Efficient

Intelligent Battery Management

The state of lithium batteries continuously changes throughout their lifecycle. Traditional BMS management parameters, calibrated based on laboratory sample data, cannot accurately match the latest battery status. Continuous adjustments based on operational data are essential to enhance management efficiency, extend lifespan, and fully utilize lithium batteries.

Economic

Intelligent Operation of Power Stations

The investment cost for commercial and industrial energy storage systems is high, with a long payback period. Profit is generated through peak shaving, demand management, and enhanced wind and solar energy consumption. Participation in virtual power plants can generate additional revenue. The economic viability of the energy storage system is determined by smart operation management strategies based on multiple factors over the full lifecycle.

Safety

Intelligent Safety Alerts

Unmanaged lithium batteries pose significant safety risks. When batteries are subjected to thermal shock, overcharging, deep discharging, short circuits, vibration, or compression, the internal active materials and electrolytes can undergo unexpected chemical reactions, leading to thermal runaway. It is crucial to identify abnormalities early and initiate proactive alerts.

Intelligent

Artificial Intelligence Decision-Making

Based on data-driven lifecycle management, through IoT, endpoints are connected to the cloud for bidirectional real-time communication. Big data and machine learning algorithms enable cloud-based continuous balanced management. This automatically optimizes the design of the best scheduling plans, ensuring efficient and low-carbon operation of the energy storage system.