Physics-Informed Neural Networks for Modeling Li-ion Batteries: Solving the Single Particle Model Without Labeled Data

Li-ion batteries are garnering significant attention due to the electrification of critical sectors. High-fidelity battery cell models have proven effective in assessing performance and optimizing design, alleviating the financial burden associated with extensive experimental procedures. However, th...

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Veröffentlicht in:	Journal of the Electrochemical Society 2024-11, Vol.171 (11), p.110534
Hauptverfasser:	Méndez-Corbacho, Francisco J., Larrarte-Lizarralde, Beñat, Parra, Rubén, Larrain, Javier, del Olmo, Diego, Grande, Hans-Jürgen, Ayerbe, Elixabete
Format:	Artikel
Sprache:	eng
Schlagworte:	Batteries Batteries—Li-ion High-fidelity models Machine Learning PINN SPM Model
Online-Zugang:	Volltext
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