AI-Enabled Dynamic Load Management for OEMs and CPOs
Regular DLM has its limitations, which revolve around the lack or shortage of data. Without real-time data, DLM is rigid.
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Dynamic Load Management with Artificial Intelligence
Most of your charging stations in busy areas are already faced with enough duty to manage the charging of so many EVs, and this is only going to grow.
By 2025, about 6.3 million new EVs are expected to be sold in Europe alone. So your responsibilities are about to rise, how do you intend to manage this uptake?
If your current DLM only sets a maximum power limit that each EV can draw so that power is spread evenly among them, you are only scratching the surface.
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Load Limit Elasticity
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Auto-distribution of energy based on chargers' capacities
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Energy distribution using EV drivers' details
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MAKE the right decisions
Spoiler: Benefits are enormous when your DLM software is enhanced with an AI algorithm.
Hive Power’s FLEXO is a cloud-to-cloud AI Vehicle-to-Grid (V2G) solution for EV Fleet Managers, OEMs, and CPOs that optimise electric vehicles' charging cycles to increase ROI and provide essential grid services.
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AI-Enabled Dynamic Load Management for OEMs and CPOs
Regular DLM has its limitations, which revolve around the lack or shortage of data. Without real-time data, DLM is rigid.
