Virtual Engine In-Cylinder Pressure Sensor for Automobiles and Agricultural Tractors

Han, Runzhe; Bøhn, Christian; Bauer, Georg

doi:10.1016/j.ifacol.2020.06.091

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…Based on constructing relevant variables, it can be divided into two categories: (1) Mathematical equations based on the working mechanism of the engine to form a more suitable NOx prediction through the appropriate simplification or additional consideration of the mixing and combustion conditions in the process of NOx formation [3][4][5][6][7][8][9][10]; and (2) use some physical signals (such as in-cylinder pressure, torque, etc.) during the working process of the engine to obtain intermediate variables through signal analysis and processing, and then combine the Zeldovich mechanism to analyze and deduce the generation of NOx to construct NOx predictive models [11][12][13][14][15]. The method of the physical mechanism model needs to be familiar with the formation mechanism of NOx under the characteristics of different models and fuel characteristics and conduct strict physical formula derivation, which can describe the in-cylinder combustion and the formation process of NOx more completely.…”

Section: Introductionmentioning

confidence: 99%

Development of a NOx Calculation Model for Low-Speed Marine Diesel Engines Based on Soft Measurement Technology

Gong²,

Wang

2023

Applied Sciences

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With the increasing level of intelligence of marine engines, there is an increasing demand for the online monitoring of engines, and marine NOx emissions have been of great concern. In this paper, a NOx simulation model is developed based on virtual measurement technology, which can calculate and predict NOx emissions based on the current operating state parameters of low-speed two-stroke diesel engines. First, the calibrated 3D simulation model is used to design the experiments to obtain the simulation experimental samples. Based on the NOx generation mechanism and diesel engine work-related parameters, the relevant factors were selected as alternative input parameters for the NOx emission model. The correlation analysis was then performed on the input parameters using the grey relational analysis correlation method and the Pearson correlation coefficient, and the principal component analysis method was used to reduce the dimensionality of the relevant factors by minimizing the loss of important information in reducing the complexity of the whole model. Then, the structure-related parameters of the backpropagation neural network (BPNN) were adaptively optimized using the group method of data handling (GMDH) to improve the accuracy of the NOx soft measurement model. Finally, the developed GMDH–BP model was validated with data and compared with the error evaluation index of BPNN and BPNN optimized by genetic algorithm (GA), and the developed NOx simulation model demonstrated high prediction accuracy under the same hyperparameter settings. The result provides technical support for the subsequent realization of the real-time online monitoring of NOx emissions from low-speed marine diesel engines without NOx sensors.

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Section: Introductionmentioning

confidence: 99%

Development of a NOx Calculation Model for Low-Speed Marine Diesel Engines Based on Soft Measurement Technology

Gong²,

Wang

2023

Applied Sciences

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“…In high-temperature environments, in situ and accurate pressure measurements are required for industrial applications, such as energy extraction, environmental monitoring, turbine engines, high-speed aircraft, and other aerospace applications ( Lü et al, 2018 ; Chen et al, 2022 ; Li et al, 2022 ; Zhang et al, 2022 ), to improve component conditions and ensure engine reliability ( Bonham et al, 2017 ; Miura et al, 2017 ; Han et al, 2020 ; He et al, 2021 ). Materials are crucial as the cornerstone of pressure sensors, as sensors made of ordinary materials cannot operate optimally in high-temperature environments.…”

Section: Introductionmentioning

confidence: 99%

Process method of Si3N4 ceramic brazing sealed cavity for high-temperature application

Fang²,

Sun³

et al. 2022

Front. Chem.

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The process method of a Si3N4 ceramic sealed cavity is realized by vacuum brazing and chemical reaction at 1,100°C and 0.5 MPa pressure. Through the combination of Si3N4 ceramic polishing and thinning, inductively coupled plasma etching, and high-temperature metal filler (Ti-Zr-Cu-Ni) brazing process, a vacuum-sealed cavity suitable for high-temperature environments was prepared. The cross section of the bonding interface was characterized by scanning electron microscope (SEM) and energy dispersive spectrometer (EDS), which indicated that the two Si3N4 ceramic were well bonded, the cavity structure remained intact, and the bonding interface strength exceeded 5.13 MPa. Furthermore, it retained its strong bonding strength after in high-temperature environments of 1,000, 1,050, and 1,100°C for 1 h. This indicates that a brazed vacuum-sealed cavity can be used in high-temperature environments. Through the proposed method, pressure sensor that can withstand high temperatures can be developed.

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Fault detection and diagnostics analysis of air conditioners using virtual sensors

Kim

Lee

2021

Applied Thermal Engineering

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Virtual Engine In-Cylinder Pressure Sensor for Automobiles and Agricultural Tractors

Cited by 6 publications

References 10 publications

Development of a NOx Calculation Model for Low-Speed Marine Diesel Engines Based on Soft Measurement Technology

Development of a NOx Calculation Model for Low-Speed Marine Diesel Engines Based on Soft Measurement Technology

Process method of Si3N4 ceramic brazing sealed cavity for high-temperature application

Fault detection and diagnostics analysis of air conditioners using virtual sensors

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