基于运行数据的PHEV关键零部件效率分析
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  • 英文篇名:Efficiency Analysis of PHEV Critical Components Based on Operation Data
  • 作者:臧鹏飞 ; 谢先宇 ; 林炼炼 ; 王哲
  • 关键词:插电式混合动力汽车 ; 运行数据 ; 动力电池 ; 驱动电机 ; 效率
  • 英文关键词:plug-in hybrid electric vehicle;;operation data;;power battery;;traction motor;;efficiency
  • 中文刊名:JDTH
  • 英文刊名:Mechatronics
  • 机构:同济大学新能源汽车工程中心;上海机动车检测认证技术研究中心有限公司;
  • 出版日期:2018-05-15
  • 出版单位:机电一体化
  • 年:2018
  • 期:v.24
  • 基金:上海市科委项目(15DZ1201500);; 上海经信委项目(30万辆新能源汽车大数据平台及服务能力建设)
  • 语种:中文;
  • 页:JDTH201805003
  • 页数:7
  • CN:05
  • ISSN:31-1714/TM
  • 分类号:18-23+38
摘要
为了利用从某款插电式混合动力汽车所采集的运行数据对驱动电机和动力电池进行效率分析,提出一种基于时序关联和划分的分析方法。先对数据进行分类、筛选、过滤与整合,然后提出驱动电机和动力电池的效率计算方法并绘制实际效率分布图。考察实际运行过程中驱动电机和动力电池常用工作区域的分布情况以及每个工作区域的平均效率,最终根据常用工作区域与其高效区的匹配程度来分析驱动电机和动力电池的实际效率。依据此方法对某批次真实的PHEV运行数据进行分析得出:驱动电机和动力电池的高效区在实际运行中未被充分利用,在驱动电机和动力电池的选型与控制策略制订过程中需尽量使其常用工作区域覆盖高效区。
        In order to analyze the efficiency of traction motors and power batteries by using the operational data collected from a PHEV,a method based on time series correlation and partition is proposed. The data is segmented,classified,screened,filtered and integrated,then the efficiency calculation methods of the traction motors and power batteries are proposed and the actual efficiency distribution map is drawn. After that,the distribution of the common working area and the average efficiency of each working area in actual operation are researched. Finally,the matching degree of the common working area and efficient area was used to analyze the actual efficiency of the traction motor and power battery. At the end of this paper,a batch of PHEV operational data was analyzed based on this method,and it was concluded that the high efficiency areas of the traction motor and the power battery are not utilized adequately in the actual operation. It is necessary to cover the high efficiency area with the common working area as far as possible in the process of components selection and control strategy formulation.
引文
[1]冯桂宏,李庆旭,张炳义,等.电动汽车用永磁电机弱磁调速能力[J].电机与控制学报,2014,18(8):55-61,66.
    [2]KONIG O,GREGORCˇICˇG,JAKUBEK S.Model predictive control of a DC-DC converter for battery emulation[J].Control Engineering Practice,2013,21(4):428-440.
    [3]李拾成.基于CAN总线的电动汽车动力电池能量管理系统研究[D].广州:华南理工大学,2016.
    [4]徐飞,史黎明,李耀华.异步电机在线参数观测及损耗控制策略[J].中国电机工程学报,2013,33(6):112-119,16.
    [5]ZHUANG J-H,XIE H,YAN Y.Research and development of electric vehicle data collection and calibration platform based on GPRS and INTERNET.Proceedings of the 2008 IEEE Vehicle Power and Propulsion Conference[C],2008.
    [6]朱曰莹,赵桂范,杨娜.电动汽车用开关磁阻电机驱动系统设计及优化[J].电工技术学报,2014,29(11):88-98.
    [7]李红林,孙逢春,张承宁.动力电池充放电效率测试分析[J].电源技术,2005(1):49-51.
    [8]董恩源.昆明市新能源汽车示范运行管理信息化平台开发与应用探索研究[D].昆明:昆明理工大学,2013.
    [9]ARIAS M B,BAE S.Electric vehicle charging demand forecasting model based on big data technologies[J].Applied Energy,2016,183(Supplement C):327-339.
    [10]FETENE G M,KAPLAN S,MABIT S L,et al.Harnessing big data for estimating the energy consumption and driving range of electric vehicles[J].Transportation Research Part D:Transport and Environment,2017,54(Supplement C):1-11.
    [11]赵云峰,陈俊,朱自萍,等.混合动力汽车和新能源汽车数据分析[J].农业装备与车辆工程,2012,50(5):26-33.
    [12]黄万友,程勇,王宏栋,等.纯电动汽车磷酸铁锂电池组放电效率模型[J].华中科技大学学报(自然科学版),2012,40(5):129-132.

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