汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (1): 112-119.doi: 10.19562/j.chinasae.qcgc.2019.01.018

• • 上一篇    

面向大数据的新能源汽车复杂联盟云评价研究*

尹蕾1, 蒋建国1, 路瑞刚2, 尹安东3   

  1. 1.合肥工业大学计算机与信息学院,合肥 230009;
    2.中国汽车工程学会,北京 100055;
    3.合肥工业大学汽车与交通工程学院,合肥 230009
  • 收稿日期:2018-09-25 出版日期:2019-01-25 发布日期:2019-01-25
  • 通讯作者: 尹安东,副教授,博士,E-mail:yin_ad@163.com
  • 基金资助:
    *国家自然科学基金(61174170,61573125)和国家新能源汽车重点研发计划项目(2017YFB0103200)资助。

A Research on Big-data Oriented Cloud Evaluationfor Complex Alliance of New Energy Vehicles

Yin Lei1, Jiang Jianguo1, Lu Ruigang2, Yin Andong3   

  1. 1.School of Computer and Information, Hefei University of Technology, Hefei 230009;
    2.China Society of Automotive Engineers, Beijing 100055;
    3.School of Automotive and Traffic Engineering, Hefei University of Technology, Hefei 230009;
  • Received:2018-09-25 Online:2019-01-25 Published:2019-01-25

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摘要： 联盟评价是联盟机制不可缺少的关键环节,大数据是联盟评价的重要战略资源,面向大数据的联盟评价是新能源汽车联盟的研究热点。本文中基于云模型理论,提出了一种面向大数据的新能源汽车复杂联盟云评价方法。首先面向大数据建立新能源汽车联盟的评价模型,并运用逆向云发生器和云综合运算生成联盟评价指标评价云;其次在确定联盟评价指标权重云和任务权重云的基础上,运用云运算规则分别产生单任务联盟评价云和多任务复杂联盟评价云,并针对复杂联盟备选方案进行云评价和选优;最后通过实例验证了该方法的有效性和合理性。

关键词: 新能源汽车, 复杂联盟, 大数据, 云模型, 云评价

Abstract: A big data-oriented cloud evaluation method for the complex alliance of new energy vehicles is proposed in this paper based on cloud model theory. First of all, the big data-oriented evaluation model for new energy vehicle alliance is established and the alliance evaluation indicator cloud is generated by using reverse cloud generator and comprehensive cloud calculation. Then, on the basis of determining the weighting clouds of the evaluation indicators and tasks for the alliance, the evaluation clouds of both single-task alliance and multi-task complex alliance are created respectively by applying cloud computing rules, and cloud evaluation and optimization are performed on the alternative schemes of the complex alliance. Finally, a real example is given to verify the effectiveness and rationality of the method proposed.

Key words: new energy vehicles, complex alliance, big data, cloud model, cloud evaluation