Observador de alta ganancia con zona muerta ajustable para estimar la saturación de agua líquida en pilas de combustible tipo PEM

Cecilia, Andreu; Costa‐Castelló, Ramon

doi:10.4995/riai.2020.12689

Cited by 30 publications

(14 citation statements)

References 30 publications

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“…whereh(z, u,u) presents the non-linear part of the model. As φ is a diffeomorphism, dynamics ( 16) is analytically equivalent to ( 13)- (14). Consequently, the evolution of x r can be reconstructed from that of z.…”

Section: B Controllable Canonical Form Transformationmentioning

confidence: 99%

Vanadium Redox Flow Battery State of Charge Estimation Using a Concentration Model and a Sliding Mode Observer

et al. 2021

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Vanadium redox flow batteries are very promising technologies for large-scale, inter-seasonal energy storage. Tuning models from experimental data and estimating the state of charge is an important challenge for this type of devices. This work proposes a non-linear lumped parameter concentration model to describe the state of charge that differentiates the species concentrations in the different system components and allows to compute the effect of the most relevant over-potentials. Additionally, a scheme, based on the particle swarm global optimization methodology, to tune the model taking into account real experiments is proposed and validated. Finally, a novel state of charge estimation algorithm is proposed and validated. This algorithm uses a simplified version of previous models and a sliding mode control feedback law. All developments are analytically formulated and formally validated. Additionally, they have been experimentally validated in a home-made single vanadium redox flow battery cell. Proposed methods offer a constructive methodology to improve previous results in this field.

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Section: B Controllable Canonical Form Transformationmentioning

confidence: 99%

Vanadium Redox Flow Battery State of Charge Estimation Using a Concentration Model and a Sliding Mode Observer

et al. 2021

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“…Nowadays, inside the group of electrochemical ESS, more research is being done, specially in fuel cells and redox flow batteries. Fuel cells [30,31] convert chemical energy from a fuel (usually hydrogen) into electric energy through an electrochemical reaction between the fuel with an oxidizing agent (oxygen). Its main distinction from a battery is that requires a continuous source of species.…”

Section: Ess Main Advantagementioning

confidence: 99%

“…Other strategies are based on using an optimal flow rate that maximizes the efficiency of the complete system taking into account the effect of the possible losses. The criterion to maximize the battery efficiency is minimizing the system energy during the charging process and maximizing it during discharge as is expressed in (31), within the same time window.…”

Section: Control Strategy For Rfb Systemsmentioning

confidence: 99%

“…E battery = E stack − E pump = P stack dt − P pump dt, during discharge E stack + E pump = P stack dt + P pump dt, during charge (31) where E stack is the energy in the stack that can be affected by internal losses such as overpotentials, and E pump is the power along the time from the pumps, taking into account the hydraulic losses.…”

Section: Control Strategy For Rfb Systemsmentioning

confidence: 99%

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Redox Flow Batteries: A Literature Review Oriented to Automatic Control

Clemente

Costa‐Castelló

2020

Energies

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This paper presents a literature review about the concept of redox flow batteries and its automation and monitoring. Specifically, it is focused on the presentation of all-vanadium redox flow batteries which have several benefits, compared with other existing technologies and methods for energy stored purposes. The main aspects that are reviewed in this work correspond to the characterization, modeling, supervision and control of the vanadium redox flow batteries. A research is presented where redox flow batteries are contextualized in the current energy situation, compared with other types of energy storage systems. Furthermore, a presentation about the current challenges on research, and the main existing installations is view. A discussion about the main dynamic models that have been proposed during last years, as well as the different control strategies and observers, is presented.

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“…Due to its properties of low operation temperature and fast start-up compared with other types of fuel cells, it has drawn wide attention in the fields of power station systems and vehicle systems [2,3]. However, there are numerous stumbling blocks for widely commercial applications [4,5].…”

Section: Introductionmentioning

confidence: 99%

Temperature Control for a Proton-Exchange Membrane Fuel Cell System with Unknown Dynamic Compensations

Xing

Costa‐Castelló

2020

Complexity

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Numerous control strategies of temperature regulation have been carried out for proton-exchange membrane fuel cell systems including a cooling fan in order to ensure operation at the desired condition and extend the lifetime of the fuel cell stack. However, most existing control strategies are developed without considering the efficiency limitation of the cooling system such that the cooling fan may be unable to eliminate the additional heat. Moreover, there are unknown modelling errors, external disturbance and noise during modelling and experiment processes for fuel cells. Due to those unknown dynamics, the conventional control strategies may fail to achieve the expectant results. To address this issue, an alternative control strategy is proposed in this paper, which consists of a composite proportional-integral (PI) controller with an unknown system dynamics estimator. First, the control strategy is developed by reducing the temperature of input air through the humidifier and simultaneously increasing the mass flow of air in order to eliminate the excess heat that a cooling fan cannot remove. Moreover, an unknown system dynamics estimator is proposed in order to compensate the effect of the unknown dynamics. The construction of the estimator is designed through finding an invariant manifold which implies the relation between known variables and the unknown manifold. The invariant manifold is derived by applying a simple low-pass filter to the system which is beneficial to avoid the requirement of the unmeasurable state derivative. Furthermore, the proposed estimator is easily merged into the proposed PI control strategy and ensures the exponential convergence of estimated errors. Besides, the estimator is further modified such that the derivative of the desired temperature is not required in the controller. Finally, numerical simulations of the PEMFC system are provided and the results illustrate the efficacy of the proposed control strategy.

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Observador de alta ganancia con zona muerta ajustable para estimar la saturación de agua líquida en pilas de combustible tipo PEM

Cited by 30 publications

References 30 publications

Vanadium Redox Flow Battery State of Charge Estimation Using a Concentration Model and a Sliding Mode Observer

Vanadium Redox Flow Battery State of Charge Estimation Using a Concentration Model and a Sliding Mode Observer

Redox Flow Batteries: A Literature Review Oriented to Automatic Control

Temperature Control for a Proton-Exchange Membrane Fuel Cell System with Unknown Dynamic Compensations

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