Dynamic Load Management (DLM)
Optimize energy distribution in a simultaneous EV charging infrastructure avoiding grid overload issues and minimising operational costsGet in touch for more information
DLM is a smart software-based solution designed for managing energy in a multiple EV charging infrastructure working simultaneously. DLM manage the remaining available power dynamically and balances between the EV chargers in the most efficient way. This software makes it possible to customize how to distribute the power available depending on your needs.
EV priority chargers & equitable distribution
The DLM allows to distribute of energy in an equitable manner or prioritize one or several EV chargers based on occupancy. When choosing to distribute energy in an equitable way, all EVs will charge at the same speed, using the available power resources.
Alternatively, if prioritization is configured for one or several charging points, the DLM will smartly manage the power distribution. In this scenario, when the power demand exceeds the available capacity, the DLM will put vehicles on standby until sufficient power becomes available. The DLM will manage the chargers waiting list, ensuring that charging occurs prioritised and organised.
By offering these options, the DLM enables flexibility in load distribution, allowing users to optimize charging strategies based on their specific needs and priorities.
DLM work can be monitored remotely in real-time providing all installation’s power consumption information.
Building Management System combination
Many new buildings are equipped with Building Management Systems (BMS) to monitor and manage energy consumption, particularly in terms of efficiency and grid overload prevention. With the introduction of charging points, BMS systems can now incorporate this additional element for effective management. The DLM allows seamless integration with external monitoring software, including BMS or other monitoring systems. This integration enables comprehensive energy management and optimization within the existing infrastructure.