期刊
ROYAL SOCIETY OPEN SCIENCE
卷 7, 期 12, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsos.201107
关键词
zinc-air battery; dynamic model; linear parameter-varying model; nonlinear model; linear model
资金
- Dusadeepipat scholarship
- Program Unit for Human Resources & Institutional Development, Research and Innovation -CU [B16F630071]
- C2F Global Partnership Program
- Energy Storage Cluster
- Chulalongkorn University
- iCODE Institute, research project of the IDEX Paris-Saclay
- Hadamard Mathematics LabEx (LMH) through in the 'Programme des Investissements d'Avenir' [ANR-11-LABX0056-LMH]
- Ratchadaphiseksomphot Endowment Fund, Chulalongkorn University
Due to the increasing trend of using renewable energy, the development of an energy storage system (ESS) attracts great research interest. A zinc-air battery (ZAB) is a promising ESS due to its high capacity, low cost and high potential to support circular economy principles. However, despite ZABs' technological advancements, a generic dynamic model for a ZAB, which is a key component for effective battery management and monitoring, is still lacking. ZABs show nonlinear behaviour where the steady-state gain is strongly dependent on operating conditions. The present study aims to develop a dynamic model, being capable of predicting the nonlinear dynamic behaviour of a refuellable ZAB, using a linear parameter-varying (LPV) technique. The LPV model is constructed from a family of linear time-invariant models, where the discharge current level is used as a scheduling parameter. The developed LPV model is benchmarked against linear and nonlinear model counterparts. Herein, the LPV model performs remarkably well in capturing the nonlinear behaviour of a ZAB. It significantly outperforms the linear model. Overall, the LPV approach provides a systematic way to construct a robust dynamic model which well represents the nonlinear behaviour of a ZAB.
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