Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A comprehensive predictive energy management method for hybrid electric vehicles

A technology for hybrid and electric vehicles, applied in the direction of forecasting, neural learning methods, data processing applications, etc., can solve the problems of not being able to apply online in real time, losing the practical application value of energy management, etc., and achieve the effect of improving energy saving potential and prediction accuracy

Active Publication Date: 2022-01-28
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Although the traditional hybrid electric vehicle energy management can perform global optimization to obtain the optimal solution, it cannot be applied online in real time, thus losing the practical application value of energy management.

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
  • A comprehensive predictive energy management method for hybrid electric vehicles
  • A comprehensive predictive energy management method for hybrid electric vehicles
  • A comprehensive predictive energy management method for hybrid electric vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] Such as figure 1 As shown, in a preferred embodiment of the present invention, specifically perform the following steps:

[0021] S01. Collect vehicle driving data and occupant data, and establish a database of vehicle historical driving conditions and a vehicle model;

[0022] Vehicle driving data collection is mainly through installing an inertial navigation system on the hybrid electric vehicle that needs to collect vehicle driving data to collect vehicle speed, acceleration, slope, steering, geogra...

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 present invention provides a comprehensive predictive energy management method for hybrid electric vehicles, which combines vehicle speed prediction and occupant prediction, and more comprehensively considers the future short-term power demand in the real application scene of the vehicle; adopts the method based on model predictive control, which can To realize the real-time online application of vehicle energy management, the method provided by the present invention can realize real-time online energy management of vehicles with more comprehensive prediction conditions and more accurate prediction accuracy, improve the energy-saving potential of hybrid electric vehicles, and is also easy to realize online and in real time. It has good engineering application prospect.

Description

technical field [0001] The invention relates to the technical field of hybrid electric vehicle energy management, in particular to an online comprehensive predictive energy management method based on model predictive control combined with prediction of hybrid electric bus speed and number of passengers. Background technique [0002] Although the traditional hybrid electric vehicle energy management can perform global optimization to obtain the optimal solution, it cannot be applied online in real time, thus losing the practical application value of energy management. Then someone proposed online predictive energy management based on model predictive control. Usually, this kind of predictive energy management only predicts the vehicle speed; however, the energy management of hybrid electric vehicles is not only affected by vehicle speed and road conditions, but also by vehicle load. , which has an important impact on vehicle power requirements and power allocation strategies....

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 Patents(China)
IPC IPC(8): G06Q10/04G06N3/08G06N3/04
CPCG06Q10/04G06N3/084G06N3/045
Inventor 何洪文闫梅李梦林熊瑞
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com