<ul data-eligibleForWebStory="false"><li>Researchers at NREL have developed a physics-informed neural network model to predict battery health faster than traditional models.</li><li>The AI-based model separates a battery’s internal properties from its output voltage, allowing for quicker battery degradation diagnosis.</li><li>The study in the Journal of Energy Storage shows that the model can estimate battery lifespan changes during aging and adapt to different scenarios.</li><li>The NREL researchers aim to validate the model with real-world data and enhance its accuracy for broader internal battery parameter prediction.</li></ul>

NREL researchers develop AI models to improve battery diagnostics

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