The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2022
Session ID : J191p-01
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Optimization of battery state estimation for micro/nanosatellites based on the internal resistance of a commercial lithium-ion battery
*Yuji YAMAMOTOTatsuya AOKIKikuko MIYATA[in Japanese]Masaki R. YAMAGATA
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Abstract

We demonstrated the feasibility of an on-orbit charge/discharge simulation for an electric power system of CubeSats based on the internal resistance of a commercial cylindrical lithium-ion battery (LIB), which will be installed in the several CubeSats by two kinds of measurements: electrochemical impedance spectroscopy (EIS) and current-rest-method (CRM). Both simulations of SOC based on the internal resistance derived from EIS and CRM were in close agreement with the respective SOC behavior obtained by hardware simulators, indicating that accuracy of the simulations. Furthermore, we also discussed the effects of the internal resistance measurement on the battery state estimation. Meanwhile it was found that the deep consideration of the variation in internal resistance due to cell operation is required to realize an accurate on-orbit simulation, thus further optimization of the simulation with taking account the heat generation during battery operation is required to realize accurate battery management of the electric power supply for CubeSats.

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© 2022 The Japan Society of Mechanical Engineers
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