Uncertainty-Aware Data Selection Framework for Parameter Estimation with Application to Li-ion Battery. - Jackson Fogelquist; Xinfan Lin (ACC, 2022)

System Identification of Battery Single Particle Model Parameters Using New Data Optimization Approach. - Qingzhi Lai; Jackson Blake Fogelquist; Xinfan Lin (ACC, 2022)

Error Analysis for Parameter Estimation of Li-ion Battery subject to System Uncertainties. - Jackson Fogelquist; Qingzhi Lai; Xinfan Lin (ACC, 2023)

Reinforcement Learning of Optimal Input Excitation for Parameter Estimation With Application to Li-Ion Battery. - Rui Huang; Jackson Fogelquist; Xinfan Lin (IEEE Trans. Ind. Informatics, 2023)

Lightweight Electrochemical Hybrid Modeling Approach for Li-Ion Batteries Using Gaussian Process Regression. - Jackson Fogelquist; Xinfan Lin (ACC, 2024)

Joint Parameterization of Hybrid Physics-Based and Machine Learning Li-Ion Battery Model. - Jackson Fogelquist; Xinfan Lin (ACC, 2025)

Robust Estimation of Battery State of Health Using Reference Voltage Trajectory. - Rui Huang; Jackson Fogelquist; Xinfan Lin (ACC, 2025)