以能源为导向的混合合作适应式巡航控制器用于燃料电池电动汽车车队
Shibo Li1,2, Liang Chu1,2, Pengyu Fu3
1College of Automotive Engineering, Jilin University, Changchun 130022, China.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究介绍了燃料电池电动汽车 (FCEV) 排队的以能源为导向的混合动力合作自适应巡航控制 (eHCACC). 该策略提高了节能效率,并保持了稳定的汽车跟踪性能.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 可持续的运输可持续的运输
背景情况:
- 燃料电池电动汽车 (FCEV) 具有复杂的动力系统和排队限制.
- 优化车辆间协同效应和能源节约对于运输效率至关重要.
研究的目的:
- 为FCEV排队提出一个以能源为导向的混合合作自适应巡航控制 (eHCACC) 战略.
- 为了提高能源节约,并确保FCEV车队的稳定汽车追踪性能.
主要方法:
- 一种混合合作控制架构,具有顶层的集中控制器 (TCC) 和底层的分布式控制器 (BDC).
- 为了获得最佳的参考速度,TCC使用了生态驾驶CACC (eCACC) 策略 (最小原则和随机森林).
- BDC 采用相当的消耗最小化策略 (ECMS) 来获得最佳的动力总成控制输入.
主要成果:
- 拟议的eHCACC策略改善了FCEV排队中的汽车跟踪稳定性.
- 在FCEV中队中观察到能源效率的显著提高.
结论:
- 在FCEV车队中,eHCACC战略有效地平衡了汽车跟踪性能和能源节约.
- 这种方法为排队车辆释放了更大的节能潜力.
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