Apply and optimize machine learning algorithms for estimating battery health
With the growing demand for energy-efficient and reliable battery-powered systems, accurate estimation of battery State of Charge (SOC), State of Health (SOH), and Remaining Useful Life (RUL) must be monitored to ensure safety, performance, and longevity. Traditional estimation techniques such as Co...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2025
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| Online Access: | http://eprints.utar.edu.my/7093/1/fyp_CS_2025_CWY.pdf http://eprints.utar.edu.my/7093/ |
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