Hybrid electric vehicle energy-saving predication control method based on decentralized control

A hybrid electric vehicle, predictive control technology, applied to hybrid electric vehicles, motor vehicles, control devices, etc., can solve problems such as difficult operation and large amount of calculation

Inactive Publication Date: 2015-11-25
HENAN POLYTECHNIC UNIV
View PDF4 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This control method has the disadvantages of difficult operation and large amount of calculation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hybrid electric vehicle energy-saving predication control method based on decentralized control
  • Hybrid electric vehicle energy-saving predication control method based on decentralized control
  • Hybrid electric vehicle energy-saving predication control method based on decentralized control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0054] Embodiment: Take the planetary gear type hybrid drive system as an example for illustration, such as figure 1 As shown, the present invention discloses a hybrid electric vehicle energy-saving predictive control method based on decentralized control. The first step is information collection, the second step is vehicle modeling, the third step is formula control strategy, and the fourth step is online optimization. Excellent control. The principle of the method is as figure 2 As shown, the specific control method includes the following steps:

[0055] Step 1) Information collection:

[0056] The global positioning system collects the position information of the front vehicle, the rear vehicle and the own vehicle as real-time vehicle status feedback, and the vehicle-mounted radar speed measuring device collects the speed of the front vehicle and the speed of the rear vehicle for tracking control. Intelligent transportation system, vehicle-road communication The system ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hybrid electric vehicle energy-saving predication control method based on decentralized control. The method comprises the following steps that real-time vehicle traffic information, real-time front vehicle traffic information and real-time rear vehicle traffic information are obtained from a global positioning system, an inter-vehicle communication system, a vehicle condition communication system and an intelligent traffic system to serve as system input; a hybrid electric vehicle queue driving decentralized control mathematical model is built to serve as a basis for predicating the state of a vehicle in the future; the hybrid electric vehicle decentralized control queue driving optimal control is defined, and a functional equation for solving the optimal control quantity is provided; the optimal control is fed back in real time, the optimal control quantity is solved, a planet gear mechanism is used as an electronic infinitely-variable transmission, and an engine works at the optimal working point; and road traffic information is applied to predicate the driving state of the front vehicle and the driving state of the rear vehicle, and energy flowing of the hybrid electric vehicle is adjusted online, so that the targets of energy saving and emission reduction are achieved, the calculation time is greatly shortened, and real-time control characteristics of the vehicle are improved.

Description

technical field [0001] The invention relates to a distributed control-based energy-saving predictive control method for a hybrid electric vehicle, in particular to a real-time optimal control method for a hybrid electric vehicle. Background technique [0002] The increasingly severe global energy and environmental situation, especially the rapid growth of car ownership, promotes the development of new energy vehicles and intelligent transportation systems. In order to solve the three major problems of traffic congestion, environmental deterioration and traffic accidents, the present invention proposes an energy-saving predictive control method for hybrid electric vehicles based on queue driving. The vehicle platoon driving technology refers to the technology in which multiple vehicles travel in a platoon with a small inter-vehicle distance. This technology can greatly improve the aerodynamic characteristics around the vehicle, reduce its air resistance, enhance traffic safe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): B60W20/00B60W10/06B60W10/08B60W10/26
CPCB60W10/06B60W10/08B60W10/26B60W40/04B60W2510/244B60W2552/15B60W2554/804B60W2555/60B60W2710/0666B60W2710/083Y02T10/62
Inventor 余开江许孝卓谭兴国刘巍荆鹏辉谢贝贝胡治国王莉王允建
Owner HENAN POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap