{"title":"电阻式微粒传感器高温预极化优化烟尘沉积","authors":"J. Ebel, Carolin Schilling, H. Fritze","doi":"10.5194/jsss-9-263-2020","DOIUrl":null,"url":null,"abstract":"Abstract. For the purposes of the onboard diagnosis (OBD) of diesel particulate\nfilters (DPFs) in diesel exhaust treatment systems, a particulate matter\n(PM) sensor is applied downstream from the DPFs to detect small amounts of\ndiesel soot that passed through the filter. The state-of-the-art technology is a sensor based on the resistive measurement principle, i.e., charged soot particles are attracted by electrophoretic forces, deposited on an interdigital electrode (IDE) structure and conductive soot bridges that reduce the overall resistance are formed. This paper reports\nhow the response time of a resistively working particulate matter sensor can be\nshortened up to 30 % by the optimization of soot deposition\nthat is initiated by a change in the sensor operation strategy. The\nmeasurement voltage is applied for prepolarization during the sensor regeneration phase rather than during the cooling phase before the\nmeasurement is commonly done. Experiments were performed at diesel\nengine test benches to examine this context and simulations of\nthe electric field above and below the IDE structure. The data are used\nto deduct a model, including the solid state chemistry of the sensor's\nceramic materials, the effect of impurities on the electric field\nproperties and the interconnection with the soot deposition, which\ndefines the sensor's response.","PeriodicalId":17167,"journal":{"name":"Journal of Sensors and Sensor Systems","volume":"9 1","pages":"263-271"},"PeriodicalIF":0.8000,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimization of soot deposition by high-temperature prepolarization of a resistive particulate matter sensor\",\"authors\":\"J. Ebel, Carolin Schilling, H. Fritze\",\"doi\":\"10.5194/jsss-9-263-2020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. For the purposes of the onboard diagnosis (OBD) of diesel particulate\\nfilters (DPFs) in diesel exhaust treatment systems, a particulate matter\\n(PM) sensor is applied downstream from the DPFs to detect small amounts of\\ndiesel soot that passed through the filter. The state-of-the-art technology is a sensor based on the resistive measurement principle, i.e., charged soot particles are attracted by electrophoretic forces, deposited on an interdigital electrode (IDE) structure and conductive soot bridges that reduce the overall resistance are formed. This paper reports\\nhow the response time of a resistively working particulate matter sensor can be\\nshortened up to 30 % by the optimization of soot deposition\\nthat is initiated by a change in the sensor operation strategy. The\\nmeasurement voltage is applied for prepolarization during the sensor regeneration phase rather than during the cooling phase before the\\nmeasurement is commonly done. Experiments were performed at diesel\\nengine test benches to examine this context and simulations of\\nthe electric field above and below the IDE structure. The data are used\\nto deduct a model, including the solid state chemistry of the sensor's\\nceramic materials, the effect of impurities on the electric field\\nproperties and the interconnection with the soot deposition, which\\ndefines the sensor's response.\",\"PeriodicalId\":17167,\"journal\":{\"name\":\"Journal of Sensors and Sensor Systems\",\"volume\":\"9 1\",\"pages\":\"263-271\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2020-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sensors and Sensor Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/jsss-9-263-2020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"INSTRUMENTS & INSTRUMENTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sensors and Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/jsss-9-263-2020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
Optimization of soot deposition by high-temperature prepolarization of a resistive particulate matter sensor
Abstract. For the purposes of the onboard diagnosis (OBD) of diesel particulate
filters (DPFs) in diesel exhaust treatment systems, a particulate matter
(PM) sensor is applied downstream from the DPFs to detect small amounts of
diesel soot that passed through the filter. The state-of-the-art technology is a sensor based on the resistive measurement principle, i.e., charged soot particles are attracted by electrophoretic forces, deposited on an interdigital electrode (IDE) structure and conductive soot bridges that reduce the overall resistance are formed. This paper reports
how the response time of a resistively working particulate matter sensor can be
shortened up to 30 % by the optimization of soot deposition
that is initiated by a change in the sensor operation strategy. The
measurement voltage is applied for prepolarization during the sensor regeneration phase rather than during the cooling phase before the
measurement is commonly done. Experiments were performed at diesel
engine test benches to examine this context and simulations of
the electric field above and below the IDE structure. The data are used
to deduct a model, including the solid state chemistry of the sensor's
ceramic materials, the effect of impurities on the electric field
properties and the interconnection with the soot deposition, which
defines the sensor's response.
期刊介绍:
Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.