Abstract
The state of charge of battery is a key, basic parameter of the battery management, which represents the current capacity of the battery and is a health criterion for the consistency of each cell. The accurate estimation of SOC will provide effective technical support for extending battery life and enable the battery to give full performance in the best state. In this paper, an optimized OCV-Ah integration method is proposed. It can eliminate the influence of internal resistance on the estimation error and provide an online estimation, which is suitable for space Li-ion battery. Compare to the experimental value, the estimation accuracy of calculated SOC is better than 4%. This method has been applied to the analysis of a space battery, and the fault cell is identified with the performance difference between the cells.
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Fu, D., Hu, L., Han, X., Chen, S., Ren, Z., Yang, H. (2019). OCV-Ah Integration SOC Estimation of Space Li-Ion Battery. In: Sun, S., Fu, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2018. Lecture Notes in Electrical Engineering, vol 550. Springer, Singapore. https://doi.org/10.1007/978-981-13-7123-3_35
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DOI: https://doi.org/10.1007/978-981-13-7123-3_35
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