摘要
为指导车辆设计及优化整车动力系统性能,对道路坡度、瞬时比功率、车速等反映车辆能耗的关键因素进行分析,在建立运动学片段特征值的基础上,运用主成分分析方法及快速聚类分析方法分析了运动学片段特征值,构建了候选工况,综合运用相关系数、相对误差及关键参数概率分布选出了代表性行驶工况,该代表性工况即为构建的济南市道路行驶工况.研究结果表明,以车速信息为基础的特征值与总体样本的相对误差平均值为2.82%,反映道路坡度和能耗状态的特征值与总体样本误差平均值为3.40%,表明构建的工况特征值能够表征车辆实际道路行驶状态.
A driving cycle was constructed to guide new vehicle development and power-train optimization. Key factors that affect vehicle energy consumption, such as road slope, vehicle transient specific power, and vehicle speed, were analyzed. Taking vehicle energy consumption and road slope into consideration, characteristic values of kinematic sequences were proposed. Then, candidate driving cycles were constructed according to the analysis result of kinematic sequences by using tools such as principal composition analysis and clustering analysis. Finally, the actual driving cycle for Jinan was selected from candidate driving cycles by comprehensive consideration of the correlation coefficient, relative error, and key parameters probability distribution. Results indicate that the average error between characteristic values related to vehicle speed and total samples is within 2.82%, and the average error between other characteristic values and total samples is within 3.40%. Therefore, the characteristic values of driving cycle calculated from the presented method can characterize the driving cycle of the real roads in Jinan.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2012年第6期989-995,1026,共8页
Journal of Southwest Jiaotong University
基金
国家863计划资助项目(2009AA11A118)
山东省科技发展计划资助项目(2011GGX10506)
山东大学研究生自主创新基金资助项目(yzc10123)
关键词
行驶工况
道路坡度
车辆瞬时比功率
构建
济南市
driving cycle road slope vehicle transient specific power construction Jinan City
