SYSTEMS AND METHODS FOR QR CODE BATTERY HEALTH BASED TRACKING
卷宗概要
申请人
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
发明人
Ryan Gross; Matthew S. Megyese; Joseph P. Harr; Scott Thomas Christensen; Vicki King; Shawn Renee Harbaugh
IPC 分类
CPC 分类
A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining 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/or () providing, via a user interface, the battery status indication corresponding to the identified EV.
原文（中文）
A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining 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/or () providing, via a user interface, the battery status indication corresponding to the identified EV.