Autonomous Truck Suspension and Warning Deployment During Stops

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Solution Overview

Problem

Autonomous trucks face challenges in optimizing suspension settings for aerodynamic performance and minimizing mechanical impact from road defects, while also needing to efficiently place warning devices and enhance illumination during stops, especially without human intervention.

Innovation Solution

The system uses real-time sensing data to dynamically adjust suspension height and stiffness based on road conditions, automates the placement of warning devices during deceleration, and employs enhanced lighting systems for improved visibility, including flashing patterns and high-luminance lights.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If suspension height is lowered to improve aerodynamic performance, then fuel efficiency is improved, but mechanical impact from road defects increases

Engineering Contradiction:
Improvefuel efficiencyVSAvoidmechanical impact from road defects
Core Design Contradiction:
Use of energy by moving objectVSObject-affected harmful factors

Solution Approach 1:

The suspension system dynamically adjusts its height based on real-time road condition sensing. When smooth road conditions are detected, the suspension lowers to improve aerodynamics and fuel efficiency. When road defects are detected, the suspension raises to minimize mechanical impact. This dynamic adaptation resolves the contradiction by allowing both low-height benefits and high-height protection at different times.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the physical parameter of suspension height in response to detected road conditions. By varying this parameter between low (for aerodynamics) and high (for protection), the system optimizes fuel efficiency while minimizing mechanical impact from road defects.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If warning devices are placed manually, then placement accuracy is improved, but operational time is increased

Engineering Contradiction:
Improveplacement accuracyVSAvoidoperational time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system replaces manual mechanical placement with an automated deployment mechanism. The warning devices are automatically released and deployed to predetermined locations based on vehicle deceleration data, eliminating the need for manual intervention while maintaining accurate placement within the required 50-100 foot range.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary calculation of the optimal warning device placement location based on predicted vehicle stopping position. By pre-determining the deployment timing and location before the vehicle actually stops, the system ensures accurate placement while minimizing the time required for the entire process.

Inventive Principle:
Principle #10Preliminary action

3Use of energy by moving object

If standard lighting is used during stops, then energy consumption is reduced, but visibility for other vehicles is decreased

Engineering Contradiction:
Improveenergy consumptionVSAvoidvisibility for other vehicles
Core Design Contradiction:
Use of energy by moving objectVSIllumination intensity

Solution Approach 1:

The lighting system uses periodic flashing patterns instead of continuous illumination. The lights flash at predetermined intervals to alert other vehicles of the autonomous truck's presence and status. This periodic action provides sufficient visibility for safety while consuming significantly less energy than continuous lighting would require.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20240288863A1Emergency signaling in autonomous trucking systems
Publication Date: 2024.08.29 WAYMO LLC
  • US20240288863A1 patent drawing
  • US20240288863A1 patent drawing
  • US20240288863A1 patent drawing

AI summary

Aspects and implementations of the present disclosure relate to performance and safety improvements for autonomous trucking systems, such as reactive suspensions for maximizing aerodynamic performance and minimizing mechanical impact from road imperfections, automated placement of emergency signaling devices, and techniques of enhanced illumination of stopped and stranded vehicles.