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Energies 2017, 10(7), 987; doi:10.3390/en10070987

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
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Received: 15 June 2017 / Revised: 8 July 2017 / Accepted: 9 July 2017 / Published: 13 July 2017
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Abstract

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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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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