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Thermal Layout Analysis and Design of Direct Methanol Fuel Cells on PCB Based on Novel Particle Swarm Optimization

机译:基于新型粒子群算法的PCB直接甲醇燃料电池热布局分析与设计

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摘要

As a new energy technology, the fuel cell has developed rapidly, and its performance has been continuously improved. Fuel cell stacks composed of multiple single cells are gradually being used in portable electronic products. Since the performance of fuel cells cannot be optimal at room temperature, it is critical to research cell temperature characteristics and heat distributions in applications. In this paper, the effects of temperature and charge transfer coefficient and the relationship between exchange current density and output voltage were analyzed by the mathematical model of direct methanol fuel cells. Moreover, to optimize the thermal layout of the fuel cell stack in the printed circuit board (PCB) substrate, the idea of a fuel cell as a device was proposed innovatively, and the corresponding thermal optimization strategy was analyzed. A novel particle swarm optimization algorithm was used to detect the optimal layout of fuel cells of different specifications on the same substrate. The three-dimensional thermal simulation model was used to obtain the temperature data and verify the optimization results.
机译:燃料电池作为一种新能源技术发展迅速,其性能不断提高。由多个单电池组成的燃料电池堆正逐渐用于便携式电子产品中。由于燃料电池的性能不能在室温下达到最佳,因此研究电池温度特性和应用中的热分布至关重要。本文通过直接甲醇燃料电池的数学模型分析了温度和电荷转移系数的影响以及交换电流密度与输出电压之间的关系。此外,为了优化燃料电池堆在印刷电路板(PCB)基板中的热布局,创新性地提出了将燃料电池作为一种装置的想法,并分析了相应的热优化策略。一种新颖的粒子群优化算法用于检测不同规格的燃料电池在同一基板上的最佳布局。使用三维热仿真模型获得温度数据并验证优化结果。

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