BENEFITS FOR FLEET OPERATORS

• Manage EV fleet charging patterns by taking advantage of intra-day fluctuations in transmission and energy charges
• Develop energy arbitrage strategy based on insights and live energy market pricing predictions
• Optimize charge and discharge cycles considering transit route constraints and per-vehicle battery characteristics
• Optimize use of on-site battery and solar PV to smooth out fleet charging electrical demand
• Maximize on-site battery and EV equipment endurance through intelligent optimization of charge and discharge cycles
• Provide real-time simulation and dashboarding for current states and future predictions of local EV charging assets.

BENEFITS FOR UTILITIES

• Actively manage load fluctuations by implementing demand response and pricing programs for fleet operators
• Defer and reduce the CAPEX associated with transmission and distribution upgrades required for EV adoption
• Optimally manage power flows to and from locations with large EV fleet charging loads
• Optimize across multiple objectives for grid operational constraints (peak shifting, frequency and voltage control, electrical distribution)
• Integrate vehicle-to-grid capabilities in support of grid optimization
• Provide real-time simulation and dashboarding for current states and future predictions of consolidated grid assets across multiple EV charging assets

Building the infrastructure required to support high proliferation of commercial fleet and personal EVs presents a significant challenge for both distribution companies and fleet operators. BluWave-ai provides informed and intelligent management of EV resources. Using data from utilities, energy markets, renewable generation forecasts, and operational data, it enables operators to shift the load to reduce peaks and net energy costs and implement demand-response and other services.

The result is a reduction in capital and operational costs. The ultimate goal is to reduce the barriers to EV adoption by minimizing operating costs for fleet operators while also deferring capital expenditure (CAPEX) for DSOs.

BluWave-ai Center manages user configuration, provisioning of distributed architecture and training of AI models.
BluWave-ai Edge ingests live device and sensor data, and makes recommendations in real-time.

LOW-RISK, MULTI-PHASED ONBOARDING PROCESS

To help you evaluate and quantify the benefits of using the BluWave-ai solution in your unique operation, we offer an opportunity assessment and model-building service as either the first phase of deployment or a standalone service. Learn more about our deployment process.

AI-ENABLED RESIDENTIAL EV DETECTION, LOAD PREDICTION AND DEMAND RESPONSE

The increased adoption of electric vehicles (EVs) in residential areas introduces challenges for distribution utilities who supply the increased energy demand to charge them. The utility needs to plan the infrastructure to manage the increased capacity and find non-wires alternatives to mitigate peak loads so it can avoid costly capital upgrades. BluWave-ai’s EV Everywhere solution eases the transition to high urban EV penetration.

READY TO DELVE DEEPER INTO ADDRESSING FLEET ELECTRIFICATION CHALLENGES?

BluWave-ai’s white paper, "When the Electric Utility Becomes Your Gas Station: AI-Enabled Energy Management for Successful Fleet Electrification"  examines how AI-enabled solutions use data in real-time to continuously learn, fine-tune and provide an optimal energy usage strategy for the entire depot, offloading the fleet and building management from dealing with this complex task, and saving millions of dollars. An AI-enabled energy optimization solution brings the electric utility control room capability into the fleet depot and lays the groundwork for successful fleet electrification.

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