Development and test system and method for whole vehicle in-the-loop automatic driving in laboratory

Abstract

The invention provides a development and test system and method for whole vehicle in-the-loop automatic driving in a laboratory. The system comprises a four-wheel-drive road simulation dynamometer, a dynamometer control system, a front wheel restraint system, a steering resistance simulation system, a vehicle, a virtual scene simulation system, a scene projector, an annular curtain automatic driving real-time controller, a radar signal simulation system, a test system control cabinet, an automatic driving algorithm development and test management system, a network communication switch, a radar simulation signal camera obscura, and a 5G Internet of Things information simulation system. Accurate road load simulation, including simulation of different loads of wheels under different road surfaces, is realized by using a real tested vehicle and utilizing a road load simulation system, and an automatic ADAS test result and a control algorithm based on a VIL environment are closest to a real application scene. The development of the VIL automatic driving platform and the application of the test platform can greatly shorten the time and cost of the ADAS vehicle road test.

Description

technical field [0001] The invention relates to the technical field of development and testing of electric vehicle automatic driving algorithms, in particular to a development and testing system and method for vehicle-in-the-loop automatic driving in a laboratory. Background technique [0002] The basic principle of the automatic driving of the car is to sense the road and surrounding road condition information, vehicle driving trajectory and body posture through the sensor, and the vehicle controller performs fusion calculation on the road condition information, plans the vehicle's movement trajectory, generates control decisions and executes instructions, Control the actuators of the vehicle to perform corresponding operations (lateral steering movement and longitudinal acceleration and deceleration movement control). The development process of various levels of autonomous driving modules and functions basically follows the following V-shaped route: model-in-the-loop (MIL)...

AI Technical Summary

Problems solved by technology

This method also has the disadvantages of high test costs, limited test sites, and limited scenarios. The simulation of the environmental climate needs to be guaranteed by the weather, and the repeatability of the experimental results cannot be guaranteed.

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