Investigation on a Shutdown Control Strategy with Residual Oxygen Rapid Elimination for Proton Exchange Membrane Fuel Cell System
Jing Fan,
Yanbo Yang (),
Tiancai Ma,
Dong Zhu and
Xinru Xu
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Jing Fan: Wuhan Institute of Marine Electric Propulsion, Wuhan 430070, China
Yanbo Yang: School of Automotive Studies, Tongji University, Shanghai 201804, China
Tiancai Ma: School of Automotive Studies, Tongji University, Shanghai 201804, China
Dong Zhu: School of Automotive Studies, Tongji University, Shanghai 201804, China
Xinru Xu: School of Automotive Studies, Tongji University, Shanghai 201804, China
Energies, 2023, vol. 16, issue 3, 1-13
Abstract:
During the shutdown process of the fuel cell system for vehicles, the air entering the anode chamber can form the hydrogen/air interface, accelerating the carbon corrosion of the catalytic layer. According to optimized control strategies, the carbon corrosion of fuel cells can be reduced. Nowadays, the main control strategies include gas purging and the consumption of residual oxygen in the stack by the auxiliary load. However, the oxygen in the fuel cell stack cannot be fully consumed or can cause the single-cell voltage to rise to 0.8 V with an inappropriate discharge current drop rate and auxiliary load resistance value, thus affecting the protective effect of the shutdown strategy. In this work, a shutdown strategy of the fuel cell system is studied. After the experiment, the optimized value of the discharge current drop rate and the auxiliary load resistance were obtained. With the resistance value of 50 Ω and the current drop rate of 7 A/s, the shutdown time of the fuel cell system is 13.5 s and the time of single-cell voltage above 0.82 V in the fuel cell stack is 0.1 s. Thus, the optimized shutdown strategy can reduce the shutdown time.
Keywords: proton exchange membrane fuel cell; power system; shutdown process; residual oxygen; rapid elimination; control strategy; protective effect (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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