How Will Dynamic Charging Tariff Affect Electric Truck Fleet Operation:A Two-Stage Stochastic Model  

作　　者：DENG Jiali HU Hao DAI Lei 邓佳莉;胡昊;戴磊

机构地区：[1]State Key Laboratory of Ocean Engineering,School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Journal of Shanghai Jiaotong university(Science)》2024年第6期1050-1062,共13页上海交通大学学报(英文版)

基　　金：the Key Soft Science Project of Shanghai“Science and Technology Innovation Action Plan”(No.21692195200);the Project of Chinese Academy of Engineering(No.2020-XZ-15)。

摘　　要：Technical advances and sustainable development tendency accelerate the implementation of electric trucks.However,the penetration of dynamic charging tariff policy poses a huge challenge to the cost-optimal operation of the electric truck fleet.To this end,a two-stage stochastic electric vehicle routing model is formulated to support cost-efficient routing and charging decisions.Furthermore,an experimental study based on a real-world distribution network is conducted to evaluate impacts of dynamic charging tariffs on logistics planning.The results show that the daily operation cost can reduce by 3.57%to 5.55%as the number of dynamic charging stations increases.The value of stochastic solution confirms the benefits of implementing stochastic programming model,which will ensure a lower operation cost in the long-term through robust route planning.

关 键 词：dynamic charging tariff electric vehicle routing stochastic programming 

分 类 号：U125[交通运输工程]