Journal
MICROELECTRONICS RELIABILITY
Volume 53, Issue 6, Pages 811-820Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.microrel.2012.12.003
Keywords
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Funding
- Research Grants Council of the Hong Kong Special Administrative Region, China [CityU8/CRF/09]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1234451] Funding Source: National Science Foundation
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We developed an ensemble model to characterize the capacity degradation and predict the remaining useful performance (RUP) of lithium-ion batteries. Our model fuses an empirical exponential and a polynomial regression model to track the battery's degradation trend over its cycle life based on experimental data analysis. Model parameters are adjusted online using a particle filtering (PF) approach. Experiments were conducted to compare our ensemble model's prediction performance with the individual results of the exponential and polynomial models. A validation set of experimental battery capacity data was used to evaluate our model. In our conclusion, we presented the limitations of our model. (C) 2012 Elsevier Ltd. All rights reserved.
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