書誌事項
- タイトル別名
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- State of Charge and State of Temperature Estimation Method for Secondary Batteries Using Neural Networks and Electrochemical Impedance Spectroscopy
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説明
<p>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.</p>
収録刊行物
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- 電気学会論文誌Ｄ（産業応用部門誌）
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電気学会論文誌Ｄ（産業応用部門誌） 141 (12), 1011-1012, 2021-12-01
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390853188957918976
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- NII論文ID
- 130008123533
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- ISSN
- 13488163
- 09136339
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
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- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可