LS-SVM power cell SOC estimation method and system

A technology of support vector machine and power battery, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., and can solve problems that have not yet been seen.

Active Publication Date: 2015-12-02
GUILIN UNIV OF ELECTRONIC TECH
View PDF5 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0025] However, there is no report on the use of the least squares support v

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
  • LS-SVM power cell SOC estimation method and system
  • LS-SVM power cell SOC estimation method and system
  • LS-SVM power cell SOC estimation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] An embodiment of a method for estimating the state of charge of a power battery using a least squares support vector machine

[0082] The main steps of the embodiment of the method for estimating the state of charge of the power battery with the least squares support vector machine Figure such as figure 2 As shown, the process Figure such as image 3 As shown, the specific steps are as follows:

[0083] Ⅰ. Power battery model and parameter open circuit voltage U oc identification

[0084] use figure 1 The Thevenin model shown is the battery equivalent model, and the polarization resistance R of the battery p with the polarized capacitance of the battery C p Parallel connection constitutes a first-order RC structure, which represents the polarization reaction of the battery, and the voltage across the RC is U p (t); series ohmic resistance R 0 and Uoc, Uoc is the open-circuit voltage OCV of the battery, and the battery terminal voltage U(t) and the interna...

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 provides an LS-SVM (Least squares support vector machine) power cell SOC (State of Charge) estimation method and system, comprising the steps of: I, obtaining a Uoc based on a power cell model and parameters through an FFRLS (Forgetting factor least squares algorithm); II, fitting a Uoc-SOC relation through the FFRLS; III, building an on-line LS-SVM SOC training model; IV, estimating an SOC initial value, and estimating an SOC through an Ah method (Ampere-hour Counting method); and V, correcting and compensating the SOC estimated through the Ah method. In the system, real-time signals of voltage and current sensors access to a microprocessor; processing modules used for executing the method are stored in a program memory, and calculate and directly display real-time SOC estimation values. The method and system can effectively compensate for fitting errors and Ah method accumulative errors, and adjust model parameters on line and in real time, and have the characteristics of fast operation speed, high traceability, and accurate estimation; according to experiments, the SOC estimation precision through the method is high, and the mean absolute error is only 1.28%.

Description

technical field [0001] The present invention relates to the field of electric vehicle power battery charge state estimation, specifically a least squares support vector machine (Least squares support vector machine, LS-SVM) power battery charge state estimation method and system, using an online least squares support vector machine (LS-SVM) Estimate the open circuit voltage OCV of the battery, estimate the state of charge SOC according to the ampere-hour integral method, and use the deviation of the open circuit voltage OCV to correct the state of charge SOC to improve the estimation accuracy of the state of charge SOC. Background technique [0002] As environmental pollution, energy crisis and energy security become increasingly prominent, the research on new energy electric vehicles has become the focus of attention all over the world. In the power battery management system of electric vehicles, the prediction of battery state of charge (SOC) plays a decisive role in charg...

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): G01R31/36
Inventor 党选举言理伍锡如刘政姜辉张向文李爽汪超黄品高王土央
Owner GUILIN UNIV OF ELECTRONIC 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