Sultana Zaheda, Basha C H Hussaian, Irfan Mohammed Mujahid, Alsaif Faisal
Department of Electrical & Electronics Engineering, SR University, Warangal, Telangana, 506371, India.
Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia.
Sci Rep. 2024 Dec 28;14(1):31536. doi: 10.1038/s41598-024-83311-9.
The world is moving towards the utilization of hydrogen vehicle technology because its advantages are uniformity in power production, more efficiency, and high durability when compared to fossil fuels. So, in this work, the Proton Exchange Membrane Fuel Stack (PEMFS) device is selected for producing the energy for the hydrogen vehicle. The merits of this fuel technology are the possibility of operating less source temperature, and more suitability for stationery and transportation applications. Also, it provides a high amount of power density for heavy-duty electric vehicle applications. However, the major issue of the fuel stack technology is excessive current generation. Here, in the first objective, a Single Switch Wide Voltage Supply Converter (SSWVSC) is proposed to optimize the current levels of the fuel device thereby reducing the energy conduction losses of the entire system. In the 2nd objective, the duty cycle generation for the converter and handling of nonlinear energy generation of the fuel device has been done by introducing the Greywolf Optimization-dependent Adaptive neuro-fuzzy inference system (ANFIS). The features of this hybridization concept are less iteration number needed, less disturbance in MPP position, low stabilizing time of the fuel module production voltage, and more reliability. Here, the fuel module interfaced DC-DC circuit is studied by utilizing the MATLAB software and the introduced converter is tested only with programmable DC-Source.
世界正朝着氢动力汽车技术的应用发展，因为与化石燃料相比，其优势在于发电均匀、效率更高且耐久性强。因此，在这项工作中，选择质子交换膜燃料电池堆（PEMFS）装置为氢动力汽车生产能量。这种燃料技术的优点是运行源温度较低的可能性，以及更适合固定和运输应用。此外，它为重载电动汽车应用提供了高功率密度。然而，燃料电池堆技术的主要问题是电流产生过多。在此，第一个目标是提出一种单开关宽电压源转换器（SSWVSC），以优化燃料装置的电流水平，从而降低整个系统的能量传导损耗。第二个目标是通过引入基于灰狼优化的自适应神经模糊推理系统（ANFIS）来生成转换器的占空比并处理燃料装置的非线性能量产生。这种混合概念的特点是所需的迭代次数较少、最大功率点（MPP）位置的干扰较小、燃料模块生产电压的稳定时间较短以及可靠性更高。在此，利用MATLAB软件研究了燃料模块接口的DC-DC电路，并且仅使用可编程直流电源对引入的转换器进行了测试。
