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Showing posts with label Energy. Show all posts
Showing posts with label Energy. Show all posts

Saturday, October 10, 2026

Why EV Electricity Use Can Rise While New Sales Fall

U.S. ELECTRIC VEHICLES · FIRST-HALF 2026

Why EV electricity use can rise while new sales fall

Electricity demand comes from vehicles already on the road as well as new arrivals. A slowdown in new EV sales can therefore coexist with rising total electricity use, although fleet size alone does not explain every change.

EIA’s September 30, 2026 analysis reports an 8% increase in estimated U.S. light-duty EV electricity consumption in the first half of 2026 versus the second half of 2025. New EV sales fell 19% over the same comparison. This is a useful distinction for anyone following carmakers, charging businesses or electricity demand.

How far did the two measures move?

Two EV measures, each indexed to its own second-half 2025 levelEach series starts at 100 in July to December 2025. In January to June 2026, estimated electricity use reaches 108, while new EV sales reach 81. These are separate normalized series, not directly comparable physical quantities. Index: each series’ July–December 2025 = 100 Estimated electricity use108 New EV sales81 060100120 Dashed line: each measure’s own starting level
Original indexed comparison from EIA’s rounded reported changes. Both changes compare January–June 2026 with July–December 2025. The common baseline shows direction and relative change; it does not equate vehicles with electricity.

Electricity use index

100 → 108

A measure of energy consumed across the operating fleet.

New-sales index

100 → 81

A measure of vehicles newly sold during each half-year.

Open the complete chart data and index calculation
Each series uses its own second-half 2025 baseline
MeasureJul–Dec 2025Jan–Jun 2026Reported change
Estimated light-duty EV electricity use100108+8%
New EV sales10081−19%

Index = 100 × (1 + reported percentage change ÷ 100). Electricity: 100 × 1.08 = 108. New sales: 100 × 0.81 = 81.

The inputs are rounded percentages published by EIA. The indices inherit that rounding. Dividing 108 by 81 would not produce electricity consumption per car: the electricity measure covers the operating fleet, while the sales measure covers new transactions.

What connects the showroom to the electricity meter?

A fleet accumulates over time. Selling fewer new cars than in the previous period can still add vehicles to that fleet. Meanwhile, existing vehicles continue to be driven. Retirements, movement between regions and vehicle usage also matter.

EIA’s model combines estimates of vehicles in use, electric miles traveled, efficiency and weather effects. It uses registrations where available and more recent sales information to extend lagged fleet estimates. That makes the electricity series more informative about fleet-wide energy use than a sales headline alone, but it also means the two series are not independent measurements.

For a charging operator, the practical question is narrower than national energy growth: how much charging happens at its sites, at what times, and at what margin? For a grid planner, geographic concentration and peak load matter. The aggregate estimate cannot answer either question on its own.

Which comparisons need care?

  • Periods: the two headline changes use matching half-years. They are neither year-over-year nor seasonally adjusted growth estimates presented here. Different seasons and the half-years’ different lengths can affect totals.
  • Coverage: EIA includes light-duty battery-electric and plug-in hybrid vehicles. Conventional hybrids and heavier EV categories are outside this electricity estimate.
  • Measurement: the electricity figures are modeled estimates, not a national total directly read from dedicated vehicle meters. EIA’s methodology identifies potential errors in fleet estimates, driving patterns and efficiency.
  • Revenue: higher electricity consumption is not a forecast of charging-company sales or profits. Charging location, tariffs, utilization and costs would need separate evidence.
Why the model’s revision process matters

Recent fleet estimates must bridge gaps in registration data. The documentation says monthly scrappage and interstate vehicle movement are not incorporated in the preliminary extension. Final registration and odometer inputs can arrive around 12–13 months after a reference year ends. Treat recent estimates as revisable, particularly when comparing individual states.

EIA also explains that utilities generally record vehicle charging within residential, commercial or industrial sales according to where charging occurs. Do not add estimated EV use to those electricity-sales totals as though it were an entirely separate category.

Does this show that lower sales no longer matter?

No. Slower additions can influence the fleet’s future growth. The current comparison simply shows why a change in new sales cannot be applied mechanically to electricity demand from all vehicles. A useful next check is whether fleet growth, electric miles per vehicle and charging location are moving together.

Can the figures establish the effect of an EV policy change?

They describe a period, rather than isolate a policy’s causal effect. A causal claim would need a comparison that addresses purchase timing, prices, model availability and other changing conditions. This article does not estimate that effect.

Sources, dates and reuse

Observation periods: July–December 2025 and January–June 2026. EIA analysis released September 30, 2026; supporting Monthly Energy Review is the September 2026 edition. Sources checked October 9, 2026 (UTC). This is analysis of those releases, not a new October data release.

  1. EIA, September 30, 2026: EV electricity use and new-sales comparison
  2. EIA, Electric Vehicle Consumption: model methods, limitations and data sources
  3. EIA, September 2026 Monthly Energy Review, Section 7, Note 4
  4. EIA copyrights and reuse policy

Original charts and calculations use selected statistics reported by EIA, with attribution. EIA permits reuse of its information products; privately contributed material remains protected. The underlying model uses third-party inputs, including S&P Global Mobility and Wards Intelligence. Their databases, graphics and records are not reproduced here; this article does not convey a license to them. No agency photographs or logos are used.