Thermal modelling approach and model predictive control of a water-cooled PEM fuel cell system

Rojas, José David; Ocampo‐Martínez, Carlos; Kunusch, Cristian

doi:10.1109/iecon.2013.6699742

Cited by 6 publications

(7 citation statements)

References 19 publications

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“…From (15) and Assumption 2, the nonlinear function W 2 is approximated by W 2 ( 2 ) = θ * 2 ξ 2 + ψ 2 . Then, using the inequality…”

Section: B Design Of Adaptive Controllermentioning

confidence: 99%

“…In [14], a model reference adaptive control problem was investigated to deal with system uncertainties and to control the stack and coolant inlet temperature in PEMFCs. In [15], the modular thermal modelling and model predictive control methods of water-cooled PEMFC systems were presented. However, the existing control strategies [11]- [15] are based on the linearized model of PEMFC systems and thus are only reliable in the neighborhood of the specific operating point.…”

Section: Introductionmentioning

confidence: 99%

“…In [15], the modular thermal modelling and model predictive control methods of water-cooled PEMFC systems were presented. However, the existing control strategies [11]- [15] are based on the linearized model of PEMFC systems and thus are only reliable in the neighborhood of the specific operating point. For more practical applications, there have been some attempts to develop thermal controllers for nonlinear PEMFC systems.…”

Section: Introductionmentioning

confidence: 99%

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Approximation-Based Adaptive Control of Constrained Uncertain Thermal Management Systems With Nonlinear Coolant Circuit Dynamics of PEMFCs

Kim

Yoo

2020

IEEE Access

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This paper addresses an adaptive temperature control problem for preventing the membrane dehydration and electrode flooding of nonlinear proton exchange membrane fuel cells (PEMFCs). Compared with the previous thermal control results of PEMFC temperature systems, the main contributions of this paper are two-fold: (i) nonlinear thermal management systems with nonlinear coolant circuit dynamics are firstly adopted in the temperature control field of PEMFCs and (ii) temperature constraints are considered to avoid the membrane dehydration and electrode flooding phenomena of PEMFCs. It is assumed that all system parameters and nonlinearities of thermal management systems including nonlinear coolant circuit dynamic are unknown. A recursive control design methodology is presented to guarantee the robust regulation and constraint satisfaction of the stack temperature. From the Lyapunov theorem, the stability of the resulting closed-loop system is analyzed.INDEX TERMS Thermal management systems, nonlinear coolant circuit dynamics, temperature constraints, adaptive control, proton exchange membrane fuel cells (PEMFCs).

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“…From (15) and Assumption 2, the nonlinear function W 2 is approximated by W 2 ( 2 ) = θ * 2 ξ 2 + ψ 2 . Then, using the inequality…”

Section: B Design Of Adaptive Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Approximation-Based Adaptive Control of Constrained Uncertain Thermal Management Systems With Nonlinear Coolant Circuit Dynamics of PEMFCs

Kim

Yoo

2020

IEEE Access

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“…However, they did not take into account control efforts nor verified experimentally their results. Rojas et al [19] designed a model predictive control (MPC) based on a linearized model. No experimental validation.…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Validation of the Temperature Control of a PEMFC Stack by Applying Multiobjective Optimization

et al. 2020

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The current environmental challenges require the implementation of environmentally friendly energy production systems. In this context, proton exchange membrane fuel cell stacks (PEMFC) represent, due to their high electrical efficiency and their low level of CO 2 emissions, a promising alternative technology. However, there are still many technical aspects that need to be improved before they become a commercial reality. One of them is the temperature control of the stack, since its electrical efficiency and its lifetime depend on the performance of this control. In this work, we design a multiloop PID control of the temperature of a PEMFC stack and validate it experimentally. The stack is the prime mover of a micro combined heat and power system (micro-CHP). For this task, we use a previously developed nonlinear model and apply a multiobjective optimization methodology. To assess its performance, the PID control is compared to a second PID control designed with a linearized model. The results show, on the one hand, the importance of having a nonlinear model valid in a wide operation range for the correct design of the temperature control of a PEMFC stack and, on the other hand, the advantages of applying a multiobjective optimization methodology to this problem.

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“…It is based on a modular approach oriented to control applications but also useful to model the temperature variation of each cell within a stack considering that the stack is cooled by means of a water flow between the cells instead of air [24]. The model has been validated in a real 20-cell PEMFC, being able to predict the stationary and transient states of the plant by tuning only a reduced set of parameters.…”

mentioning

confidence: 99%

Control-Oriented Thermal Modeling Methodology for Water-Cooled PEM Fuel-Cell-Based Systems

Rojas

Kunusch

Ocampo‐Martínez

et al. 2015

IEEE Trans. Ind. Electron.

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Abstract-In this paper, a new control-oriented modelling methodology for the thermal dynamics of water-cooled Proton Exchange Membrane Fuel Cells (PEMFC) is presented and validated. This methodology is not only useful for control applications, but also can be used for predicting the temperature variation across the stack, allowing to monitor its operation. The methodology has been validated in a real 600W, 20-cells, water cooled PEMFC, with encouraging results for both the stationary and the transient states. Results show that the proposed methodology is accurate and suitable for control purposes

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Thermal modelling approach and model predictive control of a water-cooled PEM fuel cell system

Cited by 6 publications

References 19 publications

Approximation-Based Adaptive Control of Constrained Uncertain Thermal Management Systems With Nonlinear Coolant Circuit Dynamics of PEMFCs

Approximation-Based Adaptive Control of Constrained Uncertain Thermal Management Systems With Nonlinear Coolant Circuit Dynamics of PEMFCs

Design and Experimental Validation of the Temperature Control of a PEMFC Stack by Applying Multiobjective Optimization

Control-Oriented Thermal Modeling Methodology for Water-Cooled PEM Fuel-Cell-Based Systems

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