DC Container
With SynVista’s manufacturing and integration capabilities of source-grid DC energy storage systems as the core, combined with a professional technical team and advanced digital platform.
DC Container
DC Container (BESS) is designed with long-life battery cells and robust electrical components, ensuring safe and stable operation even in harsh environments. It features an advanced liquid coolant distribution system in large special range. It delivers exceptional performance, maintaining optimal efficiency and reliability even in high ambient temperatures. DC Container supports more efficient and cost-effective project deployments that meets local market and customer requirements.
Product Overview
FEATURES
- Optimal Cost
High energy density, over 5MWh nominal capacity within a 20-ft single enclosure, effectively optimizing land usage and reducing costs.
Intelligent liquid coolant distribution system to optimize the auxiliary power consumption, guarantee high efficiency and availability.
- Safety and Reliability
Early safety alerts by force detection and whole cell temperature/voltage detection;
IP67-rated pack design, multi-level fire protection;
High-reliability system architecture with electrical redundancy protection.
- Fast Delivery
Fully integrated smart manufacturing and function test in factory, quick on-site installation and accelerated commissioning process.
- Configuration Flexible
Implement your projects with flexible options built on a unified product architecture, with capacity upgrading easily from 2h to 4h.
RATED ENERGY
5MWh
DISCHARGE DURATION
2 – 4 hours
APPLICATIONS
- Energy Arbitrage
- Flexible and adaptive strategies for peak shaving
- Frequency Regulation
- Black Start
- T&D Enhancement
- Renewable Integration
- Reserve Capacity (Spin/Non-Spin)
STANDARDS & CONFORMITY
- System Safety: UL9540
- Battery Safety: UL9540A, UL1973
- Fire Protection: NFPA 68 or NFPA 69
- Transportation: UN38.3, UN3536
The SynVista Technology Stack
SynVista Cube
Factory-built, highly-modular, standardized form factor leads to safe, scalable, cost-effective systems configurable with the latest storage components.
Safety Management
Developed a large-scale pre-training model, PERB1.0 (Pre-training Encoder Representation for Battery) for battery time series data. The data is of great significant to the real status of battery, contributing to advanced SOC management and predictive maintenance.
Contact Information
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