Influence of key parameters on the response of a resistive soot sensor

Grondin, Didier; Westermann, Alexandre; Breuil, Philippe; Viricelle, Jean‐Paul; Vernoux, P.

doi:10.1016/j.snb.2016.05.049

Cited by 21 publications

(33 citation statements)

References 17 publications

(26 reference statements)

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“…This approach needs a regular self-cleaning of the sensor by burning the deposited soot thanks to a platinum "heater". Such a resistive soot sensor was developed and extensively studied in previous works [6][7][8][9][10]. It has been shown that when a significant polarization voltage is applied, which value depends on the sensor geometry, soot bridges are formed between the electrodes contrary to a continuous soot layer deposited with no or low polarization.…”

Section: Introductionmentioning

confidence: 99%

“…It has been shown that when a significant polarization voltage is applied, which value depends on the sensor geometry, soot bridges are formed between the electrodes contrary to a continuous soot layer deposited with no or low polarization. These "dendrite-like" paths improve the sensitivity of the sensor [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…However, performances are degraded as shown on Figure 1 (sensitivity decrease, noisy signal), beyond the optimal polarization value [7][8][9]. The conductance variation versus time strongly depends on the polarization voltage.…”

Section: Introductionmentioning

confidence: 99%

“…The conductance variation versus time strongly depends on the polarization voltage. Using various operating point to generate soot, it was also demonstrated that this optimum value is dependent on the soot characteristics, such as their chemical nature and size distribution [7,9].…”

Section: Introductionmentioning

confidence: 99%

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Modeling of the signal of a resistive soot sensor, influence of the soot nature and of the polarization voltage

Grondin

Breuil

Viricelle

et al. 2019

Sensors and Actuators B: Chemical

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Resistive soot sensors capable of measuring the mass concentration of particles in an exhaust pipe have been developed in a previous work. In particular, it has been shown that these sensors have an optimal sensitivity for a certain polarization voltage depending on the nature of the particles. This work shows that this effect can be explained by an equilibrium between the creation of soot bridges between the two collecting electrodes and their destruction initiated by Joule effect due to the polarization voltage. Based on this assumption, a model is proposed to predict the load curve (response versus time) of the sensor. In addition, the high frequency sampling of the sensor response has revealed some jumps of the sensor response (electrical conductance), which are exploited through a statistical approach to obtain additional information on the nature of the collected particles.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling of the signal of a resistive soot sensor, influence of the soot nature and of the polarization voltage

Grondin

Breuil

Viricelle

et al. 2019

Sensors and Actuators B: Chemical

Self Cite

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“…Recently, PM sen-sors based on different working principles have appeared. Based on the multilayer ceramic technology, the resistive and capacitive PM sensor developed jointly by BOSCH (Germany) and NTK (Japan) converts resistance and capacitance values into PM concentration [6,8]. Picasso in Finland proposed the charging current difference PM sensor, where corona charger is put in the sensor Faraday cup.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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.

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