IP Library › Patent Application 19533580
Patent Application
App. No. 19/533,580

COMPUTER-IMPLEMENTED SYSTEMS FOR BATTERY MONITORING, BATTERY REPLACEMENT, AND FLEET MANAGEMENT

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Quick Facts
Patent No.
US None
App. No.
19/533,580
Abstract

A server and non-transitory computer-readable storage medium storing instructions for monitoring one or more batteries of an electric vehicle (EV) comprising computing instructions for (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.

Claims (35)

1 . A server for monitoring one or more batteries of an electric vehicle (EV) based upon a battery charging mode, the server comprising:

a transceiver configured to communicate with an electronic device associated with the EV via at least one network connection;

a memory storing computer-executable instructions; and

one or more processors interfacing with the transceiver and the memory, and configured to execute the computer-executable instructions to cause the one or more processors to:

receive, from the electronic device, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV;

determine a battery status of the one or more batteries based upon the telematics data, and based upon a battery charging mode associated with the one or more batteries; and

map the battery status of the one or more batteries to a digital record corresponding to the EV in a database.

2 . The server of claim 1 , wherein the one or more processors are configured to execute the computer-executable instructions to cause the one or more processors to determine the battery status based upon a baseline reading of the one or more batteries originating from a battery sensor contained in the EV and coupled to the one or more batteries.

3 . The server of claim 1 , wherein the battery charging mode indicates a charging speed.

4 . The server of claim 1 , wherein the battery charging mode indicates a type of charging connection used to charge the one or more batteries.

5 . The server of claim 1 , wherein the battery charging mode is a mode specified by the International Electrotechnical Commission (IEC).

6 . The server of claim 1 , wherein the telematics data comprises data indicating an accident associated with the EV or a predicted accident associated with the EV.

7 . The server of claim 1 , wherein the telematics data comprises data indicating flat towing of the EV, pushing of the EV, bi-directional jump charging of the EV with another EV, or whether the EV is coupled to another vehicle.

8 . The server of claim 1 , wherein the one or more processors are configured to execute the computer-executable instructions to cause the one or more processors to determine the battery status based upon a machine learning algorithm trained to predict the battery status using training data that associates different types of telematics data with the battery status.

9 . The server of claim 1 , wherein the one or more processors are configured to execute the computer-executable instructions to further cause the one or more processors to:

access the database to retrieve the battery status of the one or more batteries and corresponding recommendation data that includes instructions for improving the battery status; and

transmit, to the electronic device, at least one of the battery status and the recommendation data.

10 . The server of claim 1 , wherein the one or more processors are configured to execute the computer-executable instructions to further cause the one or more processors to:

determine an insurance premium or discount associated with the EV based upon the battery status; and

transmit, to the electronic device, the insurance premium or the discount.

11 . The server of claim 1 , wherein the one or more processors are configured to execute the computer-executable instructions to further cause the one or more processors to:

update, in the database, the digital record to designate that the one or more batteries are to be, based upon the battery status in relation to a predetermined threshold, at least one of (1) replaced, (2) transferred to another EV, (3) recycled, (4) used as an emergency power source, or (5) recharged.

12 . The server of claim 1 , wherein the one or more processors are configured to execute the computer-executable instructions to cause the one or more processors to map the battery status of the one or more batteries to include a mapping of a battery location for at least one of the one or more batteries, wherein the battery location indicates a physical location onboard the EV where the battery is installed.

13 . The server of claim 12 , wherein the one or more processors are configured to execute the computer-executable instructions to further cause the one or more processors to:

render the mapping of the battery location on a graphical user interface (GUI) indicating where the EV and the battery location are depicted.

14 . The server of claim 1 , wherein the electronic device is one of a mobile electronic device or a vehicle telematics system onboard the EV.

15 . A non-transitory computer-readable storage medium storing computer-readable instructions for monitoring one or more batteries of an electric vehicle (EV) based upon a battery charging mode that, when executed by one or more processors, cause the one or more processors to:

receive, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV;

determine a battery status of the one or more batteries based upon the telematics data, and based upon a battery charging mode associated with the one or more batteries; and

map the battery status of the one or more batteries to a digital record corresponding to the EV in a database.

16 . The non-transitory computer-readable storage medium of claim 15 , wherein the computer-readable instructions, when executed by the one or more processors, cause the one or more processors to determine the battery status based upon a baseline reading of the one or more batteries originating from a battery sensor contained in the EV and coupled to the one or more batteries.

17 . The non-transitory computer-readable storage medium of claim 15 , wherein the computer-readable instructions, when executed by the one or more processors, cause the one or more processors to determine the battery status based upon a battery charging mode associated with the one or more batteries.

18 . The non-transitory computer-readable storage medium of claim 15 , wherein the battery charging mode indicates a charging speed.

19 . The non-transitory computer-readable storage medium of claim 15 , wherein the battery charging mode indicates a type of charging connection used to charge the one or more batteries.

20 . The non-transitory computer-readable storage medium of claim 15 , wherein the battery charging mode is a mode specified by the International Electrotechnical Commission (IEC).

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 20, 2026
From: GROSS, RYAN MICHAEL; MEGYESE, MATTHEW S.; HARR, JOSEPH P.; CHRISTENSEN, SCOTT THOMAS; KING, VICKI; HARBAUGH, SHAWN RENEE
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 073856/0327 →