基于工况影响的插电式混合动力汽车控制策略优化

中国机械工程

基于工况影响的插电式混合动力汽车控制策略优化

高建平1;张磊敏1;孙中博2;郗建国1

1.河南科技大学车辆与交通工程学院，洛阳，471003
2.郑州意昂电控科技有限公司，郑州，450000

出版日期:2017-08-10 发布日期:2017-08-07
基金资助:
国家自然科学基金资助项目（U1604147）;
河南省科技攻关计划资助项目(152102210073);
河南省高等学校青年骨干教师资助计划资助项目(2015GGJS-046)
National Natural Science Foundation of China （No. U1604147）

Control Strategy Optimization of Plug-in Hybrid Electric Vehicle Based on Driving Cycles

GAO Jianping1;ZHANG Leimin1;SUN Zhongbo2;XI Jianguo1

1.Vehicle & Transportation Engineering Institute, Henan University of Science and Technology, Luoyang, Henan,471003
2.EonControls Co., Ltd., Zhengzhou,450000

Online:2017-08-10 Published:2017-08-07
Supported by:
National Natural Science Foundation of China （No. U1604147）

摘要/Abstract

摘要： 根据其城市公交车的运营线路、运行类型及线路覆盖区域，选取20条代表性公交线路上对应的20辆公交车，采集一个月的行驶数据，利用短行程分析法结合主成分分析及优化的K均值聚类算法实现各片段的合理分类，从而拟合出反映这一城市公交车运行特点的行驶工况。利用AVL-Cruise整车仿真平台验证该工况合成的有效性和必要性，同时引入Isight优化平台实现针对该城市公交车整车控制策略关键参数的优化标定。结果表明，控制参数优化后整车综合油耗降低8.7%，与RCP测试的仿真结果相对误差仅为2%，验证了优化后的控制策略的有效性。

关键词: 主成分分析, 组合优化算法, K均值聚类算法, 行驶工况, Isight优化平台

Abstract: According to the operation types and operation line, the city bus coverage area, 20 representative bus lines on the 20 bus driving data acquisition for a month were selected, a reasonable classification analysis method combined with the K mean clustering algorithm of principal component analysis and optimization of the implementation of each segment of the short stroke, thus the driving cycle that reflects the running characteristics of the city bus was fitted. The effectiveness and necessity of the Isight simulation platform was verified by the AVL-Cruise simulation platform, and the optimization of the key parameters of the vehicle control strategy for the city bus was introduced. The results show that the overall fuel consumptions of the vehicles are reduced by 8.7% and the relative errors of the simulation results with the RCP tests are only 2%, which verifies the effectiveness of the optimized control strategy.

Key words: principal component analysis, combinatorial optimization algorithm, K mean clustering algorithm, driving cycle, Isight optimization platform

中图分类号:

U469.7

高建平1;张磊敏1;孙中博2;郗建国1. 基于工况影响的插电式混合动力汽车控制策略优化[J]. 中国机械工程.

GAO Jianping1;ZHANG Leimin1;SUN Zhongbo2;XI Jianguo1. Control Strategy Optimization of Plug-in Hybrid Electric Vehicle Based on Driving Cycles[J]. China Mechanical Engineering.

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