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The current research is based on a high-speed gasoline engine. The influence of intake pipe structural parameters and valve timing on engine’s performance was analysed by establishing thermodynamic model through software GT-Power. Full factorial experimental design was adopted and moving least squares method to establish response surface model at the full-load speed of 5500 r/min. Multi-objective optimization is carried out with genetic algorithm to solve Pareto frontier curve of economic and dynamic performance. The optimization effect by simulation was verified afterwards. The optimization can serve as guidance to determine valve timing of the fully variable valve and intake pipe. Optimization method proposed to this paper provides control parameters and theoretical basis for fully variable valve and intake pipe, reduces experimental workload and improves development efficiency.

Multi-objective Optimization of Intake Pipe and Valve Timing Based on Improved NSGA-II