应用混合遗传算法的车辆发动机工作参数优化设计  

Design Optimization on Automobile Engine in Hybrid Genetic Algorithm

作　　者：吴朝阳[1] 苏俊[1] 席平原[2] 

机构地区：[1]南通大学机械电工学院,南通210094 [2]淮海工学院机械系,连云港222005

出　　处：《科学技术与工程》2009年第19期5722-5725,共4页Science Technology and Engineering

摘　　要：发动机的基本参数反映了发动机的工作性能和品质。针对设计任务的要求正确选择这些参数,才能保证所设计的新产品有生命力。因此,采用优化设计方法来设计车辆发动机工作参数是非常重要的。在满足气缸热负荷、机械负荷和燃烧室及混合气形成条件,以及边界约束的条件下,建立了优化设计数学模型。由于传统的优化方法存在着求解过程复杂和寻优过程容易陷入局部最优解的问题,故应用遗传算法工具箱调用混合遗传算法和局部搜索算法相结合寻求最优解,使求解过程得到简化,确保可靠地获得全局最优解。The structure and size of engine can affect the dynamic and economic of automobile greatly, therefore it is very important to adopt optimization methods to design the automobile engine. Being satisfied with the heating loading, mechanical loading and the conditions of gas mixture of engine and boundary constraints, the optimization mathematical model is created which is to minimize the heating surface area of engine. Considering the problem of low efficiency and local optimum caused by traditional optimal methods, the hybrid genetic algorithm are adopted to solve the optimization model. So that the optimization process is simplified and global optimum is acquired reliably.

关 键 词：车辆发动机 混合遗传算法 优化设计 

分 类 号：U464.122[机械工程—车辆工程]