Road condition pre-identification system for vehicle suspension control based on Internet of Things

Abstract

The invention discloses a road condition pre-identifying system based on Internet of Things and suitable for vehicle suspension control. The system is composed of a vehicle terminal and a server. The vehicle terminal includes a GPS module, a road information collecting module, a vehicle information module, an ECU and a vehicle control module. The server is composed of an information exchange module, a database and an information processing module. Road information collected by vehicles moving on a road ahead is obtained through the Internet of Things and the required road condition information is collected and uploaded to a server through the vehicle terminal, so that necessary data including front road information and the like is sent to a control part of a vehicle suspension. A road condition identification result is obtained through computation by the server based on a large amount of uploaded data. The identification result in the server is sent to a target vehicle before the target vehicle reaches a target area. Therefore, a function of pre-identifying front road condition is realized and inevitable hysteretic nature of the suspension control system is improved, so that vehicle suspension control is enhanced.

Description

technical field [0001] The invention relates to a road condition pre-identification system, in particular to a road condition pre-identification system applied to vehicle suspension control based on the Internet of Things. Background technique [0002] The identification of road conditions plays an irreplaceable role in the control of vehicle active suspension. Today's working condition identification has two types: real-time working condition identification and working condition pre-identification. Among them, the real-time working condition identification is an identification method in which the vehicle-mounted sensor collects data and the vehicle-mounted processor performs real-time calculation on the collected data to obtain the working condition identification result. Real-time working condition identification has a high dependence on sensor accuracy and processor performance, and at the same time, the lag problem of real-time identification cannot be avoided. [0003...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the shortcomings of high dependence on sensors and processors, hysteresis, and slow update of working condition prediction methods and poor timeliness in real-time working condition identification, combined with the rapid development of the Internet of Things, the present invention proposes an application based on the Internet of Things Road condition pre-identification system for vehicle suspension control

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