CN112731167A - Battery life judgment method and device and vehicle - Google Patents
Battery life judgment method and device and vehicle Download PDFInfo
- Publication number
- CN112731167A CN112731167A CN202011483903.1A CN202011483903A CN112731167A CN 112731167 A CN112731167 A CN 112731167A CN 202011483903 A CN202011483903 A CN 202011483903A CN 112731167 A CN112731167 A CN 112731167A
- Authority
- CN
- China
- Prior art keywords
- discharge
- soc
- battery
- discharging
- less
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000007599 discharging Methods 0.000 claims abstract description 31
- 230000008569 process Effects 0.000 claims abstract description 28
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 230000006399 behavior Effects 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 6
- 206010011906 Death Diseases 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 230000002459 sustained effect Effects 0.000 claims description 2
- 230000008859 change Effects 0.000 abstract description 3
- 238000011156 evaluation Methods 0.000 abstract 1
- 238000013499 data model Methods 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention relates to the technical field of new energy automobiles, in particular to a method and a device for judging the service life of a battery and a vehicle, wherein the method comprises the steps of actually discharging times, detecting the discharging process of the battery, and calculating the discharging times according to the discharging degree of the battery; judging the service life, namely judging the service life is terminated when the ratio of the current discharge capacity to the initial capacity value is lower than a threshold value when the battery system finishes a complete discharge behavior; the SOC variation curve of the power battery in the whole cycle period is not required to be obtained at one time, the SOC time sequence of the power battery is not required to be preprocessed, the loss of the power battery can be calculated according to each change of the SOC of the power battery, and the calculation is more accurate, so that the whole process is simpler and easier to realize, and the real-time requirement of the service life loss evaluation of the power battery is met.
Description
Technical Field
The invention relates to the technical field of new energy automobiles, in particular to a method and a device for judging the service life of a battery and a vehicle.
Background
With the progress of battery technology, the retention capacity of electric vehicles is increasing year by year, consumers pay attention to the safety of batteries and also pay attention to the service life of the batteries, which directly affects the use cost of the electric vehicles.
As the number of uses of the electric vehicle increases, the battery may be attenuated to various degrees. When the state of the battery system is reduced to a certain degree, the battery system is maintained, the service life of the battery system can be prolonged, the use experience is improved, and the use cost of the full life cycle is reduced.
The lithium ion battery inevitably faces the attenuation problem in the use process, and the performance of the whole vehicle and the experience of consumers are seriously influenced. The end of life of a power battery for an electric vehicle is generally defined as the remaining capacity being 80% of the initial capacity, at which point the battery is considered to be unusable and requires maintenance and replacement. At this time, the direct current internal resistance of the battery also increases rapidly, and the performance of the battery is seriously influenced. Therefore, estimation of battery capacity is a very important matter.
The service life estimation of the battery mainly comprises a physical model and a data model. The physical model is mainly used for predicting the service life of the battery according to the current condition, the power condition, the raw material characteristic and other aspects of the battery using process. The data model is analyzed from aspects such as voltage, temperature, time and the like, and the residual life of the battery is predicted through a statistical analysis method. In order to establish an accurate data model, a plurality of factors need to be analyzed and complex operations need to be carried out. Whether the actual prediction result is accurate and reliable still needs to be evaluated.
However, the current method for estimating the battery life is very complex, and the conditions for implementing the estimation method are harsh and difficult to implement.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: provided are a battery life determination method, a battery life determination device, and a vehicle, which are simpler and easier to implement.
In order to solve the above technical problems, a first technical solution adopted by the present invention is:
a battery life determination method, comprising:
actual discharge times, detection of the discharge process of the battery, and calculation of the discharge times according to the discharge degree of the battery;
and judging the service life, namely judging the service life termination when the ratio of the current discharge capacity to the initial capacity value is lower than a threshold value when the battery system finishes a complete discharge behavior.
Further, the "calculating the number of discharges according to the degree of discharge of the battery" includes:
in the course of a single sustained discharge, the discharge,
when the initial discharge SOC is more than or equal to 50 percent and if the SOC consumes more than 50 percent, the discharge behavior is one-time, and the discharge times N are accumulated by 1.0; if the SOC consumption is less than 50%, accumulating N according to the consumption rate of the SOC by the discharging action;
when the discharge starting SOC is less than 50%, if the SOC consumption is less than 50%, the discharge behavior accumulates N according to the consumption rate of the SOC.
Further, before the second discharge, when the initial SOC of the first discharge is more than or equal to 50%, if no charging process exists between the first discharge and the second discharge, the last discharge is considered to be continued, and the discharging process is not counted as the number of times of the first discharge until the next discharging process.
Further, when the initial discharge SOC is more than or equal to 50 percent, if the SOC consumes more than 50 percent, the discharge behavior is one-time, and the discharge times N are accumulated by 1.0; if SOC consumption is less than 50%, the discharge behavior accumulates N according to SOC consumption rate, if SOC consumption rate of single discharge is less than 10%, discharge times N do not accumulate.
Further, when the discharge starting SOC is less than 50%, if the SOC consumption is less than 50%, the discharge behavior accumulates N according to the SOC consumption rate, and if the SOC consumption rate of single discharge is less than 10%, the discharge times N do not accumulate.
Further, the "life determination" includes:
obtain initial Capacity, denoted Q0；
After the battery system discharges for N times, calculating the actual discharge capacity QNAnd Q0The relationship of (1);
if QN/Q0And (5) the service life is judged to be less than or equal to 80 percent, and early warning is given out.
Further, when the battery system discharges every hundred times, a complete discharging process is carried out, and if the discharge capacity is less than or equal to 90% of the initial capacity, the complete discharging process is carried out every 25 times; if the discharge capacity is less than or equal to 85% of the initial capacity, a complete discharge process is performed every 10 times.
Further, the discharge capacity ratios from the Nth, N +10, and N +20 times were compared, if Q wasN/Q0、QN+10/Q0、 QN+20/Q0Are all less than 80%, and are considered end-of-life; and sending out early warning.
In order to solve the above technical problem, the second technical solution adopted by the present invention is:
a battery life determination device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the battery life determination method when executing the computer program.
In order to solve the above technical problems, the third technical solution adopted by the present invention is:
a vehicle includes the battery life determination device described above.
The invention has the beneficial effects that: the method has the advantages that a SOC change curve of the power battery in the whole cycle period is not required to be obtained at one time, a SOC time sequence of the power battery is not required to be preprocessed, the loss of the power battery can be calculated according to each change of the SOC of the power battery, more accurate calculation is carried out, the whole process is simpler, the method is easier to realize, the real-time requirement of power battery life loss assessment is met, meanwhile, the battery system is prompted to be maintained or replaced by sending out early warning, and the method is favorable for keeping the battery in a controllable state.
Detailed Description
In order to explain the technical content, the objects and the effects of the present invention in detail, the following description will be given with reference to the embodiments.
Example one
A battery life determination method, comprising:
actual discharge times, detection of the discharge process of the battery, and calculation of the discharge times according to the discharge degree of the battery;
and (4) judging the service life, namely judging the service life is terminated when the ratio of the current discharge capacity to the initial capacity value is less than or equal to 80 percent (threshold value) when the battery system finishes a complete discharge behavior.
The "calculating the number of discharges according to the degree of discharge of the battery" includes:
(1) when the initial SOC of discharge is more than or equal to 50%
a) In the single continuous discharge process, the SOC consumption reaches or exceeds 50 percent, and then one discharge behavior can be recorded, and the discharge times N are accumulated to be 1.0; before the second discharging, if the charging process does not exist, the last discharging can be considered to be continued, the discharging is not counted as the discharging times, namely N is not accumulated until the next discharging process.
b) When the SOC consumption is less than 50% in a single continuous discharging process, the discharging action accumulates N according to the consumption rate of the SOC. I.e., SOC consumption 0.3, N plus 0.3. If the consumption rate of the single discharge SOC is less than 10%, the discharge times N are not accumulated, namely the minimum value of the N accumulation is 0.1.
(2) Discharge initial SOC is less than 50%
The SOC consumption is less than 50% in a single continuous discharging process, and the discharging action accumulates N according to the consumption rate of the SOC. I.e., SOC consumption 0.3, N plus 0.3. If the consumption rate of the single discharge SOC is less than 10%, the discharge times N are not accumulated, namely the minimum value of the N accumulation is 0.1.
The "life determination" includes:
obtaining initial capacity on a standard discharge capacity curve by a table look-up method, and recording the initial capacity as Q0；
After the battery system discharges for N times, calculating the actual discharge capacity QNAnd Q0The relationship of (1);
if QN/Q0And (5) the service life is judged to be less than or equal to 80 percent, and early warning is given out.
When the battery system discharges every hundred times (when N is accumulated to 100 times, namely N is 100N (N belongs to a natural number)), performing a complete discharging process, and when the discharge capacity is less than or equal to 90% of the initial capacity, performing a complete discharging process every 25 times; if the discharge capacity is less than or equal to 85% of the initial capacity, a complete discharge process is performed every 10 times.
Comparing the discharge capacity ratios from the Nth, N +10, and N +20 times, if QN/Q0、QN+10/Q0、QN+20/Q0Are all less than 80%, and are considered end-of-life; and sending out early warning.
Example two
A battery life determination apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the battery life determination method according to one embodiment when executing the computer program.
EXAMPLE III
A vehicle comprising the battery life determination device according to the second embodiment.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent modifications made by the present invention in the specification or directly or indirectly applied to the related technical field are included in the scope of the present invention.
Claims (10)
1. A battery life determination method, comprising:
actual discharge times, detection of the discharge process of the battery, and calculation of the discharge times according to the discharge degree of the battery;
and judging the service life, namely judging the service life termination when the ratio of the current discharge capacity to the initial capacity value is lower than a threshold value when the battery system finishes a complete discharge behavior.
2. The battery life determination method according to claim 1, wherein the "calculating the number of discharges according to the degree of battery discharge" includes:
in the course of a single sustained discharge, the discharge,
when the initial discharge SOC is more than or equal to 50 percent and if the SOC consumes more than 50 percent, the discharge behavior is one-time, and the discharge times N are accumulated by 1.0; if the SOC consumption is less than 50%, accumulating N according to the consumption rate of the SOC by the discharging action;
when the discharge starting SOC is less than 50%, if the SOC consumption is less than 50%, the discharge behavior accumulates N according to the consumption rate of the SOC.
3. The method of claim 2, wherein before the second discharging, when the initial SOC of the first discharging is greater than or equal to 50%, if there is no charging process between the first discharging and the second discharging, the last discharging is considered to be continued, and the discharging process is not counted as the number of times of the first discharging until the next discharging process.
4. The battery life determination method according to claim 2, wherein a discharge behavior is performed once when the initial SOC of discharge is equal to or greater than 50% and when the SOC is consumed by 50% or more, and the number of discharges N is accumulated to 1.0; if SOC consumption is less than 50%, the discharge behavior accumulates N according to SOC consumption rate, if SOC consumption rate of single discharge is less than 10%, discharge times N do not accumulate.
5. The battery life determination method according to claim 2, wherein when the discharge start SOC is less than 50%, if the SOC consumption is less than 50%, the discharging operation at this time accumulates N according to the SOC consumption rate, and if the SOC consumption rate at one time is less than 10%, the discharging times N are not accumulated.
6. The battery life determination method according to claim 1, wherein the "life determination" includes:
obtain initial Capacity, denoted Q0；
After the battery system discharges for N times, calculating the actual discharge capacity QNAnd Q0The relationship of (1);
if QN/Q0And (5) the service life is judged to be less than or equal to 80 percent, and early warning is given out.
7. The battery life determination method according to claim 6, wherein a complete discharge process is performed every hundred times when the battery system is discharged, and a complete discharge process is performed every 25 times when a discharge capacity is 90% or less of an initial capacity; if the discharge capacity is less than or equal to 85% of the initial capacity, a complete discharge process is performed every 10 times.
8. The battery life determination method according to any one of claims 6 or 7, wherein the discharge capacity ratios from the nth, N +10, and N +20 are compared if Q isN/Q0、QN+10/Q0、QN+20/Q0Are all less than 80%, and are considered end-of-life; and sending out early warning.
9. A battery life determination apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the battery life determination method according to any one of claims 1 to 8 when executing the computer program.
10. A vehicle characterized by comprising the battery life determination device according to claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011483903.1A CN112731167A (en) | 2020-12-16 | 2020-12-16 | Battery life judgment method and device and vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011483903.1A CN112731167A (en) | 2020-12-16 | 2020-12-16 | Battery life judgment method and device and vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112731167A true CN112731167A (en) | 2021-04-30 |
Family
ID=75602660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011483903.1A Pending CN112731167A (en) | 2020-12-16 | 2020-12-16 | Battery life judgment method and device and vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112731167A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1648048A2 (en) * | 2004-08-13 | 2006-04-19 | Ing. Büro M. Kyburz AG | Method for optimizing the cyclelife of traction batteries |
| CN102012485A (en) * | 2010-09-25 | 2011-04-13 | 张天任 | Method for fast detecting cycle life of lead-acid accumulator |
| US20160181833A1 (en) * | 2013-08-22 | 2016-06-23 | Hitachi, Ltd. | Charge/discharge control method and charge/discharge control apparatus for lithium ion battery |
| CN109541490A (en) * | 2018-11-16 | 2019-03-29 | 北汽福田汽车股份有限公司 | Life estimation method, system and the vehicle of battery |
| CN110208706A (en) * | 2019-06-13 | 2019-09-06 | 重庆长安新能源汽车科技有限公司 | A kind of power battery health status online evaluation system and method based on car networking |
| US20190317150A1 (en) * | 2016-12-09 | 2019-10-17 | Hyosung Heavy Industries Corporation | Method and apparatus for estimating lifespan of battery |
| CN111308374A (en) * | 2019-10-15 | 2020-06-19 | 江西恒动新能源有限公司 | Estimation method for SOH value of battery pack state of health |
| CN111717071A (en) * | 2020-07-16 | 2020-09-29 | 三一专用汽车有限责任公司 | Battery management method for electric vehicle, and storage medium |
-
2020
- 2020-12-16 CN CN202011483903.1A patent/CN112731167A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1648048A2 (en) * | 2004-08-13 | 2006-04-19 | Ing. Büro M. Kyburz AG | Method for optimizing the cyclelife of traction batteries |
| CN102012485A (en) * | 2010-09-25 | 2011-04-13 | 张天任 | Method for fast detecting cycle life of lead-acid accumulator |
| US20160181833A1 (en) * | 2013-08-22 | 2016-06-23 | Hitachi, Ltd. | Charge/discharge control method and charge/discharge control apparatus for lithium ion battery |
| US20190317150A1 (en) * | 2016-12-09 | 2019-10-17 | Hyosung Heavy Industries Corporation | Method and apparatus for estimating lifespan of battery |
| CN109541490A (en) * | 2018-11-16 | 2019-03-29 | 北汽福田汽车股份有限公司 | Life estimation method, system and the vehicle of battery |
| CN110208706A (en) * | 2019-06-13 | 2019-09-06 | 重庆长安新能源汽车科技有限公司 | A kind of power battery health status online evaluation system and method based on car networking |
| CN111308374A (en) * | 2019-10-15 | 2020-06-19 | 江西恒动新能源有限公司 | Estimation method for SOH value of battery pack state of health |
| CN111717071A (en) * | 2020-07-16 | 2020-09-29 | 三一专用汽车有限责任公司 | Battery management method for electric vehicle, and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 李广地等: "动力锂电池的寿命研究综述", 《电源技术》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021169486A1 (en) | Method, system and apparatus for monitoring battery impedance abnormality on basis of charging process | |
| US8519674B2 (en) | Method for estimating battery degradation in a vehicle battery pack | |
| US7856328B2 (en) | Systems, methods and circuits for determining potential battery failure based on a rate of change of internal impedance | |
| CN108196190B (en) | Online fault diagnosis method for battery pack | |
| WO2024060537A1 (en) | Method and system for early warning of abnormal self-discharge of battery, and electronic device and storage medium | |
| CN115951253A (en) | Method, system, device and medium for detecting battery health state | |
| CN112255559B (en) | Lithium battery energy storage power station residual life prediction method based on multiple linear regression | |
| CN113625181B (en) | Battery system performance detection method in battery replacement station, electronic equipment and storage medium | |
| SE1950652A1 (en) | Method for estimating state of health of a battery | |
| CN118214127B (en) | Charging current monitoring method and system based on data analysis | |
| CN112363061A (en) | Thermal runaway risk assessment method based on big data | |
| CN110806508A (en) | Data-based method for evaluating contact resistance change of high-voltage circuit | |
| CN115575842A (en) | Battery management method, device, electronic equipment and storage medium | |
| CN117214757A (en) | Lithium ion battery and battery pack health degree prediction method | |
| CN118288847A (en) | Intelligent monitoring method, device and equipment for battery and storage medium | |
| CN113093015A (en) | Battery life estimation method and device, battery management system, automobile and medium | |
| CN117595436A (en) | Flexible management system of battery pack | |
| CN108535653B (en) | Storage battery internal resistance estimation method and device | |
| CN113655398B (en) | Method for predicting circulating water jump of lithium battery | |
| CN118157285B (en) | Battery charging control method and device, electronic equipment and storage medium | |
| CN112731167A (en) | Battery life judgment method and device and vehicle | |
| CN113030756A (en) | Battery health degree evaluation method | |
| CN109557469B (en) | Storage battery nuclear capacity data analysis method and device | |
| CN113805085B (en) | Battery pack welding quality detection method and device, energy storage system and storage medium | |
| CN116908729A (en) | Method and device for identifying abnormal battery cells, server and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 100176 floor 10, building 1, zone 2, yard 9, Taihe 3rd Street, Beijing Economic and Technological Development Zone, Daxing District, Beijing Applicant after: Beijing National New Energy Vehicle Technology Innovation Center Co.,Ltd. Address before: 100089 1705 100176, block a, building 1, No. 10, Ronghua Middle Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing Applicant before: BEIJING NEW ENERGY VEHICLE TECHNOLOGY INNOVATION CENTER Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210430 |
|
| RJ01 | Rejection of invention patent application after publication |