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Optimal Matching Design Of Tram Fuel Cell Hybrid System

Posted on:2019-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:S Y ZhouFull Text:PDF
GTID:2322330566962874Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Along with the development of the economy,expanding city size,traffic congestion and poor air quality have become problems in every large and medium-sized city development,and at the same time with the people's growing demand for a better life.In order to facilitate residents' travel and reduce environmental pollution,many cities have been developing urban public transportation such as subways,light rails,trams,and maglev trains.The development of urban rail transit and the application of new energy are an effective way to solve urban congestion and air pollution.Therefore,urban rail transit based on new energy has become a key national development direction.As one of the effective ways to alleviate urban traffic congestion and air pollution,fuel cell hybrid tram have received increasing attention.The research of fuel cell hybrid system which as a core component of fuel cell hybrid tram is significant,However,there is still a lack of effective matching design methods for rail transit fuel cell hybrid power systems,which seriously affects the performance,efficiency,and economy of rail transit power systems.This paper mainly studies the optimal matching design of the tram fuel cell hybrid system.The main tasks are as follows:A simulation model of fuel cell hybrid power system is established based on the topological structure of fuel cell,battery and supercapacitor.A locomotive dynamic model is established.Combined with line data,vehicle design parameters and dynamic performance index,the way of face to face meeting is applied to calculate the dynamic cycle condition of tram under full acceleration.The optimal configuration scheme of tram fuel cell hybrid system considering whole-life-cycle cost is proposed.A multi-objective and multi-constrained optimization configuration model for fuel cell hybrid power systems was established.The objective of this model is to minimize the volume/weight,and to minimize the life cycle cost.At the same time,considering the vehicle power demand,real-time power balance,bus voltage matching,fuel cell output,charge and discharge of stored energy,and SOC limit under all operating conditions Constrained.The rain flow counting method is used to calculate the equivalent cycle life of the battery when considering the system replacement cost.An enumeration method is used to obtain the Pareto front edge,and the compromise solution is calculated using the fuzzy membership degree as the recommended system configuration scheme.Finally,taking a practical line as an example,this paper calculates the dynamic cycling condition based on actual line data and vehicle design parameters.By using the hybrid system optimization matching model gives the recommended scheme,simulation results show that the fuel cell hybrid system configuration can meet the demand conditions and design parameters,can effectively improve the whole life cycle of the economy,it has important reference value to the design and operation of trams on hybrid fuel cell.
Keywords/Search Tags:fuel cell hybrid tram, whole-life-cycle cost, system configuration, Multi-objective optimization
PDF Full Text Request
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