一个新的先进的混合动力模糊MPPT控制器用于可再生能源系统
Shaik Rafi Kiran1, Faisal Alsaif2
1Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering (Autonomous), Tirupati, Andhra Pradesh, 517507, India. rafikiran@gmail.com.
Scientific reports
|September 10, 2024
概括
质子交换膜燃料电池为电动汽车提供了优势,但追踪它们的最大功率点 (MPP) 是一个挑战. 混合MPPT控制器结合了遗传算法和神经模糊系统,提高了效率和动态响应.
科学领域:
- 可再生能源系统可再生能源系统
- 汽车工程 汽车工程
- 控制系统 控制系统
背景情况:
- 非可再生能源带来环境和健康风险,限制了它们在电动汽车中的使用.
- 质子交换膜燃料电池 (PEMFCs) 由于其效率,快速启动和安全性,提供了一个有前途的替代方案.
- 汽车应用中的PEMFCs的一个关键挑战是准确识别最大功率点 (MPP).
研究的目的:
- 开发和评估一款用于汽车应用中的质子交换膜燃料电池系统的新型混合最大功率点跟踪 (MPPT) 控制器.
- 为了解决在不同操作条件下精确追踪PEMFC的MPP的困难.
- 提高基于PEMFC的电动汽车的整体效率和动态性能.
主要方法:
- 整合了一个改进的可变步骤遗传算法与MPPT的自适应神经模糊推理系统 (ANFIS).
- 实施增压转换器以提高电压供应能力.
- 使用MATLAB的系统模拟和分析.
主要成果:
- 拟议的混合MPPT控制器显示了98.7402%的高运行效率.
- 控制器实现了转换器电压的快速定位时间为0.01607秒.
- 混合控制器表现出易于理解,准确性,改进的动态响应和低设计复杂性.
结论:
- 开发的混合MPPT控制器有效地解决了PEMFC系统中准确的MPP跟踪的挑战.
- 拟议的系统为电动汽车应用提供了显著的效率和动态性能改善.
- 这种方法为将PEMFC技术集成到汽车行业提供了强大而高效的解决方案.
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