An Autonomous Health Monitoring System for Hybrid Propulsion Vehicles

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-06-C-0083
Agency Tracking Number: A052-238-2018
Amount: $69,978.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: A05-238
Solicitation Number: 2005.2
Small Business Information
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901
DUNS: 120839477
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jason Burkholder
 Sr. Research Scientist
 (434) 973-1215
Business Contact
 David Ward
Title: President
Phone: (434) 973-1215
Research Institution
Barron Associates, Inc. (BAI) and its subcontractor, Southwest Research Institute (SwRI), propose to develop an autonomous health monitoring system capable of diagnosing system failures and predicting the remaining life of hybrid propulsion vehicle systems. The research and development effort will leverage BAI's generic diagnostic algorithms and SwRI's hybrid propulsion systems expertise and extensive testing facilities. For the diagnostic solution, BAI proposes a fault detection and isolation (FDI) methodology that it has developed for widespread application to complex dynamical systems. The FDI algorithm is able to detect and isolate sensor, actuator, and plant faults by exploiting analytic redundancy that exists among various subsets of available actuator input and sensor output data. In addition, predicting the time and distance that the remaining energy sources could sustain operation is possible using the state estimates provided by the diagnostic system. SwRI's latest generation of vehicle modeling software, which will be used as the Phase I development platform, is the Rapid Automotive Performance Testing and Optimization Resource (RAPTOR). RAPTOR is a modular modeling and development simulation tool for vehicle fuel economy, performance, and emissions in both virtual and hardware-in-the-loop environments. RAPTOR will be used to configure virtual hybrid propulsion military vehicles from existing component models.

* Information listed above is at the time of submission. *

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