Analysis of Cell Balancing Techniques for Li-ion Batteries

Effective cell balancing is crucial for optimizing the performance, lifespan, and safety of lithium-ion batteries in electric vehicles (EVs). This study explores various cell balancing methods, including passive techniques (switching shunt resistor) and active techniques multiple-inductor, flyback converter, and single capacitor), using MATLAB Simulink. The objective is to identify the most efficient method for maintaining balanced cell charge, thereby improving overall battery performance and reliability. Our simulations reveal that active balancing, particularly with the multiple inductor method, achieves faster balancing and higher efficiency compared to passive techniques. This research provides valuable insights into optimizing battery management systems for EVs, highlighting the trade-offs between balancing time, energy efficiency, and system complexity.

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Published
2024-10-18
DOI
https://doi.org/10.1109/ssitcon62437.2024.10796529
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
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Analysis of Cell Balancing Techniques for Li-ion Batteries

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Analysis of Cell Balancing Techniques for Li-ion Batteries

Shweta Koraddi, Parveen Khatal, Krithika Patgar, Shrinidhi Shambhoji, Raksha Kulal
article en
1 citations

Abstract

Effective cell balancing is crucial for optimizing the performance, lifespan, and safety of lithium-ion batteries in electric vehicles (EVs). This study explores various cell balancing methods, including passive techniques (switching shunt resistor) and active techniques multiple-inductor, flyback converter, and single capacitor), using MATLAB Simulink. The objective is to identify the most efficient method for maintaining balanced cell charge, thereby improving overall battery performance and reliability. Our simulations reveal that active balancing, particularly with the multiple inductor method, achieves faster balancing and higher efficiency compared to passive techniques. This research provides valuable insights into optimizing battery management systems for EVs, highlighting the trade-offs between balancing time, energy efficiency, and system complexity.

KLE Technological University (IN)
Affordable and clean energy
Openalex Percentile: Top 47%
Advanced Battery Technologies Research
0.20
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