Prediction method and prediction system of charging current of lithium battery, and charging device

A charging current and prediction method technology, applied in battery circuit devices, secondary battery charging/discharging, measuring devices, etc., can solve the problems of not considering the impact of battery temperature and battery life, long charging time, slow charging speed, etc.

Active Publication Date: 2018-03-23
HARBIN UNIV OF SCI & TECH
View PDF8 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing lithium battery charging method widely adopts the constant current and constant voltage charging method, which does not consider the influence of battery temperature and charging rate on battery life
If the charging current is small, the charging time will be long and the charging speed will be slow. If you want to increase the charging...

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
  • Prediction method and prediction system of charging current of lithium battery, and charging device
  • Prediction method and prediction system of charging current of lithium battery, and charging device
  • Prediction method and prediction system of charging current of lithium battery, and charging device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] like figure 1 Shown, a kind of prediction method of charging current of lithium battery comprises:

[0070] Step 11: Construct the charging objective function with the minimum battery capacity attenuation and the shortest charging time as the goals;

[0071] Step 12: Obtain the measured body temperature of the battery in the kth charging cycle and the measured ambient temperature of the service environment of the battery in the kth charging cycle;

[0072] Step 13: According to the measured body temperature and the measured ambient temperature, predict the predicted body temperature of the battery in each charging cycle between the k+1 charging cycle and the k+p charging cycle, where p represents model prediction The prediction step size of the control method;

[0073] Step 14: According to the charging objective function and each of the predicted main body temperatures, use a model predictive control method to predict the optimal charging current of the k+1th chargin...

Embodiment 2

[0100] Such as image 3 As shown, a prediction system 2 of a lithium battery charging current includes:

[0101] The objective function construction module 21 is used for constructing the charging objective function with the minimum attenuation of battery capacity and the shortest charging time as the goals;

[0102] A temperature acquisition module 22, configured to acquire the measured body temperature of the battery in the kth charging cycle and the measured ambient temperature of the service environment of the battery in the kth charging cycle;

[0103] The temperature prediction module 23 is configured to predict the predicted body temperature of the battery in each charging cycle between the k+1 charging cycle and the k+p charging cycle according to the measured body temperature and the measured ambient temperature, wherein, p represents the prediction step size of the model predictive control method;

[0104] The charging current prediction module 24 is configured to ...

Embodiment 3

[0122] like Figure 5 Shown, a kind of charging device, described charging device is connected with lithium battery, is used for charging described lithium battery 30, and described charging device comprises: first temperature sensor 31, second temperature sensor 32, charging controller 33, The charging machine 34 and the prediction system 2 described in Embodiment 2, wherein,

[0123] The first temperature sensor 31 is used to collect the measured ambient temperature of the service environment of the lithium battery 30;

[0124] The second temperature sensor 32 is connected to the lithium battery 30 for collecting the measured body temperature of the lithium battery 30;

[0125] The prediction system 2 is connected to the first temperature sensor 31 and the second temperature sensor 32 respectively, and is used to construct a charging objective function with the goal of the minimum battery capacity attenuation and the shortest charging time, and according to the kth charging...

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 prediction method and a prediction system of charging current of a lithium battery, and a charging device. The method comprises steps of by taking the minimization of decrement of battery capacity and shortest charging time as objectives, constructing a charging target function; acquiring the real measurement body temperature of a battery and the real measurement environment temperature of a battery service environment in the kth charging period; according to the real measurement body temperature and the real measurement environment temperature, predicting the prediction body temperature of each battery in each charging period between the k+1th charging period and the k+pth charging period, wherein p represents the prediction step lcength of a model prediction control method; and according to the charging target function and each prediction body temperature, using the model prediction control method to predict the optimal charging current in the k+1th chargingperiod where the charging target function is smallest. According to the invention, by charging the lithium battery by use of the predicted optimal charging current, the charging time can be shortened, the charging speed is increased, the decrement of the battery capacity can be reduced and the service lifetime of the battery is prolonged.

Description

technical field [0001] The invention relates to the technical field of battery charging, in particular to a prediction method, a prediction system and a charging device for lithium battery charging current. Background technique [0002] In the four seasons of the year, the ambient temperature changes significantly, and the ambient temperature varies greatly in different regions. The change of ambient temperature will cause the change of battery temperature, and the aging speed of battery is different at different temperatures. The existing lithium battery charging method widely adopts the constant current and constant voltage charging method, which does not consider the influence of battery temperature and charging rate on battery life. If the charging current is small, the charging time will be long and the charging speed will be slow. If you want to increase the charging speed, you need to increase the charging current. Large current charging will cause the polarization vo...

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): G01R31/36H02J7/00H01M10/44
CPCG01R31/387H01M10/443H02J7/0091Y02E60/10
Inventor 吴晓刚石文文杨光仪
Owner HARBIN UNIV OF SCI & 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