Intelligent Cell Balancing Control for Lithium-Ion Battery Packs

Published On 2024

This study introduces a balancing control strategy that employs an Artificial Neural Network (ANN) to ensure State of Charge (SOC) balance across lithium-ion (Li-ion) battery packs, consistent with the framework of smart battery packs. The model targets a battery pack consisting of cells with diverse characteristics, reflecting real-world heterogeneous conditions. A fundamental aspect of this approach is the ability to bypass individual cells optimally. This key feature stops current flow to and from the cell, allowing it to rest and cool off while avoiding charging or discharging cycles. The implementation of ANN enables adaptive and dynamic management of SOC, which is essential for optimizing performance and extending the lifespan of battery packs. The results demonstrate the effectiveness of the proposed ANN-based balancing strategy in SOC balancing, demonstrating its potential as a critical solution in enhancing battery management systems for electric vehicles.

Published On

2024

Authors

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Professor at

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104

H-Index(since 2020)

72

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0

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Research Interests

Power Electronics

Smart Batteries

AI

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Remus Teodorescu

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Aalborg Universitet

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Remus Teodorescu

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