bibtype V - Research Report
ARLID 0602464
utime 20250526123453.7
mtime 20241208235959.9
title (primary) (eng) Calculating Electric Vehicle Range Using Dynamic Programming with Battery Current and Velocity Setpoints
publisher
place Prague
name ÚTIA AV ČR
pub_time 2024
specification
media_type P
edition
name Research Report
volume_id 2398
keyword electric vehicle range
keyword dynamic programming
keyword regression model
author (primary)
ARLID cav_un_auth*0203921
name1 Sedláček
name2 O.
country CZ
author
ARLID cav_un_auth*0383037
name1 Uglickich
name2 Evženie
institution UTIA-B
full_dept (cz) Zpracování signálů
full_dept Department of Signal Processing
department (cz) ZS
department ZS
full_dept Department of Signal Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url https://library.utia.cas.cz/separaty/2024/ZS/uglickich-0602464.pdf
cas_special
project
project_id 9A22004
agency GA MŠk
country CZ
ARLID cav_un_auth*0459135
project
project_id 101096884
agency Listen2Future
country XE
ARLID cav_un_auth*0478292
abstract (eng) 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.
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2025
num_of_auth 2
mrcbC52 2 O 4 4o 4 20250526123444.8 4 20250526123453.7
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0359711
confidential S
arlyear 2024
mrcbTft \nSoubory v repozitáři: 0602464.pdf
mrcbU10 2024
mrcbU10 Prague ÚTIA AV ČR
mrcbU56 pdf