Lamborghini has launched its second plug-in hybrid, following the V-12-powered Revuelto. This $600,000 supercar boasts 1,001 hp (746 kW), all-wheel drive, and three electric motors, accelerating from 0 to 60 mph (98 km/h) in about two seconds, with a top speed of 217 mph (350 km/h). While the Revuelto’s hybrid technology is impressive, it’s not a comprehensive environmental solution. The new hybrid Urus SE offers a 37-mile (60 km) range on electric power and reduces emissions by 80%. However, the non-hybrid Urus V8’s average of 16 mpg (14.7 L/100 km) means this improvement is modest.
A major milestone for Lamborghini would be developing electric vehicles that retain the brand’s allure. By 2030, Lamborghini plans to have at least two EVs on the road, with the Lanzador EV concept already showcased. According to Chief Technology Officer Rouven Mohr, the challenge lies in maintaining the brand’s excitement in EVs. Surprisingly, AI could be the key to this evolution.
Lamborghini’s philosophy focuses on creating an exhilarating driving experience, not just achieving fast lap times. Utilizing advanced systems and algorithms, Lamborghini aims to enhance driver engagement and produce a “wow” factor. The new hybrid models, including the Revuelto and Urus SE, benefit from the instant torque of electric motors and sophisticated software management of car dynamics. This results in precise control and a more responsive driving experience.
AI could further revolutionize this approach by predicting and responding to the driver’s emotional state. Monitoring physiological reactions like eye movement or heartbeat could inform real-time adjustments to the car’s performance, transforming the vehicle into an extension of the driver’s neural network.
For Lamborghini, the future of EVs is about delivering an unparalleled driving experience, not just mobility. While EVs offer superior performance capabilities, ensuring these innovations are perceived as genuine is crucial. Lamborghini aims to create electric supercars as thrilling as their combustion-engine predecessors, leveraging AI to anticipate and meet driver needs.