20.500.12556/DKUM-79629 Implementacija SOC algoritma za baterijsko celico z identifikacijo parametrov ESC modela s pomočjo genetskega algoritma magistrsko delo Implementation of a SOC algorithm for a battery cell with identification of ESC model parameters using genetic algorithm 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. 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. baterija SOC ESC battery SOC ESC true true false [M. Antončič] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2021-08-04 10:48:47 2021-10-18 07:27:48 2022-08-09 21:49:39 0000-00-00 00:00:00 2021 0 Maribor 0 Maribor IX, 67 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8.021:681.5.015(043.2) 86402819 MAG_Antoncic_Marko_2021.pdf MAG_Antoncic_Marko_2021.pdf 1 D491D3F4F0A54F3E92E4796C374EBC1E 4fff3e3b2bf81414c6d8a8bc95b65aa9a3921ce21ac77042086c9a49a0ba801e 38f9517b-fae7-11eb-82c7-00155d581298 20.500.12556/dkum/fe64fa55-0093-4958-b489-20864a2e9fd8 https://dk.um.si/Dokument.php?lang=slv&id=151639 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0