Design of an AI- Enabled Digital Twin for Battery Optimisation

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Details of Project Plan including key milestones:* Comprehensive background study into Digital Twinning, Hardware in the Loop, Battery Modelling and Machine learning Optimization * Assessment of battery dataset * Deciding battery performance metrics * Design of Digital Twin * Integrating Machine learning to aid key decision making processes A Comprehensive Integration of the novelty Digital Twining, IOT and AI-enabled Hardware in the Loop research to propose a Machine learning Solution to battery Optimization using modelling. The main objective will be to use a real-world battery dataset to design a digital twin through Hardware in the Loop, and integrating machine learning techniques to predict and optimize battery performance based on key metrics such as State of health, State of Charge and Remaining Useful life.