Systems and methods for predicting remaining useful life in batteries and assets
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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