Název: Calculating Electric Vehicle Range Using Dynamic Programming with Battery Current and Velocity Setpoints
Autoři: Sedláček, O. ; Uglickich, Evženie
Typ dokumentu: Výzkumné zprávy
Rok: 2024
Jazyk: eng
Edice: Research Report, svazek: 2398
Abstrakt: This work was made during an internship at Institute of Information Theory and Automation organized by Otevřená věda. The effort put into this internship resulted in a program simulating and predicting the range of a BMW i3 60 Ah electric car using Bayesian estimation of regression model and optimal control with dynamic programming. After a dataset is entered, the program trains models to be used for the simulation and then allows you to set setpoints to a vehicle speed or battery current. Once the simulation with the setpoints is completed, it will return the speed at which the car was traveling, how much current was drawn from the battery, and the range of the electric vehicle traveling at that speed. In addition, the graph of the ride of the simulated car is shown after the computation. We have used the driving data of the BMW i3 60 Ah electric car from publicly available datasets.
Klíčová slova: dynamic programming; electric vehicle range; regression model
Číslo projektu: 9A22004, 101096884
Poskytovatel projektu: GA MŠk, Listen2Future

Instituce: Ústav teorie informace a automatizace AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: https://library.utia.cas.cz/separaty/2024/ZS/uglickich-0602464.pdf
Původní záznam: https://hdl.handle.net/11104/0359711

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-668591