BEST Magazine

Grey wolf AI model improves SOH estimation for bipolar lead-acid batteries

Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.
EurekAlert!

State of health estimation for bipolar lead-acid batteries based on gray wolf optimized hybrid regression technique

Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines ...
IEEE

Improved NaS Battery State of Charge and State of Health Estimation: A Novel Integration of Temporal Fusion Transformer, Isolation Forest, and Support Vector Regression

Abstract: Precise State of Charge (SOC) and State of Health (SOH) are crucial for the effective operation and longevity of Sodium-Sulfur (NaS) Battery Energy Storage Systems (BESS). Real-time ...
IEEE

SVR: Feature Selection Based Support Vector Regression for Humidity Data Prediction

Abstract: Weather data like humidity is a key indicator in meteorology which is influenced by multiple climatic factors. Higher humidity levels become a threat to human health, cause storms and also ...