The intelligent orderly charging control system for electric vehicles developed by our company relies on the automation system models and data of several established power grid companies, such as the power grid dispatching automation system, the distribution automation master station system, and the power consumption information acquisition system. It uses advanced automation modeling technology, Internet technology, big data technology, etc., with the goal of reliable and safe operation of the power grid, reducing unnecessary grid investment, and improving economic benefits, to provide users with effective automatic power distribution and regulation functions of charging stations (charging piles).

System features

Modular design and flexible deployment of the system.

Using big data technology, calculate charging optimization solutions based on user charging behavior and charging facility characteristics.

The platform is open, which facilitates third-party operation platforms to timely understand the distribution of charging loads.

Intelligent decision-making assistance, based on historical data and future development decisions, helps users to construct and renovate distribution transformers and charging facilities in a reasonable manner.

system function

Data collection, including charging station distribution data, real-time data of charging piles, parameters of electric vehicle BMS system, etc.

Real time computational processing, including statistical analysis, historical data storage, control command issuance, real-time data distribution, computational processing, etc.

Charging load monitoring: charging power, pile parameters, vehicle parameters, dynamic distribution of charging demand, etc.

Access to operational information related to the regional power grid (power, load forecasting, electricity consumption plan).

Access regional distribution network related operational information.

Calculation and generation of ordered charging schemes.

Send control commands to the orderly charging control unit, including real-time control commands, short-term load control data, long-term load control data, and other interactive data.