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A method for the reduction of the computational cost associated with the implementation of particle-filter-based failure prognostic algorithms
ArticleAbstract: Failure prognostic algorithms require to reduce the computational burden associated with their implePalabras claves:Online performance assessment, Prognostic algorithms, Time-of-Failure probability distributionAutores:Diego Jimenez, Jaramillo F., Medjaher K., Orchard M.E., Pérez A., Rozas H.Fuentes:scopusParticle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications
ArticleAbstract: Nowadays, electric vehicles such as cars and bicycles are increasing their popularity due to the risPalabras claves:Electromobility, lithium-ion batteries, Markov chains, Particle filtering, SOC prognostics, SoMPA prognosticsAutores:Burgos-Mellado C., Cárdenas-Dobson R., Díaz C., Doris A. Saez, Jaramillo F., Orchard M.E., Pérez A., Quintero V., Rozas H.Fuentes:scopusThermal modeling approaches for a licoo<inf>2</inf> lithium-ion battery—a comparative study with experimental validation
ArticleAbstract: Temperature pbkp_rediction of a battery plays a significant role in terms of energy efficiency and sPalabras claves:ANSYS, Lithium-ion battery, Lumped model, MSMD, Natural convection, Thermal managementAutores:Calderón-Muñoz W.R., Edwin Paccha-Herrera, Jaramillo F., Medjaher K., Orchard M.E.Fuentes:scopus