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Patent Searching and Data


Title:
TRAINING DEVICE, ESTIMATION DEVICE, TRAINING METHOD, ESTIMATION METHOD, TRAINING PROGRAM, AND ESTIMATION PROGRAM
Document Type and Number:
WIPO Patent Application WO/2020/137114
Kind Code:
A1
Abstract:
Provided is this training device provided with: a characteristic acquisition unit which acquires either voltages or capacities of a battery under a plurality of conditions in at least one among charging and discharging of the battery, and characteristics according to a capacity change and a voltage change of the battery; and a training unit which generates an estimation model that is trained about each of relationships between the characteristics and either the voltages or the capacities of the battery under the plurality of conditions, and estimates at least any one among a maximum capacity and a residual capacity of the battery from the characteristics and either the voltages or the capacities of the battery.

Inventors:
TORAI SOICHIRO (JP)
Application Number:
PCT/JP2019/041167
Publication Date:
July 02, 2020
Filing Date:
October 18, 2019
Export Citation:
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Assignee:
YOKOGAWA ELECTRIC CORP (JP)
International Classes:
G01R31/367; G01R31/382; G01R31/385; H01M10/48; H02J7/00; H02J13/00
Foreign References:
JP2017223537A2017-12-21
JPH09236641A1997-09-09
JP2016014588A2016-01-28
JP2017227539A2017-12-28
Other References:
FURUKAWA, TETSUO ET AL.: "Modular Network SOM (mnSOM) : From Vector Space to Function Space", 2005 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, 27 December 2005 (2005-12-27), pages 1581 - 1586, XP010866878
SOICHIRO TORAI ET AL.: "State-of-health estimation of LiFeP0 /graphite batteries based on a model using differential capacity", JOURNAL OF POWER SOURCES, vol. 306, 2016
HO-TA LIN ET AL.: "Estimation of Battery State of Health Using Probabilistic Neural Network", IEEE TRANSACTIONS ON INDUSTRIAL INFORMAICS, vol. 9, no. 2, May 2013 (2013-05-01), XP011487255, DOI: 10.1109/TII.2012.2222650
See also references of EP 3904894A4
Attorney, Agent or Firm:
RYUKA IP LAW FIRM (JP)
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