Test Vehicle Speed Control Using Dual Accelerator Maps
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Solution Overview
Problem
Current automatic driving robots require pre-learning for a running performance map for each vehicle, which takes about 20 to 40 minutes and hinders test efficiency.
Innovation Solution
An automatic test object driving device using a driving control unit with a first and second accelerator map to determine and correct accelerator-depression amounts based on command vehicle speed, allowing for automatic driving without pre-learning, and includes feedforward and feedback control sections to adjust and update maps for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-learning is performed for each test vehicle to obtain a running performance map, then the automatic driving robot can accurately control the vehicle speed, but the test efficiency deteriorates due to the time-consuming pre-learning process (20-40 minutes per vehicle)
Solution Approach 1:
The patent pre-calculates and stores accelerator maps for multiple vehicle models in advance, so that when a test vehicle is brought in, the system can directly select and use the corresponding pre-prepared map without needing to perform time-consuming pre-learning for each individual vehicle
Solution Approach 2:
The patent creates a universal accelerator map that can be applied to multiple different vehicle models. By generalizing the acceleration characteristics across vehicle types, a single map structure serves multiple vehicles, eliminating the need for vehicle-specific pre-learning while maintaining control accuracy
2Manufacturing precision
If a running performance map is obtained for each test vehicle through pre-learning, then the accelerator depression amount can be accurately determined, but the device complexity increases due to the need for individual vehicle calibration
Solution Approach 1:
The patent creates standardized accelerator maps that serve as templates or copies for different vehicle models. Instead of creating unique calibration data for each vehicle, the system uses replicated map structures that can be selected based on vehicle type, reducing calibration complexity while maintaining precision
Data Source
AI summary
The present invention is intended to make it possible to automatically drive a test object without performing pre-learning for a running performance map for each vehicle. There is provided an automatic test object driving device that automatically drives a test vehicle based on a command vehicle speed, and that includes a driving actuator for performing driving operation of the test vehicle, and a driving control unit for controlling the driving actuator. The driving control unit includes a first accelerator map and a second accelerator map each of which indicates a relationship among a vehicle-speed-related value, an acceleration-related value, and an accelerator-depression-amount-related value. The driving control unit uses the first accelerator map to determine an accelerator depression amount corresponding to the command vehicle speed, and uses the second accelerator map to correct the accelerator depression amount by feeding back a vehicle speed and an acceleration of the test vehicle.