Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries
CoRR(2024)
摘要
Accurate estimation of the state of charge (SOC) and state of health (SOH) is
crucial for the safe and reliable operation of batteries. However, the
measurement bias of voltage can highly deteriorate the estimation accuracy. One
such example is the lithium iron phosphate (LFP) battery, which is highly prone
to suffer from this issue owing to its flat open-circuit voltage curve. This
work proposes a bias-compensated framework that reliably estimates the SOC and
SOH of LFP batteries under the influence of voltage measurement bias. To
validate the proposed approach, four LFP batteries are tested at various
ambient temperatures and SOH conditions, with two different values of voltage
measurement bias added. The results show that the bias-compensated algorithm
achieves test errors that are less than 1.5
respectively. Additionally, the proposed approach outperforms the traditional
estimation method that ignores the effects of voltage measurement bias.
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