Enhancing the lithium-ion battery life predictability using a hybrid method

• Main Authors: Li, Ling Ling, Liu, Zhi Feng, Tseng, Ming Lang, Chiu, Anthony S.F.
• Format: text
• Published: Animo Repository 2019
• Subjects: Lithium ion batteries; Swarm intelligence; Industrial Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2137; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3136/type/native/viewcontent
• Institution: De La Salle University

This study contributes to proposing the improved bird swarm algorithm optimization least squares support vector machine (IBSA-LSSVM) model to predict the remaining life of lithium-ion batteries. By improving the prediction accuracy of the model, the safety and reliability of the new energy storage s...