TY - GEN
T1 - Dynamic variable coupling analysis and modeling of proton exchange membrane fuel cells for water and thermal management
AU - Zhou, Daming
AU - Breaz, Elena
AU - Ravey, Alexandre
AU - Gao, Fei
AU - Miraoui, Abdellatif
AU - Zhang, Ke
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/10
Y1 - 2016/5/10
N2 - Dynamic variable coupling analysis is an important tool to properly design a control structure for complex multivariable and multi-physique systems, such as fuel cells. Fuel cell is an electrochemical energy conversion device which contains different inter-coupled dynamic phenomena in electrochemical, fluidic and thermal domains. Among those dynamic phenomena, the management of water and thermal dynamics play an important role to achieve the optimized fuel cell performance. In this paper, a control variable coupling analysis of fuel cell dynamic behaviors are presented and discussed based on a dynamic proton exchange membrane (PEM) fuel cell model, which considers in particular the transient behaviors of membrane water content and cell temperature. Through the analysis based on the relative gain array (RGA) method, the effects of nonlinear coupling among different fuel cell control variables are shown. The analysis results can be used to optimize the controller design for fuel cell system.
AB - Dynamic variable coupling analysis is an important tool to properly design a control structure for complex multivariable and multi-physique systems, such as fuel cells. Fuel cell is an electrochemical energy conversion device which contains different inter-coupled dynamic phenomena in electrochemical, fluidic and thermal domains. Among those dynamic phenomena, the management of water and thermal dynamics play an important role to achieve the optimized fuel cell performance. In this paper, a control variable coupling analysis of fuel cell dynamic behaviors are presented and discussed based on a dynamic proton exchange membrane (PEM) fuel cell model, which considers in particular the transient behaviors of membrane water content and cell temperature. Through the analysis based on the relative gain array (RGA) method, the effects of nonlinear coupling among different fuel cell control variables are shown. The analysis results can be used to optimize the controller design for fuel cell system.
KW - coupling analysis
KW - dynamic variable
KW - management of water and thermal
KW - membrane water content
KW - transient behaviors
UR - https://www.scopus.com/pages/publications/84973617995
U2 - 10.1109/APEC.2016.7468367
DO - 10.1109/APEC.2016.7468367
M3 - 会议稿件
AN - SCOPUS:84973617995
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 3476
EP - 3480
BT - 2016 IEEE Applied Power Electronics Conference and Exposition, APEC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016
Y2 - 20 March 2016 through 24 March 2016
ER -