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A novel lifetime prediction method for lithium-ion batteries in the case of stand-alone renewable energy systems
, Article International Journal of Electrical Power and Energy Systems ; Volume 103 , 2018 , Pages 115-126 ; 01420615 (ISSN) ; Dufo López, R ; Roshandel, R ; Bernal Agustin, J. L ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
This paper presents a mathematical formulation of lithium-ion batteries, including aging and temperature effects. The model is developed by integrating the simplified single particle model (SSPM) and reduced-order model (ROM) to predict solid electrolyte interphase growth (SEI). Results show agreement with the experimental data at 25 °C operating temperature and moderate cycling currents. A maximum error of 3.6% in finding the battery discharged Ah is observed in harsh operating conditions, including 60 °C and approaching the end of life of the battery. Due to the typical operating conditions of stand-alone renewable energy systems, more accurate estimations are expected. Finally, this...