Journal
APPLIED SCIENCES-BASEL
Volume 9, Issue 15, Pages -Publisher
MDPI
DOI: 10.3390/app9153012
Keywords
semi-empirical capacity fading model; ECBE model; Li-ion batteries; robust and accurate
Categories
Funding
- Taiwan's Ministry of Science and Technology [MOST 107-2632-E-131-002]
- Chang Gung University [QZRPD123]
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A fast and accurate capacity estimation method for lithium-ion batteries is developed. This method applies our developed semi-empirical model to a discharge curve of a lithium-ion battery for the determination of its maximum stored charge capacity after each discharge cycle. This model provides an accurate state-of-health (SoH) estimation with a difference of less than 2.22% when compared with the electrochemistry-based electrical (ECBE) SoH calculation. The model parameters derived from a lithium-ion battery can also be applied to other cells in the same pack with less than 2.5% difference from the complex ECBE model, showing the extendibility of the model. The parameters (k1, k2, and k3) calculated in the work can also be used to study the changes in battery internal structure, such as capacity losses at normal conditions, as well as cycling at high temperatures. The time for estimation after each discharge cycle is only 5 s, making it is suitable for on-line in-situ estimation.
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