Matlab/Stateflow P&O and ICMPPT Implementation for PEM Fuel Cell Power System

H. Bahri, Adelghani Harrag
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Abstract

This paper outlines an innovative way in the assessment of proton exchange membrane fuel cell maximum power point tracking using Matlab/Stateflow implementation of variable step size version of perturb and observe and incremental conductance maximum power point tracking algorithms. In this study, the perturb and observe as well as the incremental conductance maximum power point tracking controllers have been completely implemented as Matlab/Stateflow models having as inputs: cell voltage, cell current and the variable step size; the model's output is the pulse width modulation ratio to drive the DC-DC boost converter for supplying the maximum power available from the 7kW proton exchange membrane fuel cell to a 50W resistive load. Simulation obtained results under different test scenarios prove the effectiveness of the proposed Matlab/Stateflow maximum power point tracking models that can provide accurate results and giving a strong tool to test and validate maximum power point tracking controllers.
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PEM燃料电池动力系统的Matlab/Stateflow P&O和ICMPPT实现
本文概述了一种创新的质子交换膜燃料电池最大功率点跟踪评估方法,利用Matlab/ statflow实现了变步长版本的扰动与观察和增量电导最大功率点跟踪算法。在本研究中,摄动和观察以及增量电导最大功率点跟踪控制器已完全实现为Matlab/状态流模型,其输入为:电池电压,电池电流和可变步长;该模型的输出是脉冲宽度调制比,以驱动DC-DC升压转换器,为7kW质子交换膜燃料电池提供最大功率,以提供50W电阻负载。在不同测试场景下的仿真结果证明了所提出的Matlab/Stateflow最大功率点跟踪模型的有效性,可以提供准确的结果,为测试和验证最大功率点跟踪控制器提供了有力的工具。
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