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Grant: Alliance Grants

University of Windsor

$340,000.00

High-efficiency clean combustion engine innovations towards US 2026/EU7 emission regulations and beyond

EF 2024-25

Résumé
Canada's target is to reduce greenhouse gas (GHG) emissions by 40~45% below 2005 levels by 2030 and to net-zero GHG emissions by 2050. To meet US 2026 and EU 7 emission regulations also, this collaborative research project is to maximize energy efficiency towards low-carbon propulsion with ultra-low pollutant emissions, which require further decrease in both GHG and air pollutant emissions. The proposed research will help Ford and policy makers to lower the transition barrier of decarbonization of engines. Intelligent ignition control strategies will be developed, together with innovative injection strategy and combustion schemes, to realize clean and highly efficient combustion process under both steady-state and transient operation conditions. The proposed research include four main objectives: 1) To improve engine efficiency with ultra low tailpipe emissions via advanced propulsion technologies, including in-cylinder combustion strategy and advanced after-treatment systems. 2) To perform a fundamental study on ignition mechanisms of low temperature plasma and on-demand ignition energy scheduling in ultra lean/diluted mixtures; explore the efficacy of advanced ignition strategies under various injection strategies and in-cylinder flow control. 3) To study low temperature flame detection mechanisms for prompt and smart combustion diagnostics. 4) To develop an intelligent ignition control algorithm in ECU for enhancing the efficacy and durability of the ignition system, enabling clean and efficient combustion with in-cycle closed loop control. With the adaptation of renewable fuels to lower carbon footprint, 40% GHG emission reduction goal is feasible for 2030 target. Benefits expected to engineering disciplines include: a) Development of fuel efficient and clean automotive engines for vehicle downsizing and powertrain hybridization; b) Advanced knowledge of ignition mechanisms for intelligent ignition strategies of adapting various fuels, c)Applicable diagnostic tools to detect and estimate the burning status under excessive lean/diluted conditions for high efficiency.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
570896-2021
Name nom
Zheng, Ming M
Department département
Mechanical, Automotive and Materials Engineering
Organization id
37
Institution établissement
University of Windsor
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2021
Award amount
340000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
306
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy efficiency
Area of application fr
Efficacité énergétique
Research subject code
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
High-efficiency clean combustion engine innovations towards US 2026/EU7 emission regulations and beyond
Keywords
adaptive ignition; clean propulsion technologies; diagnostics and smart control; emission control; flexible fuel management; high efficiency engine; injection control; renewable fuel; sustainable energy; system design
Application summary
Canada's target is to reduce greenhouse gas (GHG) emissions by 40~45% below 2005 levels by 2030 and to net-zero GHG emissions by 2050. To meet US 2026 and EU 7 emission regulations also, this collaborative research project is to maximize energy efficiency towards low-carbon propulsion with ultra-low pollutant emissions, which require further decrease in both GHG and air pollutant emissions. The proposed research will help Ford and policy makers to lower the transition barrier of decarbonization of engines. Intelligent ignition control strategies will be developed, together with innovative injection strategy and combustion schemes, to realize clean and highly efficient combustion process under both steady-state and transient operation conditions. The proposed research include four main objectives: 1) To improve engine efficiency with ultra low tailpipe emissions via advanced propulsion technologies, including in-cylinder combustion strategy and advanced after-treatment systems. 2) To perform a fundamental study on ignition mechanisms of low temperature plasma and on-demand ignition energy scheduling in ultra lean/diluted mixtures; explore the efficacy of advanced ignition strategies under various injection strategies and in-cylinder flow control. 3) To study low temperature flame detection mechanisms for prompt and smart combustion diagnostics. 4) To develop an intelligent ignition control algorithm in ECU for enhancing the efficacy and durability of the ignition system, enabling clean and efficient combustion with in-cycle closed loop control. With the adaptation of renewable fuels to lower carbon footprint, 40% GHG emission reduction goal is feasible for 2030 target. Benefits expected to engineering disciplines include: a) Development of fuel efficient and clean automotive engines for vehicle downsizing and powertrain hybridization; b) Advanced knowledge of ignition mechanisms for intelligent ignition strategies of adapting various fuels, c)Applicable diagnostic tools to detect and estimate the burning status under excessive lean/diluted conditions for high efficiency.