IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v263y2023ipds0360544222026767.html
   My bibliography  Save this article

Model-based observer for direct methanol fuel cell concentration estimation by using second-order sliding-mode algorithm

Author

Listed:
  • Chen, Fengxiang
  • Chi, Xuncheng
  • Wei, Wei
  • Mo, Tiande
  • Li, Yu

Abstract

Accurate estimation of the real-time methanol concentration of direct methanol fuel cell (DMFC) stack is a key technique for its feedback control and optimization. However, existing data-based methods as well as voltage fluctuation methods require a large amount of data to estimate methanol concentration, which increases the burden of embedded systems. What needs to be concerned is the methanol concentration inside the stack, because it directly affects its output power, while the existing research pay more attention to the methanol supplied concentration. To this end, a model-based observer based on second-order sliding-mode (SOSM) algorithm, is proposed to estimate the real-time methanol concentration inside DMFC stack utilizing the easily measured signals, such as DMFC stack voltage, current, and temperature. To validate the proposed method, the simulation comparisons between proposed SOSM observer and existing first-order sliding-mode (FOSM), extend Kalman filter (EKF) observer were carried out under certain operation conditions. Further, experimental verifications were implemented by using a real commercial DMFC system data to verify the performance of proposed approach. The comprehensive results demonstrates that proposed SOSM observer could estimate DMFC methanal concentration with robustness and accuracy.

Suggested Citation

  • Chen, Fengxiang & Chi, Xuncheng & Wei, Wei & Mo, Tiande & Li, Yu, 2023. "Model-based observer for direct methanol fuel cell concentration estimation by using second-order sliding-mode algorithm," Energy, Elsevier, vol. 263(PD).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222026767
    DOI: 10.1016/j.energy.2022.125790
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222026767
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125790?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. Fang, Shuo & Zhang, Yufeng & Ma, Zezhong & Sang, Shengtian & Liu, Xiaowei, 2016. "Systemic modeling and analysis of DMFC stack for behavior prediction in system-level application," Energy, Elsevier, vol. 112(C), pages 1015-1023.
    2. Jiao, Jieran & Chen, Fengxiang, 2022. "Humidity estimation of vehicle proton exchange membrane fuel cell under variable operating temperature based on adaptive sliding mode observation," Applied Energy, Elsevier, vol. 313(C).
    3. An, Myung-Gi & Mehmood, Asad & Ha, Heung Yong, 2014. "Sensor-less control of the methanol concentration of direct methanol fuel cells at varying ambient temperatures," Applied Energy, Elsevier, vol. 129(C), pages 104-111.
    4. An, Myung-Gi & Mehmood, Asad & Ha, Heung Yong, 2014. "A sensor-less methanol concentration control system based on feedback from the stack temperature," Applied Energy, Elsevier, vol. 131(C), pages 257-266.
    5. An, Myung-Gi & Mehmood, Asad & Hwang, Jinyeon & Ha, Heung Yong, 2016. "A novel method of methanol concentration control through feedback of the amplitudes of output voltage fluctuations for direct methanol fuel cells," Energy, Elsevier, vol. 100(C), pages 217-226.
    6. Ismail, A. & Kamarudin, S.K. & Daud, W.R.W. & Masdar, S. & Hasran, U.A., 2018. "Development of 2D multiphase non-isothermal mass transfer model for DMFC system," Energy, Elsevier, vol. 152(C), pages 263-276.
    7. Xu, Liangfei & Hu, Zunyan & Fang, Chuan & Li, Jianqiu & Hong, Po & Jiang, Hongliang & Guo, Di & Ouyang, Minggao, 2021. "Anode state observation of polymer electrolyte membrane fuel cell based on unscented Kalman filter and relative humidity sensor before flooding," Renewable Energy, Elsevier, vol. 168(C), pages 1294-1307.
    8. Yang, Qinwen & Gao, Bin & Cheng, Qiang & Xiao, Gang & Meng, Min, 2022. "Adaptive control strategy for power output stability in long-time operation of fuel cells," Energy, Elsevier, vol. 238(PA).
    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. Chi, Xuncheng & Chen, Fengxiang & Mo, Tiande & Li, Yu & Wei, Wei, 2024. "Improve methanol efficiency for direct methanol fuel cell system via investigation and control of optimal operating methanol concentration," Energy, Elsevier, vol. 290(C).
    2. Li, Xuehan & Wang, Wei & Ye, Lingling & Ren, Guorui & Fang, Fang & Liu, Jizhen & Chen, Zhe & Zhou, Qiang, 2024. "Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design," Energy, Elsevier, vol. 300(C).

    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. Chi, Xuncheng & Chen, Fengxiang & Mo, Tiande & Li, Yu & Wei, Wei, 2024. "Improve methanol efficiency for direct methanol fuel cell system via investigation and control of optimal operating methanol concentration," Energy, Elsevier, vol. 290(C).
    2. Liu, Guicheng & Li, Xinyang & Wang, Hui & Liu, Xiuying & Chen, Ming & Woo, Jae Young & Kim, Ji Young & Wang, Xindong & Lee, Joong Kee, 2017. "Design of 3-electrode system for in situ monitoring direct methanol fuel cells during long-time running test at high temperature," Applied Energy, Elsevier, vol. 197(C), pages 163-168.
    3. Prapainainar, Paweena & Du, Zehui & Theampetch, Apichaya & Prapainainar, Chaiwat & Kongkachuichay, Paisan & Holmes, Stuart M., 2020. "Properties and DMFC performance of nafion/mordenite composite membrane fabricated by solution-casting method with different solvent ratio," Energy, Elsevier, vol. 190(C).
    4. An, Myung-Gi & Mehmood, Asad & Hwang, Jinyeon & Ha, Heung Yong, 2016. "A novel method of methanol concentration control through feedback of the amplitudes of output voltage fluctuations for direct methanol fuel cells," Energy, Elsevier, vol. 100(C), pages 217-226.
    5. Fang, Shuo & Song, Nan & Liu, Yuntao & Zhou, Chaoyang & Zhao, Chunhui & Wang, Yun, 2023. "Oscillator design for high efficiency DC-DC of micro direct methanol fuel cell," Energy, Elsevier, vol. 284(C).
    6. Fang, Shuo & Liu, Yuntao & Zhao, Chunhui & Huang, Lilian & Zhong, Zhi & Wang, Yun, 2021. "Polarization analysis of a micro direct methanol fuel cell stack based on Debye-Hückel ionic atmosphere theory," Energy, Elsevier, vol. 222(C).
    7. An, Myung-Gi & Mehmood, Asad & Ha, Heung Yong, 2014. "Sensor-less control of the methanol concentration of direct methanol fuel cells at varying ambient temperatures," Applied Energy, Elsevier, vol. 129(C), pages 104-111.
    8. Fang, Shuo & Zhang, Yufeng & Ma, Zezhong & Sang, Shengtian & Liu, Xiaowei, 2016. "Systemic modeling and analysis of DMFC stack for behavior prediction in system-level application," Energy, Elsevier, vol. 112(C), pages 1015-1023.
    9. Fang, Shuo & Song, Nan & Liu, Yuntao & Zhao, Chunhui & Wang, Ying, 2024. "Comprehensive energy conversion efficiency analysis of micro direct methanol fuel cell stack based on polarization theory," Energy, Elsevier, vol. 287(C).
    10. Haibo Huo & Jiajie Chen & Ke Wang & Fang Wang & Guangzhe Jin & Fengxiang Chen, 2023. "State Estimation of Membrane Water Content of PEMFC Based on GA-BP Neural Network," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    11. Yu, Bor-Chern & Wang, Yi-Chun & Lu, Hsin-Chun & Lin, Hsiu-Li & Shih, Chao-Ming & Kumar, S. Rajesh & Lue, Shingjiang Jessie, 2017. "Hydroxide-ion selective electrolytes based on a polybenzimidazole/graphene oxide composite membrane," Energy, Elsevier, vol. 134(C), pages 802-812.
    12. Pei, Yaowang & Chen, Fengxiang & Jiao, Jieran & Liu, Shiguang, 2024. "Analysis and control strategy design for PEMFC purging process," Energy, Elsevier, vol. 290(C).
    13. Zhang, Rongji & Cao, Jiamu & Wang, Weiqi & Zhou, Jing & Chen, Junyu & Chen, Liang & Chen, Weiping & Zhang, Yufeng, 2023. "An improved strategy of passive micro direct methanol fuel cell: Mass transport mechanism optimization dominated by a single hydrophilic layer," Energy, Elsevier, vol. 274(C).
    14. 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.
    15. Munjewar, Seema S. & Thombre, Shashikant B., 2019. "Effect of current collector roughness on performance of passive direct methanol fuel cell," Renewable Energy, Elsevier, vol. 138(C), pages 272-283.
    16. Xiao, Biao & Zhao, Junjie & Fan, Lixin & Liu, Yang & Chan, Siew Hwa & Tu, Zhengkai, 2022. "Effects of moisture dehumidification on the performance and degradation of a proton exchange membrane fuel cell," Energy, Elsevier, vol. 245(C).
    17. Yang, Qinwen & Xiao, Gang & Li, Lexi & Che, Mengjie & Hu, Xu-Qu & Meng, Min, 2021. "Collaborative design of multi-type parameters for design and operational stage matching in fuel cells," Renewable Energy, Elsevier, vol. 175(C), pages 1101-1110.
    18. Calabriso, Andrea & Borello, Domenico & Romano, Giovanni Paolo & Cedola, Luca & Del Zotto, Luca & Santori, Simone Giovanni, 2017. "Bubbly flow mapping in the anode channel of a direct methanol fuel cell via PIV investigation," Applied Energy, Elsevier, vol. 185(P2), pages 1245-1255.
    19. Fang, Shuo & Zhang, Yufeng & Ma, Zezhong & Zou, Yuezhang & Liu, Xiaowei, 2016. "Development of a micro direct methanol fuel cell with heat control," Energy, Elsevier, vol. 116(P1), pages 978-985.
    20. Lei, Gang & Zheng, Hualin & Zhang, Caizhi & Chen, Huicui & Chin, Cheng Siong & Xu, Xinhai, 2024. "Analyzing and modeling of CO purging for high-temperature proton exchange membrane fuel cells," Energy, Elsevier, vol. 302(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:263:y:2023:i:pd:s0360544222026767. 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.