Original title: Calculating Electric Vehicle Range Using Dynamic Programming with Battery Current and Velocity Setpoints
Authors: Sedláček, O. ; Uglickich, Evženie
Document type: Research reports
Year: 2024
Language: eng
Series: Research Report, volume: 2398
Abstract: 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.
Keywords: dynamic programming; electric vehicle range; regression model
Project no.: 9A22004, 101096884
Funding provider: GA MŠk, Listen2Future

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: https://library.utia.cas.cz/separaty/2024/ZS/uglickich-0602464.pdf
Original record: https://hdl.handle.net/11104/0359711

Permalink: http://www.nusl.cz/ntk/nusl-668591


The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Reports > Research reports