Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/16745
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGoud J.S.
dc.contributor.authorKalpana R.
dc.contributor.authorSingh B.
dc.date.accessioned2021-05-05T10:31:32Z-
dc.date.available2021-05-05T10:31:32Z-
dc.date.issued2021
dc.identifier.citationIEEE Transactions on Energy Conversion , Vol. 36 , 1 , p. 111 - 119en_US
dc.identifier.urihttps://doi.org/10.1109/TEC.2020.3008937
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/16745-
dc.description.abstractLi-ion batteries are playing a crucial role in the fields of renewable energy systems and electric vehicles. The reliability of these systems depends on a battery management system (BMS) which monitors the state of charge (SoC) and state of health (SoH) effectively. Knowing the SoH of a battery in advance enhances the system reliability. This article proposes an accurate online estimation of SoH of a Li-ion battery integrated in solar photovoltaic system (SPV) applications. The proposed method uses the modified coulomb counting method to estimate the SoH of a battery. The proposed SoH estimation method is simulated in MATLAB/Simulink by considering the aging factors such as temperature, charge/discharge rates and depth of discharge. Moreover, the proposed method is validated using an experimental prototype and the results are found to be satisfactory. © 1986-2012 IEEE.en_US
dc.titleAn Online Method of Estimating State of Health of a Li-Ion Batteryen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.