Spark Timing Optimization through Co-Simulation Analysis in a Spark Ignition Engine

被引:0
|
作者
Arsie, Ivan [1 ]
Frasci, Emmanuele [1 ,2 ]
Irimescu, Adrian [2 ]
Merola, Simona Silvia [2 ]
机构
[1] Univ Naples Parthenope, Ctr Direzionale Isola C4, Dept Engn, I-80143 Naples, Italy
[2] Italian Natl Res Council STEMS, Via G Marconi 4, I-80124 Naples, Italy
关键词
Spark Ignition engine; 1-D engine modeling; engine control; spark timing optimization; MATLAB/GT-Power co-simulation analysis; INTERNAL-COMBUSTION ENGINES; SIMPLEX-METHOD; SI ENGINES; HYDROGEN; FUEL; EMISSIONS; PERFORMANCE; ETHANOL; MODEL; END;
D O I
10.3390/en17153695
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The automotive industry is experiencing radical changes under the pressure of institutions that are increasingly reducing the limits on CO2 and pollutant emissions from road vehicles powered by internal combustion engines (ICEs). A way to decarbonize the transport sector without disrupting current automotive production is the adoption of alternative fuels for internal combustion engines (ICEs). Hydrogen is very attractive, thanks to the zero-carbon content and very high laminar flame speed, allowing for extending the lean burn limit. Other alternative fuels are methanol and ethanol. This work deals with the conversion of a small-sized passenger car powered by a three-cylinder spark ignition (SI) engine for the use of alternative fuels. In particular, the spark timing has been optimized to improve the fuel economy under every operating condition. The optimization procedure is based on the MATLAB/Simulink (R) R2024a-GT-Power co-simulation analysis and minimizes the fuel consumption by varying the spark timing independently for each cylinder. In particular, at full load, the algorithm reduces the spark timing only for the cylinder in which knock is detected, reducing fuel consumption by about 2% compared to the base calibration. This approach will be adopted in future activities to understand how the use of alternative fuels affects the ignition control strategy.
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页数:19
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