How Is EMS (Energy Management System) Energy Strategy Working?

Traditionally, an energy system is nothing but a cluster of batteries. Only with an intelligent “brain” inside, can the system work as effective in cost and performance.

Eloncity EMS is built with AI energy strategy control algorithm, which allows the system to intelligently predict optimal charge and discharge powers from multidimensional data, e.g. weather, current local load power, historical electricity utilization, and solar tracking power.

Under its algorithm, solar photovoltaic utilization will be maximized and spare energy is then stored into battery once meeting all home needs. In the long term, optimization in depth of discharge will bring the longest battery life.

With EMS energy control, the owner never needs to worry about power shortage in a cloudy day, since his battery is already fully charged before whether changes. By synchronizing home load data from meter, EMS also ensures stored power is only used for home use rather than feeding back to grid.

For on-grid users, electricity bill can be greatly reduced by discharging in peak hours following demand charge algorithm.

Besides external data processing, EMS also saves internal operation device data like battery SOC and power to AI for deeper analysis and study.