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作 者:王森 郭萌[1] 聂规划[1,2] 徐尚英[1] 代四广[2] WANG Seng;GUO Meng;NIE Gui-hua;XU Shang-ying;DAI Si-guang(School of Economics, Wuhan University of Technology, Wuhan 430070, China;School of Management, Wuhan University of Technology, Wuhan 430070, China)
机构地区:[1]武汉理工大学经济学院电子商务智能研究中心,湖北武汉430070 [2]武汉理工大学管理学院,湖北武汉430070
出 处:《数学的实践与认识》2018年第10期31-41,共11页Mathematics in Practice and Theory
基 金:国家自然科学基金(71702138);中央高校基本科研业务费专项资金资助(2017VI041);中央高校基本科研业务费专项资金资助(155103003);湖北省教育厅科学技术研究项目(B2016403);武汉理工大学华夏学院科研基金项目(15027)
摘 要:针对电动汽车充电难这一现状,分析现有的电动汽车充换电模式特点,结合电动汽车服务“通用化、智能化”趋势,提出了换电站到点式服务模式.分析到点式服务模式下用户的需求分布特点,建立灰色预测模型对电动汽车保养量进行预测,利用汽车保有量与电池关系来预测电池需求量,作为换电站电池配依据.最后,选取北京的相关数据进行分析,验证了模型的可行性与有效性.In view of the current situation of the paper analyzed the characteristics of the existing difficulty in electric vehicle charging, this electric vehicle charging mode, and put forward the to-point service mode of power station by combining with the "generalization, intelligence" trend of electric vehicle service. By analyzing the characteristics of the resource demand for power station under the to-point service mode, the element of user distance was introduced and multi-target location model for power station was constructed to minimize the service cost of power station and maximize customers' satisfaction, furthermore, the tabu search genetic algorithm was used to solve the model. At last, a numerical example was given to verify the validity of the model.
分 类 号:N941.5[自然科学总论—系统科学]
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