Design Of Energy Management Controller For Hybrid Fuel Cell Power Systems

In recent years,many countries have been investing continuously on the research on fuel cell locomotives countries and gain a certain achievement.However,most of studies focus on the construction of small power systems on the basis of vehicle working conditions.Because of the technology complexity in high-power hybrid systems,there is a little relative papers or report at home and abroad;in addition,although there are many theoretical studies on energy management,the energy management strategy applied in practical hybrid systems is simple.Furthermore,many energy management strategies for fuel cell locomotive modeling and simulation are based on fuel cell and battery topologies.There are few studies on energy management strategies based on fuel cell and supercapacitor topologies.In addition,those strategies are not verified in the hardware system.Therefore,it is important to develop a suitable energy management strategy on the basis of the characteristics of the fuel cell and the supercapacitor and to verify the efficiency of the hybrid system and the dynamic performance of the vehicle.The main research work of the hybrid power system and its energy management controller for trams are as follows:?1?Based on the fuel cell and prototype technical parameters,the energy and power requirements under different simulated working conditions is firstly calculated,then the supercapacitor energy storage system is matched and designed.According to the parameters of each part of the power system,the simulation model of the practical hybrid systems is built in Simulink.?2?According to SOE and load power P_load of the supercapacitor,the energy management strategy is stratified.By calculating the acceleration braking energy for the simulated conditions of different line data,the coupling relationship between the train running speed V and the super capacitor the upper and lower limits of SOE is determined.A speed adaptive control strategy based on finite state machine is developed.The dynamic programming algorithm is applied to optimize the control rules.According to the simulation results,the three control strategies are compared and demonstrated.After optimization,the algorithm's fuel cell output is smoother than the power follow-up strategy,and hydrogen consumption is reduced by 3.5%.?3?According to the topology,the experimental platform of hybrid power system is built.Through the integrated PLC energy management controller,the coordinated control of each subsystem of the hybrid system is achieved.The principle of multi-control coordination system and the network communication structure between internal systems are analyzed.The performance of each module in energy manager is verified.?4?Based on the experimental platform of hybrid power system,three energy management strategies are experimentally demonstrated,taking the hydrogen consumption,SOE and fuel cell power variation evaluate the performances,three control strategies are analyzed and compared.