CN113281656B - Method and device for determining battery health - Google Patents
Method and device for determining battery health Download PDFInfo
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- CN113281656B CN113281656B CN202110552994.8A CN202110552994A CN113281656B CN 113281656 B CN113281656 B CN 113281656B CN 202110552994 A CN202110552994 A CN 202110552994A CN 113281656 B CN113281656 B CN 113281656B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The disclosure relates to a method and a device for determining battery health, and relates to the field of battery detection, wherein the method comprises the following steps: and determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery, wherein the life cycle time is the time from the factory moment to the current moment of the battery, and the service time is the sum of the charging time and the discharging time of the battery in the life cycle time. And determining the cycle life health of the battery according to the charge electric quantity and the discharge electric quantity of the battery in the life cycle time. And determining the health degree of the battery according to the battery utilization rate, the calendar life health degree and the cycle life health degree. According to the method and the device, the battery health degree is determined through the battery utilization rate, the calendar life health degree and the cycle life health degree, so that the online real-time detection of the battery health degree can be realized, and the accuracy of the battery health degree detection is improved.
Description
Technical Field
The disclosure relates to the field of battery detection, and in particular relates to a method and a device for determining battery health.
Background
With the development of society, electric vehicles are rapidly developed and popularized. The battery for providing power for the electric automobile is used as one of key components of the electric automobile, and directly influences the endurance mileage of the automobile, so that the health degree of the battery needs to be detected. Currently, an internal resistance method and a circuit model method are generally used to detect the health of a battery, however, the internal resistance method requires a specific device to measure the health of a battery, and is difficult to be suitable for a scene of detecting a battery in a large scale. The load calculation amount for measuring the health degree of the battery by the circuit model method is large, and the large-batch detection of the battery is difficult to realize.
Disclosure of Invention
An object of the present disclosure is to provide a method and apparatus for determining battery health, which are used to solve the related problems in the prior art.
According to a first aspect of embodiments of the present disclosure, there is provided a method of determining a battery health, the method comprising:
determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery, wherein the life cycle time is the time from the factory moment to the current moment of the battery, and the service time is the sum of the charging time and the discharging time of the battery in the life cycle time;
determining the cycle life health of the battery according to the charge electric quantity and the discharge electric quantity of the battery in the life cycle time;
and determining the health degree of the battery according to the battery utilization rate, the calendar life health degree and the cycle life health degree.
Optionally, after said determining the health of the battery according to the battery usage rate, the calendar life health and the cycle life health, the method further comprises:
and correcting the health degree of the battery according to the fast charge duty ratio of the battery, wherein the fast charge duty ratio is the proportion of the fast charge times of the battery to the charge times.
Optionally, before the determining the calendar life health and the battery usage of the battery according to the life cycle time and the usage time of the battery, the method further comprises:
obtaining a monomer voltage of each monomer in the battery at a charging end, wherein the charging end is in a state that the electric quantity of the battery is larger than a preset electric quantity threshold value;
the method for determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery comprises the following steps:
and if the expected values of the plurality of single voltages are larger than a preset expected threshold value and the standard deviation of the plurality of single voltages is smaller than a preset standard deviation threshold value, determining the calendar life health degree and the battery utilization rate according to the life cycle time and the service time.
Optionally, the determining the calendar life health and the battery usage of the battery according to the life cycle time and the usage time of the battery includes:
taking the difference between the life cycle time and the use time as the idle time of the battery;
taking the ratio of the service time to the life cycle time as the battery service rate;
and determining the calendar life health degree of the battery according to the idle time of the battery.
Optionally, the determining the cycle life health of the battery according to the charge capacity and the discharge capacity of the battery in the life cycle time includes:
taking the maximum value of the charging electric quantity and the discharging electric quantity as a target electric quantity;
determining the cycle number of the battery according to the target electric quantity and the rated capacity of the battery;
and determining the cycle life health of the battery according to the cycle times.
Optionally, the setting the maximum value of the charge electric quantity and the discharge electric quantity as a target electric quantity includes:
taking the maximum value of the charge electric quantity and the discharge electric quantity corresponding to each use scene in a plurality of use scenes as the target electric quantity corresponding to the use scene, wherein the use scene comprises: the temperature of the battery and the current of the battery;
the determining the cycle number of the battery according to the target electric quantity and the rated capacity of the battery comprises the following steps:
taking the ratio of the target electric quantity corresponding to each use scene to the rated capacity of the battery as the initial cycle times corresponding to the use scene;
determining the cycle times corresponding to the use scene according to the initial cycle times corresponding to the use scene, the temperature correction coefficient and the current correction coefficient corresponding to the use scene;
and summing the cycle times corresponding to each use scene to obtain the cycle times of the battery.
Optionally, the correcting the health of the battery according to the fast charge duty ratio of the battery includes:
determining a correction parameter according to the fast charge duty ratio;
and taking the sum of the health degree of the battery and the correction parameter as the health degree of the battery after correction.
According to a second aspect of embodiments of the present disclosure, there is provided a device for determining a degree of health of a battery, the device including:
the first determining module is used for determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery, wherein the life cycle time is the time from the factory moment to the current moment of the battery, and the service time is the sum of the charging time and the discharging time of the battery in the life cycle time;
the second determining module is used for determining the cycle life health of the battery according to the charge electric quantity and the discharge electric quantity of the battery in the life cycle time;
and a third determining module, configured to determine a health degree of the battery according to the battery usage rate, the calendar life health degree, and the cycle life health degree.
Optionally, the apparatus further comprises:
and the correction module is used for correcting the health degree of the battery according to the fast charge duty ratio of the battery after the health degree of the battery is determined according to the battery utilization rate, the calendar life health degree and the cycle life health degree, wherein the fast charge duty ratio is the proportion of the fast charge times of the battery to the charge times.
Optionally, the apparatus further comprises:
the acquiring module is used for acquiring the monomer voltage of each monomer in the battery at the charging end before determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery, wherein the charging end is in a state that the electric quantity of the battery is larger than a preset electric quantity threshold value;
the first determining module is configured to:
and if the expected values of the plurality of single voltages are larger than a preset expected threshold value and the standard deviation of the plurality of single voltages is smaller than a preset standard deviation threshold value, determining the calendar life health degree and the battery utilization rate according to the life cycle time and the service time.
Optionally, the first determining module is configured to:
taking the difference between the life cycle time and the use time as the idle time of the battery;
taking the ratio of the service time to the life cycle time as the battery service rate;
and determining the calendar life health degree of the battery according to the idle time of the battery.
Optionally, the second determining module is configured to:
taking the maximum value of the charging electric quantity and the discharging electric quantity as a target electric quantity;
determining the cycle number of the battery according to the target electric quantity and the rated capacity of the battery;
and determining the cycle life health of the battery according to the cycle times.
Optionally, the second determining module is configured to:
taking the maximum value of the charge electric quantity and the discharge electric quantity corresponding to each use scene in a plurality of use scenes as the target electric quantity corresponding to the use scene, wherein the use scene comprises: the temperature of the battery and the current of the battery;
taking the ratio of the target electric quantity corresponding to each use scene to the rated capacity of the battery as the initial cycle times corresponding to the use scene;
determining the cycle times corresponding to the use scene according to the initial cycle times corresponding to the use scene, the temperature correction coefficient and the current correction coefficient corresponding to the use scene;
and summing the cycle times corresponding to each use scene to obtain the cycle times of the battery.
Optionally, the correction module is configured to:
determining a correction parameter according to the fast charge duty ratio;
and taking the sum of the health degree of the battery and the correction parameter as the health degree of the battery after correction.
Through the technical scheme, the calendar life health degree and the battery utilization rate of the battery are determined according to the life cycle time and the service time of the battery, the cycle life health degree of the battery is determined according to the charge electric quantity and the discharge electric quantity of the battery in the life cycle time, and finally the health degree of the battery is determined according to the battery utilization rate, the calendar life health degree and the cycle life health degree. According to the method and the device, the battery health degree is determined through the battery utilization rate, the calendar life health degree and the cycle life health degree, so that the online real-time detection of the battery health degree in a large batch can be realized, and the accuracy of the battery health degree detection is improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
FIG. 1 is a flowchart illustrating a method of determining battery health according to an exemplary embodiment;
FIG. 2 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment;
FIG. 3 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment;
FIG. 4 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment;
FIG. 5 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment;
FIG. 6 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment;
FIG. 7 is a block diagram illustrating a device for determining battery health according to an exemplary embodiment;
FIG. 8 is a block diagram illustrating another apparatus for determining battery health according to an exemplary embodiment;
fig. 9 is a block diagram illustrating another apparatus for determining battery health according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
Before describing the method and the device for battery health provided by the disclosure, application scenarios related to various embodiments of the disclosure are first described. An application scenario of the present disclosure may be a detection system of battery health, which may include a remote monitoring terminal and a remote monitoring enterprise platform, where the remote monitoring terminal may be disposed on a vehicle, and configured to collect operation state data of a battery (such as a voltage of the battery, a current of the battery, etc. mentioned later) and send the operation state data to the remote monitoring enterprise platform. The remote monitoring enterprise platform processes the running state data of the vehicle to obtain the health degree of the battery, and the health degree is stored in the server for the user to inquire. The system can also be arranged on a vehicle, and can directly collect and process the running state data of the power battery to obtain the health degree of the battery, and the health degree is stored in the vehicle for the user to inquire.
Fig. 1 is a flowchart illustrating a method of determining battery health according to an exemplary embodiment, as shown in fig. 1, the method including:
The battery shown in the present embodiment may be, for example, a lithium battery that powers an electric automobile. Firstly, the delivery time and the service time of the battery can be obtained, and the life cycle time of the battery is calculated according to the delivery time, wherein the life cycle time can be understood as the time from the delivery time of the battery to the current time, and the service time can be understood as the sum of the charging time and the discharging time of the battery in the life cycle time, namely the time for using the battery by a vehicle. The usage rate of the vehicle and the idle time of the battery can be obtained according to the usage time and the life cycle time, and the calendar life health degree of the battery can be obtained according to the idle time of the battery and the first attenuation relation corresponding to the calendar life of the battery, wherein the first attenuation relation can be understood as the corresponding relation between the calendar life health degree and the idle time, and can be a preset first attenuation function or a first attenuation table, for example.
Further, the vehicle may send a message to the detection system of the battery health according to a sending period (e.g., 10 s) during the life cycle time of the battery, where the message may include an identification bit (for identifying whether the battery is in a charging state or a discharging state), a voltage of the battery, a current of the battery, a temperature of the battery, and so on. The battery health detection system can obtain the charge capacity of the battery according to the received message through the formula 1, and obtain the discharge capacity of the battery through the formula 2.
Wherein E is chg For charging electric quantity E dischg For discharging electric quantity, n is the number of messages with the identification bit in a charging state, m is the number of messages with the identification bit in a discharging state, U i For the voltage of the battery contained in the message with the ith identification bit in charge state, I i The message for the ith identification bit to be in the charging state containsIs the current of the battery, U j For the voltage of the battery contained in the message with the j-th identification bit in the discharge state, I j The current of the battery included in the message whose jth flag is in the discharge state is Δt, which is the transmission cycle of the message.
In theory, the charge capacity and the discharge capacity should be equal, however, in reality, there may be a case that part of the messages are not sent successfully, so that the obtained charge capacity (or the discharge capacity) is smaller, so in order to improve the accuracy of detection, the maximum value of the charge capacity and the discharge capacity can be used as the target capacity, and the cycle number of charging and discharging of the battery is obtained according to the target capacity and the rated capacity of the battery, wherein charging and discharging are performed once. And then, according to the cycle times, obtaining the cycle life health of the battery through a second attenuation relation corresponding to the cycle life of the battery, wherein the second attenuation relation can be understood as the corresponding relation between the cycle life health and the cycle times, and can be a preset second attenuation function or a second attenuation table.
And step 103, determining the health degree of the battery according to the battery utilization rate, the calendar life health degree and the cycle life health degree.
Finally, the calendar life health and the cycle life health can be weighted and summed by equation 3 to obtain the health of the battery.
Soh_secret=soh_cyc Φ+soh_cal (1- Φ) (equation 3)
Where SOH_secret is the health of the battery, SOH_cyc is the cycle life health, SOH_cal is the calendar life health, and Φ is the battery usage. The calendar life health degree is the health degree obtained according to the idle time, and the cycle life health degree is the health degree obtained according to the cycle times, so that the influence of the calendar life and the cycle life on the health degree of the battery can be comprehensively considered by taking the battery utilization rate phi as the weight of the cycle life health degree, taking the idle rate (1-phi) of the battery as the weight of the calendar life health degree and carrying out weighted summation on the calendar life health degree and the cycle life health degree, and the accuracy of the health degree detection of the battery is improved. In addition, the battery health degree detection system can collect the running state data of the battery in real time, so that the health degree of a large number of batteries can be detected in real time on line according to the real-time running state data of the battery, and the detection efficiency of the health degree of the batteries is improved.
In summary, according to the present disclosure, the calendar life health and the battery usage rate of the battery are determined according to the life cycle time and the usage time of the battery, the cycle life health of the battery is determined according to the charge and discharge electric quantities of the battery in the life cycle time, and finally the health of the battery is determined according to the battery usage rate, the calendar life health and the cycle life health. According to the method and the device, the battery health degree is determined through the battery utilization rate, the calendar life health degree and the cycle life health degree, so that the online real-time detection of the battery health degree in a large batch can be realized, and the accuracy of the battery health degree detection is improved.
Fig. 2 is a flowchart illustrating another method of determining battery health, according to an exemplary embodiment, as shown in fig. 2, after step 103, the method further includes:
and 104, correcting the health degree of the battery according to the fast charge duty ratio of the battery, wherein the fast charge duty ratio is the ratio of the fast charge times to the charge times of the battery.
For example, since the fast charge of the battery affects the health of the battery, after the health of the battery is obtained, the health of the battery can be corrected according to the fast charge duty ratio of the battery, thereby further improving the accuracy of the health of the battery. The fast charge ratio is understood to be the ratio of the number of fast charges to the number of charges of the battery. Specifically, the fast charge duty ratio may be obtained by obtaining the fast charge times and the charge times of the battery, and then the correction parameter may be obtained according to the fast charge duty ratio through a preset correction relationship, and the health degree of the battery may be corrected by using the correction parameter, where the correction relationship may be understood as a relationship between the correction parameter and the fast charge duty ratio, for example, may be a correction function or a correction table, and the correction parameter may be understood as a parameter for correcting the health degree of the battery.
Fig. 3 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment, as shown in fig. 3, before step 101, the method further includes:
Accordingly, one implementation of step 101 may be:
if the expected values of the plurality of single voltages are larger than a preset expected threshold value and the standard deviation of the plurality of single voltages is smaller than a preset standard deviation threshold value, determining the calendar life health degree and the battery utilization rate according to the life cycle time and the service time.
For example, before detecting the health of the battery, the state of the battery may be qualitatively estimated by the cell voltage of each cell (i.e., the cell) in the battery at the charging end, where the charging end is the state where the electric quantity of the battery is greater than a preset electric quantity threshold (e.g., 95%).
Specifically, for different vehicle types, a real vehicle test may be performed on the health degree of the battery corresponding to the vehicle of each vehicle type and the monomer voltage of each monomer in the battery at the charging end, and a normal distribution analysis may be performed on the monomer voltages obtained by the test, so as to obtain expected values and standard deviations of a plurality of monomer voltages corresponding to each vehicle type at each test time, where the test results may be shown in table 1, for example. And a vehicle type can be pre-selected, real vehicle testing is carried out on the corresponding battery health degree of the vehicle type and the monomer voltage of each monomer in the battery at the charging end at different times, normal distribution analysis is carried out on the monomer voltage obtained by testing, expected values and standard deviations of a plurality of monomer voltages corresponding to each testing time of the vehicle type are obtained, and the testing result can be shown in table 2 for example.
In the test result, the expected sum variance corresponding to the cell voltage when the battery health is 80% may be used as the expected threshold and the variance threshold, and the standard deviation threshold may be obtained from the variance threshold. The desired threshold may be, for example, 4.10V, and the variance threshold may be, for example, 0.04, i.e., the standard deviation threshold is 0.2.
TABLE 1
| 2018.06 | 2018.09 | 2019.03 | 2019.09 | 2020.03 | 2020.09 | |
| SOH experimental value | 100.2％ | 97.9％ | 85％ | 79％ | 78％ | 75％ |
| Expected value | 4.1164 | 4.1077 | 4.1055 | 4.095 | 4.105 | 4.1125 |
| Variance of | 0.0177 | 0.0217 | 0.0298 | 0.0382 | 0.0416 | 0.0458 |
TABLE 2
From the data in tables 1 and 2, it can be seen that as SOH of the battery decreases, the expected values of the cell voltages decrease, the variance increases, and uniformity of the cells decreases. Therefore, for any vehicle corresponding to the vehicle type, the health degree of the battery can be qualitatively judged by acquiring the cell voltage of each cell at the charging end in the battery of the vehicle and obtaining the expected values and standard deviations of a plurality of cell voltages. Specifically, if the expected values of the plurality of cell voltages are greater than a preset expected threshold value and the standard deviation of the plurality of cell voltages is less than the preset standard deviation threshold value, the consistency of the plurality of cell voltages is better, the health degree of the battery can be judged to be normal, and the health degree of the battery can be further quantitatively calculated. If the expected values of the plurality of cell voltages are smaller than a preset expected threshold value and/or the standard deviation of the plurality of cell voltages is larger than a preset standard deviation threshold value, the consistency of the plurality of cell voltages is poor, and the health degree of the battery can be judged to be abnormal and the battery can not be used any more.
Therefore, the battery health degree is qualitatively estimated through the single voltage of each single body at the charging end of the battery, and the battery with normal health degree is quantitatively calculated, so that unnecessary calculated amount is reduced, and the detection efficiency of the battery health degree is improved.
Fig. 4 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment, and as shown in fig. 4, step 101 may be implemented by:
In step 1013, the calendar life health of the battery is determined based on the idle time of the battery.
For example, in calculating the calendar life health of a battery, the life cycle time and the usage time of the battery may be first acquired, and the difference between the life cycle time and the usage time may be used as the idle time of the battery, where the idle time may be understood as the time when the battery is not in a charged or discharged state. The ratio of the usage time to the life cycle time can then be calculated and used as the battery usage. Further, according to the idle time of the battery, the calendar life health of the battery can be obtained through a first decay function corresponding to the calendar life, wherein the first decay function can be shown in formula 4, for example.
Wherein FUN-SOH-cal (T) is calendar life health, and T is idle time.
Fig. 5 is a flowchart illustrating another method of determining battery health according to an exemplary embodiment, and as shown in fig. 5, step 102 may be implemented by:
and 1021, taking the maximum value of the charge electric quantity and the discharge electric quantity as a target electric quantity.
For example, when calculating the cycle life health of the battery, the charge amount and the discharge amount of the battery may be obtained by equation 1 first, and the maximum value of the charge amount and the discharge amount is taken as the target amount. And then the ratio of the target electric quantity to the rated capacity of the battery can be used as the cycle number of the battery, and the cycle life health of the battery can be obtained through a second decay function corresponding to the cycle life according to the cycle number, wherein the second decay function can be shown in a formula 5.
Wherein FUN-SOH-cyc (x) is cycle life health, and x is cycle number.
In an application scenario, an implementation of step 1021 may be:
and taking the maximum value of the charge electric quantity and the discharge electric quantity corresponding to each use scene in a plurality of use scenes as the target electric quantity corresponding to the use scene, wherein the use scenes comprise: the temperature of the battery and the current of the battery.
Accordingly, one implementation of step 1022 may be:
and taking the ratio of the target electric quantity corresponding to each use scene to the rated capacity of the battery as the initial cycle times corresponding to the use scene.
And determining the circulation times corresponding to the use scene according to the initial circulation times corresponding to the use scene, the temperature correction coefficient and the current correction coefficient corresponding to the use scene.
And summing the cycle times corresponding to each use scene to obtain the cycle times of the battery.
For example, when calculating the cycle life health of the battery, since the temperature and the current of the battery in the life cycle time are different, the corresponding cycle times are also different, so that the life cycle time of the battery can be divided into a plurality of use scenes according to different temperature intervals and current intervals. For example, the temperature interval may include: four sections at 5 ℃, 5-15 ℃, 15-25 ℃ and greater than 25 ℃, the current section can comprise: 0-1C and more than 1C, then there can be eight usage scenarios: (5 ℃, 0-1C), (5-15 ℃, 0-1C), (15-25 ℃, 0-1C), (greater than 25 ℃, 0-1C), (5 ℃, greater than 1C), (5-15 ℃, greater than 1C), (15-25 ℃, greater than 1C), (greater than 25 ℃, greater than 1C).
When the cycle times are calculated, the cycle times corresponding to each use scene can be respectively determined, and then the cycle times of the battery are obtained according to the cycle times corresponding to a plurality of use scenes. Specifically, the maximum value of the charge electric quantity and the discharge electric quantity corresponding to each use scenario may be used as the target electric quantity corresponding to the use scenario, then the ratio of the target electric quantity corresponding to each use scenario and the rated capacity of the battery is used as the initial cycle number corresponding to the use scenario, and the initial cycle number is corrected according to the initial cycle number corresponding to the use scenario, the temperature correction coefficient and the current correction coefficient corresponding to the use scenario by the formula 6, so as to obtain the cycle number corresponding to the use scenario, wherein the temperature correction coefficient corresponding to each use scenario may be obtained by the formula 7, and the corresponding current correction coefficient may be obtained by the formula 8.
Wherein N is ab The cycle times corresponding to the use scene corresponding to the a-th temperature interval and the b-th current interval, E ab For the target electric quantity corresponding to the use scene corresponding to the a-th temperature interval and the b-th current interval, the charging electric quantity and the discharging electric quantity corresponding to the use scene corresponding to the a-th temperature interval and the b-th current interval can be calculated according to the formula 1 and the formula 2, and the maximum value of the calculated charging electric quantity and discharging electric quantity is E ab ，E 0 For rated capacity, alpha (y a ) A temperature correction coefficient corresponding to the a-th temperature zone, β (z b ) A current correction coefficient corresponding to the b-th current interval, y a The temperature of the battery corresponding to the a-th temperature zone may be, for example, the maximum, minimum or average value of the temperatures in the a-th temperature zone, z b The current of the battery corresponding to the b-th current interval may be, for example, the maximum value, the minimum value, or the average value of the current in the b-th current interval.
Finally, the cycle numbers corresponding to each use scenario can be summed up through formula 9, thereby obtaining the cycle number of the battery.
Where N is the number of cycles, a is the number of temperature intervals, and B is the number of current intervals.
Fig. 6 is a flowchart illustrating another method of determining battery health, according to an exemplary embodiment, as shown in fig. 6, step 104 may be implemented by:
in step 1041, a correction parameter is determined according to the fast charge duty cycle.
For example, when the health of the battery is corrected, the fast charge duty ratio may be obtained by obtaining the fast charge times and the charge times of the battery, and then the correction parameters may be obtained according to the fast charge duty ratio through a preset correction function to correct the health of the battery, where the correction function may be shown in formula 10, for example.
Wherein FUN-CHG (X) is a correction parameter, and X is a fast charge duty cycle.
Further, the sum of the health of the battery and the correction parameter may be used as the health of the battery after correction. Therefore, the degree of health of the battery is corrected according to the fast charge duty ratio of the battery, and the degree of health accuracy of the battery is further improved.
In summary, according to the present disclosure, the calendar life health and the battery usage rate of the battery are determined according to the life cycle time and the usage time of the battery, the cycle life health of the battery is determined according to the charge and discharge electric quantities of the battery in the life cycle time, and finally the health of the battery is determined according to the battery usage rate, the calendar life health and the cycle life health. According to the method and the device, the battery health degree is determined through the battery utilization rate, the calendar life health degree and the cycle life health degree, so that the online real-time detection of the battery health degree in a large batch can be realized, and the accuracy of the battery health degree detection is improved.
Fig. 7 is a block diagram illustrating a device for determining battery health according to an exemplary embodiment, and as shown in fig. 7, the device 200 includes:
the first determining module 201 is configured to determine a calendar life health of the battery and a battery usage rate according to a life cycle time and a usage time of the battery, where the life cycle time is a time from a factory time to a current time of the battery, and the usage time is a sum of a charging time and a discharging time of the battery in the life cycle time.
The second determining module 202 is configured to determine the cycle life health of the battery according to the charge and discharge of the battery during the life cycle time.
The third determining module 203 is configured to determine the health of the battery according to the battery usage rate, the calendar life health and the cycle life health.
Fig. 8 is a block diagram illustrating another apparatus for determining battery health according to an exemplary embodiment, and as shown in fig. 8, the apparatus 200 further includes:
the correction module 204 is configured to correct the health of the battery according to a fast charge ratio of the battery, where the fast charge ratio is a ratio of a number of times the battery is charged to a number of times the battery is charged after determining the health of the battery according to the battery usage rate, the calendar life health, and the cycle life health.
Fig. 9 is a block diagram illustrating another apparatus for determining battery health according to an exemplary embodiment, and as shown in fig. 9, the apparatus 200 further includes:
the obtaining module 205 is configured to obtain a cell voltage of each cell in the battery at a charging end before determining a calendar life health degree and a battery usage rate of the battery according to a life cycle time and a usage time of the battery, where the charging end is a state where an electric quantity of the battery is greater than a preset electric quantity threshold.
A first determining module 201, configured to:
if the expected values of the plurality of single voltages are larger than a preset expected threshold value and the standard deviation of the plurality of single voltages is smaller than a preset standard deviation threshold value, determining the calendar life health degree and the battery utilization rate according to the life cycle time and the service time.
In an application scenario, a first determining module 201 is configured to:
the difference between the life cycle time and the use time is taken as the idle time of the battery.
The ratio of the usage time to the life cycle time is used as the battery usage rate.
And determining the calendar life health of the battery according to the idle time of the battery.
In another application scenario, the second determining module 202 is configured to:
and taking the maximum value of the charge electric quantity and the discharge electric quantity as a target electric quantity.
And determining the cycle times of the battery according to the target electric quantity and the rated capacity of the battery.
And determining the cycle life health of the battery according to the cycle times.
In another application scenario, the second determining module 202 is configured to:
and taking the maximum value of the charge electric quantity and the discharge electric quantity corresponding to each use scene in a plurality of use scenes as the target electric quantity corresponding to the use scene, wherein the use scenes comprise: the temperature of the battery and the current of the battery.
And taking the ratio of the target electric quantity corresponding to each use scene to the rated capacity of the battery as the initial cycle times corresponding to the use scene.
And determining the circulation times corresponding to the use scene according to the initial circulation times corresponding to the use scene, the temperature correction coefficient and the current correction coefficient corresponding to the use scene.
And summing the cycle times corresponding to each use scene to obtain the cycle times of the battery.
In another application scenario, the correction module 204 is configured to:
and determining a correction parameter according to the fast charge duty ratio.
And taking the sum of the health degree of the battery and the correction parameter as the health degree of the battery after correction.
In summary, according to the present disclosure, the calendar life health and the battery usage rate of the battery are determined according to the life cycle time and the usage time of the battery, the cycle life health of the battery is determined according to the charge and discharge electric quantities of the battery in the life cycle time, and finally the health of the battery is determined according to the battery usage rate, the calendar life health and the cycle life health. According to the method and the device, the battery health degree is determined through the battery utilization rate, the calendar life health degree and the cycle life health degree, so that the online real-time detection of the battery health degree in a large batch can be realized, and the accuracy of the battery health degree detection is improved.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the foregoing embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, the present disclosure does not further describe various possible combinations.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.
Claims (10)
1. A method of determining battery health, the method comprising:
determining the calendar life health degree and the battery utilization rate of a battery according to the life cycle time and the service time of the battery, wherein the life cycle time is the time from the factory moment to the current moment of the battery, the service time is the sum of the charging time and the discharging time of the battery in the life cycle time, and the battery utilization rate is the ratio of the service time to the life cycle time;
determining the cycle life health of the battery according to the charge electric quantity and the discharge electric quantity of the battery in the life cycle time;
determining the health of the battery according to the battery utilization, the calendar life health and the cycle life health;
the determining the health of the battery according to the battery usage, the calendar life health and the cycle life health comprises:
taking the product of the cycle life health and the battery usage as a first health;
taking the product of the calendar life health degree and the battery idle rate as a second health degree, wherein the sum of the battery utilization rate and the battery idle rate is one;
and taking the sum of the first health degree and the second health degree as the health degree of the battery.
2. The method of claim 1, wherein after said determining the health of the battery based on the battery usage rate, the calendar life health, and the cycle life health, the method further comprises:
and correcting the health degree of the battery according to the fast charge duty ratio of the battery, wherein the fast charge duty ratio is the proportion of the fast charge times of the battery to the charge times.
3. The method of claim 1, wherein prior to said determining the calendar life health and battery usage of the battery based on the life cycle time and the usage time of the battery, the method further comprises:
obtaining a monomer voltage of each monomer in the battery at a charging end, wherein the charging end is in a state that the electric quantity of the battery is larger than a preset electric quantity threshold value;
the method for determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery comprises the following steps:
and if the expected values of the plurality of single voltages are larger than a preset expected threshold value and the standard deviation of the plurality of single voltages is smaller than a preset standard deviation threshold value, determining the calendar life health degree and the battery utilization rate according to the life cycle time and the service time.
4. The method of claim 1, wherein determining the calendar life health and battery usage of the battery based on the life cycle time and the usage time of the battery comprises:
taking the difference between the life cycle time and the use time as the idle time of the battery;
taking the ratio of the service time to the life cycle time as the battery service rate;
and determining the calendar life health degree of the battery according to the idle time of the battery.
5. The method of claim 1, wherein determining the cycle life health of the battery based on the charge and discharge of the battery over the lifecycle time comprises:
taking the maximum value of the charging electric quantity and the discharging electric quantity as a target electric quantity;
determining the cycle number of the battery according to the target electric quantity and the rated capacity of the battery;
and determining the cycle life health of the battery according to the cycle times.
6. The method according to claim 5, wherein the taking the maximum of the charge amount and the discharge amount as a target amount of electricity includes:
taking the maximum value of the charge electric quantity and the discharge electric quantity corresponding to each use scene in a plurality of use scenes as the target electric quantity corresponding to the use scene, wherein the use scene comprises: the temperature of the battery and the current of the battery;
the determining the cycle number of the battery according to the target electric quantity and the rated capacity of the battery comprises the following steps:
taking the ratio of the target electric quantity corresponding to each use scene to the rated capacity of the battery as the initial cycle times corresponding to the use scene;
determining the cycle times corresponding to the use scene according to the initial cycle times corresponding to the use scene, the temperature correction coefficient and the current correction coefficient corresponding to the use scene;
and summing the cycle times corresponding to each use scene to obtain the cycle times of the battery.
7. The method of claim 2, wherein said modifying the health of the battery based on the fast charge duty cycle of the battery comprises:
determining a correction parameter according to the fast charge duty ratio;
and taking the sum of the health degree of the battery and the correction parameter as the health degree of the battery after correction.
8. A device for determining the health of a battery, the device comprising:
the first determining module is used for determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery, wherein the life cycle time is the time from the factory moment to the current moment of the battery, the service time is the sum of the charging time and the discharging time of the battery in the life cycle time, and the battery utilization rate is the ratio of the service time to the life cycle time;
the second determining module is used for determining the cycle life health of the battery according to the charge electric quantity and the discharge electric quantity of the battery in the life cycle time;
a third determining module configured to determine a health of the battery according to the battery usage rate, the calendar life health, and the cycle life health;
the third determining module is configured to:
taking the product of the cycle life health and the battery usage as a first health;
taking the product of the calendar life health degree and the battery idle rate as a second health degree, wherein the sum of the battery utilization rate and the battery idle rate is one;
and taking the sum of the first health degree and the second health degree as the health degree of the battery.
9. The apparatus of claim 8, wherein the apparatus further comprises:
and the correction module is used for correcting the health degree of the battery according to the fast charge duty ratio of the battery after the health degree of the battery is determined according to the battery utilization rate, the calendar life health degree and the cycle life health degree, wherein the fast charge duty ratio is the proportion of the fast charge times of the battery to the charge times.
10. The apparatus of claim 8, wherein the apparatus comprises:
the acquiring module is used for acquiring the monomer voltage of each monomer in the battery at the charging end before determining the calendar life health degree and the battery utilization rate of the battery according to the life cycle time and the service time of the battery, wherein the charging end is in a state that the electric quantity of the battery is larger than a preset electric quantity threshold value;
the first determining module is configured to:
and if the expected values of the plurality of single voltages are larger than a preset expected threshold value and the standard deviation of the plurality of single voltages is smaller than a preset standard deviation threshold value, determining the calendar life health degree and the battery utilization rate according to the life cycle time and the service time.
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