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This content will become publicly available on March 28, 2018

Title: On-Board Particulate Filter Failure Prevention and Failure Diagnostics Using Radio Frequency Sensing

The increasing use of diesel and gasoline particulate filters requires advanced on-board diagnostics (OBD) to prevent and detect filter failures and malfunctions. Early detection of upstream (engine-out) malfunctions is paramount to preventing irreversible damage to downstream aftertreatment system components. Such early detection can mitigate the failure of the particulate filter resulting in the escape of emissions exceeding permissible limits and extend the component life. However, despite best efforts at early detection and filter failure prevention, the OBD system must also be able to detect filter failures when they occur. In this paper, radio frequency (RF) sensors were used to directly monitor the particulate filter state of health for both gasoline particulate filter (GPF) and diesel particulate filter (DPF) applications. The testing included controlled engine dynamometer evaluations, which characterized soot slip from various filter failure modes, as well as on-road fleet vehicle tests. The results show a high sensitivity to detect conditions resulting in soot leakage from the particulate filter, as well as potential for direct detection of structural failures including internal cracks and melted regions within the filter media itself. Finally and furthermore, the measurements demonstrate, for the first time, the capability to employ a direct and continuous monitor ofmore » particulate filter diagnostics to both prevent and detect potential failure conditions in the field.« less
Authors:
 [1] ;  [1] ;  [1] ;  [2] ;  [3] ;  [3] ;  [3]
  1. CTS Corporation, Boston, MA (United States)
  2. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
SAE International Journal of Engines (Online)
Additional Journal Information:
Journal Name: SAE International Journal of Engines (Online); Journal Volume: 10; Journal Issue: 4; Journal ID: ISSN 1946-3944
Publisher:
SAE International
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); CTS Corporation, Boston, MA (United States)
Sponsoring Org:
USDOE
Contributing Orgs:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 47 OTHER INSTRUMENTATION; failure analysis; on-board diagnostics (OBD); particulate filters
OSTI Identifier:
1352808