针对燃料电池系统的先进混合MPPT控制器进行了全面的性能分析
Ezzeddine Touti1, Shaik Rafikiran2, Besma Bechir Graba1
1Department of Electrical Engineering, College of Engineering, Northern Border University, 91431, Arar, Saudi Arabia.
Scientific reports
|May 31, 2024
概括
研究人员探索了电动汽车的可再生能源系统,重点是燃料电池. 一种新的基于连续不同斜率值的子搜索方法 (CDSV与CSM) 有效地从质子交换膜燃料堆中提取最大功率.
科学领域:
- 可再生能源系统可再生能源系统
- 汽车动力技术 汽车动力技术
- 燃料电池技术的使用
背景情况:
- 电动汽车 (EV) 越来越多地使用可再生能源系统 (RPS).
- 燃料电池,特别是质子交换膜燃料堆 (PEMFS),是电动汽车的关键RPS,因为效率和环境效益.
- PEMFS表现出非线性功率密度曲线,阻碍了峰值功率的提取.
研究的目的:
- 调查基于元启发优化的最大功率点跟踪 (MPPT) 方法,用于PEMFS.
- 解决从具有非线性特征的PEMFS中提取峰值功率的挑战.
- 将各种MPPT技术的性能与传统方法进行比较.
主要方法:
- 对传统的MPPT方法的审查和模拟.
- 分析各种基于元启发优化的MPPT技术.
- 实施和评估基于连续不同斜率值的Cuckoo搜索方法 (CDSV与CSM).
主要成果:
- 与其他MPPT技术相比,CDSV与CSM方法显示出更高的效率和更高的输出功率.
- 模拟调查证实了metaheuristic方法在解决PEMFS非线性方面的有效性.
- 对模拟结果的全面分析为所有测试的MPPT方法的性能提供了洞察力.
结论:
- 与CSM一起的CDSV是一种高效的MPPT方法,用于优化电动汽车应用中PEMFS的功率输出.
- 超启发式优化为克服燃料电池系统中非线性功率密度曲线所带来的挑战提供了一个有前途的解决方案.
- 进一步的研究和模拟分析对于推进电动出行可再生能源系统中MPPT战略具有价值.
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