Novel methods for estimating lithium-ion battery state of energy and maximum available energy

Linfeng Zheng, Jianguo Zhu, Guoxiu Wang, Tingting He and Yiying Wei

Applied Energy, 2016, vol. 178, issue C, 8 pages

Abstract: The battery state of energy (SOE) allows a direct determination of the ratio between the remaining and maximum available energy of a battery, which is critical for energy optimization and management in energy storage systems. In this paper, the ambient temperature, battery discharge/charge current rate and cell aging level dependencies of battery maximum available energy and SOE are comprehensively analyzed. An explicit quantitative relationship between SOE and state of charge (SOC) for LiMn2O4 battery cells is proposed for SOE estimation, and a moving-window energy-integral technique is incorporated to estimate battery maximum available energy. Experimental results show that the proposed approaches can estimate battery maximum available energy and SOE with high precision. The robustness of the proposed approaches against various operation conditions and cell aging levels is systematically evaluated.

Keywords: Battery management system (BMS); State of energy (SOE); State of charge (SOC); Maximum available energy (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:178:y:2016:i:c:p:1-8

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DOI: 10.1016/j.apenergy.2016.06.031

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