"Real-time State of Charge Estimation of Lithium-ion Batteries Using Op" by M. S. Hossain Lipu, M. A. Hannan et al.
Abstract-This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm. The precise SOC estimation confirms the safety and reliability of EV. Nevertheless, SOC is influenced by numerous factors which cannot be measured directly. RFR is suitable for real-time SOC estimation due to its robustness to noise, overfitting issues and capacity to w...
Ifferential Search Algorithm Electric Vehicle Lithium Ion Battery Mathematical Models Rediction Algorithms Random Forest Regression
Source: uow.edu.au