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@article{146084,
        author = {JANANI.R and ABINAYA.E and AARTHI.S.K and ASHIKA.U, DR.K.MALA},
        title = {Estimation Of SOC And SOH For Lithium Batteries},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {1286-1291},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146084},
        abstract = {This paper proposes a SOC (State-of-Charge) estimation and temperature detection system for a Li-ion battery cell. By using the proposed VCT detector IC, the battery voltage, current, and temperature could be detected. The sensed voltage and current are used to estimate the SOC using the algorithm in this paper. The computed SOC and detected temperature is revealed on a LCD display by the Arduino MCU module in the mini self-propelled vehicles. To avoid battery failure and keep the battery lifetime, a system needs control its use by considering two of several parameters of Battery Management System (BMS) such as State of Charge (SOH) and State of Health (SOH).The State of Charge in Battery Management System provides the percentage of battery capacity, while the State Of Health measures the battery health. The Thevenin battery model is used to describe polarization characteristic and dynamic behavior of the battery and estimared using KalmanFilter(KF).},
        keywords = {BMS; Battery model; State of Charge; State of Health; Lithium-ion, battery+},
        month = {},
        }