Autonomous Driving Supercomputer Assembly Air Cooling of Rear On-Board Cooling System Heat Exchanger

Abstract

The Autonomous Driving Supercomputer Assembly for autonomous vehicles is likely to fail if it is not adequately cooled during test. The project research is divided into three phases: demonstrating through mathematical models a viable air/water measurement system to implement at a production level in autonomous vehicles testing, a laboratory environment for Supercomputer Assembly elements and Heat Exchanger system simulation, and plant environment test. Each phase will represent the Road-to-Lab-to-Math methodology. The results confirm air cooling is a viable option and will be needed to do multiple tests on supercomputers given the cooling rate of internal temperatures. The initiative to work with the Road-to-Lab-to-Math methodology comes from the benefits of reducing costs and physical testing at General Motors Plants. The air cooling can significantly save cycle time; additionally, air cooling will reduce the risk of water/coolant damage to the parts and lessen the need for a second test stand for the production line, saving $500K-$1M. Key Terms ⎯ Autonomous Vehicles, General Motors, Road-to-Lab-to-Math, Supercomputers.