| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Implementacija SOC algoritma za baterijsko celico z identifikacijo parametrov ESC modela s pomočjo genetskega algoritma : magistrsko delo
Authors:ID Antončič, Marko (Author)
ID Šafarič, Riko (Mentor) More about this mentor... New window
ID Uran, Suzana (Comentor)
Files:.pdf MAG_Antoncic_Marko_2021.pdf (3,23 MB)
MD5: D491D3F4F0A54F3E92E4796C374EBC1E
PID: 20.500.12556/dkum/fe64fa55-0093-4958-b489-20864a2e9fd8
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Delo predstavlja algoritem za določanje stanja napolnjenosti baterije (SOC), ki temelji na ESC modelu baterije. Genetski algoritem se uporablja za določanje ESC parametrov. Za posamezno določanje ESC parametrov so potrebne specializirane naprave in postopki. Z uporabo predlaganega algoritma to ni potrebno. Algoritem je bil primerjan z metodo Coulombovega štetja za določanje SOC. Algoritem v primerjavi s metodo Coulombovega štetja ne potrebuje informacije o začetnem stanju SOC, ampak se ta vrednost poišče samodejno z GA. Predlagan algoritem je odporen tudi na "lezenje" vrednosti SOC za razliko od Coulombovega štetja. Algoritem je bil implementiran na mikrokrmilniku družine STM32F4, proizvajalca STMicroelectronics.
Keywords:baterija, SOC, ESC
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Antončič]
Year of publishing:2021
Number of pages:IX, 67 str.
PID:20.500.12556/DKUM-79629 New window
UDC:004.8.021:681.5.015(043.2)
COBISS.SI-ID:86402819 New window
Publication date in DKUM:18.10.2021
Views:828
Downloads:62
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:04.08.2021

Secondary language

Language:English
Title:Implementation of a SOC algorithm for a battery cell with identification of ESC model parameters using genetic algorithm
Abstract:The work presents an algorithm for determining the state of charge (SOC) of the battery, based on the ESC model of the battery. A genetic algorithm is used to determine ESC parameters. Using the proposed algorithm, we avoid using specialized devices and procedures that are normaly required for the determination of ESC parameters. The algorithm was compared with the Coulomb counting method. Presented algorithm compared to Coulomb counting method does not need information about the initial state of the SOC. The proposed algorithm is also resistant to "drift" in contrast to Coulomb's counting. The algorithm was implemented on a microcontroller of the STM32F4 family manufactured by STMicroelectronics.
Keywords:battery, SOC, ESC


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica