A wavelet-fuzzy based energy management for fuel cell hybrid power train

Fuel cell 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. With the addition of ESS to accommodate fluctuations in transient power requirements, fuel cells can be miniaturized to meet average power demand without peak load. This study focuses on fuel cell powered vehicle systems which is equipped with a lithium battery as a secondary energy storage device. In order to optimize fuel consumption and vehicle durability in high power hybrid systems, an advanced energy management strategy is proposed to allocate the vehicle's power needs. In this paper, the common control strategies of hybrid fuel-electric locomotive are studied, and a new energy distribution strategy based on wavelet-fuzzy logic is designed. Through the secondary development of advanced vehicle simulator tool (ADVIDOR) on MATLAB and Simulink, the fuel cell battery locomotive model was established and compared to verify the proposed control strategy under the proposed quality factor.