串联式混合动力拖拉机分动箱的设计与试验  

Design and test of the gearbox in the tandem hybrid power tractor

作　　者：周润东 鲁植雄[1] 邓晓亭[1] 侯辛奋 ZHOU Rundong;LU Zhixiong;DENG Xiaoting;HOU Xinfen(College of Engineering,Nanjing Agricultural University,Nanjing,Jiangsu 210031,China;SAIC Datong Automobile Ltd,Shanghai,200438,China)

机构地区：[1]南京农业大学工学院,江苏南京210031 [2]上汽大通汽车有限公司,上海200438

出　　处：《湖南农业大学学报（自然科学版）》2020年第1期107-112,共6页Journal of Hunan Agricultural University(Natural Sciences)

基　　金：国家重点研发计划项目(2016YFD0701103)

摘　　要：设计的串联式混合动力分动箱由输入轴、中间轴、输出轴以及轴上齿轮和一对滑移齿轮组成。为减小分动箱体积,同时满足配套旋耕机较大耕深需求,在满足结构、强度、刚度等约束条件下,以分动箱总中心距和齿轮总体积最小为目标函数,建立了分动箱参数优化的数学模型。采用基于改进粒子群算法(PSO)的参数优化策略,优化结果表明,与基本粒子群算法相比,改进后的粒子群算法在收敛速度和收敛精度方面均有明显提高,改进后的齿轮总体积减小了2.9%,优化精度提高了1.5%。分动箱运动学仿真及试验结果表明,优化后的分动箱动力输出轴(PTO)动力性能符合要求,能够满足配套旋耕机的工作要求。The designed tandem hybrid power box is composed of the input shaft,the intermediate shaft,the output shaft,the shaft gear and a pair of slip gear.In order to reduce the volume of the serial hybrid tractor divider box and meet the larger tillage requirement of the supporting rotary tiller,the mathematical model of the gearbox parameter optimization was established by taking the minimum total center distance and the total volume of the gear box as the objective function under the constraint conditions of the structure,the strength and the stiffness.A parameter optimization strategy(PSO)is adopted based on the improved particle swarm optimization algorithm.The optimization results show that compared with the basic particle swarm optimization algorithm,the improved particle swarm optimization algorithm significantly improves the convergence speed and convergence accuracy,with the improved gear volume reduced by 2.9%and the optimization accuracy increased by 1.5%.The kinematic simulation and test results of the gearbox show that the PTO dynamic performance of the optimized gearbox meets the requirements of the power and the working requirements of the supporting rotary tiller.

关 键 词：混合动力拖拉机 分动箱体积 数学模型 改进粒子群算法 动力性能 

分 类 号：S219.89[农业科学—农业机械化工程] S220.2[农业科学—农业工程]