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Machine Learning for Lithium-Ion Battery Voltage Modeling: Insights from NARX-RNN, Deep Koopman, and LSTM-NARX

2025-04-25

Abstract excerpt

As global energy demand surges, lithium-ion batteries play a pivotal role in enabling renewable energy integration and advancing electrified transportation—both essential for energy independence and environmental sustainability. Their widespread adoption hinges on ensuring long-term reliability, operational resilience, and functional safety. Battery Management Systems (BMS) are central to this mission, requiring a...

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Literature Corpus work
37480549-40e5-5e30-8fca-bcadebc76156
DOI
10.20944/preprints202504.2145.v1
Open publication

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Machine Learning for Lithium-Ion Battery Voltage Modeling: Insights from NARX-RNN, Deep Koopman, and LSTM-NARXDOI 10.20944/preprints202504.2145.v1
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