Vehicle Calibration Optimization for Consistent Parameter Tuning
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Solution Overview
Problem
Manual vehicle calibration is inefficient, costly, and lacks consistency due to the high variability among calibration engineers, making it difficult to achieve global optimization and resulting in high costs and poor performance.
Innovation Solution
A calibration method using an optimization algorithm to calculate updated calibration parameters based on observation signals, performance indices, and objective functions, which reduces the need for human intervention and improves efficiency and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual calibration is used by calibration engineers, then calibration can be performed with existing tools and processes, but calibration results vary greatly among engineers and consistency is poor
Solution Approach 1:
The calibration system performs self-calibration using automated algorithms that process test data and adjust parameters without human intervention. The calibration device automatically compares test results with standard values and generates calibration parameters, eliminating the need for manual calibration operations and ensuring consistent results across different systems.
Solution Approach 2:
The patent replaces manual mechanical calibration processes with automated computational algorithms. Instead of engineers manually adjusting parameters based on experience, the system uses automated data processing and comparison algorithms to determine calibration parameters, substituting human judgment with systematic computational methods.
2Reliability
If manual calibration is used with professional drivers for testing, then driving experience can be incorporated, but the process consumes a lot of manpower, material and financial resources
Solution Approach 1:
The calibration system performs self-testing and self-calibration without requiring professional drivers. The automated system collects test data, processes it through algorithms, and generates calibration parameters independently, eliminating the need for human drivers and significantly reducing manpower requirements while maintaining calibration quality.
Solution Approach 2:
The patent extracts the essential calibration function from the manual process involving drivers and engineers, isolating it as an automated computational task. By separating the calibration determination from human operations, the system retains the necessary testing and data collection while removing the resource-intensive manual components.
3Manufacturing precision
If manual calibration is used to ensure optimal local performance, then specific regional requirements can be met, but it is difficult to calibrate globally and costs are high
Solution Approach 1:
The calibration system is designed with universal applicability, using standardized test procedures and algorithms that can be applied across different regions and vehicle types. The automated system compares test data with standard values and generates region-specific calibration parameters through the same fundamental process, enabling global deployment while maintaining local optimization capability.
Solution Approach 2:
The system determines calibration parameters by comparing test results with standard values and automatically adjusting parameters based on the comparison outcomes. This parameter adjustment mechanism can be applied universally across different regions, with the specific parameter values adapting to local requirements while the overall calibration approach remains consistent globally.
4Reliability
If multiple calibration parameters are optimized simultaneously, then comprehensive performance improvement can be achieved, but the optimization process becomes computationally intensive and time-consuming
Solution Approach 1:
The calibration optimization process is segmented into distinct stages: data collection, data processing, comparison with standards, and parameter determination. By dividing the comprehensive calibration task into sequential segments, the system can handle multiple parameters systematically without overwhelming computational requirements at any single stage, reducing overall optimization time while maintaining comprehensive performance improvement.
Data Source
AI summary
Embodiments of this application disclose a calibration method, apparatus, and system, and relate to the calibration field, to improve calibration efficiency of a new energy vehicle and an intelligent vehicle, and reduce calibration costs. A specific solution is as follows: First, an observation signal of a to-be-tested system is obtained. Next, a corresponding performance index is calculated based on the observation signal of the to-be-tested system. Then, an updated calibration parameter is obtained by using an optimization algorithm based on the performance index, a constraint condition, and at least one objective function, where the objective function indicates a function relationship between performance indexes. Finally, the updated calibration parameter is sent to a controller.