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Accurate estimation of the state of charge (SOC) and state of health (SOH) iscrucial for the safe and reliable operation of batteries. However, themeasurement bias of voltage can highly deteriorate the estimation accuracy. Onesuch example is the lithium iron phosphate (LFP) battery, which is highly proneto suffer from this issue owing to its flat open-circuit voltage curve. Thiswork proposes a bias-compensated framework that reliably estimates the SOC andSOH of LFP batteries under the influence of voltage measurement bias. Tovalidate the proposed approach, four LFP batteries are tested at variousambient temperatures and SOH conditions, with two different values of voltagemeasurement bias added. The results show that the bias-compensated algorithmachieves test errors that are less than 1.5% and 2% for SOC and SOH estimation,respectively. Additionally, the proposed approach outperforms the traditionalestimation method that ignores the effects of voltage measurement bias.

Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries