CN115480180A - New energy battery health diagnosis and analysis method - Google Patents
New energy battery health diagnosis and analysis method Download PDFInfo
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Abstract
The invention discloses a new energy battery health diagnosis and analysis method, which divides a new energy battery pack into sub-batteries, analyzes battery discharge capacity corresponding to each sub-battery in each set temperature test in each designated time period, analyzes discharge capacity retention index and discharge capacity matching index in each sub-battery corresponding to each set temperature test, further comprehensively analyzes discharge state evaluation coefficient in each sub-battery corresponding to each set temperature test, realizes analysis of discharge state evaluation coefficient of each sub-battery in each set temperature test, can accurately position abnormal discharge state of each sub-battery in each set temperature test to a certain extent, greatly improves accuracy of discharge state monitoring and analysis of the new energy battery, breaks through limitation of discharge state evaluation of the new energy battery in the current technology, and further provides powerful data support for subsequent new energy battery health evaluation.
Description
Technical Field
The invention relates to the technical field of new energy battery health diagnosis and analysis, in particular to a new energy battery health diagnosis and analysis method.
Background
With the rapid development and wide application of network technology, big data technology and artificial intelligence technology, the consumption of various energy sources is increasing day by day, and the related technologies such as energy conservation and environmental protection are highly regarded, and under the big environment, the new energy battery is widely applied to various industries due to a plurality of outstanding characteristics such as performance safety, energy consumption and environmental protection, so that the importance of diagnosing the health of the new energy battery is highlighted.
The health state of the new energy battery is closely related to the operation safety of various devices in life, and the current diagnosis and analysis of the health of the new energy battery are generally insufficient in the following aspects:
1. the discharge state of the new energy battery intuitively reflects the health state of the battery. At present often through carrying out diagnostic analysis to the discharge rate and the battery discharge capacity of new energy battery at the settlement time quantum, do not monitor the discharge state of new energy under the various temperature of settlement, can not pinpoint the discharge state of new energy battery under the various temperature of settlement whether have unusually, the accuracy nature of new energy battery discharge state monitoring and analysis has been reduced for the discharge state evaluation of new energy battery has the limitation, and then can not provide powerful data support for the healthy evaluation of follow-up new energy battery.
2. The aging condition of the new energy battery can be directly reflected by monitoring the charging state of the new energy battery. At present, the whole charging rate and the charging amount of the new energy battery are usually diagnosed and analyzed, and the charging rate and the charging amount of the new energy battery at different temperatures and in different time periods are not diagnosed and analyzed, so that the aging condition of the new energy battery cannot be effectively monitored, meanwhile, the accuracy and the comprehensiveness of the charging state evaluation of the new energy battery are also reduced, and a powerful guarantee cannot be provided for the health diagnosis of the new energy battery.
3. The phenomenon that the new energy battery generates self-discharge more or less in the storage process is usually caused, the self-discharge of the new energy battery corresponding to a set time period is diagnosed and analyzed at present, the self-discharge state of the new energy battery at set various temperatures is ignored, the authenticity and the validity of the self-discharge diagnosis and analysis result of the new energy battery are reduced, the stability and the safety of the new energy battery cannot be further guaranteed, and the running safety of equipment using the new energy battery in life cannot be further ensured.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides a new energy battery health diagnosis and analysis method, which can effectively solve the problems related to the background art.
The purpose of the invention can be realized by the following technical scheme:
a new energy battery health diagnosis and analysis method comprises the following steps:
a1, acquiring new energy battery information: acquiring battery information of the new energy battery pack to obtain the number of batteries of the new energy battery pack, and numbering each sub-battery as 1,2,. Eta., i,. Eta., n according to the number of the batteries in sequence;
and A2, self-discharge monitoring and analysis of the subcell: monitoring the electric quantity of each sub-battery at each monitoring time point in each set temperature test through an electric quantity monitor to obtain the electric quantity corresponding to each monitoring time point of each sub-battery in each set temperature test, and analyzing the self-discharge index of each sub-battery in each set temperature test;
and A3, monitoring and analyzing the discharge state of the subcell: monitoring the discharge state of each sub-battery in each set temperature test in each designated time period to obtain the battery discharge amount of each sub-battery in each set temperature test in each designated time period, analyzing the discharge amount retention index and the discharge amount matching index of each sub-battery in each set temperature test, and further comprehensively analyzing the discharge state evaluation coefficient of each sub-battery in each set temperature test;
and A4, monitoring and analyzing the charging state of the sub-battery: monitoring the charging state of each sub-battery in each set temperature test in each selected time period to obtain the battery charging amount of each sub-battery in each set temperature test in each selected time period, and analyzing the charging state evaluation coefficient of each sub-battery in each set temperature test;
and A5, evaluating and analyzing the stability of the subcell: comprehensively analyzing the self-discharge index, the discharge state evaluation coefficient and the charge state evaluation coefficient in each set temperature test corresponding to each sub-battery to obtain the battery stability evaluation coefficient corresponding to each sub-battery;
a6, new energy battery health assessment analysis and display: and comparing the battery stability evaluation coefficients corresponding to the sub-batteries with each other, screening out a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient, analyzing the battery health evaluation coefficient corresponding to the new energy battery, and displaying correspondingly.
As a further improvement of the present invention, in the step A2, the self-discharge index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis process is as follows:
recording the electric quantity corresponding to each monitoring time point of each sub-battery in each set temperature test
i denotes the number of each sub-battery, i =1,2, a.... Wherein n, j denotes the number of each set temperature, j =1,2, a.... Wherein m, r denotes the number of each monitoring time point, r =0,1, a.... Wherein, when r =0,
the initial electric quantity is expressed as the corresponding initial electric quantity of the ith sub-battery in the jth set temperature test;
according to the formula
Calculating the self-discharge index of each sub-battery in each set temperature test,
the self-discharge index of the ith sub-battery corresponding to the jth set temperature test is expressed, e is expressed as a natural constant,
expressed as the electric quantity corresponding to the r-1 monitoring time point of the ith sub-battery in the jth set temperature test, delta Z j Expressed as the corresponding allowable power difference in the preset jth set-temperature test, and beta is expressed as a preset power trim factor.
As a further improvement of the present invention, in the step A3, the discharge state of each sub-battery in each set temperature test in each designated time period is monitored, and the specific monitoring mode is as follows:
testing each sub-battery at each set temperature through electric quantity monitorThe electric quantity corresponding to each appointed time slot in each appointed time slot is monitored to obtain the electric quantity corresponding to each appointed time slot in each appointed temperature test of each sub-battery, the electric quantity of the ending time point and the starting time point corresponding to each appointed time slot in each appointed temperature test is extracted from the electric quantity, the electric quantity of the ending time point and the electric quantity of the starting time point in each appointed time slot in each appointed temperature test of each sub-battery are subtracted to obtain the battery discharge quantity of each sub-battery in each appointed time slot in each appointed temperature test, and the battery discharge quantity is recorded as the battery discharge quantity of each sub-battery in each appointed time slot in each appointed temperature test
d denotes the number of each designated time period, d =0, 1.... P, where d =0,
and is expressed as the pre-discharge electric quantity of the ith sub-battery in the jth set temperature test.
As a further improvement of the present invention, in the step A3, the discharge capacity retention index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis process is as follows:
extracting the maximum discharge amount and the minimum discharge amount of each sub-battery in each set temperature test from the discharge amount of each sub-battery in each set temperature test in each designated time period, and recording the maximum discharge amount and the minimum discharge amount as the maximum discharge amount and the minimum discharge amount in each set temperature test respectively
And
according to the formula
Calculating the discharge capacity retention index of each sub-battery corresponding to each set temperature test,
expressed as the discharge capacity retention index of the ith sub-battery corresponding to the jth set temperature test,
is expressed as the battery discharge amount, delta F, corresponding to the d-1 specified time period in the jth set temperature test corresponding to the ith sub-battery j Expressed as a preset reference cell discharge amount difference in the jth set temperature test,
expressed as the average battery discharge amount, a, of the ith sub-battery corresponding to the jth set temperature test 1 、a 2 、a 3 And respectively representing the preset weight factors corresponding to the battery discharge capacity difference, the maximum battery discharge capacity and the minimum battery discharge capacity.
As a further improvement of the present invention, in the step A3, the discharge amount matching index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis manner is as follows:
according to the formula
Calculating the discharge capacity matching index of each sub-battery in each set temperature test,
is expressed as a discharge quantity matching index, F 'in the jth temperature test corresponding to the ith sub-battery' j Expressed as a reference battery discharge amount corresponding to a designated time period in a preset jth temperature test,
expressed as the reference total battery discharge amount in the preset jth set temperature test, a 4 、a 5 And the weight factors are respectively expressed as the corresponding weight factors of the battery discharge capacity and the total battery discharge capacity in a preset specified time period.
As a further improvement of the present invention, in the step A3, each sub-battery corresponds to a discharge state in each set temperature testThe evaluation coefficient is specifically calculated as
Expressed as the discharge state evaluation coefficient in the jth set temperature test corresponding to the ith sub-battery, b 1 、b 2 And the discharge capacity is respectively expressed as coefficient factors corresponding to a preset discharge capacity retention index and a preset discharge capacity matching index.
As a further improvement of the present invention, in the step A4, the charging state of each sub-battery in each selected time period in each set temperature test is monitored, and the specific monitoring manner is as follows:
monitoring the electric quantity corresponding to each selected time period in each set temperature test of each sub-battery through an electric quantity monitor to obtain the electric quantity corresponding to each selected time period in each set temperature test of each sub-battery, extracting the electric quantity of the ending time point and the starting time period corresponding to each selected time period from the electric quantity, subtracting the electric quantity of the ending time period and the electric quantity of the starting time point in each selected time period in each set temperature test of each sub-battery to obtain the battery charging quantity corresponding to each selected time period in each set temperature test of each sub-battery, and recording the battery charging quantity as the battery charging quantity
k is represented as a number for each selected time period, k =0, 1.... Y, where k =0,
and is expressed as the pre-charge capacity of the ith sub-battery in the jth temperature test.
As a further improvement of the present invention, in the step A4, the state of charge evaluation coefficients in each set temperature test corresponding to each sub-battery are analyzed, and the specific analysis manner is as follows:
according to the formula
Calculating the charge rate evaluation index of each sub-battery in each set temperature test,
expressed as the charging rate evaluation index, T, in the jth set temperature test corresponding to the ith sub-battery k Expressed as the duration corresponding to the preset kth selected time period, qj expressed as the reference charge rate corresponding to the preset jth set temperature test within the selected time period,
expressed as the reference total charge rate in the preset jth set temperature test, f 1 、f 2 Respectively representing the charging rate of a preset selected time period and a weight factor corresponding to the total charging rate;
according to the formula
Calculating the charge quantity evaluation index corresponding to each sub-battery in each set temperature test,
expressed as an index of the amount of charge evaluation in the jth set temperature test corresponding to the ith sub-battery,
expressed as a reference total charge amount in a preset jth set temperature test,
is expressed as the battery charging quantity, deltaC, corresponding to the k-1 selected time period in the jth set temperature test of the ith sub-battery j Expressed as the reference battery charge difference in the preset jth set temperature test, f 3 、f 4 Respectively representing the preset total battery charging amount and weight factors corresponding to the battery charging amount difference;
according to the formula
Calculating the charge state evaluation coefficient of each sub-battery in each set temperature test,
expressed as the state of charge evaluation coefficient in the jth set temperature test corresponding to the ith sub-battery, b 3 、b 4 And the influence factors are respectively expressed as a preset charging rate evaluation index and a preset charging quantity evaluation index.
As a further improvement of the present invention, the battery stability evaluation coefficient corresponding to each sub-battery in step A5 has a specific calculation formula as follows:
is expressed as a battery stability evaluation coefficient delta 'corresponding to the ith sub-battery' j 、η′ j 、σ′ j Respectively expressed as a reference self-discharge index, a reference discharge state evaluation coefficient, a reference charge state evaluation coefficient, tau in a preset jth set temperature test 1 、τ 2 、τ 3 Respectively expressed as preset self-discharge index, discharge state evaluation coefficient and charge state evaluation coefficient.
As a further improvement of the present invention, the battery health evaluation coefficient corresponding to the new energy battery in step A6 has a specific calculation formula as follows:
ξ is represented as the battery health assessment coefficient corresponding to the new energy battery,
expressed as a reference cell stability evaluation coefficient corresponding to a preset sub-cell,
respectively expressed as a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient corresponding to the sub-batteries,
expressed as a predetermined reference cell stability evaluation coefficient difference, ε 1 、ε 2 And the coefficient factors are respectively expressed as a preset battery stability evaluation coefficient and a coefficient factor corresponding to the battery stability evaluation coefficient difference.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
1. according to the method, the new energy battery pack is divided into the sub-batteries, the battery discharge amount corresponding to each sub-battery in each set temperature test in each designated time period is analyzed, the discharge amount keeping index and the discharge amount matching index in each set temperature test corresponding to each sub-battery are analyzed, the discharge state evaluation coefficient in each set temperature test corresponding to each sub-battery is further comprehensively analyzed, the discharge state evaluation coefficient of each sub-battery in each set temperature test is analyzed, the abnormal discharge state of each sub-battery in each set temperature test can be accurately positioned to a certain extent, the accuracy of monitoring and analysis of the discharge state of the new energy battery is greatly improved, the limitation of evaluating the discharge state of the new energy battery in the prior art is broken, and powerful data support is further provided for the subsequent evaluation of the health of the new energy battery.
2. According to the method, the charging quantity of the battery corresponding to each selected time period in each set temperature test of each sub-battery is analyzed, so that the charging rate evaluation index and the charging quantity evaluation index in each set temperature test corresponding to each sub-battery are analyzed, the charging state evaluation coefficient in each set temperature test corresponding to each sub-battery is comprehensively analyzed, the problem that the charging rate and the charging quantity of the new energy battery in the prior art are diagnosed and analyzed at different temperatures and different time periods is effectively solved, the aging condition of the new energy battery can be effectively monitored, meanwhile, the accuracy and the comprehensiveness of the charging state evaluation of the new energy battery are improved, and further powerful guarantee is provided for the diagnosis of the health of the new energy battery.
3. The invention monitors the electric quantity of each sub-battery at each monitoring time point in each set temperature test through the electric quantity monitor, and analyzes the self-discharge index of each sub-battery in each set temperature test, thereby effectively solving the problem of neglecting the self-discharge state diagnosis and analysis of the new energy battery at each set temperature, greatly improving the authenticity and the validity of the self-discharge diagnosis and analysis result of the new energy battery, ensuring the stability and the safety of the new energy battery to a great extent, and further effectively ensuring the operation safety of using new energy battery equipment in life.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the steps of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the invention provides a new energy battery health diagnosis and analysis method, which includes the following steps:
a1, acquiring new energy battery information: the battery information of the new energy battery pack is obtained, the battery number of the new energy battery pack is obtained, and the sub-batteries are numbered as 1, 2.
A2, self-discharge monitoring and analysis of the sub-battery: and monitoring the electric quantity of each sub-battery at each monitoring time point in each set temperature test through an electric quantity monitor to obtain the electric quantity corresponding to each monitoring time point of each sub-battery in each set temperature test, and analyzing the self-discharge index of each sub-battery in each set temperature test.
As a preferred embodiment of the present invention, in the step A2, the self-discharge index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis process is as follows:
recording the electric quantity corresponding to each monitoring time point of each sub-battery in each set temperature test as Z r ij I denotes the number of each sub-battery, i =1, 2.. Once., n, j denotes the number of each set temperature, j =1, 2.. Once., m, r denotes the number of each monitoring time point, r =0, 1.. Once., t, where r =0,
the initial electric quantity is expressed as the corresponding initial electric quantity of the ith sub-battery in the jth set temperature test;
according to the formula
Calculating the self-discharge index of each sub-battery in each set temperature test,
the self-discharge index of the ith sub-battery corresponding to the jth set temperature test is expressed, e is expressed as a natural constant,
expressed as the electric quantity corresponding to the r-1 monitoring time point of the ith sub-battery in the jth set temperature test, delta Z j Expressed as the corresponding allowable power difference in the preset jth set-temperature test, and beta is expressed as a preset power trim factor.
In a specific embodiment, the electric quantity of each sub-battery at each monitoring time point in each set temperature test is monitored through the electric quantity monitor, and the self-discharge index of each sub-battery in each set temperature test is analyzed, so that the problem of neglecting the self-discharge state diagnosis and analysis of the new energy battery at each set temperature is effectively solved, the authenticity and the validity of the self-discharge diagnosis and analysis result of the new energy battery are greatly improved, the stability and the safety of the new energy battery are ensured to a great extent, and the running safety of equipment using the new energy battery in life is further effectively ensured.
And A3, monitoring and analyzing the discharge state of the subcell: and monitoring the discharge state of each sub-battery in each set temperature test in each designated time period to obtain the battery discharge amount of each sub-battery in each set temperature test in each designated time period, analyzing the discharge amount retention index and the discharge amount matching index of each sub-battery in each set temperature test, and further comprehensively analyzing the discharge state evaluation coefficient of each sub-battery in each set temperature test.
As a preferred embodiment of the present invention, in the step A3, the discharge state of each sub-battery in each set temperature test in each designated time period is monitored, and the specific monitoring manner is as follows:
monitoring the electric quantity corresponding to each appointed time period in each set temperature test of each sub-battery through an electric quantity monitor to obtain the electric quantity corresponding to each appointed time period in each set temperature test of each sub-battery, extracting the electric quantity of an ending time point and a starting time point corresponding to each appointed time period from the electric quantity, subtracting the electric quantity of the ending time point and the electric quantity of the starting time point in each appointed time period in each set temperature test of each sub-battery to obtain the battery discharge quantity of each appointed time period in each set temperature test of each sub-battery, and recording the battery discharge quantity as the battery discharge quantity
d denotes the number of each designated time period, d =0, 1.... P, where d =0,
and is expressed as the pre-discharge electric quantity of the ith sub-battery in the jth set temperature test.
As a preferred embodiment of the present invention, in the step A3, the discharge capacity retention index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis process is as follows:
extracting the maximum discharge amount and the minimum discharge amount of each sub-battery in each set temperature test from the discharge amount of each sub-battery in each set temperature test in each designated time period, and recording the maximum discharge amount and the minimum discharge amount as the maximum discharge amount and the minimum discharge amount in each set temperature test respectively
And
according to the formula
Calculating the discharge capacity retention index of each sub-battery corresponding to each set temperature test,
expressed as the discharge capacity retention index of the ith sub-battery corresponding to the jth set temperature test,
is expressed as the battery discharge amount, delta F, corresponding to the d-1 specified time period in the jth set temperature test corresponding to the ith sub-battery j Expressed as a preset reference cell discharge amount difference in the jth set temperature test,
expressed as the average battery discharge amount, a, of the ith sub-battery corresponding to the jth set temperature test 1 、a 2 、a 3 And the weight factors are respectively expressed as the weight factors corresponding to the preset battery discharge capacity difference, the maximum battery discharge capacity and the minimum battery discharge capacity.
As a preferred embodiment of the present invention, in the step A3, the discharge amount matching index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis manner is as follows:
according to the formula
Calculating the discharge capacity matching index of each sub-battery in each set temperature test,
is expressed as a discharge quantity matching index, F 'in the jth temperature test corresponding to the ith sub-battery' j Expressed as a reference battery discharge amount corresponding to a specified time period in a preset jth temperature test,
expressed as the reference total battery discharge amount in the preset jth set temperature test, a 4 、a 5 And the weight factors are respectively expressed as the corresponding weight factors of the battery discharge capacity and the total battery discharge capacity in a preset specified time period.
As a preferred embodiment of the present invention, the discharge state evaluation coefficient in each set temperature test corresponding to each sub-battery in step A3 is specifically calculated by the following formula
Expressed as the discharge state evaluation coefficient in the jth set temperature test corresponding to the ith sub-battery, b 1 、b 2 And respectively expressed as coefficient factors corresponding to a preset discharge capacity retention index and a preset discharge capacity matching index.
In a specific embodiment, the new energy battery pack is divided into the sub-batteries, the battery discharge amount corresponding to each sub-battery in each set temperature test in each designated time period is analyzed, the discharge amount keeping index and the discharge amount matching index in each set temperature test corresponding to each sub-battery are analyzed, the discharge state evaluation coefficient in each set temperature test corresponding to each sub-battery is further comprehensively analyzed, the discharge state evaluation coefficient of each sub-battery in each set temperature test is analyzed, the abnormal discharge state of each sub-battery in each set temperature test can be accurately positioned to a certain extent, the accuracy of monitoring and analyzing the discharge state of the new energy battery is greatly improved, the limitation of evaluating the discharge state of the new energy battery in the prior art is broken, and powerful data support is further provided for the subsequent evaluation of the health of the new energy battery.
And A4, monitoring and analyzing the charging state of the sub-battery: and monitoring the charging state of each sub-battery in each selected time period in each set temperature test to obtain the battery charging amount corresponding to each selected time period in each set temperature test of each sub-battery, and analyzing the charging state evaluation coefficient corresponding to each sub-battery in each set temperature test.
As a preferred embodiment of the present invention, in the step A4, the charging state of each sub-battery in each selected time period in each set temperature test is monitored, and the specific monitoring manner is as follows:
monitoring the electric quantity corresponding to each selected time period in each set temperature test of each sub-battery through an electric quantity monitor to obtain the electric quantity corresponding to each selected time period in each set temperature test of each sub-battery, extracting the electric quantity of the ending time point and the starting time period corresponding to each selected time period from the electric quantity, subtracting the electric quantity of the ending time period and the electric quantity of the starting time point in each selected time period in each set temperature test of each sub-battery to obtain the battery charging quantity corresponding to each selected time period in each set temperature test of each sub-battery, and recording the battery charging quantity as
k is represented as a number for each selected time period, k =0, 1.... Y, where k =0,
and is expressed as the pre-charge capacity of the ith sub-battery in the jth temperature test.
As a preferred embodiment of the present invention, the state of charge evaluation coefficients in each set temperature test corresponding to each sub-battery are analyzed in step A4, and the specific analysis manner is as follows:
according to the formula
Calculating the charge rate evaluation index of each sub-battery in each set temperature test,
expressed as the charging rate evaluation index, T, in the jth set temperature test corresponding to the ith sub-battery k Expressed as the duration corresponding to the preset kth selected time period, qj expressed as the reference charge rate within the preset jth set temperature test corresponding to the selected time period,
expressed as the reference total charge rate in the preset jth set temperature test, f 1 、f 2 Respectively representing the charging rate of a preset selected time period and a weight factor corresponding to the total charging rate;
according to the formula
Calculating the charge quantity evaluation index corresponding to each sub-battery in each set temperature test,
expressed as the charge quantity evaluation index of the ith sub-battery corresponding to the jth set temperature test,
expressed as a reference total charge amount in a preset jth set temperature test,
is expressed as the battery charging quantity, deltaC, corresponding to the k-1 selected time period in the jth set temperature test of the ith sub-battery j Expressed as the preset reference battery charge difference in the jth set temperature test, f 3 、f 4 Respectively representing the preset total battery charging amount and weight factors corresponding to the battery charging amount difference;
according to the formula
Calculating the charge state evaluation coefficient of each sub-battery corresponding to each set temperature test,
expressed as the state of charge evaluation coefficient in the jth set temperature test corresponding to the ith sub-battery, b 3 、b 4 And the influence factors are respectively expressed as a preset charging rate evaluation index and a preset charging quantity evaluation index.
In a specific embodiment, the charging quantity of the battery corresponding to each selected time period in each set temperature test of each sub-battery is analyzed, so that the charging rate evaluation index and the charging quantity evaluation index in each set temperature test corresponding to each sub-battery are analyzed, and the charging state evaluation coefficient in each set temperature test corresponding to each sub-battery is comprehensively analyzed, so that the problem that the charging rate and the charging quantity of the new energy battery in different temperatures and different time periods in the prior art are diagnosed and analyzed is effectively solved, the aging condition of the new energy battery can be effectively monitored, the accuracy and the comprehensiveness of the charging state evaluation of the new energy battery are improved, and the health of the new energy battery is further powerfully guaranteed.
And A5, evaluating and analyzing the stability of the subcell: and comprehensively analyzing the self-discharge index, the discharge state evaluation coefficient and the charge state evaluation coefficient in each set temperature test corresponding to each sub-battery to obtain the battery stability evaluation coefficient corresponding to each sub-battery.
As a preferable embodiment of the present invention, in the step A5, the battery stability corresponding to each sub-battery is ensuredAnd (3) determining an evaluation coefficient, wherein a specific calculation formula is as follows:
is expressed as a cell stability evaluation coefficient delta 'corresponding to the ith sub-cell' j 、η′ j 、σ′ j Respectively expressed as a reference self-discharge index, a reference discharge state evaluation coefficient, a reference charge state evaluation coefficient, tau in a preset jth set temperature test 1 、τ 2 、τ 3 Respectively expressed as preset self-discharge index, discharge state evaluation coefficient and charge state evaluation coefficient.
In a specific embodiment, the self-discharge index, the discharge state evaluation coefficient and the charge state evaluation coefficient in each set temperature test corresponding to each sub-battery are compared with the preset reference self-discharge index, the reference discharge state evaluation coefficient and the reference charge state evaluation coefficient in each set temperature test to obtain the battery stability evaluation coefficient corresponding to each sub-battery, so that the comprehensiveness, the accuracy and the reliability of the battery stability evaluation result corresponding to each sub-battery are greatly improved, the battery stability state corresponding to each sub-battery is further reflected intuitively, and a reliable analysis basis is provided for the battery health diagnosis and analysis of the new energy battery pack.
A6, new energy battery health assessment analysis and display: and comparing the battery stability evaluation coefficients corresponding to the sub-batteries with each other, screening out a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient, analyzing the battery health evaluation coefficient corresponding to the new energy battery, and displaying correspondingly.
As a preferred scheme, the battery health evaluation coefficient corresponding to the new energy battery in the step A6 has a specific calculation formula as follows:
xi is expressed as the corresponding battery health evaluation coefficient of the new energy battery，
Expressed as a reference cell stability evaluation coefficient corresponding to a preset sub-cell,
respectively expressed as a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient corresponding to the sub-batteries,
expressed as a predetermined reference cell stability evaluation coefficient difference, ε 1 、ε 2 And the coefficient factors are respectively expressed as a preset battery stability evaluation coefficient and a coefficient factor corresponding to the battery stability evaluation coefficient difference.
In a specific embodiment, the battery stability evaluation coefficient corresponding to each sub-battery is compared with a preset reference battery stability evaluation coefficient corresponding to the sub-battery, meanwhile, a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient are screened from the battery stability evaluation coefficients corresponding to the sub-batteries, and then comprehensive analysis is performed to obtain the battery health evaluation coefficient corresponding to the new energy battery, so that the comprehensiveness and scientificity of the new energy battery health analysis dimension are met to the greatest extent, and the reliability of the new energy battery health analysis result is improved.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. A new energy battery health diagnosis and analysis method is characterized by comprising the following steps:
a1, acquiring new energy battery information: acquiring battery information of the new energy battery pack to obtain the number of batteries of the new energy battery pack, and numbering each sub-battery as 1,2,. Eta., i,. Eta., n according to the number of the batteries in sequence;
and A2, self-discharge monitoring and analysis of the subcell: monitoring the electric quantity of each sub-battery at each monitoring time point in each set temperature test through an electric quantity monitor to obtain the electric quantity corresponding to each monitoring time point of each sub-battery in each set temperature test, and analyzing the self-discharge index of each sub-battery in each set temperature test;
and A3, monitoring and analyzing the discharge state of the sub-battery: monitoring the discharge state of each sub-battery in each set temperature test in each designated time period to obtain the battery discharge amount of each sub-battery in each set temperature test in each designated time period, analyzing the discharge amount retention index and the discharge amount matching index of each sub-battery in each set temperature test, and further comprehensively analyzing the discharge state evaluation coefficient of each sub-battery in each set temperature test;
a4, monitoring and analyzing the charging state of the sub-battery: monitoring the charging state of each sub-battery in each selected time period in each set temperature test to obtain the battery charging amount corresponding to each selected time period in each set temperature test of each sub-battery, and analyzing the charging state evaluation coefficient corresponding to each sub-battery in each set temperature test;
and A5, evaluating and analyzing the stability of the subcell: comprehensively analyzing the self-discharge index, the discharge state evaluation coefficient and the charge state evaluation coefficient in each set temperature test corresponding to each sub-battery to obtain a battery stability evaluation coefficient corresponding to each sub-battery;
a6, new energy battery health assessment analysis and display: and comparing the battery stability evaluation coefficients corresponding to the sub-batteries with each other, screening out a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient, analyzing the battery health evaluation coefficient corresponding to the new energy battery, and displaying correspondingly.
2. The new energy battery health diagnosis analysis method according to claim 1, characterized in that: and B, analyzing the self-discharge index of each sub-battery in each set temperature test in the step A2, wherein the specific analysis process is as follows:
recording the electric quantity corresponding to each monitoring time point of each sub-battery in each set temperature test
i denotes the number of each sub-battery, i =1,2, a.... Wherein n, j denotes the number of each set temperature, j =1,2, a.... Wherein m, r denotes the number of each monitoring time point, r =0,1, a.... Wherein, when r =0,
representing the initial electric quantity corresponding to the ith sub-battery in the jth set temperature test;
according to the formula
Calculating the self-discharge index of each sub-battery in each set temperature test,
the self-discharge index of the ith sub-battery corresponding to the jth set temperature test is expressed, e is expressed as a natural constant,
expressed as the electric quantity corresponding to the r-1 monitoring time point of the ith sub-battery in the jth set temperature test, delta Z j Expressed as the corresponding allowable power difference in the preset jth set-temperature test, and beta is expressed as a preset power trim factor.
3. The new energy battery health diagnosis and analysis method according to claim 2, characterized in that: in the step A3, the discharge state of each sub-battery in each set temperature test in each designated time period is monitored, and the specific monitoring mode is as follows:
monitoring the electric quantity corresponding to each appointed time period in each set temperature test of each sub-battery through an electric quantity monitor to obtain the electric quantity corresponding to each appointed time period in each set temperature test of each sub-battery, extracting the electric quantity of an ending time point and a starting time point corresponding to each appointed time period from the electric quantity, subtracting the electric quantity of the ending time point and the electric quantity of the starting time point in each appointed time period in each set temperature test of each sub-battery to obtain the battery discharge quantity of each appointed time period in each set temperature test of each sub-battery, and recording the battery discharge quantity as the battery discharge quantity
d denotes the number of each designated time period, d =0, 1.... P, where d =0,
and is expressed as the pre-discharge electric quantity of the ith sub-battery in the jth set temperature test.
4. The new energy battery health diagnosis and analysis method according to claim 3, characterized in that: in the step A3, the discharge capacity retention index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis process is as follows:
extracting the maximum discharge amount and the minimum discharge amount of each sub-battery in each set temperature test from the discharge amount of each sub-battery in each set temperature test in each designated time period, and recording the maximum discharge amount and the minimum discharge amount as the maximum discharge amount and the minimum discharge amount in each set temperature test respectively
And
according to the formula
Calculating the discharge capacity maintaining index of each sub-battery corresponding to each set temperature test,
expressed as the discharge capacity retention index of the ith sub-battery corresponding to the jth set temperature test,
is expressed as the battery discharge amount, delta F, corresponding to the d-1 specified time period in the jth set temperature test corresponding to the ith sub-battery j Expressed as a preset reference cell discharge amount difference in the jth set temperature test,
expressed as the average battery discharge amount, a, of the ith sub-battery corresponding to the jth set temperature test 1 、a 2 、a 3 And the weight factors are respectively expressed as the weight factors corresponding to the preset battery discharge capacity difference, the maximum battery discharge capacity and the minimum battery discharge capacity.
5. The new energy battery health diagnosis and analysis method according to claim 4, characterized in that: in the step A3, the discharge capacity matching index in each set temperature test corresponding to each sub-battery is analyzed, and the specific analysis mode is as follows:
according to the formula
Calculating the discharge capacity matching index of each sub-battery in each set temperature test,
is expressed as a discharge quantity matching index, F 'in the jth temperature test corresponding to the ith sub-battery' j Expressed as a reference battery discharge amount corresponding to a specified time period in a preset jth temperature test,
expressed as the reference total battery discharge amount in the jth preset temperature test, a 4 、a 5 And respectively representing the battery discharge capacity in a preset specified time period and the weight factors corresponding to the total battery discharge capacity.
6. The new energy battery health diagnosis and analysis method according to claim 5, characterized in that: in the step A3, each sub-battery corresponds to the discharge state evaluation coefficient in each set temperature test, and the specific calculation formula is
Expressed as the discharge state evaluation coefficient in the jth set temperature test corresponding to the ith sub-battery, b 1 、b 2 And the discharge capacity is respectively expressed as coefficient factors corresponding to a preset discharge capacity retention index and a preset discharge capacity matching index.
7. The new energy battery health diagnosis and analysis method according to claim 6, characterized in that: in the step A4, the charging state of each sub-battery in each selected time period in each set temperature test is monitored, and the specific monitoring mode is as follows:
monitoring the electric quantity corresponding to each selected time period in each set temperature test of each sub-battery through an electric quantity monitor to obtain the electric quantity corresponding to each selected time period in each set temperature test of each sub-battery, extracting the electric quantity of the ending time point and the starting time period corresponding to each selected time period from the electric quantity, subtracting the electric quantity of the ending time period and the electric quantity of the starting time point in each selected time period in each set temperature test of each sub-battery to obtain the battery charging quantity corresponding to each selected time period in each set temperature test of each sub-battery, and recording the battery charging quantity as the battery charging quantity
k is represented as a number for each selected time period, k =0, 1.... Y, where k =0,
and is expressed as the pre-charge capacity of the ith sub-battery in the jth temperature test.
8. The new energy battery health diagnosis and analysis method according to claim 7, characterized in that: in the step A4, the charge state evaluation coefficients in the set temperature tests corresponding to the sub-batteries are analyzed, and the specific analysis mode is as follows:
according to the formula
Calculating the charge rate evaluation index of each sub-battery in each set temperature test,
expressed as the charging rate evaluation index, T, in the jth set temperature test corresponding to the ith sub-battery k Expressed as the duration, q, corresponding to the preset k-th selected time period j The jth set temperature test expressed as preset corresponds to the reference charge rate over the selected time period,
expressed as the reference total charge rate in the preset jth set temperature test, f 1 、f 2 Respectively representing the charging rate of a preset selected time period and a weight factor corresponding to the total charging rate;
according to the formula
Calculating the temperature of each sub-battery corresponding to each set temperatureAn index of evaluation of the amount of charge,
expressed as an index of the amount of charge evaluation in the jth set temperature test corresponding to the ith sub-battery,
expressed as a reference total charge amount in a preset jth set temperature test,
is expressed as the battery charging quantity, deltaC, corresponding to the k-1 selected time period in the jth set temperature test of the ith sub-battery j Expressed as the reference battery charge difference in the preset jth set temperature test, f 3 、f 4 Respectively representing the preset total battery charging amount and weight factors corresponding to the battery charging amount difference;
according to the formula
Calculating the charge state evaluation coefficient of each sub-battery in each set temperature test,
expressed as the state of charge evaluation coefficient in the jth set temperature test corresponding to the ith sub-battery, b 3 、b 4 And the influence factors are respectively expressed as a preset charging rate evaluation index and a preset charging quantity evaluation index.
9. The new energy battery health diagnosis and analysis method according to claim 8, characterized in that: the battery stability evaluation coefficient corresponding to each sub-battery in the step A5 has a specific calculation formula as follows:
is expressed as a battery stability evaluation coefficient delta 'corresponding to the ith sub-battery' j 、η′ j 、σ′ j Respectively expressed as a reference self-discharge index, a reference discharge state evaluation coefficient, a reference charge state evaluation coefficient, tau in a preset jth set temperature test 1 、τ 2 、τ 3 Respectively expressed as the influence factors corresponding to the preset self-discharge index, the discharge state evaluation coefficient and the charge state evaluation coefficient.
10. The new energy battery health diagnosis and analysis method according to claim 9, characterized in that: the battery health evaluation coefficient corresponding to the new energy battery in the step A6 has a specific calculation formula as follows:
ξ is expressed as a battery health assessment coefficient corresponding to the new energy battery,
expressed as a reference cell stability evaluation coefficient corresponding to a preset sub-cell,
respectively expressed as a maximum battery stability evaluation coefficient and a minimum battery stability evaluation coefficient corresponding to the sub-batteries,
expressed as a predetermined reference cell stability evaluation coefficient difference, ε 1 、ε 2 And the coefficient factors are respectively expressed as a preset battery stability evaluation coefficient and a coefficient factor corresponding to the difference of the battery stability evaluation coefficients.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116400245A (en) * | 2023-05-15 | 2023-07-07 | 长兴太湖能谷科技有限公司 | Lithium battery operation health monitoring analysis system |
| CN116449235A (en) * | 2023-06-14 | 2023-07-18 | 江苏安之技科技发展有限公司 | Method and system for processing test data of energy storage battery |
| CN117075018A (en) * | 2023-07-20 | 2023-11-17 | 深圳运存科技有限公司 | BMS control panel capability test intelligent analysis management system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116400245A (en) * | 2023-05-15 | 2023-07-07 | 长兴太湖能谷科技有限公司 | Lithium battery operation health monitoring analysis system |
| CN116400245B (en) * | 2023-05-15 | 2024-04-16 | 长兴太湖能谷科技有限公司 | Lithium battery operation health monitoring analysis system |
| CN116449235A (en) * | 2023-06-14 | 2023-07-18 | 江苏安之技科技发展有限公司 | Method and system for processing test data of energy storage battery |
| CN116449235B (en) * | 2023-06-14 | 2023-08-29 | 江苏安之技科技发展有限公司 | Method and system for processing test data of energy storage battery |
| CN117075018A (en) * | 2023-07-20 | 2023-11-17 | 深圳运存科技有限公司 | BMS control panel capability test intelligent analysis management system |
| CN117075018B (en) * | 2023-07-20 | 2024-04-16 | 深圳运存科技有限公司 | BMS control panel capability test intelligent analysis management system |
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