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通过协调电动汽车车队和充电站的有效充电计划
Liwan Qi1,2, Bochun Wu3, Shoubo Li1,2
1Institute of New Energy, College of Physics and Electromechanical Engineering, Hexi University, Zhangye, 734000, China.
Scientific reports
|February 13, 2026
概括
这项研究优化了电动汽车 (EV) 在混合交通网络中的充电分配,包括单个电动汽车和车队. 拟议的解决方案减少了电站超载和总充电时间成本,以实现高效的电动汽车充电管理.
科学领域:
- 智能运输系统 智能运输系统
- 电动汽车网络 电动汽车网络
- 无线通信无线通信
背景情况:
- 电动汽车 (EV) 网络中的异质交通流,包括单个车辆和车队,带来了独特的充电挑战.
- 载人电动汽车和不同尺寸和速度的电动汽车队伍的共存可能导致车站超载,并增加总时间成本.
- 车辆与基础设施 (V2I) 通信对于管理复杂的电动汽车充电场景至关重要.
研究的目的:
- 开发一种集中式的方法,优化充电分配和速度控制,在V2I支持的混合交通的电动汽车网络中.
- 为了应对混合电动汽车交通造成的站点超载和高总时间成本的挑战.
- 提高电动汽车充电管理的效率和减少电动汽车充电管理的计算复杂性.
主要方法:
- 为载人电动汽车和电动汽车排队的充电分配和速度规划提出了一个集中式优化策略.
- 车辆与基础设施 (V2I) 通信被用来促进协调的收费和移动决策.
- 开发了一个启发式解决方案来管理与优化问题相关的计算复杂性.
主要成果:
- 拟议的集中式方法有效地减轻了混合流量流动的电动汽车网络中的站点过载.
- 实现了电动汽车充电服务总时间成本的显著降低.
- 启发式解决方案在实际实施中证明了效率,平衡性能和计算负载.
结论:
- 该研究成功地展示了一种有效的方法,用于管理复杂的电动汽车网络中的收费分配.
- 通过V2I通信优化充电和速度是克服异质流量带来的挑战的关键.
- 这些发现为开发更智能,更高效的电动汽车充电基础设施提供了宝贵的见解.
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