This paper presents a set of time-domain electrical equivalent circuit models for battery voltage prediction under arbitrary current profiles. The circuit model is composed by passive electrical components like resistance, inductance and capacitance. The constant phase elements are introduced in the model, which are usually used in electrochemical impedance spectroscopy analysis to describe the electrical property of double layer capacitors between electrode and electrolyte. The aim of the paper is the modeling in the time-domain of the constant phase elements. Two models are proposed. Model's accuracy and run speed are evaluated by comparing experimental results obtained by an appropriate testbed and simulation results obtained by the implementation and the execution of the model using Matlab software.
Modeling and simulation of Constant Phase Element for battery Electrochemical Impedance Spectroscopy / Locorotondo, E.; Pugi, L.; Berzi, L.; Pierini, M.; Scavuzzo, S.; Ferraris, A.; Airale, A. G.; Carello, M.. - ELETTRONICO. - (2019), pp. 225-230. (Intervento presentato al convegno 5th International Forum on Research and Technologies for Society and Industry, RTSI 2019 tenutosi a ita nel 9-12 September 2019) [10.1109/RTSI.2019.8895597].
Modeling and simulation of Constant Phase Element for battery Electrochemical Impedance Spectroscopy
Scavuzzo S.;Ferraris A.;Airale A. G.;Carello M.
2019
Abstract
This paper presents a set of time-domain electrical equivalent circuit models for battery voltage prediction under arbitrary current profiles. The circuit model is composed by passive electrical components like resistance, inductance and capacitance. The constant phase elements are introduced in the model, which are usually used in electrochemical impedance spectroscopy analysis to describe the electrical property of double layer capacitors between electrode and electrolyte. The aim of the paper is the modeling in the time-domain of the constant phase elements. Two models are proposed. Model's accuracy and run speed are evaluated by comparing experimental results obtained by an appropriate testbed and simulation results obtained by the implementation and the execution of the model using Matlab software.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2816974