Objective
Main objective of “Integrated gas powertrain (InGas)” Collaborative Project is to deploy a custom designed engine integrated with specific aftertreatment systems applied to a light duty vehicle able to achieve a 10% higher fuel conversion efficiency than that of a corresponding 2006 diesel vehicle and complying with an emission level lower than Euro 6. Additional features are advanced storage systems and vehicle architectures, as well as multi-grade fuel tolerance and fuel flexibility. To achieve the InGas targets, three main combustion technologies will be compared: Sub-Project A1 “CNG technologies for passenger cars” will develop a natural gas car powered by a 1.4 liter displacement engine using the sequential multi-point port gas injection and following the stoichiometric approach; Sub-Project A2 “Turbo DI CNG engine” will develop a natural gas car powered by a 1.8 liter displacement engine using the direct gas in-cylinder injection and following a lean burn approach; Sub-Project A3 “Boosted lean burn gas engine” will develop a natural gas light-duty vehicle powered by a 1.9 liter displacement engine using port gas injection or low pressure direct gas injection and following the ultra-lean combustion approach. Three main enabling technologies will be compared and assessed Sub-Project B0 “Fuels for advanced CNG engines” will define / supply the gas mixture of the requested quality, conduct analysis and propose solutions in order to affect in a flexible way storage, combustion, aftertreatment and performance of the CNG vehicles; Sub-Project B1 “Gas storage for passenger car CNG engine” will develop advanced gas storage and filling systems including specific components and gas sensors; Sub-Project B2 “Aftertreatment for passenger car CNG engine” will develop an aftertreatment system for natural gas vehicles having special regards to CH4 conversion efficiency and NOx abatement under stoichiometric and lean combustion operations.
Fields of science
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Call for proposal
FP7-SST-2007-RTD-1
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
10043 Orbassano
Italy
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Participants (29)
8020 Graz
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52078 Aachen
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45131 ESSEN
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70372 Stuttgart
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Participation ended
461 80 Trollhättan
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Participation ended
65428 Ruesselsheim
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92400 Courbevoie
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92500 Rueil Malmaison
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00185 Roma
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8010 Graz
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41330 Vihtavuori
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30165 Hannover
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80333 Munchen
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10129 Torino
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412 96 Goteborg
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2800 Kongens Lyngby
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52062 Aachen
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5200 BRUGG
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160 00 Praha
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34123 KASSEL
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8010 GRAZ
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12205 Berlin
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50-370 Wroclaw
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4940 BASCHARAGE
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70174 Stuttgart
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20133 Milano
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30239 Krakow
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4940 Bascharage
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65423 RUESSELSHEIM
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