US 11,817,726 B2
Power feeding device, electronic device, and operation method of power feeding device
Koji Kusunoki, Kanagawa (JP); Toshiyuki Isa, Kanagawa (JP); Akihiro Chida, Kanagawa (JP); Kouhei Toyotaka, Kanagawa (JP); and Ryota Tajima, Kanagawa (JP)
Assigned to SEMICONDUCTOR ENERGY LABORATORY CO., LTD., Kanagawa-ken (JP)
Filed by SEMICONDUCTOR ENERGY LABORATORY CO., LTD., Atsugi (JP)
Filed on Aug. 2, 2022, as Appl. No. 17/879,394.
Application 17/879,394 is a continuation of application No. 16/753,872, granted, now 11,431,199, previously published as PCT/IB2018/058280, filed on Oct. 24, 2018.
Claims priority of application No. 2017-213048 (JP), filed on Nov. 2, 2017.
Prior Publication US 2022/0399726 A1, Dec. 15, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H02J 7/00 (2006.01); H02J 50/10 (2016.01); H02J 7/04 (2006.01); H02J 50/40 (2016.01); H01F 27/34 (2006.01); H02J 50/12 (2016.01); H02J 7/02 (2016.01)
CPC H02J 7/0013 (2013.01) [H02J 7/00032 (2020.01); H02J 7/00034 (2020.01); H02J 7/04 (2013.01); H02J 50/10 (2016.02); H02J 50/40 (2016.02); H02J 50/402 (2020.01); H01F 27/346 (2013.01); H02J 7/0048 (2020.01); H02J 7/02 (2013.01); H02J 50/12 (2016.02)] 2 Claims
OG exemplary drawing
 
1. A system comprising:
a storage battery;
a power feeding device;
a control circuit; and
a neural network,
wherein the storage battery is charged by the power feeding device,
wherein the power feeding device is configured to accumulate data, the data being linked with time,
wherein the data comprises a battery charge frequency, a charge start time, and a remaining capacity value of the storage battery at a timing when charging is started,
wherein the control circuit is configured to estimate a remaining capacity value of the storage battery on the basis of the accumulated data,
wherein the control circuit is configured to supply the estimated remaining capacity value to the neural network,
wherein the neural network is configured to infer a usage tendency of the battery capacity and determine a charge condition,
wherein the neural network outputs a value corresponding to the charge condition to the control circuit,
wherein when the charge condition is approved by a user, the control circuit is configured to charge the storage battery under the approved charge condition, and
wherein when the charge condition is not approved by the user, the power feeding device is supplied with a signal indicating non-approval.