An Online Method of Estimating State of Health of a Li-Ion Battery
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Date
2021
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Journal ISSN
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Publisher
Institute of Electrical and Electronics Engineers Inc.
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.
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Keywords
Charging (batteries), Ions, Lithium compounds, Lithium-ion batteries, Photovoltaic cells, Reliability, Renewable energy resources, Coulomb counting method, Depth of discharges, Estimation methods, Experimental prototype, On-line estimation, Renewable energy systems, Solar photovoltaic system, System reliability, Battery management systems
Citation
IEEE Transactions on Energy Conversion, 2021, 36, 1, pp. 111-119