Vehicle Driving Dynamics Analysis Using a Simulated Reference Vehicle
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Solution Overview
Problem
Existing methods for analyzing and optimizing vehicle driving behavior are style-dependent and require numerous test operations to be independent of the driver's style, relying on complex lookup tables that need frequent redefinition and maintenance.
Innovation Solution
A computer-aided method that simulates a reference vehicle's operation using a vehicle model to compare with the tested vehicle's data, allowing for a style-independent analysis and optimization by directly comparing measured variables with model-based reference variables, eliminating the need for vehicle class-specific lookup tables and corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If complex lookup tables are used to calculate evaluation parameters for driving dynamics analysis, then the analysis can be performed with predetermined target driving styles, but the system requires frequent redefinition and maintenance of lookup tables for different vehicle classes and driving styles
Solution Approach 1:
The patent creates a virtual copy of the test vehicle through a vehicle model that replicates the vehicle's characteristics, trajectory, and path speeds. This virtual reference vehicle allows evaluation parameters to be calculated through simulation rather than lookup tables, eliminating the need for frequent redefinition of evaluation criteria for different vehicle classes and driving styles.
Solution Approach 2:
The patent changes the fundamental parameter for calculating evaluation parameters from predetermined lookup tables to dynamically simulated values based on the vehicle model. By simulating the reference vehicle's operation with matched trajectory and path speeds, the system adapts to different vehicle classes and driving styles without requiring manual reconfiguration of evaluation criteria.
2Reliability
If numerous test operations are conducted to achieve driving-style-independent analysis, then the analysis becomes independent of individual driver styles, but the time and resources required for testing increase significantly
Solution Approach 1:
The patent uses a virtual copy (vehicle model) to represent the test vehicle, allowing multiple test scenarios to be simulated without physically conducting numerous test operations. The vehicle model replicates the vehicle's behavior under different conditions, providing objective comparison data without requiring repeated real-world testing.
Solution Approach 2:
The patent performs preliminary simulation of the reference vehicle's operation before actual comparison with test data. By pre-calculating evaluation parameters through simulation based on the vehicle model and matched trajectory, the system prepares reference data in advance, eliminating the need for numerous subsequent test operations to establish baseline comparisons.
3Measurement precision
If vehicle class-specific lookup tables and corrections are used for evaluation, then accurate comparisons can be made within specific vehicle classes, but the system requires frequent redefinition and maintenance for different vehicle classes
Solution Approach 1:
The patent creates a universal evaluation system where the vehicle model can represent any vehicle class by inputting appropriate vehicle characteristics. The same simulation-based evaluation process works across different vehicle classes without requiring class-specific lookup tables, making the system both precise and universally applicable.
Solution Approach 2:
The patent changes the evaluation approach from fixed lookup tables to dynamic simulation where evaluation parameters are calculated based on the vehicle model's characteristics. By adjusting the vehicle model parameters to match the test vehicle, the system maintains measurement precision while adapting to different vehicle classes without redefinition of evaluation criteria.
Data Source
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AI summary
The invention relates to a computer-aided method and system for analysing and/or optimising a vehicle to be tested, wherein a trajectory of the vehicle to be tested, more particularly a centre of gravity of the vehicle to be tested, and road speeds on the trajectory are determined on the basis of a test operation of the vehicle to be tested, wherein operation of a reference vehicle is simulated by means of a vehicle model of the reference vehicle such that the reference vehicle, more particularly a centre of gravity of the reference vehicle, at least substantially describes in the simulation the trajectory determined on the vehicle to be tested with the determined road speeds, and wherein the vehicle to be tested is compared with the reference vehicle in respect of at least one physical variable to be determined, which characterises at least one property of vehicles.