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

Estimation method of battery dump energy based on combined sampling point Kalman filtering

A technology of remaining battery power and Kalman filtering, which is applied in the direction of measuring electrical variables, measuring electricity, and measuring devices, and can solve problems such as poor accuracy and inability to meet online detection requirements

Inactive Publication Date: 2009-12-16
HANGZHOU DIANZI UNIV
View PDF0 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the open circuit voltage method, the battery must stand for a long time to reach a stable state, and it is only suitable for the SOC estimation of the electric vehicle in the parking state, which cannot meet the online detection requirements; using the ampere-hour method is easily affected by the accuracy of current measurement. Poor accuracy at high temperature or with large current fluctuations

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
  • Estimation method of battery dump energy based on combined sampling point Kalman filtering
  • Estimation method of battery dump energy based on combined sampling point Kalman filtering
  • Estimation method of battery dump energy based on combined sampling point Kalman filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] The specific method of the battery remaining power estimation method based on the combined sampling point Kalman filter is:

[0077] Step (1) Measure the battery terminal voltage y at time k through the measuring circuit k and battery supply current i k , k=1, 2, 3, . . .

[0078] Step (2) Use the state equation and the observation equation to represent the state of charge of the battery at each moment, where the state equation: z k + 1 = f ( z k , i k ) + u k = z k - ( η i Δt Q n ...

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 relates to an estimation method of battery dump energy based on combined sampling point Kalman filtering, and aims to solve the problem that the prior method cannot meet the requirement of online detection and has poor precision. The estimation method comprises the following steps: firstly, measuring battery terminal voltage yk and battery supply current ik at k moment through a measuring circuit; secondly, showing battery state of charge at each moment by a state equation and an observation equation; and finally, estimating the battery dump energy by adopting standard sampling point Kalman filtering. The estimation method has the advantages that the method can conveniently carry out quick estimation of battery SOC and has fast convergence speed and high estimation precision; moreover, the method is suitable for quick estimation of SOC of various batteries.

Description

technical field [0001] The invention belongs to the technical field of lithium batteries, and in particular relates to a method for estimating remaining battery power based on combined sampling point Kalman filtering. Background technique [0002] As a backup power source, batteries have been widely used in communications, power systems, military equipment and other fields. Compared with traditional fuel vehicles, electric vehicles can achieve zero emissions, so they are the main development direction of future vehicles. In an electric vehicle, the battery is directly used as an active energy supply component, so its working condition is directly related to the driving safety and operational reliability of the entire vehicle. In order to ensure the good performance of the battery pack in electric vehicles and prolong the service life of the battery pack, it is necessary to know the operating status of the battery in a timely and accurate manner, and manage and control the b...

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): G01R31/36
Inventor 何志伟高明煜徐杰黄继业曾毓
Owner HANGZHOU DIANZI UNIV
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