CN203337803U - Lithium-ion battery life prediction module - Google Patents

Lithium-ion battery life prediction module Download PDF

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Publication number
CN203337803U
CN203337803U CN2013204047173U CN201320404717U CN203337803U CN 203337803 U CN203337803 U CN 203337803U CN 2013204047173 U CN2013204047173 U CN 2013204047173U CN 201320404717 U CN201320404717 U CN 201320404717U CN 203337803 U CN203337803 U CN 203337803U
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CN
China
Prior art keywords
circuit
voltage
ion battery
life prediction
current output
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Expired - Fee Related
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CN2013204047173U
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Chinese (zh)
Inventor
肖燕
张长水
郭振
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BEIJING JIECHENG JUYUANTONG SCIENCE & TECHNOLOGY Co Ltd
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BEIJING JIECHENG JUYUANTONG SCIENCE & TECHNOLOGY Co Ltd
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Priority to CN2013204047173U priority Critical patent/CN203337803U/en
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Abstract

The utility model relates to a lithium-ion battery life prediction module. The lithium-ion battery life prediction module comprises a CPU control unit, an AC/DC conversion voltage-reduction circuit, a display, a constant-current output circuit and a voltage-stabilization power supply circuit; the constant-current output circuit and the voltage-stabilization power supply circuit are connected with output ends of the AC/DC conversion voltage-reduction circuit; the constant-current output circuit is a BUCK topology circuit; the constant-current output circuit is connected with the CPU control unit, and composed of a PWM controller, a feedback adjusting circuit and a conversion circuit; and the display and an output end of the voltage-stabilization power supply circuit are connected with the CPU control unit. The lithium-ion battery life prediction module has the advantages of small size, low cost, parameter measuring convenience, high detection accuracy and the like; and life prediction problems of various types and specifications of single lithium ion batteries in the cases of different environmental temperature and different discharge history are solved.

Description

Lithium ion battery life prediction module
Technical field
The utility model relates to electronic technology field, is specially a kind of circuit module in prediction lithium ion battery life-span.
Background technology
Existing lithium ion battery forecasting technique in life span, a class is that lithium ion battery is regarded as to the "black box" structure, by the study to input/output argument, provides the model of life estimation.There is the shortcoming that learning time is long, application is single, operand is large in such technology, promotes the use of limited.Another kind of is that lithium ion battery is set up to physical model, by the identification to model parameter, realizes the prediction to the life-span.The input parameter of this class technology is comparatively complicated, is difficult for actual the measurement, and the detected value of battery life be take to qualitative measurement as main, and degree of accuracy is limited.
The utility model content
In view of this, the purpose of this utility model is for deficiency of the prior art, the lithium ion battery life prediction that a kind of cost is low, parameter measurement is convenient, accuracy of detection is higher module is provided, solution is in the situation that varying environment temperature, different electric discharge are historical, the monomer lithium ion battery life prediction problem of Multiple Type specification.
For completing above-mentioned purpose, the technical solution adopted in the utility model is: lithium ion battery life prediction module, comprise CPU control module, friendship/directly convert reduction voltage circuit, display and with the constant current output circuit, the voltage-stabilized power supply circuit that hand over/directly convert the reduction voltage circuit output terminal and be connected; Described constant current output circuit adopts the BUCK topology; Described constant current output circuit is comprised of PWM controller, feedback regulating circuit, translation circuit, with the CPU control module, is connected, and described display and voltage-stabilized power supply circuit output terminal are connected with the CPU control module.
Voltage, electric current and temporal information when the utility model passes through to gather lithium ion cell charging, the application intelligent algorithm, can detect battery actual capacity value, i.e. the life-span accurately; Have that volume is little, cost is low, parameter measurement is convenient, accuracy of detection, than advantages of higher, has application value widely.Can be applicable to electronic message unit and new energy motor field, can accelerate the practicalization of battery management system, further improve lithium ion battery information detection means, and provide battery status estimated result accurately and effectively for the user, avoid battery management out of control, economize on resources.
The accompanying drawing explanation
Below in conjunction with accompanying drawing, the utility model is further illustrated.
Fig. 1 is circuit theory diagrams of the present utility model;
In figure: 1, CPU control module, 2, hand over/directly convert reduction voltage circuit, 3, voltage-stabilized power supply circuit, 4, constant current output circuit, 5, display.
Embodiment
Lithium ion battery life prediction module as shown in Figure 1, comprise CPU control module 1, hand over/directly convert reduction voltage circuit 2, display 5 and with the constant current output circuit 4, the voltage-stabilized power supply circuit 3 that hand over/directly convert reduction voltage circuit 2 output terminals and be connected; Described constant current output circuit 4 adopts the BUCK topology; Described constant current output circuit 4 is comprised of PWM controller, feedback regulating circuit, translation circuit, with CPU control module 1, is connected respectively, and described display 5 and voltage-stabilized power supply circuit 3 output terminals are connected with CPU control module 1.
It detects principle and comprises the following steps:
(1) parameter acquisition and input
By detecting voltage, electric current and the time simulation signal of lithium ion battery in constant-current charge (CC) situation, be converted to digital signal by A/D, input to central processing unit DSP, signal accuracy is per mille.In this process, the highest 4.2V that is set to of charging voltage, charging current is traditionally arranged to be 1.0C, and the signal sampling time is traditionally arranged to be 1min, but when voltage has larger variation, the sampling time can suitably shorten.
(2) lithium ion battery Life Prediction Model
Utilize the ECM model, derive the mathematic(al) representation of same size battery under different service life states as follows:
U ′ ( t ′ ) = U ( t ) + ( U Rp + IR p ) e - 1 τ t - ( U Rp ′ + IR p ′ ) e - 1 τ ′ t ′ + I ( R p ′ + R Ω ′ ) - I ( R p + R Ω )
In formula, U ' (t ') means charging voltage-function of time that service life state to be detected is corresponding; U (t) means charging voltage-function of time that new battery is corresponding; U rp, U ' rp, R p, R ' p, R Ω, R ' Ω, τ, τ ' be model parameter.
(3) lithium ion battery reference capacity curve is determined
To the lithium ion battery of certain model, at first gather its charging voltage, time data under rated capacity (new battery) state, utilize non-linear young waiter in a wineshop or an inn's preconceived plan method, return out the charging curve functional form U (t) that can characterize these data.In this process, regression error should be arranged on more than 99%.
(4) when capacity attenuation is to a certain value, the charging curve of battery is determined
When battery during in the different capabilities state, gather the charging voltage of this battery under this capacity status, time data group (U ', t '), utilize the formula in above-mentioned steps (2), adopt non-linear young waiter in a wineshop or an inn's preconceived plan method, pick out model parameter.
(5) life estimation and output
The lithium ion battery life-span is meaned with SOH, i.e. SOH=c ' u/ c u, in formula, c umean reference capacity, c ' umean the decay capacity.SOH is the array configuration of model parameter.
After the SOH value calculates, at the detection module display, shown.
Above embodiment is only for the utility model is described, but not, for limiting the utility model, the equivalent variations that those skilled in the art carry out above-described embodiment, replacement are all within the claim protection domain.

Claims (1)

1. lithium ion battery life prediction module is characterized in that: comprise CPU control module, friendship/directly convert reduction voltage circuit, display and with the constant current output circuit, the voltage-stabilized power supply circuit that hand over/directly convert the reduction voltage circuit output terminal and be connected; Described constant current output circuit adopts the BUCK topology; Described constant current output circuit is comprised of PWM controller, feedback regulating circuit, translation circuit, with the CPU control module, is connected, and described display and voltage-stabilized power supply circuit output terminal are connected with the CPU control module.
CN2013204047173U 2013-07-09 2013-07-09 Lithium-ion battery life prediction module Expired - Fee Related CN203337803U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2013204047173U CN203337803U (en) 2013-07-09 2013-07-09 Lithium-ion battery life prediction module

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2013204047173U CN203337803U (en) 2013-07-09 2013-07-09 Lithium-ion battery life prediction module

Publications (1)

Publication Number Publication Date
CN203337803U true CN203337803U (en) 2013-12-11

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN2013204047173U Expired - Fee Related CN203337803U (en) 2013-07-09 2013-07-09 Lithium-ion battery life prediction module

Country Status (1)

Country Link
CN (1) CN203337803U (en)

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GR01 Patent grant
C14 Grant of patent or utility model
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20131211

Termination date: 20180709

CF01 Termination of patent right due to non-payment of annual fee