Relative Vehicle Speed Testing Under Equivalent Advection
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Solution Overview
Problem
Current vehicle propulsion testing methods are labor-intensive and time-consuming, requiring long deployments and costly data processing, especially when assessing speed performance in mediums with advection, leading to increased costs and reduced testing efficiency.
Innovation Solution
A method and system that involve operating vehicles in proximity to each other within equivalent medium conditions, applying incremental thrust forces to generate equivalent drag changes, and calculating relative speed performance statistics independently of medium conditions, using a control system with communication devices and thrusters to optimize speed testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional speed performance testing methods are used, then comprehensive performance data can be obtained, but testing time and deployment duration increase significantly
Solution Approach 1:
The testing system segments the performance assessment by conducting separate tests for different thrust levels. Each test applies a specific thrust force and measures the corresponding speed, allowing comprehensive performance data to be collected through multiple short tests rather than one long continuous deployment. This segmentation enables parallel data collection across different thrust conditions.
Solution Approach 2:
The system implements periodic testing cycles where vehicles are deployed for short durations to collect data at specific thrust levels, then retrieved and reconfigured for the next thrust level. This periodic approach replaces traditional continuous long-duration testing with repeated short tests, significantly reducing total deployment time while maintaining data completeness.
2Adaptability or versatility
If multiple design configurations are tested, then vehicle performance understanding improves, but the number of testing opportunities decreases
Solution Approach 1:
The testing program is segmented into multiple independent test campaigns, each focusing on a specific design configuration. By completing comprehensive thrust-level testing for one configuration before moving to the next, the system maximizes data quality per deployment while increasing the total number of configurations that can be evaluated within available resources.
Solution Approach 2:
The system changes key testing parameters including thrust force levels, vehicle configurations, and deployment durations to optimize the testing process. By systematically varying these parameters across different test campaigns, the system achieves both comprehensive configuration comparison and efficient use of testing opportunities.
3Measurement precision
If detailed data processing and analysis are performed, then relative performance data accuracy improves, but labor requirements and costs increase
Solution Approach 1:
The system implements automated data processing pipelines that perform speed calculations, drag force determinations, and performance metric computations without requiring manual intervention. The control system automatically processes sensor data from multiple vehicles, applies the necessary physical relationships, and generates relative performance statistics, eliminating labor-intensive manual analysis while maintaining high accuracy.
4Loss of time
If vehicles are tested in proximity to each other in equivalent medium conditions, then testing time is reduced, but measurement of individual vehicle performance becomes more challenging
Solution Approach 1:
The system uses the control system as an intermediary to coordinate and differentiate measurements from multiple vehicles. Each vehicle's performance data is tagged and processed separately through automated algorithms that calculate individual speed and drag values, preventing cross-contamination of measurements while maintaining the efficiency benefits of simultaneous testing in equivalent conditions.
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
This approach significantly reduces testing time, eliminates the need for direct sensors, and enhances the accuracy of vehicle speed and advection velocity estimation, allowing for more efficient and cost-effective assessment of relative speed performance between vehicles.
Implementation Method 1
applying an incremental sequence of about equivalent thrust forces to the plurality of vehicles
Implementation Method 2
generate about equivalent incremental changes in a plurality of steady-state average drag forces for the plurality of vehicles
Implementation Method 3
The vehicles are subject to advection due to movement of the medium
Data Source
AI summary
A method including operating vehicles through a medium. The vehicles are subject to advection due to movement of the medium. The vehicles are in sufficient proximity to each other that one or more conditions of the medium are about equivalent for the vehicles. The method also includes applying an incremental sequence of about equivalent thrust forces to the plurality of vehicles to generate about equivalent incremental changes in a plurality of steady-state average drag forces for the plurality of vehicles. The method also includes measuring a plurality of speed changes for the plurality of vehicles. The method also includes calculating, from the plurality of speed changes, a plurality of relative speed performance statistics for relative speed performance between pairs of vehicles, wherein calculating is performed independently of the one or more conditions of the medium.