• Battery energy storage systems modelling based on remaining useful lifetime through regression algorithms and binary classifiersZequera, Rolando Antonio Gilbert22nd International Symposium “Topical Problems in the Field of Electrical and Power Engineering”. Doctoral School of Energy and Geotechnology III : Pärnu, Estonia, August 23-26, 20232023 / p. 93-94 : ill https://www.ester.ee/record=b5570906*est
• Deep Learning methodology for charging management applications in battery cells based on Neural NetworksZequera, Rolando Antonio Gilbert; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Transactions on Intelligent Vehicles2024 https://doi.org/10.1109/TIV.2024.3417216
• Electric and hybrid vehicles : From smart energy storage systems to mechanical transmissionSekhri, Even; Ibrahim, Mahmoud Hassanin Mohamed; Zequera, Rolando Antonio Gilbert; Rassõlkin, AntonSmart Electric and Hybrid Vehicles : Advancements in Materials, Design, Technologies, and Modeling2025 / p. 71-126 https://doi.org/10.1002/9781394225040.ch3
• Overview of battery energy storage systems readiness for digital twin of electric vehiclesZequera, Rolando Antonio Gilbert21st International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Pärnu, Estonia, June 15-18, 20222022 / p. 103-104 https://www.ester.ee/record=b5504019*est