考虑制动意图的车辆制动力分配控制策略
Vehicle Braking Force Distribution Control Strategy Based on Braking Intention Recognition
DOI: 10.12677/MOS.2023.122125, PDF,   
作者: 孙洪涛：上海工程技术大学，机械与汽车工程学院，上海
关键词: 制动力分配；模糊控制；制动意图识别；车轴载荷；Braking Force Distribution； Fuzzy Control； Braking Intention Recognition； Axle Load
摘要: 针对车辆制动时因轴荷转移造成的前后车轮不同时抱死及舒适性不足的问题，提出了一种考虑制动意图识别的制动力分配控制策略。采用模糊控制器设计了一种七输入单输出的制动意图识别模型，为避免工程实际因素对制动器造成的制动力分配不均现象，依据识别结果提出了基于车轴载荷并通过前后车轮减速度与参考车速进行反馈修正的制动力分配控制策略。仿真结果表明，在不同路面附着条件下，所提出的策略均能满足制动力分配要求，保证车辆制动时的稳定性和舒适性。
Abstract: A braking force distribution control strategy considering braking intention recognition is proposed to address the problems of front and rear wheels not locking at the same time and lack of comfort caused by axle load transfer during vehicle braking. A seven-input, single-output braking intention recognition model is designed with a fuzzy controller. To avoid the uneven distribution of braking force caused by engineering practical factors, a braking force distribution control strategy based on axle load and feedback correction by front and rear wheel deceleration and reference vehicle speed is proposed based on the recognition results. The simulation results show that the proposed strat-egy can meet the braking force distribution requirements under different road surface adhesion conditions and ensure the stability and comfort of the vehicle when braking.
文章引用：孙洪涛. 考虑制动意图的车辆制动力分配控制策略[J]. 建模与仿真, 2023, 12(2): 1331-1343. https://doi.org/10.12677/MOS.2023.122125

参考文献

[1] Liu, H., Rui, H., Deng, W., et al. (2018) Research on a Novel Electro-Hydraulic Brake System and Pressure Control Strategy. SAE Technical Paper 2018-01-0764. [Google Scholar] [CrossRef] 
[2] Shi, Y., Li, B., Luo, J., et al. (2018) A Practical Identifier Design of Road Variations for Anti-Lock Brake System. International Journal of Ve-hicle Mechanics and Mobility, 57, 336-338. [Google Scholar] [CrossRef] 
[3] Kumar, C.N. and Subramanian, S.C. (2016) Cooperative Control of Regenerative Braking and Friction Braking for a Hybrid Electric Vehicle. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 230, 103-116. [Google Scholar] [CrossRef] 
[4] 陈志成, 吴坚, 赵健, 等. 混合线控制动系统制动力精确调节控制策略[J]. 汽车工程, 2018, 40(4): 457-464.
[5] 郑宏宇, 王琳琳, 赵伟强, 等. 基于电控制动系统的客车制动力分配控制策略[J]. 吉林大学学报(工学版), 2015, 45(2): 347-351.
[6] 郑宏宇, 王琳琳, 马申奥, 等. 基于载荷和滑移率的客车制动力分配控制算法[J]. 中国公路学报, 2015, 28(8): 120-126.
[7] 彭晓燕, 温开虎. 线控制动单轮失效下制动力优化分配控制策略[J].湖南大学学报(自然科学版), 2018, 45(10): 44-53.
[8] 陈佳瑶, 彭晓燕. 线控制动车辆弯道制动力优化分配控制策略[J]. 机械设计, 2020, 37(2): 1-9.
[9] Zheng, H.Y., Ma, S. and Liu, Y.J. (2018) Vehicle Braking Force Distribution with Electronic Pneumatic Braking and Hierarchical Structure for Commercial Vehicle. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 232, No. 4. [Google Scholar] [CrossRef] 
[10] 王骏骋, 何仁. 面向全制动工况的液压制动双环预测控制策略[J]. 吉林大学学报(工学版), 2020, 50(3): 820-833.
[11] 李小雨, 许男, 郭孔辉. 基于运动学方法和运动几何方法融合的质心侧偏角估计[J]. 机械工程学报, 2020, 56(2): 121-129.
[12] 何仁, 李梦琪. 基于路面识别的复合制动与ABS集成控制策略[J]. 江苏大学学报(自然科学版), 2020, 41(1): 20-26.
[13] 王震坡, 丁晓林, 张雷. 四轮轮毂电机驱动电动汽车驱动防滑控制关键技术综述[J]. 机械工程学报, 2019, 55(12): 99-120.

为你推荐