Dynamic Speed Control for Energy-Efficient Driving
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Solution Overview
Problem
Existing methods for assisting drivers in energy-efficient driving often limit driving comfort and performance by imposing fixed speed reductions, which are not adaptable to varying driving situations, thereby not maximizing energy efficiency across all driving conditions.
Innovation Solution
A method that assesses the maximum permissible driving speed based on environmental data and calculates a target maximum speed lower than the permissible speed, using a reduction amount or scaling factor, to provide alerts or control the vehicle's speed, allowing for energy-efficient driving in various situations without excessive limitations on comfort or performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a fixed speed reduction is imposed to improve energy efficiency, then energy consumption is reduced, but driving comfort and performance are excessively limited
Solution Approach 1:
The patent implements dynamic speed adjustment by continuously adapting the target speed to current driving conditions (traffic density, weather, route characteristics) rather than imposing a fixed speed reduction. The system dynamically calculates an optimal target speed that balances energy efficiency with driving comfort and performance requirements
Solution Approach 2:
The system changes the speed parameter dynamically based on multiple input factors including traffic density, weather conditions, and route characteristics. By adjusting the target speed parameter in response to varying conditions, the system achieves energy efficiency improvements without excessively limiting driving comfort or performance
2Use of energy by moving object
If a fixed speed reduction is imposed to improve energy efficiency, then energy consumption is reduced, but adaptability to varying driving situations is poor
Solution Approach 1:
The system employs parameter changes by adjusting the target speed based on multiple varying inputs including traffic density, weather conditions, and route characteristics. This allows the energy efficiency system to adapt to different driving situations while maintaining improved energy consumption
Solution Approach 2:
The system uses feedback from multiple sensors and data sources (traffic density measurements, weather conditions, route information) to continuously adjust the target speed. This feedback mechanism enables the system to adapt to varying driving situations while achieving energy efficiency improvements
Data Source
AI summary
Provided herein is a method for assisting a driver with driving a motor vehicle. The method includes ascertaining a permissible driving speed in a route section by evaluating environmental data describing the motor vehicle environment. The method further includes calculating a target maximum speed, which is lower than the permissible driving speed, by subtracting a predefined reduction amount from the permissible driving speed and/or by multiplying the permissible driving speed by a predefined scaling factor. The method further includes controlling at least one alert device for outputting an alert to the driver when a present driving speed of the motor vehicle exceeds the target maximum speed and/or controlling the driving speed of the motor vehicle by a longitudinally guiding driver assistance system, wherein the target maximum speed is used as a maximum speed or as a target speed.