CN105137359A - Cell fault detection method and device - Google Patents

Cell fault detection method and device Download PDF

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Publication number
CN105137359A
CN105137359A CN201510537014.1A CN201510537014A CN105137359A CN 105137359 A CN105137359 A CN 105137359A CN 201510537014 A CN201510537014 A CN 201510537014A CN 105137359 A CN105137359 A CN 105137359A
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battery cell
eigenwert
module
sample
voltage curve
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陈宇星
陈健
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Individual
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Abstract

The application discloses a cell fault detection method and device, comprising the steps of: performing periodic sampling, or period-varying and time-stamp sampling on the voltage outputted by a cell in a discharge transient process; processing a sampling result to obtain the voltage curve of the cell, and furthermore obtaining the characteristic value representing the voltage curve; receiving characteristic values of other cells in a battery pack; averaging the characteristic value of the cell and the characteristic values of other cells to obtain an average characteristic value; and finally comparing the characteristic value of the cell with the average characteristic value, and determining the cell to be broken down if the difference therebetween exceeds a preset difference value. Measures can be taken once the cell breaks down to replace or maintain the cell, thereby avoiding influencing the overall capacity and service life of a battery pack.

Description

A kind of fault detection method of battery cell and device
Technical field
The application relates to cell art, more particularly, relates to a kind of fault detection method and device of battery cell.
Background technology
Due to the reason such as physical characteristics, processing technology, the output voltage of independent battery cell generally cannot meet the requirement of general occasion to its output voltage, therefore generally multiple battery cell can be carried out encapsulating being connected into the battery cell use that can export specific voltage.Such as automobile storage battery generally comprises the battery cell of 6 series connection, and its output voltage is generally 12 volts, carries out design tuning to facilitate automaker according to this output voltage to the electric utility of automobile.Occasion compared with high output voltage is needed for some, also needs multiple battery cell to be connected into electric battery, the such as vehicle power etc. of steamer, electric automobile.
But, the not equal reason of service condition due to process deviation when reality manufactures, actual field of employment, the characteristic deviation of each battery cell in electric battery can build up increasing along with service time, its capacity tolerance is caused also progressively to strengthen, thus this battery cell enters malfunction, and then affect whole volume and the life-span of electric battery, therefore need the battery cell to entering malfunction in electric battery to detect, Disposal Measures can be taked in time to it.
Summary of the invention
In view of this, the application provides a kind of fault detection method and device of battery cell, for detecting the battery cell entering malfunction, impacts the whole volume of electric battery and life-span to avoid it.
To achieve these goals, the existing scheme proposed is as follows:
A fault detection method for battery cell, comprises step:
Be in electric discharge transient state process at described battery cell, fixed cycle or variable period, the sampling of band timestamp are carried out to the output voltage of described battery cell;
The voltage curve of described battery cell is set up according to the sample obtained;
Described voltage curve being calculated, obtaining the eigenwert of the described battery cell for characterizing described voltage curve;
Receive the eigenwert comprising other battery cells in the electric battery stating battery cell to some extent;
To the eigenwert of described battery cell and the eigenwert of other battery cells described be averaged value calculate, obtain mean eigenvalue;
The eigenwert of described battery cell and described mean eigenvalue are compared, as described in battery cell eigenwert relatively as described in the deviation of mean eigenvalue exceed predetermined deviation value, then judge that described battery cell breaks down.
Optionally, also comprise:
Detect described battery cell by the method fallen fast detecting the current value of described battery cell, direction of current and output voltage to start to enter electric discharge transient state process.
Optionally, before setting up described voltage curve, also comprise:
Give up n sample of described sample beginning, n is positive integer.
Optionally, n is the positive integer being more than or equal to 0, being less than or equal to 1,000 ten thousand.
Optionally, also comprise:
The eigenwert of described battery cell is broadcasted other battery cells described.
A failure detector for battery cell, comprises voltage sample module, voltage curve sets up module, characteristic value calculating module, eigenwert transceiver module, mean value calculation module and compare to determine module, wherein:
Described voltage sample module is used for being in electric discharge transient state process at described battery cell, carries out fixed cycle or variable period, the sampling of band timestamp to the output voltage of described battery cell;
Described voltage curve sets up module for setting up the voltage curve of described battery cell according to the sample obtained;
Described characteristic value calculating module is used for calculating described voltage curve, obtains and exports the eigenwert of the described battery cell for characterizing described voltage curve;
Described eigenwert transceiver module is for receiving the eigenwert of other battery cells in the electric battery that comprises and state battery cell to some extent;
Described mean value calculation module calculates for the value that is averaged to the eigenwert of described battery cell and the eigenwert of other battery cells described, obtains mean eigenvalue;
The described module that compares to determine for the eigenwert of described battery cell and described mean eigenvalue are compared, as described in battery cell eigenwert relatively as described in the deviation of mean eigenvalue exceed predetermined deviation value, then judge that described battery cell breaks down.
Optionally, also comprise discharge examination module, wherein:
The method fallen fast of current value, direction of current and output voltage that described discharge examination module is used for by detecting described battery cell detects described battery cell and starts to enter electric discharge transient state process.
Optionally, also comprise sample process module, wherein:
Described sample process module is for giving up n sample of described sample beginning, and n is positive integer.
Optionally, n is the positive integer being more than or equal to 0, being less than or equal to 1,000 ten thousand.
Optionally, described eigenwert transceiver module is also for broadcasting the eigenwert of described battery cell other battery cells described.
As can be seen from above-mentioned technical scheme, this application discloses a kind of fault detection method and device of battery cell, first this method and device carry out variable period when this battery cell is in electric discharge transient state process to its output voltage, the sampling of band timestamp, then sampled result is processed to the voltage curve obtaining this battery cell, and then obtain the eigenwert characterizing this voltage curve, afterwards, the eigenwert of other battery cells is received in electric battery, the eigenwert of this battery cell and the eigenwert of other battery cells are averaged, obtain mean eigenvalue, finally the eigenwert of this battery cell and mean eigenvalue are compared, if both differences exceed predetermined deviation value, judge that this battery cell breaks down.Once judge that this battery cell breaks down, Disposal Measures can be taked to it, it is changed or keeps in repair, thus can avoid impacting the whole volume of electric battery and life-span.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The process flow diagram of the fault detection method of a kind of battery cell that Fig. 1 provides for the embodiment of the present application;
The process flow diagram of the fault detection method of a kind of battery cell that Fig. 2 provides for another embodiment of the application;
The process flow diagram of the fault detection method of a kind of battery cell that Fig. 3 provides for the another embodiment of the application;
The schematic diagram of the failure detector of a kind of battery cell that Fig. 4 provides for the another embodiment of the application;
The schematic diagram of the failure detector of a kind of battery cell that Fig. 5 provides for the another embodiment of the application;
The schematic diagram of the failure detector of a kind of battery cell that Fig. 6 provides for the another embodiment of the application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, be clearly and completely described the technical scheme in the embodiment of the present application, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the application's protection.
Embodiment one
The process flow diagram of the fault detection method of a kind of battery cell that Fig. 1 provides for the embodiment of the present application.
As shown in Figure 1, the fault detection method of battery cell that the present embodiment provides comprises following flow process:
S101: the output voltage of battery cell is sampled.
When battery cell enters in electric discharge transient state process, fixed cycle or variable period, the sampling of band timestamp are carried out to the output voltage of this battery cell.So-called variable period refers to and carries out more short-period sampling when this output voltage changes very fast within the unit interval, carries out the sampling of longer cycle when changing slower within the unit interval.
S102: set up voltage curve according to sample.
The sample obtained is processed, sets up the voltage curve of this battery cell according to this sample.
S103: the eigenwert calculating this voltage curve.
This voltage curve is calculated, obtains the eigenwert characterizing this voltage curve.
S104: the eigenwert receiving other battery cells.
Receive the eigenwert of the electric battery comprising this battery cell other battery cells interior, the method for this other battery cell acquisition eigenwert can be identical with above-mentioned steps, also can be obtained by additive method.
S105: calculate mean eigenvalue.
The value that the eigenwert of the eigenwert of this battery cell and every other battery cell is averaged calculates, and calculates the mean eigenvalue of all battery cells.This mean eigenvalue reflects the mean value of the eigenwert of all battery cells.
S106: with comparing of mean eigenvalue, fault is judged according to eigenwert.
The eigenwert of this battery cell and mean eigenvalue are compared, if both differences exceed predetermined deviation value, then judges that this battery cell breaks down.
As can be seen from technique scheme, present embodiments provide a kind of fault detection method of battery cell, first this method carries out fixed cycle or variable period when this battery cell is in electric discharge transient state process to its output voltage, the sampling of band timestamp, then sampled result is processed to the voltage curve obtaining this battery cell, and then obtain the eigenwert characterizing this voltage curve, afterwards, the eigenwert of other battery cells is received in electric battery, the eigenwert of this battery cell and the eigenwert of other battery cells are averaged, obtain mean eigenvalue, finally the eigenwert of this battery cell and mean eigenvalue are compared, if both differences exceed predetermined deviation value, judge that this battery cell breaks down.Once judge that this battery cell breaks down, Disposal Measures can be taked to it, it is changed or keeps in repair, thus can avoid impacting the whole volume of electric battery and life-span.
In addition, because this method independently starts to sample to output voltage, and whether independent judgment battery cell breaks down, therefore, as long as it is substantially complete that the magnitude of voltage unit between battery cell has the voltage curve determining relation, transient state process, the eigenwert that just can export according to individual battery cell obtains mean eigenvalue, and then compares with this draw eigenwert, and finally judges fault according to comparative result.
Embodiment two
The process flow diagram of the fault detection method of a kind of battery cell that Fig. 2 provides for another embodiment of the application.
As shown in Figure 2, the fault detection method that the present embodiment provides is on the basis of a upper embodiment, add electric discharge transient state process detecting step, namely when enter in electric discharge transient state process for detecting this battery cell, once detect that namely electric discharge transient state process starts to sample to its output voltage.The overall process of the fault detection method after adjustment is as follows:
S201: electric discharge transient state process is entered to battery cell and detects.
Namely detect this battery cell and whether enter electric discharge transient state process, detection mode be by detecting curent change, falling fast etc. of the change of direction of current or output voltage detects whether enter electric discharge transient state process, in general, electric discharge transient state process is entered when electric current converts course of discharge to from charging direction; In addition, when battery cell enters electric discharge transient state process from charged state, its cell voltage can fall fast, also can judge that it enters electric discharge transient state process by this way.
S202: the output voltage of battery cell is sampled.
When battery cell enters in electric discharge transient state process, fixed cycle or variable period, the sampling of band timestamp are carried out to the output voltage of this battery cell.So-called variable period refers to and carries out more short-period sampling when this output voltage changes very fast within the unit interval, carries out the sampling of longer cycle when changing slower within the unit interval.
S203: set up voltage curve according to sample.
The sample obtained is processed, sets up the voltage curve of this battery cell according to this sample.
S204: the eigenwert calculating this voltage curve.
This voltage curve is calculated, obtains the eigenwert characterizing this voltage curve.
S205: the eigenwert receiving other battery cells.
Receive the eigenwert of the electric battery comprising this battery cell other battery cells interior, the method for this other battery cell acquisition eigenwert can be identical with above-mentioned steps, also can be obtained by additive method.
S206: calculate mean eigenvalue.
The value that the eigenwert of the eigenwert of this battery cell and every other battery cell is averaged calculates, and calculates the mean eigenvalue of all battery cells.This mean eigenvalue reflects the mean value of the eigenwert of all battery cells.
S207: with comparing of mean eigenvalue, fault is judged according to eigenwert.
The eigenwert of this battery cell and mean eigenvalue are compared, if both differences exceed predetermined deviation value, then judges that this battery cell breaks down.
Embodiment three
The process flow diagram of the fault detection method of a kind of battery cell that Fig. 3 provides for the another embodiment of the application.
As shown in Figure 3, the fault detection method that the present embodiment provides is on the basis of a upper embodiment, set up the treatment step of sample, and the beginning part being about to the sample that sampling obtains gives up a part, and idiographic flow is as follows:
S301: detect entering electric discharge transient state process.
Namely detect this battery cell and whether enter electric discharge transient state process, detection mode be by detecting curent change, falling fast etc. of the change of direction of current or output voltage detects whether enter electric discharge transient state process, in general, electric discharge transient state process is entered when electric current converts course of discharge to from charging direction; In addition, when battery cell enters electric discharge transient state process from charged state, its cell voltage can fall fast, also can judge that it enters electric discharge transient state process by this way.
S302: the output voltage of battery cell is sampled.
When battery cell enters in electric discharge transient state process, fixed cycle or variable period, the sampling of band timestamp are carried out to the output voltage of this battery cell.So-called variable period refers to and carries out more short-period sampling when this output voltage changes very fast within the unit interval, carries out the sampling of longer cycle when changing slower within the unit interval.
S303: process is given up to sample.
The beginning part of sample obtained above is given up a part, gives up the quantity preferably 0 ~ 1,000 ten thousand of sample.
S304: set up voltage curve according to sample.
Sample after giving up is processed, sets up the voltage curve of this battery cell according to this sample.
S305: the eigenwert calculating this voltage curve.
This voltage curve is calculated, obtains the eigenwert characterizing this voltage curve.
S306: the eigenwert receiving other battery cells.
Receive the eigenwert of the electric battery comprising this battery cell other battery cells interior, the method for this other battery cell acquisition eigenwert can be identical with above-mentioned steps, also can be obtained by additive method.
S307: calculate mean eigenvalue.
The value that the eigenwert of the eigenwert of this battery cell and every other battery cell is averaged calculates, and calculates the mean eigenvalue of all battery cells.This mean eigenvalue reflects the mean value of the eigenwert of all battery cells.
S308: with comparing of mean eigenvalue, fault is judged according to eigenwert.
The eigenwert of this battery cell and mean eigenvalue are compared, if both differences exceed predetermined deviation value, then judges that this battery cell breaks down.
For above any embodiment, also comprise eigenwert process of transmitting, the eigenwert by this battery cell is broadcasted to other battery cells, and whether to break down to it according to this method according to the eigenwert that obtains to enable other battery cells judges.
Embodiment four
The schematic diagram of the failure detector of a kind of battery cell that Fig. 4 provides for the another embodiment of the application.
As shown in Figure 4, the failure detector that the present embodiment provides comprises voltage sample module 10, voltage curve sets up module 20, characteristic value calculating module 30, eigenwert transceiver module 40, mean value calculation module 50 and compare to determine module 60.
When voltage sample module 10 is for entering when battery cell 100 in electric discharge transient state process, fixed cycle or variable period, the sampling of band timestamp are carried out to the output voltage of this battery cell 100.So-called variable period refers to and carries out more short-period sampling when this output voltage changes very fast within the unit interval, carries out the sampling of longer cycle when changing slower within the unit interval.
Voltage curve is set up module 20 and is processed for the sample exported voltage sample module 10, and sets up the voltage curve of this battery cell according to result.
Characteristic value calculating module 30 calculates for voltage curve voltage curve being set up to module 20 foundation, obtains the eigenwert characterizing this voltage curve.
Eigenwert transceiver module 40 for receive comprise this battery cell 100 electric battery in the eigenwert of other battery cells, the method that this other battery cell obtains eigenwert can obtain with the method provided in the application, also can pass through additive method.
Mean value calculation module 50 calculates for the value that the eigenwert of the eigenwert of this battery cell 100 and every other battery cell is averaged, and obtains the mean eigenvalue of all battery cells.This mean eigenvalue reflects the mean value of the eigenwert of all battery cells.
Comparing to determine module 60 for the eigenwert of this battery cell 100 and mean eigenvalue being compared, if both differences exceed predetermined deviation value, then judging that this battery cell 100 breaks down.
As can be seen from technique scheme, present embodiments provide a kind of failure detector of battery cell, first this device carries out fixed cycle or variable period when this battery cell is in electric discharge transient state process to its output voltage, the sampling of band timestamp, then sampled result is processed to the voltage curve obtaining this battery cell, and then obtain the eigenwert characterizing this voltage curve, afterwards, the eigenwert of other battery cells is received in electric battery, the eigenwert of this battery cell and the eigenwert of other battery cells are averaged, obtain mean eigenvalue, finally the eigenwert of this battery cell and mean eigenvalue are compared, if both differences exceed predetermined deviation value, judge that this battery cell breaks down.Once judge that this battery cell breaks down, Disposal Measures can be taked to it, it is changed or keeps in repair, thus can avoid impacting the whole volume of electric battery and life-span.
Embodiment five
The schematic diagram of the failure detector of a kind of battery cell that Fig. 5 provides for the another embodiment of the application.
As shown in Figure 5, the failure detector that the present embodiment provides has set up discharge examination module 70 on the basis of a upper embodiment.
This discharge examination module 70 for by detecting the current value situation of change of this battery cell 100, the mode such as to fall fast of the change of direction of current or output voltage judges whether this battery cell enters electric discharge transient state process, once judge to enter electric discharge transient state process, whether then the output voltage of control voltage sampling module 10 pairs of battery cells 100 is sampled, start to break down to it to judge with this.
Embodiment 6
The schematic diagram of the failure detector of a kind of battery cell that Fig. 6 provides for the another embodiment of the application.
As shown in Figure 6, the failure detector that the present embodiment provides has set up sample process module 80 on the basis of a upper embodiment.
This sample process module 80 gives up process for exporting sample to voltage sample module 10, namely 0 ~ 1,000 ten thousand sample of the beginning part is given up, after giving up process, voltage curve is set up the sample stayed after module 20 is given up again and is set up voltage curve, namely to the sample given up not reprocessing.
For the failure detector that above any embodiment provides, whether eigenwert transceiver module 40 wherein, also for the eigenwert of this battery cell being broadcasted to other battery cells, breaks down to it according to this method according to the eigenwert that obtains to enable other battery cells and judging.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the application.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein when not departing from the spirit or scope of the application, can realize in other embodiments.Therefore, the application can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (10)

1. a fault detection method for battery cell, is characterized in that, comprises step:
Be in electric discharge transient state process at described battery cell, fixed cycle or variable period, the sampling of band timestamp are carried out to the output voltage of described battery cell;
The voltage curve of described battery cell is set up according to the sample obtained;
Described voltage curve being calculated, obtaining the eigenwert of the described battery cell for characterizing described voltage curve;
Receive the eigenwert comprising other battery cells in the electric battery stating battery cell to some extent;
To the eigenwert of described battery cell and the eigenwert of other battery cells described be averaged value calculate, obtain mean eigenvalue;
The eigenwert of described battery cell and described mean eigenvalue are compared, as described in battery cell eigenwert relatively as described in the deviation of mean eigenvalue exceed predetermined deviation value, then judge that described battery cell breaks down.
2. fault detection method as claimed in claim 1, is characterized in that, also comprise:
Detect described battery cell by the method fallen fast detecting the current value of described battery cell, direction of current and output voltage to start to enter electric discharge transient state process.
3. fault detection method as claimed in claim 1, is characterized in that, before setting up described voltage curve, also comprise:
Give up n sample of described sample beginning, n is positive integer.
4. fault detection method as claimed in claim 3, it is characterized in that, n is the positive integer being more than or equal to 0, being less than or equal to 1,000 ten thousand.
5. the fault detection method as described in any one of Claims 1 to 4, is characterized in that, also comprises:
The eigenwert of described battery cell is broadcasted other battery cells described.
6. a failure detector for battery cell, is characterized in that, comprises voltage sample module, voltage curve sets up module, characteristic value calculating module, eigenwert transceiver module, mean value calculation module and compare to determine module, wherein:
Described voltage sample module is used for being in electric discharge transient state process at described battery cell, carries out fixed cycle or variable period, the sampling of band timestamp to the output voltage of described battery cell;
Described voltage curve sets up module for setting up the voltage curve of described battery cell according to the sample obtained;
Described characteristic value calculating module is used for calculating described voltage curve, obtains and exports the eigenwert of the described battery cell for characterizing described voltage curve;
Described eigenwert transceiver module is for receiving the eigenwert of other battery cells in the electric battery that comprises and state battery cell to some extent;
Described mean value calculation module calculates for the value that is averaged to the eigenwert of described battery cell and the eigenwert of other battery cells described, obtains mean eigenvalue;
The described module that compares to determine for the eigenwert of described battery cell and described mean eigenvalue are compared, as described in battery cell eigenwert relatively as described in the deviation of mean eigenvalue exceed predetermined deviation value, then judge that described battery cell breaks down.
7. failure detector as claimed in claim 6, is characterized in that, also comprise discharge examination module, wherein:
The method fallen fast of current value, direction of current and output voltage that described discharge examination module is used for by detecting described battery cell detects described battery cell and starts to enter electric discharge transient state process.
8. failure detector as claimed in claim 6, is characterized in that, also comprise sample process module, wherein:
Described sample process module is for giving up n sample of described sample beginning, and n is positive integer.
9. failure detector as claimed in claim 8, it is characterized in that, n is the positive integer being more than or equal to 0, being less than or equal to 1,000 ten thousand.
10. the failure detector as described in any one of claim 6 ~ 9, is characterized in that, described eigenwert transceiver module is also for broadcasting the eigenwert of described battery cell other battery cells described.
CN201510537014.1A 2015-08-28 2015-08-28 Cell fault detection method and device Pending CN105137359A (en)

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CN107340475A (en) * 2016-04-29 2017-11-10 株式会社日立制作所 Battery fault detection method and battery fault detection device
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CN108663626A (en) * 2017-08-16 2018-10-16 众泰新能源汽车有限公司 A kind of prediction technique of power battery SOH
CN107612071A (en) * 2017-09-24 2018-01-19 合肥国轩高科动力能源有限公司 A kind of battery cell fault verification and processing method
CN107612071B (en) * 2017-09-24 2021-04-09 合肥国轩高科动力能源有限公司 Battery failure judgment and processing method for battery pack
CN114127570A (en) * 2020-01-22 2022-03-01 株式会社Lg新能源 Battery diagnosis system, power system, and battery diagnosis method
CN114127570B (en) * 2020-01-22 2023-10-20 株式会社Lg新能源 Battery diagnosis system, power system, and battery diagnosis method
CN113447832A (en) * 2020-03-26 2021-09-28 奥迪股份公司 Method for detecting foreign cells and/or foreign modules in a vehicle battery device, battery device and motor vehicle having a battery device
CN113665426A (en) * 2020-05-14 2021-11-19 北京新能源汽车股份有限公司 Method, device and equipment for updating voltage of single battery cell
CN113665426B (en) * 2020-05-14 2023-08-04 北京新能源汽车股份有限公司 Method, device and equipment for updating single cell voltage

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