Vehicle Load Imbalance Factor Estimation Using Sensor Tilts
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Solution Overview
Problem
Load imbalance in vehicles leads to decreased maneuverability and increased maintenance costs due to impaired vehicle handling and wear, making it difficult to detect imbalances during driving.
Innovation Solution
A system comprising sensors and a processor that determines vehicle tilts and calculates a load imbalance factor using sensor data from accelerometers, gyroscopes, and cameras, providing real-time feedback to drivers and maintenance personnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If load imbalance detection system is implemented, then vehicle safety and maneuverability are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (accelerometers, gyroscopes, cameras) into a unified detection system that processes data through a single processor to generate load imbalance factors. This merging approach improves reliability while managing complexity by integrating rather than multiplying separate systems.
Solution Approach 2:
The detection system serves multiple functions: it monitors vehicle tilts, calculates load imbalance factors, provides real-time feedback to drivers, and enables maintenance personnel to assess load conditions. This multi-functionality improves safety across various operating scenarios without requiring separate specialized systems for each function.
2Ease of repair
If real-time load monitoring is performed, then maintenance costs are reduced, but use of energy increases
Solution Approach 1:
The system performs load monitoring at periodic intervals during vehicle operation rather than continuously, processing sensor data to calculate load imbalance factors at key moments. This periodic monitoring reduces energy consumption while still providing timely maintenance information to prevent costly repairs.
Solution Approach 2:
The system uses the vehicle's existing sensor infrastructure (accelerometers, gyroscopes, cameras) to perform self-monitoring of load conditions without requiring separate dedicated monitoring equipment. This self-service approach reduces additional energy consumption while enabling proactive maintenance.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively identifies load imbalances, enhancing vehicle safety by improving maneuverability and reducing maintenance costs through timely detection and redistribution of loads.
Implementation Method 1
determines vehicle tilts based at least in part on sensor data
Implementation Method 2
determines vehicle tilts based at least in part on sensor data
Data Source
AI summary
A system for determining a load imbalance factor includes an input interface and processor. The interface is configure to receive sensor data from one or more sensors. The processor is configured to determine one or more vehicle tilts based at least in part on the sensor data; determine a load imbalance factor based at least in part on the one or more vehicle tilts; and provide the load imbalance factor.