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Stochastic Predictive Cruise Control System for Intelligent Connected Vehicles

A cruise control and intelligent network technology, applied in general control systems, control/regulation systems, control devices, etc., can solve the problem of not considering the future speed changes of the preceding vehicle, and achieve the effect of saving energy

Active Publication Date: 2021-09-07
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Most of the existing car cruise control systems only adjust the speed of the vehicle according to the current speed of the vehicle in front, without considering the future speed changes of the vehicle in front

Method used

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  • Stochastic Predictive Cruise Control System for Intelligent Connected Vehicles
  • Stochastic Predictive Cruise Control System for Intelligent Connected Vehicles
  • Stochastic Predictive Cruise Control System for Intelligent Connected Vehicles

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Experimental program
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Embodiment Construction

[0062] The steps of the present invention are:

[0063] The first step is information collection. Collect key multi-source heterogeneous networking information such as surrounding vehicle status information, geographic information, traffic light status information, etc., for the control-oriented model involved in the second step, the establishment of the front vehicle speed prediction model in the third step, and the second step. The design of the five-step control system provides the necessary data support.

[0064] The second step is to establish a control-oriented cruise control dynamics model. When the car enters the cruise mode, the image 3 For example, in the process of following a car, take V l Indicates the longitudinal speed of the vehicle in front, V f Indicates the longitudinal speed of the self-vehicle, S represents the distance between the self-vehicle and the preceding vehicle (that is, the longitudinal distance), u represents the longitudinal acceleration o...

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Abstract

A stochastic predictive cruise control system for an intelligent networked vehicle belongs to the field of energy-saving control for intelligent networked vehicles. The purpose of the present invention is to design a stochastic predictive cruise control system for intelligent networked vehicles considering the uncertainty of future vehicle speed. The system can predict the future speed sequence of the vehicle in front in the cruise mode and quantify the uncertainty, and integrate the uncertainty information into the optimal control of the following vehicle decision, achieving a stochastic predictive cruise control system for intelligent networked vehicles that saves energy consumption . The steps of the invention are: information collection, establishment of a control-oriented cruise control dynamics model, establishment of a preceding vehicle speed prediction model, prediction of the future vehicle speed information of the preceding vehicle according to the preceding vehicle speed prediction model, description of SMPC optimization control problems, and solution of SMPC optimization problems 1. Realize the speed control of the vehicle in cruising and following the vehicle, and realize the energy-saving control of the vehicle in the rolling time domain based on SMPC. The invention realizes the online solution of the optimization problem with probability constraints, and saves the energy consumption in the cruising process of the vehicle.

Description

technical field [0001] The invention belongs to the field of energy-saving control of intelligent networked automobiles. Background technique [0002] In recent years, with the continuous increase of car ownership, problems such as energy consumption and traffic congestion have become increasingly prominent. Advanced Driving Assistance System (Advanced Driving Assistance System, ADAS) utilizes on-board sensors and advanced controllers to assist or replace drivers in making some important driving decisions and improve driving comfort and safety. The cruise control system is an important and important part of ADAS. It monitors the following distance through radar and assists the driver to complete the longitudinal active following. The car-following strategy in the vehicle cruise mode has a huge impact on the fuel economy of the vehicle. With the development of communication and ubiquitous sensing, intelligent networked vehicles can obtain the surrounding traffic information...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/14B60W40/04B60W40/105B60W50/00G05B13/04
CPCB60W30/143B60W40/04B60W40/105B60W50/00B60W2050/0028G05B13/042G05B13/048
Inventor 宫洵王昱昊胡云峰陈虹
Owner JILIN UNIV
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