Invention Grant
- Patent Title: Battery failure prediction
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Application No.: US17663326Application Date: 2022-05-13
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Publication No.: US11796602B2Publication Date: 2023-10-24
- Inventor: Sridhar Sudarsan
- Applicant: SparkCognition, Inc.
- Applicant Address: US TX Austin
- Assignee: SPARKCOGNITION, INC.
- Current Assignee: SPARKCOGNITION, INC.
- Current Assignee Address: US TX Austin
- Agency: Moore IP Law
- Main IPC: G01R31/392
- IPC: G01R31/392

Abstract:
A method includes obtaining driver characterization data based on sensor data from one or more sensors onboard a vehicle. The sensor data is captured during a time period that includes multiple discharging operations and multiple recharging operations of a battery of the vehicle. The method also includes providing the driver characterization data as input to a trained model to generate a model output. The model output includes a classification that associates the driver characterization data with a driver type profile. The method also includes generating an alert responsive to a charge of the battery deviating from an expected charge of the battery. The expected charge is based on the classification.
Public/Granted literature
- US20220276317A1 BATTERY FAILURE PREDICTION Public/Granted day:2022-09-01
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