CN102520365B - Fast battery remaining capacity estimation system and method thereof - Google Patents
Fast battery remaining capacity estimation system and method thereof Download PDFInfo
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- CN102520365B CN102520365B CN201110440860.3A CN201110440860A CN102520365B CN 102520365 B CN102520365 B CN 102520365B CN 201110440860 A CN201110440860 A CN 201110440860A CN 102520365 B CN102520365 B CN 102520365B
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Abstract
The invention discloses a kind of fast battery remaining capacity estimation system, comprising: battery charging and discharging control module; Battery testing model bank; Voltage characteristic extraction module; Current characteristic extraction module; Dump energy analysis module; And battery dump energy stores display module.A kind of fast battery remaining capacity estimation system of the present invention and method thereof estimate its dump energy by carrying out the test of corresponding fast charging and discharging to battery, its structure is simple, accuracy is high, in real time for user provides battery dump energy information, can be convenient to the management that battery uses.
Description
Technical field
The present invention relates to a kind of technical field of battery, particularly relate to a kind of fast battery remaining capacity estimation system and method thereof.
Background technology
Along with the fast development of various electric energy energy storage device, start to be subject to the people's attention to the estimation of battery dump energy.Only have and battery dump energy is estimated accurately, user could be allowed to understand remaining battery service time in time, thus eliminate in battery use procedure the misgivings of electric energy deficiency.
Especially, current countries in the world are all at concern environmental protection and energy crisis two problems.Relative to traditional fuel-engined vehicle, electric automobile can realize zero-emission.Therefore, electric automobile will become future automobile industrial expansion direction.In electric automobile, battery is directly as Power supply parts, and the quality of its duty is directly connected to the driving safety of whole automobile.Therefore, whole process is needed to estimate accurately battery dump energy.Particularly, before battery product dispatches from the factory, battery dump energy is estimated, the quality that battery dispatches from the factory can be ensured; In battery use procedure, battery dump energy is estimated, energy information accurately can be grasped in time, predict the follow-up spendable time and charge in time; At battery performance along with routine use gradually in degenerative process, remaining battery life can be predicted to the accurate estimation of battery dump energy, carry out in advance and more renew battery, reclaim the plan of used batteries, thus reduce unnecessary charging energy consumption, avoid the burst failure conditions such as leakage, improve the safety and reliability that battery uses.Therefore, the carrying out of battery dump energy is estimated to have very important using value and realistic meaning fast and accurately.
Estimation method of battery dump energy of the prior art comprises open-circuit voltage method, ampere-hour method, coulomb counting and impedance method etc.But when open-circuit voltage method estimates battery dump energy, battery must leave standstill the long period to reach steady state (SS), therefore be only applicable to the battery dump energy estimation of electric automobile under dead ship condition.And ampere-hour rule is easily subject to the impact of current measurement precision, when high temperature or current fluctuation violent, battery dump energy estimate precision very poor, the demand of practical application can not be met.
Summary of the invention
Because the above-mentioned defect of prior art, technical matters to be solved by this invention is to provide a kind of fast battery remaining capacity estimation system and method thereof, the dump energy of battery is estimated according to correlation parameter battery being carried out to fast charging and discharging and test the battery obtained, its speed is fast, and accuracy is high.
For achieving the above object, the invention provides a kind of fast battery remaining capacity estimation system, comprising:
Battery charging and discharging control module, it is connected with battery, and obtains battery size and historical information from described battery;
Battery testing model bank, it is connected with described battery charging and discharging control module, extracts for it the rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that mate with described battery size and historical information;
Voltage characteristic extraction module, it is connected with described battery charging and discharging control module, and calculates the voltage characteristic of described battery;
Current characteristic extraction module, it is connected with described battery charging and discharging control module, and calculates the current characteristic of described battery;
Dump energy analysis module, it is connected with current charge-discharge electric control module with described voltage characteristic extraction module, current characteristic extraction module, and according to described voltage characteristic and current characteristic, calculates the dump energy of described battery;
And battery dump energy stores display module, it is connected with battery testing model bank with described dump energy analysis module, for storing and show the dump energy information of described battery.
Above-mentioned fast battery remaining capacity estimation system, wherein, the rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that match with described battery size and historical information is included in described battery testing model bank.
Above-mentioned fast battery remaining capacity estimation system, wherein, described battery is dry cell, accumulator, fuel cell or electrokinetic cell.
Above-mentioned fast battery remaining capacity estimation system, wherein, described battery dump energy stores display module and comprises liquid crystal display.
In addition, the present invention also provides a kind of fast battery method for estimating remaining capacity, comprises the steps:
Extract battery size and the historical information of battery;
According to battery size and the historical information of described battery, extract and described battery size and historical information corresponding rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model in battery testing model bank;
According to described rapid charge discharge test sequence, fast charging and discharging test is carried out to described battery;
In described fast charging and discharging test process, gather the voltage of described battery, current information;
The dump energy of described battery is estimated according to the voltage of described battery, current information;
Show and store the dump energy information of described battery.
Above-mentioned fast battery method for estimating remaining capacity, wherein, also comprises battery testing model bank according to described battery dump energy information updating.
Above-mentioned fast battery method for estimating remaining capacity, wherein, fast charging and discharging test obtains by carrying out Sample Cell for voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model in described battery testing model bank.
Further, above-mentioned fast battery method for estimating remaining capacity, wherein, described fast charging and discharging test is carried out at the arbitrary node place of battery dump energy.
Above-mentioned fast battery method for estimating remaining capacity, wherein, described battery is dry cell, accumulator, fuel cell or electrokinetic cell.
Therefore, a kind of fast battery remaining capacity estimation system of the present invention and method thereof estimate its dump energy by carrying out the test of corresponding fast charging and discharging to battery, and its structure is simple, and accuracy is high, in real time for user provides battery dump energy information, the management that battery uses can be convenient to.
Accompanying drawing explanation
Fig. 1 is the structural representation of fast battery remaining capacity estimation system of the present invention.
Embodiment
Be described further below with reference to the technique effect of accompanying drawing to design of the present invention, concrete structure and generation, to understand object of the present invention, characteristic sum effect fully.
As shown in Figure 1, fast battery remaining capacity estimation system of the present invention comprises battery charging and discharging control module 102, battery testing model bank 104, voltage characteristic extraction module 105, current characteristic extraction module 106, dump energy analysis module 107 and battery dump energy storage display module 108.Wherein, battery charging and discharging control module is connected with battery 101, battery testing model bank 104, voltage characteristic extraction module 105, current characteristic extraction module 106 and dump energy analysis module 107 are all connected with battery charging and discharging control module 102, dump energy analysis module 107 is connected with current characteristic extraction module 106 with voltage characteristic extraction module 105 again, and battery dump energy stores display module 108 and is connected with battery testing model bank 104 with dump energy analysis module 107.
Battery testing model bank 104 is databases, wherein includes the rapid charge discharge test sequence 103, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that match with the battery size of battery and historical information.
Introduce fast battery method for estimating remaining capacity of the present invention below in detail.
First, battery 101 is connected with battery charging and discharging control module 102, is extracted battery size and the historical information of battery by battery charging and discharging control module 102, and be transferred to battery testing model bank 104; According to the battery size obtained and historical information, battery charging and discharging control module 102 extracts the rapid charge discharge test sequence 103, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that match with it in battery testing model bank 104; Rapid charge discharge test sequence 103 is sent to after in battery charging and discharging control module 102 by battery testing module storehouse 104, and battery charging and discharging control module 102 carries out fast charging and discharging test according to rapid charge discharge test sequence 103 pairs of batteries 101; Battery charging and discharging control module 102 gathers electric current and the information of voltage of battery 101 in fast charging and discharging process, and is transferred to voltage characteristic extraction module 105 and current characteristic extraction module 106; Voltage characteristic extraction module 105 and current characteristic extraction module 106 calculate voltage characteristic and the current characteristic of battery respectively, and are transferred to dump energy analysis module 107; Dump energy analysis module 107 utilizes the voltage characteristic of above-mentioned battery and current characteristic to obtain the dump energy of battery 101 by Algorithm Analysis; Being stored by the dump energy of battery 101 and being shown in battery dump energy stores in display module 108; By the battery dump energy information that obtains simultaneously stored in battery testing model bank 104, so that lower primary cell charging or upgrade battery testing model bank 104 when detecting, make battery testing model bank 104 more accurate.
Wherein, voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model in battery testing model bank 104 obtain by carrying out fast charging and discharging test to Sample Cell in advance.In above-mentioned fast charging and discharging test, a fast charging and discharging test can be carried out at arbitrary dump energy Nodes.Such as, the node often increasing or reduce 10% with dump energy carries out fast charging and discharging test, and the test interval of dump energy also can get 5%, 1% etc.Dump energy test interval obtains thinner, and gained model parameter generally can be more accurate, but the time needed for computation model parameter spends also larger.In addition, each correlation parameter obtained when estimating battery dump energy also can be stored in battery testing model bank 104, so that the data in real-time update and adjustment battery testing model bank 104, makes the estimation of battery dump energy more accurate.
Fast battery remaining capacity estimation system of the present invention and method thereof can be applicable to dry cell, also can be applicable to accumulator, electrokinetic cell, or the multiple battery such as fuel cell.
In a preferred embodiment of the invention, battery dump energy stores display module 108 and comprises a liquid crystal display, also can be the display device on smart mobile phone, digital meter panel etc., for clearly showing the current dump energy of battery, being convenient to user and according to circumstances formulating relevant battery use strategy.
By adopting fast battery method for estimating remaining capacity of the present invention, the target obtaining battery dump energy in 1 minute can be realized, and the error precision between estimated value and actual value is less than 15%.
More than describe preferred embodiment of the present invention in detail.Should be appreciated that the ordinary skill of this area just design according to the present invention can make many modifications and variations without the need to creative work.Therefore, all technician in the art, all should by the determined protection domain of claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (7)
1. a fast battery remaining capacity estimation system, is characterized in that, comprising:
Battery charging and discharging control module, it is connected with battery, and obtains battery size and historical information from described battery;
Battery testing model bank, it is connected with described battery charging and discharging control module, to extract the rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that mate with described battery size and historical information;
Voltage characteristic extraction module, it is connected with described battery charging and discharging control module, and calculates the voltage characteristic of described battery;
Current characteristic extraction module, it is connected with described battery charging and discharging control module, and calculates the current characteristic of described battery;
Dump energy analysis module, it is connected with current charge-discharge electric control module with described voltage characteristic extraction module, current characteristic extraction module, and according to described voltage characteristic and current characteristic, calculates the dump energy of described battery;
And battery dump energy stores display module, it is connected with battery testing model bank with described dump energy analysis module, for storing and show the dump energy information of described battery;
Described battery charging and discharging control module, according to described rapid charge discharge test sequence, carries out fast charging and discharging test to described battery, and described fast charging and discharging test is carried out at the arbitrary node place of battery dump energy;
Described battery testing model bank is database, described voltage characteristic extraction model parameter, described current characteristic extraction model parameter and described dump energy parameter of analytic model, be obtain by carrying out fast charging and discharging test to Sample Cell in advance, described fast charging and discharging test is carried out with the test interval of the dump energy of setting.
2. fast battery remaining capacity estimation system as claimed in claim 1, it is characterized in that, in described battery testing model bank, include the rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that match with described battery size and historical information.
3. fast battery remaining capacity estimation system as claimed in claim 1, it is characterized in that, described battery is dry cell, accumulator, fuel cell or electrokinetic cell.
4. fast battery remaining capacity estimation system as claimed in claim 1, is characterized in that, described battery dump energy stores display module and comprises liquid crystal display.
5. a fast battery method for estimating remaining capacity, is characterized in that, comprises the steps:
Extract battery size and the historical information of battery;
According to battery size and the historical information of described battery, extract and described battery size and historical information corresponding rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model in battery testing model bank;
According to described rapid charge discharge test sequence, fast charging and discharging test is carried out to described battery;
In described fast charging and discharging test process, gather the voltage of described battery, current information;
The dump energy of described battery is estimated according to the voltage of described battery, current information;
Show and store the dump energy information of described battery;
Described battery is dry cell, accumulator, fuel cell or electrokinetic cell;
Described battery testing model bank is database, described voltage characteristic extraction model parameter, described current characteristic extraction model parameter and described dump energy parameter of analytic model, be obtain by carrying out fast charging and discharging test to Sample Cell in advance, described fast charging and discharging test is carried out with the test interval of the dump energy of setting.
6. fast battery method for estimating remaining capacity as claimed in claim 5, is characterized in that, also comprise battery testing model bank according to described battery dump energy information updating.
7. fast battery method for estimating remaining capacity as claimed in claim 5, it is characterized in that, fast charging and discharging test obtains by carrying out Sample Cell for voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model in described battery testing model bank.
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CN102868001B (en) * | 2012-09-20 | 2015-07-01 | 深圳市卓能新能源科技有限公司 | Lithium ion cell electric quantity displaying method and lithium ion cell electric quanity displaying device |
CN102944848B (en) * | 2012-11-21 | 2015-04-22 | 广东省自动化研究所 | Real-time evaluation method for remaining capacity of power batteries and device thereof |
CN103913706B (en) * | 2012-12-29 | 2016-12-28 | 北京谊安医疗系统股份有限公司 | The method of a kind of electric quantity of lithium battery detection and device thereof |
CN104301499B (en) * | 2013-07-15 | 2017-12-15 | 腾讯科技(深圳)有限公司 | Battery capacity of mobile terminal log analysis methodology, device, platform and mobile terminal |
CN103513188B (en) * | 2013-10-15 | 2016-02-10 | 清华大学 | The electricity computing method of battery cell in a kind of electric system energy storage station |
CN103901354B (en) * | 2014-04-23 | 2016-08-17 | 武汉市欧力普能源与自动化技术有限公司 | A kind of electric automobile vehicle-mounted electrokinetic cell SOC Forecasting Methodology |
CN104360281A (en) * | 2014-11-17 | 2015-02-18 | 惠州Tcl移动通信有限公司 | Mobile-terminal-based battery identification method and system and mobile terminal |
CN104393647B (en) * | 2014-11-28 | 2017-06-13 | 上海交通大学 | A kind of charging pile system for electric automobile |
CN107179506A (en) * | 2016-03-11 | 2017-09-19 | 北汽福田汽车股份有限公司 | A kind of method, device, system and vehicle for determining accumulator capacity |
TWI687701B (en) | 2018-12-05 | 2020-03-11 | 宏碁股份有限公司 | Method for determining state of charge and electronic device thereof |
CN110137544B (en) * | 2019-04-18 | 2021-12-24 | 上海交通大学 | Online detection system for reaction state of proton exchange membrane fuel cell stack and application thereof |
CN113673712B (en) * | 2021-10-25 | 2022-01-28 | 深圳达人高科电子有限公司 | Method and device for calculating residual electric quantity value, server and storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5672951A (en) * | 1994-11-04 | 1997-09-30 | Mitsubishi Denki Kabushiki Kaisha | Determination and control of battery state |
CN101312260A (en) * | 2007-05-23 | 2008-11-26 | 佳能株式会社 | Battery pack, charging device, control method thereof, electronic device and control method thereof |
CN102024999A (en) * | 2010-11-16 | 2011-04-20 | 上海交通大学 | Electric car running power management system |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3933919B2 (en) * | 2001-11-30 | 2007-06-20 | 富士重工業株式会社 | Battery storage amount estimation device |
US20100219836A1 (en) * | 2009-03-02 | 2010-09-02 | Sony Ericsson Mobile Communications Ab | Method and arrangement for determining energy source unit status |
-
2011
- 2011-12-23 CN CN201110440860.3A patent/CN102520365B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5672951A (en) * | 1994-11-04 | 1997-09-30 | Mitsubishi Denki Kabushiki Kaisha | Determination and control of battery state |
CN101312260A (en) * | 2007-05-23 | 2008-11-26 | 佳能株式会社 | Battery pack, charging device, control method thereof, electronic device and control method thereof |
CN102024999A (en) * | 2010-11-16 | 2011-04-20 | 上海交通大学 | Electric car running power management system |
Non-Patent Citations (3)
Title |
---|
A review on prognostics and health monitoring of Li-ion battery;Jingliang Zhang et al.;《Journal of Power Sources》;20110427;6007-6014 * |
Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis;Fengyu Cong et al.;《Cogn Neurodyn》;20110628;343-359 * |
锂电池电量的动态预测;刘霞等;《大庆石油学院院报》;20040430;第28卷(第2期);81-83 * |
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