The OP-Energy Cloud, an energy management platform independently developed by Opess, applies digital twin technology to present the operation information of the energy storage stations in a 3D visualization form. The algorithm module can be loaded according to user needs, which can rapidly improve the availability of the system. Besides, the platform enables multi-terminal collaborative operation and maintenance, making it easier for users to adjust their peak-shaving and valley-filling power use strategy. Users can build a virtual power plant by integrating information of the resource, grid, load and storage on the platform.
We develop our battery health evaluation model based on large quantities of testing data and project experience, which is able to accurately evaluate the battery health status and detect potential safety hazards in time through battery resistance detection and the SOH algorithm.
High-accuracy SOC algorithm
Active and passive balancing technologies
Multi-dimensional digital monitoring
Multi-layer redundancy protection mechanism
Applicable to different scenarios
Big data algorithm
Easy to operate
Opess’s energy storage visualization system BSVS is the core of the entire energy storage system. It presents information of the energy storage power station, battery clusters, packs and even cells in a 3D form that enables the users to quickly gain a direct, clear, and complete understanding of the overall operation status. At the same time, the system is configured with advanced algorithms and operation strategies to suit different application scenarios such as new energy storage, user-end energy storage, and peak load and frequency regulation.
All energy storage systems are equipped with the intelligent battery protection system (IBPS) that ensures higher stability and safety
Visualization and modulization design that makes operation and maintenance easier and troubleshooting faster
Using B/S architecture that supports a variety of main browsers and poses no software-use threshold
BSVS is applicable to various application scenarios such as new energy storage, user-side energy storage, and frequency regulation and peak shaving.
Strong data calculation and analysis capacity that helps users better understand the operation status of the system from different dimensions
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