Particle-Filtering-Based State-of-Health Estimation and End-of-Life Prognosis for Lithium-Ion Batteries at Operation Temperature

Autor: Pola, Daniel, Guajardo, Felipe, Jofré, Esteban, L. Quintero, Vanessa, Perez, Aramis, Acuña, David, Orchard, Marcos

Publikováno v: Scopus-Elsevier
Repositorio Institucional de documento digitales de acceso abierto de la UTP
Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá

We present the implementation of a particle-filtering-based framework that estimates the State-of-Health (SOH) and predicts the End-of-Life (EOL) of Lithium-Ion batteries, efficiently incorporating variations of ambient temperature in the analysis. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a59f250cfea0eb66c739d02fede5b9f5
http://ridda2.utp.ac.pa/handle/123456789/6155