CN105334465A - Method for online evaluating state of health of lithium ion battery - Google Patents
Method for online evaluating state of health of lithium ion battery Download PDFInfo
- Publication number
- CN105334465A CN105334465A CN201510584670.7A CN201510584670A CN105334465A CN 105334465 A CN105334465 A CN 105334465A CN 201510584670 A CN201510584670 A CN 201510584670A CN 105334465 A CN105334465 A CN 105334465A
- Authority
- CN
- China
- Prior art keywords
- internal resistance
- battery
- lithium ion
- ion battery
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to a method for online evaluating the state of health (SOH) of a lithium ion battery. The method online identifies an important parameter, namely the ohm internal resistance of the lithium ion battery, indicative of the SOH and the operating state of the lithium ion battery by using a recursion least square identification algorithm based on a battery equivalent circuit model, introduces a method for screening the internal resistance at preset time interval in view that the ohm internal resistance of the lithium ion battery is in close connection to battery pack temperature, current power, and battery state of charge, establishes a relation between the screened mean internal resistance and the SOH, and accurately reflects the current SOH of the lithium ion battery by using a battery internal resistance characteristic so as to further improve the use safety of the lithium ion battery.
Description
Technical field
The present invention relates to the technical field of lithium ion of new-energy automobile, more particularly, relate to a kind of health state of lithium ion battery estimation on line method.
Background technology
Electric automobile has outstanding advantage such as low noise, almost zero-emission, comprehensive energy utilization etc., is the important channel solving the problem such as the energy, environmental protection now, becomes the developing direction in auto industry future undoubtedly.Along with the widespread use of lithium ion battery on new-energy automobile, cell health state (StateofHealth, SOH) more and more receives the concern of industry member and academia.
The internal resistance of battery is one of of paramount importance characterisitic parameter of battery, and it is the important parameter of characterizing battery health status and battery operation state, is the outstanding feature that measurement electronics and ion transmit complexity in electrode.The accurate detection internal resistance of cell is also the objective requirement of battery management and practical application.But for the nonlinearity system that battery is such, the internal resistance of cell can not directly obtain, and cannot realize on-line measurement.Simultaneously, the internal resistance of cell and power brick temperature, current ratio, battery charge state (StateofCharge, SOC) close contact is had, cell health state SOH is weighed with internal resistance, both relation is also non-linear, increases the difficulty setting up relation between the internal resistance of cell and health status.
Summary of the invention
In view of this, the present invention proposes a kind of health state of lithium ion battery estimation on line method, set up the corresponding relation of the internal resistance of cell and health status, reflect battery current health state accurately by internal resistance of cell characteristic, promote the safe handling of lithium ion battery further.
For solving the problems of the technologies described above, the technical solution used in the present invention is as follows:
A kind of health state of lithium ion battery estimation on line method, comprises the following steps:
(1) characteristic ginseng value of on-line identification battery;
(2) internal resistance of cell is screened online with prefixed time interval;
(3) filtering internal resistance is solved; Get average to screening internal resistance, carry out gliding smoothing filtering to average internal resistance, cell health state estimation is carried out in filtering internal resistance the most at last;
Cell health state=100%-(current internal resistance value-life-span initial internal resistance value)/(end-of-life internal resistance value-life-span initial internal resistance value) * 100%.
The characteristic ginseng value of described on-line identification battery is specially: on-line identification algorithm adopts the Recursive Least-square based on battery equivalent-circuit model, the characteristic parameter of battery equivalent-circuit model has: Voc open-circuit voltage, R0 ohmic internal resistance, Rp polarization resistance, Cp polarization capacity; Set up the Recursive Least-square of this battery model, algorithm can identification battery characteristics parameter identification value.The present invention establishes the relation of ohmic internal resistance and cell health state, and namely the following internal resistance of cell is all it is considered that ohmic internal resistance value.
Describedly screen the internal resistance of cell online with specified time interval and be specially: the prefixed time interval of employing reduces along with the increase of service time of battery.Fixed current multiplying power interval [I
1, I
2], battery charge state interval [SOC
1, SOC
2] and power brick temperature range [T
1, T
2], wherein [T
1, T
2], [I
1, I
2], [SOC
1, SOC
2] be algorithm preset value.When only having current flow multiplying power, state-of-charge, power brick temperature to be in respectively in above-mentioned 3 fixed intervals, the internal resistance value of identification is carried out screening and use in order to follow-up estimating state of health of battery.
Consider that four seasons environment temperature, power brick use the factor impacts such as rear temperature rising, power brick heat management in addition, if necessary, power brick temperature range can select two groups or three groups, strengthens SOH algorithm adaptability.
As can be seen from above-mentioned technical scheme, the inventive method is by the characteristic ginseng value of on-line identification battery, and screen the internal resistance of cell online with specified time interval, solve filtering internal resistance, finally set up filtering internal resistance and health status relation, reflect battery current health state accurately by internal resistance of cell characteristic, promote the safe handling of lithium ion battery further.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in description of the prior art below.
Fig. 1 is the battery equivalent circuit diagram that the present invention applies;
The process flow diagram of Fig. 2 health state of lithium ion battery estimation on line method disclosed in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Disclosed in the embodiment of the present invention, health state of lithium ion battery estimation on line method, sets up the corresponding relation of the internal resistance of cell and health status, reflects battery current health state accurately by internal resistance of cell characteristic, promotes the safe handling of lithium ion battery further.
As shown in Figure 2, health state of lithium ion battery estimation on line method comprises the following steps:
The characteristic ginseng value of S1, on-line identification battery;
Concrete, on-line identification algorithm adopts the Recursive Least-square based on battery equivalent-circuit model, and as shown in Figure 1, battery model characteristic parameter: Voc is open-circuit voltage to battery model, R0 is ohmic internal resistance, and Rp is polarization resistance, and Cp is polarization capacity; Set up the Recursive Least-square of this battery model, algorithm can identification battery characteristics parameter identification value.
S2, prefixed time interval screen the internal resistance of cell online;
Concrete, the prefixed time interval of employing reduces along with the increase of service time of battery, as shown in table 1.Fixed current multiplying power interval [I
1, I
2], battery charge state interval [SOC
1, SOC
2] and power brick temperature range [T
1, T
2], wherein [T
1, T
2], [I
1, I
2], [SOC
1, SOC
2] be algorithm preset value.When only having current flow multiplying power, state-of-charge, power brick temperature to be in respectively in above-mentioned 3 fixed intervals, only has current flow multiplying power ∈ [I
1, I
2], state-of-charge ∈ [SOC
1, SOC
2], power brick temperature ∈ [T
1, T
2], the internal resistance value of identification could be screened.
Further, it is also conceivable to four seasons environment temperature, power brick uses the factor impacts such as rear temperature rising, power brick heat management, two groups or three groups are selected to power brick temperature range, SOH algorithm adaptability can be strengthened like this.
S3, solve filtering internal resistance;
Concrete, average is got, as R to the internal resistance of cell value of screening
ave, to R
avecarry out gliding smoothing filtering, estimating state of health of battery.Gliding smoothing filtering is as follows:
R
ave1, R
ave2, R
ave3get average as R
ave1', R
ave1' again with R
ave2, R
ave3getting average is R
ave2', R
ave2' again with R
ave3, R
ave4getting average is R
ave3' the like.
Cell health state estimation is carried out in filtering internal resistance the most at last.
S4, set up filtering internal resistance and health status relation, estimation on line cell health state;
Concrete, cell health state=100%-(current internal resistance value-life-span initial internal resistance value)/(end-of-life internal resistance value-life-span initial internal resistance value) * 100%.
Selected parameter is specially: carry out life performance to battery and know the real situation, and obtains life-span initial internal resistance value and end-of-life internal resistance value by test.
In the above-described embodiments, the present invention adopts the Recursive Least-square based on battery equivalent-circuit model, the important parameter of on-line identification characterizing battery health status and battery operation state: battery ohmic internal resistance.Consider that battery ohmic internal resistance and power brick temperature, current ratio, battery charge state have close contacting simultaneously, introduce the method for specified time interval screening internal resistance, and the relation set up between the average internal resistance of screening and health status SOH, reflect battery current health state accurately with battery inner resistance, promote the safe handling of lithium ion battery further.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (4)
1. a health state of lithium ion battery estimation on line method, comprises the following steps:
(1) characteristic ginseng value of on-line identification battery;
(2) internal resistance of cell is screened online with prefixed time interval;
(3) filtering internal resistance is solved; Get average to screening internal resistance, carry out gliding smoothing filtering to average internal resistance, cell health state estimation is carried out in filtering internal resistance the most at last;
Cell health state=100%-(current internal resistance value-life-span initial internal resistance value)/(end-of-life internal resistance value-life-span initial internal resistance value) * 100%;
(4) filtering internal resistance and health status relation is set up, estimation on line cell health state.
2. health state of lithium ion battery estimation on line method according to claim 1, it is characterized in that, the characteristic ginseng value of described on-line identification battery is specially: adopt battery equivalent-circuit model, set up the Recursive Least-square of this battery model, by algorithm identification battery characteristics parameter identification value.
3. health state of lithium ion battery estimation on line method according to claim 1, it is characterized in that, describedly screen the internal resistance of cell online with prefixed time interval and be specially: the prefixed time interval of employing reduces along with the increase of service time of battery, fixed current multiplying power interval [I
1, I
2], battery charge state interval [SOC
1, SOC
2] and power brick temperature range [T
1, T
2], wherein [T
1, T
2], [I
1, I
2], [SOC
1, SOC
2] be algorithm preset value, when only having current flow multiplying power, state-of-charge, power brick temperature to be in respectively in above-mentioned 3 fixed intervals, the internal resistance value of identification is carried out screening and use in order to follow-up estimating state of health of battery.
4. health state of lithium ion battery estimation on line method according to claim 3, is characterized in that, described power brick temperature range selects two groups or three groups.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510584670.7A CN105334465B (en) | 2015-09-15 | 2015-09-15 | A kind of health state of lithium ion battery evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510584670.7A CN105334465B (en) | 2015-09-15 | 2015-09-15 | A kind of health state of lithium ion battery evaluation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105334465A true CN105334465A (en) | 2016-02-17 |
| CN105334465B CN105334465B (en) | 2019-03-26 |
Family
ID=55285108
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510584670.7A Active CN105334465B (en) | 2015-09-15 | 2015-09-15 | A kind of health state of lithium ion battery evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105334465B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106291380A (en) * | 2016-08-16 | 2017-01-04 | 苏州协鑫集成科技工业应用研究院有限公司 | The appraisal procedure of cell degradation and device |
| CN106896325A (en) * | 2017-01-24 | 2017-06-27 | 广东恒沃动力科技有限公司 | A kind of battery parameter on-line identification method and system |
| CN107589382A (en) * | 2017-10-25 | 2018-01-16 | 宁夏黑金昊源绿能科技有限公司 | A kind of detection means of battery surplus and health status |
| CN108805217A (en) * | 2018-06-20 | 2018-11-13 | 山东大学 | A kind of health state of lithium ion battery method of estimation and system based on support vector machines |
| CN109490765A (en) * | 2018-09-21 | 2019-03-19 | 上海电科电器科技有限公司 | Device for switching contact residual Life Calculation method and detection device, contactor |
| CN111751731A (en) * | 2020-07-19 | 2020-10-09 | 东北石油大学 | Method and device for determining battery activity, electronic equipment and storage medium |
| CN111965555A (en) * | 2020-09-18 | 2020-11-20 | 重庆长安新能源汽车科技有限公司 | Parallel connection group screening method for single batteries |
| CN112748350A (en) * | 2019-10-29 | 2021-05-04 | 南京德朔实业有限公司 | Battery pack fault judgment method, fault detection system and battery pack |
| CN112986834A (en) * | 2021-02-26 | 2021-06-18 | 重庆长安新能源汽车科技有限公司 | Battery safety monitoring method and system based on voltage sequencing |
| CN113557439A (en) * | 2019-03-12 | 2021-10-26 | 三星Sdi株式会社 | Method for estimating state of health of battery |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253343A (en) * | 2011-04-21 | 2011-11-23 | 北京世纪瑞尔技术股份有限公司 | Method for estimating state of health and state of charge of storage battery |
| CN102930173A (en) * | 2012-11-16 | 2013-02-13 | 重庆长安汽车股份有限公司 | SOC(state of charge) online estimation method for lithium ion battery |
| CN103020445A (en) * | 2012-12-10 | 2013-04-03 | 西南交通大学 | SOC (State of Charge) and SOH (State of Health) prediction method of electric vehicle-mounted lithium iron phosphate battery |
| CN103399277A (en) * | 2013-07-29 | 2013-11-20 | 重庆长安汽车股份有限公司 | Power battery actual capacity estimation method |
| CN103558556A (en) * | 2013-10-31 | 2014-02-05 | 重庆长安汽车股份有限公司 | Power battery SOH estimation method |
| CN103698713A (en) * | 2013-12-30 | 2014-04-02 | 长城汽车股份有限公司 | Method for assessing SOH (state of health) of lithium ion battery |
| CN103744030A (en) * | 2014-01-12 | 2014-04-23 | 中国科学院电工研究所 | Device and method for estimating health status and state of charge of battery pack on line |
-
2015
- 2015-09-15 CN CN201510584670.7A patent/CN105334465B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253343A (en) * | 2011-04-21 | 2011-11-23 | 北京世纪瑞尔技术股份有限公司 | Method for estimating state of health and state of charge of storage battery |
| CN102930173A (en) * | 2012-11-16 | 2013-02-13 | 重庆长安汽车股份有限公司 | SOC(state of charge) online estimation method for lithium ion battery |
| CN103020445A (en) * | 2012-12-10 | 2013-04-03 | 西南交通大学 | SOC (State of Charge) and SOH (State of Health) prediction method of electric vehicle-mounted lithium iron phosphate battery |
| CN103399277A (en) * | 2013-07-29 | 2013-11-20 | 重庆长安汽车股份有限公司 | Power battery actual capacity estimation method |
| CN103558556A (en) * | 2013-10-31 | 2014-02-05 | 重庆长安汽车股份有限公司 | Power battery SOH estimation method |
| CN103698713A (en) * | 2013-12-30 | 2014-04-02 | 长城汽车股份有限公司 | Method for assessing SOH (state of health) of lithium ion battery |
| CN103744030A (en) * | 2014-01-12 | 2014-04-23 | 中国科学院电工研究所 | Device and method for estimating health status and state of charge of battery pack on line |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106291380B (en) * | 2016-08-16 | 2019-09-17 | 苏州协鑫集成科技工业应用研究院有限公司 | The appraisal procedure and device of cell degradation |
| CN106291380A (en) * | 2016-08-16 | 2017-01-04 | 苏州协鑫集成科技工业应用研究院有限公司 | The appraisal procedure of cell degradation and device |
| CN106896325A (en) * | 2017-01-24 | 2017-06-27 | 广东恒沃动力科技有限公司 | A kind of battery parameter on-line identification method and system |
| CN107589382A (en) * | 2017-10-25 | 2018-01-16 | 宁夏黑金昊源绿能科技有限公司 | A kind of detection means of battery surplus and health status |
| CN108805217A (en) * | 2018-06-20 | 2018-11-13 | 山东大学 | A kind of health state of lithium ion battery method of estimation and system based on support vector machines |
| CN108805217B (en) * | 2018-06-20 | 2020-10-23 | 山东大学 | Lithium ion battery health state estimation method and system based on support vector machine |
| CN109490765A (en) * | 2018-09-21 | 2019-03-19 | 上海电科电器科技有限公司 | Device for switching contact residual Life Calculation method and detection device, contactor |
| JP2022524827A (en) * | 2019-03-12 | 2022-05-10 | 三星エスディアイ株式会社 | Battery health estimation method |
| JP7292404B2 (en) | 2019-03-12 | 2023-06-16 | 三星エスディアイ株式会社 | Method of estimating battery health |
| CN113557439A (en) * | 2019-03-12 | 2021-10-26 | 三星Sdi株式会社 | Method for estimating state of health of battery |
| CN112748350A (en) * | 2019-10-29 | 2021-05-04 | 南京德朔实业有限公司 | Battery pack fault judgment method, fault detection system and battery pack |
| CN111751731A (en) * | 2020-07-19 | 2020-10-09 | 东北石油大学 | Method and device for determining battery activity, electronic equipment and storage medium |
| CN111965555A (en) * | 2020-09-18 | 2020-11-20 | 重庆长安新能源汽车科技有限公司 | Parallel connection group screening method for single batteries |
| CN111965555B (en) * | 2020-09-18 | 2022-05-03 | 重庆长安新能源汽车科技有限公司 | Parallel connection group screening method for single batteries |
| CN112986834A (en) * | 2021-02-26 | 2021-06-18 | 重庆长安新能源汽车科技有限公司 | Battery safety monitoring method and system based on voltage sequencing |
| CN112986834B (en) * | 2021-02-26 | 2023-08-15 | 深蓝汽车科技有限公司 | Battery safety monitoring method and system based on voltage sequencing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105334465B (en) | 2019-03-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105334465A (en) | Method for online evaluating state of health of lithium ion battery | |
| CN107192914B (en) | Lithium-ion-power cell internal short-circuit detection method | |
| Samadani et al. | Empirical modeling of lithium-ion batteries based on electrochemical impedance spectroscopy tests | |
| CN107145628B (en) | Method for predicting cycle life of lithium battery based on electrochemical-thermal coupling model | |
| CN104569835B (en) | A kind of method of the state-of-charge for the electrokinetic cell for estimating electric automobile | |
| Jaguemont et al. | Lithium-ion battery aging experiments at subzero temperatures and model development for capacity fade estimation | |
| CN110795851B (en) | Lithium ion battery modeling method considering environmental temperature influence | |
| Jaguemont et al. | Fast-charging investigation on high-power and high-energy density pouch cells with 3D-thermal model development | |
| CN102930173B (en) | A kind of charge states of lithium ion battery estimation on line method | |
| Danzer et al. | Aging of lithium-ion batteries for electric vehicles | |
| CN104345275A (en) | Method for dynamically evaluating battery consistency | |
| CN103904721A (en) | Apparatus and method for equalizing energy of battery cells | |
| Mamadou et al. | The state-of-energy: A new criterion for the energetic performances evaluation of electrochemical storage devices | |
| Jaguemont et al. | Streamline three-dimensional thermal model of a lithium titanate pouch cell battery in extreme temperature conditions with module simulation | |
| CN104808098A (en) | Method for testing welding reliability of electrical core module | |
| Divakar et al. | Battery management system and control strategy for hybrid and electric vehicle | |
| Ma et al. | Electro-thermal modeling of a lithium-ion battery system | |
| CN105891715A (en) | Lithium ion battery health state estimation method | |
| CN104749524A (en) | Battery management system power calculation method | |
| CN112180278A (en) | Electric vehicle power battery performance nondestructive testing method considering voltage hysteresis characteristic | |
| CN104537166A (en) | Equivalent circuit model method for power battery | |
| CN110949175A (en) | Battery service life control method for electric automobile | |
| CN104379391A (en) | Method for determining the internal ohmic resistance of a battery module, battery management system and motor vehicle | |
| Kim et al. | Battery hybridization for achieving both high power and high energy densities | |
| CN104882914A (en) | Multi-battery cell balancing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20160217 Assignee: CHONGQING CHANGAN NEW ENERGY AUTOMOBILE TECHNOLOGY Co.,Ltd. Assignor: Chongqing Changan Automobile Co.,Ltd.|CHONGQING CHANG'AN NEW ENERGY AUTOMOBILE Co.,Ltd. Contract record no.: 2018500000019 Denomination of invention: Method for online evaluating state of health of lithium ion battery License type: Exclusive License Record date: 20181126 |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190102 Address after: 401133 room 208, 2 house, 39 Yonghe Road, Yu Zui Town, Jiangbei District, Chongqing Applicant after: CHONGQING CHANGAN NEW ENERGY AUTOMOBILE TECHNOLOGY Co.,Ltd. Address before: 400023, No. 260, Jianxin East Road, Jiangbei District, Chongqing Applicant before: Chongqing Changan Automobile Co.,Ltd. Applicant before: CHONGQING CHANG'AN NEW ENERGY AUTOMOBILE Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 401133 room 208, 2 house, 39 Yonghe Road, Yu Zui Town, Jiangbei District, Chongqing Patentee after: Deep Blue Automotive Technology Co.,Ltd. Address before: 401133 room 208, 2 house, 39 Yonghe Road, Yu Zui Town, Jiangbei District, Chongqing Patentee before: CHONGQING CHANGAN NEW ENERGY AUTOMOBILE TECHNOLOGY Co.,Ltd. |