Predictive Cruise Control for Temporary Stop Speed Planning
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Solution Overview
Problem
Cruise control systems are not optimized for driving assignments involving multiple temporary stops, such as those encountered in urban areas or by vehicles like garbage trucks and buses, limiting their practicality and energy efficiency.
Innovation Solution
A method and control arrangement that predicts upcoming stop points using geographical data and determines driving strategies to achieve a predefined vehicle speed or speed range, allowing the cruise control system to manage speed for temporary stops and maintain efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a constant speed cruise control system is used to maintain vehicle speed at the set speed, then driver comfort is improved by eliminating the need to operate the accelerator pedal, but energy consumption increases unduly particularly in medium-duty and heavy-duty vehicles
Solution Approach 1:
The cruise control system dynamically adjusts vehicle speed based on predicted stop points and road conditions rather than maintaining a constant set speed. The system modifies the speed profile in real-time to optimize energy consumption while still providing automated speed control for driver comfort.
Solution Approach 2:
The system performs preliminary actions by predicting upcoming stop points using map data and geographical information before the vehicle reaches them. This allows the system to plan energy-efficient deceleration and speed adjustment strategies in advance, reducing overall energy consumption.
2Use of energy by moving object
If a predictive cruise control system is used to save energy by varying vehicle speed according to a speed profile, then energy consumption is reduced, but the system becomes impractical or impossible to use in driving assignments involving multiple temporary stops such as in urban areas
Solution Approach 1:
The system is designed to be universal and adaptable to multiple driving scenarios including both long-distance highway driving and urban routes with multiple temporary stops. It achieves this by integrating predictive capabilities with real-time adaptation to different driving assignment types, making it applicable across diverse operational contexts.
Solution Approach 2:
The system dynamically adapts its behavior based on the specific driving assignment characteristics. When detecting multiple temporary stops ahead, it switches from maintaining a rigid speed profile to a more flexible control mode that allows temporary speed reductions and stop-and-go patterns appropriate for urban delivery or collection routes.
3Productivity
If a cruise control system is optimized for longer distance travel and higher vehicle speeds, then it performs well on country or highway driving, but it becomes impractical for lower vehicle speeds or driving in urban areas
Solution Approach 1:
The system dynamically adjusts its operational characteristics based on detected driving conditions and assignment types. For urban routes with multiple stops, it transitions from highway-optimized constant or predictive speed control to a more adaptive mode suitable for lower speeds and frequent stops, thereby expanding its applicability to urban environments.
Solution Approach 2:
The system changes key operational parameters such as target speed, acceleration rates, and prediction horizons based on the detected driving context. When operating in urban areas with multiple temporary stops, it adjusts these parameters to be appropriate for lower speeds and more frequent interruptions, maintaining effectiveness across different operating conditions.
Data Source
AI summary
Control arrangement and method for controlling travelling speed of a driver-operated vehicle using a cruise control system. The method comprises a step of predicting an upcoming stop point for the vehicle based on a current geographical position of the vehicle and map data defining a plurality of possible stop points for the vehicle. The method further comprises a step of determining a first driving strategy that satisfies one or more predefined criteria and that causes the vehicle to reach a predefined travelling speed or speed range at, or within a first predefined distance from, the predicted upcoming stop point. The method further comprises a step of controlling the vehicle in accordance with the determined first driving strategy.