Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)

Capacity loss estimation for li-ion batteries based on a semi-empirical model




Julkaisun tekijät: Rabah Mohammed, Immonen Eero, Shahsavari Sajad, Haghbayan Mohammad-Hashem, Murashko Kirill, Immonen Paula

Konferenssin vakiintunut nimi: European Conference on Modelling and Simulation

Kustantaja: European Council for Modelling and Simulation

Julkaisuvuosi: 2021

Journal: Proceedings: European Conference for Modelling and Simulation

Kirjan nimi *: Proceedings of the 35th ECMS International Conference on Modelling and Simulation ECMS 2021

Tietokannassa oleva lehden nimi: Proceedings - European Council for Modelling and Simulation, ECMS

Sarjan nimi: Communications of the ECMS

Numero sarjassa: 1

Volyymi: 35

ISBN: 978-3-937436-72-2

ISSN: 2522-2414

DOI: http://dx.doi.org/10.7148/2021-0235

Verkko-osoite: http://www.scs-europe.net/dlib/2021/ecms2021acceptedpapers/0235_simo_ecms2021_0036.pdf

Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/66341359


Tiivistelmä

Understanding battery capacity degradation is instrumental for designing modern electric vehicles. In this paper, a Semi-Empirical Model for predicting the Capacity Loss of Lithium-ion batteries during Cycling and Calendar Aging is developed. In order to redict the Capacity Loss with a high accuracy, battery operation data from different test conditions and different Lithium-ion batteries chemistries were obtained from literature for parameter optimization (fitting). The obtained models were then compared to experimental data for validation. Our results show that the average error between the estimated Capacity Loss and measured Capacity Loss is less than 1.5% during Cycling Aging, and less than 2% during Calendar Aging. An electric mining dumper, with simulated duty cycle data, is considered as an application example.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Last updated on 2022-07-04 at 16:19