Hydrogen consumption minimization method based on the online identification for multi-stack PEMFCs system |
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| Affiliation: | 1. School of Automotive Engineering, Wuhan University of Technology, Wuhan, 430070, China;2. School of Automation, Wuhan University of Technology, Wuhan, 430070, China;3. College of Science, Huazhong Agricultural University, Wuhan, 430070, China;4. Ningbo Institute of Technology, Zhejiang University, Ningbo, Zhejiang 315100, China;1. FEMTO-ST Institute, AS2M Department, Univ. Bourgogne Franche-Comté/UFC/CNRS/ENSMM/UTBM, 24 rue Alain Savary, 25000 Besancon, France;2. FEMTO-ST Institute, Energy Department, Univ. Bourgogne Franche-Comté/UFC/CNRS/ENSMM/UTBM, rue Thierry Mieg, 90000 Belfort, France;3. FCLAB Research Federation, FR CNRS 3539, rue Thierry Mieg, 90000 Belfort, France;1. FEMTO-ST Institute, Univ. Bourgogne Franche-Comté, UTBM, CNRS Rue Ernest Thierry Mieg, F-90000, Belfort, France;2. FCLAB, Univ. Bourgogne Franche-Comté, UTBM, CNRS Rue Ernest Thierry Mieg, F-90010, Belfort, France;3. ISTHY, l''Institut International sur le Stockage de l''Hydrogène, 90400, Meroux-Moval, France;4. Electrical Power and Machines Department, Faculty of Engineering, Zagazig University, Egypt;1. College of Mechanical and Vehicle Engineering; The State Key Laboratory of Mechanical Transmissions; Chongqing Automotive Collaborative Innovation Centre; Chongqing University, Chongqing, 400044, China;2. School of Electrical Engineering, Chongqing University, Chongqing, 400044, China;3. Chongqing Changan New Energy Vehicle Technology Co., Ltd., Chongqing, 400000, China;4. Clean Energy Research Center, Sch Engn Singapore, Temasek Polytechnic, 529757, Singapore;5. School of Computing, National University of Singapore, 117543, Singapore;6. Beijing Institute of Technology, National Engineering Laboratory for Electric Vehicles, Beijing, 100081, China;7. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China;8. FTXT Energy Technology Co., Ltd. Chaoyang Street, Baoding, Hebe, 071000, China;1. FCLab FR CNRS 3539, Femto-ST UMR CNRS 6174, UTBM, France;2. SEGULA MATRA Technologies,France;3. ENSIAME, Valenciennes, France;4. Institut de recherche sur l’hydrogène, Université du Québec à Trois-Rivières, Canada |
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| Abstract: | The proton exchange membrane fuel cell (PEMFC) stacks are not widely used in the field of transportation industry, due to their limited power. Thus, the PEMFC stacks usually connected in parallel or series to meet the load demand power in high-power applications. The hydrogen consumption of multi-stack fuel cells (MFCs) system is related to the efficiency and output power. In addition, the efficiency of PEMFC depends on the applied voltage and other parameters. Consequently, the hydrogen consumption of system changes with varying load, because the system parameters are also varying. It makes reducing the fuel consumption of system a challenging assignment. In order to achieve the goal of minimizing fuel consumption of parallel-connected PEMFCs system, this paper proposes a novel power distribution strategy based on forgetting factor recursive least square (FFRLS) online identification. The FFRLS algorithm is based on data-driven and uses real-time data of the system to improve the estimation accuracy of PEMFC system parameters. On the test bench of parallel-connected PEMFCs system consists of two 300 W PEMFC stacks, PEMFC stack controller, DC/DC converters, and DSP controller etc., a multi-index performance test and comparative analysis are carried out. The results showed that, the performance of proposed power allocation strategy has been successfully validated. In addition, compared with the power average and daisy chain algorithms, the proposed online identification power distribution method can get more satisfactory results. Such as, reducing the hydrogen consumption and improving efficiency. |
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| Keywords: | Proton exchange membrane fuel cell (PEMFC) Hydrogen consumption minimization Forgetting factor recursive least square (FFRLS) algorithm Online identification Power distribution strategy Multi-stack fuel cells system |
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