A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Capacity loss estimation for li-ion batteries based on a semi-empirical model
Tekijät: Rabah Mohammed, Immonen Eero, Shahsavari Sajad, Haghbayan Mohammad-Hashem, Murashko Kirill, Immonen Paula
Toimittaja: Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela
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
Kokoomateoksen 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
Vuosikerta: 35
Aloitussivu: 235
Lopetussivu: 242
ISBN: 978-3-937436-72-2
ISSN: 2522-2414
DOI: https://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
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. |  |
