• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2016, Vol. 52 ›› Issue (24): 107-114.doi: 10.3901/JME.2016.24.107

• 运载工程 • 上一篇    下一篇

基于驾驶意图的插电式混合动力公交车控制策略*

高建平1, 赵金宝1, 杨松2, 郗建国1   

  1. 1. 河南科技大学车辆与交通工程学院 洛阳 471003;
    2. 新乡学院 新乡 453003
  • 出版日期:2016-12-15 发布日期:2016-12-15
  • 作者简介:

    高建平,男,1976年出生,副教授。主要研究方向为新能源汽车技术。

    E-mail:gjpcar@gmail.com

    赵金宝(通信作者),男,1986年出生,硕士研究生。主要研究方向为新能源汽车整车控制。

    E-mail:jinbao1314@126.com

  • 基金资助:
    * 河南省重点科技攻关计划(152102210073)和河南省高等学校青年骨干教师资助计划(2015GGJS-046)资助项目; 20151202收到初稿,20160725收到修改稿;

Control Strategy of Plug-in Hybrid Electric Bus Based on Driver Intention

GAO Jianping1, ZHAO Jinbao1, YANG Song2, XI Jianguo1   

  1. 1. Vehicle & Transportation College, Henan University of Science & Technology, Luoyang 471003
    , 2. Xinxiang University, Xinxiang 453003
  • Online:2016-12-15 Published:2016-12-15

摘要:

为了充分挖掘插电式混合动力公交车(Plug-in hybrid electric bus, PHEB)的节油潜力、增强车辆对不同类型驾驶员的自适应性,在基于规则类的控制策略基础上,增加驾驶员意图识别模型。对驾驶风格及加速意图进行模糊识别,通过驾驶员在环的半实物仿真验证了识别模型,以驾驶风格和加速意图识别结果为输入,建立转矩修正系数k的模糊控制器,反模糊化输出k值,对需求转矩进行修正。用system test工具将模糊控制器生成对应的模糊查询表。仿真及试验结果表明:有驾驶员意图识别控制策略较无驾驶员意图识别控制策略更加适应PHEB的运营、用电机制且燃油经济性进一步提高了1.8%。

关键词: 控制策略, 模糊控制, 意图识别, 插电式混合动力公交车

Abstract:

In order to fully explore plug-in hybrid electric bus (PHEB) fuel saving potential, enhance the adaptability of different types of vehicle driver, the model of driver’s intention recognition is increased base on the control strategy of rules. To fuzzy recognition of driving style and accelerating intention built the identification model which is proved by the semi physical simulation of driver in the loop. The torque correction coefficientk of the fuzzy recognizer, what the input of the results of the driving style and accelerated intention, is established, and thenk is got though defuzzificating and modifying the demand torque. The fuzzy query table is generated correspondingly using test system tool. The simulation and experiment results show that the control strategy of driver’s intention is more suitable for the operation and electric mechanism of PHEB, fuel economy is improved by 1.8%.

Key words: control strategy, fuzzy logic control, intention recognition, plug-in hybrid electric bus