Combined Gearbox Transmission Ratio Optimization Research Based on Hybrid Particle Swarm

doi:10.16182/j.issn1004731x.joss.19-0655

Abstract

Abstract: Aiming at the difficulty to obtain the optimal solution for the transmission ratio distribution of combined transmission, an optimization method for the transmission ratio of the combined multi-speed transmission based on the hybrid particle swarm optimization algorithm is proposed. Based on the multi-objective particle swarm algorithm, a leader population with a self-renewal mechanism is introduced to form a hybrid particle swarm algorithm. A multi-objective optimization model is established by taking the transmission ratio of each stage of single-speed transmission as a variable, combining the transmission chain layout, taking the driving power loss rate, specific fuel consumption loss rate, etc. as the optimization objective and the theoretical vehicle speed as the constraints. The optimization results are compared with those of the NSGA-Ⅱand MOPSO algorithm. The results show that the hybrid particle swarm optimization algorithm can reduce the driving power loss rate by 17.47% and the specific fuel consumption loss rate by 35.12%, which has good application value.

Key words: combined gearbox, transmission ratio optimization, hybrid particle swarm optimization algorithm, multi-objective optimization

CLC Number:

TP202

Wang Runhong, Wang Hongjun, Zou Xiangjun, Zeng Zeqin, Li Hui, Huang Zhaofeng, Liu WeiLiang. Combined Gearbox Transmission Ratio Optimization Research Based on Hybrid Particle Swarm[J]. Journal of System Simulation, 2021, 33(4): 825-836.

References

[1] Chen X, Wu L, Yin J, et al.Robust H Infinity Control Design of an Electromagnetic Actuated Active Suspension Considering the Structure Non-linearity[J]. Proceedings of the Institution of Mechanical Engineers Part D-journal of Automobile Engineering (S0954-4070), 2019, 233(4): 1008-1022.
[2] 许世维, 贺伊琳, 刘伟, 等. 纯电动中型客车传动系参数的模型在环优化[J]. 合肥工业大学学报(自然科学版), 2017, 40(4): 453-460.
Xu Shiwei, He Yilin, Liu Wei, et al.Optimization with Model in Loop for Middle-size Electric Bus Drive-train Parameters[J]. Journal of Hefei University of Technology (Natural Science), 2017, 40(4): 453-460.
[3] 黄康, 王强, 邱明明, 等. 考虑模式切换频率的多模式混合动力汽车参数优化[J]. 西安交通大学学报, 2019, 53(7): 99-107.
Huang Kang, Wang Qiang, Qiu Mingming, et al.Parameter Optimization of Multi-Mode Hybrid Vehicle Considering Mode-Switching Frequency[J]. Journal of Xi'an Jiaotong University, 2019, 53(7): 99-107.
[4] Yu J, Xu Y, Liu K.Planetary Gear Fault Diagnosis Using Stacked Denoising Autoencoder and Gated Recurrent Unit Neural Network Under Noisy Environment and Time-varying Rotational Speed Conditions[J]. Measurement Science and Technology (S1361-6501), 2019, 30(9): 95003.
[5] Bhattacharjee D, Bhola P, Dan P K.A Heuristic Synthesis of Multistage Planetary Gearbox Layout for Automotive Transmission[J]. Proceedings of the Institution of Mechanical Engineers Part K-journal of Multi-Body Dynamics (S1464-4193), 2019, 233(2): 336-347.
[6] 高建平, 乔宏冰, 葛坚, 等. 混合动力汽车多参数自动优化平台开发[J]. 中国农机化学报, 2015, 36(5): 207-211.
Gao Jianping, Qiao Hongbing, Ge Jian, et al.Development of Multi-parameter Automatic Optimization Platform for Hybrid Electric Vehicle[J]. Journal of Chinese Agricultural Mechanization, 2015, 36(5): 207-211.
[7] Zhang Q, Sun D, Qin D.Optimal Parameters Design Method for Power Reflux Hydro-Mechanical Transmission System[J]. Proceedings of the Institution of Mechanical Engineers Part D-journal of Automobile Engineering (S0954-4070), 2019, 233(3): 585-594.
[8] 傅生辉, 李臻, 杜岳峰, 等. 基于改进NSGA-Ⅱ算法的拖拉机传动系统匹配优化[J]. 农业机械学报, 2018, 49(11): 349-357.
Fu Shenghui, Li Zhen, Du Yuefeng, et al.Matching Optimization for Tractor Powertrain Based on Improved NSGA-ⅡAlgorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(11): 349-357.
[9] Fofana A, Haas O, Ersanilli V, et al.Multi-Objective Genetic Algorithm for an Automatic Transmission Gear Shift Map[J]. IFAC-PapersOnLine, 2016, 49(3): 123-128.
[10] Kan Y, Sun D, Luo Y, et al.Optimal Design of Power Matching for Wheel Loader Based on Power Reflux Hydraulic Transmission System[J]. Mechanism and Machine Theory, 2019, 137: 67-82.
[11] 郭谨玮, 刘昱, 徐月云, 等. 应用多目标粒子群算法的车辆传动系参数优化仿真研究[J]. 机械科学与技术, 2018, 37(4): 629-634.
Guo Jinwei, Liu Yu, Xu Yueyun, et al.Parameter Optimization and Simulation System of Vehicle Transmission System Using Multi-objective Particle Swarm Optimization Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(4): 629-634.
[12] 潘鑫. 基于智能算法的纯电动客车动力系统参数匹配与研究[D]. 济南: 山东大学, 2016.
Pan Xin.Powertrain Parameters Matching and Reseach for Electric Bus based on Intelligent Algorrithm[D]. Jinan: Shandong University, 2016.
[13] 王少杰, 侯亮, 方奕凯, 等. 考虑产品运行大数据的装载机变速箱优化设计[J]. 机械工程学报, 2018, 54(22): 218-232.
Wang Shaojie, Hou Liang, Fang Yikai, et al.Optimization Design of Wheel Loader Gearbox Considering Product Operational Big Data.[J]. Journal of Mechanical Engineering, 2018, 54(22): 218-232.
[14] 王粉粉. 拖拉机电控机械式自动变速系统设计研究[D]. 洛阳: 河南科技大学, 2014.
Wang Fenfen.Study on the Design for Automated Mechanical Transmission System of Tractor[D]. Luoyang: Henan University of Science and Technology, 2014.
[15] Wang F, Torbati M M, Ma X, et al.Design of Near-Periodic Struts for Helicopter Gearbox Vibration Isolation Using Multicell Optimization[J]. AIAA Journal (S1533-385X), 2019, 57(6): 2634-2647.
[16] Su C, Liu Y.Multi-objective Imperfect Preventive Maintenance Optimisation with NSGA-II[J]. International Journal of Production Research (S1366-588X), 2019, 58(13): 1-17.
[17] 罗陆锋, 邹湘军, 卢清华, 等. 采摘机器人作业行为虚拟仿真与样机试验[J]. 农业机械学报, 2018, 49(5): 34-42.
Luo Lufeng, Zou Xiangjun, Lu Qinghua, et al.Virtual Simulation and Prototype Test for Behavior of Robot in Picking Process[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(5): 34-42.
[18] 罗陆锋, 邹湘军, 杨洲, 等. 基于改进人工蜂群模糊聚类的葡萄图像快速分割方法[J]. 农业机械学报, 2015, 46(3): 23-28.
Luo Lufeng, Zou Xiangjun, Yang Zhou, et al.Grape Image Fast Segmentation Based on Improved Artificial Bee Colony and Fuzzy Clustering[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(3): 23-28.
[19] 彭红星, 邹湘军, 陈琰, 等. 基于演化算法的水果图像分割[J]. 农业工程学报, 2014, 30(18): 294-301.
Peng Hongxing, Zou Xiangjun, Chen Yan, et al.Fruit Image Segmentation based on Evolutionary Algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(18): 294-301
[20] 邹湘军, 李静, 孙权, 等. 采摘机械手虚拟设计与仿真系统的研究[J]. 系统仿真学报, 2010, 22(11): 2748-2752.
Zou Xiangjun, Li Jing, Sun Quan, et al.Research on Picking Manipulator Virtual Design and Simulation System[J]. Journal of System Simulation, 2010, 22(11): 2748-2752.
[21] Cao X, Zou X, Jia C, et al.RRT-based Path Planning for an Intelligent Litchi-Picking Manipulator[J]. Computers and Electronics in Agriculture (S0168-1699), 2019, 156: 105-118.
[22] Wang X, Ma L, Wang T.An Optimized Nearest Prototype Classifier for Power Plant Fault Diagnosis Using Hybrid Particle Swarm Optimization Algorithm[J]. International Journal of Electrical Power & Energy Systems(S0142-0615), 2014, 58: 257-265.
[23] 钱林. 高速齿轮箱性能监测与故障诊断系统研究[D]. 南京: 南京农业大学, 2016.
Qian Lin.Reseach on the Performance Monitoring and Fault Diagnosis System of High-Speed Gearbox[D]. Nanjing: Nanjing Agricultural College, 2016.
[24] 李志华, 朱卉, 潘月. 混合粒子群算法优化BPNN在模拟电路故障诊断中的应用[J]. 控制工程, 2014, 21(3): 450-454.
Li Zhihua, Zhu Hui, Pan Yue.The Application of Genetic Algorithm Particle Swarm Optimization Algorithm Optimize the BPNN in Analog Circuit Fault Diagnosis[J]. Control Engineering of China, 2014, 21(3): 450-454.
[25] 李云峰. 混合粒子群算法优化支持向量机电路故障诊断[D]. 长沙: 湖南大学, 2018.
Li Yunfeng.Circuit Fault Diagnosis Algorithm based on Hybrid Particle Swarm Optimization Algorithm if Support Vector Machine[D]. Changsha: Hunan University, 2018.
[26] 张淑清, 黄文静, 胡永涛, 等. 基于总体平均经验模式分解近似熵和混合PSO-BP算法的轴承故障诊断方法[J]. 中国机械工程, 2016, 27(22): 3048-3054.
Zhang Shuqing, Huang Wenjing, Hu Yongtao, et al.Bearing Fault Diagnosis Method Based on EEMD Approximate Entropy and Hybrid PSO-BP Algorithm[J]. China Mechanical Engineering, 2016, 27(22): 3048-3054.
[27] Wu X, Bai W, Xie Y, et al.A Hybrid Algorithm of Particle Swarm Optimization, Metropolis Criterion and RTS Smoother for Path Planning of UAVs[J]. Applied Soft Computing(S1568-4946), 2018, 73: 735-747.
[28] 宫孟孟. 基于神经网络的移动机器人路径规划方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2017.
Gong Mengmeng.Research on Path Planning Method of Mobile Robot based on Neural Network[D]. Harbin: Harbin Institute of Technology, 2017.
[29] 孔垂超, 田景文, 高美娟. 军用补给舰船路径规划改进混合算法[J]. 计算机工程与应用, 2015, 51(1): 243-249.
Kong Chuichao, Tian Jingwen, Gao Meijuan.Improved Hybrid Algorithm of Military Replenishment Ships Pathplanning[J]. Computer Engineering and Applications, 2015, 51(1): 243-249.
[30] Xu L, Wang J, Li Y, et al.Resource Allocation Algorithm based on Hybrid Particle Swarm Optimization for Multiuser Cognitive OFDM Network[J]. Expert Systems with Applications (S0957-4174), 2015, 42(20): 7186-7194.
[31] Hamdi M, Zaied M.Resource Allocation Based on Hybrid Genetic Algorithm and Particle Swarm Optimization for D2D Multicast Communications[J]. Applied Soft Comp Uting (S1568-4946), 2019, 83: 105605.
[32] 衣杨, 李强, 容福丽, 等. 时间窗口约束资源配置的混合粒子群算法[J]. 计算机研究与发展, 2008, 45(增l): 233-238.
Yi Yang, Li Qiang, Rong Fuli, et al.A Hybrid Particle Swarm for Time Window Constraint Resource Allocation[J]. Journal of Computer Research and Development, 2008, 45(S1): 233-238.
[33] 余志生. 汽车理论[M]. 北京: 机械工业出版社, 2018.
Yu Zhisheng.Automobile Theory[M]. Beijing: Machinery Industry Press, 2018.
[34] 周志立, 方在华. 拖拉机机组牵引动力学[M]. 北京: 科学出版社, 2010.
Zhou Zhili, Fang Zaihua.Traction Dynamics of Tractor Units[M]. Beijing: Science Press, 2010.
[35] 雷德明, 严新平. 多目标智能优化算法及其应用[M]. 北京: 科学出版社, 2009.
Redmin, Yan Xinping.Multi-objective Intelligent Optimization Algorithm and Application[M]. Beijing: Science Press, 2009.
[36] 杨斌. 多目标优化理论研究与应用[M]. 长春: 吉林大学出版社, 2017.
Yang Bin.Research and Application of Multi-objective Optimization Theory[M]. Changchun: Jilin University Press, 2017.
[37] Schott J R.Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization[D]. USA: Massachusetts Institute of Technology, 1995.