An Online Method of Estimating State of Health of a Li-Ion Battery

Simple item page
dc.contributor.authorGoud, J.S.
dc.contributor.authorKalpana, R.
dc.contributor.authorSingh, B.
dc.date.accessioned2026-02-05T09:27:19Z
dc.date.issued2021
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.
dc.identifier.citationIEEE Transactions on Energy Conversion, 2021, 36, 1, pp. 111-119
dc.identifier.issn8858969
dc.identifier.urihttps://doi.org/10.1109/TEC.2020.3008937
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/23308
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectCharging (batteries)
dc.subjectIons
dc.subjectLithium compounds
dc.subjectLithium-ion batteries
dc.subjectPhotovoltaic cells
dc.subjectReliability
dc.subjectRenewable energy resources
dc.subjectCoulomb counting method
dc.subjectDepth of discharges
dc.subjectEstimation methods
dc.subjectExperimental prototype
dc.subjectOn-line estimation
dc.subjectRenewable energy systems
dc.subjectSolar photovoltaic system
dc.subjectSystem reliability
dc.subjectBattery management systems
dc.titleAn Online Method of Estimating State of Health of a Li-Ion Battery

Files

Collections

Journal Articles