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How F1 Drivers Are Losing to Their Own Power Units This Season

Why F1 drivers are being beaten by their own power units

The gap between McLaren’s Oscar Piastri and Lando Norris at Spa was blamed on a hiccup in the new 2026 power‑unit algorithm, not on the drivers’ performance, team boss Stella warned.

Power‑Unit Discrepancies Exposed

Qualifying saw Piastri 0.2 seconds shy of Norris, with the entire deficit clustering on the Stavelot–Bus Stop straight during the derating phase when electric output dwindles. Stella explained that the cars’ energy harvesting logic was responsible: “If the power unit is operated slightly differently, the final straight time will suffer, no matter what the driver does.”

McLaren’s Analysis

Stella highlighted that the drivers had no “extra footwork” to recover the time. “The motors are learning from every lap and making live calculations on power deployment,” she added. The small variations, she said, were magnified on circuits that are highly power‑sensitive, turning a single mismatch into a noticeable time loss.

Mercedes Mirror the Issue

Stella added that the phenomenon was not isolated to McLaren. At Mercedes, George Russell’s straight‑line deficit to Kimi Antonelli mirrored the pattern seen at McLaren: “The differences between Russell and Antonelli also appear to stem from how the power unit behaved, not from driver skill.”

Learning Engines and Driver Strategies

The 2026 power‑unit’s unpredictable behaviour stems from its on‑the‑fly learning: “They build an information bank from past runs and predict future energy needs from corner to corner,” Stella noted. This makes offline simulation accurate only on paper, while live operation introduces subtle shifts that affect braking points and optimal energy harvesting.

Drivers Grappling With Algorithms

Drivers are shifting focus from pure speed to mastering battery management. Russell said his entire pre‑race preparation centred on straight‑line power, while the car’s harvest‑before‑brake logic forces drivers to adjust their braking zones by up to 10 km/h. “The power‑unit software is learning, but the variations are so micro that one lap can still differ from the next.”

Unfortunately, an earlier hydraulic leak that forced Piastri to miss track time may have further altered his unit’s behaviour. After a first Q3 run that hit gravel, the subsequent laps could have suffered from algorithmic penalties linked to that mistake.

With the next race promising even more opportunities for energy harvesting, the 2026 season will test teams and drivers alike on how well they can chart the most effective power‑deployment strategies within this erratic new framework.

How F1 Drivers Are Losing to Their Own Power Units This Season
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