Rafikiran Shaik, Alsaif Faisal
Sri Venkateshwara College of Engineering (Autonomous), Tirupati, AP, 517502, India.
Department of Electrical Engineering, College of Engineering, King Saud University, 11421, Riyadh, Saudi Arabia.
Sci Rep. 2024 May 18;14(1):11379. doi: 10.1038/s41598-024-62208-7.
At present, conventional energy production is absent because of the more hazardous gases released into the environment, the high effect on human health, more cost required for maintenance, plus less usefulness for highly populated areas. So, the Renewable Energy Sources are more focused for the present automotive industry application. In this work, the Proton Exchange Membrane Fuel Stack is considered for analyzing the proposed DC-DC converter circuit. The advantages of this fuel stack are high energy density, fast functioning nature, more robustness, and more usefulness for the various water membrane conditions of the fuel stack. However, the disadvantages of the fuel stack are excessive current generation, plus more current conduction losses. So, the wide voltage supply single switch power converter is introduced in this work for optimizing the current production of the fuel stack network. The merits of this converter circuit are high stability, good reliability, low voltage appearing across the switches, plus a uniform power supply. Here, the converter switching pulses are obtained by proposing the Modified Continuous Step Change Adaptive Fuzzy Logic with Grey Wolf Optimization hybrid controller. This controller provides high maximum power extraction efficiency from the fuel stack which is equal to 99.421%. Also, this controller's Maximum Power Point Tracking time is 0.0285 s.
目前,由于向环境中释放的有害气体更多、对人体健康影响大、维护成本高,以及对人口密集地区的实用性较低,传统能源生产已不复存在。因此,可再生能源在当前汽车工业应用中更受关注。在这项工作中,考虑使用质子交换膜燃料电池堆来分析所提出的DC-DC转换器电路。这种燃料电池堆的优点是能量密度高、运行速度快、更坚固,并且在燃料电池堆的各种水膜条件下更有用。然而,燃料电池堆的缺点是产生过多电流以及电流传导损耗更大。因此,这项工作中引入了宽电压供电单开关功率转换器,以优化燃料电池堆网络的电流产生。该转换器电路的优点是稳定性高、可靠性好、开关两端出现低电压以及电源均匀。在此,通过提出具有灰狼优化的改进连续阶跃变化自适应模糊逻辑混合控制器来获得转换器开关脉冲。该控制器从燃料电池堆中提供高达99.421%的最大功率提取效率。此外,该控制器的最大功率点跟踪时间为0.0285秒。