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 Background: Industry Challenges Driving Technological Transformation

In the current wave of energy transition, commercial and industrial energy storage systems are experiencing booming growth, both in capacity and number of installations. However, as application scenarios become increasingly diverse, operating conditions more complex, and customer demands more varied, these energy storage systems are encountering unprecedented challenges. Industry data reveals that battery abnormalities have become the core factor in the unplanned downtime of energy storage stations, with an average outage duration of 3.65 hours per incident, and accounting for as much as 46% of incidents leading to safety accidents. This not only severely impacts the normal operation of energy storage facilities but also poses significant economic losses and safety hazards. Consequently, the perception and diagnosis of battery health status, along with early warning of lifespan and potential failures, are becoming key demands for the further development of the industry.

 Innovation Highlights: Tech Fusion & Advanced Applications

Starting from the actual application demands of C&I energy storage, the R&D team of Huazhi Energy has thoroughly analyzed and researched the historical data of nearly 4,000 cabinets and millions of hours of real application scenarios, thus successfully developing a refined and intelligent new MFE-GRU-TCA prediction model.

The model enables real-time, high-accuracy monitoring and prediction of the State of Health (SOH) and Remaining Useful Life (RUL) of lithium-ion batteries, while providing timely fault alerts—significantly enhancing the safety and energy efficiency.

The MFE-GRU-TCA prediction model is designed in a modular form, mainly including a data pre-processing module, a feature extraction module and a prediction network module. 

MFE-GRU-TCA model

The prediction model leverages vast amounts of data generated during battery operation to conduct in-depth data fitting and modeling tailored to various features and stages. This includes coupling feature mining within and between cycles, the extraction of multidimensional features closely related to battery capacity degradation, and the state mirroring at different degradation stages. These capabilities enable real-time predictions of battery voltage, current and temperature, providing a basis for early warning and management of potential faults.

Battery voltage, current, and temperature curve prediction results

 Furthermore, the research team has developed 8 health factors, achieving high-precision estimations of State of Health (SOH) and State of Charge (SOC), thereby enabling precise lifecycle management of the integrated system.

Visualization results of battery SOH prediction

The breakthrough in this key technology has significantly extended the predictive maintenance cycle for battery energy storage systems, enhancing the predictability of battery status. Additionally, it has introduced remarkable advantages in operational control: on one hand, it achieves coordinated balancing, allowing individual battery units within the storage system to operate more harmoniously and efficiently; on the other hand, it effectively reduces power consumption, improves energy utilization efficiency, and accurately meets grid scheduling demands. This also facilitates the optimization of charging and discharging strategies, providing robust support for the collaborative operation of  ESS and the grid.

Value Proposition: Industry Advancement & Optimizing End-to-End Value

Currently, battery management technology is undergoing a crucial transition from primarily monitoring battery status to proactive control and anticipatory management. This shift is essential to meet the increasing demands of integrating renewable energy sources and the stringent requirements of new power systems. Huazhi R&D team always stands at the forefront of the industry, committed to using more scientific and advanced technical means to assess and accurately predict the health status of lithium-ion batteries, constantly exploring new algorithms and strategies, striving to improve the accuracy and timeliness of predictions, enhance the system's adaptive capabilities, and significantly reduce maintenance costs.

Huazhi Energy, with its exceptional technological innovation and profound insights into industry development, consistently supports energy storage systems in achieving safe, efficient, and long-life operations. This commitment maximizes the value of the entire lifecycle, contributing robustly to energy transformation and sustainable development, and provides smarter, more reliable energy services across various sectors.