A Stochastic Approach to Online Vehicle State and Parameter Estimation, with Application to Inertia Estimation for Rollover Prevention and Battery Charge/Health Estimation

This report summarizes research conducted at Penn State, Virginia Tech, and West Virginia University on the development of algorithms based on the generalized polynomial chaos (gPC) expansion for the online estimation of automotive and transportation system parameters from experimental data. The authors used gPC estimation for determining the state of charge and state of health of a lithium-ion battery in real time, and also for the determination of road-vehicle inertial parameters in real time. The overarching goals in these two applications are to improve vehicle safety through better battery diagnostics and better inertia estimate-based rollover prevention. The authors performed experimental validation studies for both of these applications. Finally, the authors began exploring the application of gPC-based estimation for stochastic traffic flow models.

• Record URL:
  http://www.mautc.psu.edu/docs/mautc-2010-02.pdf
• 
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Mid-Atlantic Universities Transportation Center

  Pennsylvania State University
  201 Transportation Research Building
  University Park, PA  United States  16802-4710

  Pennsylvania State University, University Park

  Thomas D. Larson Pennsylvania Transportation Institute
  Research Office Building
  University Park, PA  United States  16802-4710

  Virginia Polytechnic Institute and State University, Blacksburg

  Blacksburg, VA  United States  24061

  West Virginia University, Morgantown

  Morgantown, WV  United States  26506

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Fathy, Hosam K
  • Sandu, Corina
  • Unnikrishnan, Avinash
• Publication Date: 2013-8-31

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Photos; References; Tables;
• Pagination: 82p

Subject/Index Terms

• TRT Terms: Algorithms; Inertia (Mechanics); Lithium batteries; Polynomials; Rollover crashes; Stochastic processes; Vehicle safety
• Uncontrolled Terms: Battery charging
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01496716
• Record Type: Publication
• Report/Paper Numbers: MAUTC-2010-02, LTI 2013-15
• Contract Numbers: DTRT07-G-0003
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: Oct 28 2013 9:47AM