Based on the bench test data, an approximate highprecision model of fuel injection parameters and performance during transient process for a diesel engine applied in engineering field was established by using response surface method. Then genetic algorithm was used to optimize injection parameters offline. Finally, the best optimized values of brake specific fuel consumption(BSFC), NOxand PM emission by single objective methods were 180.23 g/(kW·h), 8.92 g/(kW·h) and 0.011 8 g/(kW·h), which decreased by 4.5%, 34.0% and 37.3% respectively. Pareto solution of double objective optimization showed that BSFC and PM emission were easier to optimize simultaneously comparing with BSFC and NOx emission.Triple objective optimization results of BSFC, NOxand PM emission based on the fitness function of weight factor were 184.70 g/(kW·h),12.62 g/(kW·h) and 0.012 2 g/(kW·h), which decreased by 2.1%, 6.6% and 35.3% respectively. With improved optimization model, the correspondent BSFC and PM emission of Pareto solutions for performance optimization were close to limit values of single objective optimization, but NOx emissionwas still high.
LOU Diming
,
ZHAO Chengzhi
,
YU Huayang
,
TAN Piqiang
,
HU Zhiyuan
. Optimization of Injection Parameters for Diesel Engine during Transient Process Based on Response Surface Method and Genetic Algorithm[J]. Vehicle Engine, 2017
, 0(2)
: 45
-50
.
DOI: 10.3969/j.issn.1001-2222.2017.02.008
