哈尔滨城区乘用车行驶工况的构建

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摘要 This study mainly discusses the construction of the driving cycle within passenger cars in representative districts in Harbin, China. It conducts a comparative analysis of the New European Driving Cycle (NEDC) and Japan 10-15. This study selects passenger cars in Harbin as study objects and uses GPS to analyze the data of their driving cycle and divide the collected data curves into several short segments. Then, 11 of the most representative parameters are identified to reduce and classify data by conducting principal component analysis and cluster analysis. The relative coefficient is used to extract representative driving segments. The analysis shows that the average speed of passenger cars in Harbin is approximately 15 km/h, which is lower than the conditions set in NEDC and Japan 10-15, with acceleration and deceleration speed parameters at 33.57% and 29.70%, respectively, but higher than the relative parameters in NEDC and Japan 10-15. Comparative results of characteristic parameters show that existing road parameter conditions in Europe and Japan evidently differ from those in Harbin. Driving conditions based on running data can accurately reflect local operating characteristics. This study can serve as an important reference for the design optimization, matching calculation, and control strategy optimization of new energy automobile power systems.

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	郑殿宇
	吴晓刚
	陈汉
	杜玖玉

关键词 ： traffic engineering, driving cycle, principal component analysis, cluster analysis, passenger car, GPS

Abstract：This study mainly discusses the construction of the driving cycle within passenger cars in representative districts in Harbin, China. It conducts a comparative analysis of the New European Driving Cycle (NEDC) and Japan 10-15. This study selects passenger cars in Harbin as study objects and uses GPS to analyze the data of their driving cycle and divide the collected data curves into several short segments. Then, 11 of the most representative parameters are identified to reduce and classify data by conducting principal component analysis and cluster analysis. The relative coefficient is used to extract representative driving segments. The analysis shows that the average speed of passenger cars in Harbin is approximately 15 km/h, which is lower than the conditions set in NEDC and Japan 10-15, with acceleration and deceleration speed parameters at 33.57% and 29.70%, respectively, but higher than the relative parameters in NEDC and Japan 10-15. Comparative results of characteristic parameters show that existing road parameter conditions in Europe and Japan evidently differ from those in Harbin. Driving conditions based on running data can accurately reflect local operating characteristics. This study can serve as an important reference for the design optimization, matching calculation, and control strategy optimization of new energy automobile power systems.

Key words： traffic engineering driving cycle principal component analysis cluster analysis passenger car GPS

收稿日期: 2016-12-29

基金资助:Supported by the Natural Science Foundation of Heilongjiang Province of China (E201451); State Key Laboratory of Automotive Safety and Energy under Project No.KF16062, Tsinghua University

通讯作者: ZHENG Dian-yu E-mail: zhengdianyu_ma15@hrbust.edu.cn

引用本文:

郑殿宇, 吴晓刚, 陈汉, 杜玖玉. 哈尔滨城区乘用车行驶工况的构建[J]. Journal of Highway and Transportation Research and Development, 2018, 12(1): 81-88.
ZHENG Dian-yu, WU Xiao-gang, CHEN Han, DU Jiu-yu. Construction of Driving Conditions of Harbin Urban Passenger Cars. Journal of Highway and Transportation Research and Development, 2018, 12(1): 81-88.

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http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/ 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2018/V12/I1/81

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