Aramis Pérez

According to our database, Aramis Pérez authored at least 8 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A novel data-driven framework for driving range prognostics in electric vehicles.

Jorge E. García Bustos, Cesar Baeza, Benjamín Brito Schiele, Violeta Rivera, Bruno Masserano, Marcos E. Orchard, Claudio Burgos-Mellado, Aramis Pérez

Eng. Appl. Artif. Intell., 2025

2022

A Reliable and Simple Method to Estimate the Electric-Vehicle Battery State-of-Health.

Vanessa Quintero, Claudio Estevez, Marcos E. Orchard, Aramis Pérez, Jia Yuan Yu, Xiang Yu

Proceedings of the International Conference on Connected Vehicle and Expo, 2022

2020

Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications.

César Díaz, Vanessa Quintero, Aramis Pérez, Francisco Jaramillo, Claudio Burgos-Mellado, Heraldo Rozas, Marcos E. Orchard, Doris Sáez, Roberto Cárdenas

IEEE Trans. Veh. Technol., 2020

Design of a DuC-based MAC Protocol Considering Information Associated to the Battery.

Vanessa Quintero, Aramis Pérez, Claudio Estevez

Proceedings of the IEEE Latin-American Conference on Communications, 2020

2019

Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach.

Vanessa Quintero, Claudio Estevez, Marcos E. Orchard, Aramis Pérez

IEEE Commun. Surv. Tutorials, 2019

2018

Characterization of the degradation process of lithium-ion batteries when discharged at different current rates.

Aramis Pérez, Vanessa Quintero, Francisco Jaramillo, Heraldo Rozas, Diego Jiménez, Marcos E. Orchard, Rodrigo Moreno

J. Syst. Control. Eng., 2018

2017

Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges.

Aramis Pérez, Vanessa Quintero, Heraldo Rozas, Francisco Jaramillo, Rodrigo Moreno, Marcos E. Orchard

Proceedings of the 4th International Conference on Control, 2017

2015

Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles.

Daniel A. Pola, Hugo F. Navarrete, Marcos E. Orchard, Ricardo S. Rabie, Matías A. Cerda Munoz, Benjamín E. Olivares, Jorge F. Silva, Pablo A. Espinoza, Aramis Pérez

IEEE Trans. Reliab., 2015