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A new equivalent circuit model parametrization methodology based on current pulse tests for different battery technologies
With growing global commitment to renewable energy generation, the role of energy storage systems has become a central issue in traction power applications, such as electric vehicles, trains, and elevators. To achieve the optimal integration of batteries in such applications, without unnecessary oversizing, improvements in the process of battery selection are needed. Specifically, it is necessary to develop models able to predict battery performance for each particular application. In this paper, a methodology for the parametrization of a battery equivalent circuit model (ECM) based on capacity and pulse tests is presented. The model can be extrapolated to different battery technologies, and was validated by comparing simulations and experimental tests with lead-acid and lithium-ion batteries.
A new equivalent circuit model parametrization methodology based on current pulse tests for different battery technologies
With growing global commitment to renewable energy generation, the role of energy storage systems has become a central issue in traction power applications, such as electric vehicles, trains, and elevators. To achieve the optimal integration of batteries in such applications, without unnecessary oversizing, improvements in the process of battery selection are needed. Specifically, it is necessary to develop models able to predict battery performance for each particular application. In this paper, a methodology for the parametrization of a battery equivalent circuit model (ECM) based on capacity and pulse tests is presented. The model can be extrapolated to different battery technologies, and was validated by comparing simulations and experimental tests with lead-acid and lithium-ion batteries.
A new equivalent circuit model parametrization methodology based on current pulse tests for different battery technologies
Arregi, Oier (Autor:in) / Agirrezabala, Eneko (Autor:in) / IRAOLA, UNAI (Autor:in) / Milo Urkiola, Aitor / Yeregui, Josu / Nogueras Ferreiro, Unai / Gil, Iñigo
01.01.2021
Energies Vol. 14. N. 21. N. artículo 7255, 2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
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