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CN102520365A - Quick estimating system of remaining battery power and method thereof - Google Patents

Quick estimating system of remaining battery power and method thereof Download PDF

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Publication number
CN102520365A
CN102520365A CN2011104408603A CN201110440860A CN102520365A CN 102520365 A CN102520365 A CN 102520365A CN 2011104408603 A CN2011104408603 A CN 2011104408603A CN 201110440860 A CN201110440860 A CN 201110440860A CN 102520365 A CN102520365 A CN 102520365A
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battery
dump energy
fast
characteristic extraction
remaining capacity
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CN102520365B (en
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李�杰
黄亦翔
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Shanghai Jiaotong University
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Shanghai Jiaotong University
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Abstract

The invention discloses a quick estimating system of remaining battery power, which comprises a battery charge-discharge control module, a battery test model base, a voltage characteristic extraction module, a current characteristic extraction module, a remaining power analyzing module and a battery remaining power storage displaying module. The quick estimating system of the remaining battery power and a method of the system estimate the remaining power by conducting corresponding charging and discharging on a battery and have the advantages of being simple in structure, high in accuracy and capable of providing information of battery remaining power for users in real time, thereby facilitating management of battery use.

Description

Fast battery remaining capacity estimation system and method thereof
Technical field
The present invention relates to a kind of technical field of battery, relate in particular 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 devices, the estimation of battery dump energy has been begun to receive people's attention.Have only battery dump energy is estimated accurately, could let the user in time understand remaining battery service time, thereby eliminate in the battery use the not enough misgivings of electric energy.
Especially, environmental protection and two problems of energy crisis are all being paid close attention in countries in the world at present.With respect to traditional fuel-engined vehicle, electric automobile can be realized zero-emission.Therefore, electric automobile will become following developing of automobile industry direction.In electric automobile, battery is directly as the energy supply part, and the quality of its duty is directly connected to the driving safety of whole automobile.Therefore, need whole process that battery dump energy is estimated accurately.Particularly, before battery product dispatches from the factory, battery dump energy is estimated, can be guaranteed the quality that battery dispatches from the factory; In the battery use, battery dump energy is estimated, can in time be grasped energy information accurately, predict follow-up spendable time and in time charging; At battery performance along with daily use gradually in the degenerative process; Accurate estimation to battery dump energy can be predicted remaining battery life; Carry out in advance and more renew battery, reclaim the plan of used batteries, thereby reduce unnecessary charging energy consumption; Avoid burst failure conditions such as leakage, improve security and reliability that battery uses.Therefore, the carrying out of battery dump energy 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.Yet during open-circuit voltage method estimating battery dump energy, battery must leave standstill the long period to reach steady state (SS), estimates so only be applicable to the battery dump energy of electric automobile under dead ship condition.And the ampere-hour rule receives the influence of current measurement precision easily, and under the violent situation of high temperature or current fluctuation, the precision that battery dump energy is estimated is very poor, can not satisfy the demand of practical application.
Summary of the invention
Because the above-mentioned defective of prior art; Technical matters to be solved by this invention provides a kind of fast battery remaining capacity estimation system and method thereof; Test the dump energy that the correlation parameter of the battery that obtains comes estimating battery according to battery being carried out fast charging and discharging; Its speed is fast, and accuracy is high.
Be to realize above-mentioned purpose, the invention provides a kind of fast battery remaining capacity estimation system, comprising:
The battery charging and discharging control module, it links to each other with battery, and from said battery, obtains battery size and historical information;
The battery testing model bank; It links to each other with said battery charging and discharging control module, supplies it to extract rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that matees with said battery size and historical information;
The voltage characteristic extraction module, it links to each other with said battery charging and discharging control module, and calculates the voltage characteristic of said battery;
The current characteristic extraction module, it links to each other with said battery charging and discharging control module, and calculates the current characteristic of said battery;
The dump energy analysis module, it discharges and recharges control module with said voltage characteristic extraction module, current characteristic extraction module with electric current and links to each other, and according to said voltage characteristic and current characteristic, calculates the dump energy of said battery;
And battery dump energy storage display module, it links to each other with the battery testing model bank with said dump energy analysis module, is used to store and show the dump energy information of said battery.
Above-mentioned fast battery remaining capacity estimation system; Wherein, include rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that is complementary with said battery size and historical information in the said battery testing model bank.
Above-mentioned fast battery remaining capacity estimation system, wherein, said battery is dry cell, accumulator, fuel cell or electrokinetic cell.
Above-mentioned fast battery remaining capacity estimation system, wherein, said battery dump energy storage display module comprises LCD.
In addition, the present invention also provides a kind of fast battery method for estimating remaining capacity, comprises the steps:
Extract the battery size and the historical information of battery;
According to the battery size and the historical information of said battery, in the battery testing model bank, extract and said battery size and the corresponding rapid charge discharge test of historical information sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model;
According to said rapid charge discharge test sequence, said battery is carried out the fast charging and discharging test;
In said fast charging and discharging test process, gather voltage, the current information of said battery;
According to the voltage of said battery, the dump energy that current information is estimated said battery;
The dump energy information that shows and store said battery.
Above-mentioned fast battery method for estimating remaining capacity wherein, also comprises according to the said battery testing model bank of said battery dump energy information updating.
Above-mentioned fast battery method for estimating remaining capacity; Wherein, the fast charging and discharging test obtains voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model in the said battery testing model bank through the sample battery is carried out.
Further, above-mentioned fast battery method for estimating remaining capacity, wherein, said 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, said 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 are tested and are estimated its dump energy through battery being carried out corresponding fast charging and discharging, and it is simple in structure, and accuracy is high; Can be convenient to the management that battery uses in real time for the user provides battery dump energy information.
Description of drawings
Fig. 1 is the structural representation of fast battery remaining capacity estimation of the present invention system.
Embodiment
Below will combine accompanying drawing that the technique effect of design of the present invention, concrete structure and generation is described further, to understand the object of the invention, characteristic and effect fully.
As shown in Figure 1, fast battery remaining capacity estimation of the present invention system 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, The battery charging and discharging control module links to each other with battery 101; Battery testing model bank 104, voltage characteristic extraction module 105, current characteristic extraction module 106 and dump energy analysis module 107 all link to each other with battery charging and discharging control module 102; Dump energy analysis module 107 links to each other with current characteristic extraction module 106 with voltage characteristic extraction module 105 again, and battery dump energy storage display module 108 links to each other with battery testing model bank 104 with dump energy analysis module 107 again.
Battery testing model bank 104 is databases, wherein includes rapid charge discharge test sequence 103, voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model that battery size and historical information with battery are complementary.
Introduce fast battery method for estimating remaining capacity of the present invention below in detail.
At first, battery 101 is connected with battery charging and discharging control module 102, extracts the 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 battery size that obtains and historical information, battery charging and discharging control module 102 is extracted 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 is complementary with it in battery testing model bank 104; After battery testing module library 104 was sent to rapid charge discharge test sequence 103 in the battery charging and discharging control module 102,102 of battery charging and discharging control modules were carried out fast charging and discharging according to 103 pairs of batteries of rapid charge discharge test sequence 101 and are tested; Battery charging and discharging control module 102 is gathered the electric current and the information of voltage of battery 101 in the fast charging and discharging process, and is transferred to voltage characteristic extraction module 105 and current characteristic extraction module 106; The voltage characteristic and the current characteristic of voltage characteristic extraction module 105 and current characteristic extraction module 106 difference counting cells, and be transferred to dump energy analysis module 107; Dump energy analysis module 107 utilizes the voltage characteristic of above-mentioned battery and current characteristic obtains battery 101 through Algorithm Analysis dump energy; The dump energy of battery 101 is stored and is shown in the battery dump energy storage display module 108; Deposit in the battery testing model bank 104 during with the battery dump energy information of same that obtains, so that next battery charge or upgrade battery testing model bank 104 when detecting makes battery testing model bank 104 more accurate.
Wherein, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model in the battery testing model bank 104 is to obtain through the sample battery is carried out the fast charging and discharging test in advance.In the test of above-mentioned fast charging and discharging, can carry out a fast charging and discharging test at dump energy node place arbitrarily.For example, with the every increase of dump energy or reduce by 10% node and carry out the fast charging and discharging test, the test interval of dump energy also can get 5%, 1% etc.The dump energy test interval is obtained thin more, and the gained model parameter generally can be more accurate, but the required time of computation model parameter spends also big more.In addition, the correlation parameter of obtaining during each estimating battery dump energy also can store in the battery testing model bank 104, so that the data in real-time update and the adjustment battery testing model bank 104 make that the estimation of battery dump energy is 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, perhaps multiple battery such as fuel cell.
In a preferred embodiment of the invention; Comprise a LCD in the battery dump energy storage display module 108; It also can be the display device on smart mobile phone, the digital instrument dial plate etc.; Be used for clearly showing the battery current dump energy, be convenient to the user and according to circumstances formulate relevant battery usage policy.
Through adopting fast battery method for estimating remaining capacity of the present invention, can realize obtaining in 1 minute the target of battery dump energy, and the error precision between estimated value and the actual value is less than 15%.
More than describe preferred embodiment of the present invention in detail.The ordinary skill that should be appreciated that this area need not creative work and just can design according to the present invention make many modifications and variation.Therefore, all technician in the art all should be in the determined protection domain by claims under this invention's idea on the basis of existing technology through the available technical scheme of logical analysis, reasoning, or a limited experiment.

Claims (9)

1. a fast battery remaining capacity estimation system is characterized in that, comprising:
The battery charging and discharging control module, it links to each other with battery, and from said battery, obtains battery size and historical information;
The battery testing model bank; It links to each other with said battery charging and discharging control module, to extract rapid charge discharge test sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model that matees with said battery size and historical information;
The voltage characteristic extraction module, it links to each other with said battery charging and discharging control module, and calculates the voltage characteristic of said battery;
The current characteristic extraction module, it links to each other with said battery charging and discharging control module, and calculates the current characteristic of said battery;
The dump energy analysis module, it discharges and recharges control module with said voltage characteristic extraction module, current characteristic extraction module with electric current and links to each other, and according to said voltage characteristic and current characteristic, calculates the dump energy of said battery;
And battery dump energy storage display module, it links to each other with the battery testing model bank with said dump energy analysis module, is used to store and show the dump energy information of said battery.
2. fast battery remaining capacity estimation as claimed in claim 1 system; It is characterized in that, 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 are complementary with said battery size and historical information in the said battery testing model bank.
3. fast battery remaining capacity estimation as claimed in claim 1 system is characterized in that said battery is dry cell, accumulator, fuel cell or electrokinetic cell.
4. fast battery remaining capacity estimation as claimed in claim 1 system is characterized in that, said battery dump energy storage display module comprises LCD.
5. a fast battery method for estimating remaining capacity is characterized in that, comprises the steps:
Extract the battery size and the historical information of battery;
According to the battery size and the historical information of said battery, in the battery testing model bank, extract and said battery size and the corresponding rapid charge discharge test of historical information sequence, voltage characteristic extraction model parameter, current characteristic extraction model parameter and dump energy parameter of analytic model;
According to said rapid charge discharge test sequence, said battery is carried out the fast charging and discharging test;
In said fast charging and discharging test process, gather voltage, the current information of said battery;
According to the voltage of said battery, the dump energy that current information is estimated said battery;
The dump energy information that shows and store said battery.
6. fast battery method for estimating remaining capacity as claimed in claim 5 is characterized in that, also comprises according to the said battery testing model bank of said battery dump energy information updating.
7. fast battery method for estimating remaining capacity as claimed in claim 5; It is characterized in that the fast charging and discharging test obtains voltage characteristic extraction model parameter, current characteristic extraction model parameter and the dump energy parameter of analytic model in the said battery testing model bank through the sample battery is carried out.
8. fast battery method for estimating remaining capacity as claimed in claim 7 is characterized in that, said fast charging and discharging test is carried out at the arbitrary node place of battery dump energy.
9. fast battery method for estimating remaining capacity as claimed in claim 5 is characterized in that, said battery is dry cell, accumulator, fuel cell or electrokinetic cell.
CN201110440860.3A 2011-12-23 2011-12-23 Fast battery remaining capacity estimation system and method thereof Expired - Fee Related CN102520365B (en)

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102868001A (en) * 2012-09-20 2013-01-09 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
CN102944848A (en) * 2012-11-21 2013-02-27 广东省自动化研究所 Real-time evaluation method for remaining capacity of power batteries and device thereof
CN103513188A (en) * 2013-10-15 2014-01-15 清华大学 Power calculation method of single battery in power system energy storage station
CN103901354A (en) * 2014-04-23 2014-07-02 武汉市欧力普能源与自动化技术有限公司 Methods for predicting SOC of vehicle-mounted power battery of electric automobile
CN103913706A (en) * 2012-12-29 2014-07-09 北京谊安医疗系统股份有限公司 Lithium-battery electric-quantity detection method and device
CN104301499A (en) * 2013-07-15 2015-01-21 腾讯科技(深圳)有限公司 Method and device for analyzing battery capacity records of mobile terminal, platform and mobile terminal
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
CN104393647A (en) * 2014-11-28 2015-03-04 上海交通大学 Charging pipe 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
CN110137544A (en) * 2019-04-18 2019-08-16 上海交通大学 Proton exchange film fuel cell electric piling reactiveness on-line detecting system and its application
US11029361B2 (en) 2018-12-05 2021-06-08 Acer Incorporated Method for determining state of charge and electronic device thereof
CN113673712A (en) * 2021-10-25 2021-11-19 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 (5)

* Cited by examiner, † Cited by third party
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
JP2003167035A (en) * 2001-11-30 2003-06-13 Fuji Heavy Ind Ltd Battery storage quantity estimating device
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
WO2010099836A1 (en) * 2009-03-02 2010-09-10 Sony Ericsson Mobile Communications Ab Method and arrangement for determining energy source unit status
CN102024999A (en) * 2010-11-16 2011-04-20 上海交通大学 Electric car running power management system

Patent Citations (5)

* Cited by examiner, † Cited by third party
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
JP2003167035A (en) * 2001-11-30 2003-06-13 Fuji Heavy Ind Ltd Battery storage quantity estimating device
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
WO2010099836A1 (en) * 2009-03-02 2010-09-10 Sony Ericsson Mobile Communications Ab Method and arrangement for determining energy source unit status
CN102024999A (en) * 2010-11-16 2011-04-20 上海交通大学 Electric car running power management system

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
《Cogn Neurodyn》 20110628 Fengyu Cong et al. Answering six questions in extracting children's mismatch negativity through combining wavelet decomposition and independent component analysis 343-359 , *
FENGYU CONG ET AL.: "Answering six questions in extracting children’s mismatch negativity through combining wavelet decomposition and independent component analysis", 《COGN NEURODYN》 *
JINGLIANG ZHANG ET AL.: "A review on prognostics and health monitoring of Li-ion battery", 《JOURNAL OF POWER SOURCES》 *
刘霞等: "锂电池电量的动态预测", 《大庆石油学院院报》 *
张卫钢等: "电动汽车剩余电量计算方法", 《交通运输工程学报》 *
李忠学等: "碳基超级电容器的快速充放电性能及失效模式", 《兰州交通大学学报(自然科学版)》 *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102868001A (en) * 2012-09-20 2013-01-09 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
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
CN102944848A (en) * 2012-11-21 2013-02-27 广东省自动化研究所 Real-time evaluation method for remaining capacity of power batteries and device thereof
CN103913706A (en) * 2012-12-29 2014-07-09 北京谊安医疗系统股份有限公司 Lithium-battery electric-quantity detection method and device
CN104301499A (en) * 2013-07-15 2015-01-21 腾讯科技(深圳)有限公司 Method and device for analyzing battery capacity records of mobile terminal, platform and mobile terminal
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
CN103513188A (en) * 2013-10-15 2014-01-15 清华大学 Power calculation method of single battery in power system energy storage station
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
CN103901354A (en) * 2014-04-23 2014-07-02 武汉市欧力普能源与自动化技术有限公司 Methods for predicting SOC of vehicle-mounted power battery of electric automobile
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
CN104393647A (en) * 2014-11-28 2015-03-04 上海交通大学 Charging pipe 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
US11029361B2 (en) 2018-12-05 2021-06-08 Acer Incorporated Method for determining state of charge and electronic device thereof
CN110137544A (en) * 2019-04-18 2019-08-16 上海交通大学 Proton exchange film fuel cell electric piling reactiveness on-line detecting system and its application
CN113673712A (en) * 2021-10-25 2021-11-19 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
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

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