Work

Multi-objective identification of a metal hydride tank lumped parameter model

Year: 2025

Type: article

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. • A third-order state–space model of the MH tank is formulated and analysed. • Identifiability analysis and sensitivity analysis for the MH tank model. • Calibrate the unknown parameters in the model based on experimental data using multi- objective identification methods.

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2025.118759

Authors: Mingrui Chen, Carles Batlle, Bryan Escachx, Ramon Costa-Castelló, Jing Na

Institutions: Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Kunming University of Science and Technology

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $3,560