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Title: | An Online Method of Estimating State of Health of a Li-Ion Battery |
Authors: | Goud J.S. Kalpana R. Singh B. |
Issue Date: | 2021 |
Citation: | IEEE Transactions on Energy Conversion , Vol. 36 , 1 , p. 111 - 119 |
Abstract: | Li-ion batteries are playing a crucial role in the fields of renewable energy systems and electric vehicles. The reliability of these systems depends on a battery management system (BMS) which monitors the state of charge (SoC) and state of health (SoH) effectively. Knowing the SoH of a battery in advance enhances the system reliability. This article proposes an accurate online estimation of SoH of a Li-ion battery integrated in solar photovoltaic system (SPV) applications. The proposed method uses the modified coulomb counting method to estimate the SoH of a battery. The proposed SoH estimation method is simulated in MATLAB/Simulink by considering the aging factors such as temperature, charge/discharge rates and depth of discharge. Moreover, the proposed method is validated using an experimental prototype and the results are found to be satisfactory. © 1986-2012 IEEE. |
URI: | https://doi.org/10.1109/TEC.2020.3008937 http://idr.nitk.ac.in/jspui/handle/123456789/16745 |
Appears in Collections: | 1. Journal Articles |
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