Machine Learning based prediction of Vanadium Redox Flow Battery temperature rise under different charge-discharge conditions

arXiv:2404.17284v1 Announce Type: new
Abstract: Accurate prediction of battery temperature rise is very essential for designing an efficient thermal management scheme. In this paper, machine learning (ML) based prediction of Vanadium Redox Flow Battery (VRFB) thermal behavior during charge-discharge operation has been demonstrated for the first time. Considering different currents with a specified electrolyte flow rate, the temperature of a kW scale VRFB system is studied through experiments. Three different ML algorithms; Linear Regression (LR), Support Vector Regression (SVR) and …

abstract arxiv battery behavior cs.lg designing flow machine machine learning management paper prediction type