Estimating Battery State-of-Charge (SoC) with AI
Presented by MathWorks:
As industry adapts to the electrification market trend, battery design and modelling has increased in importance. Estimating internal battery states such as the state-of-charge (SoC) and state-of-health (SoH) can be a difficult and time-consuming problem to solve using traditional, physics-based methods. Data-driven AI modelling provides a fast and accurate alternative approach. In this talk, we describe an overall workflow for modelling battery SoC using AI, from data preparation to system simulation. Topics include:
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Electrical applications of virtual sensor modelling with AI
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Preparing data for machine learning: feature exploration and extraction
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Designing and training machine learning models
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Interpreting models and evaluating model performance
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Integrating AI models with Simulink for system simulation
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