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Research On Power System Parameter Matching And Transmission Ratio Optimization Based On Genetic Algorithm Of Range-extended Electric Vehicle

Posted on:2015-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:J W LiFull Text:PDF
GTID:2252330428458960Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
The use of a large number of cars worldwide provide great convenience for human life atthe same time caused many environmental problems among which the notably one are tai gaspollution, the greenhouse effect and energy crisis. In recently ten years, energy saving,environmental protection and safety have become three research target in the field oftransportation. Then the research and development of new energy vehicle is triggered,especially Electric Vehicle. Electric Vehicle has the advantages of zero emissions, zeropollution compared to the traditional ICE vehicle. The range of Electric Vehicle has becomethe bottleneck of its promotion. therefore, Extended-range electric vehicle appear.In this paper, an Extended-range electric vehicle is regarded as the research object, thenthe dynamic performance requirements, economy performance requirements and evaluationindex of Extended-range electric vehicle is analyzed using the theoretical knowledge ofvehicle, the power matching work of Extended-range electric vehicle transmission system iscontinued by the reference of a large number of domestic and foreign literatures. The constantpower control strategy model is established by Matlab/Simulink and the simulation task isformulated based on GB/T18385-2005(electric vehicle dynamic performance test method)and GB/T18386-2005(electric vehicle trip range energy consumption rate and test method).The simulation of dynamic performance and the economic performance verified the parametermatching and control strategy. On the analysis of the effect of the vehicle dynamicperformance and economic performance factor, a multi-objective optimization problem isestablished, the transmission ratio is optimized by genetic algorithm, with the help of AVL-Cruise vehicle performance simulation software, the comparsion is showed betweenex-optimization and after optimization.In this paper, the genetic algorithm and the Cruise vehicle simulation software is appliedto the power transmission system matching of Extended-range electric vehicle, different fromthe single optimization objectives of the dynamic performance or economic performance inthe past, this paper get the optimum transmission ratio based on the dynamic performance andeconomic performance. The simulation result show that the vehicle performance is better bythe use of Cruise which provide a powerful tool for the development of Extended-rangeelectric vehicle and give a reference for the power transmission system matching of theExtended-range electric vehicle.
Keywords/Search Tags:Extended-range electric vehicle, parameter matching, control strategy, Geneticalgorithm
PDF Full Text Request
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