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基于运行数据的PHEV工作模式辨别与能耗分析 被引量:1

Working Mode Identification and Energy Consumption Analysis Based on PHEV Operation Data
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摘要 针对某款插电式混合动力汽车(Plug-in Hybrid Electric Vehicle,PHEV)所能获取的运行数据,基于时序关联和划分的分析方法,提出了一套对PHEV进行工作模式辨别和能耗分析的方法。对运行数据进行预处理,筛选出有效数据,提出利用运行数据对车辆的工作模式进行辨别的方法,针对不同的工作模式,分别研究PHEV整车能耗的分析方法。依据某批次真实的PHEV运行数据,利用该方法分析该款PHEV在各个工作模式下的实际整车能耗情况,最终对PHEV的动力系统提出改进建议。 Based on the method of temporal association and division, a set of methods for working mode identification and energy consumption analysis were put forward according to the actual operation data obtained from a plug-in hybrid electric vehicle (PHEV). Firstly, the data was preprocessed in order to select valid data. Then, the method of using the vehicle operation data to identify the working mode was proposed. Finally, the energy consumption analysis methods were researched respectively for different working modes. At the end of the paper, based on a set of real PHEV operation data, the energy consumption of the PHEV was analyzed under various working modes and some suggestions to improve the power system of PHEV were put forward.
作者 金勇 臧鹏飞 王哲 JIN Yong;ZANG Pengfei;WANG Zhe(Universal Car-sharing Leasing Co.,Ltd,Shanghai 201800,China;New Energy Automotive Engineering Center,Tongji University,Shanghai 201800,China)
出处 《汽车工程学报》 2018年第5期358-365,共8页 Chinese Journal of Automotive Engineering
基金 上海市科委项目(15DZ1201500)
关键词 插电式混合动力汽车 运行数据 能耗分析 工作模式 plug-in hybrid electric vehicle operation data energy consumption analysis operation mode
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  • 1孔维政,李琼慧,汪晓露.基于全周期能源利用效率的电动汽车节能减排分析[J].中国电力,2012,45(9):64-67. 被引量:19
  • 2何香玲,郑钢.GPS通信的NEMA协议及定位数据的提取[J].计算机应用与软件,2004,21(12):121-122. 被引量:37
  • 3陈伟,于振伟,魏长江.基于GPRS的GPS监控系统数据传输建模分析[J].山东理工大学学报(自然科学版),2006,20(6):51-54. 被引量:3
  • 4(加)HanJ KamberM 范明 盂小峰 等译.数据挖掘概念与技术m[M].北京:机械工业出版社,2001.223-262.
  • 5..http://lib, slat. Cmu. Edu/datasets/places. Data,.
  • 6Forgy E. Cluster analysis of multivariate data: Efficiency vs. interpretabillty of classifications[ M]. Biometrics, 1965, 21(3) : 768.
  • 7MacQueen J. Some methods for classlfication and analysis of multivariate observations[ A]. Proceedinss of the Fifth Berkeley Symposium on Mathematical Statistics and Probability[ C]. Volume 1. Le-Cam LM, Neyman N, Ed. University of California Press, 1967.
  • 8Duda RO, Hart PE. Pattern Classification and Scene Analysis[ M].New York: John Wiley and Sons, 1973.
  • 9Selim SZ, Alsultan K. A Simulated Annealing Algorithm for the Clustering Problem[J]. Pattern Recognition, 1991, 24(10): 1003- 1008.
  • 10Fayyad U, Reina C, Bradley PS. Initialization of Iterative Refinement Clustering Algorithms[ R]. Microsoft Research Technical Report MSR-TR-98-38, June 1998.

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