| Hydrogen has many advantages, such as rich source, high combustion value, environment friendly and so on. It is considered to be the ultimate energy in future. As a representative of hydrogen energy development and application, the fuel cell has made breakthrough progress with the strong support of governments in recent years. Part of products which fuel cell as the core has entered the commercial. They have been used in the field of aerospace, military, traffic, communication, electric power and household products and so on. In recent years, due to the rapid development of fuel cell technology, especially the successful development of large power fuel cell, the application of fuel cell in rail transit has attracted worldwide attention and research.Fuel cell hybrid locomotive is a very complex system, which involve mechanical, electrical, chemical, control and many other areas, it has a large number of time-varying and nonlinear locomotive components. Therefore, constructing a perfect fuel cell hybrid electric locomotive simulation model and design a suitable control strategy for fuel cell hybrid locomotive has the vital significance to the research and development of locomotive in the future.This paper mainly studies the measurement and analysis of the drivinging cycle of fuel cell hybrid locomotive, problems related to system modeling and the optimization control of fuel cell hybrid locomotive. The main work and conclusions are summarized as follows:(1) Analysis the topology structure of hybrid system, the type of the power system and common form of combination, then analysis and compare the topological structure and type of the power system. Finally, according to the actual situation and consider economic factors, Select the model topology and power equipment.(2) In order to analyze the model of vehicle performance, this paper combined with the actual situation, measure a real operation data of a subway line in a certain area, establish a simulation driving cycle for the fuel cell hybrid locomotive, write a program of driving cycle using MTLAB simulation software, and embedded into the ADVISOR simulation software, to lay the foundation for further study of simulation.(3) Aiming at the deficiency of ADVISOR simulation software in the study of fuel cell hybrid locomotive, this paper carries on two times of development in ADVISOR, to build a relatively perfect fuel cell hybrid electric locomotive simulation model in the MATLAB/SIMULINK simulation environment, which mainly includes the car model, fuel cell model, battery model, motor model, locomotive wheel model and other models. Analysis the overall performance under the power following control strategy base on driving cycle of fuel cell hybrid electric locomotive measured in this paper, gain the average working efficiency of the main parts of the locomotive in the whole process. Establish corresponding comparison model according to the references, through the analysis of relevant comparison, verify the correctness of the model.(4) According to the fuzzy logic control theory, design a fuel cell hybrid electric locomotive control strategy based on T-S fuzzy logic control. The T-S fuzzy logic control strategy’s input variables are locomotive traction motor power demand pmcr and battery state of charge values SOC, its output variable is the ratio of output power of fuel cel K (the output power of the fell cell is K*pmcr). The T-S fuzzy logic control strategy embedded in ADVISOR simulation software is verified base on the simulation system of fuel cell hybrid electric locomotive and driving cycle, The results show that, compared with power following control strategy, the fuel cell hybrid electric locomotive control strategy designed based on the T-S fuzzy logic control can reduce hydrogen consumption in the whole running process, and can improve average efficiency of locomotive components, can effectively improve fuel cell hybrid locomotive vehicle’s economic performance and working performance. |