RESEARCH
A NeoCharge pilot finds smart EV charging can cut peak home demand by 45%, easing strain on local grids
13 Feb 2026

New findings from a NeoCharge-led pilot programme suggest US utilities may be able to delay expensive grid upgrades as electric vehicle adoption accelerates, relying instead on software to manage rising electricity demand.
Results released in December 2025 through the Grid Catalyst programme indicate that optimised charging reduced peak household electricity demand by up to 45 per cent compared with unmanaged charging. The demonstrations were independently evaluated by the University of St Thomas’ Center for Microgrid Research.
Electric vehicle owners typically charge their cars in the evening, when household electricity use is already high. When repeated across a neighbourhood, that pattern can strain local transformers and distribution equipment. Utilities have warned that widespread electrification, from vehicles to heating and cooking, could require significant investment in network capacity.
NeoCharge’s platform seeks to address the issue by shifting charging to periods of lower demand, when electricity prices are often cheaper and the grid is less congested. The system schedules charging automatically while ensuring vehicles are ready by morning, reducing the need for drivers to adjust settings manually.
For utilities, the approach offers a potential alternative to infrastructure expansion. Rather than reinforcing substations or replacing transformers immediately, operators could smooth demand spikes through digital load management. Such tools are gaining attention as policymakers encourage electrification to cut emissions and reduce reliance on fossil fuels.
The technology, however, faces constraints. Time-based electricity pricing is not available in all regions, limiting incentives for off-peak charging. Industry standards for device communication are still evolving, and greater connectivity raises concerns about cybersecurity and data protection.
Even so, the pilot results point to a broader shift in grid strategy. As electric vehicle sales continue to rise, utilities may look increasingly to software-based solutions to manage growth. The future electricity system may depend as much on intelligent coordination as on physical expansion.
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