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.

中文翻译：

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一种估计锂离子电池健康状态的在线方法

锂离子电池在可再生能源系统和电动汽车领域中发挥着至关重要的作用。这些系统的可靠性取决于电池管理系统（BMS），该系统可有效监视充电状态（SoC）和运行状况（SoH）。提前了解电池的SoH可以提高系统可靠性。本文提出了一种在线准确估算太阳能电池系统（SPV）中集成的锂离子电池的SoH的方法。所提出的方法使用改进的库仑计数方法来估计电池的SoH。考虑到老化因素，例如温度，充电/放电速率和放电深度，在MATLAB / Simulink中模拟了拟议的SoH估计方法。而且，