Machine Learning and Data-Driven Analysis of Thermal Runaway Characteristics in Lithium-Ion Batteries
This study explores thermal runaway in lithium-ion batteries, particularly examining NCM (Nickel Cobalt Manganese) and NCA (Nickel Cobalt Aluminum) chemistries. Utilizing data analysis and machine learning on approximately 400 data points, it gives insights into thermal runaway dynamics, focusing on...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153695 |