evPower.ai
Evpower provides AI‑driven energy management software for fast‑charging networks, enabling operators to lower electricity bills by shaping demand and mitigating peak‑charge fees. Its driver‑aware algorithm and proprietary charging‑curve modeling allow safe oversubscription of chargers, boosting utilization and reducing queues while integrating storage and on‑site generation as profit centers. The platform plugs into any charger or CPMS and includes a digital twin for real‑time optimization of BESS, PV, and grid interactions.
- Artificial Intelligence
- Clean Technology
- Energy
- Enterprise Software
Funding
Founders
Product
Problem
Fast‑charging networks face high electricity demand charges and underutilized infrastructure, which limit profitability and can lead to long driver queues. Operators also struggle to monetize on‑site storage and solar assets while maintaining safe, efficient charging.
Solution
Evpower offers an AI‑driven energy management platform that continuously shapes power usage to lower peak demand charges and optimize every kilowatt delivered. By modeling individual charging curves, the system safely oversubscribes chargers, more than doubling utilization without compromising safety or driver experience. Real‑time driver‑aware algorithms prioritize sessions to reduce wait times and eliminate charger starvation. The platform also integrates with battery‑energy storage systems and on‑site photovoltaic generation, using digital‑twin planning to schedule charging, discharging, and grid consumption for additional revenue streams. Integration is plug‑and‑play, working with any charger hardware and charge‑point management system.
Target Audience
Primary customers are operators of fast‑charging hubs and network owners who manage multiple charge points, on‑site storage, and renewable generation assets.
Features
- Real‑time power shaping to mitigate demand charges and reduce electricity bills
- Proprietary charging‑curve modeling that enables safe oversubscription of chargers by over 2×
- Driver‑aware scheduling algorithm that speeds charging, minimizes queues, and prevents charger starvation
- AI‑controlled optimization of on‑site battery storage and solar generation to create new revenue streams
- Plug‑and‑play integration compatible with any charger and charge‑point management system (CPMS)
- Digital twin planning tools for predictive management of grid, storage, and generation assets