CN114184968B - Method, device and equipment for evaluating capacity of battery pack - Google Patents
Method, device and equipment for evaluating capacity of battery pack Download PDFInfo
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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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention provides a capacity evaluation method, a device and equipment of a battery pack, and relates to the technical field of batteries, wherein the capacity evaluation method comprises the following steps: acquiring detection data of charging and/or discharging of each battery string in a battery pack to be evaluated; determining a first battery string influencing the charge capacity performance of the battery pack to be evaluated and a second battery string influencing the discharge capacity performance of the battery pack to be evaluated according to the detection data; acquiring voltage data affecting capacity performance of the battery pack to be evaluated from the detection data; calculating the capacities of a first battery string and a second battery string respectively according to a fitting model of the SOC (state of charge) corresponding to the battery pack to be evaluated and the OCV (open circuit voltage) relationship and the voltage data; and calculating the capacity of the battery pack to be evaluated according to the capacities of the first battery string and the second battery string. The scheme of the invention realizes the rapid assessment of the capacity of the waste battery, and the assessment result has higher accuracy.
Description
Technical Field
The invention belongs to the technical field of batteries, and particularly relates to a capacity evaluation method, a capacity evaluation device and capacity evaluation equipment for a battery pack.
Background
Beginning in 2013, the electric passenger car enters a quick popularization period, and the installed quantity of the power battery also rises with the water. By 2017, the Chinese new energy automobile has a holding amount of more than 170 ten thousand. The actual service life of the power battery is 3 to 5 years, the battery packs in 2015 to 2017 reach the scrapping condition, the quantity of the waste and old battery packs in China is estimated to be about 25GWh (about 20 ten thousand tons) in 2020, and then more battery packs are scrapped every year, so that the continuous increment of the battery recycling market is brought. The huge market scale makes the recycling and echelon utilization of the waste power batteries urgent.
In the face of waste power batteries of the scale, related departments greatly promote the recycling of the waste power batteries, construct a recycling management mechanism and promote the establishment of a recycling system. However, many difficulties still exist in the aspect of recycling and detecting the waste power batteries:
(1) According to the residual energy detection scheme recommended in the residual energy detection in the prior art, the test period is long, the equipment cost is high, and the method is not applicable to large-scale recovery detection at all;
(2) The waste power battery packs have multiple types and wide varieties, the battery states are complex, the consistency is poor, and the detection efficiency is difficult to improve by utilizing a batch sampling detection mode;
(3) Most of the capacity prediction models and algorithms of the current battery packs are built according to the characteristics of battery cells through an internal resistance/impedance method, a power method, an ampere-hour integration method and the like, and the influence of the problems of poor consistency of the waste battery packs (groups), multiple interference factors and the like on algorithm application is not fully and deeply considered.
Disclosure of Invention
The embodiment of the invention aims to provide a capacity evaluation method, device and equipment for a battery pack, so that the problem of difficult capacity detection of a waste battery pack in the prior art is solved.
In order to achieve the above object, an embodiment of the present invention provides a capacity evaluation method of a battery pack, including:
acquiring charging and/or discharging detection data of each battery string in a battery pack to be evaluated;
determining a first battery string influencing the charge capacity performance of the battery pack to be evaluated and a second battery string influencing the discharge capacity performance of the battery pack to be evaluated according to the detection data;
in the detection data, voltage data affecting capacity performance of the battery pack to be evaluated is acquired, wherein the voltage data includes: a first start voltage and a first cut-off voltage of the first battery string; and a second start voltage and a second stop voltage of the second battery string;
calculating the capacities of the first battery string and the second battery string according to a fitting model of the SOC (state of charge) and OCV (open circuit voltage) relationship corresponding to the battery pack to be evaluated and the voltage data;
and calculating the capacity of the battery pack to be evaluated according to the capacities of the first battery string and the second battery string.
Optionally, determining, according to the detection data, a first battery string that affects the charge capacity performance of the battery pack to be evaluated, and a second battery string that affects the discharge capacity performance of the battery pack to be evaluated, including:
when the detection data are the charging detection data of the battery pack to be evaluated, acquiring a battery string with the highest charging cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest charging initial voltage in the battery pack to be evaluated as a second battery string; or,
when the detection data are discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest discharge starting voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string; or,
and when the detection data are the charge and discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string.
Optionally, when the detection data is charging detection data of the battery pack to be evaluated, acquiring a battery string with the highest charging cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest charging initial voltage in the battery pack to be evaluated as a second battery string, including:
when the number of the battery strings with the highest charge cut-off voltage is at least one, selecting the first battery string with the lowest charge initial voltage from the at least one battery string; and when the number of the battery strings with the lowest charge starting voltage is at least one, selecting the battery string with the highest charge starting cut-off voltage as the second battery string.
Optionally, when the detection data is discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest discharge starting voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string, including:
when the number of the battery strings with the highest discharge starting voltage is at least one, selecting the first battery string with the lowest discharge cut-off voltage in the at least one battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest discharge starting voltage as the second battery string.
Optionally, when the detection data is the charge and discharge detection data of the battery pack to be evaluated, acquiring the battery string with the highest charge cut-off voltage in the battery pack to be evaluated as a first battery string, and the battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string, including:
when the number of the battery strings with the highest charge cut-off voltage is at least one, selecting the battery string with the highest discharge cut-off voltage from at least one battery as the first battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest charge cut-off voltage from at least one battery as the second battery string.
Optionally, in the detection data, acquiring voltage data affecting capacity performance of the battery pack to be evaluated includes:
when the detection data are the charging detection data of the battery pack to be evaluated, the first starting voltage is the charging starting voltage of the first battery string, and the first cut-off voltage is the charging cut-off voltage of the first battery string; the second starting voltage is the charging starting voltage of the second battery string, and the second cut-off voltage is the charging cut-off voltage of the second battery string; or,
when the detection data are discharge detection data of the battery pack to be evaluated, the first starting voltage is a discharge starting voltage of the first battery string, and the first cut-off voltage is a discharge cut-off voltage of the first battery string; the second starting voltage is the discharge starting voltage of the second battery string, and the second cut-off voltage is the discharge cut-off voltage of the second battery string; or,
when the detection data are the charge and discharge detection data of the battery pack to be evaluated, the first starting voltage is the charge starting voltage of the first battery string, and the first cut-off voltage is the charge cut-off voltage of the first battery string; and the second starting voltage is the discharge starting voltage of the second battery string, and the second cut-off voltage is the discharge cut-off voltage of the second battery string.
Optionally, calculating the capacities of the first battery string and the second battery string according to the fitted model of the SOC and OCV relationship and the voltage data, where the fitted model includes:
pre-storing basic information of different battery packs and fitting models of the relation between SOC and OCV;
wherein the basic information includes: at least one of vehicle manufacturer information, vehicle model information, battery manufacturer information, battery cell manufacturer information, battery type information, battery system nominal voltage capacity information, single battery cell model information, and battery cell nominal voltage capacity information.
Optionally, pre-storing a fitting model of the state of charge versus voltage relationship of different battery packs, including:
for each battery pack, acquiring voltage data corresponding to the SOC of at least one group of the battery packs;
and carrying out linear interpolation processing on the voltage data corresponding to the at least one group of SOC to obtain a fitting model of the battery pack.
Optionally, according to a fitting model of the SOC-OCV relationship and the voltage data, the calculating the capacities of the first battery string and the second battery string includes:
acquiring basic information of the battery pack to be evaluated;
acquiring a fitting model of the SOC and the OCV relationship corresponding to the battery pack to be evaluated from the pre-stored basic information of different battery packs and fitting models of the SOC and the OCV relationship according to the basic information;
acquiring the SOCs of the first battery string and the second battery string according to the voltage data and the fitting model, wherein the SOCs comprise a start SOC and a stop SOC;
and respectively calculating the capacities of the first battery string and the second battery string according to the charge states of the first battery string and the second battery string.
Optionally, acquiring detection data of charging and/or discharging of each battery string in the battery pack to be evaluated, or includes:
and acquiring historical operation data of charging and/or discharging of each battery string in the battery pack to be evaluated, which is recorded by the vehicle to which the battery pack to be evaluated belongs.
The embodiment of the invention also provides a capacity evaluation device of the battery pack, which comprises:
the first acquisition module is used for acquiring charging and/or discharging detection data of each battery string in the battery pack to be evaluated;
the determining module is used for determining a first battery string influencing the charge capacity performance of the battery pack to be evaluated and a second battery string influencing the discharge capacity performance of the battery pack to be evaluated according to the detection data;
a second acquisition module, configured to acquire, in the detection data, voltage data that affects capacity performance of the battery pack to be evaluated, where the voltage data includes: a first start voltage and a first cut-off voltage of the first battery string; and a second start voltage and a second stop voltage of the second battery string;
the first calculation module is used for calculating the capacities of the first battery string and the second battery string respectively according to a fitting model of the SOC (state of charge) corresponding to the battery pack to be evaluated and the OCV (open circuit voltage) relationship and the voltage data;
and the second calculation module is used for calculating the capacity of the battery pack to be evaluated according to the capacities of the first battery string and the second battery string.
An embodiment of the present invention also provides a capacity evaluation apparatus of a battery pack, including: the battery pack capacity evaluation system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the battery pack capacity evaluation method when executing the computer program.
The technical scheme of the invention has at least the following beneficial effects:
according to the scheme provided by the embodiment of the invention, the capacity evaluation method is used for determining the battery strings of which the capacity performance is influenced under the preset working condition by detecting the difference of the voltage and the electric quantity change degree of each battery string in the one-section charging and/or discharging process of the battery pack to be evaluated, and considering different battery pack data sources and data types by utilizing the fitting model of the inherent SOC and OCV relation of the battery, so that the influence of the asymmetry between the superposition of the related parameters of each battery string and the overall performance of the battery pack on the evaluation result is avoided, and the quick, accurate and stepped evaluation of the capacity of the waste battery pack is realized.
Drawings
Fig. 1 is a step diagram of a capacity evaluation method of a battery pack according to an embodiment of the present invention;
FIG. 2 is a flowchart showing a method for evaluating the capacity of a battery pack according to an embodiment of the present invention;
fig. 3 is a schematic view of a capacity evaluation device of a battery pack according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided merely to facilitate a thorough understanding of embodiments of the invention. It will therefore be apparent to those skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
The embodiment of the invention provides a method, a device and equipment for evaluating the capacity of a battery pack, aiming at the problem that the capacity evaluation of a waste battery pack is difficult in the prior art.
An embodiment of the present invention provides a method for evaluating a capacity of a battery pack, referring to fig. 1, the method includes:
step S11, obtaining detection data of charging and/or discharging of each battery string in a battery pack to be evaluated;
step S12, according to the detection data, determining a first battery string influencing the charge capacity performance of the battery pack to be evaluated and a second battery string influencing the discharge capacity performance of the battery pack to be evaluated;
step S13, in the detection data, obtaining voltage data affecting capacity performance of the battery pack to be evaluated, wherein the voltage data includes: a first start voltage and a first cut-off voltage of the first battery string; and a second start voltage and a second stop voltage of the second battery string;
step S14, calculating the capacities of the first battery string and the second battery string respectively according to a fitting model of the relation between the SOC corresponding to the battery pack to be evaluated and the open-circuit voltage OCV and the voltage data;
step S15, calculating the capacity of the battery pack to be evaluated according to the capacities of the first battery string and the second battery string.
In the above embodiment of the present invention, the capacity evaluation method determines the battery strings of the battery pack to be evaluated, which affect the capacity performance under the preset working condition, by detecting the difference of the voltage and the electric quantity variation degree of each battery string in the one-stage charging and/or discharging process of the battery pack to be evaluated, fully considers the influence of the wooden barrel effect of the battery pack to be evaluated on the overall performance, considers the fitting model of the inherent SOC and OCV relationship of the battery, considers different battery pack data sources and data types, avoids the asymmetry between the superposition of the related parameters of each battery string and the overall performance of the battery pack, and realizes the rapid, accurate and staged evaluation of the waste battery pack capacity.
Referring to fig. 2, the following describes the above specific implementation procedure in combination with a specific implementation flow:
step one: the basic information of different vehicle battery packs is pre-stored in the database, and the basic information comprises the following contents: the method comprises the steps of rapidly establishing an evaluation model, and calling a proper evaluation model when the capacity of a waste battery pack is evaluated, wherein the evaluation model is a fitting model of the relation between the SOC and the OCV of the battery pack, and the fitting model is pre-stored in a database.
Here, taking the new energy vehicle model EU5 as an example, 2 battery packs are selected for capacity evaluation:
| vehicle manufacturer | New energy source of north steam |
| Vehicle model | EU5 |
| Battery manufacturer | Beijing Pride battery Co Ltd |
| Battery cell manufacturer | Ningde times New energy Co Ltd |
| Battery type | Ternary material |
| Battery system voltage | 357.7V |
| Battery system capacity (C) | 150Ah |
| Battery pack (battery module) connection mode | 1P4S |
| Battery cell model | ELE897 |
| Nominal capacity of cell | 150Ah |
| Nominal voltage of cell | 3.65V |
Step two: SOC and OCV detection of charging and/or discharging was performed according to the cell model ELE897 in the table above, wherein ambient temperature: 25 ℃, rate of discharge current: 1/3C (50 Ah), the corresponding OCV is recorded every 5% of the SOC, 21 groups of SOC-OCV detection data are collected in total, and a piecewise fitting model of the relation between the SOC of the battery model and the OCV is built by linear interpolation of every two groups of detection data.
And carrying out SOC-OCV detection on the 2 selected battery packs, and obtaining detection data as follows:
and establishing a segment fitting model of the relation between the SOC and the OCV according to the detection data, wherein the segment fitting model is as follows:
step three: and analyzing the voltage change condition of each battery string in the charging and/or discharging detection data of the battery pack to be evaluated, and obtaining the battery strings influencing the capacity performance of the battery pack to be evaluated by a multi-factor judging method.
The specific judging method comprises the following steps:
the step S12 includes: when the detection data are the charging detection data of the battery pack to be evaluated, acquiring a battery string with the highest charging cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest charging initial voltage in the battery pack to be evaluated as a second battery string;
here, when the number of battery strings having the highest charge cutoff voltage is at least one, selecting the first battery string having the lowest charge start voltage among the at least one battery string; and when the number of the battery strings with the lowest charge starting voltage is at least one, selecting the battery string with the highest charge starting cut-off voltage as the second battery string.
Or when the detection data is discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest discharge starting voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string;
here, when the number of the battery strings having the highest discharge start voltage is at least one, selecting the first battery string having the lowest discharge cut-off voltage among the at least one battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest discharge starting voltage as the second battery string.
Or when the detection data are the charge and discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string.
Here, when the number of battery strings having the highest charge cut-off voltage is at least one, selecting the first battery string having the highest discharge cut-off voltage among at least one battery; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest charge cut-off voltage from at least one battery as the second battery string.
According to the judging method, battery string numbers 01# and 02# affecting the capacity performance of the battery pack to be evaluated are obtained, and voltage data in the charging detection process are as follows:
step four: recording a voltage value before charge and discharge initiation and a voltage value after charge and discharge termination and shelve of a first battery string affecting the charge capacity performance of the battery pack to be evaluated by utilizing voltage data in charge and/or discharge detection processes of any current, any temperature and any duration in the battery pack to be evaluated, and requiring a long enough idle shelve time before and after charge and discharge; the voltage value before charge and discharge initiation and the voltage value after charge and discharge termination and after rest of the second battery string, which affect the discharge capacity performance of the battery pack to be evaluated, and the charge/discharge capacity value (Δc) are recorded.
In a specific embodiment of the present invention, the step S13 includes:
and detecting that the detection data is the charging of the battery pack to be evaluatedThe first initial voltage V 1-1 The first cut-off voltage V is the charge start voltage of the first battery string 1-2 A charge cutoff voltage for the first battery string; the second initial voltage V 2-1 The second cut-off voltage V is the charge start voltage of the second battery string 2-2 A charge cutoff voltage for the second battery string; or,
when the detection data is discharge detection data of the battery pack to be evaluated, the first starting voltage V 1-1 The first cut-off voltage V is the discharge start voltage of the first battery string 1-2 A discharge cutoff voltage for the first battery string; the second initial voltage V 2-1 The second cut-off voltage V is the discharge start voltage of the second battery string 2-2 A discharge cutoff voltage for the second battery string; or,
the first starting voltage V when the detection data is the charge and discharge detection data of the battery pack to be evaluated 1-1 The first cut-off voltage V is the charge start voltage of the first battery string 1-2 A charge cutoff voltage for the first battery string; the second initial voltage V 2-1 The second cut-off voltage V is the discharge start voltage of the second battery string 2-2 And a discharge cut-off voltage for the second battery string.
Specifically, taking the voltage data of each battery string in the above tables 01# and 02# battery packs as an example, the battery string that affects the charge capacity performance of the 01# battery pack is obtained as the 2 nd string, V 1-1 ＝3.667，V 1-2 =3.79; the battery string which affects the discharge capacity performance of the 01# battery pack is obtained as 3 rd string, V 2-1 ＝3.662，V 2-2 = 3.772; obtaining the battery string affecting the charge capacity performance of the 02# battery pack as the 3 rd string, V 1-1 ＝3.7，V 1-2 = 3.851; the battery string which affects the discharge capacity performance of the 02# battery pack was obtained as the 4 th string, V 2-1 ＝3.66，V 2-2 ＝3.776。
Step five: will V 1-1 、V 1-2 、V 2-1 And V 2-2 Substitution intoIn the fitting model of the SOC and the OCV, calculating the value of the SOC corresponding to the segmented OCV: SOC (State of Charge) 1-1 、SOC 1-2 、SOC 2-1 And SOC (System on chip) 2-2 . Then calculate the capacity value C of the first battery string affecting the charge capacity performance of the battery pack (pack) to be evaluated 1 And a capacity value C of a second battery string affecting discharge capacity performance of the battery pack (pack) to be evaluated 2 。
Wherein,
in a specific embodiment of the present invention, the step S14 includes:
acquiring basic information of the battery pack to be evaluated;
acquiring a fitting model of the SOC and the OCV relationship corresponding to the battery pack to be evaluated from the pre-stored basic information of different battery packs and fitting models of the SOC and the OCV relationship according to the basic information;
acquiring the SOCs of the first battery string and the second battery string according to the voltage data and the fitting model, wherein the SOCs comprise a start SOC and a stop SOC;
and calculating the capacities of the first battery string and the second battery string according to the SOCs of the first battery string and the second battery string.
For example, V of 01# battery pack 1-1 = 3.667 belonging to the interval 3.678 to 3.653, selecting the fitting model of the OCV interval as y=200x-690.6, calculating SOC 1-1 ＝200×3.667-690.6＝42.8％。
The specific calculation results of the 01# and 02# battery packs (groups) are shown in the following table:
step six: according to formula C =C 1 ×(100％-SOC 1-1 )+C 2 ×SOC 2-1 The capacity C of the battery pack to be evaluated is calculated.
The capacity of the 01# battery pack was calculated to be 121.7Ah, and the capacity of the 02# battery pack was calculated to be 111.8Ah.
In a specific embodiment of the present invention, the step S14 includes:
pre-storing basic information of different battery packs and fitting models of the relation between SOC and OCV;
wherein the basic information includes: at least one of vehicle manufacturer information, vehicle model information, battery manufacturer information, battery cell manufacturer information, battery type information, battery system nominal voltage capacity information, single battery cell model information, and battery cell nominal voltage capacity information.
Specifically, the fitting model for pre-storing the relation between the SOCs and the OCVs of different battery packs comprises the following steps:
for each battery pack, acquiring voltage data corresponding to the SOC of at least one group of the battery packs;
and carrying out linear interpolation processing on the voltage data corresponding to the at least one group of SOC to obtain a fitting model of the battery pack.
The fitting model is a segment fitting model of the SOC and OCV of the battery pack, and different fitting models are selected to calculate the corresponding SOC according to different OCV intervals.
In a specific embodiment of the present invention, the step S11 includes:
and acquiring historical operation data of charging and/or discharging of each battery string in the battery pack to be evaluated, which is recorded by the vehicle to which the battery pack to be evaluated belongs.
It should be noted that, when the battery Bao Gang to be evaluated is retired, that is, the historical operation data of the charging and/or discharging of each battery string in the battery pack to be evaluated recorded by the vehicle can be obtained, it is not necessary to re-obtain the charging and/or discharging detection data of the battery pack to be evaluated.
The capacity evaluation method has the following beneficial effects: and estimating the capacity of the waste battery pack by utilizing the detection data or the historical operation data of the waste battery pack part and combining a professional algorithm. The influence of the wooden barrel effect of the battery pack on the overall performance is fully considered, the asymmetry between the superposition of related parameters of each battery string and the overall performance of the battery is avoided, and the accuracy of the evaluation result is higher.
An embodiment of the present invention further provides a capacity evaluation device of a battery pack, referring to fig. 3, the capacity evaluation device includes:
a first acquisition module 31 that acquires detection data of charge and/or discharge of each battery string in a battery pack to be evaluated;
a determining module 32 for determining a first battery string affecting the charge capacity performance of the battery pack to be evaluated and a second battery string affecting the discharge capacity performance of the battery pack to be evaluated, based on the detection data;
a second acquisition module 33, configured to acquire, from the detection data, voltage data affecting capacity performance of the battery pack to be evaluated, where the voltage data includes: a first start voltage and a first cut-off voltage of the first battery string; and a second start voltage and a second stop voltage of the second battery string;
a first calculation module 34, configured to calculate capacities of the first battery string and the second battery string according to a fitting model of a relationship between the SOC and the OCV corresponding to the battery pack to be evaluated and the voltage data;
and a second calculation module 35, configured to calculate the capacity of the battery pack to be evaluated according to the capacities of the first battery string and the second battery string.
In the embodiment of the invention, the capacity evaluation device can be applied to SOC-OCV and partial charge and discharge data of the battery pack, has strong practicability and high capacity evaluation efficiency of the waste battery pack; and the influence of the wooden barrel effect of the battery pack on the overall performance is fully considered, so that the incorrectness between the superposition of related parameters of each battery string and the overall performance of the battery pack is avoided, and the accuracy of the capacity evaluation result is higher.
In one embodiment of the present invention, the determining module 32 specifically includes:
the first sub-acquisition module is used for acquiring a battery string with highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with lowest charge starting voltage in the battery pack to be evaluated as a second battery string when the detection data are charge detection data of the battery pack to be evaluated; or,
the second sub-acquisition module acquires a battery string with the highest discharge starting voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string when the detection data are discharge detection data of the battery pack to be evaluated; or,
and the third sub-acquisition module acquires a battery string with the highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and acquires a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string when the detection data are the charge and discharge detection data of the battery pack to be evaluated.
The first sub-acquisition module is specifically configured to: when the number of the battery strings with the highest charge cut-off voltage is at least one, selecting the first battery string with the lowest charge initial voltage from the at least one battery string; and when the number of the battery strings with the lowest charge starting voltage is at least one, selecting the battery string with the highest charge starting cut-off voltage as the second battery string.
The second sub-acquisition module is specifically configured to: when the number of the battery strings with the highest discharge starting voltage is at least one, selecting the first battery string with the lowest discharge cut-off voltage in the at least one battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest discharge starting voltage as the second battery string.
The third sub-acquisition module is specifically configured to: when the number of the battery strings with the highest charge cut-off voltage is at least one, selecting the battery string with the highest discharge cut-off voltage from at least one battery as the first battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest charge cut-off voltage from at least one battery as the second battery string.
In a specific embodiment of the present invention, the step S13 is specifically configured to:
when the detection data are the charging detection data of the battery pack to be evaluated, the first starting voltage is the charging starting voltage of the first battery string, and the first cut-off voltage is the charging cut-off voltage of the first battery string; the second starting voltage is the charging starting voltage of the second battery string, and the second cut-off voltage is the charging cut-off voltage of the second battery string; or,
when the detection data are discharge detection data of the battery pack to be evaluated, the first starting voltage is a discharge starting voltage of the first battery string, and the first cut-off voltage is a discharge cut-off voltage of the first battery string; the second starting voltage is the discharge starting voltage of the second battery string, and the second cut-off voltage is the discharge cut-off voltage of the second battery string; or,
when the detection data are the charge and discharge detection data of the battery pack to be evaluated, the first starting voltage is the charge starting voltage of the first battery string, and the first cut-off voltage is the charge cut-off voltage of the first battery string; and the second starting voltage is the discharge starting voltage of the second battery string, and the second cut-off voltage is the discharge cut-off voltage of the second battery string.
In a specific embodiment of the present invention, the second obtaining module 33 includes: the pre-storing module is used for pre-storing basic information of different battery packs and a fitting model of the relation between the SOC and the OCV; wherein the basic information includes: at least one of vehicle manufacturer information, vehicle model information, battery manufacturer information, battery cell manufacturer information, battery type information, battery system nominal voltage capacity information, single battery cell model information, and battery cell nominal voltage capacity information.
The pre-storing module is specifically configured to: for each battery pack, acquiring voltage data corresponding to the SOC of at least one group of the battery packs; and carrying out linear interpolation processing on the voltage data corresponding to the at least one group of SOC to obtain a fitting model of the battery pack.
The first computing module 34 is specifically configured to: acquiring basic information of the battery pack to be evaluated; acquiring a fitting model of the SOC and the OCV relationship corresponding to the battery pack to be evaluated from the pre-stored basic information of different battery packs and fitting models of the SOC and the OCV relationship according to the basic information; acquiring the SOCs of the first battery string and the second battery string according to the voltage data and the fitting model, wherein the SOCs comprise a start SOC and a stop SOC; and calculating the capacities of the first battery string and the second battery string according to the SOCs of the first battery string and the second battery string.
In a specific embodiment of the present invention, the first obtaining module 31 is either configured to: and acquiring historical operation data of charging and/or discharging of each battery string in the battery pack to be evaluated, which is recorded by the vehicle to which the battery pack to be evaluated belongs.
An embodiment of the present invention also provides a capacity evaluation apparatus of a battery pack, including: the battery pack capacity evaluation system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the battery pack capacity evaluation method when executing the computer program.
In the foregoing embodiments of the present invention, the capacity estimation device has the technical effects of the capacity estimation method described above, and will not be described herein.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (11)
1. A capacity evaluation method of a battery pack, comprising:
acquiring charging and/or discharging detection data of each battery string in a battery pack to be evaluated;
determining a first battery string influencing the charge capacity performance of the battery pack to be evaluated and a second battery string influencing the discharge capacity performance of the battery pack to be evaluated according to the detection data;
in the detection data, voltage data affecting capacity performance of the battery pack to be evaluated is acquired, wherein the voltage data includes: a first start voltage and a first cut-off voltage of the first battery string; and a second start voltage and a second stop voltage of the second battery string;
calculating the capacities of the first battery string and the second battery string according to a fitting model of the SOC (state of charge) and OCV (open circuit voltage) relationship corresponding to the battery pack to be evaluated and the voltage data;
calculating the capacity of the battery pack to be evaluated according to the capacities of the first battery string and the second battery string;
determining a first battery string affecting the charge capacity performance of the battery pack to be evaluated and a second battery string affecting the discharge capacity performance of the battery pack to be evaluated according to the detection data, comprising:
when the detection data are the charging detection data of the battery pack to be evaluated, acquiring a battery string with the highest charging cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest charging initial voltage in the battery pack to be evaluated as a second battery string; or,
when the detection data are discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest discharge starting voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string; or,
and when the detection data are the charge and discharge detection data of the battery pack to be evaluated, acquiring a battery string with the highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string.
2. The method according to claim 1, wherein when the detection data is charge detection data of the battery pack to be evaluated, acquiring a battery string having a highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string having a lowest charge start voltage in the battery pack to be evaluated as a second battery string, comprises:
when the number of the battery strings with the highest charge cut-off voltage is at least one, selecting the first battery string with the lowest charge initial voltage from the at least one battery string; and when the number of the battery strings with the lowest charge starting voltage is at least one, selecting the battery string with the highest charge starting cut-off voltage as the second battery string.
3. The method according to claim 1, wherein when the detection data is discharge detection data of the battery pack to be evaluated, acquiring a battery string having a highest discharge start voltage in the battery pack to be evaluated as a first battery string and a battery string having a lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string, comprises:
when the number of the battery strings with the highest discharge starting voltage is at least one, selecting the first battery string with the lowest discharge cut-off voltage in the at least one battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest discharge starting voltage as the second battery string.
4. The method according to claim 1, wherein when the detection data is charge and discharge detection data of the battery pack to be evaluated, acquiring a battery string having a highest charge cutoff voltage in the battery pack to be evaluated as a first battery string and a battery string having a lowest discharge cutoff voltage in the battery pack to be evaluated as a second battery string, comprises:
when the number of the battery strings with the highest charge cut-off voltage is at least one, selecting the battery string with the highest discharge cut-off voltage from at least one battery as the first battery string; and when the number of the battery strings with the lowest discharge cut-off voltage is at least one, selecting the battery string with the highest charge cut-off voltage from at least one battery as the second battery string.
5. The capacity evaluation method of a battery pack according to claim 1, wherein acquiring voltage data affecting capacity performance of the battery pack to be evaluated from the detection data includes:
when the detection data are the charging detection data of the battery pack to be evaluated, the first starting voltage is the charging starting voltage of the first battery string, and the first cut-off voltage is the charging cut-off voltage of the first battery string; the second starting voltage is the charging starting voltage of the second battery string, and the second cut-off voltage is the charging cut-off voltage of the second battery string; or,
when the detection data are discharge detection data of the battery pack to be evaluated, the first starting voltage is a discharge starting voltage of the first battery string, and the first cut-off voltage is a discharge cut-off voltage of the first battery string; the second starting voltage is the discharge starting voltage of the second battery string, and the second cut-off voltage is the discharge cut-off voltage of the second battery string; or,
when the detection data are the charge and discharge detection data of the battery pack to be evaluated, the first starting voltage is the charge starting voltage of the first battery string, and the first cut-off voltage is the charge cut-off voltage of the first battery string; and the second starting voltage is the discharge starting voltage of the second battery string, and the second cut-off voltage is the discharge cut-off voltage of the second battery string.
6. The method according to claim 1, wherein calculating the capacities of the first battery string and the second battery string, respectively, based on the voltage data and a fitting model of a state of charge SOC and an open circuit voltage OCV relationship corresponding to the battery pack to be evaluated, previously includes:
pre-storing basic information of different battery packs and fitting models of the relation between SOC and OCV;
wherein the basic information includes: at least one of vehicle manufacturer information, vehicle model information, battery manufacturer information, battery cell manufacturer information, battery type information, battery system nominal voltage capacity information, single battery cell model information, and battery cell nominal voltage capacity information.
7. The method of capacity assessment of a battery pack according to claim 6, wherein pre-storing a fitting model of SOC versus OCV for different battery packs, comprises:
for each battery pack, acquiring voltage data corresponding to the SOC of at least one group of the battery packs;
and carrying out linear interpolation processing on the voltage data corresponding to the at least one group of SOC to obtain a fitting model of the battery pack.
8. The capacity evaluation method of a battery pack according to claim 1, wherein calculating capacities of the first battery string and the second battery string, respectively, from a fitting model of a state of charge SOC and an open circuit voltage OCV relationship corresponding to the battery pack to be evaluated and the voltage data, comprises:
acquiring basic information of the battery pack to be evaluated;
acquiring a fitting model of the SOC and the OCV relationship corresponding to the battery pack to be evaluated from the pre-stored basic information of different battery packs and fitting models of the SOC and the OCV relationship according to the basic information;
acquiring the SOCs of the first battery string and the second battery string according to the voltage data and the fitting model, wherein the SOCs comprise a start SOC and a stop SOC;
and calculating the capacities of the first battery string and the second battery string according to the SOCs of the first battery string and the second battery string.
9. The capacity evaluation method of a battery pack according to claim 1, wherein detection data of charge and/or discharge of each battery string in the battery pack to be evaluated is acquired, or comprising:
and acquiring historical operation data of charging and/or discharging of each battery string in the battery pack to be evaluated, which is recorded by the vehicle to which the battery pack to be evaluated belongs.
10. A capacity evaluation device of a battery pack, characterized by comprising:
the first acquisition module is used for acquiring detection data of charging and/or discharging of each battery string in the battery pack to be evaluated;
the determining module is used for determining a first battery string influencing the charge capacity performance of the battery pack to be evaluated and a second battery string influencing the discharge capacity performance of the battery pack to be evaluated according to the detection data;
a second acquisition module, configured to acquire, in the detection data, voltage data that affects capacity performance of the battery pack to be evaluated, where the voltage data includes: a first start voltage and a first cut-off voltage of the first battery string; and a second start voltage and a second stop voltage of the second battery string;
the first calculation module is used for calculating the capacities of the first battery string and the second battery string respectively according to a fitting model of the SOC (state of charge) corresponding to the battery pack to be evaluated and the OCV (open circuit voltage) relationship and the voltage data;
a second calculation module, configured to calculate a capacity of the battery pack to be evaluated according to capacities of the first battery string and the second battery string;
the determining module specifically includes:
the first sub-acquisition module is used for acquiring a battery string with highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and a battery string with lowest charge starting voltage in the battery pack to be evaluated as a second battery string when the detection data are charge detection data of the battery pack to be evaluated; or,
the second sub-acquisition module acquires a battery string with the highest discharge starting voltage in the battery pack to be evaluated as a first battery string and a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string when the detection data are discharge detection data of the battery pack to be evaluated; or,
and the third sub-acquisition module acquires a battery string with the highest charge cut-off voltage in the battery pack to be evaluated as a first battery string and acquires a battery string with the lowest discharge cut-off voltage in the battery pack to be evaluated as a second battery string when the detection data are the charge and discharge detection data of the battery pack to be evaluated.
11. A capacity evaluation apparatus of a battery pack, characterized by comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which processor, when executing the computer program, implements the method of capacity assessment of a battery pack according to any one of claims 1 to 9.
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