| 低碳环境下电动汽车车辆路径问题 |
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| 引用本文： | 梁凤婷,胡坚堃,黄有方.低碳环境下电动汽车车辆路径问题[J].上海海事大学学报,2018,39(2):34-40. |
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| 作者姓名： | 梁凤婷 胡坚堃 黄有方 |
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| 作者单位： | 上海海事大学物流科学与工程研究院 |
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| 基金项目： | 国家自然科学基金（41505001）；上海市科学技术委员会科研计划（14DZ2280200） |
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| 摘 要： | 为探究电动汽车对物流企业成本和环境的影响,以低碳、节能和低成本为目标,分别构建低碳环境下传统汽油车和电动汽车的路径模型,利用遗传算法求解并对结果进行对比分析。对电池容量、充电时间、电费进行敏感性分析。结果表明:使用电动汽车可以显著降低配送成本,减少环境污染;电池容量和充电效率的提升可以有效降低电动汽车配送成本,但对碳排放量没有直接影响。
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| 关 键 词： | 低碳物流 电动汽车路径问题（EVRP） 能源消耗 遗传算法 |
| 收稿时间： | 2017/4/12 0:00:00 |
| 修稿时间： | 2017/9/20 0:00:00 |
Study on pure electric vehicle routing problem under the low carbon condition |
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| Institution: | ShangHai Maritime Univesity Institute of Logistics Science & Engineering |
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| Abstract: | In order to study the effect of electric vehicles on the logistics enterprise cost and the environment, the path models of traditional gasoline vehicles and electric vehicles are constructed under the low carbon condition, where low carbon, energy saving and low cost are objectives of the models. The models are solved by the genetic algorithm and the results are compared. The sensitivity of battery capacity, charging time and electric charge is analyzed. The result shows that: the use of electric vehicles can significantly reduce the cost of distribution and environmental pollution; the increase of battery capacity and charging efficiency can effectively reduce the distribution cost of electric vehicles, but has no directimpact on carbon emission. |
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| Keywords: | low carbon logistics electric vehicle routing problem (EVRP) energy consumption genetic algorithm |
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