XiuzeZhou/RUL
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
This project helps engineers and researchers predict how much longer a lithium-ion battery will last. By taking in historical battery performance data, it outputs an estimated Remaining Useful Life (RUL), helping to prevent unexpected failures and optimize maintenance schedules. It's designed for professionals managing battery health in critical applications.
478 stars. No commits in the last 6 months.
Use this if you need to accurately forecast the remaining operational lifespan of lithium-ion batteries using their performance data.
Not ideal if you are working with battery types other than lithium-ion or require real-time, on-device prediction without historical data analysis.
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May 30, 2024
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