PM Sensor Based On-Board Diagnosis of Particulate Filter Efficiency

Hoepfner, Andreas; Roduner, Christian

doi:10.4271/2013-01-1515

Cited by 13 publications

(15 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For an experiment with a 8.9 L, 6-cylinder, turbocharged engine operated in the FTP cycle test conditions, the time interval window of 20 s was selected as a good trade-off between transient tracking and noise reduction. 32 The pre-and post-DPF soot mass flow rates determine the real-time DPF efficiency, and the filtration efficiency averaged over time in a certain window can be diagnosed on board. Estimating the filtration efficiency under a transient operating condition with the filtration efficiency obtained under the steady-state conditions requires a model that describes the exhaust gas flow behavior associated with the time lag and the intermixing phenomena between gas packages and exhaust gas flow.…”

Section: Accumulation Rate Methodsmentioning

confidence: 99%

“…In order to remove the frequency noises, the values of instantaneous filtration efficiencies are low-pass filtered. [31][32][33] Figure 4 shows an example of an off-cycle behavior of the resistive soot sensor obtained by the accumulation rate method during a test run of a vehicle mounted with a 3.0 L, V6 common-rail diesel engine. 32 The bottom plot in the figure shows the vehicle speed profile which comprises three driving patterns of an urban, highway, and interstate roads.…”

Section: Accumulation Rate Methodsmentioning

confidence: 99%

“…There are various approaches to predict the soot concentration from the resistive soot sensor signal. 6,[31][32][33] The approaches could be classified as the accumulation rate method or the accumulation time method. 34 Figure 3.…”

Section: Resistive Soot Sensormentioning

confidence: 99%

“…This demands averaging the fluctuating signal over a time window or processing the signal using a low-pass filter. 32,34 The variability of the estimated filtration efficiency was calculated for various averaging times. 34 The result showed a notable reduction in the variability from 623% to 69% at three-sigma when the averaging time was increased from 0 to 60 s.…”

Section: Signal Processingmentioning

confidence: 99%

See 3 more Smart Citations

A review of soot sensors considered for on-board diagnostics application

Kamimoto

2016

International Journal of Engine Research

View full text Add to dashboard Cite

If emissions control systems and engine control devices experience a failure, the engine system may malfunction causing exhaust emissions to exceed the standard levels of the regulated emissions. Thus, the functional status of each of all primary control devices needs to be monitored for detecting possible failures, so that the proper action can be taken to warn the vehicle operator. This article reviews a soot sensor currently developed for on-board diagnostics to monitor a diesel particulate filter and detect the failure. Original equipment manufacturers have selected a resistive soot sensor for the on-board diagnostics application because of its commercial feasibility in terms of functionality and cost. The sensor accumulates soot particles in exhaust gas on the sensing element. Structure, design, and function of the cumulative sensor including the signal processing techniques are described. Since the sensor signal contains noises and fluctuations, the post-diesel particulate filter soot concentration is repeatedly measured over 100 times and averaged in order to ensure the measurement accuracy, so that the diesel particulate filter failures can be detected. In addition to the resistive soot sensor, this article reviews the status of currently developed continuous soot sensors such as an electrostatic sensor, an electrical charging sensor, and a radio frequency-based sensor. These sensors have major issues of packaging and cost to be resolved prior to application to production vehicles. This review article is based primarily on scientific literatures most of which were published a few years ago, but the development of new soot sensor concepts has been continuing in the industry. Three new soot sensor concepts all of which are under development are also reported.

show abstract

Section: Accumulation Rate Methodsmentioning

confidence: 99%

Section: Accumulation Rate Methodsmentioning

confidence: 99%

Section: Resistive Soot Sensormentioning

confidence: 99%

Section: Signal Processingmentioning

confidence: 99%

See 2 more Smart Citations

A review of soot sensors considered for on-board diagnostics application

Kamimoto

2016

International Journal of Engine Research

View full text Add to dashboard Cite

show abstract

“…PM sensor can satisfy the requirement of the abovementioned OBD standard, because it can acquire the mass concentration of PM in exhausted gas, which can directly infer and adjust the working status of DPF. Therefore, the demand for the new high-precision PM sensors is becoming more and more urgent [5][6][7]. Recently, PM sen-sors based on different working principles have appeared.…”

Section: Introductionmentioning

confidence: 99%

The Simulation on Temperature and Thermal Stress of Leakage Current Particulate Matter Sensor on Diesel Engine

et al. 2019

View full text Add to dashboard Cite

Based on the working environment and control strategy of the leakage current particulate sensor on the diesel engine, the ANSYS finite element simulation is applied to prove the reliability of the sensor in the response phase. It shows that the full load conditions of the diesel engine harsh the exhaust environment, which leads to higher thermal stress in the sensor. The temperature of the front end of the sensor base is up to 227°C, and the highest thermal stress appearing in the sensor is 88 MPa. Both of them are lower than the upper limit request, which guarantees the working reliability of the sensor in long period. The effect of outside environment on the highest temperature of the sensor base is also investigated, and it shows that the lower temperature and the higher convective heat transfer coefficient would be in favor of the reliable work of the sensor. In addition, it shows that the cold start time of the sensor is reducing exponentially with the increasing heating power, and the optimum heating power is 60 W taking the linearly increasing thermal stress into consideration.

show abstract