Presentation 2018-11-13
A Study of Degradation Diagnosis of Lithium-ion Battery Using Neural Networks
Masahito Arima, Lei Lin, Masahiro Fukui,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The battery aggregation of lithium-ion battery is studied in order to solve the problem of output fluctuation and time maldistribution of renewable battery, for example, photovoltaic energy. It is necessary for the operational economic efficiency of lithium-ion battery to predict the charge-discharge energy by degradation diagnosis. In this study, we investigated the method of degradation diagnosis using neural networks and decrease the number of the charge-discharge times which needs to be carried out in advance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Lithium-ion battery / Charge-discharge curve / degradation diagnosis / Econimic efficiency prediction
Paper # CAS2018-73,MSS2018-49
Date of Issue 2018-11-05 (CAS, MSS)

Conference Information
Committee MSS / CAS / IPSJ-AL
Conference Date 2018/11/12(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Morikazu Nakamura(Univ. of Ryukyus) / Hideaki Okazaki(Shonan Inst. of Tech.)
Vice Chair Shigemasa Takai(Osaka Univ.) / Taizo Yamawaki(Hitachi)
Secretary Shigemasa Takai(Toshiba) / Taizo Yamawaki(Osaka Univ.) / (Shonan Inst. of Tech.)
Assistant Hideki Kinjo(Okinawa Univ.) / Motoi Yamaguchi(Renesas Electronics)

Paper Information
Registration To Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Circuits and Systems / Special Interest Group on Algorithms
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Degradation Diagnosis of Lithium-ion Battery Using Neural Networks
Sub Title (in English)
Keyword(1) Lithium-ion battery
Keyword(2) Charge-discharge curve
Keyword(3) degradation diagnosis
Keyword(4) Econimic efficiency prediction
1st Author's Name Masahito Arima
1st Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
2nd Author's Name Lei Lin
2nd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
3rd Author's Name Masahiro Fukui
3rd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
Date 2018-11-13
Paper # CAS2018-73,MSS2018-49
Volume (vol) vol.118
Number (no) CAS-295,MSS-296
Page pp.pp.111-114(CAS), pp.111-114(MSS),
#Pages 4
Date of Issue 2018-11-05 (CAS, MSS)