2 papers
eess.SY2025
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning
Mehmet Fatih Ozkan, Samuel Filgueira da Silva, Faissal El Idrissi +2
Accurate parameter estimation in electrochemical battery models is essential for monitoring and assessing the performance of lithium-ion batteries (LiBs). This paper presents a nov…
eess.SY2025
Real-Time Optimal Design of Experiment for Parameter Identification of Li-Ion Cell Electrochemical Model
Ian Mikesell, Samuel Filgueira da Silva, Mehmet Fatih Ozkan +3
Accurately identifying the parameters of electrochemical models of li-ion battery (LiB) cells is a critical task for enhancing the fidelity and predictive ability. Traditional para…