Q2 Project 1: Charging Stations of the Future

The International Battery Seminar & Exhibit, which is longest-running annual battery event in the world, convened on March 17-20 in Orlando. At this year’s event, two of our faculty presented their research on battery cells and models.

• Estimating Parameters of Physics-Based Model of Lithium-Metal Battery Cells Using EIS
  Gregory L. Plett, PhD, Professor, Electrical & Computer Engineering, University of Colorado, Colorado Springs
  Lithium-metal batteries hold promise for heavy-duty transportation due to their high energy density, but before they can be adopted, battery-management systems (BMS) must be developed to monitor and control their operation. This talk introduced a method to parameterize a physics-based model of these cells for BMS application that uses simple tests performed on electrochemical-impedance-spectroscopy (EIS) equipment.
• A Comparative Review of Simplified Battery Models Used for Advanced Controls
  Scott Trimboli, PhD, Professor, Electrical & Computer Engineering, University of Colorado, Colorado Springs
  State-of-the-art BMS rely on accurate battery models and specialized algorithms to obtain useful estimates of the battery state in order to ensure proper performance and safe operation. Most practical models are simplifications, and thus must trade off high accuracy for computational efficiency. This talk examined the implications of using various simplified models in the performance of key BMS tasks.

At the Georgia World Congress Center from March 16-20, the IEEE Applied Power Electronics Conference and Exposition was held in Atlanta, GA. Three students represented ASPIRE and presented four different papers.

Purdue Road School Transportation Conference

This year brought another exciting opportunity to host the 2025 Purdue Road School Transportation Conference and Expo. Held on March 18-19, this event featured visits with exhibitors, keynote addresses and workshops, and student poster presentation sessions.

Check out their website for additional information.

Publications

• 1 journal paper submitted for publication
• Ms. Denisse Urenda Castaneda passed her dissertation proposal exam on January 22, 2025
  • Dissertation Title: “A Deep Learning Approach to Stochastic Optimal Control with Application to Stochastic Optimal Control with Application to Dynamic Electric Vehicle Charging Scheduling”

Tools & Technology Developments:

This quarter, the Charging Systems of the Future team developed simulation models and collected simulation results to demonstrate the operation of the proposed multiport system based on unfolding technology. They also demonstrated the correction of DC bias without an additional capacity for DAB.

Additionally, the team has developed an algorithm for DER-integrated grid operations under extreme weather events incorporating the DWPT system and depicted in the 2024 NAPS paper.

Student Grad Highlights

Both ASPIRE students Denisse Urenda Casteneda & Jorge Ramiro are on track to graduate with their PhDs this year.