Abstract. An algorithm of spacecraft lithium-ion battery state of charge estimation without current sensor is presented. It is shown that average current flowing through the battery over the discharge period may be estimated based on a model of battery state of charge. The input data for the algorithm are an estimate of the average battery voltage for the period from the beginning of the discharge to the current time and the measured voltage of the batteries. The calculated average discharge current makes it possible to calculate the given and remaining capacity of the battery. The algorithm accuracy check is performed using the NASA randomized battery usage data set. The error in assessing the degree of charge of a lithium-ion storage battery comprises from 2.2 to 11%.

Keywords: lithium-ion battery, integrating ampere-hour counter, state of charge, remaining capacity, internal resistance, microcontroller

References:

1. Lee J., Nam O., Cho B. J. Power Sources, 2007, no. 174, pp. 9–15.
2. Zhang C. et al. Energies, 2012, no. 5, pp. 1098–1115.
3. Yu Z., Huai R., Xiao L. Energies, 2015, no. 8, pp. 7854–7873, DOI:10.3390/en8087854.
4. Sun F. et al. Energies, 2011, no. 36, pp. 3531–3540.
5. He H. et al. IEEE Transactions on Vehicular Technology, 2011, no. 60, pp. 1461–1469.
6. Mastali M. et al. J. Power Sources, 2013, no. 239, pp. 294–307.
7. Chang W.Y. International Review of Electrical Engineering, 2012, no. 5(7), pp. 5800–5874.
8. Khandorin M.M., Bukreev V.G. Aerospace Instrument-Making, 2017, no. 3, pp. 45–55. (in Russ.)
9. He H., Xiong R., Fan J. Energies, 2011, no. 4, pp. 582–598.
10. Khandorin M.M., Bukreev V.G. Siberian Aerospace Journal, 2014, no. 1(53), pp. 94–97. (in Russ.)
11. Khandorin M.M. Bukreev V.G. Electrochemical Energetics, 2014, no. 2(14), pp. 65–69. (in Russ.)
12. Khandorin M.M. Bukreev V.G. Proceedings of the TUSUR University. 2017, no. 2(21), pp. 120–122. (in Russ.)
13. Bole B., Kulkarni C., Daigle M. Randomized Battery Usage Data Set. NASA Ames Prognostics Data Repository, NASA Ames Research Center, Moffett Field, CA, http://ti.arc.nasa.gov/project/prognostic-data-repository .
14. Kim M. et al. IFAC-PapersOnLine, 2018, no. 28(51), pp. 404-408.