Experimental Investigation of Fast−Charging Effect on Aging of Electric Vehicle Li−Ion Batteries
Dario Pelosi,
Michela Longo,
Dario Zaninelli and
Linda Barelli ()
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Dario Pelosi: Department of Engineering, University of Perugia, 06125 Perugia, Italy
Michela Longo: Department of Energy, Politecnico di Milano, 20156 Milan, Italy
Dario Zaninelli: Department of Energy, Politecnico di Milano, 20156 Milan, Italy
Linda Barelli: Department of Engineering, University of Perugia, 06125 Perugia, Italy
Energies, 2023, vol. 16, issue 18, 1-14
Abstract:
A huge increase in fast−charging stations will be necessary for the transition to EVs. Nevertheless, charging a battery pack at a higher C−rate impacts its state of health, accelerating its degradation. The present paper proposes a different and innovative approach that considers the daily routine of an EV Li−ion battery based on a standard driving cycle, including charging phases when the depth of discharge is 90%. Through dynamic modeling of the EV battery system, the state of charge evolution is determined for different charging C−rates, considering both real discharging and charging current profiles. Finally, by applying a suitable post−processing procedure, aging test features are defined, each being related to a specific EV battery working mode, including charging at a particular C−rate, considering the global battery operation during its lifespan. It is demonstrated that, according to the implemented procedure, fast−charging cycles at 50 kW reduce battery lifespan by about 17% with respect to charge in a 22 kW three−phase AC column, in parity with the discharge rate. Thus, this work can provide a deep insight into the expected massive penetration of electric vehicles, providing an estimate of battery useful life based on charging conditions.
Keywords: battery aging; dynamic modeling; electric vehicles; Li?ion battery; rainflow cycle counting algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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