For the performance deterioration of diesel engine operation in plateau environment, the grey wolf algorithm(GWO) was used to cooptimize the regulatedturbocharging and injection parameters, and the optimal parameter combinations that satisfied the state constraints of diesel engine were obtained. A simulation model of V-type 8-cylinder regulated two-stage turbocharging diesel engine was established, and the sample data under different input parameters were used to train the neural network and the optimization-oriented neural network MLP model was acquired. The optimal combinations of high-pressure and low-pressure stage turbine bypass valve openings and cyclic injection mass at different speeds were obtained by the grey wolf algorithm. Under the condition of 4 000 m altitude(ambient pressure 57.6 kPa), the powers of 2 000 r/min maximum torque point and 3 000 r/min maximum speed point could reach 94.88% and 77.42% of the plain environment through increasing the fuel consumption by 5.73% and 5.90%, respectively.
TIAN Yu
,
ZHANG Fujun
,
CUI Tao
,
BA Jiandong
. Optimization of High-Altitude Fuel Injection and Turbocharging Parameters for Diesel Engine Based on Grey Wolf Algorithm[J]. Vehicle Engine, 2023
, 0(6)
: 54
-60
.
DOI: 1001-2222.2023.06.008
