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State of Charge and Lithium Manganate Batteries Internal Resistance Estimation at Low Charge/discharge rates
Several parameters relating to electric vehicles vary with the state of charge (SOC). In currently commonly used equivalent circuit models, changes of the Ohmic resistance (R0) and polarization resistance (Rp) during charge and discharge are ignored. Therefore, the models only present high accuracy...
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Published in: | International journal of electrochemical science 2021-01, Vol.16 (1), p.151024, Article 151024 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Several parameters relating to electric vehicles vary with the state of charge (SOC). In currently commonly used equivalent circuit models, changes of the Ohmic resistance (R0) and polarization resistance (Rp) during charge and discharge are ignored. Therefore, the models only present high accuracy on specific conditions, which cannot replicate the dynamic characteristics of lithium ion batteries. Parameter identification was performed on open circuit voltage (OCV) and direct-current internal resistance by employing the hybrid pulse power characterization (HPPC) method to improve calculation accuracy. The test result shows that the Ohmic resistance and the total internal resistance are influenced by the rate and the OCV and polarization resistance are significantly affected by the SOC; at different SOCs, the larger the charge and discharge rates are, the larger the polarization resistance of a battery (correspondingly, the greater the change to the curve) and the lower the Ohmic resistance and the total internal resistance of the battery (the less significant the change to their curves). |
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ISSN: | 1452-3981 1452-3981 |
DOI: | 10.20964/2021.01.48 |