Oier Arregi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Oier Arregi has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Aitor Milo
Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), P.ºJ.M. Arizmendiarrieta, 2, 20500 Mondragón, Spain
1 shared publication - Eneko Agirrezabala
Electronics and Computing Department, Mondragon Unibertsitatea, Hernani, Spain
1 shared publication - Iñigo Gil
Department of Electrical Drives and Energy, Orona S. Coop., 20120 Hernani, Spain
1 shared publication - Josu Yeregui
Faculty of Engineering, Electronic and Computing Department, Mondragon Unibertsitatea, Gipuzkoa, Spain
1 shared publication - Roberto Sánchez
Department of Electrical Drives and Energy, Orona S. Coop., 20120 Hernani, Spain
1 shared publication - Unai Iraola
Faculty of Engineering, Electronic and Computing Department, Mondragon Unibertsitatea, Gipuzkoa, Spain
1 shared publication
Latest Publications
- Open Access
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.
Open AccessA 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.