z-logo
open-access-imgOpen Access
Equivalent circuit modeling and simulation of the zinc nickel single flow battery
Author(s) -
Shouguang Yao,
Peng Liao,
Min Xiao,
Jie Cheng,
Ke He
Publication year - 2017
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.4977968
Subject(s) - equivalent circuit , stack (abstract data type) , voltage , exponential function , battery (electricity) , polynomial , approximation error , nickel , control theory (sociology) , mechanics , electronic engineering , materials science , computer science , algorithm , electrical engineering , mathematics , thermodynamics , mathematical analysis , engineering , physics , metallurgy , power (physics) , control (management) , artificial intelligence , programming language
This paper builds the equivalent circuit model for a single cell of zinc nickel single flow battery (ZNB) with 300 Ah. According to the experimental data of the single cell under 100 A pulse discharge conditions, the model parameters can be obtained by parameter identification, and the analytical expressions for each model parameter can be obtained by using the method of high degree polynomial fitting and exponential function fitting, then the mathematical model of the stack voltage can be built. The relative error of the simulation results for stack voltage is controlled within 3.2% by experimental comparison, which verifies the accuracy of the model and model parameters. The parameter formulas obtained by fitting method can effectively solve calculation problem of the battery parameters. And under 100 A constant-current discharge condition, the stack voltage of the battery is dropping relatively flat over about 110 minutes after loading current, and dropping dramatically within about 50 minutes at the end of discharge due to the increasing polarization

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom