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dc.contributor.authorHossain, M.
dc.contributor.authorIslam, Syed
dc.contributor.authorPark, S.
dc.identifier.citationHossain, M. and Islam, S. and Park, S. 2017. Battery impedance measurement using sinusoidal ripple current emulator, 2017 IEEE Energy Conversion Congress and Exposition (ECCE 2017), pp. 2754-2759.

© 2017 IEEE. This paper presents a sinusoidal ripple current (SRC) emulator which superimposes an ac ripple current frequency into a dc charging current in order to produce a sinusoidal ripple current without a ripple current controller. It can be used for several purposes:1) to analyze the impact of ac ripple current magnitude and frequency on the battery internal characteristics; 2) to determine the parameters related to thermal rise and lithium plating; 3) to obtain more updated parameter information for improved utilization of a battery; 4) to determine the optimal ripple current frequency at the minimum impedance point by sweeping the ripple current frequency; 5) to utilize the obtained impedance data for estimating the battery circuit parameters and SOC level. The internal characteristics of batteries are complex and dynamic; therefore, it is beneficial to use the SRC emulator to validate SRC performance in a battery stack before integrating a SRC algorithm into a battery charger. This paper describes the development procedure of a SRC emulator to produce the electrochemical impedance spectroscopy (EIS) measurement for measuring the battery internal impedance. In order to validate the performance of the SRC emulator, a 12.8 V, 40 Ah Li-ion battery was charged at C/8 rate in CC mode with ± 1 App ac ripple current perturbation with an impedance from 20 Hz to 2 kHz.

dc.titleBattery impedance measurement using sinusoidal ripple current emulator
dc.typeConference Paper
dcterms.source.title2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
dcterms.source.series2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
dcterms.source.conference2017 IEEE Energy Conversion Congress and Exposition (ECCE 2017)
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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