Unlock instant, AI-driven research and patent intelligence for your innovation.

Joint Estimation Method of State of Charge and State of Health of Li-ion Batteries

A lithium-ion battery, state-of-charge technology, applied in the direction of calculation, measurement of electricity, measurement of electrical variables, etc., can solve the problems of low estimation accuracy and occupation of resources, etc.

Active Publication Date: 2017-12-19
JILIN UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to solve the problems of separate design of estimators, low estimation accuracy and high resource occupation in the existing methods for estimating the state of charge and state of health of batteries, and provides a combined state of charge and state of health of lithium-ion batteries. Estimation method

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
  • Joint Estimation Method of State of Charge and State of Health of Li-ion Batteries
  • Joint Estimation Method of State of Charge and State of Health of Li-ion Batteries
  • Joint Estimation Method of State of Charge and State of Health of Li-ion Batteries

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The present invention will be described in further detail below in conjunction with accompanying drawing:

[0063] figure 1 Flowchart for the joint estimation method of SOC and SOH for lithium-ion batteries.

[0064] For newly manufactured lithium-ion batteries, measure the initial rated capacity of the battery under standard test conditions. During the use of the battery, the working state of the battery is divided into a storage mode and a circulation mode according to whether there is current flowing through the battery.

[0065] The extended Kalman algorithm is used to estimate the SOC and SOH values ​​of the battery under the cycle mode and multi-scale framework. On the micro scale, the SOC value of the battery is estimated; on the macro scale, the capacity of the battery is estimated, and then the SOH value of the battery is estimated according to formula (1). In this way, the calculation amount is reduced while ensuring the estimation accuracy.

[0066] The S...

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 method for jointly estimating the state of charge and the state of health of a lithium-ion battery. The specific method is as follows: the first step is to conduct a constant-current charge-discharge experiment at 1 / 3C at 25°C for a newly-delivered lithium-ion battery, and obtain The initial rated capacity C0 of the battery; the second step, at each sampling time, according to the size of the sampling current i, determine whether the battery is in the charging and discharging state; the third step, cycle mode; the fourth step, storage mode; fifth Step 1. Determine whether the SOH of the battery is less than 80%. If yes, it means that the battery has been scrapped and the cycle is over. Otherwise, it means that the battery is in a healthy state, and return to the second step. Beneficial effects: the present invention proposes a method for jointly estimating battery SOC and SOH under a multi-scale framework. This method also considers the SOH change of the lithium-ion battery during storage and recycling, reduces the calculation amount of the SOC and SOH estimation algorithm, and improves the estimation accuracy.

Description

technical field [0001] The invention relates to a method for jointly estimating the state of charge and the state of health of a battery, in particular to a method for jointly estimating the state of charge and the state of health of a lithium-ion battery. Background technique [0002] At present, as the main energy source of pure electric vehicles, the performance of lithium-ion power batteries has a very important impact on the power, cruising range and economy of electric vehicles. The battery management system is the core component of electric vehicles, mainly including functions such as data acquisition, status monitoring, health management, safety management and balance management. The main states monitored by the battery management system include State of Charge (SOC) and State of Health (SOH). The monitoring of battery status can provide a basis for the research of electric vehicle safety management strategy, health management strategy, balance strategy, driving str...

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): G01R31/36G06F19/00
Inventor 马彦李炳思茹敬佩周秀文陈虹赵海艳王留
Owner JILIN UNIV