Optimization of the Calibration for an Internal Combustion Engine Management System Using Multi-Objective Genetic Algorithms

Author(s):  
G.R. Vossoughi ◽  
S. Rezazadeh
2016 ◽  
Vol 68 (1) ◽  
pp. 86-91 ◽  
Author(s):  
Jun Sun ◽  
Lei Shu ◽  
Xianhao Song ◽  
Guangsheng Liu ◽  
Feng Xu ◽  
...  

Purpose – This paper aims to use the crankshaft-bearing system of a four-cylinder internal combustion engine as the studying object, and develop a multi-objective optimization design of the crankshaft-bearing. In the current optimization design of engine crankshaft-bearing, only the crankshaft-bearing was considered as the studying object. However, the corresponding relations of major structure dimensions exist between the crankshaft and the crankshaft-bearing in internal combustion engine, and there are the interaction effects between the crankshaft and the crankshaft-bearing during the operation of internal combustion engine. Design/methodology/approach – The crankshaft mass and the total frictional power loss of crankshaft-bearing s are selected as the objective functions in the optimization design of crankshaft-bearing. The Particle Swarm Optimization algorithm based on the idea of decreasing strategy of inertia weight with the exponential type is used in the optimization calculation. Findings – The total frictional power loss of crankshaft-bearing and the crankshaft mass are decreased, respectively, by 26.2 and 5.3 per cent by the multi-objective optimization design of crankshaft-bearing, which are more reasonable than the ones of single-objective optimization design in which only the crankshaft-bearing is considered as the studying object. Originality/value – The crankshaft-bearing system of a four-cylinder internal combustion engine is taken as the studying object, and the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system is developed. The results of this paper are helpful to the design of the crankshaft-bearing for engine. There is universal significance to research the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system. The research method of the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system can be used to the optimization design of the bearing in the shaft-bearing system of ordinary machinery.


2020 ◽  
Vol 216 ◽  
pp. 112930
Author(s):  
Germano Menzel ◽  
Stephan Hennings Och ◽  
Viviana Cocco Mariani ◽  
Luís Mauro Moura ◽  
Eric Domingues

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