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Degradations analysis and aging modeling for health assessment and prognostics of PEMFC

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  1. Sutharssan, Thamo & Montalvao, Diogo & Chen, Yong Kang & Wang, Wen-Chung & Pisac, Claudia & Elemara, Hakim, 2017. "A review on prognostics and health monitoring of proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 440-450.
  2. Deng, Zhihua & Miao, Bin & Zhang, Lan & Liu, Qinglin & Pan, Zehua & Zhang, Weike & Ding, Ovi Lian & Tong, Sirui & Liu, Hao & Chan, Siew Hwa, 2025. "Accurate long-step degradation trends prediction and remaining useful life estimation for proton exchange membrane fuel cells," Renewable Energy, Elsevier, vol. 247(C).
  3. Zhang, Caizhi & Zhang, Yuqi & Wang, Lei & Deng, Xiaozhi & Liu, Yang & Zhang, Jiujun, 2023. "A health management review of proton exchange membrane fuel cell for electric vehicles: Failure mechanisms, diagnosis techniques and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
  4. Jouin, Marine & Bressel, Mathieu & Morando, Simon & Gouriveau, Rafael & Hissel, Daniel & Péra, Marie-Cécile & Zerhouni, Noureddine & Jemei, Samir & Hilairet, Mickael & Ould Bouamama, Belkacem, 2016. "Estimating the end-of-life of PEM fuel cells: Guidelines and metrics," Applied Energy, Elsevier, vol. 177(C), pages 87-97.
  5. Xu, Danyang & Qiu, Haobo & Gao, Liang & Yang, Zan & Wang, Dapeng, 2022. "A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
  6. Zhang, Xuexia & Liao, Hongbo & Huang, Lei & Huang, Ruike & Lin, Long & Jiang, Yu & Liu, Wentao, 2025. "A double-stage process-impedance-assisted model to investigate the water behavior at the cathode triple phase boundary for degraded PEMFC," Renewable Energy, Elsevier, vol. 241(C).
  7. Zhang, Jingqi & Fouladirad, Mitra & Limnios, Nikolaos, 2025. "Sensitivity analysis of an imperfect maintenance policy for Proton-exchange membrane fuel cell based on geometric a semi-Markov model," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
  8. Pei, Pucheng & Chen, Dongfang & Wu, Ziyao & Ren, Peng, 2019. "Nonlinear methods for evaluating and online predicting the lifetime of fuel cells," Applied Energy, Elsevier, vol. 254(C).
  9. Huu Linh Nguyen & Jaesu Han & Hoang Nghia Vu & Sangseok Yu, 2022. "Investigation of Multiple Degradation Mechanisms of a Proton Exchange Membrane Fuel Cell under Dynamic Operation," Energies, MDPI, vol. 15(24), pages 1-21, December.
  10. Huang, Ruike & Zhang, Xuexia & Dong, Sidi & Huang, Lei & Li, Yuan, 2025. "Degradation prediction of PEM fuel cell using LSTM based on Gini gamma correlation coefficient and improved sand cat swarm optimization under dynamic operating conditions," Applied Energy, Elsevier, vol. 392(C).
  11. Li, Jianwei & Wang, Tianci & Yang, Qingqing & Tian, Zhonghao & Lv, Hong & Wang, Xuechao & Shen, Jun, 2025. "A safe region method to quantitatively evaluate the safety of fuel cell operating states," Applied Energy, Elsevier, vol. 377(PA).
  12. Sorrentino, Marco & Bruno, Marco & Trifirò, Alena & Rizzo, Gianfranco, 2019. "An innovative energy efficiency metric for data analytics and diagnostics in telecommunication applications," Applied Energy, Elsevier, vol. 242(C), pages 1539-1548.
  13. Antoine Bäumler & Jianwen Meng & Abdelmoudjib Benterki & Toufik Azib & Moussa Boukhnifer, 2023. "A System-Level Modeling of PEMFC Considering Degradation Aspect towards a Diagnosis Process," Energies, MDPI, vol. 16(14), pages 1-19, July.
  14. Huang, Ruike & Zhang, Xuexia & Dong, Sidi & Huang, Lei & Liao, Hongbo & Li, Yuan, 2024. "A refined grey Verhulst model for accurate degradation prognostication of PEM fuel cells based on inverse hyperbolic sine function transformation," Renewable Energy, Elsevier, vol. 237(PC).
  15. Yuan, Tao & Wu, Xinying & Bae, Suk Joo & Zhu, Xiaoyan, 2019. "Reliability assessment of a continuous-state fuel cell stack system with multiple degrading components," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 157-164.
  16. Chiachío, Manuel & Chiachío, Juan & Sankararaman, Shankar & Goebel, Kai & Andrews, John, 2017. "A new algorithm for prognostics using Subset Simulation," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 189-199.
  17. Zhang, Sen-Ju & Kang, Rui & Lin, Yan-Hui, 2021. "Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
  18. Huu-Linh Nguyen & Sang-Min Lee & Sangseok Yu, 2023. "A Comprehensive Review of Degradation Prediction Methods for an Automotive Proton Exchange Membrane Fuel Cell," Energies, MDPI, vol. 16(12), pages 1-32, June.
  19. Yu, Yulong & Zheng, Qiang & Zhang, Tianyi & Li, Zhengyan & Chen, Lei & Tao, Wen-Quan, 2025. "Forecasting the output performance of PEMFCs via a novel deep learning framework considering varying operating conditions and time scales," Applied Energy, Elsevier, vol. 389(C).
  20. Zhang, Xuexia & Huang, Lei & Jiang, Yu & Lin, Long & Liao, Hongbo & Liu, Wentao, 2024. "Investigation of nonlinear accelerated degradation mechanism in fuel cell stack under dynamic driving cycles from polarization processes," Applied Energy, Elsevier, vol. 355(C).
  21. Li, Xiang & Ding, Qian & Sun, Jian-Qiao, 2018. "Remaining useful life estimation in prognostics using deep convolution neural networks," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 1-11.
  22. Mezzi, Rania & Yousfi-Steiner, Nadia & Péra, Marie Cécile & Hissel, Daniel & Larger, Laurent, 2021. "An Echo State Network for fuel cell lifetime prediction under a dynamic micro-cogeneration load profile," Applied Energy, Elsevier, vol. 283(C).
  23. Dharmjeet Madhav & Junru Wang & Rajesh Keloth & Jorben Mus & Frank Buysschaert & Veerle Vandeginste, 2024. "A Review of Proton Exchange Membrane Degradation Pathways, Mechanisms, and Mitigation Strategies in a Fuel Cell," Energies, MDPI, vol. 17(5), pages 1-27, February.
  24. Zhang, Fan & Ni, Meng & Tai, Shupeng & Zu, Bingfeng & Xi, Fuqiang & Shen, Yangyang & Wang, Bowen & Qin, Zhikun & Wang, Rongxuan & Guo, Ting & Jiao, Kui, 2025. "Machine learning assisted health status analysis and degradation prediction of aging proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 384(C).
  25. Huu Linh Nguyen & Jeasu Han & Xuan Linh Nguyen & Sangseok Yu & Young-Mo Goo & Duc Dung Le, 2021. "Review of the Durability of Polymer Electrolyte Membrane Fuel Cell in Long-Term Operation: Main Influencing Parameters and Testing Protocols," Energies, MDPI, vol. 14(13), pages 1-34, July.
  26. Tiancai Ma & Jianmiao Xu & Ruitao Li & Naiyuan Yao & Yanbo Yang, 2021. "Online Short-Term Remaining Useful Life Prediction of Fuel Cell Vehicles Based on Cloud System," Energies, MDPI, vol. 14(10), pages 1-17, May.
  27. Liu, Ze & Xu, Sichuan & Zhao, Honghui & Wang, Yupeng, 2022. "Durability estimation and short-term voltage degradation forecasting of vehicle PEMFC system: Development and evaluation of machine learning models," Applied Energy, Elsevier, vol. 326(C).
  28. Xiaojie Ke & Zhengguo Xu & Wenhai Wang & Youxian Sun, 2017. "Remaining useful life prediction for non-stationary degradation processes with shocks," Journal of Risk and Reliability, , vol. 231(5), pages 469-480, October.
  29. Chen, Kui & Laghrouche, Salah & Djerdir, Abdesslem, 2021. "Prognosis of fuel cell degradation under different applications using wavelet analysis and nonlinear autoregressive exogenous neural network," Renewable Energy, Elsevier, vol. 179(C), pages 802-814.
  30. Hu, Yang & Miao, Xuewen & Si, Yong & Pan, Ershun & Zio, Enrico, 2022. "Prognostics and health management: A review from the perspectives of design, development and decision," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
  31. Fan, Zihan & Chen, Yongyi & Liu, Xuezhen & Zhang, Dan, 2025. "A two-stage subdomain adaptation network for machinery remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 264(PB).
  32. Li, Xiang & Zhang, Wei & Ding, Qian, 2019. "Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 208-218.
  33. Zuo, Jian & Lv, Hong & Zhou, Daming & Xue, Qiong & Jin, Liming & Zhou, Wei & Yang, Daijun & Zhang, Cunman, 2021. "Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application," Applied Energy, Elsevier, vol. 281(C).
  34. Yue, Meiling & Jemei, Samir & Zerhouni, Noureddine & Gouriveau, Rafael, 2021. "Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives," Renewable Energy, Elsevier, vol. 179(C), pages 2277-2294.
  35. Chu, Tiankuo & Zhang, Ruofan & Wang, Yanbo & Ou, Mingyang & Xie, Meng & Shao, Hangyu & Yang, Daijun & Li, Bing & Ming, Pingwen & Zhang, Cunman, 2021. "Performance degradation and process engineering of the 10 kW proton exchange membrane fuel cell stack," Energy, Elsevier, vol. 219(C).
  36. Khorasgani, Hamed & Biswas, Gautam & Sankararaman, Shankar, 2016. "Methodologies for system-level remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 8-18.
  37. Deng, Huiwen & Hu, Weihao & Cao, Di & Chen, Weirong & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2022. "Degradation trajectories prognosis for PEM fuel cell systems based on Gaussian process regression," Energy, Elsevier, vol. 244(PA).
  38. Cai, Weiqiang & Zhou, Ruidong & Wang, Chenxia & Xie, Chao & Xiao, Liusheng & Zhang, Zhonggang & Yang, Chao & Yuan, Jinliang, 2025. "On characteristics and research development of coupled fuel cell stack performance and stress," Applied Energy, Elsevier, vol. 388(C).
  39. Xiao, Yan & Zheng, Weibo & Wang, Jue & Li, Bing & Ming, Pingwen & Zhang, Cunman, 2025. "Degradation behavior of ionomer in the cathode catalyst layer of polymer electrolyte fuel cells," Applied Energy, Elsevier, vol. 389(C).
  40. Song, Ke & Wang, Yimin & Ding, Yuhang & Xu, Hongjie & Mueller-Welt, Philip & Stuermlinger, Tobias & Bause, Katharina & Ehrmann, Christopher & Weinmann, Hannes W. & Schaefer, Jens & Fleischer, Juergen , 2022. "Assembly techniques for proton exchange membrane fuel cell stack: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
  41. Hong, Ruidong & Nie, Songlin & Ji, Hui & Ma, Zhonghai, 2025. "Physics-informed machine learning for high-speed on/off valve performance degradation prediction in water hydraulic manipulator," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
  42. Zhang, Tian & Hou, Zhengmeng & Li, Xiaoqin & Chen, Qianjun & Wang, Qichen & Lüddeke, Christian & Wu, Lin & Wu, Xuning & Sun, Wei, 2025. "A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network," Applied Energy, Elsevier, vol. 385(C).
  43. Vasilyev, A. & Andrews, J. & Dunnett, S.J. & Jackson, L.M., 2021. "Dynamic Reliability Assessment of PEM Fuel Cell Systems," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
  44. Hou, Yanzhu & Yin, Cong & Sheng, Xia & Xu, Dechao & Chen, Junxiong & Tang, Hao, 2025. "Automotive fuel cell performance degradation prediction using Multi-Agent Cooperative Advantage Actor-Critic model," Energy, Elsevier, vol. 318(C).
  45. Víctor Sanz i López & Ramon Costa-Castelló & Carles Batlle, 2022. "Literature Review of Energy Management in Combined Heat and Power Systems Based on High-Temperature Proton Exchange Membrane Fuel Cells for Residential Comfort Applications," Energies, MDPI, vol. 15(17), pages 1-22, September.
  46. Wang, Chu & Li, Zhongliang & Outbib, Rachid & Dou, Manfeng & Zhao, Dongdong, 2022. "Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 305(C).
  47. Zhuang, Jichao & Jia, Minping & Cao, Yudong & Zhao, Xiaoli, 2022. "Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
  48. Zhu, Li & Chen, Junghui, 2018. "Prognostics of PEM fuel cells based on Gaussian process state space models," Energy, Elsevier, vol. 149(C), pages 63-73.
  49. Qiang Liu & Weihong Zang & Wentao Zhang & Yang Zhang & Yuqi Tong & Yanbiao Feng, 2025. "Steady-State Model Enabled Dynamic PEMFC Performance Degradation Prediction via Recurrent Neural Network," Energies, MDPI, vol. 18(10), pages 1-20, May.
  50. Dan Wang & Haitao Min & Honghui Zhao & Weiyi Sun & Bin Zeng & Qun Ma, 2024. "A Data-Driven Prediction Method for Proton Exchange Membrane Fuel Cell Degradation," Energies, MDPI, vol. 17(4), pages 1-17, February.
  51. Kim, Hyeonmin & Kim, Jung Taek & Heo, Gyunyoung, 2018. "Failure rate updates using condition-based prognostics in probabilistic safety assessments," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 225-233.
  52. Costa, Nahuel & Sánchez, Luciano, 2022. "Variational encoding approach for interpretable assessment of remaining useful life estimation," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
  53. Cao, Yudong & Ding, Yifei & Jia, Minping & Tian, Rushuai, 2021. "A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
  54. Ding, Yifei & Jia, Minping & Miao, Qiuhua & Huang, Peng, 2021. "Remaining useful life estimation using deep metric transfer learning for kernel regression," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
  55. Yue, Meiling & Lambert, Hugo & Pahon, Elodie & Roche, Robin & Jemei, Samir & Hissel, Daniel, 2021. "Hydrogen energy systems: A critical review of technologies, applications, trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
  56. Lorenzo, Charles & Bouquain, David & Hibon, Samuel & Hissel, Daniel, 2021. "Synthesis of degradation mechanisms and of their impacts on degradation rates on proton-exchange membrane fuel cells and lithium-ion nickel–manganese–cobalt batteries in hybrid transport applicati," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
  57. Zhao, Zeqi & Bin Liang, & Wang, Xueqian & Lu, Weining, 2017. "Remaining useful life prediction of aircraft engine based on degradation pattern learning," Reliability Engineering and System Safety, Elsevier, vol. 164(C), pages 74-83.
  58. Liu, Hao & Chen, Jian & Hissel, Daniel & Lu, Jianguo & Hou, Ming & Shao, Zhigang, 2020. "Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
  59. Chen, Kui & Badji, Abderrezak & Laghrouche, Salah & Djerdir, Abdesslem, 2022. "Polymer electrolyte membrane fuel cells degradation prediction using multi-kernel relevance vector regression and whale optimization algorithm," Applied Energy, Elsevier, vol. 318(C).
  60. Stropnik, R. & Sekavčnik, M. & Ferriz, A.M. & Mori, M., 2018. "Reducing environmental impacts of the ups system based on PEM fuel cell with circular economy," Energy, Elsevier, vol. 165(PB), pages 824-835.
  61. Ahmed G. Abokhalil & Mohammad Alobaid & Ahmed Al Makky, 2023. "Innovative Approaches to Enhance the Performance and Durability of Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 16(14), pages 1-13, July.
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