Autonomous Vehicle Speed Control via Virtual Pedal Calibration
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Solution Overview
Problem
Existing autonomous vehicle speed control systems are inaccurate and time-consuming due to variations in driving environments, vehicle mass, sensor settings, wheel wear, and pedal calibration, requiring extensive factory calibration of pedals for uniformity, which consumes significant time and labor.
Innovation Solution
A method that generates an ideal speed parameter based on historical empirical parameters and adjusts vehicle speed control instructions to match real-time parameters, using a preset processing delay different from the inherent system delay, allowing for consistent vehicle speed control without pedal calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pedal calibration is performed for each vehicle to ensure uniform speed control, then manufacturing precision is improved, but productivity deteriorates due to time-consuming calibration processes
Solution Approach 1:
The patent creates a virtual copy of the pedal calibration process through simulation. A pedal calibration simulation module replicates the mechanical installation error characteristics without requiring physical calibration of each vehicle. The simulation generates virtual sensor output signals that mimic real calibration results, allowing the system to learn and adapt to pedal characteristics through virtual experimentation rather than time-consuming physical calibration of each vehicle.
Solution Approach 2:
The patent performs preliminary calibration actions in the virtual domain before actual vehicle operation. The pedal calibration simulation module pre-establishes the relationship between pedal input and sensor output by simulating various calibration states. This preliminary virtual calibration allows the control system to be pre-adapted to different pedal installation variations, eliminating the need for time-consuming on-site calibration of each vehicle during production.
2Reliability
If real-time speed adjustment is implemented to compensate for various affecting factors, then reliability is improved, but device complexity worsens due to additional control mechanisms
Solution Approach 1:
The patent replaces complex mechanical calibration and adjustment mechanisms with a virtual simulation and software-based control system. Instead of physically adjusting pedal components or installing additional sensors to compensate for variations, the system uses a pedal calibration simulation module that virtually models the mechanical behavior. This substitution of mechanical systems with virtual modeling reduces physical complexity while maintaining or improving control accuracy through software-based real-time compensation.
Solution Approach 2:
The patent introduces a virtual intermediary layer between the physical pedal and the control system. The pedal calibration simulation module acts as a virtual intermediary that translates physical pedal inputs into accurate control signals by compensating for installation errors and variations. This intermediary virtual model allows the control system to understand and adapt to different pedal characteristics without requiring direct physical modification or complex mechanical adjustment mechanisms.
3Adaptability or versatility
If historical empirical parameters from multiple vehicles are used to determine processing delay, then adaptability is improved, but loss of time increases due to data collection and processing requirements
Solution Approach 1:
The patent performs preliminary data collection and processing during the vehicle production and testing phases. Historical empirical parameters from multiple vehicles are collected and stored in advance, creating a database of calibration characteristics and processing delay patterns. This preliminary action allows the system to have pre-prepared reference data ready for quick retrieval and application during actual operation, reducing the time needed for real-time parameter determination while maintaining high adaptability to different vehicle models.
Data Source
AI summary
Disclosed are a method and apparatus for controlling a vehicle speed for autonomous driving, an electronic device and a computer-readable storage medium. The method includes: obtaining a basic vehicle speed control instruction output by a central controller of a target vehicle in real time; generating an ideal speed parameter matching the basic vehicle speed control instruction according to a preset processing delay; generating an additional vehicle speed control instruction to perform vehicle speed control on the target vehicle according to a difference between the ideal speed parameter and a real-time speed parameter of the target vehicle; and returning to perform the operation of generating the ideal speed parameter matching the basic vehicle speed control instruction according to the preset processing delay until the real-time speed parameter of the target vehicle tends to be consistent with the ideal speed parameter.