Abstract:

Battery energy storage management systems play a key role in modern energy networks. With the increasing requirements for energy efficiency and reliability of energy storage systems, the application of deep learning techniques in battery energy storage management has received widespread attention. The purpose of this paper is to discuss the innovative application and optimisation strategy of Transformer network technology in battery energy storage management. Firstly, this paper introduces the basic concept of battery energy storage management system and the main challenges faced at this stage. Then, it comprehensively analyses the current status of the application of deep learning technology in battery energy storage management, focusing on the performance of various network models and their effectiveness in practical applications. Finally, a battery energy storage management strategy based on the optimisation of Transformer architecture is proposed, which has significant advantages in enhancing system stability. The research in this paper not only provides new technical means for battery energy storage management, but also provides theoretical support and practical reference for the further development of related technologies in the future.

Key words: Transformer network technology, battery energy storage management, deep learning