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Linear parameter-varying model for a refuellable zinc-air battery.

Woranunt Lao-Atiman1, Sorin Olaru2, Sette Diop2

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Royal Society Open Science
|January 25, 2021
PubMed
Summary

A new dynamic model for zinc-air batteries (ZABs) was developed using linear parameter-varying (LPV) techniques. This model accurately predicts the nonlinear behavior of ZABs, outperforming traditional linear models for energy storage systems.

Keywords:
dynamic modellinear modellinear parameter-varying modelnonlinear modelzinc–air battery

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Area of Science:

  • Energy Storage Systems
  • Electrochemistry
  • Control Theory

Background:

  • Renewable energy adoption drives demand for efficient energy storage systems (ESS).
  • Zinc-air batteries (ZABs) offer high capacity and cost-effectiveness, aligning with circular economy principles.
  • A lack of generic dynamic models hinders effective battery management and monitoring for ZABs, which exhibit complex nonlinear behavior.

Purpose of the Study:

  • To develop a dynamic model for refuelable zinc-air batteries (ZABs).
  • To accurately predict the nonlinear dynamic behavior of ZABs under varying operating conditions.
  • To utilize the linear parameter-varying (LPV) technique for robust ZAB modeling.

Main Methods:

  • A linear parameter-varying (LPV) modeling approach was employed.
  • The LPV model was constructed from a set of linear time-invariant models.
  • Discharge current level was used as the scheduling parameter for the LPV model.

Main Results:

  • The developed LPV model effectively captured the nonlinear dynamics of the zinc-air battery.
  • The LPV model demonstrated superior performance compared to conventional linear models.
  • Benchmarking confirmed the LPV model's accuracy against linear and nonlinear counterparts.

Conclusions:

  • The linear parameter-varying (LPV) approach provides a systematic method for creating robust dynamic models of zinc-air batteries.
  • The developed LPV model accurately represents the nonlinear behavior of ZABs, crucial for advanced battery management.
  • This research addresses the need for a generic dynamic model, enhancing the potential of ZABs in renewable energy applications.