Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

Joris De Hoog, Joris Jaguemont, Mohamed Abdel-Monem, Peter Van Den Bossche, Joeri Van Mierlo and Noshin Omar
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Joris De Hoog: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Ixelles 1050, Belgium
Joris Jaguemont: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Ixelles 1050, Belgium
Mohamed Abdel-Monem: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Ixelles 1050, Belgium
Peter Van Den Bossche: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Ixelles 1050, Belgium
Joeri Van Mierlo: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Ixelles 1050, Belgium
Noshin Omar: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Ixelles 1050, Belgium

Energies, 2018, vol. 11, issue 4, 1-15

Abstract: Fast charging is an exciting topic in the field of electric and hybrid electric vehicles (EVs/HEVs). In order to achieve faster charging times, fast-charging applications involve high-current profiles which can lead to high cell temperature increase, and in some cases thermal runaways. There has been some research on the impact caused by fast-charging profiles. This research is mostly focused on the electrical, thermal and aging aspects of the cell individually, but these factors are never treated together. In this paper, the thermal progression of the lithium-ion battery under specific fast-charging profiles is investigated and modeled. The cell is a Lithium Nickel Manganese Cobalt Oxide/graphite-based cell (NMC) rated at 20 Ah, and thermal images during fast-charging have been taken at four degradation states: 100%, 90%, 85%, and 80% State-of-Health (SoH). A semi-empirical resistance aging model is developed using gathered data from extensive cycling and calendar aging tests, which is coupled to an electrothermal model. This novel combined model achieves good agreement with the measurements, with simulation results always within 2 °C of the measured values. This study presents a modeling methodology that is usable to predict the potential temperature distribution for lithium-ion batteries (LiBs) during fast-charging profiles at different aging states, which would be of benefit for Battery Management Systems (BMS) in future thermal strategies.

Keywords: 3D-thermal model; Nickel Manganese Cobalt (NMC); aging; fast-charging; impedance model (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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