CN111361448A - Self-discharge detection method and device of battery, battery controller and storage medium - Google Patents
Self-discharge detection method and device of battery, battery controller and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
- B60L58/14—Preventing excessive discharging
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The application relates to a self-discharge detection method and device of a battery, a battery controller and a storage medium. The method comprises the following steps: after a system is powered on and the current power failure time of the system is determined to be longer than a preset time, acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period; selecting a battery monomer meeting preset screening conditions as a target battery monomer according to the self-discharge rate of each battery monomer; when the self-discharge rate of any one target battery monomer is larger than or equal to a first preset threshold and smaller than a second preset threshold, and each group of feature data currently stored by the system contains the identification of the target battery monomer, determining that the battery has a self-discharge overlarge fault and outputting alarm information. The method can complete the self-discharge detection of the battery without current detection equipment with higher detection precision, thereby simplifying the self-discharge detection mode of the battery and improving the accuracy of the detection result.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a method and an apparatus for detecting self-discharge of a battery, a battery controller, and a storage medium.
Background
To alleviate the problems of energy shortage and environmental pollution, vehicle power system electromotion has become one of the main trends of vehicle technical countermeasures in the future. One of the main features of vehicle powertrain motorization is the use of electrical energy instead of chemical energy as the primary source of motive energy for the vehicle. Therefore, the operation condition of the battery needs to be detected to ensure that the battery can safely and reliably operate, so that the driving range of the vehicle is prolonged and the safe driving of the vehicle is ensured.
In the conventional technology, the internal short circuit current of the battery can be externalized, and the external current change is detected by means of the current detection equipment so as to screen the battery monomer with large self-discharge rate. However, the conventional method has a high requirement on the accuracy of the current detection device.
Disclosure of Invention
In view of the above, it is necessary to provide a method and an apparatus for detecting self-discharge of a battery, a battery controller, and a storage medium, for solving the technical problem that the conventional method has high requirement on the accuracy of a current detection device.
In a first aspect, an embodiment of the present application provides a self-discharge detection method for a battery, where the battery includes a plurality of battery cells, and the method includes:
after a system is powered on and the current power failure time of the system is determined to be longer than a preset time, acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period;
selecting a battery monomer meeting preset screening conditions as a target battery monomer according to the self-discharge rate of each battery monomer;
when the self-discharge rate of any one target battery monomer is greater than or equal to a first preset threshold and smaller than a second preset threshold, and each group of feature data currently stored by the system contains the identifier of the target battery monomer, determining that the battery has an over-self-discharge fault and outputting alarm information; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
In a second aspect, an embodiment of the present application provides a self-discharge detection apparatus for a battery, where the battery includes a plurality of battery cells, the apparatus includes:
the acquisition module is used for acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period after the system is powered on and the current power failure time of the system is determined to be longer than the preset time;
the selection module is used for selecting the battery monomer meeting the preset screening condition as a target battery monomer according to the self-discharge rate of each battery monomer;
the system comprises a first processing module, a second processing module and a third processing module, wherein the first processing module is used for determining that the battery has a self-discharge overlarge fault and outputting alarm information when the self-discharge rate of any one target battery monomer is greater than a first preset threshold and smaller than a second preset threshold and each group of feature data currently stored by the system contains an identifier of the target battery monomer; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
In a third aspect, an embodiment of the present application provides a battery controller, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the self-discharge detection method of the battery provided in the first aspect of the embodiment of the present application when executing the computer program.
In a fourth aspect, embodiments of the present application provide a vehicle including a battery controller as provided in the third aspect of embodiments of the present application.
In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the self-discharge detection method for a battery provided in the first aspect of the embodiment of the present application.
The self-discharge detection method, the device, the battery controller and the storage medium of the battery provided by the embodiment of the application are used for obtaining the self-discharge rate of each battery monomer in the battery during the current power-down period after the system is powered on and determining that the current power-down period of the system is longer than the preset time length, selecting the battery monomer meeting the preset screening condition as the target battery monomer according to the self-discharge rate of each battery monomer, and determining that the battery has the self-discharge overlarge fault and outputs alarm information when the self-discharge rate of any one target battery monomer is larger than or equal to the first preset threshold and smaller than the second preset threshold and each group of characteristic data stored by the system contains the identification of the target battery monomer. In the self-discharge detection process of the battery, the battery controller can comprehensively consider the self-discharge rate of each battery monomer of the battery in the current power failure period and the characteristic data of the battery currently stored in the system in different power failure periods to determine whether the battery has the self-discharge overlarge fault or not and output alarm information when the self-discharge overlarge fault is determined to exist.
Drawings
Fig. 1 is a schematic flowchart of a method for detecting self-discharge of a battery according to an embodiment of the present disclosure;
fig. 2 is another schematic flow chart of a method for detecting self-discharge of a battery according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a self-discharge detection device of a battery according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a battery controller according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application are further described in detail by the following embodiments in combination with the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that the execution subject of the method embodiments described below may be a self-discharge detection device of a battery, and the device may be implemented as a part or all of a battery controller by software, hardware, or a combination of software and hardware. The following method embodiments are described by taking the example where the execution subject is a battery controller.
Fig. 1 is a schematic flow chart of a method for detecting self-discharge of a battery according to an embodiment of the present disclosure. The embodiment relates to a specific process of how a battery controller detects a battery based on the self-discharge rate of each battery cell in the battery. As shown in fig. 1, the method includes:
s101, after the system is powered on and the current power failure duration of the system is determined to be greater than the preset duration, the self-discharge rate of each battery monomer in the battery in the current power failure duration is obtained.
Specifically, the system is a system that receives the power supply capacity of the battery, wherein the system may be a battery management system, that is, a battery controller. The power-down time of this time is the duration time from the last power-down time to the power-up time of the system, and similarly, the power-down time of this time is the time interval from the last power-down time to the power-up time of the system. In practical applications, when the failure of the battery is not a dominant failure, some failures may be discovered only after the accumulation of time, such as a self-discharge failure of the battery, and if the self-discharge of the battery approaches zero, the battery is considered to be substantially free of failure, and if the self-discharge of the battery exceeds a certain threshold value after the accumulation of time, the battery is considered to have a certain failure. In this regard, the preset time length can be set according to actual requirements, and when the power-down time length of the system is determined to be greater than the preset time length, the battery is diagnosed and detected; when the power-down time of the system is determined to be less than or equal to the preset time, the battery does not need to be diagnosed and detected. Alternatively, the preset time period may be set to 12 hours.
The battery may include a plurality of battery cells formed by connecting the plurality of battery cells in series and in parallel. Therefore, in the process of detecting the battery, the self-discharge condition of each battery cell forming the battery needs to be specifically analyzed, so that after the system is powered on this time and it is determined that the power-down time of the system is longer than the preset time, the battery controller obtains the self-discharge rate of each battery cell in the battery during the power-down time. The self-discharge rate of the battery cell refers to the self-discharge amount of the battery cell in unit time.
S102, selecting the battery monomer meeting the preset screening condition as a target battery monomer according to the self-discharge rate of each battery monomer.
Specifically, the target battery cell is each battery cell meeting preset screening conditions. In practical application, in order to improve the self-discharge detection efficiency of the battery, a part of the battery cells capable of representing the self-discharge characteristics of the whole battery can be selected for analysis. Therefore, the screening conditions of the target battery monomer can be preset in the battery controller so as to select the battery monomer meeting the preset screening conditions for analysis, and therefore, the self-discharge detection efficiency of the battery is improved.
Optionally, the process of S102 may be: sequencing the self-discharge rate of each battery monomer; and selecting the first N-bit battery cells with the largest discharge rate as target battery cells, wherein N is a natural number greater than 0. In one embodiment, the battery controller may select the first 6 cells with the largest discharge rate as the target cells.
S103, when the self-discharge rate of any one target battery monomer is larger than or equal to a first preset threshold and smaller than a second preset threshold, and each group of feature data currently stored in the system contains the identification of the target battery monomer, determining that the battery has a self-discharge overlarge fault, and outputting alarm information.
Specifically, different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods. The battery controller may store characteristic data of the battery during different power down periods. Of course, limited by the storage capacity of the memory of the system, the battery controller may only store the characteristic data of the battery during the last M power-down periods, wherein the size of the M sets of characteristic data and the storage capacity of the memory tend to be equal.
When the battery controller determines that the self-discharge rate of any one target battery monomer is greater than or equal to a first preset threshold and smaller than a second preset threshold, the battery controller also needs to determine whether each group of feature data currently stored by the system contains the identifier of the target battery monomer, at this time, if it is determined that each group of feature data currently stored by the system contains the identifier of the target battery monomer, it is indicated that the target battery monomer repeatedly has a self-discharge over-large fault, and further, it can be determined that the battery has the self-discharge over-large fault, and alarm information is output to a user to remind the user that the battery has the self-discharge over-large fault and the battery needs to be overhauled. The alarm mode for alarming the user can comprise at least one of voice alarm, vibration alarm and display alarm.
In one embodiment, when the battery controller determines that the self-discharge rate of any one of the target battery cells is greater than or equal to a second preset threshold, the battery controller directly determines that the battery has a self-discharge over-large fault and outputs alarm information.
In order to continuously detect the self-discharge condition of the battery, optionally, the battery controller further stores the identifier of the target battery cell, the self-discharge rate, and the power-down time as feature data of the battery during the power-down period. Therefore, for the next power failure period, the characteristic data in the power failure period becomes the characteristic data stored in the system, and when the self-discharge condition of the battery in the next power failure period is detected, whether the battery has the self-discharge overlarge fault in the next power failure period can be further determined by combining the characteristic data in the power failure period, so that the accuracy of the self-discharge detection of the battery is further improved. Of course, if the memory stores other feature data in the power-down period, the feature data in the other power-down period needs to be combined when determining whether the battery has a self-discharge over-large fault in the next power-down period.
In addition, when it is determined that the battery has no self-discharge over-large fault in the current power-down period, the battery controller may further store the identifier of the target battery cell, the self-discharge rate, and the current power-down duration as feature data of the battery in the current power-down period, so that when the self-discharge condition of the battery in the next power-down period is detected, it may be further determined whether the battery has the self-discharge over-large fault in the next power-down period by combining the feature data in the current power-down period.
When storing the characteristic data in the current power-down period, when the number of groups of the currently stored characteristic data in a memory of the system reaches a preset number, the process of storing the characteristic data in the current power-down period by the battery controller is as follows: and updating the characteristic data stored in the memory in the earliest power failure period by using the characteristic data in the current power failure period. And when the number of the groups of the feature data currently stored in the memory of the system does not reach the preset number, the battery controller directly stores the feature data in the current power failure period.
The self-discharge detection method of the battery provided by the embodiment of the application obtains the self-discharge rate of each battery monomer in the battery in the power-down period of the system after the system is powered on and determines that the power-down period of the system is longer than the preset time, selects the battery monomer meeting the preset screening condition as the target battery monomer according to the self-discharge rate of each battery monomer, determines that the battery has the self-discharge overlarge fault and outputs alarm information when the self-discharge rate of any one target battery monomer is larger than or equal to a first preset threshold and smaller than a second preset threshold and each group of characteristic data stored in the system contains the identification of the target battery monomer. In the self-discharge detection process of the battery, the battery controller can comprehensively consider the self-discharge rate of each battery monomer of the battery in the current power failure period and the characteristic data of the battery currently stored in the system in different power failure periods to determine whether the battery has the self-discharge overlarge fault or not and output alarm information when the self-discharge overlarge fault is determined to exist.
Fig. 2 is another schematic flow chart of a method for detecting self-discharge of a battery according to an embodiment of the present disclosure. The embodiment relates to a specific process of determining the self-discharge rate of each battery cell in the current power-down period by a battery controller. On the basis of the foregoing embodiment, optionally, as shown in fig. 2, the step of obtaining the self-discharge rate of each battery cell in the battery during the current power down period in S101 may include:
s201, respectively obtaining a first State Of Charge (SOC) Of each battery cell in the battery when the system is powered on and a second SOC Of each battery cell when the system is powered off last time.
Specifically, when the system is powered on, the battery controller may read the terminal voltage of each battery cell in the battery, and obtain the first SOC of each battery cell based on the terminal voltage and a preset voltage remaining power mapping relationship. The voltage residual capacity mapping relation comprises corresponding relations between different terminal voltages and the SOC. Similarly, the battery controller may also obtain the second SOC of each battery cell when the system is powered off last time, by referring to the process of obtaining the first SOC.
S202, determining the self-discharge rate of each battery monomer in the battery in the power failure period according to the capacity of each battery monomer in the last power failure of the system, the power failure time, the first SOC and the second SOC.
Specifically, the battery controller obtains the capacity of each battery cell when the system is powered down last time, and determines the self-discharge rate of each battery cell in the battery during the power down period according to the following formula 1 or the modification of the formula 1.
Equation 1:
wherein, dIiIs the self-discharge rate of the ith cell in the battery, CiIs the capacity, SOC, of the ith cell1,iSecond SOC, SOC of ith battery cell2,iAnd the time is the first SOC of the ith battery cell, and the delta T is the current power-down time of the system.
In this embodiment, in the process of obtaining the self-discharge rate of each battery cell in the battery during the power down period, the capacity of the battery cell before the last power down of the system, the second SOC, and the first SOC of the battery cell during the power up of the system are combined, and the considered influence parameters are relatively comprehensive, so that the accuracy of the obtained self-discharge rate is relatively high, and the accuracy of the battery detection result is further improved.
After the alarm information for indicating that the battery has the self-discharge excessive fault is output to the user, in order to facilitate a maintenance person of the battery to further analyze the self-discharge condition of the battery, optionally, the stored characteristic data in the power failure period of this time may further include the identifier of the battery cell with the minimum self-discharge rate and the self-discharge rate of the battery cell, and may also include the average self-discharge rate of the entire battery. Wherein, the average self-discharge rate of the whole battery is obtained by performing arithmetic mean calculation based on the self-discharge rate of each battery cell.
Correspondingly, the battery controller can also generate a first self-discharge distribution diagram of the battery according to the characteristic data in the current power-down period, generate a second self-discharge distribution diagram of the battery according to the characteristic data in the current power-down period and the characteristic data in the historical power-down period stored in the memory, analyze the self-discharge distribution condition of the battery by combining the first self-discharge distribution diagram and the second self-discharge distribution diagram, and output an analysis report.
Specifically, when it is determined that the battery has a self-discharge excessive fault, in order to facilitate subsequent deep analysis of the battery, the battery controller may perform backup storage on the feature data in the current power failure period, and may perform weighted calculation on the feature data in the current power failure period and the stored feature data in the historical power failure period to obtain weighted feature data, and perform backup storage on the obtained weighted feature data. The identification of each target battery cell in the weighted characteristic data is based on the identification of each target battery cell in the current power-down period, and the self-discharge rate of the battery is calculated by accumulating and averaging the characteristic data in all the power-down periods stored in the memory. For example, assuming that only the characteristic data during the last three power down periods can be stored in the memory, the battery controller may calculate the self-discharge rate of each target cell in the weighted characteristic data according to the following formula 2 or a variation of formula 2.
Equation 2:
wherein, dIjSelf-discharge rate, Δ Q, for the jth target cell in the weighted signature dataj,1、ΔQj,2ΔQj,3Respectively the self-discharge quantity, delta T, of the jth target battery cell in the latest first power-down period, the latest second power-down period and the latest third power-down period1、ΔT2、ΔT3The power down time of the system for the last time is the power down time of the system for the first time, the power down time of the system for the last time is the power down time of the system for the third time.
In addition, the battery controller can generate a second self-discharge distribution diagram of the battery based on the weighted characteristic data, and analyze the self-discharge distribution condition of the battery (such as self-discharge distribution and inconsistency of the battery) by combining with the first self-discharge distribution diagram generated based on the characteristic data in the current power-down period, and output an analysis report, so that a maintainer of the battery can intuitively know the self-discharge condition of the battery, and the maintenance efficiency of the battery is improved.
In this embodiment, the battery controller may generate a first self-discharge distribution map of the battery according to the feature data in the current power-down period, generate a second self-discharge distribution map of the battery according to the feature data in the current power-down period and the feature data in the historical power-down period stored in the memory, and analyze the self-discharge distribution condition of the battery and output an analysis report in combination with the generated first self-discharge distribution map and the generated second self-discharge distribution map, that is, the self-discharge detection result of the battery may be visually displayed to a maintenance person, so that the maintenance person of the battery may visually know the self-discharge distribution condition of the battery, and the maintenance efficiency of the battery is improved.
Fig. 3 is a schematic structural diagram of a self-discharge detection device of a battery according to an embodiment of the present application. The battery includes a plurality of battery cells, and as shown in fig. 3, the apparatus may include: the device comprises an acquisition module 10, a selection module 11 and a first processing module 12.
Specifically, the obtaining module 10 is configured to obtain a self-discharge rate of each battery cell in the battery during a current power failure period after the system is powered on and it is determined that the current power failure period of the system is longer than a preset time period;
the selection module 11 is used for selecting a battery monomer meeting a preset screening condition as a target battery monomer according to the self-discharge rate of each battery monomer;
the first processing module 12 is configured to determine that a self-discharge excessive fault exists in the battery and output alarm information when the self-discharge rate of any one target battery cell is greater than a first preset threshold and smaller than a second preset threshold, and each set of feature data currently stored in the system includes an identifier of the target battery cell; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
The self-discharge detection device of battery that this application embodiment provided, after system power-on and confirm this time of system falls electric time and is greater than preset time length, acquires each battery monomer in the battery falls electric time internal self-discharge rate to according to each free self-discharge rate of battery, select the battery monomer that accords with preset screening condition as target battery monomer, when the free self-discharge rate of arbitrary one target battery is greater than or equal to first preset threshold value and is less than the second and predetermines the threshold value, just all contain in every group of characteristic data of system storage during the free sign of target battery, confirm the battery exists from discharging too big trouble and output alarm information. In the self-discharge detection process of the battery, the battery controller can comprehensively consider the self-discharge rate of each battery monomer of the battery in the current power failure period and the characteristic data of the battery currently stored in the system in different power failure periods to determine whether the battery has the self-discharge overlarge fault or not and output alarm information when the self-discharge overlarge fault is determined to exist.
On the basis of the above embodiment, optionally, the apparatus may further include: a second processing module;
specifically, the second processing module is configured to determine that a self-discharge excessive fault exists in the battery and output alarm information when the self-discharge rate of any one target battery cell is greater than or equal to a second preset threshold.
On the basis of the foregoing embodiment, optionally, the obtaining module 10 is specifically configured to obtain a first SOC of each battery cell in the battery when the system is powered on and a second SOC of each battery cell when the system is powered off last time; and determining the self-discharge rate of each battery monomer in the battery during the power failure according to the capacity of each battery monomer in the last power failure of the system, the power failure time, the first SOC and the second SOC.
On the basis of the above embodiment, optionally, the selection module 11 is specifically configured to sequence the self-discharge rates of the battery cells; and selecting the first N-bit battery cells with the largest discharge rate as target battery cells, wherein N is a natural number greater than 0.
On the basis of the above embodiment, optionally, the apparatus may further include: a storage module;
specifically, the storage module is configured to store the identifier of the target battery cell, the self-discharge rate, and the power-down time as characteristic data of the battery during the power-down period.
On the basis of the foregoing embodiment, optionally, when the number of sets of feature data currently stored in the memory of the system reaches a preset number, the storage module is specifically configured to update the feature data stored in the memory during the earliest power failure period by using the feature data in the power failure period of this time.
On the basis of the foregoing embodiment, optionally, the characteristic data in the power down period further includes an identifier of a battery cell with a minimum self-discharge rate, a self-discharge rate, and an average self-discharge rate of the battery, and the apparatus may further include: the device comprises a first generation module, a second generation module and a third processing module;
specifically, the first generating module is configured to generate a first self-discharge distribution map of the battery according to the feature data in the current power-down period;
the second generation module is used for generating a second self-discharge distribution map of the battery according to the feature data in the current power failure period and the feature data in the historical power failure period stored in the memory;
and the third processing module is used for combining the first self-discharge distribution diagram and the second self-discharge distribution diagram, analyzing the self-discharge distribution condition of the battery and outputting an analysis report.
In one embodiment, a battery controller is provided, the internal structure of which may be as shown in fig. 4. The battery controller includes a processor and a memory connected by a system bus. Wherein the processor of the battery controller is configured to provide computational and control capabilities. The memory of the battery controller is used for storing a computer program. The computer program is executed by a processor to implement a method of self-discharge detection of a battery.
It will be understood by those skilled in the art that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation on the battery controller to which the present application is applied, and a particular battery controller may include more or less components than shown in the figures, or combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a battery controller comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program implementing the steps of:
after a system is powered on and the current power failure time of the system is determined to be longer than a preset time, acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period;
selecting a battery monomer meeting preset screening conditions as a target battery monomer according to the self-discharge rate of each battery monomer;
when the self-discharge rate of any one target battery monomer is greater than or equal to a first preset threshold and smaller than a second preset threshold, and each group of feature data currently stored by the system contains the identifier of the target battery monomer, determining that the battery has an over-self-discharge fault and outputting alarm information; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and when the self-discharge rate of any one target battery monomer is greater than or equal to a second preset threshold value, determining that the battery has a self-discharge overlarge fault and outputting alarm information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: respectively acquiring a first SOC (state of charge) of each battery cell in the battery when the system is powered on and a second SOC of each battery cell when the system is powered off last time; and determining the self-discharge rate of each battery monomer in the battery during the power failure according to the capacity of each battery monomer in the last power failure of the system, the power failure time, the first SOC and the second SOC.
In one embodiment, the processor, when executing the computer program, further performs the steps of: sequencing the self-discharge rate of each battery monomer; and selecting the first N-bit battery cells with the largest discharge rate as target battery cells, wherein N is a natural number greater than 0.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and storing the identification of the target battery monomer, the self-discharge rate and the power-down time as characteristic data of the battery in the power-down period.
In one embodiment, when the number of sets of feature data currently stored in the memory of the system reaches a preset number, the processor when executing the computer program further performs the steps of: and updating the characteristic data stored in the memory in the earliest power failure period by using the characteristic data in the current power failure period.
In one embodiment, the characteristic data during the power down period further includes an identifier of a battery cell with a minimum self-discharge rate, a self-discharge rate, and an average self-discharge rate of the battery, and the processor executes the computer program to further implement the following steps: generating a first self-discharge distribution map of the battery according to the characteristic data in the current power failure period; generating a second self-discharge distribution map of the battery according to the feature data in the current power failure period and the feature data in the historical power failure period stored in the memory; and combining the first self-discharge distribution diagram and the second self-discharge distribution diagram, analyzing the self-discharge distribution condition of the battery, and outputting an analysis report.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
after a system is powered on and the current power failure time of the system is determined to be longer than a preset time, acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period;
selecting a battery monomer meeting preset screening conditions as a target battery monomer according to the self-discharge rate of each battery monomer;
when the self-discharge rate of any one target battery monomer is greater than or equal to a first preset threshold and smaller than a second preset threshold, and each group of feature data currently stored by the system contains the identifier of the target battery monomer, determining that the battery has an over-self-discharge fault and outputting alarm information; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when the self-discharge rate of any one target battery monomer is greater than or equal to a second preset threshold value, determining that the battery has a self-discharge overlarge fault and outputting alarm information.
In one embodiment, the computer program when executed by the processor further performs the steps of: respectively acquiring a first SOC (state of charge) of each battery cell in the battery when the system is powered on and a second SOC of each battery cell when the system is powered off last time; and determining the self-discharge rate of each battery monomer in the battery during the power failure according to the capacity of each battery monomer in the last power failure of the system, the power failure time, the first SOC and the second SOC.
In one embodiment, the computer program when executed by the processor further performs the steps of: sequencing the self-discharge rate of each battery monomer; and selecting the first N-bit battery cells with the largest discharge rate as target battery cells, wherein N is a natural number greater than 0.
In one embodiment, the computer program when executed by the processor further performs the steps of: and storing the identification of the target battery monomer, the self-discharge rate and the power-down time as characteristic data of the battery in the power-down period.
In one embodiment, when the number of sets of feature data currently stored in the memory of the system reaches a preset number, the processor when executing the computer program further performs the steps of: and updating the characteristic data stored in the memory in the earliest power failure period by using the characteristic data in the current power failure period.
In one embodiment, the characteristic data during the power down period further includes an identification of a cell with a minimum self-discharge rate, a self-discharge rate, and an average self-discharge rate of the battery, and the computer program when executed by the processor further implements the following steps: generating a first self-discharge distribution map of the battery according to the characteristic data in the current power failure period; generating a second self-discharge distribution map of the battery according to the feature data in the current power failure period and the feature data in the historical power failure period stored in the memory; and combining the first self-discharge distribution diagram and the second self-discharge distribution diagram, analyzing the self-discharge distribution condition of the battery, and outputting an analysis report.
The self-discharge detection device, the battery controller and the storage medium of the battery provided in the above embodiments can execute the self-discharge detection method of the battery provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. For technical details that are not described in detail in the above embodiments, reference may be made to a method for detecting self-discharge of a battery provided in any embodiment of the present application.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for detecting self-discharge of a battery, wherein the battery comprises a plurality of battery cells, the method comprising:
after a system is powered on and the current power failure time of the system is determined to be longer than a preset time, acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period;
selecting a battery monomer meeting preset screening conditions as a target battery monomer according to the self-discharge rate of each battery monomer;
when the self-discharge rate of any one target battery monomer is greater than or equal to a first preset threshold and smaller than a second preset threshold, and each group of feature data currently stored by the system contains the identifier of the target battery monomer, determining that the battery has an over-self-discharge fault and outputting alarm information; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
2. The method of claim 1, further comprising:
and when the self-discharge rate of any one target battery monomer is greater than or equal to a second preset threshold value, determining that the battery has a self-discharge overlarge fault and outputting alarm information.
3. The method according to claim 1 or 2, wherein the obtaining of the self-discharge rate of each battery cell in the battery during the current power failure period comprises:
respectively acquiring a first residual capacity percentage SOC of each battery cell in the battery when the system is powered on and a second SOC of each battery cell when the system is powered off last time;
and determining the self-discharge rate of each battery monomer in the battery during the power failure according to the capacity of each battery monomer in the last power failure of the system, the power failure time, the first SOC and the second SOC.
4. The method according to claim 1 or 2, wherein the selecting a battery cell meeting a preset screening condition as a target battery cell according to the self-discharge rate of each battery cell comprises:
sequencing the self-discharge rate of each battery monomer;
and selecting the first N-bit battery cells with the largest discharge rate as target battery cells, wherein N is a natural number greater than 0.
5. The method of claim 1 or 2, further comprising:
and storing the identification of the target battery monomer, the self-discharge rate and the power-down time as characteristic data of the battery in the power-down period.
6. The method according to claim 5, wherein when the number of sets of feature data currently stored in the memory of the system reaches a preset number, the storing process of the feature data during the power down period comprises:
and updating the characteristic data stored in the memory in the earliest power failure period by using the characteristic data in the current power failure period.
7. The method of claim 6, wherein the characteristic data during the power down period further comprises an identification of a cell with a minimum self-discharge rate, a self-discharge rate, and an average self-discharge rate of the battery, and the method further comprises:
generating a first self-discharge distribution map of the battery according to the characteristic data in the current power failure period;
generating a second self-discharge distribution map of the battery according to the feature data in the current power failure period and the feature data in the historical power failure period stored in the memory;
and combining the first self-discharge distribution diagram and the second self-discharge distribution diagram, analyzing the self-discharge distribution condition of the battery, and outputting an analysis report.
8. A self-discharge detection device for a battery, the battery including a plurality of battery cells, the device comprising:
the acquisition module is used for acquiring the self-discharge rate of each battery monomer in the battery in the current power failure period after the system is powered on and the current power failure time of the system is determined to be longer than the preset time;
the selection module is used for selecting the battery monomer meeting the preset screening condition as a target battery monomer according to the self-discharge rate of each battery monomer;
the system comprises a first processing module, a second processing module and a third processing module, wherein the first processing module is used for determining that the battery has a self-discharge overlarge fault and outputting alarm information when the self-discharge rate of any one target battery monomer is greater than a first preset threshold and smaller than a second preset threshold and each group of feature data currently stored by the system contains an identifier of the target battery monomer; wherein different sets of characteristic data are used to represent self-discharge information of the battery during different power-down periods.
9. A battery controller comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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