The battery state of health (SOH) is a measure of the battery’s ability to store and deliver electrical energy. Typical SOH methods characterize either the battery power or energy. In this paper, new SOH estimation methods are investigated based on the battery energy represented by the Ampere-hour throughput (Ah). The methods utilize characteristics of the Ah to estimate the battery capacity or the useable energy for state of health estimation. Three new methods are presented and compared. The simulation results indicate the effectiveness of the methods for state of health estimation.
How to Cite
National Science Foundation, American Society for Engineering Education, General Motors
Kim, I. (2010). A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding- Mode Observer. IEEE Transactions on Power Electronics. vol. 25 (4), pp. 1013-1022.
Kim , H., Heo, S., Kang, G. (2010). Available Power and Energy Prediction Using a Simplified Circuit Model of HEV Li-ion Battery. SAE 2010 World Congress & Exhibition, April 13-15, Detroit, MI.
Richards, F. (1959). A flexible growth function for empirical use. Journal of Experimental Botany. vol. 10, pp. 290-300.
Liaw, B., Jungst R., Nagasubramanian, G., Case, H., Doughty, D. (2005). Modeling capacity fade in lithium- ion cells. Journal of Power Sources,vol. 140 (1), pp. 157-161.
Rong, P. and Pedram, M. (2006). An analytical model for predicting the remaining battery capacity of lithium-ion batteries. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 14 (5), pp 441- 451.
Spotnitz, R. (2003). Simulation of capacity fade in lithiumion batteries. Journal of Power Sources, vol. 113, pp. 72-80.
Zhang, Y. Wang, C., Tang, X. (2011). Cycling degradation of an automotive LiFeP04 lithiumion battery. Journal of Power Sources. vol. 196 (3), pp. 1513-1520.
Troltzsch U., Kanoun O., Trankler H. (2006). Characterizing aging effects of lithium-ion batteries by impedance spectroscopy. Electrochimica Acta. vol. 5 (8,9), pp. 1664-1672.
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