Tool for qualitative performance comparison of internal combustion engines components using optimized engine calibration and condition monitoring
Tool for qualitative performance comparison of internal combustion engines components using optimized engine calibration and condition monitoring
批准号:
522411-2017
负责人:
Habibi, Saeid
金额:
$2.37万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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英文摘要
Modern Internal Combustion Engines (ICEs) rely on complex control systems and engine maps in order to achieve higher fuel efficiencies while meeting stringent regulatory emissions standards. Given the economies of scale of the automotive sector, manufacturers strive to improve their engine technologies and even very small improvements in performance are considered. To adopt a new technology, techniques that can discern a measurable difference in the engine's performance are required to quantify the potential benefits of new components. NanoSpark, a Canadian start-up company, has developed an innovative spark ignition system for use in ICEs, believed to have a performance benefit. McMaster has in turn developed a method that can provide a qualitative and a quantitative comparison of components for ICEs. Our proposed technique uses conventional engine mapping in conjunction with multi-objective optimization in order to generate Pareto fronts that can be used for trade-off analysis. The comparison of Pareto fronts for existing and new components will enable us to quantify potential benefits or short-comings of new technologies across different operating ranges. This method will be used for quantifying the potential benefits of the NanoSpark spark plug and for analyzing its performance. The standard engine calibration tests will be used to provide a validation of the performance improvements indicated by the Pareto analysis. It is also necessary to verify the performance of the spark plug over time and to determine the impact of the new technology on other engine components. Traditionally this is evaluated by long duration testing under high engine stress. The McMaster research team has developed a number of signal-based condition monitoring strategies that could be used to reduce the amount of testing required for wear and impact analysis. Related to this analysis, it should be noted that many gasoline engines are now being equipped with direct injection fuel system, with a negative effect on the working life of the spark plug. As the NanoSpark technologies is expected to overcome this limitation, it is an ideal candidate for evaluating our signal-based condition monitoring methodology for this new application. **********
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Advanced integrated Control and Monitoring of Actuation Systems
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批准号:RGPIN-2020-05735
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.84万
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财政年份:2022
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负责人:Habibi, Saeid
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依托单位:
Maximizing Information Extraction in Smart Condition Monitoring Systems
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批准号:CRC-2020-00127
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项目类别:Canada Research Chairs
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资助金额:$14.57万
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财政年份:2022
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负责人:Habibi, Saeid
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依托单位:
Advanced integrated Control and Monitoring of Actuation Systems
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批准号:RGPIN-2020-05735
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.84万
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财政年份:2021
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负责人:Habibi, Saeid
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依托单位:
Maximizing Information Extraction In Smart Condition Monitoring Systems
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批准号:CRC-2020-00127
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项目类别:Canada Research Chairs
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资助金额:$14.57万
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财政年份:2021
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负责人:Habibi, Saeid
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依托单位:
Condition monitoring and testing of powertrain elements
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批准号:549016-2019
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项目类别:Alliance Grants
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资助金额:$11.49万
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财政年份:2021
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负责人:Habibi, Saeid
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依托单位:
Hybrid Electric Vehicle Powertrain Design and Development
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批准号:482038-2016
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项目类别:Collaborative Research and Training Experience
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资助金额:$21.86万
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财政年份:2021
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负责人:Habibi, Saeid
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依托单位:
Tool for qualitative performance comparison of internal combustion engines components using optimized engine calibration and condition monitoring
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批准号:522411-2017
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项目类别:Collaborative Research and Development Grants
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资助金额:$5.46万
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财政年份:2020
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负责人:Habibi, Saeid
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依托单位:
Condition monitoring and testing of powertrain elements
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批准号:549016-2019
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项目类别:Alliance Grants
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资助金额:$14.04万
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财政年份:2020
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负责人:Habibi, Saeid
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依托单位:
Advanced integrated Control and Monitoring of Actuation Systems
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批准号:RGPIN-2020-05735
-
项目类别:Discovery Grants Program - Individual
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资助金额:$2.84万
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财政年份:2020
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负责人:Habibi, Saeid
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依托单位:
Maximizing Information Extraction in Smart Condition Monitoring Systems
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批准号:1000233074-2019
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项目类别:Canada Research Chairs
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资助金额:$3.64万
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财政年份:2020
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负责人:Habibi, Saeid
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依托单位:
NSERC / Ford Canada Industrial Research Chair in Hybrid/Electric Vehicle (HEV) Powertrain Diagnostics
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批准号:411833-2015
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项目类别:Industrial Research Chairs
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资助金额:$7.52万
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财政年份:2020
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负责人:Habibi, Saeid
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依托单位:
Hybrid Electric Vehicle Powertrain Design and Development
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批准号:482038-2016
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项目类别:Collaborative Research and Training Experience
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资助金额:$21.86万
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财政年份:2020
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负责人:Habibi, Saeid
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依托单位:
NSERC / Ford Canada Industrial Research Chair in Hybrid/Electric Vehicle (HEV) Powertrain Diagnostics
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批准号:411833-2015
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项目类别:Industrial Research Chairs
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资助金额:$10.78万
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财政年份:2019
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负责人:Habibi, Saeid
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依托单位:
Advanced Control of Dual Redundant Electro-Hydrostatic Actuator
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批准号:RGPIN-2015-04895
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.48万
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财政年份:2019
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负责人:Habibi, Saeid
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依托单位:
Hybrid Electric Vehicle Powertrain Design and Development
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批准号:482038-2016
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项目类别:Collaborative Research and Training Experience
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资助金额:$21.86万
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财政年份:2019
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负责人:Habibi, Saeid
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依托单位:
Electric Powertrain Component Testing
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批准号:RTI-2020-00740
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项目类别:Research Tools and Instruments
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资助金额:$10.93万
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财政年份:2019
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负责人:Habibi, Saeid
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依托单位:
Tool for qualitative performance comparison of internal combustion engines components using optimized engine calibration and condition monitoring
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批准号:522411-2017
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项目类别:Collaborative Research and Development Grants
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资助金额:$6.16万
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财政年份:2019
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负责人:Habibi, Saeid
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依托单位:
Condition monitoring of powertrain components in electrified vehicles
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批准号:453085-2013
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项目类别:Automotive Partnership Canada Project
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资助金额:$9.47万
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财政年份:2018
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负责人:Habibi, Saeid
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依托单位:
Hybrid Electric Vehicle Powertrain Design and Development
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批准号:482038-2016
-
项目类别:Collaborative Research and Training Experience
-
资助金额:$21.86万
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财政年份:2018
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负责人:Habibi, Saeid
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依托单位:
Fault detection and diagnosis (FDD) system for end of production line testing of alternators
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批准号:486107-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$7.63万
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财政年份:2018
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负责人:Habibi, Saeid
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依托单位:
海外基金