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Research on Test Design of Dynamic Performance and Multi-Objective Optimization of Gasoline Engines |
DOI:10.13949/j.cnki.nrjgc.2022.06.011 |
Key Words:gasoline engine computational fluid dynamics design of experiment (DOE) genetic algorithm multi-objective optimization |
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Abstract:In order to solve the actual problem of poor power performance of a high-speed gasoline engine at low and medium speed conditions, the one-dimensional model and the three-dimensional model were established. The power performance of the high-speed gasoline engine at low and medium speed conditions was calculated and analyzed, and the optimized parameters were determined. On this basis, design of experiment(DOE) method was used to analyze the multiple factors’ influence on engine power performance. The genetic algorithm was used to optimize the power performance of the original engine. The calculation results showed that the torque and power of the gasoline engine were improved by more than 10% at the target speed condition, and the power performance was greatly improved at the medium and low speed conditions. At last the prototype test was done based on the calculation results. The test results showed that the torque and power increased by 29.7% and 28.1% respectively at 5 000 r/min speed condition. Compared with the original prototype machine, the power performance at low-speed condition has largely improved, and the problem of the poor power performance of original engine at low-speed conditions has been solved. |
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