CN108828461B - Power battery SOH value estimation method and system - Google Patents
Power battery SOH value estimation method and system Download PDFInfo
- Publication number
- CN108828461B CN108828461B CN201811119517.7A CN201811119517A CN108828461B CN 108828461 B CN108828461 B CN 108828461B CN 201811119517 A CN201811119517 A CN 201811119517A CN 108828461 B CN108828461 B CN 108828461B
- Authority
- CN
- China
- Prior art keywords
- charging
- capacity
- value
- battery
- electric quantity
- 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.)
- Active
Links
Images
Abstract
The invention discloses a power battery SOH value estimation method and a system, wherein the method comprises the following steps: step S1, determining to enter a slow charging mode; step S2, judging whether the SOC value before charging is corrected by OCV; if yes, step S3 is executed to obtain a first electric quantity correction value, where the first electric quantity correction value is an OCV-corrected SOC value; step S4, obtaining the cumulative discharge capacity from OCV correction to before charging; step S5, acquiring a first charge capacity after full charge; step S6, calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value; step S7, acquiring a preset initial capacity of the battery; and step S8, obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery. The method does not need to store a large amount of calibration data and perform laboratory estimation, can obtain the estimation parameters on line in the normal use process, and has simple process and higher accuracy.
Description
Technical Field
The invention relates to the field of new energy automobiles, in particular to a power battery SOH value estimation method and system.
Background
With the continuous attenuation of the capacity of the power battery in the use process, the difference of the consistency of the battery is gradually increased, and the SOH value of the battery pack of the pure electric vehicle is also continuously attenuated. During the driving of an electric vehicle, it is necessary to be able to estimate the state of health (SOH) of the battery pack to evaluate how much capacity of the battery pack remains to be effectively used. If the accuracy of the SOH is not high, the state of charge (SOC) of the battery is inaccurate, and the estimation error of the SOC is large, which may cause the electric vehicle to be forced to stop halfway due to insufficient electric quantity.
Although the SOH value of the battery can be obtained through a test in a laboratory, the SOH value of the battery cannot be directly obtained through a measurement mode because various conditions of the laboratory are not available in the actual use process of the battery, and if the battery of the electric vehicle is recycled to the laboratory for measuring the SOH value, a large amount of manpower and financial resources are wasted. At present, the domestic and foreign estimation of the SOH of the battery is mainly based on an estimation method of the battery capacity and the SOC or the internal resistance of the battery, but the SOH is not really and mature applied to products.
One of the existing methods: the SOH is (scrapped internal resistance of the single battery-actual internal resistance of the single battery)/(scrapped internal resistance of the single battery-factory internal resistance of the single battery);
another prior art approach: SOH-SOC 1Q 3+ Q2/Q1 100%, wherein Q1 is the total capacity of the battery pack at the time of shipment; the SOC1 is the state of charge of the lowest single-voltage single battery, the Q2 is the accumulated charged electric quantity of the lowest single-voltage single battery at the end of charging, and the Q3 is the actual available capacity of the lowest-voltage single battery at the moment.
As can be seen from the above, in the prior art, the SOH of the battery is mainly evaluated according to the SOC estimation value of the battery management system and the measured values of the cell voltage and the cell internal resistance of the battery pack, so the evaluation basis has limitations, and the evaluation method has strong dependence on the knowledge and experience level of the professional technicians.
Disclosure of Invention
The invention aims to provide a power battery SOH value estimation method and system, which can obtain a more accurate SOH value by combining actual use working conditions such as discharging and OCV correction in the battery charging process.
The technical scheme adopted by the invention is as follows:
a power battery SOH value estimation method comprises the following steps:
step S1, determining to enter a slow charging mode;
step S2, judging whether the SOC value before charging is corrected by open circuit voltage;
if yes, executing step S3 to obtain a first electric quantity correction value, where the first electric quantity correction value is an open-circuit voltage corrected SOC value;
step S4, acquiring the accumulated discharge capacity after the open-circuit voltage is corrected and before the charging;
step S5, acquiring a first charging capacity after full charge, wherein the first charging capacity is the total charging capacity of the current time;
step S6, calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value;
step S7, acquiring a preset initial capacity of the battery;
and step S8, obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery.
Optionally, the method further comprises:
if the output of the step S2 is no, executing step S30, and determining whether the current charging time is greater than a preset time threshold;
if yes, executing step S40, obtaining the lowest cell temperature and the lowest cell voltage;
step S50, inquiring a pre-calibrated SOC slow-charge correction table according to the lowest temperature and the lowest voltage of the single body to obtain a corresponding second electric quantity correction value;
step S60, correcting the current SOC value into a second electric quantity correction value;
step S70, acquiring a second charging capacity after the full charge, where the second charging capacity is a charging capacity charged from the second electric quantity correction value to the full charge;
step S80, calculating the actual capacity of the battery according to the second charging capacity and the second electric quantity correction value;
thereafter, step S7 and step S8 are sequentially executed.
Optionally, the method further comprises:
executing step S3' after step S3 to determine whether the first power correction value is less than or equal to a preset power threshold value;
if yes, go to step S4; if not, step S30 is executed.
Optionally, before step S3, the method further includes:
if the output of the step S2 is yes, executing step S2' to determine whether the ambient temperature during the open-circuit voltage correction is greater than or equal to a preset temperature threshold;
if yes, go to step S3; if not, step S30 is executed.
Optionally, step S1 specifically includes:
step S11, obtaining charging current after starting charging;
step S12, judging whether the charging current is in a preset current interval;
if yes, step 13 is executed to determine to enter the slow charging mode.
A power cell SOH value estimation system comprising:
the charging mode identification module is used for determining to enter a slow charging mode;
the open-circuit voltage correction judging module is used for judging whether the SOC value before charging is corrected by the open-circuit voltage;
the electric quantity correction value acquisition module is used for acquiring a first electric quantity correction value when the output of the open-circuit voltage correction judgment module is yes, wherein the first electric quantity correction value is an SOC value corrected by the open-circuit voltage;
the discharge capacity acquisition module is used for acquiring the accumulated discharge capacity from the corrected open-circuit voltage to the charging;
the charging capacity acquisition module is used for acquiring a first charging capacity after full charging, wherein the first charging capacity is the total charging capacity of the current time;
the actual capacity calculation module is used for calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value;
the battery initial capacity acquisition module is used for acquiring preset battery initial capacity;
and the SOH estimation module is used for obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery.
Optionally, the system further comprises:
the charging time detection module is used for judging whether the current charging time is greater than a preset time threshold value or not when the output of the open-circuit voltage correction judgment module is negative;
the single body information acquisition module is used for acquiring the lowest temperature and the lowest voltage of the single body when the output of the charging time detection module is yes;
the table look-up module is used for inquiring a pre-calibrated SOC slow-charge correction table according to the lowest temperature and the lowest voltage of the single body to obtain a corresponding second electric quantity correction value;
the slow charging correction module is used for correcting the current SOC value into a second electric quantity correction value;
the charging capacity obtaining module is further used for obtaining a second charging capacity after the charging is fully performed, wherein the second charging capacity is the charging capacity from the second electric quantity correction value to the full charging;
and the actual capacity calculation module is also used for calculating the actual capacity of the battery according to the second charging capacity and the second electric quantity correction value.
Optionally, the electric quantity correction value obtaining module is further configured to determine whether the first electric quantity correction value is less than or equal to a preset electric quantity threshold value.
Optionally, the open-circuit voltage correction determining module is further configured to determine whether an ambient temperature during open-circuit voltage correction is greater than or equal to a preset temperature threshold.
Optionally, the charging pattern recognition module specifically includes:
the charging current acquisition unit is used for acquiring charging current after charging is started;
the charging current detection unit is used for judging whether the charging current is in a preset current interval or not;
and the charging mode identification unit is used for determining to enter a slow charging mode when the output of the charging current detection unit is yes.
The corrected SOC value is determined in the charging process and is used as the basis for calculating the actual capacity of the battery, so that more accurate SOH estimation parameters are obtained.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a flowchart illustrating an SOH value estimation method for a power battery according to an embodiment of the present invention;
FIG. 2 is a flow chart of an embodiment of a power battery SOH value estimation method according to the present invention;
fig. 3 is a block diagram illustrating an embodiment of a system for estimating the SOH value of a power battery according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
The invention provides an embodiment of a power battery SOH value estimation method, as shown in FIG. 1, specifically comprising the following steps:
step S1, determining to enter a slow charging mode;
the charging of the power battery is divided into fast charging and slow charging, and the implementation of the invention aims at a slow charging mode with a more stable state, wherein the existing modes for identifying the fast charging or the slow charging are many, such as charging current, charging mode switch state, charging mode selection instruction and the like.
Step S2, judging whether the SOC value before charging is corrected by open circuit voltage;
after the start of charging, it is first determined whether OCV correction has been performed before, and it is usually determined by detecting the OCV correction flag. It should be noted that the OCV correction method is a conventional technique, and the present invention is not described in detail.
If yes, executing step S3 to obtain a first electric quantity correction value;
here, the first electric-quantity correction value is an SOC value corrected before the OCV correction.
Step S4, acquiring the accumulated discharge capacity after the open-circuit voltage is corrected and before the charging;
the cumulative discharge capacity may be a total amount of discharge from the OCV after the previous correction to the current charge one or more times, and it is understood that if the current charge is performed without discharge after the correction, the cumulative discharge capacity is considered to be 0. For example, when the user drives to a land and the SOC reaches 45%, the OCV correction is performed after the OCV correction condition is satisfied (for example, the user stays at a land for more than 1 hour, that is, the battery stays for more than 1 hour), and the SOC is corrected to 43%; the user drives on the ground away from the A ground to the B ground, and the SOC is reduced to 33% in the process; after a short dwell, the vehicle is driven from the point B to the point C, in which the SOC drops to 20%, and at the same time the user charges the battery slowly at the point C, and then discharges twice in total from the OCV correction to the point before the charge as described above.
Step S5, acquiring a first charge capacity after full charge;
here, the first charging capacity is a total charging capacity of the present time, that is, a total charging capacity obtained from the start of the present time until 100% of the charge amount is charged. It is also noted that full charge is one of the calculations underlying the present invention and that a charging process without full charge is not contemplated by the present invention.
Step S6, calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value;
as will be appreciated by those skilled in the art, the calculation method may be based on the following equation:
the actual battery capacity is (first charge capacity-accumulated discharge capacity)/(100% -first charge correction value); it can be seen that for the calculation of the actual capacity of the battery, the invention is based on finding an accurate calculation reference point, and the present embodiment takes the SOC value corrected by the OCV as a reference.
Step S7, acquiring a preset initial capacity of the battery;
the initial capacity of the battery is generally provided by a battery manufacturer or can be calculated through a bench test by a vehicle manufacturer and stored in a battery management system.
And step S8, obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery.
Those skilled in the art will appreciate that the estimation method can be based on the following equation:
SOH is battery actual capacity/battery initial capacity.
It should be noted that, in the above embodiment, the order of the above partial steps may be adjusted, and the step reference number S does not refer to a sequence, for example, the step S7 of obtaining the preset initial capacity of the battery may occur during the charging process, and even the whole obtaining related parameters and calculating process may occur after the battery is fully charged.
The corrected SOC value is determined in the charging process and is used as the basis for calculating the actual capacity of the battery, so that more accurate SOH estimation parameters are obtained.
Based on the above examples, the present invention also provides a more specific implementation manner, in which the related steps are exemplarily extended, but it should be noted that the extensions can be applied separately in other examples or can be summarized as a scheme as shown in fig. 2. The method specifically comprises the following steps:
step S11, obtaining charging current after starting charging;
step S12, judging whether the charging current is in a preset current interval;
if yes, executing step 13, and determining to enter a slow charging mode;
the three steps are to determine the charging mode by adopting a current identification mode, and the specific current interval can be adjusted, such as between 14A and 20A.
Step S2, judging whether the SOC value before charging is corrected by open circuit voltage;
if the output of the step S2 is yes, executing step S2' to determine whether the ambient temperature during the open-circuit voltage correction is greater than or equal to a preset temperature threshold;
since the ambient temperature has an influence on the accuracy of OCV correction, it is preferable to set a correction temperature threshold value to ensure that the subsequently obtained calculation parameters and results are more accurate, for example, 10 ℃.
If yes, go to step S3; if not, go to step S30;
step S3, acquiring a first electric quantity correction value;
step S3', determining whether the first power correction value is less than or equal to a preset power threshold;
similarly, in the aforementioned calculation manner, the error caused by the smaller error of the first electric quantity correction value used as the basis for calculation is smaller, so that in order to ensure more accurate calculation parameters and results obtained subsequently, the electric quantity value with larger error can be excluded, for example, the electric quantity threshold is set to be 50%.
If yes, go to step S4; if not, go to step S30;
step S4, acquiring the accumulated discharge capacity after the open-circuit voltage is corrected and before the charging;
step S5, acquiring a first charge capacity after full charge;
step S6, calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value;
step S7, acquiring a preset initial capacity of the battery;
and step S8, obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery.
If the outputs of the steps S2, S2 'and S3' are no, step S30 may be executed to determine whether the current charging time is greater than the preset time threshold;
if yes, executing step S40, obtaining the lowest cell temperature and the lowest cell voltage;
step S50, inquiring a pre-calibrated SOC slow-charge correction table according to the lowest temperature and the lowest voltage of the single body to obtain a corresponding second electric quantity correction value;
step S60, correcting the current SOC value into a second electric quantity correction value;
the above steps S30 to S40 indicate that if the OCV correction is not performed before the present charging or the OCV correction condition does not satisfy the accuracy requirement, the SOC may be corrected by slow charging during the charging process. The specific process is as above, it is ensured that the battery is charged for a certain time, for example, 30 minutes, on this basis, stable monomer information can be obtained under the charging condition, then the SOC value corresponding to the slow charging correction is obtained by looking up the table of the monomer information, the calibration of the SOC slow charging correction table is a conventional technology, and the details of the present invention are omitted.
Step S70, acquiring a second charge capacity after full charge;
the second charging capacity is a charging capacity charged to full charge from the second electric quantity correction value;
step S80, calculating the actual capacity of the battery according to the second charging capacity and the second electric quantity correction value;
the principle of the process is the same as that described above, and the invention is based on finding an accurate calculation reference point, and in this embodiment, if the condition related to OCV correction is not satisfied, the SOC after slow charge correction is used as a reference to obtain the relevant parameter. The foregoing step S7 and the foregoing step S8 are sequentially performed after the step S80, and the process is the same as the foregoing description, and will not be described again here.
Corresponding to the estimation method, the invention further provides a power battery SOH value estimation system, as shown in fig. 3, including:
a charging mode identification module for determining to enter a slow charging mode;
an open circuit voltage correction judging module for judging whether the SOC value before charging is corrected by the open circuit voltage;
the electric quantity correction value acquisition module is used for acquiring a first electric quantity correction value when the output of the open-circuit voltage correction judgment module is yes, wherein the first electric quantity correction value is an SOC value corrected by the open-circuit voltage;
a discharge capacity obtaining module for obtaining the accumulated discharge capacity after the open-circuit voltage is corrected and before the charging;
the charging capacity acquisition module is used for acquiring a first charging capacity after full charging, wherein the first charging capacity is the total charging capacity of the current time;
the actual capacity calculation module is used for calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value;
the battery initial capacity acquisition module is used for acquiring preset battery initial capacity; and
and the SOH estimation module is used for obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery.
In another system embodiment, the system may further comprise:
the charging time detection module is used for judging whether the current charging time is greater than a preset time threshold value or not when the output of the open-circuit voltage correction judgment module is negative;
the single body information acquisition module is used for acquiring the lowest temperature and the lowest voltage of the single body when the output of the charging time detection module is yes;
the table look-up module is used for inquiring a pre-calibrated SOC slow charge correction table according to the lowest temperature and the lowest voltage of the single body to obtain a corresponding second electric quantity correction value;
the slow charging correction module is used for correcting the current SOC value into a second electric quantity correction value;
the charging capacity obtaining module can be further used for obtaining a second charging capacity after the charging is fully performed, wherein the second charging capacity is the charging capacity charged from the second electric quantity correction value to the full charging; the actual capacity calculation module can be further used for calculating the actual capacity of the battery according to the second charging capacity and the second electric quantity correction value.
In other embodiments, the electric quantity correction value obtaining module may be further configured to determine whether the first electric quantity correction value is less than or equal to a preset electric quantity threshold value; the open-circuit voltage correction determination module may be further configured to determine whether an ambient temperature during open-circuit voltage correction is greater than or equal to a preset temperature threshold.
Furthermore, it is further contemplated that the aforementioned charging pattern recognition module may be constituted by: a charging current obtaining unit for obtaining a charging current after starting charging; a charging current detection unit for determining whether the charging current is within a predetermined current interval; and a charging mode identification unit for determining to enter a slow charging mode when the output of the charging current detection unit is yes.
In conclusion, the corrected SOC value is determined in the charging process and is used as the basis for calculating the actual capacity of the battery, so that the more accurate SOH estimation parameters are obtained.
Finally it is pointed out that the system embodiments of the invention can be implemented in existing hardware entities or in software modules running on one or more processors or in a combination of both hardware and software. The modules or units described in the embodiments may be combined into one module or unit, and may be further divided into a plurality of sub-modules or sub-units, which is not limited by the present invention.
The structure, features and effects of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the above embodiments are merely preferred embodiments of the present invention, and it should be understood that technical features related to the above embodiments and preferred modes thereof can be reasonably combined and configured into various equivalent schemes by those skilled in the art without departing from and changing the design idea and technical effects of the present invention; therefore, the invention is not limited to the embodiments shown in the drawings, and all the modifications and equivalent embodiments that can be made according to the idea of the invention are within the scope of the invention as long as they are not beyond the spirit of the description and the drawings.
Claims (10)
1. A power battery SOH value estimation method is characterized by comprising the following steps:
step S1, determining to enter a slow charging mode;
step S2, judging whether the SOC value before charging is corrected by open circuit voltage;
if yes, executing step S3 to obtain a first electric quantity correction value, where the first electric quantity correction value is an open-circuit voltage corrected SOC value;
step S4, acquiring the accumulated discharge capacity after the open-circuit voltage is corrected and before the charging;
step S5, acquiring a first charging capacity after full charge, wherein the first charging capacity is the total charging capacity of the current time;
step S6, calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value; wherein the actual battery capacity is (first charge capacity-accumulated discharge capacity)/(100% -first charge correction value);
step S7, acquiring a preset initial capacity of the battery;
step S8, obtaining the SOH value of the battery according to the actual capacity and the initial capacity of the battery;
if the result of the step S2 is no, or if the result of the step S2 is yes, but the ambient temperature during the open-circuit voltage correction is less than the preset temperature threshold or the first electric quantity correction value is greater than the preset electric quantity threshold, performing slow charge correction on the SOC by using a slow charge correction table, and using the SOC as a calculation reference for obtaining the SOH value of the battery, where the slow charge correction includes obtaining the SOC value corresponding to the slow charge correction by querying the slow charge correction table according to the cell information after the battery has been charged for a certain time.
2. The power battery SOH value estimation method according to claim 1, characterized in that the method further comprises:
if the output of the step S2 is no, executing step S30, and determining whether the current charging time is greater than a preset time threshold;
if yes, executing step S40, obtaining the lowest cell temperature and the lowest cell voltage;
step S50, inquiring a pre-calibrated SOC slow-charge correction table according to the lowest temperature and the lowest voltage of the single body to obtain a corresponding second electric quantity correction value;
step S60, correcting the current SOC value into a second electric quantity correction value;
step S70, acquiring a second charging capacity after the full charge, where the second charging capacity is a charging capacity charged from the second electric quantity correction value to the full charge;
step S80, calculating the actual capacity of the battery according to the second charging capacity and the second electric quantity correction value; the actual capacity of the battery is equal to second charging capacity/(100% -second electric quantity correction value);
thereafter, step S7 and step S8 are sequentially executed.
3. The power battery SOH value estimation method according to claim 2, characterized in that the method further comprises:
executing step S3' after step S3 to determine whether the first power correction value is less than or equal to a preset power threshold value;
if yes, go to step S4; if not, step S30 is executed.
4. The power battery SOH value estimation method according to claim 2, further comprising, before step S3:
if the output of the step S2 is yes, executing step S2' to determine whether the ambient temperature during the open-circuit voltage correction is greater than or equal to a preset temperature threshold;
if yes, go to step S3; if not, step S30 is executed.
5. The power battery SOH value estimation method according to any one of claims 1-4, wherein the step S1 specifically comprises:
step S11, obtaining charging current after starting charging;
step S12, judging whether the charging current is in a preset current interval;
if yes, step 13 is executed to determine to enter the slow charging mode.
6. A power cell SOH value estimation system, comprising:
the charging mode identification module is used for determining to enter a slow charging mode;
the open-circuit voltage correction judging module is used for judging whether the SOC value before charging is corrected by the open-circuit voltage;
the electric quantity correction value acquisition module is used for acquiring a first electric quantity correction value when the output of the open-circuit voltage correction judgment module is yes, wherein the first electric quantity correction value is an SOC value corrected by the open-circuit voltage;
the discharge capacity acquisition module is used for acquiring the accumulated discharge capacity from the corrected open-circuit voltage to the charging;
the charging capacity acquisition module is used for acquiring a first charging capacity after full charging, wherein the first charging capacity is the total charging capacity of the current time;
the actual capacity calculation module is used for calculating the actual capacity of the battery according to the first charging capacity, the accumulated discharging capacity and the first electric quantity correction value; wherein the actual battery capacity is (first charge capacity-accumulated discharge capacity)/(100% -first charge correction value);
the battery initial capacity acquisition module is used for acquiring preset battery initial capacity;
the SOH estimation module is used for obtaining a battery SOH value according to the actual capacity and the initial capacity of the battery;
if the output of the open-circuit voltage correction judging module is negative, or if the output of the open-circuit voltage correction judging module is positive but the ambient temperature during the open-circuit voltage correction is smaller than a preset temperature threshold or the first electric quantity correction value is larger than a preset electric quantity threshold, performing slow charge correction on the SOC by using a slow charge correction table, and taking the SOC as a calculation reference for obtaining the SOH value of the battery, wherein the slow charge correction mode comprises that after the battery is charged for a certain time, the SOC value corresponding to the slow charge correction is obtained by inquiring the slow charge correction table according to the information of the battery cell.
7. The power cell SOH value estimation system of claim 6, wherein the system further comprises:
the charging time detection module is used for judging whether the current charging time is greater than a preset time threshold value or not when the output of the open-circuit voltage correction judgment module is negative;
the single body information acquisition module is used for acquiring the lowest temperature and the lowest voltage of the single body when the output of the charging time detection module is yes;
the table look-up module is used for inquiring a pre-calibrated SOC slow-charge correction table according to the lowest temperature and the lowest voltage of the single body to obtain a corresponding second electric quantity correction value;
the slow charging correction module is used for correcting the current SOC value into a second electric quantity correction value;
the charging capacity obtaining module is further used for obtaining a second charging capacity after the charging is fully performed, wherein the second charging capacity is the charging capacity from the second electric quantity correction value to the full charging;
the actual capacity calculation module is also used for calculating the actual capacity of the battery according to the second charging capacity and the second electric quantity correction value; and the actual capacity of the battery is equal to the second charging capacity/(100% -a second electric quantity correction value).
8. The system of claim 7, wherein the charge correction value obtaining module is further configured to determine whether the first charge correction value is less than or equal to a preset charge threshold value.
9. The power battery SOH value estimation system of claim 7, wherein the open circuit voltage correction determination module is further configured to determine whether an ambient temperature at the time of open circuit voltage correction is greater than or equal to a preset temperature threshold.
10. The system for estimating the SOH value of the power battery according to any one of claims 6 to 9, wherein the charging pattern recognition module specifically comprises:
the charging current acquisition unit is used for acquiring charging current after charging is started;
the charging current detection unit is used for judging whether the charging current is in a preset current interval or not;
and the charging mode identification unit is used for determining to enter a slow charging mode when the output of the charging current detection unit is yes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811119517.7A CN108828461B (en) | 2018-09-25 | 2018-09-25 | Power battery SOH value estimation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811119517.7A CN108828461B (en) | 2018-09-25 | 2018-09-25 | Power battery SOH value estimation method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108828461A CN108828461A (en) | 2018-11-16 |
| CN108828461B true CN108828461B (en) | 2020-11-17 |
Family
ID=64149502
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811119517.7A Active CN108828461B (en) | 2018-09-25 | 2018-09-25 | Power battery SOH value estimation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108828461B (en) |
Families Citing this family (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109507611B (en) * | 2018-11-22 | 2020-07-28 | 安徽江淮汽车集团股份有限公司 | SOH correction method and system for electric vehicle |
| CN109856548B (en) * | 2018-12-19 | 2020-07-28 | 安徽江淮汽车集团股份有限公司 | Power battery capacity estimation method |
| CN110376536B (en) * | 2019-08-05 | 2021-11-05 | 桑顿新能源科技(长沙)有限公司 | SOH detection method and device for battery system, computer equipment and storage medium |
| CN112394290A (en) * | 2019-08-16 | 2021-02-23 | 桑顿新能源科技(长沙)有限公司 | Method and device for estimating SOH of battery pack, computer equipment and storage medium |
| CN110361664A (en) * | 2019-08-23 | 2019-10-22 | 清华四川能源互联网研究院 | Battery detection method, battery monitoring device and charging equipment |
| CN110579718A (en) * | 2019-09-03 | 2019-12-17 | 北京海博思创科技有限公司 | method and device for acquiring SOH (state of health) of battery and battery pack |
| CN112782601A (en) * | 2019-11-05 | 2021-05-11 | 奥动新能源汽车科技有限公司 | Method, system and equipment for acquiring health degree of battery and readable storage medium |
| CN110850313A (en) * | 2019-11-14 | 2020-02-28 | 宁波德晶元科技有限公司 | Lithium battery charging and discharging electric quantity display method and system |
| CN110861533B (en) * | 2019-11-25 | 2021-08-27 | 安徽江淮汽车集团股份有限公司 | Electric vehicle SOH estimation method and device and storage medium |
| CN112213659B (en) * | 2020-01-20 | 2023-10-13 | 蜂巢能源科技有限公司 | Battery capacity correction method and test system |
| CN111366865B (en) * | 2020-03-25 | 2023-04-21 | 松下电器机电（中国）有限公司 | Calculation method for battery health degree |
| CN111537901B (en) * | 2020-04-09 | 2022-06-17 | 浙江南都电源动力股份有限公司 | Battery power state measuring and calculating method, battery pack and vehicle |
| CN112731187A (en) * | 2020-12-25 | 2021-04-30 | 广西宁达汽车科技有限公司 | Battery capacity correction method and battery management system |
| CN113002363B (en) * | 2021-03-03 | 2023-03-17 | 一汽解放汽车有限公司 | Method and device for correcting battery charge, vehicle and medium |
| CN113097582B (en) * | 2021-03-30 | 2022-07-12 | 阳光储能技术有限公司 | Method and device for estimating SOH value of battery monomer |
| CN113687249A (en) * | 2021-08-31 | 2021-11-23 | 南京盛腾汽车科技有限责任公司 | Battery SOC and SOH correction system, method, computer device and computer-readable storage medium |
| EP4231484A4 (en) * | 2021-09-08 | 2024-03-27 | Contemporary Amperex Technology Co Ltd | Power battery charging method and battery management system |
| CN113866655A (en) * | 2021-09-27 | 2021-12-31 | 北京理工新源信息科技有限公司 | Power battery capacity assessment method fusing vehicle networking operation data and test data |
| CN114035049A (en) * | 2021-11-08 | 2022-02-11 | 东软睿驰汽车技术（沈阳）有限公司 | SOH precision calculation method and device and electronic equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103197257A (en) * | 2013-04-03 | 2013-07-10 | 华为技术有限公司 | Method and device for detecting state of health (SOH) of battery |
| CN107742755A (en) * | 2017-09-27 | 2018-02-27 | 安徽江淮汽车集团股份有限公司 | Electric automobile SOH modification methods and device |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004226B (en) * | 2010-09-30 | 2013-06-05 | 中山大学 | Pure electrical vehicle battery pack state-of-charge (SOC) estimation device and method |
| CN102230953B (en) * | 2011-06-20 | 2013-10-30 | 江南大学 | Method for predicting left capacity and health status of storage battery |
| CN102445663B (en) * | 2011-09-28 | 2014-04-02 | 哈尔滨工业大学 | Method for estimating battery health of electric automobile |
| US9146280B2 (en) * | 2011-10-26 | 2015-09-29 | Industrial Technology Research Institute | Method and system for estimating a capacity of a battery |
| CN102856601A (en) * | 2012-08-22 | 2013-01-02 | 杭州杰能动力有限公司 | Method and system for adjusting real-time battery capacity during automobile charging and electric automobile |
| CN102903976B (en) * | 2012-09-27 | 2015-09-09 | 惠州市亿能电子有限公司 | A kind of pure electric automobile charging process SOC modification method |
| CN103048626B (en) * | 2012-12-17 | 2015-04-15 | 惠州市亿能电子有限公司 | Method for accurately estimating SOC (State of Charge) |
| CN104007390B (en) * | 2013-02-24 | 2018-03-20 | 快捷半导体(苏州)有限公司 | Battery state of charge tracking, equivalent circuit selection and reference test method and system |
| CN106291378B (en) * | 2016-08-15 | 2018-11-27 | 金龙联合汽车工业（苏州）有限公司 | A kind of measuring method of electric automobile power battery SOH |
| US10302709B2 (en) * | 2016-11-30 | 2019-05-28 | Cadex Electronics Inc. | Battery state-of-health determination using multi-factor normalization |
-
2018
- 2018-09-25 CN CN201811119517.7A patent/CN108828461B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103197257A (en) * | 2013-04-03 | 2013-07-10 | 华为技术有限公司 | Method and device for detecting state of health (SOH) of battery |
| CN107742755A (en) * | 2017-09-27 | 2018-02-27 | 安徽江淮汽车集团股份有限公司 | Electric automobile SOH modification methods and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108828461A (en) | 2018-11-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108828461B (en) | Power battery SOH value estimation method and system | |
| CN108732503B (en) | Method and device for detecting battery health state and battery capacity | |
| KR102452548B1 (en) | Apparatus for determination battery degradation, system having the same and method thereof | |
| KR100970841B1 (en) | Apparatus and Method for estimating battery's state of health based on battery voltage variation pattern | |
| JP5442583B2 (en) | State detection device for power supply and power supply device | |
| CN105021996A (en) | Battery SOH (section of health) estimation method of energy storage power station BMS (battery management system) | |
| US10845417B2 (en) | Battery state estimation device, battery control device, battery system, battery state estimation method | |
| CN106908741B (en) | SOH estimation method and device for power battery pack of hybrid electric vehicle | |
| CN112986842B (en) | Method, device and equipment for estimating state of charge of battery | |
| CN110988702B (en) | Battery available capacity determination method, device, management system and storage medium | |
| CN109031133B (en) | SOC correction method of power battery | |
| CN113131012B (en) | Determination method and device for SOC estimation precision and storage medium | |
| KR20160004077A (en) | Method and apparatus for estimating state of battery | |
| CN108227817B (en) | Power battery power state control method, device and equipment | |
| JP5535968B2 (en) | CHARGE RATE ESTIMATION DEVICE, CHARGE RATE ESTIMATION METHOD, AND PROGRAM | |
| WO2021258657A1 (en) | Method and apparatus for acquiring state of health of battery, and storage medium | |
| CN111308374A (en) | Estimation method for SOH value of battery pack state of health | |
| CN113093027B (en) | Battery SOC calibration method, device, system, medium and program product | |
| US20190113578A1 (en) | Method and device for predicting battery life | |
| CN112858924A (en) | Method and device for estimating residual energy of power battery, vehicle and storage medium | |
| CN114035083A (en) | Method, device and system for calculating total capacity of battery and storage medium | |
| JP7388964B2 (en) | Secondary battery equipment and secondary battery system | |
| CN110988701B (en) | Battery available energy determination method, device, management system and storage medium | |
| CN112394290A (en) | Method and device for estimating SOH of battery pack, computer equipment and storage medium | |
| CN109633451B (en) | Energy storage system self-track parameter calibration method and SOC estimation method |
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: 230601 No. 99 Ziyun Road, Hefei Economic and Technological Development Zone, Anhui Province Applicant after: Anhui Jianghuai Automobile Group Limited by Share Ltd Address before: 230601 No. 669 Shixin Road, Taohua Industrial Park, Hefei City, Anhui Province Applicant before: Anhui Jianghuai Automobile Group Limited by Share Ltd |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |