电动汽车在信号交叉路口的生态驾驶策略基于最佳能源消耗
Teh Jayson1, A S M Bakibillah2, Chee Pin Tan1
1School of Engineering, Monash University, Bandar Sunway 47500, Malaysia.
Journal of environmental management
|August 22, 2024
概括
本研究介绍了电动汽车 (EV) 的生态驾驶策略 (EDS),以优化城市十字路口的能源消耗. 这种新的方法显著提高了能源效率,减少了等待时间,提高了EV在现实交通场景中的性能.
科学领域:
- 汽车工程 汽车工程
- 运输科学 运输科学
- 控制系统 控制系统
背景情况:
- 电动汽车 (EV) 为汽油汽车提供了一个可持续的替代品,这对于减少排放至关重要.
- 电动汽车的能源消耗受到驾驶条件的严重影响,特别是在城市交叉路口.
- 在十字路口优化电动汽车能源使用需要超越传统方法的先进驾驶策略.
研究的目的:
- 为电动汽车 (EV) 提出一种新的生态驾驶策略 (EDS),以尽量减少城市信号交叉点的能源消耗.
- 开发一个全面的电动汽车能源消耗模型,包括各种驾驶和道路因素.
- 通过Pontryagin的最低原则 (PMP) 来制定和解决生态驾驶的最佳控制问题.
主要方法:
- 开发了一种电动汽车能源消耗模型,包括道路等级,曲率,阻力,电机损耗和再生制动.
- 采用了Sigmoid功能,使再生制动效率能够适应不同的速度.
- 使用Pontryagin的最小原则 (PMP) 制定了一个最佳控制问题,以尽量减少能源消耗.
- 通过在各种交通条件下进行微观交通模拟来评估EDS.
主要成果:
- 与传统的驾驶策略 (TDS) 相比,建议的EDS显示了能源效率的显著改善.
- 在各种交通需求中观察到更短的等待时间.
- 该战略确保了驾驶安全和驾驶舒适性,同时优化了能源使用.
- 该EDS具有较低的计算成本,适合实时应用.
结论:
- 新的生态驾驶策略 (EDS) 有效地减少了电动汽车在城市十字路口的能源消耗和等待时间.
- 先进的能源模型和基于PMP的控制为生态驾驶提供了强大的解决方案.
- 电子驾驶系统 (EDS) 是一个可行的,高效的高级驾驶辅助系统 (ADAS),可用于现实世界中实施.
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