An energy storage system simulation requires a battery model capable of precisely predicting the dynamic behaviour 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 utilised to parameterise ECM components properly. The goal of this study is to discuss two systematic approaches to decide the ECM 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 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 utilised to validate the ECMs through hardware-in-loop testing.
Comparison of Li-ion battery equivalent circuit modelling using impedance analyzer and Bayesian networks
IET Electrical Systems in Transportation ; 8 , 3 ; 197-204
2018-04-03
8 pages
Article (Journal)
Electronic Resource
English
ECM , time domain testing , energy storage system simulation , battery model , dynamic drive cycle , time-domain analysis , e-bike , electric drives , frequency domain testing , electric bicycle Liion battery , lithium compounds , impedance analyzer approach , MATLAB-Simulink environment , ECM circuit element estimation , Li-ion battery equivalent circuit modelling , frequency-domain analysis , secondary cells , Samsung ICR18650-22P , Bayesian network method , battery powered vehicles , bicycles , Bayes methods , I-V characteristics , equivalent circuits , hardware-in-loop testing , electric circuit
Metadata by IET is licensed under CC BY 3.0
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