{"title":"Enhanced simulated annealing algorithm for 3D reconstruction of cathode catalyst layers in proton exchange membrane fuel cell","authors":"Yuan Gao, Jida Men, Chaogang Chen","doi":"10.1016/j.jpowsour.2024.234935","DOIUrl":null,"url":null,"abstract":"<div><p>Optimizing the pore structure of the cathode catalyst layer of proton exchange membrane fuel cells (PEMFC) is crucial for improving oxygen transport and overall cell performance. In this paper, the simulated annealing (SA) algorithm was improved to iteratively optimize the catalyst layer reconstruction model, improve the algorithm's computational efficiency, and construct a model with physical properties close to the pore structure of the actual catalyst layer. The phase exchange process during the computation is performed using an improved Different Phase Neighbors (DPN) algorithm, which prioritizes the nodes with significant phase differences for phase exchange and improves the efficiency of generating candidate solutions. The Hierarchical Annealing Strategy accelerated convergence, reducing computational complexity without compromising accuracy. Comparative analyses of pore size distributions and performance evaluations between the reconstructed models and the actual CL structures confirmed the model's effectiveness and accuracy.</p></div>","PeriodicalId":377,"journal":{"name":"Journal of Power Sources","volume":null,"pages":null},"PeriodicalIF":8.1000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Power Sources","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378775324008875","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Optimizing the pore structure of the cathode catalyst layer of proton exchange membrane fuel cells (PEMFC) is crucial for improving oxygen transport and overall cell performance. In this paper, the simulated annealing (SA) algorithm was improved to iteratively optimize the catalyst layer reconstruction model, improve the algorithm's computational efficiency, and construct a model with physical properties close to the pore structure of the actual catalyst layer. The phase exchange process during the computation is performed using an improved Different Phase Neighbors (DPN) algorithm, which prioritizes the nodes with significant phase differences for phase exchange and improves the efficiency of generating candidate solutions. The Hierarchical Annealing Strategy accelerated convergence, reducing computational complexity without compromising accuracy. Comparative analyses of pore size distributions and performance evaluations between the reconstructed models and the actual CL structures confirmed the model's effectiveness and accuracy.
期刊介绍:
The Journal of Power Sources is a publication catering to researchers and technologists interested in various aspects of the science, technology, and applications of electrochemical power sources. It covers original research and reviews on primary and secondary batteries, fuel cells, supercapacitors, and photo-electrochemical cells.
Topics considered include the research, development and applications of nanomaterials and novel componentry for these devices. Examples of applications of these electrochemical power sources include:
• Portable electronics
• Electric and Hybrid Electric Vehicles
• Uninterruptible Power Supply (UPS) systems
• Storage of renewable energy
• Satellites and deep space probes
• Boats and ships, drones and aircrafts
• Wearable energy storage systems