State of charge estimation for pulse discharge of a LiFePO4 battery by a revised Ah counting. (1st January 2015)

• Record Type: Journal Article
• Authors: Yang, Naixing; Zhang, Xiongwen; Li, Guojun
• Is Part Of: Electrochimica acta. Volume 151(2015)
• Page Start: 63
• Page End: 71
• Publication Date: 2015-01-01
• Subjects: Lithium ion battery -- State of charge (SOC) -- Ah counting -- Discharge capacity -- Pulse discharge; Electrochemistry -- Periodicals; Electrochemistry, Industrial -- Periodicals; 541.37
• DOI: 10.1016/j.electacta.2014.11.011
• Languages: English
• ISSNs: 0013-4686

Abstract

Highlights: A revised Ah counting method is proposed for SOC estimation. The new method can capture the dynamic response of SOC during pulse discharge. The method accuracy for SOC estimation is evaluated by different pulses. The error of the estimated discharge time with the method is less than 3.8%. Abstract: Tracing the battery's state of charge (SOC) accurately in real-time is a vital requirement for safe and reliable battery management. This paper proposes a revised Ah counting method for SOC estimation by correlating the available capacity with the amount of dischargeable lithium (Li) in the electrode particles. The revised Ah counting method can capture the dynamic responses of SOC during the pulse discharge operations. The calculated discharge capacities for a LiPFeO4 battery with the revised Ah counting method are in close agreement with the measured values giving the maximum error by 1.1%. The changes in the unavailable Li in a carbon particle are analyzed. The results show that the variation of unavailable capacity is a gradual process during the pulse discharge. The accuracy of the traditional Ah counting and the revised Ah counting for SOC estimation are evaluated with the constant current pulse and the variable current pulses at different environment temperatures. The results indicate that the revised Ah counting method performs better synchronism than that of traditional Ah counting method. The maximum error of the estimated discharge time with the proposed method is less than 3.8% compared to the experimental measurement.