Title :
Mathematical modeling of Li-ion battery for charge/discharge rate and capacity fading characteristics using genetic algorithm approach
Author :
Thirugnanam, Kannan ; Saini, Himanshu ; Kumar, Praveen
Author_Institution :
Indian Inst. of Technol. Guwahati/Electron. & Electr. Eng., Guwahati, India
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.
Keywords :
battery powered vehicles; equivalent circuits; genetic algorithms; lithium; secondary cells; EEC; GA approach; Li; Li-ion battery; Matlab-Simulink environment; battery model; capacity fading characteristics; capacity model; charge-discharge rate; electrical equivalent circuit; genetic algorithm approach; mathematical modeling; vehicle-to-grid interaction; Batteries; Battery charge measurement; Discharges (electric); Fading; Integrated circuit modeling; Mathematical model; Voltage measurement; Battery model; Li-ion; battery; capacity fading; capacity model; electrical equivalent circuit; genetic algorithm; state-of-charge; vehicle-to-grid;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2012 IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4673-1407-7
Electronic_ISBN :
978-1-4673-1406-0
DOI :
10.1109/ITEC.2012.6243431
