Modeling and control of a PEM fuel cell system: A practical study based on experimental defined component behavior

Özbek, Markus; Wang, Shen; Marx, Matthias; Söffker, Dirk

doi:10.1016/j.jprocont.2012.11.009

Cited by 23 publications

(15 citation statements)

References 10 publications

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“…The electrons transferred to the cathode side can be used to conduct electricity. The maximum voltage over the anode and cathode are calculated in [28] according to Gibbs free energy:…”

Section: Fuel Cellmentioning

confidence: 99%

“…The typical relation between individual cell voltage v f c and current density i is given in [9] along with the dependence of v f c on irreversible losses, called polarizations. In [28], a real fuel cell from the Ballard Nexa power module is considered, which has a rated output of 1.2 kW at 26 V and 46 A and consumes 18.5 SLPM (standard L/min) of hydrogen. The output voltage varies between 22 and 50 V. The fuel cell system considered is firstly mentioned in [28]; modeling details and fundamentals are given.…”

Section: Fuel Cellmentioning

confidence: 99%

“…Components like batteries and supercapacitors, where the state-of-charge is an unknown result of power management and optimization algorithms, need to be modeled dynamically. A fuel cell, on the other hand, can be modeled based on experimentally-determined parameters, as detailed in [28]. Thus, instead of a complex dynamical model as developed in [28], a quasi-static model can be used based on look-up table values of experimentally-determined parameters in [28].…”

Section: Introductionmentioning

confidence: 99%

“…A fuel cell, on the other hand, can be modeled based on experimentally-determined parameters, as detailed in [28]. Thus, instead of a complex dynamical model as developed in [28], a quasi-static model can be used based on look-up table values of experimentally-determined parameters in [28]. A DC/DC converter, which is an essential component in pure-electric powertrains, can be dynamically modeled like the battery and supercapacitor.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Moulik

Söffker

2016

Energies

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Abstract:Real-time power management in the presence of one or more reversible energy storage systems is a current issue with hybrid electric vehicles (HEVs). To evaluate the potentials of rule-based power management, optimization with respect to two conflicting objectives, fuel consumption and state of charge (SoC) deviation, is considered in this contribution. A modular structure of power management with decoupled offline and online parts is presented. The online part incorporates look-up tables (LUTs) with parameters from the offline optimization part. This permits an inclusion of more LUTs corresponding to different drive patterns. The goal of this contribution is to combine the real-time applicability of rule-based power management and the multi-objective optimization property of genetic algorithms in a single control strategy. Component aging problems are addressed by suitable design. The influence of sizing is investigated. Finally, an experimental setup consisting of components capable of realizing the dynamics of real powertrain components is realized and introduced. A verification/plausibility assessment of modeled dynamics based on the literature is considered. This newly-introduced concept represents a class of power management, which is easy to implement, can tackle different objectives in real time, and adapt itself to unknown driver demands.

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“…The electrons transferred to the cathode side can be used to conduct electricity. The maximum voltage over the anode and cathode are calculated in [28] according to Gibbs free energy:…”

Section: Fuel Cellmentioning

confidence: 99%

Section: Fuel Cellmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Moulik

Söffker

2016

Energies

Self Cite

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“…Power management with DC/DC converter control can be realized with real hardware components, of which emulator hardware [10] has been considered as a less expensive and more compact substitute for complex real hardware. The emulator test-rig developed and implemented in [11] is capable of accurately replicating the vehicle dynamics and can also be used for validating power flow algorithms. This was extended and modified to emulate an entire hybrid powertrain in [12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review

Moulik

Söffker

2015

Energies

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The field of hybrid vehicles has undergone intensive research and development, primarily due to the increasing concern of depleting resources and increasing pollution. In order to investigate further options to optimize the performance of hybrid vehicles with regards to different criteria, such as fuel economy, battery aging, etc., a detailed state-of-the-art review is presented in this contribution. Different power management and optimization techniques are discussed focusing on rule-based power management and multi-objective optimization techniques. The extent of rule-based power management and optimization in solving battery aging issues is investigated along with an implementation in real-time driving scenarios where no pre-defined drive cycle is followed. The goal of this paper is to illustrate the significance and applications of rule-based power management optimization based on previous contributions.

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Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell

Ławryńczuk

2019

Asian Journal of Control

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This work is concerned with identification of Wiener models (a linear dynamic part connected in series with a nonlinear dynamic one). A neural network with one hidden layer is used as the nonlinear block of the model, two network configurations are considered. For model identification three algorithms are described.In the first case model accuracy only in transient conditions is considered, only the dynamic data is used for model training. In the next two algorithms model accuracy in both transient and steady-state conditions is considered, dynamic and steady-state data sets are used. The steady-state model errors are taken into account by an additional term in the minimized cost-function or by additional inequality constraints. For comparison of discussed algorithms and model structures, identification of a Wiener model of a solid oxide fuel cell (SOFC) process is considered. It is shown that the best results are obtained by the algorithm 2 which minimizes at the same time both dynamic and steady-state model errors, additional constraints used in the algorithm 3 are computationally quite demanding.

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Modeling and control of a PEM fuel cell system: A practical study based on experimental defined component behavior

Cited by 23 publications

References 10 publications

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Online Power Management with Embedded Offline-Optimized Parameters for a Three-Source Hybrid Powertrain with an Experimental Emulation Application

Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review

Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell

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