Design and optimization of fuel cell consumption using intelligent control

N. Indumathi, N. Veerappan
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Abstract

This paper presents the concepts for design and optimization of fuel cell consumption using fuzzy logic controller with maximum power point tracking technique. This project deals with polymer electrolyte membrane fuel cell under various hydrogen concentration and varied fuel flow rate. In this paper, the minimization of fuel consumption in polymer electrolyte membrane fuel cell is carried out by new approach. This concept explains mainly about the minimization of current produced by the fuel cell by means of intelligent controller namely fuzzy logic approach. The dc-dc converter works with controller which process the power produced by the fuel cell and also compared the fuzzy logic controller with conventional controller and the simulation results are verified.
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利用智能控制设计和优化燃料电池的消耗
本文提出了利用模糊逻辑控制器和最大功率点跟踪技术对燃料电池的功耗进行设计和优化的概念。本课题研究了不同氢浓度和不同燃料流量下的聚合物电解质膜燃料电池。本文采用新的方法实现了聚合物电解质膜燃料电池燃料消耗的最小化。该概念主要解释了通过智能控制器即模糊逻辑方法使燃料电池产生的电流最小。该控制器对燃料电池产生的电能进行处理,并将模糊控制器与常规控制器进行了比较,仿真结果得到了验证。
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