A fuzzy logic PI control with feedforward compensation for hydrogen pressure in vehicular fuel cell system

Abstract In a vehicular fuel cell system, alternative load and frequent purge action can lead to anode pressure varies with the hydrogen mass flow fluctuation. It's crucial to control the pressure difference between anode and cathode within a reasonable range to avoid adverse phenomena such as membrane failure, reactant starvation, or even water management fault. In this paper, an improved proportional integrative (PI) controller by the fuzzy logic technique that considers the engineer experience and knowledge on the hydrogen supply system behavior is proposed for hydrogen pressure control, in which the PI parameters are tuned by a fuzzy decision process. Furthermore, load current and purge action regarded as input disturbances are applied for feedforward compensation to reduce the pressure response hysteresis. A hydrogen supply subsystem based on the proportional valve is modeled, and corresponding parameters are determined by analyzing the response time and steady pressure fluctuation. The performance of the conventional PI controller, the fuzzy logic PI (FLPI) controller and fuzzy logic PI with feedforward (FLPIF) controller is validated. The presented results indicated that the FLPI controller significantly improves the dynamic response of hydrogen pressure compared to the PI controller, and the FLPIF controller can further reduce overshoot caused by disturbance. Finally, the proposed FLPIF controller is implemented on a rapid prototype platform of the hydrogen supply subsystem and an actual fuel cell system, exhibiting satisfactory performance.

[1]  Jer‐Huan Jang,et al.  Dynamic cell performance of kW-grade proton exchange membrane fuel cell stack with dead-ended anode , 2015 .

[2]  Salah Laghrouche,et al.  Pressure control in a PEM fuel cell via second order sliding mode , 2012 .

[3]  Cheng-Chew Lim,et al.  Robust fuzzy model predictive control for energy management systems in fuel cell vehicles , 2020 .

[4]  Shuhui Li,et al.  Fuel cell and ultracapacitor energy system control using linear quadratic regulator proportional integral controller , 2019, Electrical Engineering.

[5]  Yubo Yuan,et al.  Field programmable gate array implementation of a single-input fuzzy proportional–integral–derivative controller for DC–DC buck converters , 2016 .

[6]  Yuksel Hacioglu.  Multiple-input multiple-output proportional-integral-proportional-derivative type fuzzy logic controller design for a twin rotor system , 2015 .

[7]  Michio Sugeno,et al.  An introductory survey of fuzzy control , 1985, Inf. Sci..

[8]  D. Kranthi Kumar,et al.  Fuzzy Self-Adaptive PID Controller Design for Electric Heating Furnace , 2012 .

[9]  Petronilla Fragiacomo,et al.  Numerical modelling of a PEFC powertrain system controlled by a hybrid strategy for rail urban transport , 2018, Journal of Energy Storage.

[10]  Maxime Wack,et al.  PEM fuel cell air-feed system observer design for automotive applications: An adaptive numerical differentiation approach , 2014 .

[11]  Hamid Boubertakh.  Knowledge-based ant colony optimization method to design fuzzy proportional integral derivative controllers , 2017 .

[12]  S.M.T. Bathaee,et al.  Multi-objective genetic optimization of the fuel cell hybrid vehicle supervisory system: Fuzzy logic and operating mode control strategies , 2015 .

[13]  Wan Ramli Wan Daud,et al.  PEM fuel cell system control: A review , 2017 .

[14]  Y. Asai,et al.  Control of Differential Air and Hydrogen Pressures in Fuel Cell Systems , 2011 .

[15]  Moulay Rachid Douiri,et al.  Neuro-Fuzzy-Based Auto-Tuning Proportional Integral Controller for Induction Motor Drive , 2015, Int. J. Comput. Intell. Appl..

[16]  Ellen Ivers-Tiffée,et al.  Advanced impedance study of polymer electrolyte membrane single cells by means of distribution of relaxation times , 2018, Journal of Power Sources.

[17]  Petronilla Fragiacomo,et al.  Fuel cell hybrid powertrains for use in Southern Italian railways , 2019, International Journal of Hydrogen Energy.

[18]  Petronilla Fragiacomo,et al.  A multi-method control strategy for numerically testing a fuel cell-battery-supercapacitor tramway , 2020 .

[19]  Ying Shen,et al.  Variable structure battery-based fuel cell hybrid power system and its incremental fuzzy logic energy management strategy , 2020 .

[20]  Tong Zhang,et al.  Fuzzy control of hydrogen pressure in fuel cell system , 2019, International Journal of Hydrogen Energy.

[21]  David Tucker,et al.  Apply Robust Proportional Integral Derivative Controller to a Fuel Cell Gas Turbine , 2018 .

[22]  Ashik Ahmed,et al.  Optimal design of proportional–integral controllers for stand-alone solid oxide fuel cell power plant using differential evolution algorithm , 2016, SpringerPlus.

[23]  Ashik Ahmed,et al.  Optimal Design of Proportional–Integral Controllers for Grid-Connected Solid Oxide Fuel Cell Power Plant Employing Differential Evolution Algorithm , 2019 .

[24]  Zhengkai Tu,et al.  Progress on design and development of polymer electrolyte membrane fuel cell systems for vehicle applications: A review , 2018, Fuel Processing Technology.

[25]  Carlos Ocampo-Martinez,et al.  On the anode pressure and humidity regulation in PEM fuel cells: a nonlinear predictive control approach , 2015 .

[26]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[27]  Lifan Sun,et al.  Optimization based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle considering fuel economy and fuel cell lifespan , 2020, International Journal of Hydrogen Energy.

[28]  Julia H. Buckland,et al.  Humidity and Pressure Regulation in a PEM Fuel Cell Using a Gain-Scheduled Static Feedback Controller , 2009, IEEE Transactions on Control Systems Technology.

[29]  Ranga Pitchumani,et al.  Influence of transient operating parameters on the mechanical behavior of fuel cells , 2015 .

[30]  P. Pei,et al.  Degradation mechanisms of proton exchange membrane fuel cell under typical automotive operating conditions , 2020 .

[31]  Jiujun Zhang,et al.  Anode purge management for hydrogen utilization and stack durability improvement of PEM fuel cell systems , 2020 .

[32]  I. A. Chidambaram,et al.  Optimized PI+ load–frequency controller using BWNN approach for an interconnected reheat power system with RFB and hydrogen electrolyser units , 2015 .

[33]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[34]  L. Frey,et al.  Anode recirculation and purge strategies for PEM fuel cell operation with diluted hydrogen feed gas , 2018, Applied Energy.

[35]  Xuezhe Wei,et al.  Model-based observers for internal states estimation and control of proton exchange membrane fuel cell system: A review , 2020 .

[36]  Daijun Yang,et al.  Proton Exchange Membrane Fuel Cell Reversal: A Review , 2016 .

[37]  Thomas B. Schön,et al.  Learning deep dynamical models from image pixels , 2014, ArXiv.

[38]  Xuezhe Wei,et al.  A novel model-based internal state observer of a fuel cell system for electric vehicles using improved Kalman filter approach , 2020 .

[39]  Soonwoo Kwon,et al.  A Development of the Purge Controller Design Based on H2 Concentration Estimator in Fuel Cell Electric Vehicle , 2020 .

[40]  S. T. Jaya Christa,et al.  Modeling, system identification and design of fuzzy PID controller for discharge dynamics of metal hydride hydrogen storage bed , 2020 .

[41]  Anna G. Stefanopoulou,et al.  Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design , 2004 .

[42]  Ahmed Cheriti,et al.  A real time fuzzy logic power management strategy for a fuel cell vehicle , 2014 .

[44]  Mehmet Uzunoglu,et al.  Load sharing using fuzzy logic control in a fuel cell/ultracapacitor hybrid vehicle , 2009 .

[45]  Minggao Ouyang,et al.  Modeling and control of air stream and hydrogen flow with recirculation in a PEM fuel cell system - II. Linear and adaptive nonlinear control , 2006 .

[46]  Grigorios L. Kyriakopoulos,et al.  Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes , 2016 .

[47]  Guangyi Cao,et al.  Research on the long-term stability of a PEMFC stack: Analysis of pinhole evolution , 2014 .

[48]  Omar Z. Sharaf,et al.  An overview of fuel cell technology: Fundamentals and applications , 2014 .

[49]  Jianqiu Li,et al.  Model-based fuel pressure regulation algorithm for a hydrogen-injected PEM fuel cell engine , 2015 .

[50]  Yinhai Zhu,et al.  New theoretical model for convergent nozzle ejector in the proton exchange membrane fuel cell system , 2009 .

[51]  Fengxiang Chen,et al.  Control system design for proton exchange membrane fuel cell based on a common rail (I): Control strategy and performance analysis , 2017 .