CN111435151A - Service life estimation method and system of power battery and power energy storage system - Google Patents

Service life estimation method and system of power battery and power energy storage system Download PDF

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CN111435151A
CN111435151A CN202010065481.XA CN202010065481A CN111435151A CN 111435151 A CN111435151 A CN 111435151A CN 202010065481 A CN202010065481 A CN 202010065481A CN 111435151 A CN111435151 A CN 111435151A
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power battery
electric quantity
change value
chargeable
charge
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CN111435151B (en
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王峰
王君生
王岩芳
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Svolt Energy Technology Co Ltd
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Svolt Energy Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/005Testing of electric installations on transport means
    • G01R31/006Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385Arrangements for measuring battery or accumulator variables
    • G01R31/387Determining ampere-hour charge capacity or SoC
    • G01R31/388Determining ampere-hour charge capacity or SoC involving voltage measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389Measuring internal impedance, internal conductance or related variables
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

Abstract

The application provides a service life estimation method and system of a power battery and an electric energy storage system. The service life estimation method of the power battery comprises the following steps: acquiring charge and discharge information of the power battery; determining an electric quantity change value according to the charge and discharge information of the power battery, wherein the electric quantity change value comprises a chargeable electric quantity change value corresponding to a normal charge and discharge cycle, a chargeable electric quantity change value corresponding to an abnormal charge and discharge cycle and a chargeable electric quantity change value corresponding to the deterioration of the power battery; and estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value. The service life estimation method of the power battery can simply and conveniently identify the service life of the power battery, and therefore reliable basis is provided for evaluation of the power battery.

Description

Service life estimation method and system of power battery and power energy storage system
Technical Field
The application relates to the technical field of energy storage equipment, in particular to a service life prediction method and system of a power battery and an electric energy storage system.
Background
In the related art, in a method for estimating the life of a power battery such as an electric vehicle or other energy storage systems, for example: the remaining available cycle number of the battery is estimated in advance. However, the estimation accuracy is low due to the complicated chemical mechanism of the limited power battery and the influence of a plurality of factors.
Disclosure of Invention
In view of the above, the present application is directed to a method for estimating a lifetime of a power battery. The method can simply and conveniently identify the service life of the power battery, and therefore, a reliable basis is provided for the evaluation of the power battery.
In order to achieve the purpose, the technical scheme of the application is realized as follows:
a service life estimation method of a power battery comprises the following steps: acquiring charge and discharge information of the power battery; determining an electric quantity change value according to the charge and discharge information of the power battery, wherein the electric quantity change value comprises a chargeable electric quantity change value corresponding to a normal charge and discharge cycle, a chargeable electric quantity change value corresponding to an abnormal charge and discharge cycle and a chargeable electric quantity change value corresponding to the deterioration of the power battery; and estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value.
Further, the determining the electric quantity change value according to the charging and discharging information of the power battery includes: obtaining the chargeable electric quantity variation value corresponding to the normal charge-discharge cycle according to the normal charge-discharge cycle times of the power battery; obtaining a chargeable electric quantity change value corresponding to abnormal charge-discharge circulation according to the abnormal charge-discharge circulation times of the power battery, and the initial electric quantity and the termination electric quantity corresponding to the abnormal charge-discharge circulation times; and obtaining the chargeable electric quantity change value corresponding to the deterioration of the power battery according to the battery health degree of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, the average ambient temperature of the power battery during each charging and discharging and the abnormal charging and discharging cycle number.
Further, the estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value includes: summing the chargeable electric quantity change value corresponding to the normal charge-discharge cycle and the chargeable electric quantity change value corresponding to the abnormal charge-discharge cycle to determine a first change value; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than a first threshold value, determining that the power battery is good.
Further, the estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value further includes: the first change value and the change value of the chargeable electric quantity corresponding to the deterioration of the power battery are subjected to subtraction, and a second change value is determined; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the second change value is smaller than a second threshold value, determining that the power battery is close to the end of the service life.
The service life estimation method of the power battery can simply and conveniently identify the service life of the power battery, and therefore reliable basis is provided for evaluation of the power battery.
The second objective of the present application is to provide a system for estimating the lifetime of a power battery. The system can simply and conveniently identify the service life of the power battery, and therefore, a reliable basis is provided for the evaluation of the power battery.
In order to achieve the purpose, the technical scheme of the application is realized as follows:
a life prediction system for a power battery comprises: the acquisition module is used for acquiring the charging and discharging information of the power battery; the change value determining module is used for determining an electric quantity change value according to the charge and discharge information of the power battery, wherein the electric quantity change value comprises a chargeable electric quantity change value corresponding to a normal charge and discharge cycle, a chargeable electric quantity change value corresponding to an abnormal charge and discharge cycle and a chargeable electric quantity change value corresponding to the deterioration of the power battery; and the estimation module is used for estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value.
Further, the change value determination module is configured to: obtaining the chargeable electric quantity variation value corresponding to the normal charge-discharge cycle according to the normal charge-discharge cycle times of the power battery; obtaining a chargeable electric quantity change value corresponding to abnormal charge-discharge circulation according to the abnormal charge-discharge circulation times of the power battery, and the initial electric quantity and the termination electric quantity corresponding to the abnormal charge-discharge circulation times; and obtaining the chargeable electric quantity change value corresponding to the deterioration of the power battery according to the battery health degree of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, the average ambient temperature of the power battery during each charging and discharging and the abnormal charging and discharging cycle number.
Further, the estimation module is configured to: summing the chargeable electric quantity change value corresponding to the normal charge-discharge cycle and the chargeable electric quantity change value corresponding to the abnormal charge-discharge cycle to determine a first change value; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than a first threshold value, determining that the power battery is good.
Further, the estimation module is further configured to: the first change value and the change value of the chargeable electric quantity corresponding to the deterioration of the power battery are subjected to subtraction, and a second change value is determined; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the second change value is smaller than a second threshold value, determining that the power battery is close to the end of the service life.
Further, the method also comprises the following steps: and prompting when the power battery is determined to be close to the end of the service life.
Compared with the prior art, the service life estimation system of the power battery and the service life estimation method of the power battery have the same advantages, and are not repeated herein.
A third object of the present application is to provide an electric energy storage system, which can easily and conveniently identify the life of a power battery, thereby providing a reliable basis for evaluation of the power battery.
In order to achieve the purpose, the technical scheme of the application is realized as follows:
an electric energy storage system is provided with a power battery and a service life estimation system of the power battery according to any one of the embodiments.
Compared with the prior art, the service life estimation system of the power battery has the same advantages as the service life estimation system of the power battery, and the detailed description is omitted.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart illustrating a method for estimating a lifetime of a power battery according to an embodiment of the present disclosure;
FIG. 2 is a diagram illustrating a relationship between a chargeable capacity of a power battery and a number of charge/discharge cycles;
fig. 3 is a block diagram of a life estimation system for a power battery according to an embodiment of the present disclosure.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 is a flowchart of a method for estimating the lifetime of a power battery according to an embodiment of the present application.
As shown in fig. 1, a method for estimating the lifetime of a power battery according to an embodiment of the present application includes the following steps:
s101: and acquiring the charging and discharging information of the power battery.
In one embodiment of the application, the charge and discharge information of the power battery includes, for example, the number of charge and discharge cycles of the power battery, the battery health of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, and the average ambient temperature of the power battery at each charge and discharge cycle, wherein the number of charge and discharge cycles of the power battery includes a normal number of charge and discharge cycles and an abnormal number of charge and discharge cycles.
S102: and determining an electric quantity change value according to the charge and discharge information of the power battery, wherein the electric quantity change value comprises a chargeable electric quantity change value corresponding to a normal charge and discharge cycle, a chargeable electric quantity change value corresponding to an abnormal charge and discharge cycle and a chargeable electric quantity change value corresponding to the deterioration of the power battery.
Specifically, as the number of charge and discharge cycles of the power battery is accumulated, the chargeable capacity (of course, the dischargeable capacity) is continuously attenuated, that is: the change of the chargeable and dischargeable electric quantity is shown in fig. 2.
The variation trend of the chargeable and dischargeable electric quantity approximately goes through three stages, namely a small descending period, a stable descending period and a rapid falling period.
The early-stage chargeable and dischargeable electric quantity has a small rapid descending process, the later chargeable and dischargeable electric quantity can enter a long slow descending process in a stage, an inflection point can be formed at last, and in the stage after the inflection point, the chargeable and dischargeable electric quantity can be rapidly attenuated.
Specifically, data of each charge and discharge cycle and charge and discharge electric quantity in a steady decline period are obtained, wherein the data of each charge and discharge cycle and charge and discharge electric quantity comprises: standard normal charge and discharge cycle data and abnormal charge and discharge cycle data.
For example: obtaining the chargeable electric quantity variation value corresponding to the normal charge-discharge cycle according to the normal charge-discharge cycle times of the power battery; obtaining a chargeable electric quantity change value corresponding to abnormal charge-discharge circulation according to the abnormal charge-discharge circulation times of the power battery, and the initial electric quantity and the termination electric quantity corresponding to the abnormal charge-discharge circulation times; and obtaining the chargeable electric quantity change value corresponding to the deterioration of the power battery according to the battery health degree of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, the average ambient temperature of the power battery during each charging and discharging and the abnormal charging and discharging cycle number.
The standard normal charge-discharge cycle data can be used for deducing the stable descending speed of the chargeable and dischargeable electric quantity by a linear regression or linear fitting method and the like.
y1 is kx + b, where y1 is the chargeable charge amount variation value corresponding to the normal charge and discharge cycle, and x is the number of normal charge and discharge cycles.
The abnormal charging and discharging cycle may be caused due to a fault or other abnormal reasons, which may accelerate the aging of the power battery, and at this time, the initial charge amount of the abnormal charging and discharging, the end charge amount, the position of the total cycle number of the abnormal charging and discharging cycle, and the like may be considered.
Therefore, y2 is λ 1fe (Cb, Ce, Cc), where Cb is the initial charge amount, Ce is the end charge amount, Cc is the number of abnormal charge and discharge cycles, and y2 is the change value of the chargeable charge amount corresponding to the abnormal charge and discharge cycles.
And (3) judging the position of an inflection point:
the positions of the inflection points are difficult to predict in advance, and may be different due to the difference of the individual power batteries. Therefore, in the embodiment of the present application, a method using multidimensional logistic regression may be considered, and the position of the inflection point is given by the form of probability. By some empirical parameters given by the battery manufacturer. Some parameters of the battery were considered including, but not limited to, soh (battery health), battery voltage, internal resistance, ambient temperature, number of charge and discharge cycles, etc.
Then, there is y3 ═ λ 2fg (soh, V, R, T, Cc), where soh is the battery health, V is the full charge voltage of the battery, R is the internal resistance of the battery, T is the average value of the ambient temperature during the charging of the battery, Cc is the number of abnormal charge and discharge cycles, and y3 is the change value of the chargeable amount of electricity corresponding to the deterioration of the power battery.
S103: and estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity and the electric quantity change value of the power battery.
For example: summing the chargeable electric quantity change value corresponding to the normal charge-discharge cycle and the chargeable electric quantity change value corresponding to the abnormal charge-discharge cycle to determine a first change value; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than a first threshold value, determining that the power battery is good.
The first change value and the change value of the chargeable electric quantity corresponding to the deterioration of the power battery are subjected to subtraction, and a second change value is determined; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the second change value is smaller than a second threshold value, determining that the power battery is close to the end of the service life.
The first threshold and the second threshold are error allowable ranges and can be obtained by pre-calibration.
Namely: if y is y1+ y2, namely: if the difference between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than the first threshold value, the power battery is considered to be located before the inflection point shown in fig. 2, and the power battery is good.
If y is y1+ y2-y3, namely: if the difference between the current chargeable and dischargeable electric quantity of the power battery and the second variation value is smaller than the second threshold value, the power battery is considered to be located behind the inflection point shown in fig. 2, which indicates that the power battery has entered a rapid decay period, and the power battery is close to the end of the service life.
And y is the detected current chargeable and dischargeable electric quantity of the power battery.
According to the service life estimation method of the power battery, the service life of the power battery can be simply and conveniently identified, and therefore a reliable basis is provided for the evaluation of the power battery.
Fig. 3 is a block diagram of a life estimation system for a power battery according to an embodiment of the present application. As shown in fig. 3, a system 300 for estimating the lifetime of a power battery according to an embodiment of the present application includes: an acquisition module 310, a variance determination module 320, and a prediction module 330.
The obtaining module 310 is configured to obtain charging and discharging information of the power battery. The variation value determining module 320 is configured to determine an electric quantity variation value according to the charge and discharge information of the power battery, where the electric quantity variation value includes a chargeable electric quantity variation value corresponding to a normal charge and discharge cycle, a chargeable electric quantity variation value corresponding to an abnormal charge and discharge cycle, and a chargeable electric quantity variation value corresponding to a deterioration of the power battery. The estimation module 330 is configured to estimate the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity variation value.
In one embodiment of the present application, the variance value determining module 320 is configured to: obtaining the chargeable electric quantity variation value corresponding to the normal charge-discharge cycle according to the normal charge-discharge cycle times of the power battery; obtaining a chargeable electric quantity change value corresponding to abnormal charge-discharge circulation according to the abnormal charge-discharge circulation times of the power battery, and the initial electric quantity and the termination electric quantity corresponding to the abnormal charge-discharge circulation times; and obtaining the chargeable electric quantity change value corresponding to the deterioration of the power battery according to the battery health degree of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, the average ambient temperature of the power battery during each charging and discharging and the abnormal charging and discharging cycle number.
In an embodiment of the present application, the estimation module 330 is configured to: summing the chargeable electric quantity change value corresponding to the normal charge-discharge cycle and the chargeable electric quantity change value corresponding to the abnormal charge-discharge cycle to determine a first change value; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than a first threshold value, determining that the power battery is good.
In an embodiment of the present application, the estimation module 330 is further configured to: the first change value and the change value of the chargeable electric quantity corresponding to the deterioration of the power battery are subjected to subtraction, and a second change value is determined; and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the second change value is smaller than a second threshold value, determining that the power battery is close to the end of the service life.
In an embodiment of the present application, the estimation module 330 further includes: and prompting when the power battery is determined to be close to the end of the service life.
According to the service life estimation system of the power battery, the service life of the power battery can be simply and conveniently identified, and therefore a reliable basis is provided for the evaluation of the power battery.
It should be noted that a specific implementation manner of the life estimation system of the power battery in the embodiment of the present application is similar to a specific implementation manner of the life estimation method of the power battery in the embodiment of the present application, and please refer to the description of the method part specifically, and details are not repeated here in order to reduce redundancy.
Further, the embodiment of the application discloses an electric energy storage system which is provided with a power battery and a service life estimation system of the power battery according to any one of the embodiments. The electric energy storage system can simply and conveniently identify the service life of the power battery, and therefore, a reliable basis is provided for evaluation of the power battery.
Among them, the electric energy storage system should be understood in a broad sense, namely: systems comprising a power cell may be referred to in a broad sense as electrical energy storage systems, for example: provided is an electric automobile.
In addition, other configurations and functions of the power storage system according to the embodiment of the present application are known to those skilled in the art, and are not described herein in detail to reduce redundancy.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method for estimating the service life of a power battery is characterized by comprising the following steps:
acquiring charge and discharge information of the power battery;
determining an electric quantity change value according to the charge and discharge information of the power battery, wherein the electric quantity change value comprises a chargeable electric quantity change value corresponding to a normal charge and discharge cycle, a chargeable electric quantity change value corresponding to an abnormal charge and discharge cycle and a chargeable electric quantity change value corresponding to the deterioration of the power battery;
and estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value.
2. The method for estimating the service life of the power battery according to claim 1, wherein the determining the electric quantity change value according to the charging and discharging information of the power battery comprises:
obtaining the chargeable electric quantity variation value corresponding to the normal charge-discharge cycle according to the normal charge-discharge cycle times of the power battery;
obtaining a chargeable electric quantity change value corresponding to abnormal charge-discharge circulation according to the abnormal charge-discharge circulation times of the power battery, and the initial electric quantity and the termination electric quantity corresponding to the abnormal charge-discharge circulation times;
and obtaining the chargeable electric quantity change value corresponding to the deterioration of the power battery according to the battery health degree of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, the average ambient temperature of the power battery during each charging and discharging and the abnormal charging and discharging cycle number.
3. The method for estimating the service life of the power battery according to claim 1 or 2, wherein estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value comprises:
summing the chargeable electric quantity change value corresponding to the normal charge-discharge cycle and the chargeable electric quantity change value corresponding to the abnormal charge-discharge cycle to determine a first change value;
and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than a first threshold value, determining that the power battery is good.
4. The method for estimating the service life of the power battery according to claim 3, wherein the estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value further comprises:
the first change value and the change value of the chargeable electric quantity corresponding to the deterioration of the power battery are subjected to subtraction, and a second change value is determined;
and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the second change value is smaller than a second threshold value, determining that the power battery is close to the end of the service life.
5. A life prediction system for a power battery, comprising:
the acquisition module is used for acquiring the charging and discharging information of the power battery;
the change value determining module is used for determining an electric quantity change value according to the charge and discharge information of the power battery, wherein the electric quantity change value comprises a chargeable electric quantity change value corresponding to a normal charge and discharge cycle, a chargeable electric quantity change value corresponding to an abnormal charge and discharge cycle and a chargeable electric quantity change value corresponding to the deterioration of the power battery;
and the estimation module is used for estimating the service life of the power battery according to the current chargeable and dischargeable electric quantity of the power battery and the electric quantity change value.
6. The system for estimating the service life of the power battery as claimed in claim 5, wherein the change value determining module is configured to:
obtaining the chargeable electric quantity variation value corresponding to the normal charge-discharge cycle according to the normal charge-discharge cycle times of the power battery;
obtaining a chargeable electric quantity change value corresponding to abnormal charge-discharge circulation according to the abnormal charge-discharge circulation times of the power battery, and the initial electric quantity and the termination electric quantity corresponding to the abnormal charge-discharge circulation times;
and obtaining the chargeable electric quantity change value corresponding to the deterioration of the power battery according to the battery health degree of the power battery, the voltage when the power battery is fully charged, the internal resistance of the power battery, the average ambient temperature of the power battery during each charging and discharging and the abnormal charging and discharging cycle number.
7. The system for estimating the service life of the power battery as claimed in claim 5 or 6, wherein the estimation module is used for:
summing the chargeable electric quantity change value corresponding to the normal charge-discharge cycle and the chargeable electric quantity change value corresponding to the abnormal charge-discharge cycle to determine a first change value;
and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the first change value is smaller than a first threshold value, determining that the power battery is good.
8. The system of claim 7, wherein the estimation module is further configured to:
the first change value and the change value of the chargeable electric quantity corresponding to the deterioration of the power battery are subjected to subtraction, and a second change value is determined;
and if the difference value between the current chargeable and dischargeable electric quantity of the power battery and the second change value is smaller than a second threshold value, determining that the power battery is close to the end of the service life.
9. The system for estimating the life of a power battery according to claim 8, further comprising: and prompting when the power battery is determined to be close to the end of the service life.
10. An electrical energy storage system, characterized in that a power battery and a life estimation system of the power battery according to any of claims 5-9 are provided.
CN202010065481.XA 2020-01-20 2020-01-20 Service life estimation method and system of power battery and power energy storage system Active CN111435151B (en)

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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101539613A (en) * 2008-03-17 2009-09-23 英华达股份有限公司 Method for estimating service life state of lithium cell
CN103326428A (en) * 2013-06-08 2013-09-25 东北电力大学 Energy storage system operation optimization control method for prolonging service life of lithium battery
CN103616647A (en) * 2013-12-09 2014-03-05 天津大学 Battery remaining capacity estimation method for electric car battery management system
CN104569847A (en) * 2015-01-28 2015-04-29 国网冀北电力有限公司电力科学研究院 Lithium battery performance evaluation method and device
JP2016223968A (en) * 2015-06-02 2016-12-28 ローム株式会社 Remaining battery life estimation device, remaining battery life estimation system, battery pack, and method for estimating remaining battery life
CN107045103A (en) * 2016-11-29 2017-08-15 北京长城华冠汽车科技股份有限公司 Electric automobile power battery endurance testing device and method
CN107884715A (en) * 2016-09-30 2018-04-06 中国电力科学研究院 A kind of battery cycle life detection method
CN109655750A (en) * 2019-01-31 2019-04-19 北汽福田汽车股份有限公司 Prediction technique, the prediction meanss of battery life
CN109663756A (en) * 2018-12-26 2019-04-23 蜂巢能源科技有限公司 Battery core screening technique and medium based on self-discharge rate

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101539613A (en) * 2008-03-17 2009-09-23 英华达股份有限公司 Method for estimating service life state of lithium cell
CN103326428A (en) * 2013-06-08 2013-09-25 东北电力大学 Energy storage system operation optimization control method for prolonging service life of lithium battery
CN103616647A (en) * 2013-12-09 2014-03-05 天津大学 Battery remaining capacity estimation method for electric car battery management system
CN104569847A (en) * 2015-01-28 2015-04-29 国网冀北电力有限公司电力科学研究院 Lithium battery performance evaluation method and device
JP2016223968A (en) * 2015-06-02 2016-12-28 ローム株式会社 Remaining battery life estimation device, remaining battery life estimation system, battery pack, and method for estimating remaining battery life
CN107884715A (en) * 2016-09-30 2018-04-06 中国电力科学研究院 A kind of battery cycle life detection method
CN107045103A (en) * 2016-11-29 2017-08-15 北京长城华冠汽车科技股份有限公司 Electric automobile power battery endurance testing device and method
CN109663756A (en) * 2018-12-26 2019-04-23 蜂巢能源科技有限公司 Battery core screening technique and medium based on self-discharge rate
CN109655750A (en) * 2019-01-31 2019-04-19 北汽福田汽车股份有限公司 Prediction technique, the prediction meanss of battery life

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