Estimation of state of health of lithium-ion batteries based on charge transfer resistance considering different temperature and state of charge
By Xueyuan Wang, Xuezhe Wei, Haifeng Dai. Journal of Energy Storage, 2019
218 citations recorded by the source corpus.
Abstract State of health diagnosis and estimation of lithium-ion batteries is a key feature of an advanced battery management system. Electrochemical impedance spectroscopy is frequently used for the state of health diagnosis and estimation. In the paper, the charge transfer resistance of the battery is obtained by fitting the impedance spectroscopy with an equivalent impedance model to estimate state of health. And an analytical calculation model with temperature and state of charge as inputs is derived and verified considering their effect on the charge transfer resistance. With the calculation model, the charge transfer resistance at randomly selected state of charge and temperature is converted to the standard state to be comparable for the state of health estimation. It is indicated that state of health estimated with the converted and the direct fitted charge transfer resistance agree well. The battery state of health estimation method with the converted charge transfer resistance eliminates the need to specifically control the temperature and state of charge during the impedance spectrum measurement. It benefits the practical application of the state of health estimation with electrochemical impedance spectroscopy.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/5f9f62fc5b21b70b0bb8be88ec0245ba4d5d7b70
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In Automotive Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Building Safe Lithium-Ion Batteries for Electric Vehicles: A Review (2019, background): “Rather than just focusing on safer materials for LIBs, it is necessary to develop real-time internal state monitoring methods to keep track of the cell’s state of charge (SOC) [22] and state of health (SOH) [23], electrolyte leakage [24], dendrite growth [25], etc.”