期刊
IET ELECTRICAL SYSTEMS IN TRANSPORTATION
卷 8, 期 3, 页码 197-204出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-est.2017.0087
关键词
secondary cells; lithium compounds; equivalent circuits; Bayes methods; frequency-domain analysis; time-domain analysis; bicycles; battery powered vehicles; electric drives; hardware-in-loop testing; e-bike; dynamic drive cycle; MATLAB-Simulink environment; ECM circuit element estimation; Bayesian network method; impedance analyzer approach; Samsung ICR18650-22P; electric bicycle Liion battery; time domain testing; frequency domain testing; electric circuit; ECM; I-V characteristics; battery model; energy storage system simulation; Li-ion battery equivalent circuit modelling
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.
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