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质子交换膜燃料电池系统温度稳定性控制研究 被引量:2

Research on Temperature Stability Control of Proton Exchange Membrane Fuel Cell System
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摘要 质子交换膜燃料电池温度控制系统设计时以满足高环境温度和高负载等极端工况下的散热需求为目标,常忽略了在低温以及低负载下温度控制的稳定性;为了提高在低环境温度下、低负载下温度控制系统对燃料电池温度控制的稳定性,在传统的PID控制的基础上,改进了控制策略,有效提升了燃料电池在低环境下低负载时温度的稳定性,对提高燃料电池性能与耐久性有积极影响。 The temperature control system of the proton exchange membrane fuel cell is designed to meet the heat dissipation requirements under extreme conditions such as high ambient temperature and high load.The stability of temperature control at low temperatures and low loads is often ignored.To improve the stability of the temperature control system for fuel cell temperature control under ambient temperature and low load,based on the traditional PID control,the control strategy is improved,which effectively improves the temperature stability of the fuel cell under low environment and low load,which has a positive impact on improving fuel cell performance and durability.
作者 谢义淳 郑丽萍 赖联锋 郭玮韡 林玉祥 Xie Yichun;Zheng Liping;Lai Lianfeng;Guo Weiwei;Lin Yuxiang
出处 《时代汽车》 2021年第21期109-111,共3页 Auto Time
基金 国家重点研发计划新能源汽车重点专项,编号(2017YFB0102900) 福建省新能源汽车电机产业技术开发基地。
关键词 燃料电池 控制 温度 稳定性 fuel cell control temperature stability
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  • 1刘淼.基于DS18B20的温度控制器设计[J].西安外事学院学报,2008,0(4):92-95. 被引量:7
  • 2孙佳,郭桦,陈士忠,吴玉厚.温度对PEM燃料电池性能的影响[J].沈阳建筑大学学报(自然科学版),2006,22(3):518-523. 被引量:13
  • 3彭其泽,全书海.质子交换膜燃料电池发动机的水热管理技术现状[J].时代汽车,2007(4):64-66. 被引量:6
  • 4LI Y J,WANG H J,DAI Z J.Using artificial neural network to control the temperature of fuel cell[C]//Communications,Circuits and Systems Proceedings.[S.l.]:[s.n.],2006:2159-2162. 被引量:1
  • 5PADMANABHAN S, JOHN E S, ALI F. Dynamic heat transfer model analysis of the power generation characteristics for a proton exchange membrane fuel cell stack[J]. IEEE Trans Power Systems,2003, 18: 252-258. 被引量:1
  • 6SADKAMP T, HAMMELL R J. Interpolation completion and learning fuzzy rules [J]. IEEE Trans SMC, 1994, 24(2): 332-342. 被引量:1
  • 7BOULLART L, KRIJGSMAN A, VINGERHOEDS R A. Application of Artificial Intelligence in Process Control [M]. Pergamon Press, 1992.28. 被引量:1
  • 8TAN S H, YU Y. Adaptive fuzzy modeling of nonlinear dynamical systems[J]. Automatical, 1996, 32(4): 637-643. 被引量:1
  • 9JAY T P, ANNA G S, HUEI P. Modeling and control for PEM fuel cell stack system[A]. Proceedings of the American Control Conference[C]. Anchorage: 2002.3 117-3 122. 被引量:1
  • 10Coppo M, Siegel N P, Spakovsky M R V. On the influence of tem-perature on PEM fuel cell operation[ J]. Journal of Power Sources,2006,159:560 -569. 被引量:1

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