Comparison of Li ion battery equivalent circuit modelling using impedance analyzer and Bayesian networks Articles uri icon

publication date

  • September 2018

start page

  • 197

end page

  • 204

issue

  • 3

volume

  • 8

International Standard Serial Number (ISSN)

  • 2042-9738

Electronic International Standard Serial Number (EISSN)

  • 2042-9746

abstract

  • An energy storage system simulation requires a battery model capable of precisely predicting the dynamic behavior and I-V characteristics. An equivalent circuit model (ECM) of a battery generates an electric circuit able to replicate complicated battery characteristics. Combination of time domain and frequency domain tests can be utilized to parameterize ECM components properly. The goal of this paper is to discuss two systematic approaches to decide the equivalent circuit model parameters, which can be replicated on any battery technology. Time and frequency domain testing are carried out on a commercial electric bicycle Li-ion battery composed of Samsung ICR18650-22P. Then, Impedance Analyzer approach and Bayesian Network (BN) method are applied to estimate the ECM circuit elements with different circuit topologies. The models were developed in MATLAB/ Simulink environment. A highly dynamic drive cycle based on the E-Bike was utilized to validate the ECMs through hardware-in-loop testing.

subjects

  • Industrial Engineering

keywords

  • secondary cells; lithium compounds; equivalent circuits; bayes methods; frequency-domain analysis; time-domain analysis; bicycles; battery powered vehicles; electric drives