Vehicle Load Estimation Calibration Using Static and Dynamic Sensing
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Solution Overview
Problem
Existing vehicle weight measurement systems are inaccurate due to significant error factors in load estimation, particularly when vehicles are in motion, and require calibration during manufacturing, which adds time and cost, and as suspension properties change over time, leading to potential misloading and reduced safety.
Innovation Solution
The system combines dynamic and static load estimation techniques using sensors from wheels and tires to calibrate the primary weight estimation system, allowing continuous updates to account for changing suspension properties, ensuring accurate load measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed during manufacturing, then initial measurement accuracy is improved, but manufacturing time and cost increase
Solution Approach 1:
The system performs preliminary calibration during manufacturing to establish baseline accuracy, then uses ongoing dynamic calibration during vehicle operation to maintain accuracy without requiring repeated manufacturing-time calibration steps
Solution Approach 2:
The weight estimation system performs self-calibration during normal vehicle operation by comparing static and dynamic load measurements, automatically adjusting for suspension property changes without external intervention or additional manufacturing steps
2Measurement precision
If calibration is performed during manufacturing, then initial measurement accuracy is improved, but manufacturing cost increases
Solution Approach 1:
The system automatically calibrates itself during vehicle operation using onboard sensors and processing, eliminating the need for expensive external calibration equipment and services that would otherwise be required during manufacturing and maintenance
Solution Approach 2:
The system uses feedback from ongoing dynamic and static load measurements to continuously adjust and maintain calibration, replacing the need for expensive periodic manual recalibration procedures
3Duration of action of stationary object
If suspension properties change over time, then vehicle wear is normal, but measurement accuracy deteriorates
Solution Approach 1:
The system transitions from static calibration performed once during manufacturing to dynamic calibration that continuously adapts to changing suspension properties throughout the vehicle's service life, maintaining accuracy as the vehicle ages
Solution Approach 2:
The system uses feedback from comparing dynamic and static load measurements during vehicle operation to detect and compensate for suspension property changes, automatically maintaining measurement accuracy over time
4Measurement precision
If visual inspection or weight station is used, then load determination is possible, but convenience and efficiency are reduced
Solution Approach 1:
The vehicle performs self-measurement of its own load using onboard sensors and processing, eliminating the need for external weight stations or manual visual inspection by users
Solution Approach 2:
The system replaces mechanical weighing at external stations with electronic sensing and computational estimation using onboard sensors, enabling continuous load monitoring without leaving the vehicle
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture to calibrate a weight estimation are disclosed herein. An example apparatus comprises memory including stored instructions, and a processor to execute the instructions to determine, via a first sensor, a first load estimation of a vehicle corresponding to when the vehicle under a load condition, determine, via a second sensor, a second load estimation corresponding to when the vehicle is moving and under the load condition, and calibrate, based on a difference between the second load estimation and the first load estimation, an error of the first load estimation.