Real-world driving cycle and battery state estimation dataset for vehicles

This dataset is associated with the doctoral thesis completed in the Program in Mechanical Engineering, titled “An integrated approach to dynamic power management in electrified vehicles based on intelligent battery state estimation and experimental validation”, authored by Matheus Henrique Rodrigues Miranda, under the supervision of Prof. Dr. Ludmila Corrêa de Alkmin e Silva.

One of the main objectives of the work is the development of a methodology for estimating the state of charge (SoC) and state of health (SoH) of batteries used in electrified vehicles. To this end, models based on artificial neural networks were employed, trained using multiple public databases. The references and links to these databases are documented in the files associated with this repository.