activity
20172022
most citedReal-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control

72 citations · 89 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY20221 cited

BattX: An Equivalent Circuit Model for Lithium-Ion Batteries Over Broad Current Ranges

Nikhil Biju, Huazhen Fang

Advanced battery management is to lithium-ion battery systems as the brain is to the human body. Its performance rests on the use of battery models that are both fast and accurate.…

eess.SY202216 cited

Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing

Iman Askari, Shen Zeng, Huazhen Fang

Nonlinear model predictive control (NMPC) has gained widespread use in many applications. Its formulation traditionally involves repetitively solving a nonlinear constrained optimi…

eess.SY2021

Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries

Hao Tu, Scott Moura, Huazhen Fang

Mathematical modeling of lithium-ion batteries (LiBs) is a central challenge in advanced battery management. This paper presents a new approach to integrate a physics-based model w…

eess.SY202072 cited

Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control

Ning Tian, Huazhen Fang, Yebin Wang

The rapidly growing use of lithium-ion batteries across various industries highlights the pressing issue of optimal charging control, as charging plays a crucial role in the health…

physics.app-ph2017

Three-dimensional Temperature Field Reconstruction for A Lithium-Ion Battery Pack: A Distributed Kalman Filtering Approach

Ning Tian, Huazhen Fang, Yebin Wang

Despite the ever-increasing use across different sectors, the lithium-ion batteries (LiBs) have continually seen serious concerns over their thermal vulnerability. The LiB operatio…