电动汽车在充电站中的快速充电协调基于启发式和元启发式的启发式
Euler B P Santos1, Carlos A Castro2
1Pontifical Catholic University of Campinas (PUC-Campinas), Campinas, Brazil.
Scientific reports
|July 2, 2025
概括
本研究使用基于教学优化 (TLBO) 和启发式技术来解决电动汽车 (EV) 充电时间的问题. 这些方法有效地协调电动汽车充电,以最大限度地提供电池能量,而无需过度负载电网.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 运输技术 运输技术 运输技术
背景情况:
- 汽车行业正在迅速向电动汽车 (EV) 过渡.
- 充电时间和车站可用性等障碍阻碍了电动汽车的广泛采用.
- 优化电动汽车充电对于电网稳定性和用户满意度至关重要.
研究的目的:
- 开发和评估用于协调电动汽车在充电站充电的新方法.
- 为了应对长时间充电电动汽车的挑战,并确保高效的能源供应.
- 为了优化充电过程而不会超过配电网的限制.
主要方法:
- 使用基于教学优化 (TLBO) 的元启发式教学优化算法.
- 采用专门的启发式技术,提供快速,高质量的充电解决方案.
- 模拟和比较TLBO与启发式方法的性能.
主要成果:
- 两种拟议的方法都有效地协调了电动汽车的充电.
- 这些方法成功地在电网约束范围内为电动汽车电池提供最大的能量.
- 模拟结果证明了开发的技术的效率和可行性.
结论:
- TLBO和启发式方法为电动汽车充电协调提供了有效的解决方案.
- 这些方法可以帮助克服充电时间障碍,促进电动汽车的采用.
- 提出的技术符合电动汽车客户的效率期望,并支持电网集成.
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