| 基于多指标正交实验的并联混合动力汽车控制策略参数分析 |
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| 引用本文： | 杨观赐,李少波,唐向红,璩晶磊,钟勇. 基于多指标正交实验的并联混合动力汽车控制策略参数分析[J]. 计算机应用, 2012, 32(11): 3047-3053. DOI: 10.3724/SP.J.1087.2012.03047 |
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| 作者姓名： | 杨观赐 李少波 唐向红 璩晶磊 钟勇 |
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| 作者单位： | 1. 教育部现代制造技术重点实验室(贵州大学),贵阳 5500032. 中国科学院 成都计算机应用研究所,成都 6100413. 中国科学院 成都计算机应用研究所, 成都6100414. 中国科学院 成都计算机应用研究所, 成都 610041 |
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| 基金项目： | 教育部新世纪优秀人才支持计划项目(NCET09-0094);国家科技支撑计划项目(2012BAF12B14);贵州省科学技术基金资助项目(黔科合J字[2010]2095号,[2011]2196号);贵州大学人才引进基金资助项目([2010]001号) |
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| 摘 要： | 针对并联式混合动力汽车电辅助控制策略的参数优化问题，基于多指标正交优化设计理论，以混合动力汽车的燃油消耗、CO排放量、HC和NOx的总排放量为实验指标，设计了正交优化实验表。运用直观分析法分析了18组实验结果，量化研究了控制策略参数对并联式混合动力汽车整车性能的影响，找出了各个指标的显著性影响因素。
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| 关 键 词： | 正交实验 混合动力汽车 多目标进化算法 控制策略 |
| 收稿时间： | 2012-05-04 |
| 修稿时间： | 2012-06-25 |
Control strategy parameter analysis of parallel hybrid electric vehicles based on multiindex orthogonal experiment |
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| YANG Guan-ci,LI Shao-bo,TANG Xiang-hong,QU Jing-lei,ZHONG Yong. Control strategy parameter analysis of parallel hybrid electric vehicles based on multiindex orthogonal experiment[J]. Journal of Computer Applications, 2012, 32(11): 3047-3053. DOI: 10.3724/SP.J.1087.2012.03047 |
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| Authors: | YANG Guan-ci LI Shao-bo TANG Xiang-hong QU Jing-lei ZHONG Yong |
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| Affiliation: | 1. Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu Sichuan 610041, China2. Key Laboratory of Advanced Manufacturing Technology (Guizhou University), Ministry of Education, Guiyang Guizhou 550003, China3. Chengdu Institute of Computer Applications, Chinese Academy of Sciences, Chengdu Sichuan 610041, China4. Key Laboratory of Advanced Manufacturing Technology (Guizhou University), Ministry of Education, Guiyang Guizhou 550003, China |
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| Abstract: | Concerning the parameter optimization of electric assist control strategy for Hybrid Electrical Vehicles (HEV), the orthogonal table was designed based on the theory of orthoplan experiment, which took the fuel consumption, the COs emission, and the total emission of HC and NOx as the experimental indexes. The influence of control strategy parameters on the parallel HEV was obtained by using intuitive analysis to analyze the 18 group test results, and then the remarkably influencing factors of each index were found out. |
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| Keywords: | orthogonal experiment hybrid electrical vehicle multi-objective evolutionary algorithm control strategy |
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