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International Journal of Green Energy Volume 18, 2021 - Issue 14
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Research Article

A quick evaluation method for the lifetime of the fuel cell MEA with the particle filter algorithm

Luyan Hea Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaORCID Iconhttps://orcid.org/0000-0002-6902-5981View further author information
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Zhigang Zhana Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, China;c School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaCorrespondence[email protected]
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Hong Chena Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Panxing Jianga Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, China;c School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Yuan Yua Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Xiaoxiang Yanga Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Yahao Suna Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Xiongbiao Wana Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Liwen Liaoa Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Shang Lia Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Mu Pana Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu hydrogen Valley, Foshan, 528200, P.R.China;b State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070, ChinaView further author information
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Pages 1536-1549 | Received 12 Jan 2021, Accepted 27 Mar 2021, Published online: 10 May 2021

Citations (4)

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Read on this site (1)

Jiale Luo, Tao Chen, Fei Xiao & Yulin Peng. (2023) Remaining useful life prediction of PEMFC based on CNN-Birnn model. International Journal of Green Energy 0:0, pages 1-12.
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Articles from other publishers (3)

Aihua Tang, Yuanhang Yang, Quanqing Yu, Zhigang Zhang & Lin Yang. (2022) A Review of Life Prediction Methods for PEMFCs in Electric Vehicles. Sustainability 14:16, pages 9842.
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Hong Chen, Zhigang Zhan, Panxing Jiang, Yahao Sun, Liwen Liao, Xiongbiao Wan, Qing Du, Xiaosong Chen, Hao Song, Ruijie Zhu, Zhanhong Shu, Shang Li & Mu Pan. (2022) Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA. Applied Energy 310, pages 118556.
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Zijun Yang, Bowen Wang, Xia Sheng, Yupeng Wang, Qiang Ren, Shaoqing He, Jin Xuan & Kui Jiao. (2021) An Artificial Intelligence Solution for Predicting Short-Term Degradation Behaviors of Proton Exchange Membrane Fuel Cell. Applied Sciences 11:14, pages 6348.
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