1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SY2026★ 1 cited
Physics-guided residual Kalman learning for state-of-charge estimation of lithium iron phosphate batteries
Feng Guo, Luis D. Couto, Khiem Trad +3
Accurate state of charge (SOC) estimation of lithium iron phosphate (LFP) batteries remains challenging because of their flat open-circuit-voltage (OCV)-SOC characteristics, temper…
eess.SY2025
Stability-Guaranteed Dual Kalman Filtering for Electrochemical Battery State Estimation
Feng Guo, Guangdi Hu, Keyi Liao +5
Accurate and stable state estimation is critical for battery management. Although dual Kalman filtering can jointly estimate states and parameters, the strong coupling between filt…
eess.SY2025
Residual Bias Compensation Filter for Physics-Based SOC Estimation in Lithium Iron Phosphate Batteries
Feng Guo, Luis D. Couto, Khiem Trad +2
This paper addresses state of charge (SOC) estimation for lithium iron phosphate (LFP) batteries, where the relatively flat open-circuit voltage (OCV-SOC) characteristic reduces ob…