IP Library › Granted Patent US 11,431,199
Granted Patent B2
US 11,431,199 · App. 16/753,872 · Granted Aug 30, 2022

Power feeding device, electronic device, and operation method of power feeding device

Inventors: Koji Kusunoki (Kanagawa, JP); Toshiyuki Isa (Kanagawa, JP); Akihiro Chida (Kanagawa, JP); Kouhei Toyotaka (Kanagawa, JP); Ryota Tajima (Kanagawa, JP)
Assignee: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.
H02J50/10H02J7/00032H02J7/00034H02J7/04H02J50/40H01F27/346
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Quick Facts
Patent No.
US 11,431,199
App. No.
16/753,872
Granted
Aug 30, 2022
Kind
B2
Abstract

Deterioration of a storage battery included in an electronic device is reduced. Power consumption of an electronic device is reduced. A power feeding device having excellent performance is provided. The power feeding device includes a power feeding coil, a control circuit, and a neural network and has a function of charging a storage battery with a wireless signal supplied by the power feeding coil. The control circuit has a function of estimating a remaining capacity value of the storage battery, the control circuit has a function of supplying the estimated remaining capacity value to the neural network, the neural network outputs a value corresponding to the supplied remaining capacity value to the control circuit, the control circuit determines a charge condition for the storage battery on the basis of the value output by the neural network, and the power feeding device has a function of charging the storage batten under the determined charge condition.

Claims (61)

1. A power feeding device comprising:

a power feeding coil;

a control circuit;

a neural network; and

a memory,

wherein the power feeding device is configured to charge a storage battery with a wireless signal supplied by the power feeding coil,

wherein the power feeding device is configured to accumulate data such as a battery charge frequency, a charge start time, and a remaining capacity value of the storage battery at a timing when charging is started, the data being linked with time,

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 judge a tendency of the remaining capacity value on the basis of the accumulated data,

wherein when a state where the remaining capacity value at the time of starting charging is high occurs frequently, the neural network outputs a value corresponding to a charge condition of a low charge rate 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,

wherein when the charge condition is not approved by the user, the power feeding device is supplied with a signal indicating non-approval, and

wherein the memory comprises a transistor including a metal oxide containing indium in a channel formation region.

2. A power feeding device comprising:

a power feeding coil;

a control circuit;

a neural network; and

a memory,

wherein the power feeding device is configured to charge a first storage battery and a second storage battery with a wireless signal supplied by the power feeding coil,

wherein the power feeding device is configured to accumulate data such as a battery charge frequency, a charge start time, and remaining capacity values of the first and second storage batteries at a timing when charging is started, the data being linked with time,

wherein the control circuit is configured to estimate a remaining capacity value of the first storage battery and a remaining capacity value of the second storage battery on the basis of the accumulated data,

wherein the control circuit is configured to supply the estimated remaining capacity value of the first storage battery and the estimated remaining capacity value of the second storage battery to the neural network,

wherein the neural network is configured to judge a tendency of the remaining capacity values on the basis of the accumulated data,

wherein the neural network outputs a first value corresponding to the supplied remaining capacity value of the first storage battery and a second value corresponding to the supplied remaining capacity value of the second storage battery to the control circuit,

wherein when the first value is smaller than the second value, the neural network recommends a charge condition that the first storage battery is charged prior to the second storage battery,

wherein when the charge condition is approved by a user, the control circuit is configured to charge the first and second storage batteries under the approved charge condition,

wherein when the charge condition is not approved by the user, the power feeding device is supplied with a signal indicating non-approval, and

wherein the memory comprises a transistor including a metal oxide containing indium in a channel formation region.

3. A system comprising:

a storage battery; and

a power feeding device,

wherein the storage battery is charged by the power feeding device,

wherein the power feeding device comprises a power feeding coil, a control circuit, a neural network, and a memory,

wherein the power feeding device is configured to charge the storage battery with a wireless signal supplied by the power feeding coil,

wherein the power feeding device is configured to accumulate data such as a battery charge frequency, a charge start time, and a remaining capacity value of the storage battery at a timing when charging is started, the data being linked with time,

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 judge a tendency of the remaining capacity value on the basis of the accumulated data,

wherein when a state where the remaining capacity value at the time of starting charging is high occurs frequently, the neural network outputs a value corresponding to a charge condition of a low charge rate 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,

wherein when the charge condition is not approved by the user, the power feeding device is supplied with a signal indicating non-approval, and

wherein the memory comprises a transistor including a metal oxide containing indium in a channel formation region.

4. An operation method of a power feeding device comprising a power feeding coil, a control circuit, and a neural network,

wherein a plurality of storage batteries each having an individual identification number are provided in the neighborhood of the power feeding device,

wherein the power feeding device is configured to charge at least one of the plurality of storage batteries with a wireless signal supplied by the power feeding coil, the operation method comprising:

a first step in which the control circuit estimates a remaining capacity value of each of the plurality of storage batteries;

a second step in which the control circuit supplies the estimated remaining capacity value of each of the plurality of storage batteries to the neural network;

a third step in which the neural network outputs values corresponding to the supplied remaining capacity value of each of the plurality of storage batteries to the control circuit;

a fourth step in which the control circuit selects which of the plurality of storage batteries to charge on the basis of the output values and charges the selected storage battery; and

a fifth step in which the control circuit stops charging of the selected storage battery, the first step to the fifth step being one cycle,

wherein the one cycle is repeated a plurality of times,

wherein a set of data in which the individual identification number and the remaining capacity value estimated in the first step are linked with each other is accumulated in the control circuit in the second step every repeated cycle, and

wherein a charge condition is determined using the accumulated set of data in the fourth step.

5. The operation method of a power feeding device, according to claim 4 ,

wherein the control circuit measures time of a clock included in the power feeding device or the storage battery in the first step, and

wherein a set of data in which the individual identification number, the remaining capacity value estimated in the first step, and the time are linked with each other is accumulated in the control circuit in the second step.

6. The operation method of a power feeding device, according to claim 4 ,

wherein the control circuit comprises a memory,

wherein the set of data in which the individual identification number and the remaining capacity value estimated in the first step are linked with each other is accumulated in the memory in the second step, and

wherein the memory comprises a transistor including a metal oxide containing indium in a channel formation region.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 6, 2020
From: KUSUNOKI, KOJI; ISA, TOSHIYUKI; CHIDA, AKIHIRO; TOYOTAKA, KOUHEI; TAJIMA, RYOTA
To: SEMICONDUCTOR ENERGY LABORATORY CO., LTD.
Reel/Frame 052317/0514 →
Priority Claims (1)
JP JP2017-213048 · Nov 2, 2017 · national
Continuity (1)
Related Publication 20200287414A1 · Sep 10, 2020
Cited By (2)
US 12,271,241 US 12,581,693