Predictive Battery Lifetime Modeling at NREL [Slides]

Gasper, Paul; Smith, Kandler

doi:10.2172/1867877

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DOE OSTI · 1867877

Predictive Battery Lifetime Modeling at NREL [Slides]

Gasper, Paul·Smith, Kandler

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Abstract

Battery lifetime models are used to extrapolate data from accelerated aging tests to simulate degradation in real-world applications such as electric vehicles and battery energy storage systems. Methods developed at NREL utilize both expert domain-knowledge and machine-learning to identify models, using statistical methods such as cross-validation and bootstrap resampling to interrogate model performance and quantify uncertainty. These models can be utilized in systems level simulations to predict battery performance or technoeconomic models to estimate the lifetime cost of battery systems.

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Gasper, Paul, Smith, Kandler. 2021-06-01. Predictive Battery Lifetime Modeling at NREL [Slides]. https://doi.org/10.2172/1867877

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