Improved energy utilization in heavy-duty automatic transmission: Advanced modeling and multi-objective optimization

被引:0
|
作者
Ouyang, Tiancheng [1 ,2 ]
Jin, Song [1 ]
Lu, Yucai [1 ]
Peng, Weijie [1 ]
Li, Yanzhou [1 ]
机构
[1] Guangxi Univ, Sch Mech Engn, Nanning, Peoples R China
[2] Southeast Univ, Sch Mech Engn, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Automatic transmission; Resistant factors; Genetic algorithm; Energy distribution; SOLENOID VALVE; CLUTCH; DESIGN; VEHICLE; SYSTEM; SHIFT; POWER;
D O I
10.1016/j.energy.2024.131933
中图分类号
O414.1 [热力学];
学科分类号
摘要
In the current research of electro-hydraulic actuators for heavy-duty automatic transmissions, achieving accurate output is proven to be insufficient to meet growing demand. Aiming at this deficiency, this paper proposes a dynamic model, which combines detailed loss analysis and multi-objective optimization to further improve energy efficiency. Firstly, considering the key resistance factors, including viscous damping coefficient, spring constant and supply pressure, a dynamic model is established. Subsequently, the overall response of the model is verified based on the existing experimental data. In addition, the accuracy and stability time are used as evaluation indexes to analyze the influence of resistance on the function pattern. Finally, a multi-objective optimization method is used to balance the relationship between energy utilization efficiency, accuracy and shift quality. The slight changes in mechanical energy and stable time lead to a significant decrease in jerk by 22.11 %, which makes the shifting process smoother and effectively improves the shifting performance.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Multi-objective Power Flow Hierarchic Optimization for the Electro-Mechanical Transmission of a Heavy-Duty Vehicle
    Zhang Donghao
    Xiang Changle
    Han Lijin
    Zheng Hailiang
    2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
  • [2] Multi-objective optimization of heavy-duty diesel engines under stationary conditions
    Desantes, JM
    Benajes, JV
    Molina, SA
    Hernández, L
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2005, 219 (D1) : 77 - 87
  • [3] Multi-objective Optimization of Heavy-duty Bionic Leg Structure Based on Approximate Model
    Chen W.
    Tan X.
    Yang K.
    Liu X.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2023, 50 (06): : 80 - 89
  • [4] A robust multi-objective routing problem for heavy-duty electric trucks with uncertain energy consumption
    Amiri, Afsane
    Zolfagharinia, Hossein
    Amin, Saman Hassanzadeh
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 178
  • [5] Multi-objective optimization design of a heavy-duty folding mechanism and Self-discharging equipment development
    Huang, Juan
    Li, Chongxiang
    Long, Huang
    Yin, Lairong
    Wen, Bo
    Wang, Jinhang
    MECHANICS & INDUSTRY, 2023, 24
  • [6] Multi-objective optimization of IGV position in a heavy-duty gas turbine on part-load performance
    Mehrpanahi, A.
    Payganeh, G. H.
    APPLIED THERMAL ENGINEERING, 2017, 125 : 1478 - 1489
  • [7] Heavy-Duty Truck Predictive Energy-Efficient Cruise Control with Dynamic Multi-Objective Weights
    Lei, Yuyang
    Song, Kang
    Xie, Hui
    Lv, Dongxuan
    IFAC PAPERSONLINE, 2024, 58 (29): : 391 - 396
  • [8] Flow force analysis and optimization of lock valve for heavy-duty automatic transmission
    Wu, Huaichao
    Peng, Zhao
    Mu, Junqi
    Zhao, Limei
    Yang, Lv
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2022, 47 (01) : 62 - 73
  • [9] Logic design method and optimization of hydraulic system for heavy-duty automatic transmission
    Wu, Huaichao
    Dong, Yong
    Cao, Gang
    Zhao, Limei
    Yang, Lv
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2023, 47 (01) : 143 - 153
  • [10] Allison's new heavy-duty automatic transmission
    Off-Highway Engineering, 2000, 8 (01):