Abstract

Battery modeling is important for the battery management systems of zinc-nickel-single-flow batteries in which energy storage systems are applied to enhance the stability of power systems for new energy applications. To create a precise model, parameter identification and the model structure are studied for the case of a dynamic working current. First, a second-order equivalent circuit model is used to evaluate the influence of different fitting data on parameter identification, and then, a systematic comparison study of the models is conducted in which the parameters are identified based on different fitting data. Second, to further validate the accuracy of the proposed model, a dynamic stress test is performed. The simulated voltage and experimental voltage results demonstrate that the established battery model, in which the parameters are identified by the terminal voltage of the constant-current discharge curve, is suitable for simulating the dynamic characteristics of a zinc-nickel-single-flow battery under dynamic current loads.

Highlights

  • Along with the progress of mankind and global economic development, the demand for energy is continually increasing

  • Since an energy storage system could compensate for power fluctuations and improve the gridconnection ability of intermittent power by absorbing or releasing power, it is recognized as a key technology for the development of renewable energy resources

  • All the three fitting methods adopt the same model structure, the parameters of the model obtained by fitting are different due to the differences in the fitting datasets; the models obtained with these methods can be regarded as three different models and are denoted as models I–III, where model I is identified by fitting the voltage curve during the rest time, model II is identified by fitting the short-time pulse curve, and model III is identified by a constant-current discharge process

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Summary

INTRODUCTION

Along with the progress of mankind and global economic development, the demand for energy is continually increasing. The zinc-nickel-single-flow battery is considered to be a promising system for grid-scale energy storage because of its greenness, environmental friendliness, low-cost, and simple structure (without membranes).. Substantial research has been carried out since the zinc-nickelsingle-flow battery was first proposed The majority of these works have focused on battery performance, such as the influence of electrolyte additives, zinc ions in the electrolytes, and zinc morphology.. The second was built on a kinetic model for the chemical reaction between hydroxide and zinc ions and was applied to describe the performance of a zinc-nickel-single-flow. Second-order Thevenin ECMs have already been established for zinc-nickel-single-flow batteries, the established models were validated only under constant-current loads. The most appropriate fitting dataset is provided and used to identify the model parameters

Experimental setup
Parameter identification dataset
Validation datasets
Parameter estimation algorithm
RC network parameter estimation with different fitting data
ECM parameter extraction results
Analysis of the simulation results under the one cycle test
Method
Verification of terminal voltage predictions under the DST
Findings
CONCLUSIONS
Full Text
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