CAPACITY LOSS ESTIMATION FOR LI-ION BATTERIES BASED ON A SEMI-EMPIRICAL MODEL

MATHEMATICAL SIMULATION OF ADJACENT-COUPLING AMMONIA ABSORPTIVE REACTOR

Autor/innen

  • Mohammed Rabah Computational Engineering and Analysis (COMEA) Turku University of Applied Sciences 20520 Turku, Finland
  • Eero Immonen Computational Engineering and Analysis (COMEA) Turku University of Applied Sciences 20520 Turku, Finland
  • Sajad Shahsavari Computational Engineering and Analysis (COMEA) Turku University of Applied Sciences 20520 Turku, Finland
  • Mohammad-Hashem Haghbayan Department of Future Technologies University of Turku (UTU) 20500 Turku, Finland
  • Kirill Murashko Department of Environmental and Biologic Science University of Eastern Finland 70211 Kuopio, Finland
  • Paula Immonen Laboratory of Electrical Engineering LUT University 53850 Lappeenranta, Finland

Schlagworte:

SEM (Semi-Empirical Model), LIBs (Li-ion batteries), Closs (Capacity Loss), Cycling Aging, Calendar Aging.

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 predict 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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Veröffentlicht

2021-12-09

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