CN108051756A - Evaluation method, system and the storage medium of accumulator SOC - Google Patents

Evaluation method, system and the storage medium of accumulator SOC Download PDF

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Publication number
CN108051756A
CN108051756A CN201711341790.XA CN201711341790A CN108051756A CN 108051756 A CN108051756 A CN 108051756A CN 201711341790 A CN201711341790 A CN 201711341790A CN 108051756 A CN108051756 A CN 108051756A
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China
Prior art keywords
soc
appraising
estimation
evaluation
auxiliary
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CN201711341790.XA
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Chinese (zh)
Inventor
王吉桥
丁带劲
谢飞
余楚伟
郑斌
刘锡斌
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Hunan Ming Bridge Mdt Infotech Ltd
Zhuzhou Guangzhou Rui Electric Technology Co Ltd
Original Assignee
Hunan Ming Bridge Mdt Infotech Ltd
Zhuzhou Guangzhou Rui Electric Technology Co Ltd
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Application filed by Hunan Ming Bridge Mdt Infotech Ltd, Zhuzhou Guangzhou Rui Electric Technology Co Ltd filed Critical Hunan Ming Bridge Mdt Infotech Ltd
Priority to CN201711341790.XA priority Critical patent/CN108051756A/en
Publication of CN108051756A publication Critical patent/CN108051756A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables

Abstract

The present invention relates to battery technology fields, a kind of evaluation method, system and the storage medium of accumulator SOC are disclosed, to improve estimation precision.The method of the present invention includes:Estimate interval division for low side steep area, intermediate meadow and high-end steep area SOC according to SOC OCV curves;By stages determines the appraising model in each estimation section, and the appraising model in each section includes a master cast and at least one auxiliary model, and the weight coefficient that corresponding master cast and auxiliary model add up is determined by analytic hierarchy process (AHP);It obtains real-time sampled data and carries out estimating for SOC sections, then dispatch the appraising model combination associated sample data corresponding to the section and carry out the estimation processing that becomes more meticulous.Thereby, on the one hand, by stages of the present invention carries out SOC estimations, improves the fine granularity of estimation;On the other hand, in each estimation section, appraising model is determined using analytic hierarchy process (AHP), the limitation for compensating for single evaluation method while further improves the precision of estimation.

Description

Evaluation method, system and the storage medium of accumulator SOC
Technical field
The present invention relates to a kind of battery technology field more particularly to evaluation method of accumulator SOC, system and storages to be situated between Matter.
Background technology
With the development of science and technology, battery has become indispensable power source, it is widely used for media product, movement In the electronic products such as phone, laptop and electric vehicle.In general, in order to easy-to-use, cell apparatus usually has Battery capacity detection function is to provide the information such as its residual capacity and remaining usage time to user.
The state-of-charge (State of Charge, SOC) of accumulator is used to describe the residual capacity of accumulator, compares at present Relatively unified is to define SOC from electricity angle, is defined as battery under certain discharge-rate, under residual capacity and the same terms The ratio of rated capacity.Accurate SOC can effectively learn the use state of accumulator, the charge status of management of battery, Make it balanced and prevention overcharges, crosses and put, improve the service life of accumulator.It can also be compared with for accumulator SOC used for electric vehicle Accurately reflection continual mileage, reminds when driver charges or replace battery.
The content of the invention
Present invention aims at a kind of evaluation method, system and the storage medium of accumulator SOC is disclosed, to improve estimation essence Degree.
To achieve the above object, the invention discloses a kind of evaluation method of accumulator SOC, including:
SOC is estimated that interval division is low side according to SOC-OCV (Open Circuit Voltage, open-circuit voltage) curves Steep area, intermediate meadow and high-end steep area;
By stages determines the appraising model in each estimation section, and the appraising model in each section includes a master cast and at least one The weight coefficient that a auxiliary model, corresponding master cast and auxiliary model add up is determined by analytic hierarchy process (AHP);
It obtains real-time sampled data and carries out estimating for SOC sections, then dispatch the appraising model knot corresponding to the section It closes associated sample data and carries out the estimation processing that becomes more meticulous.
Optionally, the master cast used in any of the above-described appraising model and auxiliary model be based on following SOC estimation methods extremely Few more than two combinations:
Current integrating method, open circuit voltage method, impedance method, zero load method, Kalman filtering method and
Appraising model of on-line identification battery SOC based on artificial intelligence, fuzzy control or neutral net etc..
It is corresponding with the above method, invention additionally discloses a kind of estimating system of accumulator SOC, including memory, place The computer program managed device and storage on a memory and can run on a processor, wherein, which performs the meter The step of above method is realized during calculation machine program.On the other hand, invention additionally discloses a kind of computer readable storage medium, thereon Computer program is stored with, the step in the above method is realized when which is executed by processor.
The invention has the advantages that:
On the one hand, by stages carries out SOC estimations, improves the fine granularity of estimation;On the other hand, in each estimation section, adopt Appraising model is determined with analytic hierarchy process (AHP), and the limitation for compensating for single evaluation method while further improves the essence of estimation Degree.
The present invention is described in further detail below.
Specific embodiment
The embodiment of the present invention is described in detail below, but what the present invention can be defined by the claims and cover Multitude of different ways is implemented.
Embodiment 1
The present embodiment discloses a kind of evaluation method of accumulator SOC first, including:
Step S1, it is low side steep area by SOC estimation interval divisions according to SOC-OCV curves, intermediate meadow and high-end Steep area.
In this step, the principle for estimating interval division is to be based on:The low side of usual SOC-OCV curves and high-end all compare It is precipitous, and the center section of curve is more gentle.
Step S2, by stages determines the appraising model in each estimation section, and the appraising model in each section includes a master cast With at least one auxiliary model, the weight coefficient that corresponding master cast and auxiliary model add up is determined by analytic hierarchy process (AHP).
Step S3, obtain real-time sampled data and carry out estimating for SOC sections, then dispatch the estimation corresponding to the section Models coupling associated sample data carries out the estimation processing that becomes more meticulous.
Optionally, the master cast used in any of the above-described appraising model and auxiliary model be based on following SOC estimation methods extremely Few more than two combinations:
Current integrating method, open circuit voltage method, impedance method, zero load method, Kalman filtering method and
Appraising model of on-line identification battery SOC based on artificial intelligence, fuzzy control or neutral net etc..
Similarly, the method for estimating SOC sections in above-mentioned steps S3 can also be derived from any one in the above method.
Above-mentioned SOC estimation method is the basic skills of measurement SOC well-known to those skilled in the art.Such as:Electric current accumulates Point-score is also known as coulomb counting or AH measurement Laws;It has a disadvantage in that:It is required that SOC initial values, it is necessary to accurately calculate charge efficiency and Discharging efficiency;It needs to carry out charge and discharge to battery pack with constant current, in practical applications, due to the shadow of the factors such as temperature, electric current It rings, the charge efficiency and discharging efficiency of battery are non-constant so that there are larger to calculate SOC for single pass integrating electric integration Cumulative errors.In another example:Zero load method is on the basis of open circuit voltage method, by establishing battery model and measuring open circuit electricity Pressure in battery charge and discharge process, measures battery terminal voltage and electric current, open-circuit voltage is calculated, so as to obtain SOC;Its shortcoming exists In:Need to establish battery model exactly, and calculate each impedance parameter in battery model, but these parameters by temperature, electric current, The influence of the non-linear factors such as charging and discharging state, it is difficult to calculate accurately, and the minor variations of these parameters can make the calculating of OCV Into larger error, so as to influence the estimation precision of SOC.Thereby, the present embodiment is in each estimation section, based on master cast, with Auxiliary model is modified, and the weight coefficient of appraising model is determined using analytic hierarchy process (AHP), compensates for the office of single evaluation method The precision of estimation is further improved while sex-limited.
Corresponding with the above method, a kind of estimating system of accumulator SOC is also disclosed in the present embodiment, including memory, Processor and storage on a memory and the computer program that can run on a processor, wherein, described in processor execution The step of above method is realized during computer program.On the other hand, a kind of computer readable storage medium is also disclosed in the present embodiment, Computer program is stored thereon with, the step in the above method is realized when which is executed by processor.
To sum up, the evaluation method of accumulator SOC, system and storage medium disclosed in the present embodiment have below beneficial to effect Fruit:
On the one hand, by stages carries out SOC estimations, improves the fine granularity of estimation;On the other hand, in each estimation section, adopt Appraising model is determined with analytic hierarchy process (AHP), and the limitation for compensating for single evaluation method while further improves the essence of estimation Degree.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.Within the spirit and principles of the invention, that is made any repaiies Change, equivalent substitution, improvement etc., should all be included in the protection scope of the present invention.

Claims (4)

1. a kind of evaluation method of accumulator SOC, which is characterized in that including:
Estimate interval division for low side steep area, intermediate meadow and high-end steep area SOC according to SOC-OCV curves;
By stages determines the appraising model in each estimation section, and the appraising model in each section includes a master cast and at least one auxiliary The weight coefficient that model, corresponding master cast and auxiliary model add up is determined by analytic hierarchy process (AHP);
It obtains real-time sampled data and carries out estimating for SOC sections, then dispatch the appraising model combination phase corresponding to the section It closes sampled data and carries out the estimation processing that becomes more meticulous.
2. the evaluation method of accumulator SOC according to claim 1, which is characterized in that the master used in any appraising model Model and auxiliary model are at least two combination based on following SOC estimation methods:
Current integrating method, open circuit voltage method, impedance method, zero load method, Kalman filtering method and
The appraising model of on-line identification battery SOC based on artificial intelligence, fuzzy control or neutral net.
3. a kind of estimating system of accumulator SOC, including memory, processor and storage on a memory and can be in processor The computer program of upper operation, which is characterized in that the processor realizes the claims when performing the computer program 1 or the step of 2 the method.
4. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that described program is by processor The step in 1 or 2 the method for the claims is realized during execution.
CN201711341790.XA 2017-12-14 2017-12-14 Evaluation method, system and the storage medium of accumulator SOC Pending CN108051756A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109164398A (en) * 2018-08-03 2019-01-08 北京交通大学 Cell capacity evaluation method in a kind of Li-ion batteries piles
CN109782178A (en) * 2019-01-29 2019-05-21 中国铁塔股份有限公司 A kind of battery core Rong Fangfa and core capacitance device
CN110579714A (en) * 2019-07-26 2019-12-17 西安科技大学 Battery SOC (state of charge) two-state switching estimation method based on BAS (base-based optimization) ElmanNN-AH method
CN111816936A (en) * 2020-06-28 2020-10-23 珠海中力新能源科技有限公司 Battery echelon utilization grouping method and system, terminal equipment and storage medium
CN111856178A (en) * 2020-03-31 2020-10-30 同济大学 SOC partition estimation method based on electrochemical characteristics of lithium ion capacitor

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CN101814639A (en) * 2010-05-06 2010-08-25 惠州市亿能电子有限公司 Charging method of power lithium ion battery by controlling polarizing voltage
CN104678316A (en) * 2015-02-28 2015-06-03 北京交通大学 Method and device for estimating charge state of lithium ion battery
CN105093114A (en) * 2015-03-02 2015-11-25 北京交通大学 Battery online modeling and state of charge combined estimating method and system
JP6075242B2 (en) * 2013-08-19 2017-02-08 株式会社Gsユアサ Charge state reliability determination device and charge state reliability determination method

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Publication number Priority date Publication date Assignee Title
CN101813754A (en) * 2010-04-19 2010-08-25 清华大学 State estimating method for automobile start illumination type lead-acid storage battery
CN101814639A (en) * 2010-05-06 2010-08-25 惠州市亿能电子有限公司 Charging method of power lithium ion battery by controlling polarizing voltage
JP6075242B2 (en) * 2013-08-19 2017-02-08 株式会社Gsユアサ Charge state reliability determination device and charge state reliability determination method
CN104678316A (en) * 2015-02-28 2015-06-03 北京交通大学 Method and device for estimating charge state of lithium ion battery
CN105093114A (en) * 2015-03-02 2015-11-25 北京交通大学 Battery online modeling and state of charge combined estimating method and system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109164398A (en) * 2018-08-03 2019-01-08 北京交通大学 Cell capacity evaluation method in a kind of Li-ion batteries piles
CN109164398B (en) * 2018-08-03 2019-10-11 北京交通大学 Cell capacity evaluation method in a kind of Li-ion batteries piles
CN109782178A (en) * 2019-01-29 2019-05-21 中国铁塔股份有限公司 A kind of battery core Rong Fangfa and core capacitance device
CN110579714A (en) * 2019-07-26 2019-12-17 西安科技大学 Battery SOC (state of charge) two-state switching estimation method based on BAS (base-based optimization) ElmanNN-AH method
CN111856178A (en) * 2020-03-31 2020-10-30 同济大学 SOC partition estimation method based on electrochemical characteristics of lithium ion capacitor
CN111816936A (en) * 2020-06-28 2020-10-23 珠海中力新能源科技有限公司 Battery echelon utilization grouping method and system, terminal equipment and storage medium

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