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Direct sizing and characterization of Energy Storage Systems in the Energy-Power plane

Abstract : This paper presents an original sizing method for Energy Storage Systems (ESS) based on directly matching their capabilities– as specified by their energy-power Safe Operation Area (SOA) in the Energy-Power (EP) plane – with the energy and powerdemand required to accomplish their missions. Starting from the system requirements and from an energy management strategy,the power demanded by a set of representative operating scenarios and its associated energy are calculated and represented astrajectories in the EP plane. The objective is to size the ESS such as its SOA contains these trajectories. Comparison betweendifferent technologies of Energy Storage Devices (ESDs) is possible using this SOA characterization. Special attention should bepaid to compare specific SOAs across devices. Diverse energy management strategies can be synthesized in the EP plane where theycan be compared and analyzed. The sizing method converges extremely fast and is suitable for its integration in an optimizationloop. The method allows to determine directly and efficiently the technology and the size most appropriate (in terms of indicatorssuch as mass or cost) to a given EP demand. In the paper, three different technologies (SuperCapacitor, Li-Ion and H2/O2 batteries)are characterized and compared in terms of sizing synthesis.
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Javier M. Cabello, Xavier Roboam, Sergio Junco, Christophe Turpin. Direct sizing and characterization of Energy Storage Systems in the Energy-Power plane. Mathematics and Computers in Simulation, Elsevier, 2018, 158, pp.2-17. ⟨10.1016/j.matcom.2018.04.002⟩. ⟨hal-02330732⟩



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