Online estimation of satellite lithium-ion battery capacity based on approximate belief rule base and hidden Markov model

Dao Zhao, Zhijie Zhou, Shuaiwen Tang, You Cao, Jie Wang, Peng Zhang and Yijun Zhang

Energy, 2022, vol. 256, issue C

Abstract: To ensure safety of satellite operation in orbit, it is important to estimate the capacity of lithium-ion battery in time. However, the battery capacity cannot be measured directly in space, and it is continually changing due to the usage that changes with the space environment. Because of the complex electrochemical side reactions inside battery, it is difficult to establish an accurate model. To solve the above problems, eight features from battery usage of three processes are selected to comprehensively depict the change of battery capacity. Taking the battery capacity as hidden state, an online estimation model is proposed based on approximate belief rule base and hidden Markov model by using historical data and expert knowledge. Based on the performance test data of a certain type of satellite battery, the effectiveness of the proposed model is verified. The capacity of an in-orbit satellite battery is estimated and analyzed by using the telemetry data.

Keywords: Belief rule base; Hidden markov model; Satellite; Battery capacity; Estimation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:256:y:2022:i:c:s0360544222015353

DOI: 10.1016/j.energy.2022.124632

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