Ecological Behavior: Sustainable Route Planning and Connected Vehicle Control

Summary

The digital interconnection of the systems involved is already enabling significant energy savings today – and will increasingly do so in the future. For energy-efficient route planning, relevant data, including topographical information, is considered and transmitted to the vehicle. During the journey, the optimum speed trajectory is continuously calculated using model prediction – based on the current vehicle position as well as static and dynamic environmental data – and used for control.

State of the Art

Current routing algorithms usually only offer the fastest or shortest route as a selection option. Existing adaptive cruise control systems (ACC) only integrate individual predictive functions, such as speed adjustments on bends, without considering holistic energy optimization along the entire route.

Technological Innovations

The technological advancement enables emergent efficiency optimization through an eco-routing algorithm that is specifically geared towards energy-efficient routes. In addition, an eco-speed control is implemented that uses all available topology data. Standardizable interfaces also create the basis for cross-system integration and optimization of connected components.

Participating Project Partners

ZF Universität Stuttgart