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基于粒子群优化算法的高温质子交换膜燃料电池汽车性能分析与优化

Performance Analysis and Optimization of a High-Temperature PEMFC Vehicle Based on Particle Swarm Optimization Algorithm.

作者信息

Li Yanju, Ma Zheshu, Zheng Meng, Li Dongxu, Lu Zhanghao, Xu Bing

机构信息

College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.

出版信息

Membranes (Basel). 2021 Sep 7;11(9):691. doi: 10.3390/membranes11090691.

DOI:10.3390/membranes11090691
PMID:34564508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8466202/
Abstract

In this paper, a high-temperature proton exchange membrane fuel cell (HT-PEMFC) model using the polybenzimidazole membrane doped with phosphoric acid molecules is developed based on finite time thermodynamics, considering various polarization losses and losses caused by leakage current. The mathematical expressions of the output power density and efficiency of the HT-PEMFC are deduced. The reliability of the model is verified by the experimental data. The effects of operating parameters and design parameters on the output performance of the HT-PEMFC are further analyzed. The particle swarm optimization (PSO) algorithm is used for the multi-objective optimization of the power density and efficiency of the HT-PEMFC. The results show that the output performance of the optimized HT-PEMFC is improved. Then, according to the different output performance of the low-temperature proton exchange membrane fuel cell (LT-PEMFC), HT-PEMFC, and optimized HT-PEMFC, different design schemes are provided for a fuel cell vehicle (FCV) powertrain. Simulation tests are conducted under different driving cycles, and the results show that the FCV with the optimized HT-PEMFC is more efficient and consumes less hydrogen.

摘要

本文基于有限时间热力学,考虑各种极化损失和漏电流引起的损失,建立了一种使用掺杂磷酸分子的聚苯并咪唑膜的高温质子交换膜燃料电池(HT - PEMFC)模型。推导了HT - PEMFC的输出功率密度和效率的数学表达式。通过实验数据验证了模型的可靠性。进一步分析了运行参数和设计参数对HT - PEMFC输出性能的影响。采用粒子群优化(PSO)算法对HT - PEMFC的功率密度和效率进行多目标优化。结果表明,优化后的HT - PEMFC的输出性能得到了提高。然后,根据低温质子交换膜燃料电池(LT - PEMFC)、HT - PEMFC和优化后的HT - PEMFC的不同输出性能,为燃料电池汽车(FCV)动力总成提供了不同的设计方案。在不同的驾驶循环下进行了仿真测试,结果表明,采用优化后的HT - PEMFC的FCV效率更高,氢气消耗更少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/9c6a9dd737af/membranes-11-00691-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/16df24934c83/membranes-11-00691-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/16f14146ba11/membranes-11-00691-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/c0455b5205ee/membranes-11-00691-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/b7e0f0c35ecf/membranes-11-00691-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/9b947265e12a/membranes-11-00691-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/8fedfce640f9/membranes-11-00691-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/50a1f2cd5a35/membranes-11-00691-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/9c6a9dd737af/membranes-11-00691-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/16df24934c83/membranes-11-00691-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/16f14146ba11/membranes-11-00691-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/c10dfb1ccfe8/membranes-11-00691-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/c0455b5205ee/membranes-11-00691-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/b7e0f0c35ecf/membranes-11-00691-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/9b947265e12a/membranes-11-00691-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/8fedfce640f9/membranes-11-00691-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/50a1f2cd5a35/membranes-11-00691-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb0/8466202/9c6a9dd737af/membranes-11-00691-g009.jpg

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本文引用的文献

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