4 papers
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…
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…
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics
Samuel Filgueira da Silva, Mehmet Fatih Ozkan, Faissal El Idrissi +2
Accurate modeling of lithium ion (li-ion) batteries is essential for enhancing the safety, and efficiency of electric vehicles and renewable energy systems. This paper presents a d…
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout
Jacob Paugh, Zhaoxuan Zhu, Shobhit Gupta +2
Connected and autonomous vehicles have the potential to minimize energy consumption by optimizing the vehicle velocity and powertrain dynamics with Vehicle-to-Everything info en ro…