引用本文: | 黄伟,刘海江,童荣辉,李敏.车辆驾驶性评估方法在蠕行工况中的应用[J].哈尔滨工业大学学报,2018,50(7):126.DOI:10.11918/j.issn.0367-6234.201712026 |
| HUANG Wei,LIU Haijiang,TONG Ronghui,LI Min.Application of assessment method of vehicle drivability in creep conditions[J].Journal of Harbin Institute of Technology,2018,50(7):126.DOI:10.11918/j.issn.0367-6234.201712026 |
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摘要: |
为解决评估体系构建方法不科学,评估指标权重计算及主客观权重分配不合理的问题,提出构建驾驶性评估体系和计算指标权重的新方法.考虑车辆驾驶性在蠕行工况的内涵,基于SMART原则对驾驶性评估体系进行设计,从纵向响应特性、纵向平顺特性、纵向稳态特性3个维度构建了蠕行工况驾驶性评估体系;提出用网络层次分析和组合熵分别计算主客观权重,并设计结合网络层次和组合熵的综合权重优化模型,用于计算评估体系中各评估指标权重,使其兼顾主观性和客观性.应用该方法进行多辆车的蠕行工况驾驶性评估,对比分析不同权重计算方法的评估结果.结果表明:本文提出的方法得到的评估结果较层次分析、熵权等方法更准确,该评估体系构建方法更具科学性,权重计算方法更有效.
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关键词: 蠕行工况 驾驶性 SMART原则 评估体系 网络层次分析 组合熵 |
DOI:10.11918/j.issn.0367-6234.201712026 |
分类号:U467 |
文献标识码:A |
基金项目:中国汽车产业创新发展联合基金(U 1764259); 上海汽车工业科技发展基金(1517); 上海市科学技术委员会 (15111103402) |
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Application of assessment method of vehicle drivability in creep conditions |
HUANG Wei1,LIU Haijiang,1,TONG Ronghui 2,LI Min 1
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(1. School of Mechanical Engineering, Tongji University, Shanghai 201804, China; 2. Shanghai Motor Corporation Limited, Shanghai 200041, China)
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Abstract: |
To solve the problems that the construction method of assessment system was unscientific, the weight calculation of evaluation indexes and the distribution of subjective and objective weight were irrational, a new method of constructing evaluation system of drivability for vehicles and determining indexes weight for drivability evaluation was proposed. Considering the connotation of vehicle drivability in creep condition, the drivability evaluation system of creep condition was designed based on SMART principle, and the evaluation system was established from three dimensions of longitudinal response, longitudinal smooth and longitudinal steady state. The analytic hierarchy process and combined entropy was also proposed to calculate the subjective and objective weights respectively, and a comprehensive weight optimization model was designed based on network hierarchy and combined entropy to calculate the weight of evaluation indexes in the evaluation system to balance the subjectivity and objectivity. Many vehicles were evaluated under creep condition and the results show that the evaluation results obtained by the proposed method are more accurate than those by the analytic hierarchy process and the entropy weight method. The construction method of the evaluation system is more scientific and the weight calculation method is more effective.
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Key words: creeping condition drivability SMART criteria evaluation system analytic network process combination entropy |