Method for predicting internal temperature of battery in real time

A real-time prediction and internal temperature technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of not being able to reflect the working temperature of the battery, and achieve good stability

Active Publication Date: 2015-03-25
HARBIN INST OF TECH
View PDF3 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the actual problem that the internal temperature of the battery cannot be monitored in real time when the battery temperature is monitored. The present invention provides a real-time prediction method for the internal temperature of the battery to solve the pr

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
  • Method for predicting internal temperature of battery in real time
  • Method for predicting internal temperature of battery in real time
  • Method for predicting internal temperature of battery in real time

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0042] Specific implementation mode 1, the implementation process of the method for real-time prediction of battery internal temperature in this implementation mode is as follows:

[0043] Step 1. Establish a battery heat balance model according to the heat balance of the battery core-shell and the heat balance of the battery shell-outside:

[0044] Battery core-case battery thermal balance: C c dT c , t dt = ( V t - OCV ) I t + T s , t - T c , t ...

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 a method for predicting the internal temperature of a battery in real time, and relates to the real-time prediction methods for the battery. The problem that the actual internal working temperature of the battery can not be embodied by battery surface temperature monitoring is solved. According to the method, the battery is divided into an inner core and an outer shell, temperature prediction models are established respectively, the specific heat capacity of the internal material and the surface material of the battery, the thermal-resistance parameter of the inner core-outer shell of the battery, the thermal-resistance parameter of the outer shell-the outside of the battery, the open-circuit voltage curve of the battery, the curve of the open-circuit voltage variation with temperature and the like are acquired by an experiment method. A Kalman filtering method is used for tracking and correcting the internal temperature of the battery in real time, real-time battery surface and environment temperatures are input into the predication models, and the internal temperature of the battery is predicted in real time. The method is suitable for predicting the internal temperature of the battery in an electrical automobile and an energy storage system.

Description

technical field [0001] The invention relates to a method for real-time prediction of battery internal temperature by using battery surface and ambient temperature. Background technique [0002] A complex electrochemical reaction occurs inside the power battery during charging and discharging, and due to the existence of entropy change and internal resistance, heat is generated during use. Battery performance such as capacity, lifespan, and internal resistance are easily affected by the core temperature of the battery, which is also the most direct manifestation of thermal runaway and internal faults. However, the currently applied battery temperature monitoring system can only monitor the surface temperature of the battery, and it is generally impossible to embed sensors inside the battery to monitor the internal temperature of the battery. This method will also bring potential safety hazards. However, there is a lag in the transfer of heat from the battery core to the batt...

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): G06F19/00
Inventor 朱春波孙金磊胡宸杨鹏魏国宋凯逯仁贵
Owner HARBIN INST 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