Scholarlink

<p>To enhance the charging efficiency of a battery-powered intelligent guide vehicle (B-IGV) at an automated container terminal (ACT), a dynamic charging scheduling strategy based on vehicle scheduling and rotation, push charging, and pull charging is studied. The objective is to minimize the task completion times while reducing the total number of charging events and improving the overall battery level of the fleet. A simulation model for B-IGV dynamic charging scheduling is developed using a multi-agent system (MAS). Causal analysis experiments are conducted to adjust the charging threshold parameters to find the optimal combination of minimum charging and sufficient battery threshold values. Comparative experiments are designed to validate the effectiveness and robustness of the dynamic charging scheduling strategy. Simulation tests on a 1500 container transport task show that the proposed charging scheduling strategy performs significantly better in effectiveness and feasibility than the traditional "charge-and-leave" strategy.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Dynamic charging strategies for battery-powered IGV based on multi-agent simulation in automated container terminals

  • 期刊论文

  • 发表日期：

    2025年2月24日

查看全文
  • Junjie Wang,
  • Yu Zhang,
  • Kexin Tang,
  • Wenfeng Zhou,
  • Caiyun Yang

摘要

To enhance the charging efficiency of a battery-powered intelligent guide vehicle (B-IGV) at an automated container terminal (ACT), a dynamic charging scheduling strategy based on vehicle scheduling and rotation, push charging, and pull charging is studied. The objective is to minimize the task completion times while reducing the total number of charging events and improving the overall battery level of the fleet. A simulation model for B-IGV dynamic charging scheduling is developed using a multi-agent system (MAS). Causal analysis experiments are conducted to adjust the charging threshold parameters to find the optimal combination of minimum charging and sufficient battery threshold values. Comparative experiments are designed to validate the effectiveness and robustness of the dynamic charging scheduling strategy. Simulation tests on a 1500 container transport task show that the proposed charging scheduling strategy performs significantly better in effectiveness and feasibility than the traditional "charge-and-leave" strategy.