论文研究-基于电动物流车的充电和换电设施选址模型.pdf
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39
7
Vol.39, No.7
2019
7
Systems Engineering — Theory & Practice July, 2019
doi: 10.12011/1000-6788-2018-1698-15
: F253.7; U57
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Location models of charging and battery swapping facilities based
on electric vehicles
YANG Lei, HAO Caixia, TANG Ruihong
(Sc hool of Economics and Commerce, South China University of Technology, Guangzhou 510006, China)
Abstract This paper studies the location problem of battery charging and swapping facilities based
on electric vehicle under battery charging mode and swapping mode. Firstly, this study builds a path
planning and vehicle scheduling model without charging or battery swapping and location models with the
objective of minimizing the sum of electricity cost, fixed cost, opportunity cost, and penalty cost under
both charging mode and battery swapping mode. Then an improved genetic algorithm is developed to solve
the path planning model and the location models of charging or swapping facilities. Finally, this paper
compares and analyzes the location decision of charging or swapping facilities and the relevant distribution
cost under charging mode and battery swapping mode. Results of this study show that when there is no
delay caused by the charging in distribution, the delivery cost under the charging mode is lower; but when
there are delays caused by the charging, improving charging speed or using battery swapping mode can
lower the delivery cost. In addition, the service cost of public charging stations will significantly affect
the decision-making of logistics companies on whether to build their own charging facilities or use public
charging stations.
Keywords electric vehicles; battery charging mode; battery swapping mode; location problems; charging
or swapping facilities
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: 2018-08-31
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(1979–),
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, E-mail: yang@scut.
edu.cn.
01
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(71572058, 71520107001);
(2018ZDXM05);
(2018A070712002)
Foundation item: National Natural Science Foundation of China (71572058, 71520107001); The Fundamental Researc h
Funds for the Central Universities Foundation of China (2018ZDXM05); Soft Science Program of Guangdong Pro vince
(2018A070712002)
2345
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[J].
, 2019, 39(7):
1781–1795.
7345
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: Yang L, Hao C X, Tang R H. Location mo dels of charging and battery swapping facilities based on electric
vehicles[J]. Systems Engineering — Theory & Practice, 2019, 39(7): 1781–1795.
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