12 citations · 24 across the 11 of their papers we have counts for
11 papers
When voltage sensors fail: Electrochemically constrained fault-tolerant state estimation for flat-plateau LFP batteries
Feng Guo, Luis D. Couto, Hamid Hamed +5
The flat voltage plateau of lithium iron phosphate (LFP)/graphite cells makes electrochemical-state errors and voltage-measurement abnormalities produce similar innovations, compli…
Rapid and robust parameter estimation for electrochemical battery models via BOLT: A batch-optimized local-to-global technique
Feng Guo, Luis D. Couto, Keivan Haghverdi +2
Accurate and efficient parameter estimation is essential for applying electrochemical battery models in simulation, state estimation, control, and repeated model updating. However,…
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…
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…
Efficiency and Optimality in Electrochemical Battery Model Parameter Identification: A Comparative Study of Estimation Techniques
Feng Guo, Luis D. Couto, Guillaume Thenaisie
Parameter identification for electrochemical battery models has always been challenging due to the multitude of parameters involved, most of which cannot be directly measured. This…
Residual Bias Compensation Dual Extended Kalman 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…
Adaptive Dead-Zone Dual Sliding Mode Observer for Reliable Electrochemical Model-Based SOC Estimation
Guangdi Hu, Keyi Liao, Jian Ye +1
Accurate state-of-charge (SOC) estimation is essential for safe and efficient lithium-ion battery operation. Electrochemical models provide physically grounded SOC estimates, but n…
Identifiability Analysis of a Pseudo-Two-Dimensional Model & Single Particle Model-Aided Parameter Estimation
L. D. Couto, K. Haghverdi, F. Guo +2
This contribution presents a parameter identification methodology for the accurate and fast estimation of model parameters in a pseudo-two-dimensional (P2D) battery model. The meth…
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion Batteries
Feng Guo, Luis D. Couto
Lithium-ion batteries are widely used in transportation, energy storage, and consumer electronics, driving the need for reliable battery management systems (BMS) for state estimati…
Optimizing Parameter Estimation for Electrochemical Battery Model: A Comparative Analysis of Operating Profiles on Computational Efficiency and Accuracy
Feng Guo, Luis D. Couto, Khiem Trad +3
Parameter estimation in electrochemical models remains a significant challenge in their application. This study investigates the impact of different operating profiles on electroch…
Comparative Performance Analysis of Numerical Discretization Methods for Electrochemical Models of Lithium-ion Batteries
Feng Guo, Luis D. Couto
This study evaluates numerical discretization methods for the Single Particle Model (SPM) used in electrochemical modeling. The methods include the Finite Difference Method (FDM),…