Autonomous Vehicle Dynamic Parameter Testing via Self-Service Control
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Solution Overview
Problem
Manual measurement of a vehicle's dynamic parameters under various conditions is costly, dangerous, and prone to human error, as it requires professional drivers to record data at extreme speeds, posing risks such as rollovers and crashes.
Innovation Solution
An autonomous vehicle system that automatically controls the vehicle to travel under specified conditions, detecting and recording data using sensors, thereby determining dynamic parameters and calibrating the vehicle's dynamic model without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual measurement is used to obtain dynamic parameters under various conditions, then the dynamic model can be calibrated, but the test cost increases and safety risks arise due to extreme speed requirements
Solution Approach 1:
The autonomous vehicle performs self-testing by automatically controlling its own motion states and collecting dynamic parameters without external manual intervention. The vehicle's control system autonomously executes test protocols, adjusting speed, acceleration, and other parameters while sensors continuously monitor dynamic characteristics, enabling the system to calibrate its own dynamic model
Solution Approach 2:
The patent replaces the mechanical manual driving system with an automated control system. Instead of a human driver manually operating the vehicle through extreme conditions, the control system electronically manages motion states, and instead of manual data recording, automated sensors and processors capture and analyze dynamic parameters
2Measurement precision
If manual measurement is used to obtain dynamic parameters, then the test can be performed, but human error occurs and professionalism is required
Solution Approach 1:
The patent replaces manual measurement operations with automated sensing and processing systems. Sensors continuously and objectively capture dynamic parameters such as acceleration, velocity, and position data, eliminating human observational errors. The control system automatically processes this data to determine dynamic parameters with high precision
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor actual vehicle behavior, the control system compares measured values with expected values, and adjustments are automatically made to maintain measurement accuracy. This closed-loop approach ensures consistent and reliable data collection across various test conditions
Data Source
AI summary
A method, an apparatus, a storage medium, and an electronic device for testing dynamic parameter of vehicle are provided. The method for testing dynamic parameter of vehicle provided by the present disclosure includes: first obtaining a control parameter for an autonomous vehicle; then controlling the vehicle to travel automatically under a given environment according to the control parameter, detecting and recording traveling data of the vehicle; and at last determining a dynamic parameter of the vehicle according to the traveling data. According to the method for testing dynamic parameter provided by the present disclosure, the characteristic of automatic driving of an autonomous vehicle is utilized to achieve an automatic measurement of the dynamic parameter, thereby reducing cost for calibrating the vehicle and significantly improving safety during the test. Additionally, human error caused by manually driving during the test can be avoided effectively.