Rafi Kiran Shaik, Alsaif Faisal
Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering (Autonomous), Tirupati, Andhra Pradesh, 517507, India.
Department of Electrical Engineering, College of Engineering, King Saud University, 11421, Riyadh, Saudi Arabia.
Sci Rep. 2024 Sep 10;14(1):21104. doi: 10.1038/s41598-024-72060-4.
At present, the availability of nonrenewable sources and their usage for electric vehicle technology is reducing gradually because of their disadvantages are more environmental pollution, direct effect on human health, less reliability, and taking more time to start functioning. So, in this article, the proton exchange membrane fuel cell (PEMFC) is considered for the automotive application because of its advantages quick startup, more power density, more safety to handle, high efficiency, and capability of operating at very low operational temperature conditions. However, the drawback of PEMFC is very difficult to identify the accurate MPP position of the fuel system. Here, the improved variable step genetic algorithm is added with the adaptive neuro-fuzzy inference system for tracking the operational point of the proposed system with high efficiency. These hybrid MPPT controller features are easy to understand, more accurate, have a better dynamic response, and have low design complexity. The evaluated proposed MPPT controller operational efficiency, and settling time of the converter voltage at different fuel stack temperature conditions are 98.7402%, and 0.01607 s respectively. Finally, the boost converter is used in this work to enhance the voltage supply capability of the entire system. The proposed system is investigated by applying the MATLAB tool.
目前，不可再生能源的可用性及其在电动汽车技术中的应用正在逐渐减少，因为它们的缺点是环境污染更大、对人类健康有直接影响、可靠性较低以及启动运行所需时间更长。因此，在本文中，质子交换膜燃料电池（PEMFC）因其具有快速启动、更高的功率密度、操作更安全、效率高以及能够在非常低的运行温度条件下运行等优点而被考虑用于汽车应用。然而，PEMFC的缺点是很难确定燃料系统的精确最大功率点（MPP）位置。在此，将改进的变步长遗传算法与自适应神经模糊推理系统相结合，以高效跟踪所提出系统的运行点。这些混合最大功率点跟踪（MPPT）控制器的特点是易于理解、更精确、具有更好的动态响应且设计复杂度低。在所评估的不同燃料堆温度条件下，所提出的MPPT控制器的运行效率和转换器电压的稳定时间分别为98.7402%和0.01607秒。最后，在这项工作中使用升压转换器来提高整个系统的供电能力。通过应用MATLAB工具对所提出的系统进行了研究。
