Publication
Multi-objective identification of a metal hydride tank lumped parameter model
Journal Article (2025)
Journal
Journal of Energy Storage
Volume
139
Number
118759
Doc link
https://doi.org/10.1016/j.est.2025.118759
File
Authors
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Chen, Mingrui
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Batlle Arnau, Carles
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Escachx Estevez, Bryan
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Costa Castelló, Ramon
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Na, Jing
Projects associated
Abstract
In this paper, a third-order state–space model of the metal hydride tank is formulated and analysed. Before the identification of the unknown parameters of the model, we first analysed their identifiability, i.e., whether we can obtain a unique unknown parameter vector from the available information. Secondly, due to the large number of unknown parameters in the proposed model, the identification of all the unknown parameters requires huge computational costs. In order to reduce the number of unknown parameters that need to be identified, we performed a sensitivity analysis of unknown parameters for the developed model. Finally, since the model has two outputs, we performed single-objective and multi-objective identification on the same experimental data, and the results show that multi-objective identification is more effective.
Categories
control theory.
Author keywords
Metal hydride tanks, Mathematical model, Identifiability analysis, Sensitivity analysis, Multi-objective optimization
Scientific reference
M. Chen, C. Batlle, B. Escachx, R. Costa and J. Na. Multi-objective identification of a metal hydride tank lumped parameter model. Journal of Energy Storage, 139(118759), 2025.

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