Adaptive Cruise Control Load Tuning for Trailer Towing
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Solution Overview
Problem
Adaptive cruise control systems in vehicles towing trailers face challenges in dynamically optimizing performance due to the added load, as existing systems fail to adjust parameters effectively to ensure safe and efficient operation, particularly during turns and changes in speed limits.
Innovation Solution
A computer system onboard the vehicle determines the expected operation of the adaptive cruise control based on parameters adjusted according to the load, comparing actual operator inputs with expected operations to dynamically change settings, such as deceleration and acceleration times, to enhance safety and efficiency while towing a trailer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive cruise control parameters are adjusted based on load, then safety and efficiency improve, but system complexity increases
Solution Approach 1:
The system dynamically adjusts cruise control parameters based on detected load conditions. The control system transitions from static parameter settings to dynamic adaptation, modifying acceleration rates, deceleration rates, and following distances according to the actual load carried by the vehicle, thereby improving safety without requiring permanent structural complexity
Solution Approach 2:
The system automatically detects load conditions and adjusts parameters without requiring manual intervention from the operator. The adaptive cruise control monitors vehicle state, identifies load variations, and self-adjusts operational parameters, reducing the need for complex manual control systems while maintaining high safety standards
2Productivity
If parameters are dynamically adjusted based on operator behavior, then operational efficiency improves, but measurement and detection difficulty increases
Solution Approach 1:
The system implements feedback mechanisms that monitor operator actions during manual vehicle operation. By comparing actual operator behavior with expected behavior patterns, the system learns and adapts parameters to optimize efficiency. This feedback loop enables automatic adjustment based on measured operator preferences and driving styles
Solution Approach 2:
The system replaces manual parameter adjustment with automated electronic detection and adjustment mechanisms. Sensors and processors detect operator behavior patterns and automatically modify cruise control parameters, substituting mechanical or manual tuning processes with electronic measurement and control systems that simplify the overall adjustment process
Data Source
AI summary
A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine that a vehicle is carrying a load; in response to an activation of an adaptive cruise control while the vehicle is carrying the load, operate the adaptive cruise control according to a set of parameters, the parameters being based on the load; while the adaptive cruise control is inactive and the vehicle is carrying the load, determine an expected operation of the adaptive cruise control, the expected operation being how the adaptive cruise control would operate according to the set of the parameters if active; and adjust at least one of the parameters based on a comparison of the expected operation with an actual operation performed by an operator of the vehicle.