Model-Based Design of an Energy-System Embedded Controller Using Taste

Cavada, Roberto; Cimatti, Alessandro; Crema, Luigi; Roccabruna, Mattia; Tonetta, Stefano

doi:10.1007/978-3-319-48989-6_45

Cited by 3 publications

(2 citation statements)

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“…Theoretical design of energy systems is very useful as it provides significant time and cost reduction during control designing phase. Further, the developed technique can also be shared with other researchers in order to provide a final implementation of hardware system, which is thoroughly tested for the entire system dynamics …”

Section: Introductionmentioning

confidence: 99%

“…Further, the developed technique can also be shared with other researchers in order to provide a final implementation of hardware system, which is thoroughly tested for the entire system dynamics. 11,12 In order to carefully emulate the fuel cell characteristics, proposed model should completely reproduce the experimental characteristics. In literature, two most widely used cells, namely, PEMFC and solid oxide fuel cell (SOFC) can be easily cited.…”

Section: Introductionmentioning

confidence: 99%

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Parameter extraction of fuel cells using hybrid interior search algorithm

2019

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Summary Precise modelling of fuel cells is very important for understanding their functioning. In this work, an application of hybrid interior search algorithm (HISA) is proposed to extract the parameters of fuel cells for their electromechanical equations based on nonlinear current‐voltage characteristics. Proposed hybridised algorithm has been developed using evolutionary mutation and crossover operators so as to enhance the modelling capability of interior search algorithm (ISA). To assess the modelling performance of HISA, parameter extraction of two types of fuel cell models, namely, proton exchange membrane fuel cell (PEMFC) and solid oxide fuel cell (SOFC) have been considered. Modelling performance of HISA, assessed using mean squared error between computed and experimental data, is found to be superior to ISA and several other recently reported prominent optimisation methods. Based on the presented intensive simulation investigations, it is concluded that HISA improves the performance of the basic ISA in terms of fitter solutions, robustness, and convergence rate and therefore offers a promising optimisation technique for parameter extraction of fuel cells.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%