Development of a degradation-conscious physics-based lithium-ion battery model for use in power system planning studies
Yang Li,
Mahinda Vilathgamuwa,
San Shing Choi,
Troy W. Farrell,
Ngoc Tham Tran and
Joseph Teague
Applied Energy, 2019, vol. 248, issue C, 512-525
Abstract:
A computationally-efficient and reliable method is developed to permit the simultaneous assessment of both the short- and long-term performance of lithium-ion battery in power system planning studies. Toward this end, a physics-based equivalent circuit model of the lithium-ion battery is derived in which side reaction-induced degradation of the battery is included. Whence a computational procedure is developed to enable the parametric values of the circuit elements in the equivalent circuit model to be automatically updated as the battery operates. The resulting model allows the increase in the internal resistance and the decrease in the energy storage capacity of the battery to be determined, based solely on the information of the power flows at the battery terminals. Dynamic simulation results obtained using the developed equivalent circuit model are shown to be in close agreement with those obtained from well-established electrochemical models, but at a much reduced computational burden.
Keywords: Lithium-ion battery; Battery energy storage system; Physics-based model; Degradation model; Power system planning studies (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (10)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:248:y:2019:i:c:p:512-525
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DOI: 10.1016/j.apenergy.2019.04.143
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