Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

Abstract

The analysis of the behavior of lithium-ion batteries has gained considerable interest in recent years. There are different alternatives for the analysis of this behavior; however, depending on the type of modeling, there are application and optimization restrictions. In this work, a hybrid model has been made that is capable of predicting the characteristics of a lithium-ion battery. As a novelty, the simplification, at the same time, facilitates the sampling of parameters for their prompt selection for optimization. A new model open to the user is proposed, which has proven to be efficient in simulation time. For example, one hour simulates it in 5 min, providing information detailing how these parameters, State of Health (SOH), Open Circuit Voltage (VOC), State of charge (SOC), and Number of charge and discharge cycles, in the face of temperature variations and charge and discharge cycles. Opening the possibility of optimizing the parameters with different techniques to estimate the performance and dynamics in the face of temperature change and charge and discharge cycles. A model based on linear regressions, manufacturer characteristics, and integrating equations in the electrical model of electrochemical phenomena is proposed.

Directing the Uniformity of the Level of Pulse Charging of Li-Ion Batteries Used in Automotive Industry

“…Others report positive effects in terms of charging efficiency, charge time, and battery degradation, but feel the results are mixed [23]. To analyze the behavior of lithium-ion batteries, models based on linear regressions, manufacturer characteristics and integration of equations into an electrical model of electrochemical phenomena are proposed [24]. The Department of Transport of the Technical University of Moldova lacks scientific personnel and funding to conduct research of this level, therefore, the creation of a stand for studying the charging modes of real batteries using modern measuring equipment will contribute to obtaining new scientific results.…”

“…ЕMFс' = Uс ・ Voltage /100 (23) The value of the rated charging current of the capacitor as the product of the charging current at the battery charging voltage determined by the manufacturer and the correction factor [12] is determined by the formula: (24) The value of the charging current of capacitors with voltage equalization from a DC-DC source is determined by the formula: i= ngс I dc-dc ' = U dc-dc / ∑ Rgеquiv' (i) (25) i= 1 Electromotive force of a group of capacitors:…”

A Review on Battery Model-Based and Data-Driven Methods for Battery Management Systems

“…On the other hand, the analytical-mathematical models exploit empirical equations to exclusively and rapidly estimate characteristics of efficiency and residual charge without, however, allowing the evaluation of the internal parameters and the relationship between voltage and current at the terminals. Therefore, electrical models are the most versatile for analyzing a battery's static and dynamic behavior, expressed through voltage or current generators, resistors, and capacitors [32]. It should be noted that a model often used in BESS to relate the battery power to the state of charge [33] is the so-called generic model, which expresses the SOC as a function of the energy stored in the battery relative to its maximum capacity.…”

Optimizing Lithium-Ion Battery Modeling: A Comparative Analysis of PSO and GWO Algorithms

“…Besides SOC estimation, a practical battery model may also give insights into the thermal performance of the batteries to design an effective battery management system (BMS) [22,23]. Recently, electrical circuit models have gained popularity due to their computational efficiency and their ability to integrate electrochemical parameters to predict battery behavior under various conditions, such as temperature changes and charge/discharge cycles, as the authors presented in [24], where the system is modeled using MATLAB/Simulink version 2023a. The developed model has various applications, such as characterizing new lithium-ion batteries.…”