IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v255y2022ics0360544222014268.html
   My bibliography  Save this article

Novel extraction method of working condition spectrum for the lifetime prediction and energy management strategy evaluation of automotive fuel cells

Author

Listed:
  • Chen, Dongfang
  • Pei, Pucheng
  • Meng, Yining
  • Ren, Peng
  • Li, Yuehua
  • Wang, Mingkai
  • Wang, Xizhong

Abstract

Lifetime is a major bottleneck for the commercialization of fuel cells. A quick evaluating method for fuel cell lifetime can assist in immediately assessing technology progress, predicting lifetime in real-time, and extending durability. Among the existing methods, the lifetime prediction method based on working conditions is a cost-effective, time-saving, and realistic method. However, there are no methods and clear standards for extracting the time and frequency of working conditions in test protocols used in this method. In this study, the working condition spectrum extraction method is proposed and used to extract the working condition spectra of commonly used durability test protocols. The lifetime prediction of fuel cells operating under different specific test protocols based on the working condition spectrum extraction method is performed and verified to demonstrate its reliability. Furthermore, the proposed method is used to extract the working condition spectra and predict the lifetime of fuel cells in hybrid power systems with different energy management strategies (EMSs). The results show that the extraction method can provide an evaluation method for developing EMSs of fuel cell hybrid power systems from the lifetime perspective, which is useful for fuel cell durability research.

Suggested Citation

  • Chen, Dongfang & Pei, Pucheng & Meng, Yining & Ren, Peng & Li, Yuehua & Wang, Mingkai & Wang, Xizhong, 2022. "Novel extraction method of working condition spectrum for the lifetime prediction and energy management strategy evaluation of automotive fuel cells," Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:energy:v:255:y:2022:i:c:s0360544222014268
    DOI: 10.1016/j.energy.2022.124523
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222014268
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124523?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Ren, Peng & Pei, Pucheng & Chen, Dongfang & Li, Yuehua & Wu, Ziyao & Zhang, Lu & Li, Zizhao & Wang, Mingkai & Wang, He & Wang, Bozheng & Wang, Xizhong, 2022. "Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation," Applied Energy, Elsevier, vol. 306(PB).
    3. Kim, Jintae & Kim, Minjin & Kang, Taegon & Sohn, Young-Jun & Song, Taewon & Choi, Kyoung Hwan, 2014. "Degradation modeling and operational optimization for improving the lifetime of high-temperature PEM (proton exchange membrane) fuel cells," Energy, Elsevier, vol. 66(C), pages 41-49.
    4. Chen, Huicui & Pei, Pucheng & Song, Mancun, 2015. "Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells," Applied Energy, Elsevier, vol. 142(C), pages 154-163.
    5. Qi, Chunyang & Song, Chuanxue & Xiao, Feng & Song, Shixin, 2022. "Generalization ability of hybrid electric vehicle energy management strategy based on reinforcement learning method," Energy, Elsevier, vol. 250(C).
    6. Ijaodola, O.S. & El- Hassan, Zaki & Ogungbemi, E. & Khatib, F.N. & Wilberforce, Tabbi & Thompson, James & Olabi, A.G., 2019. "Energy efficiency improvements by investigating the water flooding management on proton exchange membrane fuel cell (PEMFC)," Energy, Elsevier, vol. 179(C), pages 246-267.
    7. Duan, Hao & Zhang, Caizhi & Wang, Gucheng & Chen, Yu'an & Liu, Zhixiang & Xie, Xianshu & Shuai, Qi, 2022. "Experimental study of the dynamic and transient characteristics of sub-health fuel cell multi-stack systems without DC/DC," Energy, Elsevier, vol. 238(PC).
    8. Chu, Tiankuo & Xie, Meng & Yu, Yue & Wang, Baoyun & Yang, Daijun & Li, Bing & Ming, Pingwen & Zhang, Cunman, 2022. "Experimental study of the influence of dynamic load cycle and operating parameters on the durability of PEMFC," Energy, Elsevier, vol. 239(PD).
    9. Chen, Huicui & Liu, Zhao & Ye, Xichen & Yi, Liu & Xu, Sichen & Zhang, Tong, 2022. "Air flow and pressure optimization for air supply in proton exchange membrane fuel cell system," Energy, Elsevier, vol. 238(PC).
    10. Chen, Huicui & Liu, Biao & Zhang, Tong & Pei, Pucheng, 2019. "Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions," Applied Energy, Elsevier, vol. 255(C).
    11. Hsieh, Chuang-Yu & Pei, Pucheng & Bai, Qiang & Su, Ay & Weng, Fang-Bor & Lee, Chi-Yuan, 2021. "Results of a 200 hours lifetime test of a 7 kW Hybrid–Power fuel cell system on electric forklifts," Energy, Elsevier, vol. 214(C).
    12. Chen, Qin & Zhang, Guobin & Zhang, Xuzhong & Sun, Cheng & Jiao, Kui & Wang, Yun, 2021. "Thermal management of polymer electrolyte membrane fuel cells: A review of cooling methods, material properties, and durability," Applied Energy, Elsevier, vol. 286(C).
    13. Zeng, Tao & Zhang, Caizhi & Zhou, Anjian & Wu, Qi & Deng, Chenghao & Chan, Siew Hwa & Chen, Jinrui & Foley, Aoife M., 2021. "Enhancing reactant mass transfer inside fuel cells to improve dynamic performance via intelligent hydrogen pressure control," Energy, Elsevier, vol. 230(C).
    14. Chen, Huicui & Song, Zhen & Zhao, Xin & Zhang, Tong & Pei, Pucheng & Liang, Chen, 2018. "A review of durability test protocols of the proton exchange membrane fuel cells for vehicle," Applied Energy, Elsevier, vol. 224(C), pages 289-299.
    15. Liu, Zhao & Chen, Huicui & Peng, Lian & Ye, Xichen & Xu, Sichen & Zhang, Tong, 2022. "Feedforward-decoupled closed-loop fuzzy proportion-integral-derivative control of air supply system of proton exchange membrane fuel cell," Energy, Elsevier, vol. 240(C).
    16. Peng, Fei & Zhao, Yuanzhe & Li, Xiaopeng & Liu, Zhixiang & Chen, Weirong & Liu, Yang & Zhou, Donghua, 2017. "Development of master-slave energy management strategy based on fuzzy logic hysteresis state machine and differential power processing compensation for a PEMFC-LIB-SC hybrid tramway," Applied Energy, Elsevier, vol. 206(C), pages 346-363.
    17. Zeng, Tao & Zhang, Caizhi & Hao, Dong & Cao, Dongpu & Chen, Jiawei & Chen, Jinrui & Li, Jin, 2020. "Data-driven approach for short-term power demand prediction of fuel cell hybrid vehicles," Energy, Elsevier, vol. 208(C).
    18. Meng, Kai & Chen, Ben & Zhou, Haoran & Shen, Jun & Shen, Zuguo & Tu, Zhengkai, 2022. "Investigation on degradation mechanism of hydrogen–oxygen proton exchange membrane fuel cell under current cyclic loading," Energy, Elsevier, vol. 242(C).
    19. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
    20. Qi, Chunyang & Zhu, Yiwen & Song, Chuanxue & Yan, Guangfu & Xiao, Feng & Da wang, & Zhang, Xu & Cao, Jingwei & Song, Shixin, 2022. "Hierarchical reinforcement learning based energy management strategy for hybrid electric vehicle," Energy, Elsevier, vol. 238(PA).
    21. Zeng, Tao & Zhang, Caizhi & Zhang, Yanyi & Deng, Chenghao & Hao, Dong & Zhu, Zhongwen & Ran, Hongxu & Cao, Dongpu, 2021. "Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle," Energy, Elsevier, vol. 227(C).
    22. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2020. "Life-cycle energy consumption and greenhouse-gas emissions of hydrogen supply chains for fuel-cell vehicles in China," Energy, Elsevier, vol. 209(C).
    23. 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).
    24. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
    25. Hsu, Chun-Ying & Weng, Fang-Bor & Su, Ay & Wang, Chao-Yang & Hussaini, Irfan Saif & Feng, Teng-Lang, 2009. "Transient phenomenon of step switching for current or voltage in PEMFC," Renewable Energy, Elsevier, vol. 34(8), pages 1979-1985.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ruifeng Guo & Dongfang Chen & Yuehua Li & Wenlong Wu & Song Hu & Xiaoming Xu, 2023. "Anode Nitrogen Concentration Estimation Based on Voltage Variation Characteristics for Proton Exchange Membrane Fuel Cell Stacks," Energies, MDPI, vol. 16(5), pages 1-16, February.
    2. Pei, Pucheng & Meng, Yining & Chen, Dongfang & Ren, Peng & Wang, Mingkai & Wang, Xizhong, 2023. "Lifetime prediction method of proton exchange membrane fuel cells based on current degradation law," Energy, Elsevier, vol. 265(C).
    3. Zhou, Yu & Chen, Ben & Chen, Wenshang & Deng, Qihao & Shen, Jun & Tu, Zhengkai, 2022. "A novel opposite sinusoidal wave flow channel for performance enhancement of proton exchange membrane fuel cell," Energy, Elsevier, vol. 261(PB).
    4. Fan Yang & Xiaoming Xu & Yuehua Li & Dongfang Chen & Song Hu & Ziwen He & Yi Du, 2023. "A Review on Mass Transfer in Multiscale Porous Media in Proton Exchange Membrane Fuel Cells: Mechanism, Modeling, and Parameter Identification," Energies, MDPI, vol. 16(8), pages 1-24, April.
    5. Zou, Weitao & Li, Jianwei & Yang, Qingqing & Wan, Xinming & He, Yuntang & Lan, Hao, 2023. "A real-time energy management approach with fuel cell and battery competition-synergy control for the fuel cell vehicle," Applied Energy, Elsevier, vol. 334(C).
    6. Rahmani, Ebrahim & Moradi, Tofigh & Ghandehariun, Samane & Naterer, Greg F. & Ranjbar, Amirhossein, 2023. "Enhanced mass transfer and water discharge in a proton exchange membrane fuel cell with a raccoon channel flow field," Energy, Elsevier, vol. 264(C).
    7. Chen, Dongfang & Pei, Pucheng & Ren, Peng & Song, Xin & Wang, He & Zhang, Lu & Wang, Mingkai, 2022. "Analytical methods for the effect of anode nitrogen concentration on performance and voltage consistency of proton exchange membrane fuel cell stack," Energy, Elsevier, vol. 258(C).
    8. Dan Wang & Haitao Min & Weiyi Sun & Bin Zeng & Haiwen Wu, 2023. "Durability Study of Frequent Dry–Wet Cycle on Proton Exchange Membrane Fuel Cell," Energies, MDPI, vol. 16(11), pages 1-10, May.
    9. Zhao, Lei & Yuan, Hao & Xie, Jiaping & Jiang, Shangfeng & Wei, Xuezhe & Tang, Wei & Ming, Pingwen & Dai, Haifeng, 2023. "Inconsistency evaluation of vehicle-oriented fuel cell stacks based on electrochemical impedance under dynamic operating conditions," Energy, Elsevier, vol. 265(C).
    10. Quan, Shengwei & He, Hongwen & Chen, Jinzhou & Zhang, Zhendong & Han, Ruoyan & Wang, Ya-Xiong, 2023. "Health-aware model predictive energy management for fuel cell electric vehicle based on hybrid modeling method," Energy, Elsevier, vol. 278(PA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pei, Pucheng & Meng, Yining & Chen, Dongfang & Ren, Peng & Wang, Mingkai & Wang, Xizhong, 2023. "Lifetime prediction method of proton exchange membrane fuel cells based on current degradation law," Energy, Elsevier, vol. 265(C).
    2. Meng, Kai & Chen, Ben & Zhou, Haoran & Shen, Jun & Shen, Zuguo & Tu, Zhengkai, 2022. "Investigation on degradation mechanism of hydrogen–oxygen proton exchange membrane fuel cell under current cyclic loading," Energy, Elsevier, vol. 242(C).
    3. Ren, Peng & Meng, Yining & Pei, Pucheng & Fu, Xi & Chen, Dongfang & Li, Yuehua & Zhu, Zijing & Zhang, Lu & Wang, Mingkai, 2023. "Rapid synchronous state-of-health diagnosis of membrane electrode assemblies in fuel cell stacks," Applied Energy, Elsevier, vol. 330(PA).
    4. Chen, Hong & Zhan, Zhigang & Jiang, Panxing & Sun, Yahao & Liao, Liwen & Wan, Xiongbiao & Du, Qing & Chen, Xiaosong & Song, Hao & Zhu, Ruijie & Shu, Zhanhong & Li, Shang & Pan, Mu, 2022. "Whole life cycle performance degradation test and RUL prediction research of fuel cell MEA," Applied Energy, Elsevier, vol. 310(C).
    5. 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).
    6. Chu, Tiankuo & Xie, Meng & Yu, Yue & Wang, Baoyun & Yang, Daijun & Li, Bing & Ming, Pingwen & Zhang, Cunman, 2022. "Experimental study of the influence of dynamic load cycle and operating parameters on the durability of PEMFC," Energy, Elsevier, vol. 239(PD).
    7. Zhang, Xiaojie & Zhang, Tong & Chen, Huicui & Cao, Yinliang, 2021. "A review of online electrochemical diagnostic methods of on-board proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 286(C).
    8. Zhao, Lei & Yuan, Hao & Xie, Jiaping & Jiang, Shangfeng & Wei, Xuezhe & Tang, Wei & Ming, Pingwen & Dai, Haifeng, 2023. "Inconsistency evaluation of vehicle-oriented fuel cell stacks based on electrochemical impedance under dynamic operating conditions," Energy, Elsevier, vol. 265(C).
    9. Song, Yajie & Wang, Xinli & Wang, Lei & Pan, Fengwen & Chen, Wenmiao & Xi, Fuqiang, 2021. "A twin-nozzle ejector for hydrogen recirculation in wide power operation of polymer electrolyte membrane fuel cell system," Applied Energy, Elsevier, vol. 300(C).
    10. 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).
    11. Li, Haolong & Chen, Qihong & Zhang, Liyan & Liu, Li & Xiao, Peng, 2023. "Degradation prediction of proton exchange membrane fuel cell based on the multi-inputs Bi-directional long short-term memory," Applied Energy, Elsevier, vol. 344(C).
    12. Vu, Hoang Nghia & Truong Le Tri, Dat & Nguyen, Huu Linh & Kim, Younghyeon & Yu, Sangseok, 2023. "Multifunctional bypass valve for water management and surge protection in a proton-exchange membrane fuel cell supply-air system," Energy, Elsevier, vol. 278(C).
    13. Guan, Dong & Pan, Biyu & Chen, Zhen & Li, Jing & Shen, Hui & Pang, Huan, 2023. "Quantitative modeling and bio-inspired optimization the clamping load on the bipolar plate in PEMFC," Energy, Elsevier, vol. 263(PD).
    14. Badji, Abderrezak & Abdeslam, Djaffar Ould & Chabane, Djafar & Benamrouche, Nacereddine, 2022. "Real-time implementation of improved power frequency approach based energy management of fuel cell electric vehicle considering storage limitations," Energy, Elsevier, vol. 249(C).
    15. Chen, Huicui & Zhang, Ruirui & Xia, Zhifeng & Weng, Qianyao & Zhang, Tong & Pei, Pucheng, 2023. "Experimental investigation on PEM fuel cell flooding mitigation under heavy loading condition," Applied Energy, Elsevier, vol. 349(C).
    16. Ke Song & Yimin Wang & Xiao Hu & Jing Cao, 2020. "Online Prediction of Vehicular Fuel Cell Residual Lifetime Based on Adaptive Extended Kalman Filter," Energies, MDPI, vol. 13(23), pages 1-21, November.
    17. Pei, Pucheng & Ren, Peng & Li, Yuehua & Wu, Ziyao & Chen, Dongfang & Huang, Shangwei & Jia, Xiaoning, 2019. "Numerical studies on wide-operating-range ejector based on anodic pressure drop characteristics in proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 235(C), pages 729-738.
    18. Zhou, Yu & Chen, Ben & Chen, Wenshang & Deng, Qihao & Shen, Jun & Tu, Zhengkai, 2022. "A novel opposite sinusoidal wave flow channel for performance enhancement of proton exchange membrane fuel cell," Energy, Elsevier, vol. 261(PB).
    19. Zhang, Caizhi & Zeng, Tao & Wu, Qi & Deng, Chenghao & Chan, Siew Hwa & Liu, Zhixiang, 2021. "Improved efficiency maximization strategy for vehicular dual-stack fuel cell system considering load state of sub-stacks through predictive soft-loading," Renewable Energy, Elsevier, vol. 179(C), pages 929-944.
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:255:y:2022:i:c:s0360544222014268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.