Goud, Saikrishna J and Kalpana, R and Singh, Bhim (2021) An Online Method of Estimating State of Health of a Li-Ion Battery. Transactions on Energy Conversion. ISSN 0885-8969

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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 paper 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

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