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Google Cloud AI Helps Formula E in Groundbreaking 'Mountain Recharge' Energy Feat

  • On May 3, 2025, Formula E’s GENBETA prototype car powered up exclusively through energy recovered via regenerative braking during a 1,000-meter descent in the mountains of Monte Carlo, enabling it to complete a full lap of the Monaco circuit.
  • Google Cloud's AI planned the optimized braking strategy that enabled the mountain descent to generate sufficient energy for a full Monaco lap.
  • Under the control of James Rossiter, a test driver for Formula E, the GENBETA vehicle produced between 1.6 and 2.0 kWh of energy solely by harnessing gravity and braking energy to complete the 3.337 km lap.
  • Alex Aidan of Formula E highlighted this example as a powerful demonstration of how advanced energy recovery techniques combined with AI technology hosted in the cloud can transform approaches to transportation, energy management, and environmental sustainability.
  • The 'Mountain Recharge' project highlights Formula E vehicles' energy efficiency and demonstrates AI's potential to address real-world challenges in sustainable transport.
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Google Cloud AI Helps Formula E in Groundbreaking 'Mountain Recharge' Energy Feat

GENBETA car completes Monaco E-Prix lap powered solely by regenerative braking after AI-planned mountain descent; the feat was filmed and produced by Red Bull Media House MONTE CARLO, Monaco and LONDON, May 3, 2025 /PRNewswire/ -- In a daring demonstration enabled by Google Cloud's AI capabilities, Formula E successfully charged its GENBETA prototype race car using only regenerative braking during a 1,000-vertical-meter mountain descent – genera…

·New York, United States
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Benzinga broke the news in New York, United States on Saturday, May 3, 2025.
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