Mathematical modeling of Li-ion battery for charge/discharge rate and capacity fading characteristics using genetic algorithm approach

Kannan Thirugnanam, Himanshu Saini, Praveen Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

44 Scopus citations

Abstract

The objective of this work is to develop an accurate Battery Model (BM) and Capacity Model (CM) to study the performance of vehicle-to-grid interaction. Using BM and CM, the amount of capacity fading is analyzed while the power is stored in the battery or transferred to the grid. The BM is developed for Li-ion battery based on the Electrical Equivalent Circuit (EEC) and the CM is proposed based on processed energy for different charging/discharging rate. The proposed model is simulated using MATLAB Simulink environment and the parameters are optimized using Genetic Algorithm (GA) approach to compare the results with manufacturer's catalogue data. The obtained battery characteristics are in close agreement with the measured (manufacturer catalogue) characteristics.

Original languageEnglish
Title of host publication2012 IEEE Transportation Electrification Conference and Expo, ITEC 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE Transportation Electrification Conference and Expo, ITEC 2012 - Dearborn, MI, United States
Duration: Jun 18 2012Jun 20 2012

Publication series

Name2012 IEEE Transportation Electrification Conference and Expo, ITEC 2012

Conference

Conference2012 IEEE Transportation Electrification Conference and Expo, ITEC 2012
Country/TerritoryUnited States
CityDearborn, MI
Period06/18/1206/20/12

Keywords

  • Battery model
  • Li-ion
  • battery
  • capacity fading
  • capacity model
  • electrical equivalent circuit
  • genetic algorithm
  • state-of-charge
  • vehicle-to-grid

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