基于实际工况的插电式混合动力公交车参数自适应控制策略研究

高建平 1; 2; 孙中博 1; 张磊敏 1; 郗建国 1

doi:10.7652/xjtuxb201707019

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基于实际工况的插电式混合动力公交车参数自适应控制策略研究

更新时间：2025-07-09

- 基于实际工况的插电式混合动力公交车参数自适应控制策略研究
- Plug-in Hybrid Electric Bus Variable Parameter Control Strategy Considering Influence of Driving Cycle
- 西安交通大学学报 2017年51卷第7期页码：130-139
- 作者机构：
  
  1. 河南科技大学车辆与交通工程学院,河南,洛阳,471003
  2. 河南科技大学机械装备先进制造河南省协同创新中心,河南,洛阳,471003
- 作者简介：
- 基金信息：
  
  : 2016-11-09。作者简介: 高建平(1976—),男,副教授。基金项目:国家自然科学基金资助项目(U1604147);河南省重点科技攻关计划资助项目(152102210073)
- DOI：10.7652/xjtuxb201707019
  中图分类号： U469.7
- 网络首发：2017-07-10，
  
  纸质出版：2017
- 稿件说明：
移动端阅览
高建平 1, 2, 孙中博 1, 等. 基于实际工况的插电式混合动力公交车参数自适应控制策略研究[J]. 西安交通大学学报, 2017,51(7):130-139.

Plug-in Hybrid Electric Bus Variable Parameter Control Strategy Considering Influence of Driving Cycle[J]. 2017, 51(7): 130-139.
高建平 1, 2, 孙中博 1, 等. 基于实际工况的插电式混合动力公交车参数自适应控制策略研究[J]. 西安交通大学学报, 2017,51(7):130-139. DOI： 10.7652/xjtuxb201707019.

Plug-in Hybrid Electric Bus Variable Parameter Control Strategy Considering Influence of Driving Cycle[J]. 2017, 51(7): 130-139. DOI： 10.7652/xjtuxb201707019.

摘要

为充分挖掘插电式混合动力公交车的节油潜力

提出了一种基于工况影响的变参数控制策略

从而实现了整车功率的合理分配。采集20辆公交车的行驶数据、利用短行程分析法

拟合出某城市公交车的拥堵、市区、市郊及综合这4类工况

同时利用组合优化算法优化了相同行驶里程下4类工况的整车控制策略的关键参数

选择性地建立了识别数据库并嵌入到基于综合工况优化后的定参数控制策略中

进而形成依据欧氏距离和贴近度准则的实时判别当前工况类型并自动调用该类工况最优控制参数的变参数控制策略。研究结果表明:较定参数控制策略

相同实验工况下变参数控制策略的整车综合油耗降低5.12%; 通过引入快速控制原型测试得出

综合工况下变参数控制策略的整车综合油耗降低4.9%

验证了变参数控制策略的可行性。

Abstract

To fully tap the fuel saving potential of city plug-in hybrid buses

a variable parameter control strategy according to the influence of driving cycle is proposed to achieve the reasonable distribution of vehicle power. The traffic data of 20 buses are collected and the congestion driving cycle

urban driving cycle

suburban driving cycle and comprehensive driving cycle of the urban buses are fitted with short-stroke analysis method. The vehicle control strategy key parameters of the four driving cycles in the same driving range are optimized with combinatorial optimization algorithm. The selected first three sets construct an identification database which is embedded into the fixed parameter control strategy based on the comprehensive driving cycle optimization. Euclidean distance and proximity criterion are used to judge the type of the current driving cycle in real time and automatically call the variable parameter control strategy of the optimal control parameter. The results show that in the same experimental driving cycle

the integrated fuel consumption of vehicle reduces by 5.12% compared with the fixed parameter control strategy. The rapid control pattern test indicates that the integrated fuel consumption of vehicle in comprehensive driving cycle reduces by 4.9% compared with the fixed parameter control strategy.

关键词

Keywords

references

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