Optimized Energy Management Strategy Based on Online Extremum Tracking for a PEMFC-Battery Power System

This study addresses an optimized energy management strategy (EMS) based on online extremum tracking for a hybrid power system. The proton exchange membrane fuel cell (PEMFC) is a multi-physics system, and thus, its electric performance varies with changing operating conditions. In order to ensure an optimal power distribution between PEMFC and battery, the PEMFC operating conditions has been considered in this paper. And an adaptive recursive least square (ARLS) technique is utilized to seek the variation in performance of PEMFC for finding the maximum efficiency and power operation points. This technique is used into the equivalent hydrogen consumption minimization strategy (ECMS) to make the PEMFC operate as far as possible in the high efficiency region. On the experimental platform of hybrid power system consists of PEMFC, battery, energy management controller, etc., the proposed adaptive ECMS (A-ECMS) has been successfully validated with the experimental results. And compared with the ECMS, the proposed optimized EMS can get more satisfactory results. Such as, improving PEMFC operating efficiency, reducing hydrogen consumption, etc.