| Alberta Innovates ScholarshipAlberta Innovates Graduate Studen tScholarship - Data-Enabled Innovation | Award | 2021-01-01 | Armin Norouzi Yengeje |
| Doctorial Recruitment Scholarship University of Alberta | Award | 2019-01-01 | Gordon, D. |
| Government of Alberta Graduate Citizenship AwardGovernment of Alberta Graduate Citizenship Award, for “Outstanding dedication and leadership to fellow students and Alberta communities”. October 2018. | Award | 2018-10-01 | Masoud Aliramezani |
| Government of Alberta Graduate Scholarship University of Alberta | Award | 2018-09-01 | Gordon, D. |
| Graduate Scholarship in Environmental Engineering University of Alberta | Award | 2019-10-01 | Gordon, D. |
| International Exchange Award University of Alberta | Award | 2018-04-30 | Gordon, D. |
| J Gordin Kaplan Graduate Student AwardJ Gordin Kaplan Graduate Student Award | Award | 2018-05-01 | Masoud Aliramezani |
| Queen Elizabeth II Graduate Scholarship University of Alberta | Award | 2018-09-01 | Gordon, D. |
| Westmoreland Coal Company Graduate Scholarship in Environmental Engineering University of Alberta | Award | 2018-10-01 | Gordon, D. |
| Model Predictive Control of Ginzburg-Landau Equation University of Alberta | Publication | 2018-08-01 | Mojtaba Izadi, Koch, C., Stevan S Dubljevic |
| A control oriented diesel engine NOx emission model for on board diagnostics and engine control with sensor feedback University of Alberta | Publication | 2019-01-01 | Masoud Aliramezani, Robert E Hayes, Armin Norouzi Yengeje, Koch, C. |
| Axial insulation rings - testing and simulation of pressure drop and temperature transients in engine exhaust catalysts University of Alberta | Publication | 2018-05-01 | Giffin Symko, Masoud Aliramezani, Koch, C., R E Hayes |
| Deep Neural Network based Performance and Emission Modelling University of Alberta | Publication | 2023-01-01 | Gordon, D., Edward Sperling, Armin Norouzi Yengeje, Koch, C., A Winkler, J Andert |
| Development and Experimental Validation of an FPGA Based In-Cycle Direct Water Injection Control Strategy for HCCI Combustion Stability University of Alberta | Publication | 2018-01-01 | Gordon, D., Christian Wouters, Maximilian Wick, Bastian Lehrheuer, Jakob Andert, Koch, C., Stefan Pischinger |
| Evaluation of the Potential of Direct Water Injection in HCCI Combustion University of Alberta | Publication | 2019-01-19 | "Christian Wouters", "Tamara Ottenwälder", " Bastian Bastian Bastian Bastian Lehrheuer, " Stefan Stefan Stefan Stefan Pischinger, "Maximilian Wick", "Jakob Andert", Gordon, D. |
| Experimental Investigation and Analysis of Natural Gas RCCI on a Modifed GDI Engine using NVO University of Alberta | Publication | 2018-05-01 | R Klikach, K Ebrahimi, Koch, C. |
| Imitative Learning Control of a LSTM-NMPC Controller on PEM Fuel Cell for Computational Cost Reduction University of Alberta | Publication | 2023-01-01 | Alireza Salahi, S Moghadasi, H Borhan, Koch, C., Shahbakhti, M. |
| Integral discrete-time sliding mode control of homogeneous charge compression ignition (hcci) engine load and combustion timingConference Paper University of Alberta | Publication | 2019-08-10 | Armin Norouzi Yengeje, Koch, C. |
| Integration of PD-type Iterative Learning Control with Adaptive Sliding Mode ControlProportional-Derivative type Iterative Learning Controller (PD-ILC) is combined with an Adaptive Sliding Mode Controller (ASMC) using a plug-in structure to a rotary pendulum. The ASMC adaptation law is used to update a switching gain of sliding surface in Sliding Mode Control (SMC) controller. The proposed hybrid controller stability and convergence are mathematically shown and then experimentally demonstrates using two-degree-of-freedom (2-DOF) Quanser\textcopyright~QUBE$^TM$~Servo 2 Rotary Pendulum. Results illustrate that adaptation law helps the controllers to achieve higher accuracy tracking performance compared to the classic SMC controller. Based on the experimental results, the hybrid control of PD-ILC and ASMC has faster and more accurate tracking results than ILC controller indicating the combined controller has better performance than the individual controllers. University of Alberta | Publication | 2020-07-15 | Armin Norouzi Yengeje, Koch, C. |
| Investigating the effect of temperature on NOx sensor cross sensitivity to ammonia using a physics based model University of Alberta | Publication | 2017-05-15 | Masoud Aliramezani, K Ebrahimi, R E Hayes, Koch, C. |
| Machine learning-based diesel engine-out NOx reduction using a plug-in PD-type iterative learning control University of Alberta | Publication | 2020-08-26 | Armin Norouzi Yengeje, Gordon, D., Masoud Aliramezani, Koch, C. |
| MPC implementation for HCCI Combustion using a Deep Neural Network based model University of Alberta | Publication | 2023-01-01 | Gordon, D., Edward Sperling, Armin Norouzi Yengeje, Koch, C., A Winkler, J Andert |
| NVO peak pressure based in-cycle control for HCCI combustion using direct water injectionHomogeneous Charge Compression Ignition (HCCI), is a low temperature combustion method, which can significantly
reduce nitrogen oxides (NOx) emissions compared to current lean-burn spark ignition engines. The lack of direct ignition
control leads to high cyclic variation with HCCI combustion. A fully variable electromagnetic valve train is used to
provide the required thermal energy for HCCI through internal exhaust gas recirculation (EGR) using negative valve
overlap (NVO). This leads to an increase in the cyclic coupling as residual gas and unburnt fuel is transferred between
cycles through EGR. To improve combustion stability an experimentally validated feed-forward water injection controller
is presented. Utilizing the low latency and rapid calculation rate of a Field Programmable Gate Array (FPGA) a real-time
calculation of the cylinder pressure and the controller is implemented on a prototyping engine controller. The developed
and experimentally tested controller relates the upcoming combustion phasing to the peak NVO pressure. This control
strategy aims to prevent the early rapid combustion following combustion during the NVO period by using direct water
injection to cool the cylinder charge and counter the additional thermal energy from any residual fuel that burnt during
the NVO period. By cooling the trapped cylinder mass the upcoming combustion phasing can be delayed to the desired
setpoint. The controller was experimentally tested showed slight improvement in the combustion stability as shown by a
reduction in the standard deviation of indicated mean effective pressure and reduced pressure rise rates. University of Alberta | Publication | 2019-05-16 | Gordon, D., Koch, C., "Christian Wouters", "Bastian Lehrheuer", "Stephan Pischinger", "Maximilian Wick", "Jakob Andert" |
| Performance and Emission Investigation of Hydrogen Diesel Dual Fuel Combustion University of Alberta | Publication | 2023-01-01 | Jakub Tyler McNally, Gordon, D., Edward Sperling, Shahbakhti, M., Koch, C. |
| Real-time Control of HCCI Engine Using Model Predictive Control University of Alberta | Publication | 2018-06-01 | Khashayar Ebrahimi, Koch, C. |
| Response characteristics of an amperometric NOx-O2 sensor at non diffusion-rate-determining conditions University of Alberta | Publication | 2021-04-14 | Masoud Aliramezani, Koch, C. |
| Robotic Manipulator Control Using PD-type Fuzzy Iterative Learning Control University of Alberta | Publication | 2019-01-01 | Armin Norouzi Yengeje, Koch, C. |
| Support vector machine for a diesel engine performance and NOx emission control-oriented model University of Alberta | Publication | 2020-07-15 | Masoud Aliramezani, Armin Norouzi Yengeje, Koch, C. |
| Symmetric Negative Valve Overlap effects on energy distribution of a single cylinder HCCI engine University of Alberta | Publication | 2018-04-02 | K Ebrahimi, Koch, C. |
| The Effect of Operating Parameters of an Amperometric NOx-O2 Sensor on the Sensor ResponseThe Effect of Operating Parameters of an Amperometric NOx-O2 Sensor on the Sensor Response conference paper. University of Alberta | Publication | 2019-06-15 | Masoud Aliramezani, Koch, C. |
| Symposium for Combustion Control (SCC) 2018The automotive world is facing rapid changes. Real world driving emissions are in the focus of the public, well-established technologies are reassessed and new players enter the global market. To achieve a sustainable and green mobility the development of efficient and clean combustion engines is one of the key requirements. Most of the promising and novel approaches require innovative closed-loop control approaches, detailed physical models, powerful control logics and new sensor concepts.
The Symposium for Combustion Control was established in 2015 to foster the interaction between the scientific community and the automotive industry. Its focus are the latest theoretical and application driven developments for the control of next generation combustion engines. In the last years, the program was completed with presentations for example given by VW AG, DENSO, Daimler AG, Jaguar Land Rover Ltd., Ford, BMW Group, TNO Automotive, and many further international companies and universities. University of Alberta | Activity | 2018-06-27 | Gordon, D., Koch, C. |
| AAC 20199th IFAC Int. Sym. on Advances in Automotive Control, Orleons, France University of Alberta | Activity | 2019-08-10 | Koch, C., Armin Norouzi Yengeje |
| CCECE 2019 University of Alberta | Activity | 2019-05-03 | Armin Norouzi Yengeje, Koch, C. |
| Combustion Institute Canadian Section (CICS) 2018 University of Alberta | Activity | 2018-05-11 | Masoud Aliramezani, Koch, C. |
| Combustion Institute Canadian Section (CICS) 2019Combustion Institute Canadian Section (CICS) 2019 University of Alberta | Activity | 2019-05-14 | Masoud Aliramezani, Armin Norouzi Yengeje, Gordon, D., Koch, C. |
| DME Sustainable Mobility WorkshopWorkshop on the potential of DME for passenger and heavy duty applications. University of Alberta | Activity | 2019-05-24 | Gordon, D. |
| Investigating the effect of temperature on NOx sensor cross sensitivity to ammonia using a physic-based model"Investigating the effect of temperature on NOx sensor cross sensitivity to ammonia using a physic-based model", University of Alberta | Activity | 2017-05-16 | Masoud Aliramezani, "Khashayar Ebrahimi", Koch, C., "Robert Hayes" |
| Production engine emission sensor modeling for in-use measurement and on-board diagnosticsFES poster session 2019 University of Alberta | Activity | 2020-02-26 | Masoud Aliramezani, Koch, C. |
| SCC 2018 in Aachen University of Alberta | Activity | 2019-04-14 | Koch, C. |
| Symposium for Combustion Control (SCC) 2017Symposium for Combustion Control University of Alberta | Activity | 2017-06-28 | Gordon, D., Koch, C. |
| Symposium for Combustion Control (SCC) 2019SCC 2019 in Aachen
The Symposium for Combustion Control directed by Prof. Stefan Pischinger (Institute for Combustion Engines), Prof. Jakob Andert (Institute for Combustion Engines), Prof. Dirk Abel (Institute of Automatic Control), Dr. Thivaharan Albin (Institute of Automatic Control) and Prof. Heinz Pitsch (Institute for Combustion Technology) of RWTH Aachen University has already taken place for the fourth time. In this year, again over 90 participants from 13 different countries visited the conference in Aachen.
In 19 technical presentations and additional plenary speeches of Prof. Christian Schwarz (BMW Group), Prof. Per Tunestål (Lund University) and Prof. Gregory M. Shaver (Purdue University), the latest theoretical and application driven developments for the control of next generation combustion engines were presented. During the two conference days, varied topics were expounded.
Prof. Christian Schwarz showed detailed life cycle analysis of different electrified powertrains and highlighted that improved combustion engines can significantly contribute to a reduction of CO2 emissions. The use of e-fuels couples the production of electrical energy to the transport sector combines benefits like peak shaving in the energy grid with low-CO2 transport. Prof. Per Tunestål showed an outstanding presentation how combustion control can act as an enabler for clean combustion engines. Also the third keynote from Prof. Gregory Shaver focused on low emission engines, but more on the Diesel side. He showed very clearly that improved control methods could help to keep the exhaust aftertreatment system in the right temperature range.The dinner took place at the restaurant LivingRoom close to the historical city hall. University of Alberta | Activity | 2019-06-04 | Koch, C., Gordon, D., Masoud Aliramezani |
| Machine Learning and Deep Learning for Modeling and Control of Internal Combustion Engines | Publication | 2022-08-31 | Armin Norouzi Yengeje |
| Production engine emission sensor modeling for in-use measurement and on-board diagnostics | Publication | 2019-08-31 | Masoud Aliramezani |
| Realtime Machine Learning based In-Cycle Control of Homogeneous Charge Compression Ignition University of Alberta | Publication | 2023-03-02 | Gordon, D. |
| Characterization of the Exhaust Flow through the Diesel Oxidation Catalyst | Publication | 2018-01-01 | Giffin Symko |
| HCCI Modeling and Control Strategies Utilizing Water InjectionMSc Thesis University of Alberta | Publication | 2018-12-31 | Gordon, D. |
| Hydrogen-Diesel Dual Fuel Combustion Characterization for an Internal Combustion Engine | Publication | 2024-01-01 | Jakub Tyler McNally |
| Physics based in-cycle combustion model for real-time online emissions calculation on a prototype homogenous charge compression ignition (HCCI) enginePhysics based in-cycle combustion model for real-time online emissions calculation on a prototype homogenous charge compression ignition (HCCI) engine | Publication | 2020-11-11 | Gero Blomeyer |
| Industry Mixer Lightning PostersIndustry Mixer Lightning Posters
University of Alberta | Activity | 2020-02-20 | Masoud Aliramezani, Armin Norouzi Yengeje, Gordon, D., Koch, C. |
| Meet with collaboratorsMeet with Drs. Pischinger and Andert RWTH Aachen in Aachen and discuss on going collaboration. University of Alberta | Activity | 2018-06-05 | Koch, C. |
| A correlation-based model order reduction approach for a diesel engine NOx and brake mean effective pressure dynamic model using machine learning University of Alberta | Publication | 2021-07-01 | Armin Norouzi, Masoud Aliramezani, Koch, C. |
| A grey-box machine learning based model of an electrochemical gas sensor University of Alberta | Publication | 2020-10-01 | Masoud Aliramezani, Armin Norouzi, Koch, C. |
| A Variable-Potential Amperometric Hydrocarbon SensorUsing the understanding of an inexpensive production NOx sensor, the operating parameters are changed to enable hydrocarbon measurement using the same sensor. A limiting-current-type amperometric hydrocarbon sensor for rich conditions (in the absence of O2) is developed in this work. To do this, an inexpensive three-chamber amperometric sensor with three separate electrochemical cells is parameterized to measure propane concentration. The sensor is tested using a controlled sensor test rig at different propane concentrations. The inputs to the sensor electrochemical cells have been modified to determine the best HC measurement parameters (HCMPs) for measuring propane at different concentrations. First, the transient performance and stability of the sensor are optimized by changing the sensor temperature, the reference cell potential, and the stabilizing cell potential at a high propane concentration (5000 ppm - balanced with nitrogen). Over the range tested, the sensor has the longest stable output duration at the temperature of 1009 K, the reference cell potential of 0.67 V and the stabilizing cell potential of 0.45 V. Using these sensor inputs for sensor temperature, reference cell potential and stabilizing cell potential, the sensor steady state behavior is studied to find the diffusion-rate-determined operating region. The sensor is shown to have a linear sensitivity to propane concentration from 0 to 3200 ppm. Finally, the sensor response time to different step changes from 0 up to 5000 ppm propane concentration are studied. It is shown that propane stepsize does not have a significant effect on the sensor response time. Consequently, using the working principles of an existing production amperometric NOx sensor and changing the sensor operating parameters, an amperometric hydrocarbon sensor that works in diffusion rate determining operating region is developed. University of Alberta | Publication | 2019-01-01 | Masoud Aliramezani, Koch, C. |
| An electrochemical model of an amperometric NOx sensor University of Alberta | Publication | 2019-01-01 | Masoud Aliramezani, Koch, C. |
| Approximate moving horizon estimation for switching conservative linear infinite-dimensional systems University of Alberta | Publication | 2023-01-01 | Junyao Xie, Jukka-Pekka Humaloja, Koch, C., Stevan Dubljevic |
| Cold Climate Impact on Air-Pollution-Related Health Outcomes: A Scoping Review University of Alberta | Publication | 2022-01-01 | Osnat Wine, Alvaro Osornio Vargas, Sandra M Campbell, Hosseini, V., Koch, C., Shahbakhti, M. |
| Deep learning based model predictive control for compression ignition engines University of Alberta | Publication | 2022-10-01 | Armin Norouzi Yengeje, Saeid Shahpouri, Gordon, D., Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, Shahbakhti, M., Koch, C. |
| Development and experimental validation of a field programmable gate array–based in-cycle direct water injection control strategy for homogeneous charge compression ignition combustion stability University of Alberta | Publication | 2020-03-01 | Gordon, D., Christian Wouters, Maximilian Wick, Bastian Lehrheuer, Jakob Andert, Koch, C., Stefan Pischinger |
| Development and experimental validation of a real-time capable field programmable gate array\textendash based gas exchange model for negative valve overlap University of Alberta | Publication | 2018-07-01 | Gordon, D., Christian Wouters, Maximilian Wick, Feihong Xia, Bastian Lehrheuer, Jakob Andert, Koch, C., Stefan Pischinger |
| End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control University of Alberta | Publication | 2022-12-01 | Gordon, D., Armin Norouzi Yengeje, Alexander Winkler, Jakub Tyler McNally, Eugen Nuss, Dirk Abel, Shahbakhti, M., Jakob Andert, Koch, C. |
| Evaluation of ASTM D6424 standard for knock analysis using unleaded fuel candidates on a six cylinder aircraft engine University of Alberta | Publication | 2021-04-01 | Khashayar Ebrahimi, Gordon, D., Pervez Canteenwalla, Koch, C. |
| Homogeneous charge compression ignition combustion stability improvement using a rapid ignition system University of Alberta | Publication | 2020-06-01 | Gordon, D., Christian Wouters, Shota Kinoshita, Maximilian Wick, Bastian Lehrheuer, Jakob Andert, Stefan Pischinger, Koch, C. |
| Hybrid emission and combustion modeling of hydrogen fueled engines University of Alberta | Publication | 2023-01-01 | Saeid Shahpouri, Gordon, D., Christopher Hayduk, Reza Rezaei, Koch, C., Shahbakhti, M. |
| Hybrid Machine Learning Approaches and a Systematic Model Selection Process for Predicting Soot Emissions in Compression Ignition Engines University of Alberta | Publication | 2021-11-01 | Saeid Shahpouri, Armin Norouzi, Christopher Hayduk, Reza Rezaei, Shahbakhti, M., Koch, C. |
| In-cycle control for stabilization of homogeneous charge compression ignition combustion using direct water injectionHomogeneous charge compression ignition offers a high potential for the reduction of CO2 and NOx raw emissions; however, its use entails problems that are associated with low combustion stability, especially at the limits of the operating range. The recirculation of exhaust gases inside the combustion chamber by using a negative valve overlap leads to a strong coupling of consecutive cycles. The cyclic coupling induces phases of unstable operation after the occurrence of stochastic outlier cycles with misfire or incomplete combustion. These unstable phases are marked by reduced efficiency and increased emissions. Two in-cycle closed-loop control algorithms, which focus on the heat release in the intermediate compression, are presented in this article. To control the combustion process, direct water injection is used to ensure a direct influence on the temperature level in the combustion chamber; subsequently this influences combustion phasing. The decoupling of consecutive cycles serves to reduce deviations in the indicated mean effective pressure and crank angle position of 50% mass fraction burned. To develop a suitable controller, a first-order autoregressive model of homogeneous charge compression ignition combustion is split into intermediate compression and main combustion phases. Moreover, unstable sequences are analyzed in the time domain to identify appropriate in-cycle control concepts. The control concepts are developed based on the heat release in the intermediate compression as a strong correlation factor for consecutive cycles. To realize fast control interventions, a real-time cylinder pressure analysis as well as the control algorithms are implemented on a field-programmable gate array. The control algorithms are validated on a single-cylinder research engine and compared with conventional operation without in-cycle control. Results show a significant increase in the stability of combustion phasing and load by means of in-cycle control. University of Alberta | Publication | 2019-01-15 | Maximilian Wick, Julian Bedei, Jakob Andert, Gordon, D., Koch, C., Christian Wouters, Bastian Lehrheuer, Eugen Nuss |
| Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions University of Alberta | Publication | 2023-04-01 | Armin Norouzi Yengeje, Hamed Heidarifar, Hoseinali Borhan, Shahbakhti, M., Koch, C. |
| Journal of Aerosol Science Morphology and volatility of particulate matter emitted from a gasoline direct injection engine fuelled on gasoline and ethanol blends University of Alberta | Publication | 2018-04-23 | "Brian Graves", Koch, C., Olfert, J. |
| Laminar Flame Speed modeling for Low Carbon Fuels using methods of Machine Learning University of Alberta | Publication | 2023-02-01 | Saeid Shahpouri, Armin Norouzi Yengeje, Christopher Hayduk, Alexander Fandakov, Reza Rezaei, Koch, C., Shahbakhti, M. |
| Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines University of Alberta | Publication | 2022-01-01 | Armin Norouzi, Saeid Shahpouri, Gordon, D., Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, Shahbakhti, M., Koch, C. |
| Model Predictive Control of Internal Combustion Engines: A Review and Future Directions University of Alberta | Publication | 2021-10-01 | Armin Norouzi, Hamed Heidarifar, Shahbakhti, M., Koch, C., Hoseinali Borhan |
| Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions University of Alberta | Publication | 2022-01-01 | Masoud Aliramezani, Koch, C., Shahbakhti, M. |
| Phenomenological model of a solid electrolyte NOx and O2 sensor using temperature perturbation for on-board diagnosticsAbstract Amperometric \NOx\ sensors are increasingly used in automotive industry to meet the stringent emission measurement regulations. These sensors measure O2 and NOx concentration using two different sensing cells. In this work, a physics-based model was developed and then employed to predict the sensor output for oxygen as a function of sensor temperature and oxygen concentration. A temperature perturbation method was also developed based on the model to calibrate the sensor output with respect to oxygen concentration. The model accurately matched the experimental results for steady state and transient conditions. A two step sensor diagnostics procedure based on the sensor temperature perturbation method was then proposed. The first diagnostics step evaluates the sensor output to check if it is within the acceptable range. The second diagnosis step checks the plausibility of the sensor output based on the physics based model and temperature perturbation. A self-calibration procedure was also implemented inside the diagnostics procedure using temperature perturbation at engine-off. This self-recalibration only requires an external relative humidity measurement. University of Alberta | Publication | 2018-04-15 | Masoud Aliramezani, Koch, C., Ron Patrick |
| Safe deep reinforcement learning in diesel engine emission control University of Alberta | Publication | 2023-02-01 | Armin Norouzi Yengeje, Saeid Shahpouri, Gordon, D., Shahbakhti, M., Koch, C. |
| Support vector machine based emissions modeling using particle swarm optimization for homogeneous charge compression ignition engine University of Alberta | Publication | 2021-11-01 | Gordon, D., Armin Norouzi, Gero Blomeyer, Julian Bedei, Masoud Aliramezani, Jakob Andert, Koch, C. |
| D. Gordon 1 year in Aachen University of Alberta | Activity | 2019-04-14 | Gordon, D. |
