CN117452265A - Method, system and equipment for estimating capacity attenuation of power battery - Google Patents
Method, system and equipment for estimating capacity attenuation of power battery Download PDFInfo
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- G—PHYSICS
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- 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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- 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
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- 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]
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Abstract
The application relates to the technical field of power batteries, and particularly discloses a capacity attenuation estimation method, a system and equipment of a power battery. The capacity fade estimation method of the power battery comprises the following steps: acquiring data screening conditions and charging data of a power battery reported by a vehicle; screening out effective charging data; integrating the charging current of each charging time point according to the effective charging data to obtain the charging electric quantity in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery; the nominal capacity of the power battery is obtained, the ratio of the available capacity to the nominal capacity is obtained, and the capacity attenuation of the power battery is obtained according to the ratio. By adopting the method and the device, the power battery attenuation condition estimation accuracy and reliability are high, and furthermore, the health state of the power battery can be accurately and reliably judged, so that the use strategies of charging and the power battery can be timely adjusted, and the purpose of prolonging the service life of the power battery is achieved.
Description
Technical Field
The present disclosure relates to the field of power battery technologies, and in particular, to a method, a system, and an apparatus for estimating capacity fade of a power battery.
Background
In an electric vehicle or a hybrid vehicle, capacity degradation of a power battery is an important indicator, and directly affects the service life of the power battery and the endurance mileage of the vehicle. At present, an estimation method for battery capacity attenuation is mainly calculated based on laboratory test data, and the following technical problems exist:
laboratory test data is usually tested under specific operating conditions of a vehicle, so that the accuracy and reliability of the estimated battery capacity degradation are relatively low, however, at the actual market end, the vehicle operating conditions are complex, the battery capacity degradation estimated by the laboratory test data cannot accurately reflect the actual condition of a power battery in the actual vehicle, and differences often exist, and further complaints of users are easily caused.
Disclosure of Invention
Based on the above, it is necessary to provide a method, a system and a device for estimating the capacity attenuation of a power battery, which have the advantages of high accuracy and reliability of estimating the attenuation of the power battery, and further, can accurately and reliably judge the health status of the power battery, so as to adjust the charging and the use strategy of the power battery in time, thereby achieving the purpose of prolonging the service life of the power battery.
In a first aspect, a method for estimating capacity fade of a power battery is provided, including:
acquiring data screening conditions and charging data of a power battery reported by a vehicle;
screening effective charging data from the charging data according to the data screening conditions;
integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
In some examples, the data filtering condition includes part or all of a charging mode, a charging data selecting range, and a charging condition, and the filtering valid charging data from the charging data according to the data filtering condition includes:
determining a charging mode corresponding to the charging data according to the charging current and the charging power in the charging data, and screening effective charging data adopting the charging mode specified by the data screening condition from the charging data;
and/or determining a state of charge range according to the charge data selection range, and selecting effective charge data positioned in the state of charge range from the charge data;
and/or eliminating the charging data with the charging current smaller than the preset charging current and the duration reaching the preset time from the charging data according to the charging condition to obtain effective charging data.
In some examples, before integrating the charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in the charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity, the method further includes:
judging whether the maximum voltage difference between the single batteries of the power battery is larger than a preset voltage difference in the charging process according to the effective charging data;
if yes, judging that the effective charging data comprises abnormal data;
and eliminating abnormal data from the effective charging data.
In some examples, integrating the charging current at each charging time point according to the effective charging data to obtain a charging capacity of the power battery within a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging capacity, where the method includes:
integrating the charging current according to the charging current at each charging time point and the reporting time interval in the effective charging data of the power battery reported each time to obtain the charging electric quantity at each charging time point;
obtaining the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data according to the charging electric quantity of each charging time point;
and estimating the available capacity of the whole charging interval range of the power battery according to the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data.
In some examples, the estimating the available capacity of the whole charging interval range of the power battery according to the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data includes:
obtaining the charging data selection range, and obtaining the ratio of the sum of the charging electric quantity in the available capacity of the power battery;
and obtaining the available capacity of the power battery according to the sum of the duty ratio and the charging electric quantity.
In some examples, prior to obtaining the ratio of the available capacity to the nominal capacity and deriving the capacity fade of the power cell from the ratio, further comprising:
obtaining heating start-stop time of the power battery in the charging process corresponding to the effective charging data;
and correcting the available capacity of the power battery according to the heating start-stop time.
In some examples, the modifying the available capacity of the power cell based on the heating start-stop time includes:
estimating the charge quantity in the heating start-stop time;
and taking the difference between the available capacity of the power battery and the charged electric quantity as a correction result of the available capacity of the power battery.
In some examples, after deriving the capacity fade of the power cell, further comprising:
rechecking the capacity decay of the power battery;
and determining whether the power battery is abnormal or not according to the rechecking result.
In a second aspect, there is provided a capacity fade estimation system for a power cell, comprising:
the acquisition module is used for acquiring data screening conditions and charging data of the power battery reported by the vehicle;
the screening module is used for screening effective charging data from the charging data according to the data screening conditions;
the estimation module is used for integrating the charging current of each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
and the capacity attenuation determining module is used for obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity and obtaining the capacity attenuation of the power battery according to the ratio.
In a third aspect, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for estimating the capacity fade of a power battery according to the implementation manner of the first aspect.
In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the capacity fade estimation method of a power battery of the implementation manner of the first aspect described above.
By adopting the embodiment of the application, according to the data screening conditions, accurate and reliable charging data can be screened out from the reported charging data of the power battery, so that the estimated available capacity of the power battery according to the effective charging data has the advantages of high accuracy and reliability, and according to the estimated available capacity, the attenuation condition of the power battery can be determined, namely: the attenuation degree of the battery capacity can be accurately estimated, and the health state of the power battery can be accurately and reliably judged, so that the charging and the use strategy of the power battery can be timely adjusted, and the purpose of prolonging the service life of the power battery is achieved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
FIG. 1 is a flow chart of a method for estimating capacity fade of a power cell according to an embodiment of the present application;
FIG. 2 is a block diagram of a power cell capacity fade estimation system according to an embodiment of the present application;
fig. 3 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to examples and figures. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to be limiting. It should be noted that, for convenience of description, only the portions related to the application are shown in the drawings.
It should be noted that, without conflict, the embodiments herein, i.e., features of the embodiments, may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
A capacity fade estimation method, system, and apparatus for a power battery according to embodiments of the present application are described in detail below with reference to the accompanying drawings.
In the implementation environment of the application embodiment, the personal computing equipment, such as a computer, a mobile terminal and the like, can obtain the data screening condition and the charging data of the power battery reported by the vehicle; screening effective charging data from the charging data according to the data screening conditions; integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity; obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
Alternatively, it may be implemented by a server, for example: the personal computing equipment sends a request to a server, and the server obtains data screening conditions and charging data of a power battery reported by the vehicle; screening effective charging data from the charging data according to the data screening conditions; integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity; obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, obtaining the capacity attenuation of the power battery according to the ratio, and finally returning the stored file to the personal computing device.
The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (content delivery network, CDN), and computing services of basic clouds such as big data and artificial intelligent platforms.
Fig. 1 is a flowchart of a method of estimating capacity fade of a power cell according to one embodiment of the present application. As shown in fig. 1, a method for estimating capacity fade of a power battery according to an embodiment of the present application specifically includes:
s101: and obtaining data screening conditions and charging data of the power battery reported by the vehicle.
The data screening conditions can be preset or defined by the user according to the needs. Wherein, the data screening condition includes, but is not limited to, a part or all of a charging mode, a charging data selection range and a charging condition.
In a specific example, the charging mode is, for example, a slow charging mode, and the slow charging mode may be divided into different slow charging modes according to the charging power, for example: for the common two kinds of charging power slow charging piles, the charging pile is divided into a slow charging mode I and a slow charging mode II, and the charging power can be determined according to CC signals, CP signals and the like after the charging port of the electric automobile or the hybrid electric automobile is connected to the slow charging pile. For example: and charging the vehicle for 5 times within 1 month, wherein 3 times adopt direct current fast charging, 1 time adopt a slow charging mode I for charging, 1 time adopts a slow charging mode II for charging, and the charging mode is a slow charging mode I, and for the 5 times of charging data, the charging data of the power battery which is charged by the slow charging mode I is screened out.
The charging data selection range may be divided according to the state of charge SOC (State of Charge) of the power battery, for example: the start of the charging data selection range is set to be equal to or more than 30% and the end is set to be equal to or less than 85% of SOC, and the charging data that the SOC of the power battery is between 30% and 85% in the charging process of the selected power battery is indicated. Assuming that charging data for charging the power battery by adopting the slow charging mode comprises charging data of which the SOC of the power battery is in 20 percent and 95 percent, the charging data of which the SOC of the power battery is between 30 percent and 85 percent is screened from the charging data of which the SOC of the power battery is in 20 percent and 95 percent.
It should be noted that, the setting of the charging data selection range should avoid the power battery charging start phase and the power battery charging end phase, for example: when the SOC of the power battery is about 30% at the start of charging the power battery and about 85% at the end of charging the power battery, the range can be appropriately narrowed when the charging data selection range is set, for example: the initial state of charge (SOC) of the charging data selection range is more than or equal to 40% and the end state of charge (SOC) is less than or equal to 70%. In this way, some potentially invalid charging data may be effectively filtered out, namely: the charging data at the beginning and the end of charging are removed, and the power battery charging initial stage usually has a power-on initialization process, a power battery heating process and the like, and the charging current is unstable, so that the setting of the charging data selection range should be avoided. And the following steps: at the end of the charging period, the charging current is typically reduced, and thus the setting of the charging data selection range should be avoided.
The charging condition generally refers to that charging data with charging stop is removed in a single charging process, for example: and eliminating the charging data of the stage that the charging current is less than or equal to 1A and lasts for a certain time (such as 10 minutes).
Taking the cloud server as an example, when the power battery is charged each time, the vehicle reports charging data in the charging process to the cloud server at a preset frequency, so that big data in the charging process of the power battery are stored on the cloud server along with the time. Therefore, the cloud server can screen out effective charging data meeting the requirements in one charging process of the power battery from the big data according to the data screening conditions.
S102: and screening effective charging data from the charging data according to the data screening conditions.
In one embodiment of the present application, according to a data screening condition, screening effective charging data from charging data of a power battery reported by a vehicle includes: and screening out part or all of effective charging data corresponding to the charging mode, the charging data selection range and the charging conditions from the reported charging data of the power battery. Specifically, according to the charging current and the charging power in the charging data, a charging mode corresponding to the charging data is determined, and effective charging data of the charging mode designated by the data screening condition is screened out from the charging data; and/or determining a state of charge range according to the charge data selection range, and selecting effective charge data positioned in the state of charge range from the charge data; and/or eliminating the charging data with the charging current smaller than the preset charging current and the duration reaching the preset time from the charging data according to the charging condition to obtain effective charging data. For example: the data screening conditions are set to be in the first slow charge mode, the SOC of the power battery is between [30% and 85% ], and the charging conditions are used for eliminating the charging data with the charging current less than or equal to 1A and lasting for a certain time, and the effective charging data in the charging process of the power battery adopting the first slow charge mode, the SOC of the power battery is between [30% and 85% ] and eliminating the charging current less than or equal to 1A and lasting for a certain time can be screened out based on the set data screening conditions.
S103: and integrating the charging current of each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity.
It should be noted that, in order to improve the accuracy and reliability of the estimated available capacity of the power battery, before integrating the charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in the charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity, the method may further include: judging whether the effective charging data comprises abnormal data or not; if so, eliminating abnormal data from the effective charging data. Specifically, according to the effective charging data, judging whether the situation that the maximum voltage difference between the single batteries of the power battery is larger than a preset voltage difference exists in the charging process; if yes, judging that the effective charging data comprises abnormal data; and eliminating abnormal data from the effective charging data. For example: and in the charging process of the screened effective charging data, if the voltage difference between the single batteries of the power battery is larger than 150mV, judging that the recorded data is invalid, namely invalid data, and cleaning the charging data.
In an embodiment of the present application, according to the effective charging data, integrating charging currents at each charging time point to obtain a charging capacity of the power battery within a charging data selection range corresponding to the effective charging data, and obtaining an available capacity of the power battery according to the charging capacity, including: integrating the charging current according to the charging current at each charging time point and the reporting time interval in the effective charging data of the power battery reported each time to obtain the charging electric quantity at each charging time point; obtaining the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data according to the charging electric quantity of each charging time point; and estimating the available capacity of the whole charging interval range of the power battery according to the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data.
Specifically, in the process of charging the power battery, the reported charging data is reported at a certain frequency, for example: the charging data is reported once at 30 second intervals. Therefore, according to the time interval between two adjacent reports and the charging current in the effective charging data of each report, an ampere-hour integration method is adopted to calculate the sum of the charging electric quantity of the power battery in the charging data selection range corresponding to the effective charging data, and then the available capacity of the power battery is obtained according to the sum of the charging electric quantity.
Further, estimating the available capacity of the whole charging interval range of the power battery according to the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data, including: obtaining the charging data selection range, and obtaining the ratio of the sum of the charging electric quantity in the available capacity of the power battery; and obtaining the available capacity of the power battery according to the sum of the duty ratio and the charging electric quantity.
For example: and if the charging data selection range is that the SOC of the power battery is between [30 percent, 65 percent ], calculating the sum of the charging electric quantity of the power battery in the charging data selection range corresponding to the effective charging data as follows: the SOC of the power battery is between [30%,55% ] and the charged power. And [30%,55% ] is 1/4 of the whole interval [0%,100% ] of the SOC of the power battery, so that the SOC of the power battery can be positioned between [30%,55% ] and the charged electric quantity can be divided by 1/4, and the available capacity of the power battery can be obtained. And the following steps: calculating the sum of the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data as follows: the SOC of the power battery is between [30%,80% ] and the charged power. And [30%,80% ] is 1/2 of the whole interval [0%,100% ] of the SOC of the power battery, so that the SOC of the power battery can be positioned between [30%,85% ] and the charged electric quantity can be divided by 1/2, and the available capacity of the power battery can be obtained.
During charging of the power battery, there may be a heating process of the power battery, and thus, the available capacity of the power battery estimated according to the effective charging data needs to be corrected, and in a specific example, before obtaining the ratio of the available capacity to the nominal capacity and obtaining the capacity fade of the power battery according to the ratio, the method further includes: obtaining heating start-stop time of the power battery in the charging process corresponding to the effective charging data; and correcting the available capacity of the power battery according to the heating start-stop time.
Further, correcting the available capacity of the power battery according to the heating start-stop time, including: estimating the charge quantity in the heating start-stop time; and taking the difference between the available capacity of the power battery and the charged electric quantity as a correction result of the available capacity of the power battery.
For example: the total time corresponding to the effective charge data is 5 hours, the SOC of the corresponding power battery is changed from 30% to 85%, and assuming that the SOC of the power battery estimated by the ampere-hour integration method is changed from 30% to 85% and the available capacity of the power battery is 50, it is understood that the estimated available capacity of the power battery is determined based on the 5 hours, but in the actual charging process, there may be a period of 5 hours in which 10 minutes is during the heating of the power battery, and the charging of the power battery is performed within the 10 minutes, so that the amount of electricity charged for the 10 minutes, for example, 3, may be estimated, and the correction result is: 50-3=47, i.e.: the corrected power cell has a usable capacity of 47.
S104: obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
Wherein the nominal capacity of the power cell may be derived from data provided by the power cell manufacturer. In this way, the capacity fade of the power cell can be obtained from the nominal capacity and the available capacity.
The capacity fade may be represented by the state of health SOH (State of Health) of the power cell, namely: SOH = available capacity/nominal capacity. For example: the nominal capacity is 80, the available capacity is 70, and the soh=70/80=87.5% of the power battery is obtained, and after the soh=70/80=87.5% of the power battery is obtained, the capacity attenuation condition of the power battery can be determined according to the SOH or the ratio of the available capacity to the nominal capacity, for example: the SOH of the power cell was 87.5%, indicating a 12.5% capacity fade of the power cell.
According to the capacity attenuation estimation method of the power battery, according to the data screening conditions, accurate and reliable charging data can be screened out from the reported charging data of the power battery, so that the estimated available capacity of the power battery according to the effective charging data has the advantages of high accuracy and reliability, and according to the estimated available capacity, the attenuation condition of the power battery can be determined, namely: the attenuation degree of the battery capacity can be accurately estimated, and the health state of the power battery can be accurately and reliably judged, so that the charging and the use strategy of the power battery can be timely adjusted, and the purpose of prolonging the service life of the power battery is achieved.
In one embodiment of the present application, after obtaining the capacity fade of the power battery, further comprising: rechecking the capacity decay of the power battery; and determining whether the power battery is abnormal or not according to the rechecking result. For example: the SOH of the power battery estimated by the battery management system (BMS, battery Management System) is verified according to the SOH of the power battery estimated by the embodiment of the present application, if the SOH of the power battery estimated by the embodiment of the present application is within the error tolerance range or the SOH of the power battery estimated by the embodiment of the present application is within a reasonable interval of the SOH of the power battery estimated by the battery management system, the attenuation condition of the battery can be determined according to the SOH of the power battery estimated by the embodiment of the present application, otherwise, the attenuation condition is estimated according to the charging data of other charging processes of the power battery. Assuming that 10 times of the attenuation is estimated by the method of the embodiment of the present application, 9 times of the attenuation is not abnormal and the verification is passed, the power battery is considered to be not abnormal. Of course, the SOH obtained in the embodiment of the present application may also be verified according to the SOH determined by multiplying the nominal capacity of the power battery delivered by the estimation coefficient along with the charge-discharge cycle process.
According to the capacity attenuation estimation method of the power battery, the method has the advantages of high accuracy and reliability of power battery attenuation condition estimation, and furthermore, the health state of the power battery can be accurately and reliably judged, so that the charging and the use strategy of the power battery can be timely adjusted, and the purpose of prolonging the service life of the power battery is achieved.
Fig. 2 is a block diagram of a capacity fade estimation system of a power cell according to an embodiment of the present application. As shown in fig. 2, a capacity fade estimation system of a power battery according to an embodiment of the present application includes: an acquisition module 210, a screening module 220, an estimation module 230, and a capacity fade determination module 240, wherein:
the acquiring module 210 is configured to acquire data screening conditions and charging data of the power battery reported by the vehicle;
a screening module 220, configured to screen effective charging data from the charging data according to the data screening condition;
the estimation module 230 is configured to integrate charging currents at each charging time point according to the effective charging data, obtain a charging electric quantity of the power battery within a charging data selection range corresponding to the effective charging data, and obtain an available capacity of the power battery according to the charging electric quantity;
a capacity fade determination module 240, configured to obtain a nominal capacity of the power battery, obtain a ratio of the available capacity to the nominal capacity, and obtain a capacity fade of the power battery according to the ratio.
According to the capacity attenuation estimation system of the power battery, according to the data screening conditions, accurate and reliable charging data can be screened out from the reported charging data of the power battery, so that the estimated available capacity of the power battery according to the effective charging data has the advantages of high accuracy and reliability, and according to the estimated available capacity, the attenuation condition of the power battery can be determined, namely: the attenuation degree of the battery capacity can be accurately estimated, and the health state of the power battery can be accurately and reliably judged, so that the charging and the use strategy of the power battery can be timely adjusted, and the purpose of prolonging the service life of the power battery is achieved.
Specific limitations regarding the capacity fade estimation system of the power battery may be found in the above description of the capacity fade estimation system of the power battery, and will not be described in detail herein.
In one embodiment, a computer device is provided. Fig. 3 is a block diagram of a computer device provided in an embodiment of the present application, and reference is made to fig. 3. The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the capacity fade estimation method embodiment of the power battery. For example, perform:
acquiring data screening conditions and charging data of a power battery reported by a vehicle;
screening effective charging data from the charging data according to the data screening conditions;
integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the processor executes the computer program to realize the embodiment of the capacity attenuation estimation method of the power battery. For example, perform:
acquiring data screening conditions and charging data of a power battery reported by a vehicle;
screening effective charging data from the charging data according to the data screening conditions;
integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
Embodiments of the present application provide a computer program product comprising instructions which, when executed, cause a method as described in embodiments of the present application to be performed. For example, various steps of the capacity fade estimation method of the power battery shown in fig. 1 may be performed, such as:
acquiring data screening conditions and charging data of a power battery reported by a vehicle;
screening effective charging data from the charging data according to the data screening conditions;
integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
Those skilled in the art will appreciate that all or part of the processes in implementing the above embodiments may be implemented by a computer program for instructing relevant hardware, and the computer program may be stored in a non-volatile computer readable storage medium, and the computer program may include processes in the embodiments of the above methods when executed. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features of each of the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not thereby to be construed as limiting the scope of the claims. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A method of estimating capacity fade of a power cell, comprising:
acquiring data screening conditions and charging data of a power battery reported by a vehicle;
screening effective charging data from the charging data according to the data screening conditions;
integrating charging current at each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity, and obtaining the capacity attenuation of the power battery according to the ratio.
2. The method according to claim 1, wherein the data screening conditions include some or all of a charging mode, a charging data selection range, and a charging condition, and the screening effective charging data from the charging data according to the data screening conditions includes:
determining a charging mode corresponding to the charging data according to the charging current and the charging power in the charging data, and screening effective charging data adopting the charging mode specified by the data screening condition from the charging data;
and/or determining a state of charge range according to the charge data selection range, and selecting effective charge data positioned in the state of charge range from the charge data;
and/or eliminating the charging data with the charging current smaller than the preset charging current and the duration reaching the preset time from the charging data according to the charging condition to obtain effective charging data.
3. The method for estimating capacity fade of a power battery according to claim 1, wherein before integrating charging currents at each charging time point according to the effective charging data to obtain a charging capacity of the power battery within a charging data selection range corresponding to the effective charging data, and obtaining an available capacity of the power battery according to the charging capacity, further comprising:
judging whether the maximum voltage difference between the single batteries of the power battery is larger than a preset voltage difference in the charging process according to the effective charging data;
if yes, judging that the effective charging data comprises abnormal data;
and eliminating abnormal data from the effective charging data.
4. The method for estimating capacity fade of a power battery according to claim 1, wherein integrating charging current at each charging time point according to the effective charging data to obtain a charging capacity of the power battery within a charging data selection range corresponding to the effective charging data, and obtaining an available capacity of the power battery according to the charging capacity comprises:
integrating the charging current according to the charging current at each charging time point and the reporting time interval in the effective charging data of the power battery reported each time to obtain the charging electric quantity at each charging time point;
obtaining the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data according to the charging electric quantity of each charging time point;
and estimating the available capacity of the whole charging interval range of the power battery according to the sum of the charging electric quantity in the charging data selection range corresponding to the effective charging data.
5. The method for estimating capacity fade of a power battery according to claim 4, wherein said estimating the available capacity of the power battery over the entire charging interval range from the sum of the charge amounts in the charging data selection range corresponding to the effective charge data comprises:
obtaining the charging data selection range, and obtaining the ratio of the sum of the charging electric quantity in the available capacity of the power battery;
and obtaining the available capacity of the power battery according to the sum of the duty ratio and the charging electric quantity.
6. The method of estimating a capacity fade as set forth in any one of claims 1 to 5, characterized by further comprising, before obtaining a ratio of said available capacity to said nominal capacity and deriving a capacity fade of said power battery from said ratio:
obtaining heating start-stop time of the power battery in the charging process corresponding to the effective charging data;
and correcting the available capacity of the power battery according to the heating start-stop time.
7. The method of estimating a capacity fade of a power cell as defined in claim 6, wherein said correcting an available capacity of said power cell based on said heating start-stop time includes:
estimating the charge quantity in the heating start-stop time;
and taking the difference between the available capacity of the power battery and the charged electric quantity as a correction result of the available capacity of the power battery.
8. The method of estimating capacity fade of a power cell as defined in claim 1, further comprising, after obtaining the capacity fade of the power cell:
rechecking the capacity decay of the power battery;
and determining whether the power battery is abnormal or not according to the rechecking result.
9. A capacity fade estimation system for a power cell, comprising:
the acquisition module is used for acquiring data screening conditions and charging data of the power battery reported by the vehicle;
the screening module is used for screening effective charging data from the charging data according to the data screening conditions;
the estimation module is used for integrating the charging current of each charging time point according to the effective charging data to obtain the charging electric quantity of the power battery in a charging data selection range corresponding to the effective charging data, and obtaining the available capacity of the power battery according to the charging electric quantity;
and the capacity attenuation determining module is used for obtaining the nominal capacity of the power battery, obtaining the ratio of the available capacity to the nominal capacity and obtaining the capacity attenuation of the power battery according to the ratio.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a method for estimating the capacity fade of a power cell according to any of claims 1-8 when executing the program.
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