Since the advent of the internal combustion engine, knock
has been
a vital issue limiting the thermal efficiency of spark ignition engines
under heavy load conditions. The occurrence of knock is also directly
influenced by several operating parameters simultaneously. In order
to investigate the effects of multiple variables on economic performance
and power performance under knock limits, this study adopts single-objective
optimization and multi-objective optimization methods to optimize
the engine operating parameters, including exhaust gas recirculation
rate, exhaust valve timing, spark timing, and intake valve timing.
The optimization aims to obtain maximum volumetric efficiency, brake
mean effective pressure, and minimum brake specific fuel consumption
on the knock limit. First, based on the bench test data at the operation
point 2800 rpm and 11.42 bar, a one-dimensional simulation engine
model is established in GT-power software and verified. Second, four
engine operating parameters are input into the GT-power model as controlled
parameters. The epsilon-constrained differential evolution algorithm
and the multi-objective differential evolution algorithm are employed
to optimize the above four parameters to minimize the knock index
and the damage to engine performance due to knock suppression, respectively.
Finally, the results show that the two optimization algorithms optimize
four parameters. The results of the epsilon-constrained differential
evolution algorithm indicate that the decreasing extent of the knock
index is 73.3%. In addition, the decreasing extent of brake mean effective
pressure is 10.2%. What is more, the increased brake specific fuel
consumption is only 0.07%. The multi-objective differential evolution
algorithm gives a set of nondominated Pareto optimal solution sets.
The optimal solution has a 64.4% decrease in the knock index, a 5.78%
decrease in brake mean effective pressure, and a 1.45% decrease in
brake specific fuel consumption.