The "Intelligent Early Warning System" was officially delivered! The patent paper was published in the top international journal

How to solve the energy storage safety dilemma? The key lies in early safety warning monitoring.

Sermatec Energy has recently made important breakthroughs in the field of energy storage system safety monitoring! The company has officially delivered the self-developed "Intelligent Security Early Warning Box". This innovative device is specially designed for the safety of energy storage systems. It integrates artificial intelligence technology and is designed to monitor the operating status of the energy storage system in real time and predict and predict through intelligent algorithms. Diagnose potential faults to ensure higher safety of the energy storage system and significantly improve operation and maintenance efficiency.

To assist in the safe construction of the energy storage industry, the relevant technical research results of this equipment were published on April 13 in the top international journal "Applied Energy" (SCI Zone 1, TOP journal of the Chinese Academy of Sciences, with an impact factor of 11.2), which has important application value.

Sermatec Energy's "Smart Safety Warning Box" integrates artificial intelligence technology. Its core function is based on advanced algorithms such as machine learning and deep learning, combined with a variety of sensors, to achieve accurate identification and warning of various fault types.

Core features:

Thermal runaway warning: Through real-time monitoring combined with a battery thermal runaway risk assessment model, the risk of battery thermal runaway can be accurately predicted, effectively preventing safety accidents caused by battery thermal runaway and safeguarding the safety of the energy storage system.

Consistency deviation warning: Use battery consistency analysis algorithm to analyze battery consistency deviation and make predictions based on battery cell models and historical data to ensure consistent performance of each battery in the battery pack, improve system reliability and extend equipment life.

Overcharge warning: Real-time monitoring of the battery's charging status. Once the charging voltage tends to exceed the safety threshold, a warning is triggered, effectively avoiding life degradation and safety issues caused by battery overcharging.

Abnormal attenuation warning: Based on the abnormal battery capacity attenuation prediction model, the abnormal battery attenuation trend can be discovered early, extending the battery life and reducing operation and maintenance costs.

In addition, this early warning box has a wide range of applicability. It is not only suitable for Sermatec Energy's industrial and commercial energy storage systems, but also for containerized energy storage systems, providing customers with safer and more reliable energy storage solutions.

Sermatec Energy's "Intelligent Safety Warning Box" technological achievement has important application value in the safety construction of the energy industry and has set a new benchmark for the safe development of the industry.

It is worth mentioning that in order to effectively promote the safety construction of the industry, the latest research results of Sermatec Energy's "Intelligent Safety Warning Box" related technologies were published on April 13 in the top international journal "Applied Energy" (SCI Zone 1, TOP journal of the Chinese Academy of Sciences, with an impact factor of 11.2).

The research result, titled "Multi-source domain transfer learning with small sample learning for thermal runaway diagnosis of lithium-ion battery", proposed an innovative solution to the problems of high data acquisition cost and difficulty in ensuring diagnostic accuracy in thermal runaway diagnosis of lithium-ion battery.

The Sermatec Energy Research Team has developed a diagnostic method for multi-source domain transfer learning (MDTL-FSL), which combines the ideas of small sample learning and adversarial learning. By utilizing multiple related thermal runaway case data, it achieves efficient and accurate thermal runaway diagnosis.

Experimental verification shows that when thermal runaway is triggered under different types of batteries and different operating conditions, the MDTL-FSL algorithm can issue an early warning before thermal runaway occurs, providing a strong guarantee for the safe operation of the energy storage system.

Sermatec Energy's innovative technology and equipment not only contributes to the safe construction of the energy storage industry, but also provides new solutions for the safe operation of global energy storage systems.

In the future, Sermatec Energy will continue to deepen its research in the field of energy storage system safety technology and strive to provide customers with safer and more reliable energy storage solutions. At the same time, the company will also actively promote the promotion and application of related technologies and contribute to the sustainable development of the industry.