摘要
为提高优化整车传动系统参数的效果,提出一种基于自适应蝗虫优化算法(Adaptive Grasshopper Optimization Algorithm,AGOA)的整车传动系统参数优化新方法。AGOA在蝗虫优化算法(Grasshopper Optimization Algorithm,GOA)的基础上,引入余弦自适应策略,对调控系数线性递减的方式进行了调整,实现了算法全局和局部搜索能力的平衡,增强了算法的寻优能力。以机械式传动系统为例,在建立整车传动系统参数的优化模型的基础上,进行了参数的AGOA优化。结果表明,基于AGOA优化参数后,油耗和连续换挡加速时间降低,最高车速得到提升。
In order to improve the optimization effect of vehicle transmission system parameters, a new method based on adaptive grasshopper optimization algorithm(AGOA) for vehicle transmission system parameters optimization was proposed. Based on the research of grasshopper optimization algorithm(GOA), AGOA was established by introducing the cosine adaptive strategy. Using this method, the linear decline mode of the regulation coefficient was adjusted, the balance between the global and local search abilities of the algorithm was realized and the search ability of the algorithm was enhanced. Taking the mechanical transmission system of a vehicle as an example, the AGOA optimization of the parameters was carried out on the basis of the optimization model of the vehicle transmission system parameters. The results show that the fuel consumption and continuous gear shift acceleration time were reduced, and the maximum speed was improved after the parameters were optimized by AGOA.
作者
李建兴
崔胜民
LI Jianxing;CUI Shengmin(Ningbo City Vocational College of Technology,Ningbo 315100,Zhejiang,China;School of Automotive Engineering,Harbin University of Technology,Weihai 264209,Shandong,China)
出处
《噪声与振动控制》
CSCD
北大核心
2023年第1期185-190,共6页
Noise and Vibration Control
基金
浙江省教育科学规划课题资助项目(2019SCG083)。
关键词
振动与波
蝗虫优化算法
余弦自适应
传动系统
参数优化
vibration and wave
grasshopper optimization algorithm
cosine adaptive
transmission system
parameters optimization
