A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Standard

A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array. / Muric, Kenan; Tunestål, Per; Stenlåås, Ola.

SAE international journal of engines. Vol. 6 Society of Automotive Engineers, 2013. p. 246-256.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Harvard

Muric, K, Tunestål, P & Stenlåås, O 2013, A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array. in SAE international journal of engines. vol. 6, Society of Automotive Engineers, pp. 246-256, SAE World Congress & Exhibition, 2013, Detroit, Michigan, United States, 2013/04/16. https://doi.org/10.4271/2013-01-0344

APA

Muric, K., Tunestål, P., & Stenlåås, O. (2013). A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array. In SAE international journal of engines (Vol. 6, pp. 246-256). Society of Automotive Engineers. https://doi.org/10.4271/2013-01-0344

CBE

Muric K, Tunestål P, Stenlåås O. 2013. A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array. In SAE international journal of engines. Society of Automotive Engineers. pp. 246-256. https://doi.org/10.4271/2013-01-0344

MLA

Muric, Kenan, Per Tunestål and Ola Stenlåås "A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array". SAE international journal of engines. Society of Automotive Engineers. 2013, 246-256. https://doi.org/10.4271/2013-01-0344

Vancouver

Muric K, Tunestål P, Stenlåås O. A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array. In SAE international journal of engines. Vol. 6. Society of Automotive Engineers. 2013. p. 246-256 https://doi.org/10.4271/2013-01-0344

Author

Muric, Kenan ; Tunestål, Per ; Stenlåås, Ola. / A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array. SAE international journal of engines. Vol. 6 Society of Automotive Engineers, 2013. pp. 246-256

RIS

TY - GEN

T1 - A Fast Crank Angle Resolved Zero-Dimensional NOx Model Implemented on a Field-Programmable Gate Array

AU - Muric, Kenan

AU - Tunestål, Per

AU - Stenlåås, Ola

PY - 2013

Y1 - 2013

N2 - In the automotive industry, the piezo-based in-cylinder pressure sensor is getting commercialized and used in production vehicles. For example, the pressure sensor offers the opportunity to design algorithms for estimation of engine emissions, such as soot and NO, during a combustion cycle. In this paper a zero-dimensional NO model for a diesel engine is implemented that will be used in real time. The model is based on the thermal NO formation and the Zeldovich mechanism using two non-geometrical zones: burned and unburned zone. The influence of EGR on combustion temperature was modeled using a well-known thermodynamic identity where specific heat at constant pressure is included. Specific heat will vary with temperature and the gas composition. The model was implemented in LabVIEW using tools specific for an FPGA (Field-Programmable Gate Array). In order to simplify and implement the model, least-squares-criterion-based polynomial approximations are used that enables the utilization of fast algorithms as well as sub-routines (sub-VIs). The sub-routines can be used to save space on the Field Programmable Gate Array (FPGA) and thus minimizing the risk of potential issues regarding overmapping of the hardware. In this case the interpolating functions are polynomials that only consume addition and multiplication operations. This is suited for the objective in mind due to the fact that the model tailored for an FPGA cannot, in a sufficient manner, handle highly complex calculations nor divisions. The time results obtained during the execution of the model indicates that it is possible to update the NO, at a given temporal state, well below the time corresponding to a crank angle degree. The FPGA NO model was tested against measurement data collected from a Scania engine. The time needed to execute an iteration of the model was approximately 3 μs.

AB - In the automotive industry, the piezo-based in-cylinder pressure sensor is getting commercialized and used in production vehicles. For example, the pressure sensor offers the opportunity to design algorithms for estimation of engine emissions, such as soot and NO, during a combustion cycle. In this paper a zero-dimensional NO model for a diesel engine is implemented that will be used in real time. The model is based on the thermal NO formation and the Zeldovich mechanism using two non-geometrical zones: burned and unburned zone. The influence of EGR on combustion temperature was modeled using a well-known thermodynamic identity where specific heat at constant pressure is included. Specific heat will vary with temperature and the gas composition. The model was implemented in LabVIEW using tools specific for an FPGA (Field-Programmable Gate Array). In order to simplify and implement the model, least-squares-criterion-based polynomial approximations are used that enables the utilization of fast algorithms as well as sub-routines (sub-VIs). The sub-routines can be used to save space on the Field Programmable Gate Array (FPGA) and thus minimizing the risk of potential issues regarding overmapping of the hardware. In this case the interpolating functions are polynomials that only consume addition and multiplication operations. This is suited for the objective in mind due to the fact that the model tailored for an FPGA cannot, in a sufficient manner, handle highly complex calculations nor divisions. The time results obtained during the execution of the model indicates that it is possible to update the NO, at a given temporal state, well below the time corresponding to a crank angle degree. The FPGA NO model was tested against measurement data collected from a Scania engine. The time needed to execute an iteration of the model was approximately 3 μs.

KW - Internal Combustion Engines

KW - Diesel Engines

KW - FPGA

KW - Emission Model

U2 - 10.4271/2013-01-0344

DO - 10.4271/2013-01-0344

M3 - Paper in conference proceeding

VL - 6

SP - 246

EP - 256

BT - SAE international journal of engines

PB - Society of Automotive Engineers

T2 - SAE World Congress & Exhibition, 2013

Y2 - 16 April 2013 through 18 April 2013

ER -