Performance Improvement of Lithium-ion Battery for Battery EVs

To maintain optimal battery performance and endurance, it is critical to understand the complex interplay between the chemical and physical components that determine how they function. Statistical approaches are used in this study to identify the variable components that influence the dependent vari...

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Bibliographic Details
Published in:	2024 International Conference on Communication, Computing and Internet of Things (IC3IoT) pp. 1 - 6
Main Authors:	Ramani, G, Kavin Kumar, K, Chitra, M, Panneer Selvam, M, Selvam, N, Sudha, S
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17-04-2024
Subjects:	Batteries Battery EVs LabVIEW Lithium-ion Battery Mathematical models Predictive models Rechargeable Battery technology State of charge Telecommunication computing Temperature dependence Temperature distribution
Online Access:	Get full text
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Summary:	To maintain optimal battery performance and endurance, it is critical to understand the complex interplay between the chemical and physical components that determine how they function. Statistical approaches are used in this study to identify the variable components that influence the dependent variable, which is the battery temperature. These factors include the capacitor's current impedance, cycle depth, discharge rate, and state of charge. It is critical to optimize the target variable in order to maximize the battery's chemical activity and achieve peak performance. To investigate the impact of temperature and dynamic factors on battery performance, as well as to determine whether there is a correlation between the two variables. The study's findings reveal insights that can help create techniques to increase the longevity and functionality of electric vehicle (EV) batteries by identifying elements that influence their usage levels.
DOI:	10.1109/IC3IoT60841.2024.10550395