Adaptive thermal control for PEMFC systems with guaranteed performance

Abstract Proton exchange membrane fuel cell (PEMFC) s are faced with dynamical load scenario in practical applications, and the resulting temperature variation will decrease the performance and consequently shorten the fuel cell lifetime. To address this problem, a control strategy for regulating the stack temperature is proposed in this paper. Firstly, a thermal management-oriented dynamic model of a water-cooled PEMFC system is built to facilitate the control design. Secondly, considering that the stack temperature should be maintained in a certain range regardless of the dynamical changing current demand, a Barrier Lyapunov function is employed to construct a feedback error of the stack temperature. Thirdly, a set of adaptation laws is designed to estimate the unknown parameters related to the gas flow rates in the flow fields. Particularly, a dynamic inversion tracking methodology is applied to design the non-affine input. A Lyapunov method based analysis demonstrates the stability and convergence of the closed-loop properties. Simulation results are provided to show that the proposed control strategy can satisfy all the control objectives and enhance the control performance compared to the proportional-integral controlled case.

[1]  Francis Eng Hock Tay,et al.  Barrier Lyapunov Functions for the control of output-constrained nonlinear systems , 2009, Autom..

[2]  Jenn-Jiang Hwang,et al.  Thermal control and performance assessment of a proton exchanger membrane fuel cell generator , 2013 .

[3]  Mohamed Becherif,et al.  Multi-stack fuel cell efficiency enhancement based on thermal management , 2017 .

[4]  Satish G. Kandlikar,et al.  Two-phase flow and thermal transients in proton exchange membrane fuel cells – A critical review , 2015 .

[5]  S. Kær,et al.  Thermal modeling and temperature control of a PEM fuel cell system for forklift applications , 2014 .

[6]  Jing Sun,et al.  Model Predictive Control for Power and Thermal Management of an Integrated Solid Oxide Fuel Cell and Turbocharger System , 2014, IEEE Transactions on Control Systems Technology.

[7]  Jian Chen,et al.  Real-Time Adaptive Control of a Fuel Cell/Battery Hybrid Power System With Guaranteed Stability , 2017, IEEE Transactions on Control Systems Technology.

[8]  A. K. Tangirala,et al.  Control-orientated thermal model for proton-exchange membrane fuel cell systems , 2008 .

[9]  Dong Wei,et al.  Parameter optimization of thermal-model-oriented control law for PEM fuel cell stack via novel genetic algorithm , 2011 .

[10]  Jason R. Kolodziej.  Thermal Dynamic Modeling and Nonlinear Control of a Proton Exchange Membrane Fuel Cell Stack , 2007 .

[11]  Carlos Ocampo-Martinez,et al.  Thermal modelling approach and model predictive control of a water-cooled PEM fuel cell system , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[12]  Dong Wei,et al.  Novel variable structure control for the temperature of PEM fuel cell stack based on the dynamic thermal affine model , 2011 .

[13]  Jianyong Yao,et al.  Barrier Lyapunov function-based adaptive output feedback failure compensation for a class of non-linear systems with unknown dead-zone non-linearity , 2017 .

[14]  Qi Li,et al.  A state machine strategy based on droop control for an energy management system of PEMFC-battery-supercapacitor hybrid tramway , 2016 .

[15]  Jinkun Liu,et al.  Vibration control for a rigid-flexible manipulator with full state constraints via Barrier Lyapunov Function , 2017 .

[16]  Jie Yang,et al.  Control-oriented thermal management of solid oxide fuel cells based on a modified Takagi-Sugeno fuzzy model , 2009 .

[17]  Xin-Jian Zhu,et al.  Coolant circuit modeling and temperature fuzzy control of proton exchange membrane fuel cells , 2010 .

[18]  Mohd Ali Hashim,et al.  Thermal stress management of a solid oxide fuel cell using neural network predictive control , 2013 .

[19]  Xi Li,et al.  Thermal Management-Oriented Multivariable Robust Control of a kW-Scale Solid Oxide Fuel Cell Stand-Alone System , 2016, IEEE Transactions on Energy Conversion.

[20]  Xi Li,et al.  Dynamic modeling and analysis of a 5-kW solid oxide fuel cell system from the perspectives of cooperative control of thermal safety and high efficiency , 2015 .

[21]  Jian Li,et al.  Thermal management oriented steady state analysis and optimization of a kW scale solid oxide fuel cell stand-alone system for maximum system efficiency , 2013 .

[22]  Steven Snyder,et al.  Adaptive Control of a Solid Oxide Fuel Cell Ultra-Capacitor Hybrid System , 2013, IEEE Transactions on Control Systems Technology.

[23]  Biao Zhou,et al.  Water and thermal management for Ballard PEM fuel cell stack , 2005 .

[24]  Vicenç Puig,et al.  Control-Oriented Thermal Modeling Methodology for Water-Cooled PEM Fuel-Cell-Based Systems , 2015, IEEE Transactions on Industrial Electronics.

[25]  Sun Yi,et al.  Advanced thermal management of automotive fuel cells using a model reference adaptive control algorithm , 2017 .

[26]  Paulo Tabuada,et al.  Control Barrier Function Based Quadratic Programs for Safety Critical Systems , 2016, IEEE Transactions on Automatic Control.

[27]  Javier Moreno-Valenzuela,et al.  Lyapunov-Based Adaptive Control for the Permanent Magnet Synchronous Motor Driving a Robotic Load , 2017, J. Circuits Syst. Comput..

[28]  Dongmei Chen,et al.  Critical control volume sizing for improved transient thermal modeling of PEM fuel cells , 2015 .

[29]  Qi Li,et al.  Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway , 2015 .