Abstract

Nowadays, electric vehicles are growing rapidly with various study about it, no exception regarding to the battery charging system. Electric vehicles use many types of battery, including NiMH battery. One of the study or research about charging system is about how to optimize battery charging using an intelligent algorithm. However, this method is rarely implemented in real-Time and only through the help of the computer software. In this project, we discuss the implementation of the Particle Swarm Optimization Algorithm as a real time optimization method on the charger controller with the hope of providing solutions according to the user needs. For the 3 optimization charging conditions the prototype results in calculations with error costs of 0.33%, 7.22%, and 5.55%, respectively, compared to the results in the simulation. With this value, the implementation of PSO in real-Time systems has achieved a 95% success rate.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages353-358
Number of pages6
ISBN (Electronic)9781665476508
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 - Surabaya, Indonesia
Duration: 22 Nov 202223 Nov 2022

Publication series

NameProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

Conference

Conference2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Country/TerritoryIndonesia
CitySurabaya
Period22/11/2223/11/22

Keywords

  • Charger Controller
  • Electric Vehicle
  • NiMH
  • PSO

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