Abstract: 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.
To address the challenges of the current lithium-ion battery pack active balancing systems, such as limited scalability, high cost, and ineffective balancing under complex unbalanced conditions, this study proposes a novel balancing structure based on a flyback transformer and switch matrix.
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. Conferences > 2024 IEEE 10th International
The sliding mode controller''s adaptability enables the assignment of varied weight coefficients to different objective functions, thereby enhancing the efficiency of battery pack balancing. Ultimately, simulation and bench experiments substantiate the efficacy of the proposed scheme in this study.
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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 …
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