IP Library › Granted Patent US 12,305,399
Granted Patent B2
US 12,305,399 · App. 17/507,062 · Granted May 20, 2025

Charge control system, charge control device, and recording medium

Inventors: Daiki Yokoyama (Gotemba, JP); Daiki Kawachino (Shunto-gun, JP); Shota Tsukamoto (Susono, JP); Rie Yayabe (Susono, JP); Masaaki Sato (Susono, JP)
Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
E04D13/103H02H7/18
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,305,399
App. No.
17/507,062
Filed
Oct 21, 2021
Granted
May 20, 2025
Kind
B2
Art Unit
2859
USPC
320/134
Abstract

A charge control system includes: a charging apparatus including a first processor to cause the charging apparatus to store electric power to be supplied to a preset region; a facility group installed in the region, to be supplied with electric power from the charging apparatus, and including a second processor; and a charge control device including a third processor configured to predict a snowfall amount in the region, calculate a snow removal electric power amount for removing snow covering the facility group based on the predicted snowfall amount, and perform charge control for causing the charging apparatus to store electric power equal to or more than the calculated snow removal electric power amount.

Claims (29)

1. A charge control system comprising:

a charging apparatus including a first processor configured to cause the charging apparatus to store electric power to be supplied to a preset region;

a facility group installed in the preset region, configured to be supplied with electric power from the charging apparatus, and including a second processor; and

a charge control device including a third processor configured to predict a snowfall amount in the preset region, calculate a snow removal electric power amount for removing snow covering the facility group based on the predicted snowfall amount, and perform charge control for causing the charging apparatus to store electric power equal to or more than the calculated snow removal electric power amount.

2. The charge control system according to claim 1 , wherein the third processor predicts an amount of snow covering the facility group to be melted, and calculates the snow removal electric power amount in consideration of the predicted amount of snow to be melted.

3. The charge control system according to claim 1 , wherein

the second processor outputs facility information indicating an operating state of the facility group to the charge control device, and

the third processor is configured to

specify at least one facility in which malfunction has occurred due to snow covering the facility group out of the facility group based on the facility information, and

calculate the snow removal electric power amount in consideration of the number of the facilities in which the malfunction has occurred.

4. A charge control device including a processor configured to:

predict a snowfall amount in a preset region;

calculate a snow removal electric power amount for removing snow covering a facility group installed in the preset region based on the predicted snowfall amount; and

perform charge control for causing a charging apparatus that supplies electric power to the preset region to store electric power equal to or more than the calculated snow removal electric power amount.

5. The charge control device according to claim 4 , wherein the processor predicts an amount of snow covering the facility group to be melted, and calculates the snow removal electric power amount in consideration of the predicted amount of snow to be melted.

6. The charge control device according to claim 4 , wherein the processor is configured to

acquire facility information indicating an operating state of the facility group from the facility group,

specify at least one facility in which malfunction has occurred due to snow covering the facility group out of the facility group based on the facility information, and

calculate the snow removal electric power amount in consideration of the number of the facilities in which the malfunction has occurred.

7. A non-transitory computer-readable recording medium storing a charge control program that causes a processor to:

predict a snowfall amount in a preset region;

calculate a snow removal electric power amount for removing snow covering a facility group installed in the preset region based on the predicted snowfall amount; and

perform charge control for causing a charging apparatus that supplies electric power to the preset region to store electric power equal to or more than the calculated snow removal electric power amount.

8. The non-transitory computer-readable recording medium storing the charge control program according to claim 7 that causes the processor to

predict an amount of snow covering the facility group to be melted, and calculate the snow removal electric power amount in consideration of the predicted amount of snow to be melted.

9. The non-transitory computer-readable recording medium storing the charge control program according to claim 7 that causes the processor to

acquire facility information indicating an operating state of the facility group from the facility group,

specify at least one facility in which malfunction has occurred due to snow covering the facility group out of the facility group based on the facility information, and

calculate the snow removal electric power amount in consideration of the number of the facilities in which the malfunction has occurred.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 21, 2021
From: YOKOYAMA, DAIKI; KAWACHINO, DAIKI; TSUKAMOTO, SHOTA; YAYABE, RIE; SATO, MASAAKI
To: TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 057865/0511 →
Priority Claims (1)
JP 2020-188166 · Nov 11, 2020 · national
Continuity (1)
Related Publication 20220149614A1 · May 12, 2022
References Cited (57)
US 6051812A · Walker · 2000 [cited by examiner]
US 6420978B1 · Shinada et al. · 2002 [cited by applicant]
US 8078330B2 · Brickfield et al. · 2011 [cited by applicant]
US 8666666B2 · Bassa · 2014 [cited by applicant]
US 8798852B1 · Chen · 2014 [cited by applicant]
US 9222984B2 · Iwasaki et al. · 2015 [cited by applicant]
US 9321364B1 · Ashworth · 2016 [cited by examiner]
US 9387772B2 · Usuki et al. · 2016 [cited by applicant]
US 9751418B2 · Nyu · 2017 [cited by applicant]
US 10309329B2 · Tsunoda et al. · 2019 [cited by applicant]
US 11015542B2 · Aoki et al. · 2021 [cited by applicant]
US 11034344B2 · Endo · 2021 [cited by applicant]
US 11214166B2 · Ono et al. · 2022 [cited by applicant]
US 11339734B2 · Muta · 2022 [cited by applicant]
US 11374415B2 · Schweitzer et al. · 2022 [cited by applicant]
US 11433871B2 · Furuya · 2022 [cited by applicant]
US 11668481B2 · Granger et al. · 2023 [cited by applicant]
US 11868144B2 · Wake et al. · 2024 [cited by applicant]
US 12024044B2 · Yokoyama et al. · 2024 [cited by applicant]
US 20060168951A1 · Opris · 2006 [cited by applicant]
US 20060168952A1 · Opris · 2006 [cited by applicant]
US 20080281732A1 · Yamada · 2008 [cited by applicant]
US 20110202217A1 · Kempton · 2011 [cited by applicant]
US 20130057211A1 · Kuribayashi et al. · 2013 [cited by applicant]
US 20130213020A1 · Ishikawa et al. · 2013 [cited by applicant]
US 20130218447A1 · Mayinger · 2013 [cited by applicant]
US 20140253037A1 · Yano et al. · 2014 [cited by applicant]
US 20150001201A1 · Adler · 2015 [cited by examiner]
US 20150039391A1 · Hershkovitz · 2015 [cited by applicant]
US 20150134142A1 · Taylor · 2015 [cited by applicant]
US 20180145873A1 · Beattie, Jr. · 2018 [cited by examiner]
US 20190360739A1 · Brown · 2019 [cited by examiner]
US 20200082041A1 · Albert · 2020 [cited by examiner]
US 20200139957A1 · Muta · 2020 [cited by applicant]
US 20200231058A1 · Hishida et al. · 2020 [cited by applicant]
US 20200403563A1 · Stewart · 2020 [cited by examiner]
US 20220005113A1 · Kimura et al. · 2022 [cited by applicant]
US 20220091619A1 · Wake et al. · 2022 [cited by applicant]
US 20220144119A1 · Yokoyama et al. · 2022 [cited by applicant]
US 20220144124A1 · Yokoyama et al. · 2022 [cited by applicant]
US 20220161674A1 · Yokoyama et al. · 2022 [cited by applicant]
US 20220164721A1 · Yokoyama et al. · 2022 [cited by applicant]
US 20220169136A1 · Yokoyama et al. · 2022 [cited by applicant]
US 20230071267A1 · Fujiwara et al. · 2023 [cited by applicant]
EP 3751466A1 · 2020 [cited by applicant]
JP 201239706A · 2012 [cited by applicant]
JP 201369084A · 2013 [cited by applicant]
JP 2016173689A · 2016 [cited by applicant]
JP 2018196231A1 · 2018 [cited by applicant]
JP 201921016A · 2019 [cited by applicant]
Office Action mailed Feb. 15, 2024, in co-pending U.S. Appl. No. 17/481,969. [cited by applicant]
Notice of Allowance mailed May 28, 2024, in co-pending U.S. Appl. No. 17/481,969. [cited by applicant]
Mohamed Ghoneim et al., “Towards a Smart Sustainable City: Air Pollution Detection and Ctonrol using Internet of Things,” Electronics and Communication Engineering, Canadian International College, 5 [cited by applicant]
Murat Akein et al., “Opportunities for Energy Efficiency in Smart Cities,” Inonu University and Bingol University, Departments of Electrical-Electronics Engineering and Physics, 4 [cited by applicant]
U.S. Non-Final Office Action issued in U.S. Appl. No. 17/452,434 on Dec. 20, 2023. [cited by applicant]
U.S. Final Office Action issued in U.S. Appl. No. 17/452,434 on May 14, 2024. [cited by applicant]
Notice of Allowance mailed Aug. 9, 2024 in co-pending U.S. Appl. No. 17/481,969, 10 pages. [cited by applicant]