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Designing an accurate model for a proton exchange membrane fuel cell (PEMFC) is very difficult owing to its multivariate nature. Hence, PEMFC online system identification (OSI), which serves as a basis for its application in energy management of hybrid fuel cell vehicles, is considerably important to cope with the performance drifts. In this paper, an OSI method is proposed for estimating the time-varying parameters of a well-known PEMFC semi-empirical model in the literature. Unlike the other similar approaches, the proposed technique in this manuscript suggests a Lyapunov-based adaptation law with guaranteed stability to estimate online the fuel cell parameters. To highlight the effectiveness of the suggested approach, it is used to estimate the characteristics of a 500-W Horizon PEMFC and its performance is compared with Kalman filter which is perceived as a reliable linear estimator. Experimental results along with the comparative study prove the successful performance of the suggested technique. [ABSTRACT FROM AUTHOR]

In this paper, a novel energy management system (EMS) for a hybrid power source in a small urban electric vehicle (EV) is presented. The problem is divided in three layers, according to the real-time needs of the system. The long-term management layer dynamically restricts the search space based on a set of rules. The short-term management layer implements the optimization strategy based on a hybrid metaheuristic approach combining particle swarm optimization (PSO) and simulated annealing (SA). The solutions to the optimal power sharing problem are used to generate the power references for the lower layer, i.e., a high-speed dc–dc controller. This controller is developed using a linear-quadratic regulator (LQR). A reduced-scale prototype has been built to analyze the performance of the energy management strategy. The results show the effectiveness of this multilayer EMS allowing to fulfill the requested performance with better source usage and much lower installed capacities. [ABSTRACT FROM PUBLISHER]