Autonomous Vehicle Handling Limits Based on Mass Distribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles lack effective handling maneuver limits based on mass distribution data, leading to inefficient travel, increased wear-and-tear, and potential safety risks due to conservative or dangerous driving maneuvers.
Innovation Solution
A method and system that identify mass distribution data for autonomous vehicles, determining handling maneuver limits such as acceleration, braking, and speed limits, and causing the vehicle to travel based on these limits to optimize route selection and vehicle performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use conservative driving maneuvers to ensure safety, then safety is improved, but fuel efficiency deteriorates and travel time increases
Solution Approach 1:
The patent applies dynamics by making the driving maneuvers adaptable based on real-time vehicle conditions (mass distribution, cargo load, center of gravity) rather than using fixed conservative limits. The system dynamically adjusts acceleration, braking, and steering maneuvers to optimize the trade-off between safety and fuel efficiency based on current vehicle state.
Solution Approach 2:
The system changes operating parameters (driving maneuvers) based on vehicle mass distribution data. By monitoring parameters such as center of gravity position and cargo weight distribution, the system adjusts driving parameters like acceleration rates, braking force, and steering angles to achieve optimal fuel efficiency while maintaining safety margins.
2Productivity
If autonomous vehicles use aggressive driving maneuvers to improve productivity, then travel time is reduced, but safety deteriorates and wear-and-tear increases
Solution Approach 1:
The system dynamically adjusts driving aggressiveness based on real-time vehicle mass distribution data. Rather than using fixed aggressive maneuvers, the system adapts acceleration, braking, and steering intensity to current cargo conditions, allowing faster travel when vehicle conditions permit and more conservative approaches when safety margins are reduced.
Solution Approach 2:
The system uses feedback from mass distribution sensors and vehicle state monitoring to continuously adjust driving maneuvers. The feedback loop ensures that productivity gains are achieved only when vehicle conditions support aggressive maneuvers, automatically reducing aggressiveness when cargo distribution creates safety risks.
3Device complexity
If autonomous vehicles do not account for mass distribution data, then device complexity is reduced, but handling precision and safety deteriorate
Solution Approach 1:
The system uses the vehicle's existing mass distribution data infrastructure (cargo sensors, weight distribution systems) to inform driving decisions. Rather than adding entirely new sensing systems, the patent leverages existing vehicle data sources to calculate center of gravity and mass distribution, reducing the need for additional complex hardware.
4Reliability
If autonomous vehicles account for mass distribution data, then handling precision and safety are improved, but device complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary calculations of mass distribution and center of gravity before executing driving maneuvers. By pre-processing mass distribution data and determining safe operating parameters in advance, the system reduces real-time computational complexity while maintaining high handling precision and safety.
Data Source
AI summary
A method includes identifying mass distribution data of an autonomous vehicle (AV). The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes determining, based on the mass distribution data, one or more handling maneuver limits for the AV. The method further includes causing the AV to travel a route based on the one or more handling maneuver limits.