About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper

Modeling of Battery Electric Vehicles for Degradation Studies

In Proceedings of the 54th International Universities Power Engineering Conference — 2019, pp. 1-6
From

Department of Electrical Engineering, Technical University of Denmark1

Center for Electric Power and Energy, Centers, Technical University of Denmark2

Distributed Energy Resources, Center for Electric Power and Energy, Centers, Technical University of Denmark3

The paper characterizes dynamics and modelling of a Lithium-ion battery. Theoretical formulation and literature review are combined to derive the necessary battery characterization. The three main dynamics for modeling the battery are: direct-current electrical equivalent circuit, state-ofcharge (SOC) and thermal dynamic.

Furthermore, the capacity fade caused by degradation is considered as a fourth dynamic. Degradation is considered as the sum of calendar aging and cycling loss dynamics. The modeling procedure has general validity and can be used for different battery chemistries by changing specific parameters. The model is tailored for a 40 kWh Lithium Nickel Manganese Cobalt (NMC) Oxide battery, which is currently used in the Nissan LEAF 2018.

Considering a user driving 45 km/day and the temperature of the years 2017 and 2018 in Denmark, the battery capacity fade is found to be between 2 and 5% of the battery capacity after two years of use. Degradation is highly dependent on the average level of SOC during the years.

Language: English
Publisher: IEEE
Year: 2019
Pages: 1-6
Proceedings: 54th International Universities Power Engineering Conference
ISBN: 1728133483 , 1728133491 , 1728133505 , 9781728133485 , 9781728133492 and 9781728133508
Types: Conference paper
DOI: 10.1109/upec.2019.8893474
ORCIDs: Calearo, Lisa , Thingvad, Andreas and Marinelli, Mattia

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis