US 12,430,961 B2
Systems and methods for QR code battery health based tracking
Ryan Gross, Normal, IL (US); Matthew S. Megyese, Bloomington, IL (US); Joseph P. Harr, Bloomington, IL (US); Scott Thomas Christensen, Salem, OR (US); Vicki King, Bloomington, IL (US); and Shawn Harbaugh, Normal, IL (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Aug. 12, 2022, as Appl. No. 17/887,214.
Claims priority of provisional application 63/392,048, filed on Jul. 25, 2022.
Claims priority of provisional application 63/356,257, filed on Jun. 28, 2022.
Claims priority of provisional application 63/352,913, filed on Jun. 16, 2022.
Prior Publication US 2023/0410575 A1, Dec. 21, 2023
Int. Cl. G07C 5/00 (2006.01); B60L 58/16 (2019.01); G07C 5/08 (2006.01); G06K 7/14 (2006.01); G06Q 40/03 (2023.01); G06Q 40/08 (2012.01)
CPC G07C 5/0816 (2013.01) [B60L 58/16 (2019.02); G07C 5/0841 (2013.01); G06K 7/1413 (2013.01); G06K 7/1417 (2013.01); G06Q 40/03 (2023.01); G06Q 40/08 (2013.01); G07C 2205/02 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using quick response (QR) codes, the computer-implemented method comprising:
capturing, by a camera associated with a mobile computing device, an image of a tag attached to an EV, wherein the tag is permanently or removably attached to the EV via a sticker;
analyzing, by one or more processors of the mobile computing device, the image of the tag attached to the EV;
identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag attached to the EV;
determining, by the one or more processors of the mobile computing device, vehicle battery data associated with a rechargeable battery that powers the identified EV,
wherein one or more of identifying the EV or determining the vehicle battery data associated with the rechargeable battery that powers the identified EV include accessing, by the one or more processors, a blockchain storing data associated with one or more of the identified EV or the rechargeable battery that powers the identified EV;
determining, by the one or more processors of the mobile computing device, based upon the vehicle battery data associated with the rechargeable battery that powers the identified EV, a battery status indication corresponding to the identified EV; and
providing, via a user interface associated with the mobile computing device, the battery status indication corresponding to the identified EV.