期刊
APPLIED ENERGY
卷 178, 期 -, 页码 1-8出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.06.031
关键词
Battery management system (BMS); State of energy (SOE); State of charge (SOC); Maximum available energy
资金
- Automotive Australia Cooperative Research Centre (AutoCRC)
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. (C) 2016 Elsevier Ltd. All rights reserved.
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