Battery Design & Management System Optimization: Leading-edge research at UCCS

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Join us at our next Power & Energy Society meeting, Pikes Peak! Dr. Plett, Professor of Electrical and Computer Engineering at the University of Colorado Colorado Springs (UCCS) will be joining us to talk about leading-edge research at UCCS in Battery Optimization.

 

Optimizing the cost, weight, size and reliability of major hybrid and electric-vehicle (xEV) systems is critical in maximizing the value of the xEV to the end customer. For example, of the components comprising an HEV, the costliest is the battery pack, which may represent 30–35% of the propulsion system’s total cost.  This is even truer for EV. The battery is among the heaviest components of a xEV's propulsion system as well. Therefore, careful design of the battery pack and the battery management system (BMS) can dramatically impact the lifetime affordability of a xEV.

 

An important task of the vehicle’s BMS is to provide continuous estimates of battery-pack available energy and power to the vehicle.  These estimates must be accurate to avoid situations where the vehicle overcharges or overdischarges the battery pack, causing premature degradation. Historically, the estimates have been made based on equivalent-circuit models (ECM) of cells; however, ECMs are unable to provide information on the internal electrochemical processes that drive cell degradation directly. Therefore, present-day battery packs tend to be overdesigned and conservatively operated in order to account for the uncertainty of how to incorporate cell aging in ECM controls. This makes the battery pack larger and more expensive than it needs to be.

 

In order to provide estimates of available power and energy that take cell aging into account, physics-based models (PBM) must be used instead.  At UCCS, we have been investigating computationally practical physics-based models (PBM) of cells, and leveraging those models to provide estimates of battery-pack available energy and power.  A vehicle using these estimates can extract the maximum performance from the battery pack while still maximizing battery-pack life.  This can result in smaller and less expensive battery packs.

 

This talk will give a background in BMS computational requirements, approaches to lithium-ion cell modeling, and optimal controls.  It will highlight some of the activities taking place at UCCS in this field.

 

Snacks provided!



  Date and Time

  Location

  Hosts

  Registration



  • Date: 03 May 2016
  • Time: 05:30 PM to 07:30 PM
  • All times are (GMT-07:00) US/Mountain
  • Add_To_Calendar_icon Add Event to Calendar
  • 1175 Chapels Hills Drive
  • Colorado Springs, Colorado
  • United States 80920
  • Building: Library 21c
  • Room Number: Ent Conference Center
  • Click here for Map

  • Contact Event Host
  • Marlene Hebner, marlenehebner@yahoo.com

  • Starts 07 April 2016 05:00 AM
  • Ends 03 May 2016 05:00 PM
  • All times are (GMT-07:00) US/Mountain
  • No Admission Charge


  Speakers

Dr. Gregory Plett of University of Colorado Colorado Springs

Topic:

Making batteries last longer and work better: Leading-edge research at UCCS

Dr. Gregory L. Plett
Professor, Department of Electrical and Computer Engineering
Director, GATE Center of Excellence in Innovative Drivetrains in Electric Automotive Technology Education

Biography:

Gregory Plett is a Professor of Electrical and Computer Engineering at the University of Colorado Colorado Springs and is Director of the GATE Center of Excellence in Innovative Drivetrains in Electric Automotive Technology Education.  He received his Ph.D. in Electrical Engineering from Stanford University in 1998 and has conducted research in battery-management topics for the past 15 years. Together with Dr. M. Scott Trimboli, he co-leads a team of students who are investigating computationally efficient ways to create and implement reduced-order physics-based models of lithium-ion cells, finding methods to determine the parameter values for these cell models using simple laboratory tests, making the models adaptive so that they capture the dynamics of the battery cell as it ages, and formulating optimal controls for battery packs. He has authored two textbooks on battery modeling and battery management.

Address:1420 Austin Bluffs Parkway, , Colorado Springs, Colorado, United States, 80918

Dr. Gregory Plett of University of Colorado Colorado Springs

Topic:

Making batteries last longer and work better: Leading-edge research at UCCS

Biography:

Address:Colorado Springs, Colorado, United States