Recent Advancements in PDE Control of Battery Management and Swarm Robotics

Dr. Shu-Xia Tang

Assistant Professor, Dept. of Mechanical Engineering
Texas Tech University

Seminar Information

Seminar Series
Dynamic Systems & Controls

Seminar Date - Time
January 17, 2025, 3:00 pm

Seminar Location
EBU2 479

Shu-Xia Tang, Ph.D.

Abstract

This talk presents two recent PDE control applications using backstepping. The first part focuses on improving state-of-charge (SoC) and state-of-health (SoH) estimation in lithium-ion batteries, which are essential for electrified transportation and energy storage. We propose PDE observers to estimate lithium concentration in the electrolyte across the negative electrode, positive electrode, and separator, using reverse sensitivity analysis to identify the optimal measurable parameter. Enhanced PDE observers for solid-phase lithium concentration in the electrodes provide more accurate SoC and SoH estimates. The second part introduces a distributed encirclement control strategy for PDE-based multi-agent systems, combining both in-domain and boundary control to ensure collision avoidance. We present a three-dimensional framework where backstepping controllers guide boundary agents (leaders) to move agents toward targets, reform their formation, and maintain encirclement. In-domain control is applied for rotating and adjusting the formation.

Speaker Bio

Shu-Xia Tang received her Ph.D. in Mechanical Engineering in 2016 from the Department of Mechanical & Aerospace Engineering, University of California, San Diego, USA. She is currently an assistant professor at the Department of Mechanical Engineering, Texas Tech University, USA. She is an IEEE senior member and is an IEEE CSS (Control Systems Society) Technical Committee member on Distributed Parameter Systems. She serves as the editor of ASME (American Society of Mechanical Engineers) Dynamic Systems and Control Division (DSCD) Newsletter and serves as an Editorial Board member of IEEE CSS and ASME DSCC. Her main research interests are stability analysis, estimation and control design of distributed parameter systems including swarm robotic systems and energy storage systems.