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汽车安全与节能学报

汽车安全与节能学报 ›› 2025, Vol. 16 ›› Issue (4): 548-557.DOI: 10.3969/j.issn.1674-8484.2025.04.005

• 汽车安全 • 上一篇    下一篇

基于多目标优化的轻型商用车线控制动系统结构参数设计

张韬1(), 陈玉国1, 秦玉福2, 王言子3, 王阳2, 马瑞1   

  1. 1 东北林业大学 机电工程学院， 哈尔滨 150000， 中国
    2 东北林业大学 计算机与控制工程学院， 哈尔滨 150000， 中国
    3 锂能星空（天津）新能源科技有限公司， 天津 300456， 中国
  • 收稿日期:2024-11-17 修回日期:2025-05-20 出版日期:2025-08-30 发布日期:2025-08-27
  • 作者简介:张韬（1986—），男（汉），黑龙江，副教授。E-mail：sxh_00664@163.com。
    陈玉国（1993—），男（汉），安徽，硕士研究生。E-mail：chen_yuguo2022@163.com。

Structural parameter design of brake-by-wire system for light commercial vehicle based on multi-objective optimization

ZHANG Tao1(), CHEN Yuguo1, QIN Yufu2, WANG Yanzi3, WANG Yang2, MA Rui1   

  1. 1 College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150000, China
    2 School of Computer Science and Engineering, Northeast Forestry University, Harbin 150000, China
    3 Beijing Lithium Star New Energy Technology Co., Beijing 10-00, China
  • Received:2024-11-17 Revised:2025-05-20 Online:2025-08-30 Published:2025-08-27

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摘要：

为了满足轻型商用车制动需求，提出了一种基于多目标优化的线控制动（BBW）系统结构参数优化设计方法。该方法通过设计线控制动系统基本构型，建立制动力、传动效率和执行机构末端运动速度的优化目标函数及约束条件; 采用模糊层次分析法计算每个目标函数的权重，线性加权获得多目标综合优化函数。基于该综合优化函数，通过粒子群优化算法求解多目标函数最优值，得到线控制动系统结构优化参数，使线控制动系统结构综合性能达到最优。结果表明：参数优化设计后的线控制动系统制动力提升8.8%，执行机构末端运动速度提升12.5%，传动效率提升5.1%，该线控制动系统综合性能指标优化方法可提高系统制动能力和效率。

关键词: 线控制动（BBW）系统, 结构参数优化, 模糊层次分析法, 多目标粒子群优化

Abstract:

To meet the high-performance braking requirements of light commercial vehicles, an optimization design method for the structural parameters of the brake-by-wire (BBW) system based on multi-objective optimization was proposed. This method established the basic configuration of the wire-controlled motion system, formulated optimization objective functions and constraint conditions for braking force, transmission efficiency, and the end motion speed of the actuator. The weights of each objective function were calculated using the fuzzy analytic hierarchy process, and a multi-objective comprehensive optimization function was constructed through linear weighting. Based on this function, the particle swarm optimization algorithm was employed to solve for the optimal values of the multi-objective function, thereby determining the structural optimization parameters of the wire-controlled motion system. This ensured that the overall performance of the system reached its optimal state. The results indicate that following the parameter optimization design, the braking force of the BBW system increases by 8.8%, the end movement speed of the actuator improves by 12.5%, and the transmission efficiency rises by 5.1%. The proposed optimization method for the comprehensive performance index effectively enhances the braking capacity and operational efficiency of the BBW system.

Key words: brake-by-wire (BBW) system, structural parameter optimization, fuzzy analytic hierarchy process, multi-objective particle swarm optimization

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