Invention Grant
- Patent Title: Systems and methods for predicting remaining useful life in batteries and assets
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Application No.: US17887874Application Date: 2022-08-15
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Publication No.: US11658356B1Publication Date: 2023-05-23
- Inventor: Gokhan Budan , Anil Ozturk , Alex Darlington , Can Kurtulus
- Applicant: EATRON TECHNOLOGIES LIMITED
- Applicant Address: GB Warwick
- Assignee: Eatron Technologies Ltd.
- Current Assignee: Eatron Technologies Ltd.
- Current Assignee Address: GB Warwick
- Agency: Dickinson Wright PLLC
- Agent Jonathan H. Harder
- Main IPC: H01M10/48
- IPC: H01M10/48 ; B60L58/16 ; G01R31/367 ; G01R31/396 ; G01R31/392 ; G07C5/04 ; G01R31/3842

Abstract:
In one aspect, a computer-implemented method for a cloud-based computing system may include receiving data pertaining to a battery pack of a vehicle, wherein the data is measured by one or more sensors associated with the vehicle. The method may include determining, based on the data, whether a sum of a physics-based model estimated terminal voltage minus an actual voltage of the battery pack satisfies a threshold. Responsive to determining the threshold is satisfied, the method may include determining a trigger event has occurred and calibrate one or more parameters of the physics-based model, a machine learning model, or both, wherein the physics-based model outputs one or more properties pertaining to the battery pack of the vehicle, and the machine learning model uses the one or more properties to predict a remaining useful life of each cell of the battery pack.
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