Online estimation of satellite lithium-ion battery capacity based on approximate belief rule base and hidden Markov model. (1st October 2022)

• Record Type: Journal Article
• Authors: Zhao, Dao; Zhou, Zhijie; Tang, Shuaiwen; Cao, You; Wang, Jie; Zhang, Peng; Zhang, Yijun
• Is Part Of: Energy. Volume 256(2022)
• Publication Date: 2022-10-01
• Subjects: Belief rule base -- Hidden markov model -- Satellite -- Battery capacity -- Estimation; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2022.124632
• Languages: English
• ISSNs: 0360-5442

Abstract

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. Highlights: Battery usage features are extracted to depict the influence on capacity change. An iterative estimation model based on ABRB-HMM is proposed. Battery performance test data is used to verify the effectiveness of the model. Battery capacity of an in-orbit satellite is estimated by telemetry data.