CN117630709A - Battery health state determining method and system - Google Patents
Battery health state determining method and system Download PDFInfo
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- CN117630709A CN117630709A CN202311355708.4A CN202311355708A CN117630709A CN 117630709 A CN117630709 A CN 117630709A CN 202311355708 A CN202311355708 A CN 202311355708A CN 117630709 A CN117630709 A CN 117630709A
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- 238000000034 method Methods 0.000 title claims abstract description 96
- 230000036541 health Effects 0.000 title claims description 239
- 238000012937 correction Methods 0.000 claims abstract description 38
- 238000007600 charging Methods 0.000 claims abstract description 33
- 230000008569 process Effects 0.000 claims abstract description 32
- 238000010277 constant-current charging Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 10
- 230000007774 longterm Effects 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 10
- 230000003862 health status Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 4
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 3
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- 229910001416 lithium ion Inorganic materials 0.000 description 3
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Abstract
The application provides a SOH determination method and a SOH determination system, wherein the method comprises the following steps: acquiring the current accumulated charge amount of the battery in the charging process; judging whether the battery needs SOH correction or not based on the current accumulated charge amount; determining a first SOH based on a current accumulated charge amount when the battery needs SOH correction; determining a second SOH from the relevant external characteristics of the battery; judging whether the second SOH is matched with the first SOH or not; when the second SOH matches the first SOH, the second SOH is determined as the target SOH. Therefore, the method and the system can perform joint estimation based on a plurality of SOHs, so that the estimation accuracy, robustness and reliability of the SOHs are improved, and further estimation of the service life and the endurance mileage of the battery and estimation of the state of charge (SOC) of the corrected power battery in the long-term use process of the electric automobile are facilitated.
Description
Technical Field
The application relates to the technical field of battery health management, in particular to a battery health state determining method and system.
Background
Currently, lithium ion battery state of health (SOH) is an important performance index in an electric vehicle battery management system BMS, so that it is necessary to evaluate the state of health of the lithium ion battery. However, in the prior art, the evaluation methods for the state of health of the battery are mainly classified into the following two types:
the first is to estimate the state of health of the battery according to the relationship between the accumulated charge/discharge amount of the battery and the state of health of the battery;
and the second method is to extract the characteristics related to the battery health state according to the charging curve or the OCV curve, so as to estimate the battery health state, including the increment capacity/differential voltage, equivalent internal resistance and the like.
In the event, the first method is an open loop method, which has high requirements on the consistency of the battery cells and cannot identify the situation when the characteristics of the battery cells are abnormally changed in the use process; and the second method is influenced by the external environment such as the current temperature, the multiplying power and the like, so that the estimated battery health state has errors.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and a system for determining a battery state of health, which can perform joint estimation based on a plurality of battery states of health, so as to improve the accuracy, robustness and reliability of the estimation of the battery state of health, and further facilitate the estimation of battery life and endurance mileage and the estimation of correcting the state of charge SOC of a power battery in the long-term use process of an electric vehicle.
The first aspect of the application provides a battery health status determining method, which comprises the following steps:
acquiring the current accumulated charge amount of the battery in the charging process;
judging whether the battery needs to carry out battery health state correction or not based on the current accumulated charge quantity;
when the battery needs to be subjected to battery health state correction, determining a first battery health state based on the current accumulated charge amount;
determining a second battery state of health from the relevant external characteristics of the battery;
judging whether the second battery health state is matched with the first battery health state;
and determining the second battery state of health as a target battery state of health when the second battery state of health matches the first battery state of health.
Further, the step of determining whether the battery needs to perform battery state of health correction based on the current accumulated charge amount includes:
acquiring an integral charge accumulated charge amount;
judging whether the absolute value of the difference between the current accumulated charge amount and the full charge accumulated charge amount is larger than a preset difference threshold value;
and when the absolute value of the difference is larger than the preset difference threshold, determining that the battery needs to be subjected to battery health state correction.
Further, the method further comprises:
when the battery does not need to be subjected to battery health state correction, calculating a reference battery health state based on the current accumulated charge amount and the rated battery power;
and determining the reference battery state of health as a target battery state of health.
Further, the step of determining the first battery state of health based on the current accumulated charge comprises:
acquiring a first relation calibration table of the accumulated charge quantity and the battery health state;
and searching a first battery health state corresponding to the current accumulated charge in the first relation calibration table.
Further, the step of determining the second battery state of health from the relevant external characteristics of the battery comprises:
obtaining a constant current charging curve, a voltage rebound curve and an OCV curve of the battery in the charging process;
calculating through the constant current charging curve, the voltage rebound curve and the OCV curve to obtain relevant external characteristics; the related external characteristics are the ratio of the increment capacity to the differential voltage, the ratio of the increment capacity to the increment SOC or the equivalent internal resistance of charging;
acquiring a second relation calibration table of the related external characteristics and the battery health state;
and searching a second battery health state corresponding to the related external characteristic in the second relation calibration table.
Further, the step of determining whether the second battery state of health matches the first battery state of health includes:
determining an accuracy range corresponding to the first battery state of health according to the first battery state of health;
judging whether the second battery state of health is in the accuracy range;
when the second battery state of health is within the accuracy range, determining that the second battery state of health matches the first battery state of health.
Further, the method further comprises:
and when the second battery state of health does not match the first battery state of health, determining the first battery state of health as a target battery state of health.
A second aspect of the present application provides a battery state of health determination system, comprising:
an acquisition unit for acquiring a current accumulated charge amount of the battery in the current charging process;
a first judging unit configured to judge whether the battery needs to perform battery state of health correction based on the current accumulated charge amount;
a first determining unit configured to determine a first battery state of health based on the current accumulated charge amount when the battery needs to be subjected to battery state of health correction;
a second determining unit for determining a second battery state of health from the relevant external characteristics of the battery;
a second judging unit, configured to judge whether the second battery state of health matches the first battery state of health;
and a third determining unit configured to determine the second battery state of health as a target battery state of health when the second battery state of health matches the first battery state of health.
Further, the first judging unit includes:
a first acquisition subunit configured to acquire an integral charge accumulated charge amount;
a first judging subunit, configured to judge whether an absolute value of a difference between the current accumulated charge amount and the full charge accumulated charge amount is greater than a preset difference threshold;
and the first determination subunit is used for determining that the battery needs to be subjected to battery health state correction when the absolute value of the difference value is larger than the preset difference value threshold value.
Further, the battery state of health determination system further includes:
a calculation unit configured to calculate a reference battery state of health based on the current accumulated charge amount and a rated battery power amount when the battery is not required to be subjected to battery state of health correction;
the third determining unit is further configured to determine the reference battery state of health as a target battery state of health.
Further, the first determination unit includes:
the second acquisition subunit is used for acquiring a first relation calibration table of the accumulated charge quantity and the battery health state;
and the first searching subunit is used for searching a first battery health state corresponding to the current accumulated charge amount in the first relation calibration table.
Further, the second determining unit includes:
the third acquisition subunit is used for acquiring a constant current charging curve, a voltage rebound curve and an OCV curve of the battery in the charging process;
the calculating subunit is used for calculating through the constant current charging curve, the voltage rebound curve and the OCV curve to obtain relevant external characteristics; the related external characteristics are the ratio of the increment capacity to the differential voltage, the ratio of the increment capacity to the increment SOC or the equivalent internal resistance of charging;
the third obtaining subunit is further configured to obtain a second relationship calibration table of the related external feature and the battery health status;
and the second searching subunit is used for searching a second battery health state corresponding to the related external characteristic in the second relation calibration table.
Further, the second judging unit includes:
a second determining subunit, configured to determine an accuracy range corresponding to the first battery state of health according to the first battery state of health;
a second judging subunit configured to judge whether the second battery state of health is in the accuracy range;
the second determining subunit is further configured to determine that the second battery state of health matches the first battery state of health when the second battery state of health is within the accuracy range.
Further, the third determining unit is further configured to determine the first battery state of health as a target battery state of health when the second battery state of health does not match the first battery state of health.
A third aspect of the present application provides an electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the method of determining the state of health of a battery of any of the first aspects of the present application.
A fourth aspect of the present application provides a computer readable storage medium storing computer program instructions which, when read and executed by a processor, perform the method of determining the state of health of a battery of any of the first aspects of the present application.
The beneficial effects of this application are: the method and the system can perform joint estimation based on a plurality of battery health states, so that the estimation accuracy, robustness and reliability of the battery health states are improved, and further estimation of the service life and the endurance mileage of the battery and estimation of the state of charge (SOC) of the correction power battery in the long-term use process of the electric automobile are facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for determining a battery state of health according to an embodiment of the present application;
fig. 2 is a flowchart of another method for determining a battery state of health according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a battery state of health determining system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another battery state of health determination system according to an embodiment of the present disclosure;
fig. 5 is a schematic flow chart of an example of a method for determining a battery state of health according to an embodiment of the present application;
fig. 6 is a schematic block diagram of an exemplary battery state of health determination system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1
Referring to fig. 1, fig. 1 is a flowchart of a method for determining a battery state of health according to the present embodiment. The battery health state determining method comprises the following steps:
s101, acquiring the current accumulated charge of the battery in the charging process.
S102, judging whether the battery needs to be subjected to battery health state correction or not based on the current accumulated charge amount, and if yes, executing step S103.
In this embodiment, when the battery is not required to perform battery state of health correction, a reference battery state of health is calculated based on the current accumulated charge amount and the rated battery power; the reference battery state of health is determined as the target battery state of health.
S103, determining the first battery health state based on the current accumulated charge amount.
S104, determining the second battery health state through the relevant external characteristics of the battery.
S105, judging whether the second battery health state is matched with the first battery health state, if so, executing the step S106.
In this embodiment, when the second battery state of health does not match the first battery state of health, the first battery state of health is determined to be the target battery state of health.
S106, determining the second battery health state as the target battery health state.
In the present embodiment, the battery state of health is represented by the capacity ratio of the storage capacity loss at the present time, and the reference battery state of health SOH cap Can be defined as:
wherein C is rated Rated value is battery rated capacity, C now Is the current maximum capacity of the battery.
In the present embodiment, c now May be the maximum charge capacity or the maximum discharge capacity.
In this embodiment, the present application proposes a method and a system for estimating a health state of a lithium ion battery, where a maximum chargeable electric quantity is obtained through a complete one-time charging process, and SOH obtained through the maximum chargeable electric quantity/rated electric quantity is used as a reference SOH and used as an accuracy index; the pre-calibrated accumulated charge amount-SOH relation table is used as a first SOH and used for correcting the SOH in the actual application scene; the SOH obtained by the external feature is used as a second SOH, and is determined as a final target SOH under the condition of meeting the accuracy of the first SOH. According to the method, the battery health state is estimated in a combined mode through the reference SOH, the first SOH and the second SOH, and the method has good accuracy, robustness and reliability.
In this embodiment, the execution subject of the method may be a computing system such as a computer or a server, which is not limited in this embodiment.
In this embodiment, the execution body of the method may be an intelligent device such as a smart phone or a tablet computer, which is not limited in this embodiment.
Therefore, by implementing the method for determining the battery state of health described in the embodiment, joint estimation can be performed based on a plurality of battery states of health, so that the accuracy, robustness and reliability of estimation of the battery state of health are improved, and further estimation of the battery life and the endurance mileage and estimation of the state of charge (SOC) of the corrected power battery in the long-term use process of the electric automobile are facilitated.
Example 2
Referring to fig. 2, fig. 2 is a flowchart of a battery state of health determining method according to the present embodiment. The battery health state determining method comprises the following steps:
s201, acquiring the current accumulated charge of the battery in the charging process.
In this embodiment, the current accumulated charge of the battery may be obtained in real time from the BMS.
S202, acquiring the integral charge accumulated charge amount.
S203, judging whether the absolute value of the difference between the current accumulated charge amount and the full charge accumulated charge amount is larger than a preset difference threshold value, if so, executing a step S206; if not, steps S204 to S205 are executed.
In this embodiment, when the absolute value of the difference is greater than the preset difference threshold, it is determined that the battery needs to perform battery state of health correction.
In this embodiment, when the absolute value of the difference is not greater than the preset difference threshold, it is determined that the battery does not need to perform the battery state of health correction.
S204, calculating the reference battery health state based on the current accumulated charge amount and the rated battery power.
S205, determining the reference battery state of health as the target battery state of health, and ending the flow.
In this embodiment, according to the definition of SOH in embodiment 1, when the battery is charged once, that is, full charge, the maximum charge capacity in the current period can be obtained, and then the SOH of the current battery state of health can be obtained according to the ratio of the maximum charge capacity to the rated capacity, as the reference SOH, which is an accuracy index. Meanwhile, the accumulated charge amount at this time is recorded as the accumulated charge amount after the complete charge.
In this embodiment, the electric vehicle cannot always be fully charged due to different usage habits of the vehicle owners and different cut-off condition settings of the charging piles under actual use conditions. Therefore, the determination of the target SOH by only the reference SOH may cause the estimated variability due to the difference in use cases.
Based on this, the present application corrects SOH by the accumulated charge amount and the relevant external characteristics that are easier to obtain. When the time interval between two health status updates is short, it may happen that the latest aging situation is lighter than the aging situation at the last evaluation. Therefore, the SOH correction conditions described above are set.
Specifically, the SOH correction condition is determined by the following formula:
ΔQ＝Q 2 -Q 1 ；
wherein Q is 2 To the current accumulated charge amount, Q 1 And (3) accumulating the charge amount after the complete charge, and comparing the delta Q with a preset threshold condition, wherein when the delta Q is larger than a certain threshold value, the SOH correction is considered to be needed.
S206, acquiring a first relation calibration table of the accumulated charge quantity and the battery health state.
S207, searching a first battery health state corresponding to the current accumulated charge in a first relation calibration table.
In this embodiment, when the correction condition is satisfied, the accumulated charge amount-SOH relation table calibrated in advance is queried according to the current accumulated charge amount, and the first SOH is acquired.
In this embodiment, when the correction condition is satisfied, the method acquires the second SOH through the relevant external feature at the same time.
S208, a constant-current charging curve, a voltage rebound curve and an OCV curve of the battery in the charging process are obtained.
S209, calculating through a constant current charging curve, a voltage rebound curve and an OCV curve to obtain relevant external characteristics.
In this embodiment, the relevant external characteristics are the ratio of the incremental capacity to the differential voltage, the ratio of the incremental capacity to the incremental SOC, or the charging equivalent internal resistance.
S210, acquiring a second relation calibration table of the related external characteristics and the battery health state.
S211, searching a second battery health state corresponding to the relevant external characteristic in a second relation calibration table.
In this embodiment, the relevant external features may be features obtained by calculation through a constant current charging curve, a voltage rebound curve, an OCV curve, and the like. Specifically, the relevant external characteristic may be a characteristic amount having a strong correlation with SOH, such as an incremental capacity/differential voltage, an incremental capacity/incremental SOC, and an equivalent internal resistance.
For example, the method can charge the equivalent internal resistance R c The second SOH is calculated as follows:
R c ＝(U c -U ocvc )/I c
wherein U is c For the terminal voltage of the battery when the battery is charged and loaded, called charging working voltage, U ocvc For the terminal voltage of the battery after sufficient rest, called the charge open circuit voltage, I c The current is monitored in real time in the charging process. At this time, the second SOH may be obtained according to a pre-calibrated charging equivalent internal resistance-SOH correspondence.
It can be understood that the method needs to perform calibration work of the new battery and store calibration data when acquiring the corresponding relation of the related external features-SOH. For example, a plurality of new batteries of the same model can be selected, subjected to a cyclic charge-discharge aging experiment under a certain temperature condition and a certain multiplying power, periodically evaluated, related external characteristics such as increment capacity/differential voltage, charging equivalent resistance and the like are obtained through an OCV curve, a charging curve and the like, and then the maximum available charging electric quantity is obtained through a complete charging process, so that the relation between the current SOH and the related external characteristics is calculated. Because of the limitations of the test samples and the preset conditions, the battery SOH and the related external characteristic relationship can be obtained by expanding the methods such as linear interpolation, curve fitting or machine learning, and the like, which are not described in detail in the present application.
The above embodiment is implemented because there are various problems in that there are limited cell samples for testing when the accumulated charge-SOH relationship table is calibrated, there is a possibility that the data of the sample cell may differ from the actual cell, and it is impossible to identify the situation when the cell characteristics are abnormally changed during use. This may result in an inability to accurately reflect the actual state of health of the on-board battery through the accumulated charge-SOH relationship table. Based on this, the method specifically proposes a method for determining a target SOH value in combination with a first SOH obtained by calibration and a second SOH estimated in real time.
S212, determining an accuracy range corresponding to the first battery health state according to the first battery health state.
S213, judging whether the second battery health state is in the accuracy range, if so, executing a step S214; if not, step S215 is performed.
In this embodiment, there may be some differences in the relevant external features due to the influence of the external environment such as the current temperature, the magnification, etc., so that there is an error in SOH obtained by the relevant external features. Therefore, the method judges whether the second SOH meets the accuracy condition of the first SOH according to the accuracy range specified by the first SOH.
In this embodiment, the preset first SOH range may be a numerical range (corresponding to an accuracy range), and if the value of the second SOH is within the numerical range, it is indicated that the second SOH satisfies the preset first SOH range, and the target SOH of the battery is determined by the second SOH. And otherwise, the second SOH does not meet the preset first SOH range, and the target SOH of the battery is determined through the first SOH. Illustratively, a first SOH range pairThe corresponding value interval may be SOH 1，MIN ，SOH 1，MAX ]Wherein, the lower limit value SOH of the numerical value interval 1，MIN And an upper limit value SOH 1，MAX The calibration may be based on test sample conditions in combination with experience.
S214, determining the second battery health state as the target battery health state, and ending the process.
S215, determining the first battery health state as the target battery health state.
Referring to fig. 5, an exemplary flow chart of a method for determining a state of health of a battery is shown in fig. 5.
Among them, S10, S20, S50, S60, S70 are indispensable; s10, judging whether SOH correction is carried out, S20, after a complete charging process is carried out, obtaining a reference SOH, and updating and determining the reference SOH as a target SOH; s50, judging whether the second SOH meets the accuracy condition of the first SOH; s60, determining the second SOH as a target SOH by the first SOH when the second SOH does not meet the first SOH accuracy condition; s70 is determining by the second SOH as the target SOH when the second SOH satisfies the first SOH accuracy condition. Meanwhile, S30, S40 may be substituted; s30, inquiring a pre-calibrated accumulated charge-SOH relation table according to the current accumulated charge to acquire a first SOH.
In this embodiment, the current accumulated charge may be replaced by the current accumulated discharge, and only the calibrated accumulated discharge-SOH relationship table needs to be obtained accordingly. In S40, the second SOH is obtained by using an external feature, which is exemplified by calculating the second SOH by charging the equivalent internal resistance by using a related external feature, and the related external feature may be a feature quantity having a strong correlation with the SOH, such as an incremental capacity/differential voltage, an incremental capacity/incremental SOC, and an equivalent internal resistance, which is generally obtained by calculating a constant current charging curve, a voltage rebound curve, an OCV curve, and the like.
In this embodiment, the execution subject of the method may be a computing system such as a computer or a server, which is not limited in this embodiment.
In this embodiment, the execution body of the method may be an intelligent device such as a smart phone or a tablet computer, which is not limited in this embodiment.
Therefore, by implementing the method for determining the state of health of the battery described in this embodiment, the maximum chargeable electric quantity can be obtained through a complete charging process, and the SOH obtained through the maximum chargeable electric quantity/rated electric quantity is used as a reference SOH and used as an accuracy index; when the difference between the accumulated charge and the accumulated charge after the last complete charge is greater than a certain threshold value during a period of vehicle use, determining that correction is needed; at this time, the pre-calibrated accumulated charge-SOH relationship table is used as a first SOH, and is used for correcting the SOH in the actual application scene, the SOH obtained through the external features is used as a second SOH, and the final target SOH is determined under the condition of meeting the accuracy of the first SOH. According to the method, the battery state of health is estimated in a combined mode through the reference SOH, the first SOH and the second SOH, the method has good accuracy, robustness and reliability, and accurate SOH estimation is beneficial to estimating the service life and the endurance mileage of the battery and correcting the estimation of the state of charge (SOC) of the power battery and the like in the long-term use process of the electric automobile.
Example 3
Referring to fig. 3, fig. 3 is a schematic structural diagram of a battery state of health determining system according to the present embodiment. As shown in fig. 3, the battery state of health determination system includes:
an acquisition unit 310 for acquiring a current accumulated charge amount of the battery during the present charging process;
a first judging unit 320 for judging whether the battery needs to perform battery health state correction based on the current accumulated charge amount;
a first determining unit 330 for determining a first battery state of health based on a current accumulated charge amount when the battery needs to be subjected to battery state of health correction;
a second determining unit 340 for determining a second battery state of health from the relevant external characteristics of the battery;
a second judging unit 350, configured to judge whether the second battery state of health matches the first battery state of health;
the third determining unit 360 is configured to determine the second battery state of health as the target battery state of health when the second battery state of health matches the first battery state of health.
In this embodiment, the explanation of the battery state of health determination system may refer to the description in embodiment 1 or embodiment 2, and the description is not repeated in this embodiment.
Therefore, by implementing the battery state of health determining system described in the embodiment, joint estimation can be performed based on a plurality of battery states of health, so that the accuracy, robustness and reliability of the estimation of the battery state of health are improved, and further the estimation of the battery life and the endurance mileage and the estimation of the state of charge (SOC) of the correction power battery in the long-term use process of the electric automobile are facilitated.
Example 4
Referring to fig. 4, fig. 4 is a schematic structural diagram of a battery state of health determining system according to the present embodiment. As shown in fig. 4, the battery state of health determination system includes:
an acquisition unit 310 for acquiring a current accumulated charge amount of the battery during the present charging process;
a first judging unit 320 for judging whether the battery needs to perform battery health state correction based on the current accumulated charge amount;
a first determining unit 330 for determining a first battery state of health based on a current accumulated charge amount when the battery needs to be subjected to battery state of health correction;
a second determining unit 340 for determining a second battery state of health from the relevant external characteristics of the battery;
a second judging unit 350, configured to judge whether the second battery state of health matches the first battery state of health;
the third determining unit 360 is configured to determine the second battery state of health as the target battery state of health when the second battery state of health matches the first battery state of health.
As an alternative embodiment, the first judging unit 320 includes:
a first acquisition subunit 321 configured to acquire an entire charge accumulated amount;
a first judging subunit 322, configured to judge whether an absolute value of a difference between the current accumulated charge amount and the full charge accumulated charge amount is greater than a preset difference threshold;
the first determining subunit 323 is configured to determine that the battery needs to perform the battery state of health correction when the absolute value of the difference is greater than the preset difference threshold.
As an alternative embodiment, the battery state of health determination system further includes:
a calculating unit 370 for calculating a reference battery state of health based on the current accumulated charge amount and the rated battery power when the first judging unit 320 judges that the battery is not required to be subjected to battery state of health correction;
the third determining unit 360 is further configured to determine the reference battery state of health as the target battery state of health.
As an alternative embodiment, the first determining unit 330 includes:
a second obtaining subunit 331, configured to obtain a first relationship calibration table of the accumulated charge amount and the battery health status;
the first searching subunit 332 is configured to search the first relationship calibration table for a first battery health status corresponding to the current accumulated charge.
As an alternative embodiment, the second determining unit 340 includes:
a third obtaining subunit 341, configured to obtain a constant current charging curve, a voltage rebound curve, and an OCV curve of the battery during the charging process;
a calculating subunit 342, configured to calculate through the constant current charging curve, the voltage rebound curve, and the OCV curve, and obtain relevant external features; the related external characteristics are the ratio of the increment capacity to the differential voltage, the ratio of the increment capacity to the increment SOC or the equivalent internal resistance of charging;
the third obtaining subunit 341 is further configured to obtain a second relationship calibration table of the relevant external feature and the battery health status;
a second searching subunit 343 is configured to search the second relationship calibration table for a second battery health status corresponding to the relevant external feature.
As an alternative embodiment, the second judging unit 350 includes:
a second determining subunit 351 configured to determine, according to the first battery state of health, an accuracy range corresponding to the first battery state of health;
a second judging subunit 352, configured to judge whether the second battery state of health is in the accuracy range;
the second determining subunit 351 is further configured to determine that the second battery state of health matches the first battery state of health when the second battery state of health is within the accuracy range.
As an alternative embodiment, the third determining unit 360 is further configured to determine the first battery state of health as the target battery state of health when the second battery state of health does not match the first battery state of health.
Referring to fig. 6, fig. 6 shows an exemplary block diagram of a battery state of health determination system.
In this embodiment, the explanation of the battery state of health determination system may refer to the description in embodiment 1 or embodiment 2, and the description is not repeated in this embodiment.
Therefore, by implementing the battery health status determining system described in the embodiment, the maximum chargeable electric quantity can be obtained through the complete one-time charging process, and the SOH obtained through the maximum chargeable electric quantity/rated electric quantity is used as a reference SOH and used as an accuracy index; when the difference between the accumulated charge and the accumulated charge after the last complete charge is greater than a certain threshold value during a period of vehicle use, determining that correction is needed; at this time, the pre-calibrated accumulated charge-SOH relationship table is used as a first SOH, and is used for correcting the SOH in the actual application scene, the SOH obtained through the external features is used as a second SOH, and the final target SOH is determined under the condition of meeting the accuracy of the first SOH. According to the method, the battery state of health is estimated in a combined mode through the reference SOH, the first SOH and the second SOH, the method has good accuracy, robustness and reliability, and accurate SOH estimation is beneficial to estimating the service life and the endurance mileage of the battery and correcting the estimation of the state of charge (SOC) of the power battery and the like in the long-term use process of the electric automobile.
An embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is configured to store a computer program, and the processor is configured to execute the computer program to cause the electronic device to execute a method for determining a battery health state in embodiment 1 or embodiment 2 of the present application.
The present embodiment provides a computer readable storage medium storing computer program instructions that, when read and executed by a processor, perform the method for determining the state of health of a battery in embodiment 1 or embodiment 2 of the present application.
In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways as well. The system embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely exemplary embodiments of the present application and is not intended to limit the scope of the present application, and various modifications and variations may be suggested to one skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A battery state of health determination method, comprising:
acquiring the current accumulated charge amount of the battery in the charging process;
judging whether the battery needs to carry out battery health state correction or not based on the current accumulated charge quantity;
when the battery needs to be subjected to battery health state correction, determining a first battery health state based on the current accumulated charge amount;
determining a second battery state of health from the relevant external characteristics of the battery;
judging whether the second battery health state is matched with the first battery health state;
and determining the second battery state of health as a target battery state of health when the second battery state of health matches the first battery state of health.
2. The battery state of health determination method according to claim 1, wherein the step of determining whether the battery needs battery state of health correction based on the current accumulated charge amount includes:
acquiring an integral charge accumulated charge amount;
judging whether the absolute value of the difference between the current accumulated charge amount and the full charge accumulated charge amount is larger than a preset difference threshold value;
and when the absolute value of the difference is larger than the preset difference threshold, determining that the battery needs to be subjected to battery health state correction.
3. The battery state of health determination method of claim 1, wherein the method further comprises:
when the battery does not need to be subjected to battery health state correction, calculating a reference battery health state based on the current accumulated charge amount and the rated battery power;
and determining the reference battery state of health as a target battery state of health.
4. The battery state of health determination method of claim 1, wherein said step of determining a first battery state of health based on said current accumulated charge comprises:
acquiring a first relation calibration table of the accumulated charge quantity and the battery health state;
and searching a first battery health state corresponding to the current accumulated charge in the first relation calibration table.
5. The method of claim 1, wherein the step of determining a second battery state of health from the associated external characteristics of the battery comprises:
obtaining a constant current charging curve, a voltage rebound curve and an OCV curve of the battery in the charging process;
calculating through the constant current charging curve, the voltage rebound curve and the OCV curve to obtain relevant external characteristics; the related external characteristics are the ratio of the increment capacity to the differential voltage, the ratio of the increment capacity to the increment SOC or the equivalent internal resistance of charging;
acquiring a second relation calibration table of the related external characteristics and the battery health state;
and searching a second battery health state corresponding to the related external characteristic in the second relation calibration table.
6. The battery state of health determination method of claim 1, wherein said step of determining whether said second battery state of health matches said first battery state of health comprises:
determining an accuracy range corresponding to the first battery state of health according to the first battery state of health;
judging whether the second battery state of health is in the accuracy range;
when the second battery state of health is within the accuracy range, determining that the second battery state of health matches the first battery state of health.
7. The battery state of health determination method of claim 1, wherein the method further comprises:
and when the second battery state of health does not match the first battery state of health, determining the first battery state of health as a target battery state of health.
8. A battery state of health determination system, the battery state of health determination system comprising:
an acquisition unit for acquiring a current accumulated charge amount of the battery in the current charging process;
a first judging unit configured to judge whether the battery needs to perform battery state of health correction based on the current accumulated charge amount;
a first determining unit configured to determine a first battery state of health based on the current accumulated charge amount when the battery needs to be subjected to battery state of health correction;
a second determining unit for determining a second battery state of health from the relevant external characteristics of the battery;
a second judging unit, configured to judge whether the second battery state of health matches the first battery state of health;
and a third determining unit configured to determine the second battery state of health as a target battery state of health when the second battery state of health matches the first battery state of health.
9. An electronic device comprising a memory for storing a computer program and a processor that runs the computer program to cause the electronic device to perform the battery state of health determination method of any one of claims 1 to 7.
10. A readable storage medium having stored therein computer program instructions which, when read and executed by a processor, perform the battery state of health determination method of any of claims 1 to 7.
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| CN202311355708.4A CN117630709A (en) | 2023-10-18 | 2023-10-18 | Battery health state determining method and system |
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| CN202311355708.4A CN117630709A (en) | 2023-10-18 | 2023-10-18 | Battery health state determining method and system |
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