著者

髙橋 和輝 苗 山 片山 昇

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌D(産業応用部門誌) (ISSN:09136339)

巻号頁・発行日

vol.141, no.12, pp.1011-1012, 2021-12-01 (Released:2021-12-01)

参考文献数

2

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This study proposes a method to estimate the states-of-charge (SoCs) and states-of-temperature (SoTs) of secondary batteries using neural networks and electrochemical impedance spectroscopy. The impedances in the frequency range of 100mHz-10kHz of a general lithium-ion battery were measured for various SoCs and SoTs and used for training a neural network with two hidden layers. The performance was evaluated using the measured impedances that were not used for the training. The mean square errors obtained were 2.094% and 0.511°C for SoC and SoT respectively.