基于粒子群优化算法的汽车动力传动参数优化设计

An Optimal Design of Vehicle Power Transmission Parameters Based on Particle Swarm Optimization Algorithm

汽车动力传动参数的优化设计对汽车节能减排的重要指标动力性和燃油经济性的平衡起着重要作用。文章在对汽车动力传动系统进行一般性建模的基础上,利用粒子群优化算法进行了优化求解,并对其中的关键参数进行了对比分析。结果验证了方法的有效性,在下一步的研究中可以对算法的内在机制进行深入挖掘,对性能指标进行进一步提升优化,并对汽车动力的安全性进行重点考量。

The optimal design of vehicle power transmission parameters plays an important role in the balance between power performance and fuel economy,which are important indicators of vehicle energy conservation and emission reduction.Based on the general modeling of vehicle power transmission system,this paper uses particle swarm optimization algorithm to optimize and solve the problem,and the key parameters are compared and analyzed.The results verify the effectiveness of the method.In the next research,the internal mechanism of the algorithm can be deeply excavated,the performance indicators can be further improved and optimized,and the safety of vehicle power can be considered as a key factor.