| Citation: | CHEN Jinglong, WANG Rixin, LI Yuqing, et al. A state of health estimation method for satellite battery based on smooth and discharge applicative increment capacity analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(10): 2058-2067. doi: 10.13700/j.bh.1001-5965.2020.0376(in Chinese)
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Aimed at the large error when using Increment Capacity Analysis (ICA) to estimate the State of Health (SOH) of satellites battery, this paper proposes an advanced SOH estimation method based on Smooth and Discharge applicative Increment Capacity Analysis (SD-ICA). First, the proposed method does the smoothing processing to the low-resolution telemetry data by using the fitting results of the smooth spline functions which have the continuous second-order derivative. Thus the calculation accuracy is improved. Then, in consideration of the limitation that ICA must use the micro current discharge data, the IC calculation method under load conditions is deduced, which reduces the requirements for the satellite battery discharge conditions. Finally, a linear regression relationship between the battery capacity and Features of Interest 1 (FOI 1) of IC curve is found and used to estimate the SOH of the satellite battery. The results show that the proposed SOH estimation method can accurately obtain the battery SOH from satellite telemetry data. In addition, this method is easy to calculate, has low requirements for sampling resolution, and does not need to add battery working conditions. Therefore, it is valuable for battery health management and mission planning of satellite.
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