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ev.energy wins $11M CEC grant to expand California EV charging program

8 hours ago
By AI, Created 15:00 UTC, Oct 20, 2026, AGP -

ev.energy secured $11 million from the California Energy Commission to expand its ChargeWise California virtual power plant program to 79,000 drivers by the end of 2028. The $22 million total budget is designed to cut charging costs, shift demand to midday solar, and broaden access in disadvantaged communities.

Why it matters: - California’s EV growth is adding pressure to the grid during the most expensive hours of the day. - ChargeWise is designed to move charging into midday hours, when solar is plentiful and power is cheaper. - The program could lower wholesale procurement costs for community choice aggregators and help limit solar curtailment. - The scale-up also aims to expand equitable access to EV charging savings in disadvantaged communities.

What happened: - ev.energy announced it secured $11 million from the California Energy Commission for Phase 2 of ChargeWise California. - With partner funds matched by the CEC, the total program budget reaches $22 million. - The expansion will grow the program from a current pilot of 9,000 EV drivers to a target of 79,000 total customers by the end of 2028. - ChargeWise is part of the CEC’s Responsive, Easy Charging Products with Dynamic Signals initiative, awarded in 2023. - ev.energy is one of two Phase 1 recipients selected to advance to Phase 2. - Phase 1 ran with MCE and Silicon Valley Clean Energy and won the 2026 AESP Energy Award for Innovations in Technology. - In Phase 2, ChargeWise will also support incentives through Clean Power Alliance’s EV SmartCharge program.

The details: - The majority of the award is available as match funding for utilities, California Community Choice Aggregators and other partners. - The match funding covers 50% of user acquisition, incentive and onboarding costs. - $1 million is reserved for product development, including work on vehicle-to-everything charging. - Savings from that development work will be passed through to program partners. - ChargeWise uses day-ahead CAISO signals on supply, demand and price to optimize charging schedules. - Eve aligns charging with the least expensive time of day without requiring customers to intervene or change their electric rate. - The platform uses dynamic market pricing signals to build daily charging schedules and incentives under existing rate structures. - The program does not require a specific hardware brand and can connect to approximately 95% of U.S. EV-owning households through vehicle or charger integrations combined. - California EV drivers can now register interest in ChargeWise.

Between the lines: - The program is built around managed charging, not dynamic household electricity rates. - That matters because dynamic whole-home rates can be difficult for customers who cannot shift basic household usage. - Phase 1 results suggest the model can deliver meaningful savings and high participation without requiring customers to change routines. - The grant structure is also aimed at making it easier for utilities and CCAs to reach underserved communities. - At scale, the program functions as a virtual power plant, turning EV charging into a grid resource instead of just a load.

What's next: - ev.energy will use Phase 2 funding to expand enrollment and extend ChargeWise across California through the end of 2028. - The company plans to work with investor-owned utilities, CCAs, other energy providers, driver associations and EV supply chain businesses. - CAISO and the California Public Utilities Commission will also be engaged to maximize system value and ratepayer benefit. - California energy providers and businesses interested in collaboration can book a call with Stephanie Leach, Senior Business Development Manager, for program design and match funding.

The bottom line: - ev.energy is using state support to turn EV charging into a scalable affordability and grid-management tool in California.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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