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State-of-Charge Estimation with State-of-Health Calibration for Lithium-Ion Batteries

机译:锂离子电池健康状态校准的荷电状态估计

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This research is focused on state-of-charge ( SOC ) estimation with state-of-health ( SOH ) calibration for lithium-ion batteries on the basis of the coulomb counting method. The proposed approach intends to present an easy-to-use solution with high accuracy for estimating battery statuses without the need for demanding calculations or hard-earned databases. To estimate the SOC of an aged battery more accurately, the degradation of its full capacity has to be taken into account. By scheduling the battery’s charging/discharging current and monitoring the battery’s status, the existing full capacity can be updated regularly by regular calibration or occasionally by partial calibration, in which the charging/discharging rates are normalized with the latest updated full capacity to agree with the battery’s statuses. To exclude the misestimation caused by current measuring error, the SOC is reset to 0% when the battery is exhausted and 100% for a fully charged battery. With an updated SOH , the battery C-rate is re-scaled accordingly. Experimental tests are carried out to demonstrate that the proposed approach can provide an accurate online indication of batteries’ SOCs . With an implanted error of 0.3% in current measuring, the SOC estimation error can always be less than 1.905% after a number of SOH calibrations.
机译:这项研究的重点是基于库仑计数法的锂离子电池的荷电状态(SOC)估计和健康状态(SOH)校准。提出的方法旨在提供一种易于使用的高精度解决方案,用于估算电池状态,而无需进行苛刻的计算或来之不易的数据库。为了更准确地估计老化电池的SOC,必须考虑其满容量的下降。通过安排电池的充电/放电电流并监视电池的状态,可以通过定期校准或不定期地通过局部校准来定期更新现有的满容量,其中,将充电/放电速率与最新更新的满容量进行归一化,以便与电池状态。为了排除由电流测量误差引起的错误估计,电池电量耗尽时,SOC重置为0%,充满电的电池重置为100%。使用更新的SOH,电池C速率会相应地重新缩放。进行的实验测试表明,所提出的方法可以提供电池SOC的准确在线指示。在电流测量中植入误差为0.3%的情况下,经过多次SOH校准后,SOC估算误差始终可以小于1.905%。

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