JP2021170511A5 - - Google Patents

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Publication number
JP2021170511A5
JP2021170511A5 JP2020073844A JP2020073844A JP2021170511A5 JP 2021170511 A5 JP2021170511 A5 JP 2021170511A5 JP 2020073844 A JP2020073844 A JP 2020073844A JP 2020073844 A JP2020073844 A JP 2020073844A JP 2021170511 A5 JP2021170511 A5 JP 2021170511A5
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JP
Japan
Prior art keywords
storage battery
data
model
power
processing
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Pending
Application number
JP2020073844A
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English (en)
Japanese (ja)
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JP2021170511A (ja
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Application filed filed Critical
Priority to JP2020073844A priority Critical patent/JP2021170511A/ja
Priority claimed from JP2020073844A external-priority patent/JP2021170511A/ja
Priority to PCT/JP2021/015145 priority patent/WO2021210526A1/ja
Priority to CN202180029104.3A priority patent/CN115443573A/zh
Priority to EP21788850.2A priority patent/EP4138173A4/en
Priority to US17/996,277 priority patent/US12443152B2/en
Publication of JP2021170511A publication Critical patent/JP2021170511A/ja
Publication of JP2021170511A5 publication Critical patent/JP2021170511A5/ja
Pending legal-status Critical Current

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JP2020073844A 2020-04-17 2020-04-17 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム Pending JP2021170511A (ja)

Priority Applications (5)

Application Number Priority Date Filing Date Title
JP2020073844A JP2021170511A (ja) 2020-04-17 2020-04-17 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム
PCT/JP2021/015145 WO2021210526A1 (ja) 2020-04-17 2021-04-12 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム
CN202180029104.3A CN115443573A (zh) 2020-04-17 2021-04-12 剩余容量推定装置、模型生成装置、剩余容量推定方法、模型生成方法以及程序
EP21788850.2A EP4138173A4 (en) 2020-04-17 2021-04-12 Remaining capacity estimation device, model generation device, remaining capacity estimation method, model generation method, and program
US17/996,277 US12443152B2 (en) 2020-04-17 2021-04-12 Remaining capacity estimation apparatus, model generation apparatus, and non-transitory computer-readable medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2020073844A JP2021170511A (ja) 2020-04-17 2020-04-17 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム

Publications (2)

Publication Number Publication Date
JP2021170511A JP2021170511A (ja) 2021-10-28
JP2021170511A5 true JP2021170511A5 (https=) 2023-03-28

Family

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JP2020073844A Pending JP2021170511A (ja) 2020-04-17 2020-04-17 残容量推定装置、モデル生成装置、残容量推定方法、モデル生成方法、及びプログラム

Country Status (5)

Country Link
US (1) US12443152B2 (https=)
EP (1) EP4138173A4 (https=)
JP (1) JP2021170511A (https=)
CN (1) CN115443573A (https=)
WO (1) WO2021210526A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024105837A1 (ja) * 2022-11-17 2024-05-23 恒林日本株式会社 機械学習モデル生成装置、及び蓄電池の特性値算出装置

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5366166B2 (ja) 2006-02-09 2013-12-11 株式会社デンソー 二次電池の状態量演算方式
JP2008232758A (ja) 2007-03-19 2008-10-02 Nippon Soken Inc 二次電池の内部状態検出装置及びニューラルネット式状態量推定装置
JP5038258B2 (ja) * 2008-08-25 2012-10-03 日本電信電話株式会社 残容量推定方法および残容量推定装置
FR3010532B1 (fr) * 2013-09-11 2017-06-09 Commissariat Energie Atomique Procede, dispositif et systeme d'estimation de l'etat de charge d'une batterie
KR101617167B1 (ko) 2015-08-12 2016-05-03 한국수력원자력 주식회사 측면 배출게이트가 구비된 플라즈마 용융로
KR102726191B1 (ko) * 2016-10-05 2024-11-06 삼성전자주식회사 배터리 상태 추정 장치 및 방법
JP2019004388A (ja) * 2017-06-16 2019-01-10 株式会社半導体エネルギー研究所 情報処理装置、及び表示方法
US11691518B2 (en) * 2017-07-21 2023-07-04 Quantumscape Battery, Inc. Predictive model for estimating battery states
US11171498B2 (en) 2017-11-20 2021-11-09 The Trustees Of Columbia University In The City Of New York Neural-network state-of-charge estimation
CN111868539A (zh) 2018-03-20 2020-10-30 株式会社杰士汤浅国际 劣化估计装置、计算机程序以及劣化估计方法
US11243262B2 (en) 2018-03-20 2022-02-08 Gs Yuasa International Ltd. Degradation estimation apparatus, computer program, and degradation estimation method
TWI682325B (zh) * 2018-11-20 2020-01-11 新唐科技股份有限公司 辨識系統及辨識方法
CN111220921A (zh) * 2020-01-08 2020-06-02 重庆邮电大学 基于改进卷积-长短时记忆神经网络的锂电池容量估算方法

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