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首页> 外文期刊>International journal of green energy >Dynamic temperature model for proton exchange membrane fuel cell using online variations in load current and ambient temperature
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Dynamic temperature model for proton exchange membrane fuel cell using online variations in load current and ambient temperature

机译：利用负载电流和环境温度在线变化的质子交换膜燃料电池动态温度模型

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摘要

This paper presents a dynamic temperature model for a proton exchange membrane fuel cell (PEMFC) system. The proposed model overcomes the complexity of conventional models using first-order expressions consisting of load current and ambient temperature. The proposed model also incorporates a PEMFC cooling system, which depends upon the temperature difference between events. A dynamic algorithm is developed to detect load changing events and calculate instantaneous PEMFC temperature variations. The parameters of the model are extracted by employing the lightning search algorithm (LSA). The temperature characteristics of the NEXA 1.2 kW PEMFC system are experimentally studied to validate model performance. The results show that the proposed model output and the temperature data obtained from experiments for linear and abrupt changes in PEMFC load current are in agreement. The root-mean-square error between the model output and experimental results is less than 0.9. Moreover, the proposed model outperforms the conventional models and provides advantages such as simplicity and adaptability for low and high sampling data rates of input variables, namely, load current and ambient temperature. The model is not only helpful for simulations but also suitable for dynamic real-time controllers and emulators.
机译：本文提出了质子交换膜燃料电池（PEMFC）系统的动态温度模型。所提出的模型克服了使用包含负载电流和环境温度的一阶表达式的传统模型的复杂性。提出的模型还包含PEMFC冷却系统，该冷却系统取决于事件之间的温度差。开发了一种动态算法来检测负载变化事件并计算瞬时PEMFC温度变化。通过采用闪电搜索算法（LSA）提取模型的参数。对NEXA 1.2 kW PEMFC系统的温度特性进行了实验研究，以验证模型性能。结果表明，所提出的模型输出与从PEMFC负载电流的线性和突然变化实验获得的温度数据是一致的。模型输出与实验结果之间的均方根误差小于0.9。此外，所提出的模型优于常规模型，并且提供了诸如对于输入变量（即负载电流和环境温度）的低采样率和高采样率的简单性和适应性的优点。该模型不仅有助于仿真，而且还适合于动态实时控制器和仿真器。

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