Advertisement

Development of the Particulate Matter Sensor for Diesel Engine

  • Dong Gu KimEmail author
  • Sang Hyeok Yang
  • Hyun Soo Kim
Article
  • 6 Downloads

Abstract

This paper proposes a development of the low-cost and capacitance measurement particulate matter (PM) sensor to monitor diesel particulate filter (DPF) failure. Compared to the resistance measurement PM sensor that is affected by ash accumulated between electrodes due to periodic PM regeneration, capacitance measurement method has the advantage of compensating with capacitance measurement even though the initial ash is present. To reduce the manufacturing cost, we fabricated the proposed sensor with alumina instead of zirconia as the substrate and reduced the sensing area by 26 % compared to the conventional PM sensor. As a result of evaluation, the response time of 5 min required to reach a threshold 50pF at the exhaust gas flow rate of 70 kg/h and PM concentration of 10 mg/m3. It is similar to the conventional PM sensor which takes 343 sec. Durability of the alumina-based PM sensor investigated through thermal endurance test, and the sensor features (C0, R0heater and response time) indicated no significant difference before and after the test.

Key words

Particulate matter DPF monitoring Capacitance Diesel engine 

Nomenclature

Nomenclature

C0

initial capacitance, pF

C1

external capacitance, pF

ΔC

capacitance change of the sensor, pF

R0heater

initial heater resistance, Ω

Vb

bias voltage, V

Subscripts

PM

particulate matter

OBD

on-board diagnostics

DPF

diesel particulate filter

IDEs

inter-digitated electrodes

IC

integrated circuit

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. David, C., David, E. F., Toshio, K. and Nicholas, V. (2015). Encyclopedia of Automotive Engineering: Engines - Fundamentals. John Wiley & Sons. Chichester, UK.Google Scholar
  2. Grodin, D., Westermann, A., Breuil, P., Viricelle, J. P. and Vernoux, P. (2016). Influence of key parameters on the response of a resistive soot sensor. Sensors and Actuators B: Chemical, 236, 1036–1043.CrossRefGoogle Scholar
  3. Jo, S., Ko, Y., Kim, J., Yi, T., Park, H. and Sim, D. (2016). Capacitive particulate matter sensor for DPF diagnostics. Fall Conf. Proc., Korean Society of Automotive Engineers, 169–174.Google Scholar
  4. Jung, I., Kim, Y., Park, D., Hwang, J. and Kim, Y. (2008). Micromachined electrical mobility analyzer for wide range airborne particle classification. Proc. IEEE 21st Int. Conf. Micro Electro Mechanical Systems, Wuhan, China.Google Scholar
  5. Kim, S., Kim, Y., Lee, J., Min, K. and Chun, K. (2013). A particulate matter sensor with groove electrode for realtime diesel engine on-board diagnostics. J. Sensor Science and Technology 22, 3, 191–196.CrossRefGoogle Scholar
  6. McMurry, P. H. (2000). A review of atmospheric aerosol measurements. Atmospheric Environment 34, 12–14 1959–1999.CrossRefGoogle Scholar
  7. Ochs, T., Schittenhelm, H., Genssle, A. and Kamp, B. (2010). Particulate matter sensor for on board diagnostics (OBD) of diesel particulate filters (DPF). SAE Int. J. Fuels and Lubricants 3, 1, 61–69.CrossRefGoogle Scholar
  8. Raaschou-Nielsen, O. et al. (2013). Air pollution and lung cancer incidence in 17 European cohorts: Prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE). Lancet Oncol 14, 9, 813–822.CrossRefGoogle Scholar

Copyright information

© KSAE 2019

Authors and Affiliations

  1. 1.Research & Development DivisionHyundai Motor CompanyUiwang-si, GyeonggiKorea

Personalised recommendations