Transportation Electrification

Our UF-GDMS enhances the electric grid's hosting capacity for interconnecting L-2 and L-3 EV charging systems. It optimizes charging process with real-time EVSE management, reducing charging time and minimizing power outages. UF-GDMS is a game-changer for the electric vehicle industry, paving the way for a more sustainable future. It accelerates the transition to a cleaner and greener world, making electric vehicles more practical for everyone

Revolutionizing Transportation Electrification

The Next-Gen, Ultra-Fast Electric Grid Distributed Management System (UF-GDMS)

To achieve the essential reduction in GHG emissions, a compelling transformation is needed. In the G7 member states, a pivotal milestone is set: 100% of cars and vans must be Zero-Emission Vehicles (ZEVs) by 2035, followed by 100% of buses and trucks by 2040. This ambitious vision demands substantial

investments in both vehicles and charging infrastructure. The Global Vehicle Electrification market, valued at USD 82.13 billion in 2021, is projected to soar to USD 186.8 billion by 2030, boasting a notable CAGR of 9.56%.* The journey ahead however entails an even more substantial investment, resulting in a current deficit of approximately $18 billion. Energy storage technologies have the potential to significantly reduce CAPEX for transportation electrification. Yet, they currently lack the ability to coordinate their operation with both the EV-charging fleet and the grid. Therefore, the full utilization of storage technologies necessitates the implementation of effective grid management systems.

Limitations of Existing Grid Management Systems for Transportation Electrification

Operating in minutes and above leading to underutilization of storage technologies for transportation electrification

Operating based on historical data and not addressing non-deterministic events that can occur in transportation electrification

Operating in minutes and above leading to underutilization of storage technologies for transportation electrification

Grid electrification causes sudden events that current management can't handle, leading to an unreliable grid and highlighting management limitations.

The Consequences of an Unreliable and Vulnerable Electric Grid Management System

Limited Fast EV Charging Infrastructure

Existing management systems cannot fully utilize energy-storage technologies. Hence, the electric grid has congestion issues and lacks adequate hosting capacity for interconnection of DC fast (L-3) EVcharging systems.

Interoperability Issue for V2G, VPP, ....

Charging infrastructures are restricted from implementing new features and generating revenue due to limitations in current management systems, which hinders V2G, V2H, VPP, and other related services.

Vulnerability to Communication Failure

To prevent inconvenience for EV owners, it is crucial to ensure reliable communication for seamless and efficient EV charging. A reliable communication system guarantees hassle-free charging.

Manage Electric Fleet Storage With a Reliable System?

The UF-GDMS is capable of utilizing energy-storage technologies up to their 100% potential, maximizing your ROI, and reducing your CAPEX & OPEX on average down to 50% and 40%; respectively, during your journey to an all-electric transportation system.

Key Technical Features of our Patented Grid Management System

In-millisecond Operation Time

Detecting accidental events in the operation of the EV-SupplyingEquipment (EVSE), enabling remedial actions, and enforcing those actions using storage technologies, all within a millisecond timeframe of the grid operation.

Proactive DecisionMaking Algorithm

Computationally powerful to proactively handle up to millions of potential events like voltage and frequency excursions, power draw limitation, isalnding condition, etc. and maintain continuity of operation of the EVSE.

Distributed Management for a Distributed Grid

The embedded management system can be deployed in a hierarchical manner over the mining infrastructure, effectively overcoming communication obstacles and maximizing the EVSE and its supplying grid’s resiliency in the event of partial disruptions.