燃料电池混合动力拖拉机的能源管理策略考虑了需求功率频率特征补偿
Mingzhu Zhang1,2, Xianzhe Li3, Dongyan Han4
1Department of Engineering, Huanghe Science and Technology University, Zhengzhou, 450006, China. mingzhu@haust.edu.cn.
Scientific reports
|November 13, 2024
概括
本研究介绍了使用信号重建的燃料电池拖拉机的新能源管理策略. 变量模式分解 (VMD) 方法优化了效率,并减少了农业机械的消耗.
科学领域:
- 农业工程 农业工程
- 可持续能源系统 可持续能源系统
- 混合动力发动机组合动力总成
背景情况:
- 燃料电池拖拉机在农业中提供了可持续的发展,但面临着缓慢响应和低效率等挑战.
- 现有的混合系统需要改进能源管理,以获得最佳的性能和寿命.
研究的目的:
- 建议和评估燃料电池混合动力拖拉机的先进能源管理策略.
- 提高农业机械的能源利用,系统效率和运行寿命.
主要方法:
- 收集拖拉机的引力和速度数据,使用MATLAB动态模型计算所需功率.
- 使用实证模式分解 (EMD) 和变化模式分解 (VMD) 分析了频率响应特征.
- 开发了一个能源管理控制器,以满足燃料电池,动力电池和超级电容器的不同功率需求.
主要成果:
- 与经验模式分解 (EMD) 策略相比,变化模式分解 (VMD) 策略在降低耗方面表现优越.
- 在VMD战略下,混合系统实现了55.0%的最大效率,并消耗了750g的.
- 与EMD策略相比,VDD策略导致最大系统效率增加了27.31%,气消耗减少了3.49%.
结论:
- 提出的基于信号重建的能源管理策略,特别是VMD,为优化农业机械中的燃料电池混合系统提供了可行的解决方案.
- 这项研究为推进拖拉机和其他农业设备中的燃料电池应用提供了新的理论基础和技术途径.
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