Juliano Pimentel

NameJuliano Pimentel
Research instituteCollege of Science and Engineering
ORCIDhttps://orcid.org/0000-0002-4388-0146

Research outputs

A novel real-time battery state estimation using data-driven prognostics and health management

Pimentel, J., McEwan, A. and Yu, H. 2025. A novel real-time battery state estimation using data-driven prognostics and health management. Applied Sciences. 15 (5), pp. 1-21. https://doi.org/10.3390/app15158538

Data-Driven and Model-Based Prognostics and Health Management for Embedded Systems

Pimentel, J. 2025. Data-Driven and Model-Based Prognostics and Health Management for Embedded Systems. PhD Thesis University of Derby College of Science and Engineering https://doi.org/10.48773/qy7v7

Multi-step ahead battery SOC estimation using data-driven prognostics and health management

Pimentel, J., McEwan, A. and Yu, H. 2025. Multi-step ahead battery SOC estimation using data-driven prognostics and health management. ICSIE '24: 13th International Conference on Software and Information Engineering. Derby, United Kingdom 02 - 04 Dec 2024 ACM. https://doi.org/10.1145/3708635.3708642
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