Advanced Energy Technologies
Development of Lifetime Prediction Model of Lithium-Ion Battery Based on Minimizing Prediction Errors of Cycling and Operational Time Degradation Using Genetic Algorithm

Mohammad Zarei-Jelyani; Mohammad Sarshar; Mohsen Babaiee; Nima Tashakor

Volume 5, Issue 3 , September 2018, , Pages 60-63

https://doi.org/10.30501/jree.2018.93531

Abstract
  Accurate lifetime prediction of lithium-ion batteries is a great challenge for the researchers and engineers involved in battery applications in electric vehicles and satellites.  In this study, a semi-empirical model is introduced to predict the capacity loss of lithium-ion batteries as a function ...  Read More