188 citations · 489 across the 18 of their papers we have counts for
19 papers
A Novel Modular, Reconfigurable Battery Energy Storage System: Design, Control, and Experimentation
Amir Farakhor, Di Wu, Yebin Wang +1
This paper presents a novel modular, reconfigurable battery energy storage system. The proposed design is characterized by a tight integration of reconfigurable power switches and…
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.…
Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach
Thomas Woodruff, Iman Askari, Guanghui Wang +1
Control of nonlinear uncertain systems is a common challenge in the robotics field. Nonlinear latent force models, which incorporate latent uncertainty characterized as Gaussian pr…
High-Order Leader-Follower Tracking Control under Limited Information Availability
Chuan Yan, Tao Yang, Huazhen Fang
Limited information availability represents a fundamental challenge for control of multi-agent systems, since an agent often lacks sensing capabilities to measure certain states of…
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning
Iman Askari, Babak Badnava, Thomas Woodruff +2
Control of machine learning models has emerged as an important paradigm for a broad range of robotics applications. In this paper, we present a sampling-based nonlinear model predi…
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…
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters
Iman Askari, Mulugeta A. Haile, Xuemin Tu +1
The implicit particle filter seeks to mitigate particle degeneracy by identifying particles in the target distribution's high-probability regions. This study is motivated by the ne…
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
Hao Tu, Scott Moura, Yebin Wang +1
Mathematical modeling of lithium-ion batteries (LiBs) is a primary challenge in advanced battery management. This paper proposes two new frameworks to integrate physics-based model…
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…
SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems
Hang Geng, Mulugeta A. Haile, Huazhen Fang
Parameters of the mathematical model describing many practical dynamical systems are prone to vary due to aging or renewal, wear and tear, as well as changes in environmental or se…
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…
One-Shot Parameter Identification of the Thevenin's Model for Batteries: Methods and Validation
Ning Tian, Yebin Wang, Jian Chen +1
Parameter estimation is of foundational importance for various model-based battery management tasks, including charging control, state-of-charge estimation and aging assessment. Ho…
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation
Ning Tian, Huazhen Fang, Jian Chen +1
This paper proposes a new equivalent circuit model for rechargeable batteries by modifying a double-capacitor model proposed in [1]. It is known that the original model can address…
A New Encounter Between Leader-Follower Tracking and Observer-Based Control: Towards Enhancing Robustness against Disturbances
Chuan Yan, Huazhen Fang
This paper studies robust tracking control for a leader-follower multi-agent system (MAS) subject to disturbances. A challenging problem is considered here, which differs from thos…
Observer-Based Distributed Leader-Follower Tracking Control: A New Perspective and Results
Chuan Yan, Huazhen Fang
Leader-follower tracking control design has received significant attention in recent years due to its important and wide applications. Considering a multi-agent system composed of…
Robust Extended Kalman Filtering for Systems with Measurement Outliers
Huazhen Fang, Mulugeta A. Haile, Yebin Wang
Outliers can contaminate the measurement process of many nonlinear systems, which can be caused by sensor errors, model uncertainties, change in ambient environment, data loss or m…
Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon
Huazhen Fang, Ning Tian, Yebin Wang +2
This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has been a challenge encountered in a wide range of eng…
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…
Health-aware and user-involved battery charging management for electric vehicles: linear quadratic strategies
Huazhen Fang, Yebin Wang
This paper studies control-theory-enabled intelligent charging management for battery systems in electric vehicles (EVs). Charging is crucial for the battery performance and life a…