPSO (adaptive correlation PSO) optimization algorithm, the hydrogen fuel cell electric vehicle to optimize consumption,and the results were compared FMINCON function optimization, improved optimization results proved ALiPSO algorithm.During the braking of car,analysis of electric vehicles during brakingenergy feedback, due to various losses which directly affect the efficiency of energy feedback, in order to provide more sustained energy recovery mileage, you need a variety of motor losses as small as possible, starting from the loss of the motor, electric carmotors through a mathematical model to calculate the efficiency loss model for theanalysis and calculation, the final conclusion.
Keywords/Search Tags:FMINCON, Optimization, ADVISOR, Energy feedback, ALiPSO
PDF Full Text Request
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