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Energies 2017, 10(7), 987;

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

Department of Electrical Engineering, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung 80424, Taiwan
Author to whom correspondence should be addressed.
Received: 15 June 2017 / Revised: 8 July 2017 / Accepted: 9 July 2017 / Published: 13 July 2017
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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. View Full-Text
Keywords: coulomb counting; calibration procedures; lithium-ion battery; state-of-charge (SOC); state-of-health (SOH) coulomb counting; calibration procedures; lithium-ion battery; state-of-charge (SOC); state-of-health (SOH)

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Wu, T.-H.; Moo, C.-S. State-of-Charge Estimation with State-of-Health Calibration for Lithium-Ion Batteries. Energies 2017, 10, 987.

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