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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Capacity Loss Estimation For Li-Ion Batteries Based On A
Semi-Empirical Model |
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Authors: |
Mohammed Rabah, Eero Immonen, Sajad Shahsavari, Mohammad-Hashem Haghbayan, Kirill Murashko, Paula Immonen |
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Published in:
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(2021). ECMS 2021,
35th Proceedings DOI: http://doi.org/10.7148/2021 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-72-2 Communications of the ECMS , Volume 35, Issue 1, June 2021, United Kingdom |
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Citation
format: |
Mohammed Rabah,
Eero Immonen, Sajad Shahsavari, Mohammad-Hashem Haghbayan, Kirill Murashko, Paula Immonen (2021). Capacity Loss Estimation For Li-Ion
Batteries Based On A Semi-Empirical Model, ECMS
2021 Proceedings Edited By: Khalid Al-Begain, Mauro
Iacono, Lelio Campanile, Andrzej Bargiela European
Council for Modeling and Simulation. doi:
10.7148/2021-0235 |
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DOI: |
https://doi.org/10.7148/2021-0235 |
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Abstract: |
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. |
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