Mercedes-AMG’s hypercar, the Mercedes-AMG ONE, has set a new lap record for the fastest street legal production car at the Nürburgring-Nordschleife, with a lap time of 6:29.090 minutes. The Mercedes-AMG ONE was driven by DTM driver Maro Engel, besting the previous record set by the AMG ONE itself (set in 2022), by over 5 seconds. This record also makes the Mercedes-AMG ONE the first road car to lap the 20.832 km track under the magic mark of 6.30 minutes.
For the record drive, Maro Engel selected the ‘Race Plus’ driving mode, which resulted in active, maximum possible aerodynamics, and tight chassis tuning. The AMG ONE is also lowered by 37mm at the front axle and 30mm at the rear axle in this mode, while offering full power from all motors. The Drag Reduction System (DRS) is activated by the driver by pressing a button on the steering wheel. This retracted the front louvres on the wings as well as the upper aero element of the two-stage rear wing. This system reduced drag, which ensured higher speeds on the fast sections of the track. In twisty sections, the aero elements extend again, providing even more downforce.
Commenting on the occasion, Maro Engel says, “Two years ago (in 2022), the conditions were not ideal, and some sections of the track were still a little damp. We knew we could do more, and we wanted to show that. Today we were able to demonstrate the maximum potential of the AMG ONE. Many thanks to the whole team from Affalterbach for the trust they’ve placed in me. It was a great pleasure and honour to be able to drive this record lap with such a unique car.”
The Mercedes-AMG hypercar is powered by a hybrid drive technology, with a 1.6-litre V6 combustion engine working in tandem with an electrically assisted turbocharger, and four electric motors. The powertrain AMG ONE hypercar produces a combined output of 1049bhp and the top speed is capped at 352kmph. The AMG also features fully variable AMG Performance 4MATIC+ all-wheel drive with a hybrid-driven rear axle and electrically driven front axle with torque vectoring.