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Characteristics of Resistive PM Sensors for Onboard Diagnostics of Diesel Particulate Filter Failure.
Oh, Kwang Chul; Lee, Kyoung Bok; Jeong, Byeong Gyu.
Afiliación
  • Oh KC; Korea Automotive Technology Institute, Cheonan-si 31214, Korea.
  • Lee KB; Korea Automotive Technology Institute, Cheonan-si 31214, Korea.
  • Jeong BG; Korea Automotive Technology Institute, Cheonan-si 31214, Korea.
Sensors (Basel) ; 22(10)2022 May 16.
Article en En | MEDLINE | ID: mdl-35632176
ABSTRACT
In accordance with the recently reinforced exhaust regulations and onboard diagnostics regulations, it is essential to adopt diesel particulate filter systems in diesel vehicles; a sensor that directly measures particulate matter (PM) in exhaust gas is installed to precisely monitor diesel particulate filter (DPF) failure. Because the reduction of particulate matter in the diesel particulate filter system is greatly influenced by the physical wall structure of the substrate, the presence or absence of damage to the substrate wall (cracks or local melting, etc.) determines the reliability of normal DPF operation. Therefore, an onboard diagnostics sensor for particle matter is being developed with a focus on monitoring damage to the DPF wall. In this study, as a sensor for determining damage to the substrate wall, an accumulation-type sensor whose resistance changes as soot particles are deposited between two electrodes was fabricated. The sensor characteristics were investigated by changing the gap between the sensor electrodes, sensor cap shape, and electrode bias voltage to improve resistive soot sensor sensitivity and response. From the signal characteristics of various sensor configurations, a combination sensor with improved signal stability and response time is manufactured, and they were compared with the characteristics of commercially available sensors in the engine-simulated NEDC mode in terms of the degree of DPF crack. As a result of transient mode, PM monitoring cycle was improved by 1.2~1.5 times during the same vehicle driving time compared to the existing commercial sensor.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducción de Automóvil / Material Particulado Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Conducción de Automóvil / Material Particulado Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article