Journal of Computer Applications ›› 2020, Vol. 40 ›› Issue (10): 2831-2837.DOI: 10.11772/j.issn.1001-9081.2020020157

• Artificial intelligence • Previous Articles     Next Articles

Distribution path planning and charging strategy for pure electric vehicles with load constraint

LIU Yuliang, CHEN Huaili   

  1. Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
  • Received:2020-02-19 Revised:2020-04-23 Online:2020-10-10 Published:2020-05-13
  • Supported by:
    This work is partially supported by the Scientific Research Project of Shanghai Science and Technology Commission (16040501800).


刘育良, 陈淮莉   

  1. 上海海事大学 物流科学与工程研究院, 上海 201306
  • 通讯作者: 刘育良
  • 作者简介:刘育良(1996-),男,河南禹州人,硕士研究生,主要研究方向:城市物流、路径规划;陈淮莉(1970-),女,安徽合肥人,教授,博士,主要研究方向:供应链高级计划与排程、供应链管理。
  • 基金资助:

Abstract: Due to the limitation of driving mileage of pure electric vehicles, it is difficult to realize the long-distance transportation service of pure electric vehicles in a short time to meet the commercial requirements. However, due to the characteristics such as small distribution area, small quantity per batch and large batch number of urban logistics, the pure electric vehicles can be considered to complete the urban distribution tasks. In order to meet the requirements of multiple distribution tasks of the vehicle on the same day and consider the specific impact of vehicle load on real-time energy consumption, a distribution model considering the impact of vehicle load on real-time energy consumption was established to meet the customers' service time requirements in a timely manner. Taking city A as an example, an ant colony algorithm was designed to solve the model, so as to make the reasonable path planning and charging strategy arrangement for the distribution tasks of pure electric vehicles. Finally, the feasibility of pure electric vehicles in urban distribution and logistics in the future was analyzed by comparing to the operation with fuel vehicles.

Key words: pure electric vehicle, urban logistics, operation plan, ant colony algorithm, charging strategy

摘要: 由于纯电动汽车行驶里程的限制,在满足商用要求的前提下,纯电动汽车用于长途运输服务在短期内难以实现。不过,城市物流因其配送区域较小、货物的批量较小、批次较多的特点,可以考虑使用纯电动汽车来完成城市的配送任务。为满足车辆当天多次配送任务的要求以及考虑车辆负载对实时能耗的具体影响,建立了考虑车辆负载对实时能耗影响的配送模型,以及时满足客户的服务时间要求。并以城市A为例,设计了蚁群算法对模型进行求解,为纯电动汽车的配送任务进行合理的路径规划与充电策略的安排。最后,通过与使用燃油车辆运营相比较,分析未来纯电动汽车在城市配送物流中的可行性。

关键词: 纯电动汽车, 城市物流, 运营计划, 蚁群算法, 充电策略

CLC Number: