CN112526366B - Early warning method and device for electrical connectivity of battery, storage medium and electronic equipment - Google Patents
Early warning method and device for electrical connectivity of battery, storage medium and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to a battery electrical connectivity early warning method, a device, a storage medium and electronic equipment, which solve the technical problem that an alarm cannot be given in time when electrical connectivity fails. The method comprises the following steps: in the process of charging and discharging a power battery, acquiring a plurality of groups of voltage difference data, wherein one group of voltage difference data is formed by a plurality of voltage differences between the direct-current terminal voltage of an energy storage converter and the terminal voltage of a battery cluster; preprocessing each group of voltage difference data to obtain statistical data values corresponding to the group of voltage difference data, wherein the statistical data values comprise: at least one of average, median, mode, maximum, minimum; performing prediction processing according to a plurality of groups of statistical data values to obtain a predicted voltage difference; and controlling the early warning device to give an alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold. The method can alarm in early stage of electric connectivity fault, and improves timeliness of early warning.
Description
Technical Field
The disclosure relates to the battery industry, in particular to a battery electrical connectivity early warning method, a device, a storage medium and electronic equipment.
Background
Along with the rapid development of new energy automobiles, power batteries are widely used. In the using process of the power battery, due to corrosiveness of electrolyte, PSG (Power Conversion System, energy storage converter) and a battery cluster metal connecting piece are corroded and oxidized, so that the resistance value of the metal connecting piece is increased, the electric connectivity is deteriorated, the service life of the power battery is shortened, the electric connectivity of the power battery is required to be detected, and an alarm is given when the electric connectivity is deteriorated.
In the related art, a connection resistance is obtained according to a voltage difference between an energy storage converter and a battery cluster and a cluster current, and under the condition that the connection resistance exceeds a certain threshold value, the electrical connectivity between the energy storage converter and the battery cluster is determined to be faulty, so that the electrical connectivity of a power battery is detected.
Disclosure of Invention
The invention aims to provide a battery electrical connectivity early warning method, a device, a storage medium and electronic equipment, which can solve the problem that the related technology cannot give an alarm in time when electrical connectivity fails.
To achieve the above object, according to a first aspect of embodiments of the present disclosure, the present disclosure provides a battery electrical connectivity early warning method, the method including:
in the process of charging and discharging the power battery, acquiring a plurality of groups of voltage difference data, wherein one group of voltage difference data is formed by a plurality of voltage differences between the direct-current terminal voltage of the energy storage converter and the terminal voltage of the battery cluster;
preprocessing each group of voltage difference data to obtain a statistical data value corresponding to the group of voltage difference data, wherein the statistical data value comprises: at least one of average, median, mode, maximum, minimum;
performing prediction processing according to a plurality of groups of statistical data values to obtain a prediction voltage difference;
and controlling the early warning device to give an alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold.
Optionally, the statistical data value is one of average value, median, mode, maximum value and minimum value, and the prediction processing is performed according to the multiple sets of statistical data values to obtain a predicted voltage difference, which includes:
and processing the plurality of statistical data values by a least square method or a fitting method to obtain a predicted voltage difference.
Optionally, the statistical data value is a plurality of average, median, mode, maximum and minimum values, and the prediction processing is performed according to the plurality of sets of statistical data values to obtain a predicted voltage difference, including:
normalizing each group of statistical data values to obtain the weight of each group of statistical data values;
weighting each group of statistical data values according to the weight value to obtain a voltage difference corresponding to each group of statistical data values;
and processing the plurality of voltage differences through a least square method or a fitting method to obtain a predicted voltage difference.
Optionally, normalizing each set of the statistic data values to obtain a weight of each set of the statistic data values, including:
bringing each value Xk in each group of statistical data values into a first calculation formula to obtain the weight of each group of statistical data values;
wherein the first calculation formula includes: yk= [ Xk-min (X) ]/[ max (X) -min (X) ],
yk represents the weight corresponding to the value, min (X) represents the minimum value in the set of statistical data values, and max (X) represents the maximum value in the set of statistical data values.
Optionally, the precaution device includes the speaker, and control precaution device reports to the police, includes: controlling a loudspeaker to play preset voice so as to alarm;
and/or the number of the groups of groups,
the precaution device includes the pilot lamp, and control precaution device reports to the police, includes: the indicator lamp is controlled to flash at a preset frequency or to be lightened for a long time at a preset color so as to give an alarm.
According to a second aspect of embodiments of the present disclosure, the present disclosure provides a battery electrical connectivity warning device, the device comprising:
the acquisition module is configured to acquire a plurality of groups of voltage difference data in the process of charging and discharging the power battery, wherein one group of voltage difference data is formed by a plurality of voltage differences between the direct-current terminal voltage of the energy storage converter and the terminal voltage of the battery cluster;
the preprocessing module is configured to preprocess each group of voltage difference data to obtain a statistic data value corresponding to the group of voltage difference data, wherein the statistic data value comprises: at least one of average, median, mode, maximum, minimum;
the processing module is configured to perform prediction processing according to the plurality of groups of statistical data values to obtain a predicted voltage difference;
and the alarm module is configured to control the early warning device to alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold value.
Optionally, the processing module is configured to process the plurality of statistical data values by a least square method or a fitting method to obtain a predicted voltage difference, where the statistical data values are one of an average value, a median value, a mode value, a maximum value, and a minimum value.
Optionally, the processing module is configured to perform normalization processing on each group of statistical data values to obtain a weight of each group of statistical data values, where the statistical data values are multiple of average, median, mode, maximum and minimum values;
weighting each group of statistical data values according to the weight value to obtain a voltage difference corresponding to each group of statistical data values;
and processing the plurality of voltage differences through a least square method or a fitting method to obtain a predicted voltage difference.
According to a third aspect of embodiments of the present disclosure, the present disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the battery electrical connectivity pre-warning method of the first aspect.
According to a fourth aspect of embodiments of the present disclosure, the present disclosure provides an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the battery electrical connectivity pre-warning method of the first aspect.
Through the above technical scheme, the technical scheme provided by the embodiment of the disclosure can include the following beneficial effects: according to the method and the device, the predicted voltage difference is obtained through the voltage difference data between the energy storage converter and the battery cluster, whether the electrical connectivity fails or not is determined according to the predicted voltage difference, and the alarm can be carried out when the electrical connectivity is about to fail or just begins to fail, so that the timeliness of the alarm is improved, the early warning result is only influenced by the voltage difference, and the reliability of the early warning result is improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
fig. 1 is a flowchart illustrating a battery electrical connectivity pre-warning method according to an exemplary embodiment.
Fig. 2 is a block diagram illustrating a battery electrical connectivity warning device according to an exemplary embodiment.
Fig. 3 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure.
It should be noted that, in this disclosure, the terms "S101", "S102", and the like in the specification and claims and in the drawings are used for distinguishing between steps and not necessarily for performing the method steps in a particular order or sequence.
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
Before introducing the battery electrical connectivity early warning method, the device, the storage medium and the electronic equipment provided by the embodiment of the disclosure, an application scenario of the disclosure is first described, and the battery electrical connectivity early warning method provided by the disclosure can be applied to a battery, which can be a power battery.
Along with the rapid development of new energy automobiles, power batteries are widely used. In the using process of the power battery, due to corrosiveness of electrolyte, PSG (Power Conversion System, energy storage converter) and a battery cluster metal connecting piece are corroded and oxidized, so that the resistance value of the metal connecting piece is increased, the electric connectivity is deteriorated, the service life of the power battery is shortened, the electric connectivity of the power battery is required to be detected, and an alarm is given when the electric connectivity is deteriorated.
In the related art, a connection resistance is obtained according to a voltage difference between an energy storage converter and a battery cluster and a cluster current, and under the condition that the connection resistance exceeds a certain threshold value, the electrical connectivity between the energy storage converter and the battery cluster is determined to be faulty, so that the electrical connectivity of a power battery is detected.
However, the electrical connectivity fault is caused by the corrosiveness of the electrolyte, the process is slow, the electrical connectivity fault needs to be detected timely and effectively, and the electrical connectivity of the power battery is unreliable due to the fact that the connection resistance in the prior art is influenced by two parameters of the voltage difference and the cluster current, if the acquired voltage difference and the cluster current are too low in precision, the acquired resistance is inaccurate; under the condition that the obtained resistance value is smaller than the actual resistance value, the electric connectivity fault is detected to a serious degree; and cannot alarm when electrical connectivity fails or just begins to fail.
In order to solve the above technical problem, the present disclosure provides a battery electrical connectivity pre-warning method, which is applied to a power battery as an example, and fig. 1 is a flowchart of a battery electrical connectivity pre-warning method according to an exemplary embodiment, and as shown in fig. 1, the method includes the following steps.
In step S101, during the charging and discharging process of the power battery, multiple sets of voltage difference data are obtained, where one set of voltage difference data is formed by multiple voltage differences between the dc terminal voltage of the energy storage converter and the terminal voltage of the battery cluster.
In step S102, preprocessing is performed on each set of voltage difference data to obtain a statistical data value corresponding to the set of voltage difference data, where the statistical data value includes: at least one of average, median, mode, maximum, minimum.
In step S103, a prediction process is performed according to the plurality of sets of statistical data values, so as to obtain a predicted voltage difference.
In step S104, the early warning device is controlled to alarm when the predicted voltage difference is greater than the early warning trigger threshold.
Specifically, the early warning trigger threshold may be calibrated in advance by the following method:
acquiring a plurality of groups of voltage difference data in the normal charge and discharge process of the power battery, wherein one group of voltage difference data is formed by a plurality of voltage differences between the direct-current terminal voltage of the PSG and the terminal voltage of the battery cluster;
preprocessing each group of voltage difference data to obtain statistical data values corresponding to the group of voltage difference data, wherein the statistical data values comprise: at least one of average, median, mode, maximum, minimum;
and carrying out prediction processing according to a plurality of groups of statistical data values to obtain an early warning trigger threshold.
Specifically, the plurality of groups of voltage difference data of the pre-calibrated early warning trigger threshold value can be obtained from the charging and discharging process of the qualified power battery to be delivered; or can be obtained from the charging and discharging process of qualified power batteries with short delivery time (such as delivery time of one month to three months).
According to the battery electrical connectivity early warning method, the voltage difference data between the energy storage converter and the battery cluster is preprocessed and predicted to be the predicted voltage difference, whether the electrical connectivity fails or not is determined according to the predicted voltage difference and the early warning trigger threshold, and the early warning device is controlled to give an alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold. The method has the advantages that the voltage difference prediction is realized according to the existing voltage difference, the electric connectivity between the PSG and the battery cluster can be detected in real time, the metal connecting piece between the PSG and the battery cluster is about to be corroded and oxidized or is immediately subjected to corrosion and oxidation, the warning is carried out, the timeliness of the early warning is ensured, the early warning result is only influenced by the voltage difference, the calculated amount of the early warning process is reduced, and the reliability of the early warning result is improved.
Specifically, in step S102, the preprocessing is performed on each set of voltage differences to obtain a corresponding set of voltage differences, where the preprocessing may include: at least one of averaging the average voltage differences of each set of voltage differences, determining the median of each set of voltage differences, determining the mode of each set of voltage differences, determining the maximum voltage difference of each set of voltage differences as a maximum value, and indeed the minimum voltage difference of each set of voltage differences as a minimum value.
Optionally, the statistical data value is one of average value, median, mode, maximum value and minimum value, and in step S103, the predicting process is performed according to the multiple sets of statistical data values to obtain a predicted voltage difference, which may include:
and processing the plurality of statistical data values by a least square method or a fitting method to obtain a predicted voltage difference.
For example, in the case that the statistical data value is an average value, processing the plurality of average values by a least square method to obtain a predicted voltage difference; or processing the plurality of average values by a fitting method to obtain a predicted voltage difference.
The least square method and the fitting method are existing machine learning algorithms, and the disclosure does not describe the least square method and the fitting method in detail.
Optionally, the statistical data values are a plurality of average, median, mode, maximum and minimum values, and in step S103, a prediction process is performed according to the plurality of sets of statistical data values to obtain a predicted voltage difference, which includes:
normalizing each group of statistical data values to obtain the weight of each group of statistical data values;
weighting each group of statistical data values according to the weight value to obtain a voltage difference corresponding to each group of statistical data values;
and processing the plurality of voltage differences through a least square method or a fitting method to obtain a predicted voltage difference.
Specifically, the more data types the statistical data value contains, the more accurate the predicted voltage difference obtained according to the statistical data value, and the reliability of the early warning result obtained according to the predicted voltage difference is improved.
For example, in the case that the statistical data values are average values and median values, a group of statistical data values includes average values and median values, and normalization processing is performed on the average values and the median values in each group of statistical data values respectively to obtain weights of the average values and weights of the median values in each group of statistical data values;
according to the weight of the average value and the weight of the median of each group of statistical data values, carrying out weighting treatment on the average value and the median of each group of statistical data values to obtain a voltage difference corresponding to each group of statistical data values;
processing the plurality of voltage differences through a least square method to obtain a predicted voltage difference;
or the plurality of voltage differences are processed through a fitting method to obtain the predicted voltage difference.
Optionally, normalizing each set of statistical data values to obtain a weight of each set of statistical data values may include:
bringing each value Xk in each group of statistical data values into a first calculation formula to obtain the weight of each group of statistical data values;
wherein the first calculation formula includes: yk= [ Xk-min (X) ]/[ max (X) -min (X) ],
yk represents the weight corresponding to the value, min (X) represents the minimum value in the set of statistical data values, and max (X) represents the maximum value in the set of statistical data values.
For example, in the case where the statistical data values are average and median, a set of statistical data values includes average and median, with the average being taken as Xk 1 Carry-over to the first calculation Yk 1 ＝[Xk 1 -min(X 1 )]/[max(X 1 )-min(X 1 )]In (3), the weight Yk of the average value is obtained 1 Wherein min (X 1 ) Represents the minimum voltage difference, max (X 1 ) Representing the maximum voltage difference in the set of statistical data values; the median is taken as Xk 2 Carry-over to the first calculation Yk 2 ＝[Xk 2 -min(X 2 )]/[max(X 2 )-min(X 2 )]In (3) obtaining the median weight Yk 2 The method comprises the steps of carrying out a first treatment on the surface of the Wherein min (X 1 ) And min (X) 2 ) And, as such, represent the minimum value, max (X 1 ) And max (X) 2 ) And, as such, represent the maximum value in the set of statistical data values.
Optionally, the precaution device includes a speaker, and in step S104, the precaution device is controlled to alarm, including: controlling a loudspeaker to play preset voice so as to alarm;
and/or the number of the groups of groups,
the early warning device comprises an indicator lamp, and in step S104, the early warning device is controlled to give an alarm, and the method comprises the following steps: the indicator lamp is controlled to flash at a preset frequency or to be lightened for a long time at a preset color so as to give an alarm.
The preset voice can be voice information pre-recorded by a user, the preset frequency and the preset color can be preset according to actual alarm conditions, and the method is not particularly limited.
For example, when the predicted voltage difference is greater than the early warning trigger threshold, the early warning device is a loudspeaker, and the loudspeaker is controlled to play a voice of detecting abnormal electrical connectivity of the power battery so as to give an alarm;
under the condition that the early warning device is an indicator lamp, the indicator lamp is controlled to flash at the frequency of 30 times/min so as to give an alarm; or the indicator lamp is controlled to be in a yellow long-bright state so as to give an alarm;
under the condition that the early warning device comprises a loudspeaker and an indicator lamp at the same time, controlling the loudspeaker to play a voice of detecting abnormal electrical connectivity of the power battery, and simultaneously controlling the indicator lamp to flash at the frequency of 30 times/min so as to give an alarm; or the loudspeaker is controlled to play the voice of detecting the abnormal electrical connectivity of the power battery, and meanwhile, the indicator lamp is controlled to be in a yellow long-bright state so as to give an alarm.
Fig. 2 is a block diagram of a battery electrical connectivity pre-warning device according to an exemplary embodiment, and as shown in fig. 2, the battery electrical connectivity pre-warning device 1300 includes: an acquisition module 1301, a preprocessing module 1302, a processing module 1303, and an alarm module 1304.
The acquiring module 1301 is configured to acquire a plurality of sets of voltage difference data during charging and discharging of the power battery, where a set of voltage difference data is formed by a plurality of voltage differences between a dc terminal voltage of the energy storage converter and a terminal voltage of the battery cluster.
The preprocessing module 1302 is configured to preprocess each set of voltage difference data to obtain a statistic value corresponding to the set of voltage difference data, where the statistic value includes: at least one of average, median, mode, maximum, minimum.
The processing module 1303 is configured to perform prediction processing according to the multiple sets of statistical data values, so as to obtain a predicted voltage difference.
An alarm module 1304 configured to control the pre-alarm to alarm if the predicted voltage difference is greater than the pre-alarm trigger threshold.
According to the battery electrical connectivity early warning device provided by the embodiment of the disclosure, through preprocessing and predicting voltage difference data between the energy storage converter and the battery cluster to a predicted voltage difference, whether the electrical connectivity fails or not is determined according to the predicted voltage difference and the early warning trigger threshold, and the early warning device is controlled to give an alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold. The method has the advantages that the voltage difference prediction is realized according to the existing voltage difference, the electric connectivity between the PSG and the battery cluster can be detected in real time, the metal connecting piece between the PSG and the battery cluster is about to be corroded and oxidized or is immediately subjected to corrosion and oxidation, the warning is carried out, the timeliness of the early warning is ensured, the early warning result is only influenced by the voltage difference, the calculated amount of the early warning process is reduced, and the reliability of the early warning result is improved.
Optionally, the processing module 1303 is specifically configured to process a plurality of statistical data values by a least square method or a fitting method to obtain a predicted voltage difference, where the statistical data value is one of an average value, a median value, a mode value, a maximum value, and a minimum value.
Optionally, the processing module 1303 is specifically configured to perform normalization processing on each set of statistical data values to obtain a weight value of each set of statistical data values, where the statistical data values are multiple of an average value, a median, a mode, a maximum value and a minimum value;
weighting each group of statistical data values according to the weight value to obtain a voltage difference corresponding to each group of statistical data values;
and processing the plurality of voltage differences through a least square method or a fitting method to obtain a predicted voltage difference.
Optionally, the processing module 1303 is specifically configured to bring each value Xk in each set of statistical data values into the first calculation formula, to obtain a weight of each set of statistical data values;
wherein the first calculation formula includes: yk= [ Xk-min (X) ]/[ max (X) -min (X) ],
yk represents the weight corresponding to the value, min (X) represents the minimum value in the set of statistical data values, and max (X) represents the maximum value in the set of statistical data values.
Optionally, the alarm module 1304 is specifically configured to control the speaker to play a preset voice to alarm; and/or the number of the groups of groups,
the indicator lamp is controlled to flash at a preset frequency or to be lightened for a long time at a preset color so as to give an alarm.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
The present disclosure also provides a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of a battery electrical connectivity pre-warning method provided by the present disclosure.
In particular, the computer readable storage medium may be a flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, etc.
Regarding the computer-readable storage medium in the above-described embodiments, the steps of the battery electrical connectivity warning method when the computer program stored thereon is executed have been described in detail in the embodiments regarding the method, and are not described in detail herein.
The present disclosure also provides an electronic device including:
a memory having a computer program stored thereon;
and the processor is used for executing the computer program in the memory to realize the steps of the battery electrical connectivity early warning method.
According to the electronic equipment, the voltage difference data between the energy storage converter and the battery cluster is preprocessed and predicted to be the predicted voltage difference, whether the electrical connectivity fails or not is determined according to the predicted voltage difference and the early warning trigger threshold, and the early warning device is controlled to give an alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold. The method has the advantages that the voltage difference prediction is realized according to the existing voltage difference, the electric connectivity between the PSG and the battery cluster can be detected in real time, the metal connecting piece between the PSG and the battery cluster is about to be corroded and oxidized or is immediately subjected to corrosion and oxidation, the warning is carried out, the timeliness of the early warning is ensured, the early warning result is only influenced by the voltage difference, the calculated amount of the early warning process is reduced, and the reliability of the early warning result is improved.
Fig. 3 is a block diagram of an electronic device 700, according to an example embodiment. As shown in fig. 3, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700 to perform all or part of the steps in the battery electrical connectivity pre-warning method described above. The memory 702 is used to store various types of data to support operation at the electronic device 700, which may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as sets of voltage difference data, statistical data values, pre-alarm trigger thresholds, and the like.
The Memory 702 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The multimedia component 703 can include a screen, an audio component, and an precaution. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 702 or transmitted through the communication component 705. For example, the pre-alarm may comprise at least one speaker for outputting a speech signal. The precaution device can also comprise an indicator light for outputting an alarm signal.
The I/O interface 704 provides an interface between the processor 701 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.
The communication component 705 is for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 705 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic device 700 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processor (Digital Signal Processor, abbreviated as DSP), digital signal processing device (Digital Signal Processing Device, abbreviated as DSPD), programmable logic device (Programmable Logic Device, abbreviated as PLD), field programmable gate array (Field Programmable Gate Array, abbreviated as FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the battery electrical connectivity pre-warning method described above.
In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described battery electrical connectivity warning method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations are not described further in this disclosure in order to avoid unnecessary repetition.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.
Claims (10)
1. A battery electrical connectivity pre-warning method, the method comprising:
in the process of charging and discharging a power battery, acquiring a plurality of groups of voltage difference data, wherein one group of voltage difference data is formed by a plurality of voltage differences between the direct-current terminal voltage of an energy storage converter and the terminal voltage of a battery cluster;
preprocessing each group of voltage difference data to obtain statistical data values corresponding to the group of voltage difference data, wherein the statistical data values comprise: at least one of average, median, mode, maximum, minimum;
performing prediction processing according to a plurality of groups of statistical data values to obtain a predicted voltage difference;
and controlling the early warning device to give an alarm under the condition that the predicted voltage difference is larger than the early warning trigger threshold.
2. The method of claim 1, wherein the statistical data value is one of average, median, mode, maximum, and minimum, and the predicting processing is performed according to the plurality of sets of statistical data values to obtain the predicted voltage difference, and the method comprises:
and processing a plurality of statistical data values through a least square method or a fitting method to obtain a predicted voltage difference.
3. The method of claim 1, wherein the statistical data value is a plurality of average, median, mode, maximum, and minimum values, and the predicting processing is performed according to the plurality of sets of statistical data values to obtain the predicted voltage difference, and the method comprises:
carrying out normalization processing on each group of statistical data values to obtain the weight of each group of statistical data values;
weighting each group of statistical data values according to the weight to obtain a voltage difference corresponding to each group of statistical data values;
and processing a plurality of the voltage differences through a least square method or a fitting method to obtain a predicted voltage difference.
4. A method according to claim 3, wherein said normalizing each set of said statistical data values to obtain a weight for each set of said statistical data values comprises:
bringing each value Xk in each group of the statistic data values into a first calculation formula to obtain the weight of each group of the statistic data values;
wherein the first calculation formula includes: yk= [ Xk-min (X) ]/[ max (X) -min (X) ],
yk represents the weight corresponding to the value, min (X) represents the minimum value in the set of statistical data values, and max (X) represents the maximum value in the set of statistical data values.
5. The method of claim 1, wherein the pre-alarm comprises a speaker, and wherein the controlling the pre-alarm alarms comprises: controlling a loudspeaker to play preset voice so as to alarm;
and/or the number of the groups of groups,
the precaution device includes the pilot lamp, control precaution device reports to the police, includes: the indicator lamp is controlled to flash at a preset frequency or to be lightened for a long time at a preset color so as to give an alarm.
6. A battery electrical connectivity warning device, the device comprising:
the acquisition module is configured to acquire a plurality of groups of voltage difference data in the charging and discharging process of the power battery, wherein one group of voltage difference data is formed by a plurality of voltage differences between the direct-current terminal voltage of the energy storage converter and the terminal voltage of the battery cluster;
a preprocessing module configured to preprocess each set of voltage difference data to obtain a statistical data value corresponding to the set of voltage difference data, the statistical data value comprising: at least one of average, median, mode, maximum, minimum;
the processing module is configured to perform prediction processing according to a plurality of groups of the statistical data values to obtain a predicted voltage difference;
and the alarm module is configured to control the early warning device to alarm under the condition that the predicted voltage difference is larger than an early warning trigger threshold value.
7. The apparatus of claim 6, wherein the processing module is configured to process a plurality of the statistical data values by least squares or fitting to obtain a predicted voltage difference, the statistical data values being one of average, median, mode, maximum, and minimum.
8. The apparatus of claim 6, wherein the processing module is configured to normalize each set of the statistical data values to obtain a weight for each set of the statistical data values, the statistical data values being a plurality of average, median, mode, maximum, minimum;
weighting each group of statistical data values according to the weight to obtain a voltage difference corresponding to each group of statistical data values;
and processing a plurality of the voltage differences through a least square method or a fitting method to obtain a predicted voltage difference.
9. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the battery electrical connectivity pre-warning method of any one of claims 1-5.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the battery electrical connectivity warning method of any one of claims 1-5.
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| CN114996623A (en) * | 2022-08-05 | 2022-09-02 | 天聚地合(苏州)科技股份有限公司 | Crawler identification method and device, electronic equipment and computer readable storage medium |
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