Comparative Study Of Energy Management Strategy Based On Value Loss Of Hybrid Power System For Tram

The energy scarcity,environmental pollution and global warming have been challenging and containing the social development due to the rapid growth of the global economy and the surging demand for energy.Therefore,the exploitation and utilization of new energy drew the attention of researchers all over the world.As the proton exchange membrane fuel cell possesses multiple advantages,including high efficiency,environmental protection,low noise,and plentiful fuel resource,it has been widely applied to some fields such as distributed generation,portable power sources and rail transit.Owing to the vehicle power supply system,the fuel cell hybrid power tramway gets rid of overhead contact-line’s power supply and operates without the overhead contact system in the whole process,exploring a promising application in the field of urban rail transit.This thesis investigates the parameter matching,model building and systemic value loss of fuel cell hybrid locomotives.The main work and research results are summarized as follows:(1)The research carries on the modelling of key parts,including fuel cell,lithium battery and unidirectional DC/DC converter,on Matlab/Simulink platform and also builds a hybrid power system model.(2)A value loss evaluation function is constructed by calculating lithium battery value loss,fuel cell value loss,and hydrogen value loss,which can directly analyze and evaluate the value loss of the hybrid power system.(3)The study designs three energy management methods for fuel cell hybrid power system,whose rationality and effectiveness is validated through the simulation presented in the fuel cell hybrid model.(4)With the value loss evaluation function,this study analyzes the value loss of the hybrid power system.Besides,it optimizes the control parameters of the energy management methods by using the particle swarm optimization algorithm.The optimization leads to a significant reduction of the value loss.