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基于制动驾驶意图辨识的纯电动客车复合制动控制策略

赵轩 马建 汪贵平

赵轩, 马建, 汪贵平. 基于制动驾驶意图辨识的纯电动客车复合制动控制策略[J]. 交通运输工程学报, 2014, 14(4): 64-75.
引用本文: 赵轩, 马建, 汪贵平. 基于制动驾驶意图辨识的纯电动客车复合制动控制策略[J]. 交通运输工程学报, 2014, 14(4): 64-75.
ZHAO Xuan, MA Jian, WANG Gui-ping. Composite braking control strategy of pure electric bus based on brake driving intention recognition[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 64-75.
Citation: ZHAO Xuan, MA Jian, WANG Gui-ping. Composite braking control strategy of pure electric bus based on brake driving intention recognition[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 64-75.

基于制动驾驶意图辨识的纯电动客车复合制动控制策略

基金项目: 

国家863计划项目 2012AA111106

国家自然科学基金项目 51207012

中央高校基本科研业务费专项资金项目 2013G1221027

中央高校基本科研业务费专项资金项目 2013G3322009

中央高校基本科研业务费专项资金项目 2013G3222004

中央高校基本科研业务费专项资金项目 2013G3224020

详细信息
    作者简介:

    赵轩(1983-), 男, 陕西汉中人, 长安大学工程师, 工学博士, 从事电动汽车控制技术研究

  • 中图分类号: U461.3

Composite braking control strategy of pure electric bus based on brake driving intention recognition

More Information
  • 摘要: 为了研究纯电动客车复合制动系统制动力分配比例, 提出了基于制动驾驶意图辨识的复合制动控制策略。基于隐形马尔科夫理论建立了双层制动驾驶意图辨识模型, 运用道路试验数据对模型进行辨识验证。基于辨识出的驾驶意图和车速, 以前后轮制动力分配比例、ECE法规、电机特性、滑移率、蓄电池特性、超级电容特性与传动系统特性为约束条件, 制定了复合制动系统制动力分配策略, 在9种工况下, 应用Simulink对复合制动系统进行建模仿真。仿真结果表明: 应用基于制动驾驶意图的纯电动客车复合制动控制策略后, 在各种工况下, 摩擦制动系统和电机再生制动系统能够协调稳定地工作, 在保证制动安全性的前提下最大限度地回收了制动能量。低车速轻微制动时能量回收效率最高, 可达到43.84%。高车速紧急制动时能量回收效率最低, 仅为0.89%。

     

  • 图  1  制动驾驶意图LHMM结构

    Figure  1.  LHMM structure of brake driving intention

    图  2  LHMM结构训练过程

    Figure  2.  LHMM structure training process

    图  3  驾驶操作行为数据采集过程

    Figure  3.  Collection process of driving behavior data

    图  4  紧急制动操作行为与正常制动操作行为门限值

    Figure  4.  Emergency and normal braking operation behavior thresholds

    图  5  轻微制动操作行为与正常制动操作行为门限值

    Figure  5.  Slight and normal braking operation behavior thresholds

    图  6  驾驶行为辨识结果

    Figure  6.  Recognition result of driving behaviors

    图  7  驾驶意图辨识结果

    Figure  7.  Recognition result of driving intentions

    图  8  控制器结构

    Figure  8.  Controller structure

    图  9  控制策略流程

    Figure  9.  Control strategy process

    图  10  复合制动系统结构

    Figure  10.  Composite braking system structure

    图  11  纯电动客车复合制动系统仿真模型

    Figure  11.  Simulation model of composite braking system for pure eletric bus

    图  12  高速紧急制动时需求制动力分配曲线

    Figure  12.  Demanding braking force distribution curves at high-speed emergency brake

    图  13  高速紧急制动时实际制动力分配曲线

    Figure  13.  Actual braking force distribution curves at high-speed emergency brake

    图  14  高速紧急制动时制动强度曲线

    Figure  14.  4 Braking strength curves at high-speed emergency brake

    图  15  高速紧急制动时车速与轮速曲线

    Figure  15.  Vehicle speed and wheel speed curves at high-speed emergency brake

    图  16  高速紧急制动时蓄电池与超级电容SOC曲线

    Figure  16.  SOC curves of battery and super capacitor at high-speed emergency brake

    图  17  中等车速轻微制动时需求制动力分配曲线

    Figure  17.  Demanding braking force distribution curves at middle-speed slight brake

    图  18  中等车速轻微制动时实际制动力分配曲线

    Figure  18.  Actual braking force distribution curves at middle-speed slight brake

    图  19  中等车速轻微制动时制动强度曲线

    Figure  19.  Braking strength curves at middle-speed slight brake

    图  20  中等车速轻微制动时车速与轮速曲线

    Figure  20.  Vehicle speed and wheel speed curves at middle-speed slight brake

    图  21  中等车速轻微制动时蓄电池与超级电容SOC曲线

    Figure  21.  SOC curves of battery and super capacitor at middle-speed slight brake

    表  1  逻辑规则

    Table  1.   Logic rules

    下载: 导出CSV

    表  2  仿真结果

    Table  2.   Simulation result

    下载: 导出CSV
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出版历程
  • 收稿日期:  2014-05-11
  • 刊出日期:  2014-08-25

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