Electric car driving range evaluation method based on working condition identification and fuzzy energy consumption

A technology for driving mileage and working condition recognition. It is used in electric vehicles, character and pattern recognition, and computing. It can solve problems such as the impact of power consumption and the inability to obtain information about electric vehicles in real time, so as to achieve the effect of real energy consumption.

Inactive Publication Date: 2016-08-17
JIANGSU UNIV
View PDF6 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies of the prior art, the present invention provides a method for estimating the mileage of an electric vehicle based on working condition identification and fuzzy energy consump

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
  • Electric car driving range evaluation method based on working condition identification and fuzzy energy consumption
  • Electric car driving range evaluation method based on working condition identification and fuzzy energy consumption
  • Electric car driving range evaluation method based on working condition identification and fuzzy energy consumption

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0037] The flow chart of the estimation method for the driving range of electric vehicles based on the identification of working conditions and fuzzy energy consumption is as follows: figure 1 shown, including steps:

[0038] S1. Realize the division of working conditions based on the fuzzy C-means clustering algorithm and obtain the parameters for identifying working conditions,

[0039] S1.1, select 30 standard working conditions according to the above algorithm and divide them into 330 segments, and cluster the 330 segments as C=3, C=4, C=5, C=6 class analysis;

[0040] S1.2, compare and analyze the cluster center results of the idle speed ratio, uniform speed ratio, and deceleration ratio, and select the C value that can clearly distinguish each type of wo...

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 an electric car driving range evaluation method based on working condition identification and fuzzy energy consumption. The electric car driving range evaluation method is established based on working condition identification and fuzzy energy consumption and includes the steps of dividing working conditions based on fuzzy C mean value cluster algorithm to obtain parameters for identifying working conditions, establishing a fuzzy rule base between characteristic parameters and energy consumption, optimizing driving mileage L with kilometer as the unit, and estimating residual driving range Srest. The method combines working condition identification and energy consumption modeling, obtains related information of an electric car on a real-time basis, and is rarely affected by external factors such as ambient temperature and vehicle driving states. Energy consumption is further divided in to a certain level, so that real energy consumption under certain speed can be reflected.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a method for estimating the driving range of electric vehicles based on working condition identification and fuzzy energy consumption. Background technique [0002] With the rapid increase in the number of traditional fuel vehicles, the environmental pollution caused by fuel vehicles and the problem of global fuel depletion are also becoming more and more serious. Due to the advantages of environmental protection and energy saving, electric vehicles have attracted more and more attention, but because of their limited driving range, they have been widely promoted. In order to improve the convenience of using electric vehicles, it is necessary not only to improve the mileage, but also to study the real-time monitoring of the status of electric vehicles and the real-time estimation of the mileage, so as to provide accurate vehicle information for drivers. The driving rang...

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
IPC IPC(8): G06K9/62
CPCB60L2260/52G06F18/23213
Inventor 盘朝奉陈燎谢明维李桂权陈龙江浩斌袁朝春王丽梅汪少华张瑞
Owner JIANGSU 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