胡捷, 苏建徽, 杜燕, 汪海宁, 施永. 基于最小二乘法的PEMFC电堆模型参数辨识[J]. 太阳能学报, 2021, 42(6): 1-4. DOI: 10.19912/j.0254-0096.tynxb.2019-0214
引用本文: 胡捷, 苏建徽, 杜燕, 汪海宁, 施永. 基于最小二乘法的PEMFC电堆模型参数辨识[J]. 太阳能学报, 2021, 42(6): 1-4. DOI: 10.19912/j.0254-0096.tynxb.2019-0214
Hu Jie, Su Jianhui, Du Yan, Wang Haining, Shi Yong. PARAMETER IDENTIFICATION OF PEMFC STACK MODEL BASED ON LEAST SQUARE METHOD[J]. Acta Energiae Solaris Sinica, 2021, 42(6): 1-4. DOI: 10.19912/j.0254-0096.tynxb.2019-0214
Citation: Hu Jie, Su Jianhui, Du Yan, Wang Haining, Shi Yong. PARAMETER IDENTIFICATION OF PEMFC STACK MODEL BASED ON LEAST SQUARE METHOD[J]. Acta Energiae Solaris Sinica, 2021, 42(6): 1-4. DOI: 10.19912/j.0254-0096.tynxb.2019-0214

基于最小二乘法的PEMFC电堆模型参数辨识

PARAMETER IDENTIFICATION OF PEMFC STACK MODEL BASED ON LEAST SQUARE METHOD

  • 摘要: 质子交换膜燃料电池(PEMFC)电堆的优化控制需要精确的电堆模型和参数。该文基于半经验机理模型,根据PEMFC电堆输出特性经验公式以及电化学、热力学原理建立电堆输出电压的机理模型,采用线性回归最小二乘法进行模型参数辨识。仿真实验辨识结果的误差分析表明,其电堆模型参数辨识精度满足控制要求,验证了所提方法的有效性和可行性。

     

    Abstract: The optimal control of Proton Exchange Membrane Fuel Cell(PEMFC)stacks need accurate model and parameters. The mechanism model of stack output voltage is established in this paper based on semi-empirical model,the empirical formula of stack output voltage characteristics,electrochemical principle and thermodynamic principle. Then,the linear regression method of least square method is utilized to identify the model’s key parameters. At last,the error analyses of simulation results indicate that the accuracy of stack parameter identification reaches the control requirements,which verifies the effectiveness and feasibility of the proposed method.

     

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