基于改进的动态编程和控制规则提取,研究混合动力电动汽车的节能自适应优化
1Henan Technical College of Construction, Zhengzhou, Henan, China.
Scientific reports
|November 25, 2025
概括
本研究介绍了一种适应性能源管理策略 (EMS),用于动力分割的混合动力电动巴士,以提高燃油经济性. 这种新的方法优化了能源使用,与传统方法相比,可以节省大量的石油.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 混合动力电动汽车 混合动力电动汽车
背景情况:
- 有效的能源管理对于混合动力电动巴士的效率至关重要.
- 现有的策略往往缺乏针对不同操作条件的实时优化.
研究的目的:
- 为分功率混合动力电动巴士 (HEB) 开发实时适应性能源管理策略 (EMS).
- 通过使用先进的算法优化电源协调来提高燃油经济性.
主要方法:
- 一个改进的动态编程 (DP) 算法,包含了secant方法.
- 通过异常值检测和图形分析提取最佳控制规则.
- 在线适应使用Relevance Vector Machine和粒子群集优化.
主要成果:
- 拟议的EMS非常接近DP的结果.
- 与逻辑值控制相比,实现了14.6%的石油节约.
- 在模拟和硬件循环测试中表现出卓越的实时性能.
结论:
- 新的EMS有效地最大限度地提高了功率分割HEB的燃油经济潜力.
- 该战略在不同的驾驶周期中提供了显著的适应性.
- 这项研究为优化HEB性能提供了一条新的途径.
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