A comparison of real-time energy management strategies of FC/SC hybrid power source: Statistical analysis using random cycles

This paper presents a comparative study of two promising real-time energy management strategies for fuel cell electric vehicle applications: adaptive equivalent consumption minimization strategy (A-ECMS), and stochastic dynamic programming (SDP). An off-line algorithm –classic - provides reference results. On-line are tested both in simulation using dedicated test bench completely consistent with an scooter powertrain. The hybrid power source combines cell, supercapacitor pack related converters. system model is carefully calibrated experimental data. allows meaningful identification parameters the various strategies. data determined motorcycle certification driving cycle. robustness each then analyzed large number random cycles. Experimental results show that specific SDP approach, based on Markov chain modeling, has best overall performance real-world conditions. It achieves minimum average hydrogen while respecting state-sustaining constraint. Conversely, A-ECMS lack poor indexes when facing unknown real world demand profile. In conclusion, present indicate interesting approach future allocation.