Minimum equivalent fuel consumption-based hybrid electrical vehicle control method

A hybrid vehicle, fuel consumption technology, applied in hybrid vehicles, motor vehicles, transportation and packaging, etc., can solve problems such as difficult to achieve

Inactive Publication Date: 2013-06-19
DALIAN UNIV OF TECH
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the global optimal control method can achieve real optimization, it needs to know the entire driving condition in advance to obtain the global optimal performance of the hybrid vehicle under the driving condition. hard to accomplish

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
  • Minimum equivalent fuel consumption-based hybrid electrical vehicle control method
  • Minimum equivalent fuel consumption-based hybrid electrical vehicle control method
  • Minimum equivalent fuel consumption-based hybrid electrical vehicle control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0057] Take the dual-shaft parallel hybrid drive system as an example to illustrate, such as figure 1 The present invention includes two parts offline and online; the offline part includes a nominal equivalent factor obtaining module, and the online part includes a signal acquisition module, a working condition identification module, an adaptive adjustment module and an optimal control module; the principle of the method is as follows: figure 2 As shown, the specific control method includes the following steps:

[0058] First, to obtain the nominal equivalence factor, it is done by the nominal equivalence factor obtaining module in the offline part;

[0059] By analyzing the driving conditions of the vehicle, principal component analysis and cluster analysis techniques are used to obtain five different types of driving conditions, namely, the operating conditions in the downtown area, the operating conditions in the relatively unobstructed areas in the city, the operating con...

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 minimum equivalent fuel consumption-based hybrid electrical vehicle control method, which comprises the following steps of: acquiring a nominal equivalence factor offline; acquiring signals; identifying working conditions; performing adaptive regulation; and performing optimum control. Under the condition of meeting the requirement of dynamic property, the minimum equivalent fuel consumption-based hybrid electrical vehicle control method is adopted, adaptive regulation can be performed according to an actual working condition, and the electric quantity balance of a storage battery is ensured, so that the performance and service life of the storage battery are ensured. The nominal equivalence factor is acquired through simulation calculation in the offline state, and calculated quantity for real-time control of the whole vehicle is reduced. In addition, different from a global optimal control method in which a future vehicle running working condition is required to be known (the future vehicle running working condition is unpredictable actually), the method has high implementability; and by the method, the real-time optimal energy management decision can be provided, the fuel economy of the whole vehicle is further improved, and the emission is reduced.

Description

technical field [0001] The invention relates to a hybrid vehicle control method, in particular to a hybrid vehicle control method based on minimum equivalent fuel consumption. Background technique [0002] Energy saving, environmental protection and safety are the three major themes for the development of the world automobile industry in the 21st century. Hybrid electric vehicles are considered to be one of the effective ways to solve the energy crisis and environmental pollution problems faced by automobiles in this century. Due to the integration of the characteristics of traditional vehicles and pure electric vehicles, hybrid vehicles have two on-board energy sources, which enable them to have lower emissions and higher fuel economy than traditional vehicles, as well as longer driving than pure electric vehicles. Mileage characteristics. The control method is the key to determine the fuel economy and emission performance of hybrid vehicles, and it is of great significan...

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): B60W20/00B60W10/04B60W10/26B60W40/02B60W40/105B60W20/10
Inventor 连静李琳辉周雅夫韩虎沈晓勇吕仁志田宝玉贾朴
Owner DALIAN UNIV OF TECH
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