COMPUTER MODELING METHOD FOR BATTERY CHARGE AND DISCHARGE PROCESSES
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.3.2.43Keywords:
lithium iron phosphate battery, charging and discharging processes, historical data, equivalent circuit model, Least Squares Method, Genetic Algorithms methodAbstract
This paper addresses the challenge of modeling the charging and discharging processes of a lithium iron phosphate battery using historical operational data. The work’s main idea is to develop a method that can determine the terminal voltage, which characterizes the battery’s energy potential. This method takes into account key battery parameters and operating modes under various conditions.The research was carried out in two stages. First, historical data on the operation of a hybrid power supply system with an electrical energy storage battery was collected and analyzed. The structure and parameters of the equivalent circuit were substantiated, along with the dependencies for determining them based on statistical data. Statistical information on the battery’s operating modes within the power supply system was processed.In the second stage, we substantiated the feasibility and practicality of applying the Least Squares Method (LSM) or Genetic Algorithms (GA) to determine the coefficients for the arguments of the regression function representing the battery’s available (remaining) capacity. Coefficients were obtained for eight operating modes of the battery, which fully cover its operational range.This study is relevant due to the growing demand for effective tools to investigate the characteristics of power supply systems equipped with energy storage devices. Charging and discharging processes are fundamental to assessing battery lifespan, developing monitoring systems, and controlling operating modes. The developed method is useful when direct access to laboratory data is unavailable or when the manufacturer does not provide all the necessary information. Notably, the method enables simulation of battery operation under various usage conditions and for different power system configurations.The results can be applied when designing electrical systems that take into account the specific characteristics of this type of battery. The findings also allow for refining the operating parameters of an already installed battery, which can be beneficial during power supply system upgrades.
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