Machine Learning Model using a Fiber Bragg Grating-based Sensor System to measure Battery State-of-Charge

A data-driven regression model using Machine Learning (ML) coding has been developed to predict the state-of-the-charge of a battery based on a Fiber Bragg Grating-based sensor, achieving a supervised ML model accuracy of 99.95%.