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A Virtual Sensor for Soot Load Estimation in Diesel Particulate Filters

[+] Author Affiliations
Pratik Magar, Sohel Anwar, Afshin Izadian

Indiana University Purdue University Indianapolis, Indianapolis, IN

Paper No. IMECE2018-88094, pp. V04AT06A051; 7 pages
  • ASME 2018 International Mechanical Engineering Congress and Exposition
  • Volume 4A: Dynamics, Vibration, and Control
  • Pittsburgh, Pennsylvania, USA, November 9–15, 2018
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5203-3
  • Copyright © 2018 by ASME


In this paper, a new method for measuring the DPF soot load is proposed which does not require any physical sensors for its operation. This method is applicable for all the automobiles equipped with a turbocharger. The proposed virtual sensor utilizes the information on the turbocharger turbine speed variations to estimate the DPF soot load. Simulation results show that the proposed method offers an effective way to accurately estimate the soot load in DPF. The proposed method can have a significant impact on improving the DPF regeneration process efficiency (and thereby fuel efficiency) by eliminating the use of less reliable differential pressure sensor based DPF soot load estimation.

Copyright © 2018 by ASME



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