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Fuel Cell Performance Degradation Prediction Method Based on Hybrid Probabilistic Data-driven Model
Renewables and Energy Storage | 更新时间：2026-02-06

    • Fuel Cell Performance Degradation Prediction Method Based on Hybrid Probabilistic Data-driven Model

    • “This paper introduces the research progress in predicting the performance degradation of fuel cells, and relevant experts propose a data-driven model based on mixed probability, providing a new solution to the problem of insufficient reliability of prediction results.”
    • Proceedings of the CSEE   Vol. 45, Issue 10, Pages: 3892-3901(2025)

    • DOI：10.13334/j.0258-8013.pcsee.232064    

      CLC： TM911

    • Received：25 September 2023，

      Online First：15 July 2024，

      Published：20 May 2025

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  • Bingxin GUO, Changjun XIE, Wenchao ZHU, et al. Fuel Cell Performance Degradation Prediction Method Based on Hybrid Probabilistic Data-driven Model[J]. Proceedings of the CSEE, 2025, 45(10): 3892-3901. DOI： 10.13334/j.0258-8013.pcsee.232064.

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