摘要
拖拉机驱动电机的结构参数设计目标较多,约束条件较为复杂,采用传统的经验方法和单目标优化方法难以进行整体结构参数的优化。为此,提出了一种基于改进非支配排序遗传算法(NSGA-Ⅱ)的电动拖拉机驱动电机多目标优化方法,可根据电机本身固有特性与工作条件进行约束,并基于NSGA-Ⅱ算法对驱动电机的热损失和驱动系统的总效率进行优化设计,得到驱动电机的最佳能量利用效率和传动系统的最佳机械传动效率。试验结果表明:与对照组相比,提出的多目标优化方法可以显著提高拖拉机系统的整体效率,多目标优化设计方案的驱动系统总效率η_(q)的最大值和额定值与以η_(me)为单一目标的优化设计方案相比分别提高了2%和1.4%,与以η_(tr)为单一目标的优化设计方案相比分别提高了26.5%和73.6%。研究结果为后续电动拖拉机驱动系统的研发提供了理论基础与技术支撑。
The structural parameters of the tractor drive motor are designed with more objectives and more complex constraints,and it is difficult to optimize the overall structural parameters using traditional empirical methods and single-objective optimization methods.To address the above problems,this study proposes a multi-objective optimization method for electric tractor drive motor based on improved non-dominated ranking genetic algorithm(NSGA-Ⅱ),which is constrained according to the inherent characteristics of the motor itself and the operating conditions,and optimizes the design of the heat loss of the drive motor and the total efficiency of the drive system based on the NSGA-Ⅱ algorithm to obtain the best energy utilization efficiency of the drive motor and The optimal mechanical transmission efficiency of the drive system is obtained.The experimental results show that the multi-objective optimization method proposed in this study can significantly improve the overall efficiency of the tractor system compared with the control group,and the maximum and rated values of the total efficiency of the drive systemηq for the multi-objective optimized design scheme.improved by 2%and 1.4%,respectively,compared with the optimized design scheme withηme as a single objective,and by 26.5%and 73.6%,respectively,compared with the optimized design scheme withη_(tr) as a single objective.The research results provide the theoretical basis and technical support for the subsequent development of electric tractor drive system.
作者
陈高丽
Chen Gaoli(Zhengzhou University of Industrial Technology,Zhengzhou 451100,China)
出处
《农机化研究》
北大核心
2023年第10期250-255,共6页
Journal of Agricultural Mechanization Research
基金
郑州地方高校急(特)需专业立项建设项目(郑教明电【2019】495号)
河南省科技攻关项目(222102210155,222102210194)
教育部高等教育司2021年第一批产学合作协同育人项目(202102256015)。
关键词
电动拖拉机
驱动电机
优化求解
electric tractor
drive motor
optimization solution
