most citedComparative Performance Analysis of Numerical Discretization Methods for Electrochemical Models of Lithium-ion Batteries

12 citations · 24 across the 8 of their papers we have counts for

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8 papers

eess.SY2026

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…

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

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…

eess.SY2025

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…

eess.SY2025★ 8 cited

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…

eess.SY2025★ 3 cited

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…

eess.SY2025★ 12 cited

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),…