一种新的最大功率点跟踪与混合控制算法,用于汽车热电发电机系统
Jie Chen1, Ruochen Wang1, Yuefei Wang1
1School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
The Review of scientific instruments
|February 13, 2024
概括
本研究引入了用于汽车热电发电机 (ATEG) 系统的新最大功率点跟踪 (MPPT) 算法. 新的卡尔曼过器和模糊控制算法提高了跟踪速度和准确性,以提高ATEG性能.
科学领域:
- 汽车工程 汽车工程
- 热电能转换热电能转换
- 控制系统 控制系统
背景情况:
- 汽车热电发电机 (ATEG) 系统为废热回收提供了潜力.
- 有效的实时最大功率点跟踪 (MPPT) 对于优化ATEG性能至关重要.
- 现有的MPPT算法在动态条件和跟踪精度方面面临着挑战.
研究的目的:
- 为ATEG系统开发和验证一种新的MPPT算法.
- 为了提高ATEG输出功率的实时跟踪速度和准确性.
- 提高ATEG系统的整体效率和稳定性.
主要方法:
- 整合卡尔曼过和模糊控制的新型MPPT算法.
- 使用双相交叉并行直流-直流增压转换器.
- 与传统的增量导电性算法进行比较.
主要成果:
- 新的MPPT算法显著减少了跟踪时间,与增量导电率方法相比.
- 卡尔曼过有效地消除了高频组件,改善了跟踪稳定性.
- 新的算法实现了94.9%的跟踪精度,超过了传统方法的5.2%.
结论:
- 拟议的卡尔曼波器和基于模糊控制的MPPT算法提供了ATEG最大功率点的精确和快速跟踪.
- 这种新的方法提高了跟踪稳定性和准确性,优于传统方法.
- 该算法适用于整个车辆驾驶周期的实时应用.
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