引用本文:申永鹏,王耀南,孟步敏,李会仙,袁小芳.基于多目标优化模型的电动汽车增程器油耗及排放优化[J].控制理论与应用,2015,32(5):631~640.[点击复制]
SHEN Yong-peng,WANG Yao-nan,MENG Bu-min,LI Hui-xian,YUAN Xiao-fang.Optimization of fuel consumption and emissions of auxiliary power unit based on multi-objective optimization model[J].Control Theory and Technology,2015,32(5):631~640.[点击复制]
基于多目标优化模型的电动汽车增程器油耗及排放优化
Optimization of fuel consumption and emissions of auxiliary power unit based on multi-objective optimization model
摘要点击 3233  全文点击 1190  投稿时间：2014-09-09  修订日期：2014-11-10
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DOI编号  10.7641/CTA.2015.40839
  2015,32(5):631-640
中文关键词  电动汽车  增程器  油耗  排放  多目标粒子群算法
英文关键词  electric vehicle  auxiliary power unit  fuel consumption  emissions  multi-objective particle swarm optimization
基金项目  国家“863”计划资助项目(2012AA111004), 国家自然科学基金项目(61104088)资助.
作者单位E-mail
申永鹏* 湖南大学 电气与信息工程学院 shenyongpeng@hnu.edu.cn 
王耀南 湖南大学 电气与信息工程学院  
孟步敏 湖南大学 电气与信息工程学院  
李会仙 宇通客车技术研究院  
袁小芳 湖南大学 电气与信息工程学院  
中文摘要
      针对增程式电动汽车油耗和排放优化问题, 首先综合考虑增程器的油--电转换效率特性、HC排放特性、CO 排放特性以及NOx排放特性, 构造了增程器油耗和排放多目标优化模型, 同时结合实际增程器工作中的机械和电气 约束特征, 分析了多目标优化模型的3种转速、转矩约束条件. 然后采用多目标粒子群算法和加权尺度法对增程器 油耗和排放多目标优化模型进行了离线优化, 得出了增程器的最优全局工作点和各功率值下的多目标最优工作曲 线. 最后, 采用NEDC, FTP和HWFET3种测试工况在AVL Puma Open发动机测试台架上进行了实验, 并和基于最佳 制动燃油消耗率(BSFC)的油耗单目标优化模型进行了比较. 结果表明, 本文提出的方法能够以微弱的油耗增加为 代价, 有效的改善整车的HC, CO和NOx排放.
英文摘要
      To deal with the fuel consumption and emissions optimization problem of the range extender electric vehicle, we build a multi-objective optimization model (MOPM) for the auxiliary power unit (APU) fuel consumption and emissions, in which the APU characteristics of the fuel-electricity conversion efficiency, HC emissions, CO emissions and NOx emissions are all considered. Meanwhile, three kinds of APU speed and torque constraints of the MOPM are analyzed according to the features of mechanical and electrical limits on real-world APU operation. Then, the multi-objective particle swarm optimization (MOPSO) algorithm and weighted metric decision method are employed to solve the MOPM. The APU global optimal operating point and multi-objective optimal operating curve under specific power are obtained consequently. Finally, experiments are carried out on AVL Puma Open engine test bench under NEDC, FTP and HWFET driving cycles. Compared with the results of the traditional brake specific fuel consumption (BSFC) based fuel consumption single objective optimization model, we find that the proposed multi-objective optimization model improves HC, CO and NOx emissions for all of the three tested driving cycles at the expense of a small increment in fuel consumption.