A Method for Optimizing the Configuration of Fuel Cell Hybrid Trains

Capacity configuration is an important step in the design of hybrid trains, which directly affects the operational stability and economy of the train. In this study, a capacity configuration method for fuel cell hybrid trains considering train performance and economy is proposed. The characteristics of train demand energy and power under acceleration, cruising, and hill-climbing conditions, as well as the characteristics of the corresponding power sources, are analyzed to establish the corresponding allocation principles. The constraints of the train under different acceleration, cruising, and range conditions are studied, and the differences in power system mass and other aspects due to different capacity configuration combinations are considered, and each configuration combination is verified in a differentiated manner. The optimization objective of this study is to minimize the total cost, and the energy management strategy of Pontryagin's minimization principle(PMP) is used in comparing the fuel cell consumption, and a particle swarm algorithm is used to obtain its optimal solution. The cost differences and configuration differences arising from the different operation methods are analyzed in terms of whether the initial and final values of SOC change in conjunction with the operating road conditions.