Accurate state-of-health (SOH) estimation is essential for the reliable operation of lithium-ion batteries. However, predicting SOH for previously unseen batteries remains challenging because degradation behavior varies among cells. This study proposes a multi-source feature-learning framework that combines electrochem...
Syed Adil Sardar, Farhan Akhtar, Wajid Ali et al.· Batteries· 0 citations
Recent progress in ML-assisted MO-GSs is summarized, covering sensor array design, feature engineering, and classification algorithms, including support vector machines (SVMs), random forests (RFs), and deep neural networks (DNNs).
Abdul Shakoor, Syed Adil Sardar, Farhan Akhtar et al.· Processes· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.