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

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


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, ...Show More

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.
Date of Conference: 18-20 June 2012
Date Added to IEEE Xplore: 19 July 2012
ISBN Information:
Conference Location: Dearborn, MI, USA

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Polynomial coefficients.

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