An adaptive fuzzy logic control strategy for high power hybrid locomotive

Fuel cell (FC) technologies have received considerable attention as an alternative to conventional vehicle systems due to continued concerns over environmental pollution and the depletion of fossil fuels. The combination of FC and energy storage system (ESS) can greatly enhance the dynamic response of the vehicle. This study focuses on fuel cell powered vehicle system which is equipped with lithium batteries as a secondary energy storage system. In order to optimize the fuel consumption and vehicle durability in high power hybrid systems, a power management strategy based on a fuzzy logic controller which is combined with an adaptive compensation strategy. and an equivalent consumption calculation algorithm is proposed for a large-scale and high-power hybrid locomotive. Through the secondary development of advanced vehicle simulator tool on Matlab and Simulink, the fuel cell battery locomotive model is established. The results obtained from ADVISOR platform show that this strategy can manage and coordinate multiple power sources according to their natural characteristics, improve the efficiency of the whole locomotive, and reduce the pressure of the hybrid system.