Real-time correction of vehicle load curve for dynamometer testing, and associated systems and methods
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Solution Overview
Problem
Existing methods for replicating vehicle field failures or performance in a test facility are inadequate due to limited guidance for adjusting load curves under non-standard environmental conditions, such as temperature, altitude, headwind, tailwind, and crosswind, leading to difficulties in correlating vehicle performance and diagnostic failures.
Innovation Solution
A method and system for adjusting load curve parameters, including velocity, air density, and drag force terms, to accurately replicate field conditions in a test facility, using a controller to modify dynamometer settings and air conditions to match real-world scenarios, thereby optimizing correlation between field and test facility data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard load curves from SAE J2263 are used for testing, then the testing procedure is simple and standardized, but the load curve does not correspond to real environmental conditions at the time of failure, leading to poor correlation between field and test facility results
Solution Approach 1:
The patent applies parameter changes by adjusting load curve coefficients (A, B, C terms) to account for environmental variations. The system modifies the standard load curve parameters based on measured environmental conditions (temperature, pressure, humidity, wind speed, road grade) to generate corrected load curves that accurately represent real-world conditions, thereby improving correlation accuracy without requiring complete retesting
Solution Approach 2:
The patent implements feedback by using measured environmental parameters from the field to continuously adjust and refine the load curve application in the test facility. The system compares actual field conditions with test conditions and applies corrective adjustments to the load curve coefficients, creating a closed-loop system that improves measurement precision through iterative refinement
2Measurement precision
If environmental conditions are manually adjusted to match field conditions, then correlation accuracy improves, but the testing process becomes time-consuming and complex
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing environmental correction factors and load curve adjustments based on historical field data. When testing is required, the system retrieves pre-computed correction parameters corresponding to the measured environmental conditions, eliminating the need for time-consuming manual adjustments and enabling rapid application of corrected load curves
Solution Approach 2:
The system efficiently handles parameter changes by using automated calculations to adjust load curve coefficients based on environmental measurements. The controller rapidly computes corrected parameters using established relationships between environmental conditions and load curve terms, enabling quick adaptation without manual intervention or extended testing periods
3Reliability
If load curve coefficients are adjusted for non-standard conditions, then replication of field failures improves, but the adjustment process lacks standardized guidance
Solution Approach 1:
The patent applies universality by creating a standardized system that handles multiple environmental factors (temperature, pressure, humidity, wind, road grade) through a unified load curve adjustment approach. The same controller and methodology are used across different test facilities and vehicle types, providing consistent, repeatable adjustments that improve failure replication reliability while maintaining ease of implementation through standardized procedures
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 allows for precise replication of vehicle performance and failures in a test facility, accounting for variations in temperature, altitude, and wind conditions, enhancing the accuracy of vehicle testing and diagnostic correlation.
Implementation Method 1
a controller to control the at least one dynamometer
Implementation Method 2
a wind tunnel to generate a controlled air flow
Implementation Method 3
with a climate control system to adjust air temperature
Data Source
AI summary
Real-time correction of vehicle load curve for dynamometer testing, and associated systems and methods are disclosed herein. In one embodiment, a method for replicating an on-road performance and/or a failure of a road vehicle in a test facility includes applying a load curve to a controller of the test facility and testing a test vehicle in the test facility using the load curve. The method also includes verifying whether the performance/failure is replicated on the test vehicle, and if the performance/failure is not replicated, changing at least one parameter in the load curve.