0

Full Content is available to subscribers

Subscribe/Learn More  >

System Diagnosis and Fault Mitigation Strategies for an Automated Manual Transmission

[+] Author Affiliations
Simon J. H. Trask, Greg J. Jankord, Aditya A. Modak, Brian M. Rahman, Giorgio Rizzoni, Shawn W. Midlam-Mohler

The Ohio State University, Columbus, OH

Guido R. Guercioni

Politecnico di Torino, Torino, Italy

Paper No. DSCC2017-5138, pp. V002T19A001; 10 pages
doi:10.1115/DSCC2017-5138
From:
  • ASME 2017 Dynamic Systems and Control Conference
  • Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications
  • Tysons, Virginia, USA, October 11–13, 2017
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5828-8
  • Copyright © 2017 by ASME

abstract

The introduction of hybrid vehicle architectures into the mass car market has dramatically increased fault detection and mitigation strategies seen in vehicles to match the growth in potential failures coming from increasingly complex powertrain architectures. To meet this increased demand for fault detection and mitigation of multiple powertrain components, advanced methodologies have been developed to determine the functional safety of systems. This paper focuses on the use of one of those advanced methodologies, structural analysis, to develop the design, implementation, diagnostics, and control of a prototype automated manual transmission. Structural analysis is the concept of analyzing the mathematical structure of a system to determine the diagnostic capabilities of sensors in the system. From this information, a controls strategy can be developed to address potential failure modes of a system utilizing the derived equations and knowledge of which sensors provide coverage for failure modes analyzed. Moreover, the need for additional sensors can be determined through this analysis. Using structural analysis, the Ohio State University EcoCAR 3 research team carried out a diagnostic and mitigation study during the development of their automated manual transmission.

Copyright © 2017 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In