INDUSTRY AT A GLANCE
Forward-thinking automakers and automotive suppliers know how critical it is to secure greater fuel economy.
Meeting global mandates will require implementing advanced combustion technologies, from Miller-cycle engines to electrification and autonomous technologies.
Only a few years ago, self-driving cars were considered science-fiction.
Today, autonomous cars are a rapidly evolving technology. These vehicles are designed to be wirelessly connected to each other and the cloud infrastructure, providing the engine controller actionable information about vehicle position, traffic, terrain, obstacles, traffic light changes, and more.
What is aDSF?
aDSF will be able to incorporate real-time and predicted data to deliver engine torque at maximum fuel efficiency.
Key solution components include:
- Autonomous Infrastructure information: Information including vehicle position, traffic, terrain, obstacles, traffic light changes, plus any driver override requests
- DSF valvetrain: Individual deactivation capability
- Engine controller with aDSF: Tula’s proprietary aDSF SW integrates available autonomous information to calculate both real-time and anticipated torque demands at the most fuel-efficient operating points
How DSF® works in tandem with Autonomous
How DSF works in tandem with autonomous
aDSF optimizes the fuel efficiency across the drive cycle, as steady operating conditions enable maximum DSF benefits. (In contrast to a human driver, aDSF can maintain speed precisely and un-emotionally).
aDSF will integrate autonomous torque requests with optimal engine operation feedback for passenger comfort and fuel economy.
When the vehicle is operated without a driver, aDSF is uniquely capable of relaxing Noise and Vibration (N&V) skip fire restrictions to further boost fuel efficiencies.
Determining the optimal strategy with reasonable assumptions is the subject of joint work between Tula, Delphi and OSU and is funded by ARPA-E. See the press releases below for more information.