Multi-Scale Fusion Model Based on Gated Recurrent Unit for Enhancing Prediction Accuracy of State-of-Charge in Battery Energy Storage Systems

Accurate prediction of the state-of-charge(SOC)of battery energy storage system(BESS)is critical for its safety and lifespan in electric vehicles.To overcome the imbalance of existing methods between multi-scale feature fusion and global feature extraction,this paper introduces a novel multi-scale fusion(MSF)model based on gated recurrent unit(GRU),which is specifically designed for complex multi-step SOC prediction in practical BESSs.Pearson correlation analysis is first employed to identify SOC-related parameters.These parameters are then input into a multi-layer GRU for point-wise feature extraction.Concurrently,the parameters undergo patching before entering a dual-stage multi-layer GRU,thus enabling the model to capture nuanced information across varying time intervals.Ultimately,by means of adaptive weight fusion and a fully connected network,multi-step SOC predictions are rendered.Following extensive validation over multiple days,it is illustrated that the proposed model achieves an absolute error of less than 1.5%in real-time SOC prediction.

Research progress,trends and prospects of big data technology for new energy power and energy storage system

The development of new energy industry is an essential guarantee for the sustainable development of society,and big data technology can enable new energy industrialization.Firstly,this paper presents an in-depth analysis and discussion of big data technology in new energy power and energy storage systems.Furthermore,the current status of big data technology application is discussed based on power generation,grid and user side,while future development trends are proposed based on the characteristics of big data technology.Finally,a comprehensive cloud-platform-based new energy power and energy storage system is proposed,which efficiently combines new energy power generation,consumption,and transmission sides to optimize energy allocation and improve energy utilization efficiency.This paper aims to provide certain guidance significance for new energy research and application.