An electrochemical model of an amperometric NOx sensor

Aliramezani, Masoud; Koch, Charles Robert; Secanell, Marc; Hayes, Robert E.; Patrick, Ron

doi:10.1016/j.snb.2019.03.135

Cited by 26 publications

(5 citation statements)

References 44 publications

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“…In many kinetics approaches, reactions are considered elemental, and a first order is chosen for the kinetic study [ 37 , 38 ]. Sometimes, the reaction order can rely on the operational conditions (especially in the case of gases) and can be a function of temperature, for example.…”

Section: Methodsmentioning

confidence: 99%

From the Modeling of an Electrochemical YSZ-Based Gas Sensor Used in Electrolysis Mode

Lakhmi,

Viricelle,

Alrammouz

et al. 2024

Sensors

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Electrochemical sensors have been used for many decades. However, the modeling of such sensors used in electrolysis mode is poorly documented, especially in the case of multiple gases’ parallel actions. These are of great interest since they constitute the first brick to bring information on the natures and concentrations of gaseous mixture compositions, thanks to gray box modeling of sensor arrays, for example. Based on Butler–Volmer’s equations, a model assuming parallel reactions at gold cathode has been introduced in this article and confronted with experimental results. The establishment of the model is based on the extraction of three variables: the charge transfer coefficient “α”, the reaction order γ, and the reaction constant rate k0. Tests performed without pollutants and with different concentrations of oxygen could be nicely fitted using the model. The influence of the polarization current on the three variables of the model has been evaluated, showing a clear influence on the constant rate and the reaction order. Moreover, increasing the polarization current enabled us to obtain selectivity for oxidant gases. Similarly, the effect of the oxygen concentration was evaluated. Results showed that, in this case, the charge transfer coefficients “α” obtained for oxidant gases are quite different from the ones obtained in the polarization current varying conditions. Therefore, the model will be interesting in situations where polarization current and oxygen content are not varied together. Variation of polarization current can be quite interesting to obtain increased information for multivariate analysis purposes in constant oxygen content situations. Additionally, other parameters have to be considered for applications in which the oxygen content is bound to change, such as exhaust gases or combustion.

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Section: Methodsmentioning

confidence: 99%

From the Modeling of an Electrochemical YSZ-Based Gas Sensor Used in Electrolysis Mode

Lakhmi,

Viricelle,

Alrammouz

et al. 2024

Sensors

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show abstract

“…Their working principle is based on the measurement of an electric current which is proportional to the N O x gas dissociated into N 2 and oxygen gas ( O 2 ) in the sensor. 20 The basic operating principle was firstly described in. 21 N O x sensors are made of three main cavities, as shown in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

NOx sensor cross sensitivity model and simultaneous prediction of NOx and NH3 slip from automotive catalytic converters under real driving conditions

Plá

Piqueras

Bares

et al. 2020

International Journal of Engine Research

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This work presents the development of a model to capture the NOx sensors cross sensitivity behavior based on [Formula: see text] sensor cell temperature, as well as a model do predict the slip of the NOx and NH3 after the SCR catalyst, as a way to reduce the error in the exhaust emissions estimation needed for feedback SCR control strategies. The emissions prediction model is based on the different cross sensitivity behavior of two distinct NOx sensors. The proposed models were tested and compared on a fully instrumented engine test bench when applied in a Worldwide harmonized Light vehicles Test Cycle (WLTC) and a full map cycle. As a result, the proposed model showed for NOx sensors cross sensitivity estimation an overall improvement of 34.8% for sensor 1 and 31.0% for sensor 2, and in terms of emissions prediction an overall improvement of 36.3% for NOx and 45.5% for NH3 slip.

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“…As presented in Figure 17, NOx emissions measured by PEMS and SEMS eq on Routes A and B were quantitatively indicated for urban, rural, and motorwa Regarding the urban part, it was determined that NOx emissions were higher tha other driving parts because there were various driving characteristics such as veh gestion owing to the shutdown of the signal system, and a highly populated metr area. Regarding the rural and motorway, it was determined that NOx emissio lower than that of the urban part because of inertia driving with a fuel-cut, w improve the fuel efficiency of the vehicle, and reduced exhaust emissions become ble as vehicle speed increases [29]. In addition, NOx emissions measured by th equipment were relatively higher than that of the PEMS equipment.…”

Section: Correlation Of Nox Emissions Between the Pems And Sems Equipment On-roadmentioning

confidence: 99%

NOx Emission of a Correlation between the PEMS and SEMS over Different Test Modes and Real Driving Emission

Jeong

Chon

et al. 2021

Energies

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The aim of this study is to verify the reliability of NOx emissions measured using Smart Emissions Measurement System (SEMS) equipment in comparison with the NOx emissions measured using certified Portable Emissions Measurement System (PEMS) equipment. The SEMS equipment is simple system, and it is less expensive than the PEMS equipment, as it comprises an On-Board Diagnostics (OBD) signal from the test vehicle and a NOx sensor. The SEMS equipment based on low-cost sensors has an advantage of building big data, but there are insufficient previous studies comparing of NOx emissions with certified the PEMS equipment. Therefore, this study is important in verifying the suitability of the SEMS equipment by comparing the NOx emissions measured by the various test modes and RDE using the two types of equipment. To analyze the correlation between the PEMS and SEMS equipment, the advanced diesel vehicle was equipped with the two types of equipment to simultaneously measure NOx emissions. After installing the equipment on the test vehicle, it was conducted under various test modes in the laboratory and the Real Driving Emission (RDE) test to verify the correlation of NOx emissions measured by the SEMS equipment. The correlation analysis for the NOx emissions measured by the PEMS and SEMS equipment under various test conditions and the RDE test indicated that the slope of the NOx emissions was approximately equal to 1, and the coefficient of determination was 0.9 or higher. Based on these test results, it was concluded that NOx emissions measured by the PEMS and SEMS equipment are highly similar.

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An electrochemical model of an amperometric NOx sensor

Cited by 26 publications

References 44 publications

From the Modeling of an Electrochemical YSZ-Based Gas Sensor Used in Electrolysis Mode

From the Modeling of an Electrochemical YSZ-Based Gas Sensor Used in Electrolysis Mode

NOx sensor cross sensitivity model and simultaneous prediction of NOx and NH3 slip from automotive catalytic converters under real driving conditions

NOx Emission of a Correlation between the PEMS and SEMS over Different Test Modes and Real Driving Emission

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