3 papers
eess.SY2026
Mitigating Overconfidence in Nonlinear Kalman Filters via Covariance Recalibration
Shida Jiang, Junzhe Shi, Scott Moura
The Kalman filter (KF) is an optimal linear state estimator for linear systems, and numerous extensions, including the extended Kalman filter (EKF), unscented Kalman filter (UKF),…
eess.SY2025
Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method
Shida Jiang, Junzhe Shi, Scott Moura
Battery management is a critical component of ubiquitous battery-powered energy systems, in which battery state-of-charge (SOC) and state-of-health (SOH) estimations are of crucial…
eess.SY2025
Remaining Discharge Energy Prediction for Lithium-Ion Batteries Over Broad Current Ranges: A Machine Learning Approach
Hao Tu, Manashita Borah, Scott Moura +2
Lithium-ion batteries have found their way into myriad sectors of industry to drive electrification, decarbonization, and sustainability. A crucial aspect in ensuring their safe an…