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Kinetic Mechanical Engineering, 2022, 3(4); doi: 10.38007/KME.2022.030407.

Internal Combustion Engine Based on Particle Swarm Optimization Algorithm


Xubin Qi

Corresponding Author:
Xubin Qi

Xishan Coal Power (Group) Co., LTD, Railway Company, China


Today, the development of the automobile market is still very rapid, the prospect is still very bright. However, with the increasing number of cars, it also brings the shortage of oil resources, air pollution and other problems. Therefore, to improve the economic performance of vehicles and improve their emission performance has become the goal of major auto manufacturers. This paper mainly studies the application of internal combustion engine engineering based on particle swarm optimization algorithm. Firstly, this paper takes ADVISOR as the model building platform and combines Simulink to build different modules. Then the application of particle swarm optimization algorithm in internal combustion engine engineering is optimized, and two configuration schemes are obtained by using particle swarm optimization algorithm. The economic comparison of different configuration schemes verifies the necessity and superiority of typical driving conditions in the study of optimal configuration.


Particle Swarm Optimization, Internal Combustion Engine, Engineering Applications, Fuel Consumption Optimization

Cite This Paper

Xubin Qi. Internal Combustion Engine Based on Particle Swarm Optimization Algorithm. Kinetic Mechanical Engineering (2022), Vol. 3, Issue 4: 54-62. https://doi.org/10.38007/KME.2022.030407.


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