Semi-Empirical Capacity Fading Model for SoH Estimation of Li-Ion Batteries
Source abstract
Abstract
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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Research context
OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · Advanced Battery Materials and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Center for Reliability Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan
Centre for Reliability Science and Technology, Chang Gung University, Wenhua 1st Road, GuishanDist., Taoyuan City 33302, Taiwan
Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan
Department of Electronics Engineering, Chang Gung University, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan
Department of Urology, Chang Gung Memorial Hospital, Guishan, Taoyuan City 33302, Taiwan
Funding
Ministry of Science and Technology, Taiwan
References (32)
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