稳健性(进化)
电动汽车
能源消耗
计算机科学
汽车工程
电池容量
电池(电)
运输工程
运筹学
工程类
电气工程
生物化学
化学
功率(物理)
物理
量子力学
基因
作者
Qiuzi Chen,Chenming Niu,Ran Tu,Tiezhu Li,An Wang,Dengbo He
标识
DOI:10.1016/j.trd.2023.103724
摘要
This paper explores a cost-efficient resource assignment for urban battery-electric-buses (BEBs) considering decision robustness based on the optimized charging plan. A network flow model was proposed to minimize the operation cost with mixed fleet, nonlinear charging and the constraint of charging station capacity. A sensitivity analysis was implemented using samples generated from clustered real-world data to simulate traffic-dependent bus travel time and energy consumption. The result shows that charging at night or with short duration in the daytime significantly increases the operation cost. Sufficient charging resources improve the robustness of the charging plan, while economic benefits merely increase when the charging station capacity reaches a certain threshold. Bus operators can reduce the investment in chargers to ensure both economic benefits and operation stability. When bus routes are longer with higher energy consumption, buses with medium or high battery capacity become more demanding, while the requirement on charging resources remains stable.
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