CN113555613B - Intelligent management system for battery pack clusters - Google Patents
Intelligent management system for battery pack clusters Download PDFInfo
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- CN113555613B CN113555613B CN202110802422.0A CN202110802422A CN113555613B CN 113555613 B CN113555613 B CN 113555613B CN 202110802422 A CN202110802422 A CN 202110802422A CN 113555613 B CN113555613 B CN 113555613B
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention provides an intelligent management system for a battery pack cluster, which comprises a battery pack cluster based on a preset topological structure according to the topological structure; the system comprises a battery pack clustering device, a monitoring module and a control module, wherein the battery pack clustering device is used for monitoring the state of the battery pack clustering device in real time, determining the state information of the battery pack clustering device, judging the state information of the battery pack clustering device and determining a judgment result; a prediction management module: the battery pack cluster device state prediction method comprises the steps of storing normal state information of the battery pack cluster device when the judgment result is that the battery pack cluster device displays the normal state information, predicting the state of the battery pack cluster device based on a preset deep learning neural network, and generating a prediction result; the battery pack positioning device is used for positioning the battery pack with abnormal state information when the judgment result shows that the battery pack clustering device displays the abnormal state information, acquiring the position information of the abnormal battery pack and determining the abnormal result; a control end: and the protection device is used for receiving the prediction result and the abnormal result and generating a corresponding protection scheme based on a preset logic scheme.
Description
Technical Field
The invention relates to the technical field of battery pack clusters and intelligent management systems, in particular to an intelligent management system of a battery pack cluster.
Background
At present, in other fields with huge energy consumption, such as large industrial technology, construction and the like, batteries are often required to be clustered to ensure the consumption of electric energy, but because the battery packs are arranged together, huge heat energy is often generated, the heat dissipation of the batteries is not timely, or the batteries are damaged due to overhigh temperature, the service life of the batteries is reduced, and because the batteries are used for a long time, the pressure bearing of the batteries is huge, the problems are that the naked eyes of people cannot easily and timely check the chemical changes of the batteries due to the influence of physical environment, so that intelligent management is required, the abnormal conditions of the battery packs are timely obtained, the state information of the battery packs is timely determined according to the influence of factors such as current environment and the like, the service life of the batteries is prolonged in indirect modes of charging, discharging, pressure relief and the like, and the abnormal conditions and the solutions are timely pushed, the abnormal battery can be checked without special technicians, so that the whole system can acquire abnormal information and solutions in time for ordinary personnel.
Disclosure of Invention
The invention provides an intelligent management system for a battery pack cluster, which aims to solve the problems in the background technology.
The invention provides an intelligent management system for a battery pack cluster, which is characterized by comprising the following components:
battery package cluster device: the battery pack clustering device is used for clustering a battery pack according to a preset topological structure based on the topological structure;
a monitoring management module: the system comprises a battery pack clustering device, a monitoring module and a control module, wherein the battery pack clustering device is used for monitoring the state of the battery pack clustering device in real time, determining the state information of the battery pack clustering device, judging the state information of the battery pack clustering device and determining a judgment result; wherein the content of the first and second substances,
the state information comprises temperature state information and air pressure state information;
a prediction management module: the battery pack cluster device state prediction method comprises the steps of storing normal state information of the battery pack cluster device when the judgment result is that the battery pack cluster device displays the normal state information, predicting the state of the battery pack cluster device based on a preset deep learning neural network, and generating a prediction result;
a positioning management module: the battery pack positioning device is used for positioning the battery pack with abnormal state information when the judgment result shows that the battery pack clustering device displays the abnormal state information, acquiring the position information of the abnormal battery pack and determining the abnormal result;
a control end: the protection device is used for receiving the prediction result and the abnormal result and generating a corresponding protection scheme based on a preset logic scheme; wherein the content of the first and second substances,
the protection scheme includes a prevention scheme and a solution scheme.
As an embodiment of the present technical solution, the battery pack cluster apparatus includes a daisy-chain link line device, a cluster assembly device, and a battery pack; wherein the content of the first and second substances,
the daisy chain wiring device is used for installing cluster assembling equipment by utilizing a daisy chain;
the cluster assembly equipment is used for assembling the battery pack cluster.
As an embodiment of the present technical solution, the monitoring management module includes:
temperature sensor device: the system comprises a battery pack cluster device, a temperature monitoring module and a temperature monitoring module, wherein the battery pack cluster device is used for monitoring and acquiring temperature state data of the battery pack cluster device in real time and generating temperature state information of the battery pack cluster device according to the temperature state data;
an air pressure sensor device: the system comprises a pressure sensor, a battery pack cluster device and a controller, wherein the pressure sensor is used for monitoring and acquiring pressure state data of the battery pack cluster device in real time and generating air pressure state information of the battery pack cluster device according to the air pressure state data;
single chip microcomputer equipment: the battery pack cluster device is used for receiving temperature state information and air pressure state information of the battery pack cluster device in real time, respectively judging whether the temperature state information and the air pressure state information are larger than a preset threshold value, and determining a judgment result; wherein the content of the first and second substances,
the threshold comprises a temperature threshold and a pressure threshold;
the judgment result comprises a first judgment result and a second judgment result.
As an embodiment of this technical solution, the single chip microcomputer device includes:
a temperature processor: the temperature state information is compared with a preset temperature threshold value based on a preset time range, whether the temperature state information is larger than the preset temperature threshold value or not is judged, and a first judgment result is determined;
an air pressure processor: and the second transmission unit is used for comparing the air pressure state information with a preset air pressure threshold value based on a preset time range, judging whether a second transmission result is greater than the preset air pressure threshold value or not and determining a second judgment result.
As an embodiment of the present technical solution, the prediction management module includes:
physical environment parameter detection equipment: the system comprises a battery pack cluster device, a control device and a control module, wherein the battery pack cluster device is used for acquiring physical environment parameters of the battery pack cluster device under normal state information;
an information data acquisition unit: the information data of the battery pack cluster device under the normal state information is acquired;
big data service equipment: the system comprises a data acquisition module, a data transmission module and a data transmission module, wherein the data acquisition module is used for acquiring simulation data, training information data of the battery pack cluster device under normal state information through the simulation data, predicting the battery pack cluster device under the normal state information and determining a prediction result; wherein the content of the first and second substances,
the physical environment parameters comprise environment temperature, environment humidity, environment pH value and environment air pressure value;
a display device: and the prediction report generation module is used for generating a prediction report by utilizing the prediction result and transmitting the prediction report to the display equipment of the handheld terminal of the user.
As an embodiment of the present technical solution, the big data service device includes:
a behavior data generator: the simulation data is used for training the information data of the battery pack cluster device under the normal state information to generate behavior data of the battery pack cluster device;
the estimated data generator: the battery pack clustering device under the normal state information is predicted through behavior data and a preset Bayesian probability algorithm, and predicted data are determined;
a curve processor: the system is used for simulating the state information trend of the battery pack according to the estimated data and drawing a predicted simulation state curve of the battery pack;
the prediction report generator: the system comprises a prediction simulation state curve generation module, a prediction report generation module and a user handheld terminal, wherein the prediction simulation state curve generation module is used for reading a prediction simulation state curve, determining key information points, generating a prediction result according to the key information points, generating a prediction report according to the prediction result and transmitting the prediction report to the user handheld terminal.
As an embodiment of the present technical solution, the positioning management module includes:
the initial positioning device: when abnormal state information occurs in the battery pack cluster device, initially positioning the battery pack with the abnormal state information according to a formula (1) to determine a candidate cluster;
wherein the content of the first and second substances,
represents the initial positioning result of the abnormal state battery pack,
represents a loss rate of the position data of the battery pack,
，
represents the total number of the battery packs,
which is representative of the current of the battery pack,
representing the maximum current supplied by the battery pack cluster apparatus,
representing a look-up function for battery pack position data,
represents the first
A position data lookup function for the battery pack,
represents the ratio of location finding failure samples;
accurate positioner: the battery pack positioning system is used for checking the candidate cluster, accurately positioning the battery pack and determining the position information of the abnormal battery pack;
an abnormal state information collector: the abnormal battery pack management system is used for acquiring abnormal state information of the abnormal battery pack according to the position information;
the microprocessor: and the abnormal battery pack is used for determining an abnormal result according to the position information and the abnormal state information of the abnormal battery pack.
As an embodiment of the present technical solution, the control end includes:
connecting a data line: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module, the prediction management module and the positioning management module are used for being physically connected and sending corresponding control commands to the monitoring management module, the prediction management module and the positioning management module;
a receiver: the system is used for receiving the prediction result fed back by the prediction management module and the abnormal result fed back by the positioning management module;
a processing simulator: the system comprises a big data service device, a prediction result, a deduction result determination module, a big data processing center and a big data processing module, wherein the big data processing center is used for performing data deduction on the basis of the big data processing center preset in the big data service device, determining the deduction result and calling a prevention scheme of the big data center according to the deduction result;
a storage processing chip: the system comprises a big data center, a user handheld terminal, a data analysis module, a characteristic mining module, a data analysis module and a characteristic mining module, wherein the big data center is used for analyzing data and mining characteristics of abnormal results based on a preset big data center to generate an abnormal characteristic report, tracing historical scheme data in a scheme database preset by the big data center according to the abnormal characteristic report, determining a solution and transmitting the solution to the user handheld terminal; wherein the content of the first and second substances,
the solution comprises an abnormal information report and a maintenance suggestion;
a power supply control valve: the battery pack cluster device is used for controlling the power supply of the battery pack cluster device; wherein the content of the first and second substances,
the power control comprises power cut-off, charging, discharging and pressure relief.
As an embodiment of the present invention, the solution unit includes:
a pretreatment subunit: the system is used for carrying out data analysis and feature mining on the abnormal result based on a preset big data processing center to determine a preprocessing result;
an anomaly characteristic reporting subunit: generating an abnormal feature report according to the generated preprocessing result;
a storage unit: the system comprises an abnormal characteristic report, a historical scheme database and a historical abnormal characteristic report, wherein the abnormal characteristic report is used for tracing the historical scheme in the scheme database preset by the big data center, determining the historical abnormal characteristic report of the historical scheme, and calculating the characteristic difference between the abnormal characteristic report and the historical abnormal characteristic report;
solution subunit: the method is used for acquiring a historical scheme corresponding to the minimum feature difference degree, determining a solution and transmitting the solution to the user handheld terminal.
As an embodiment of the present invention, the power control valve includes:
a logic gate circuit: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module is used for receiving battery pack state information fed back by the monitoring management module, the prediction management module and the positioning management module, performing logic judgment according to the state information and determining a logic judgment result; wherein the content of the first and second substances,
the logic judgment is carried out by more than two logic gates consisting of 1 and 0;
a control valve: the logic control module is used for carrying out corresponding logic control according to a logic judgment result; wherein the content of the first and second substances,
when the power supply control unit receives the condition that the logic gate is not, the power supply is cut off;
when the power supply control unit receives the condition that the logic gate is yes, the power supply is charged;
discharging the battery pack when the battery pack is determined to be abnormal;
when the air pressure sensor acquires that the air pressure exceeds a preset air pressure threshold value, air pressure relief is carried out based on a preset pressure relief valve in the battery pack clustering device.
The invention has the following beneficial effects: through carrying out timely inspection and control to the battery device of daisy chain formula, confirm the state of cluster battery package, carry out intelligent management to the battery package, timely maintenance, and the state of confirming the battery package through the call of historical scheme, timely carry out intelligent control and management to the battery package, confirm unusual battery in time to change, and measure the physical environment of the battery under the normal condition, and demonstrate the future trend of simulation battery, avoid battery explosion or conflagration etc. in time, in time carry out the preview, reduce the human cost, improve the security that the battery used.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a system block diagram of an intelligent management system for a battery pack cluster according to an embodiment of the present invention;
FIG. 2 is a system block diagram of an intelligent management system for a battery pack cluster according to an embodiment of the present invention;
fig. 3 is a system block diagram of an intelligent management system for a battery pack cluster according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
It should be noted that the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example 1:
as shown in fig. 1, an embodiment of the present invention provides an intelligent management system for a battery pack cluster, including:
battery package cluster device: the battery pack clustering device is used for clustering a battery pack according to a preset topological structure based on the topological structure;
the monitoring management module: the system comprises a battery pack clustering device, a monitoring module and a control module, wherein the battery pack clustering device is used for monitoring the state of the battery pack clustering device in real time, determining the state information of the battery pack clustering device, judging the state information of the battery pack clustering device and determining a judgment result; wherein the content of the first and second substances,
the state information comprises temperature state information and air pressure state information;
a prediction management module: the battery pack cluster device state prediction method comprises the steps of storing normal state information of the battery pack cluster device when the judgment result is that the battery pack cluster device displays the normal state information, predicting the state of the battery pack cluster device based on a preset deep learning neural network, and generating a prediction result;
a positioning management module: the battery pack positioning device is used for positioning the battery pack with abnormal state information when the judgment result shows that the battery pack clustering device displays the abnormal state information, acquiring the position information of the abnormal battery pack and determining the abnormal result;
a control end: the protection device is used for receiving the prediction result and the abnormal result and generating a corresponding protection scheme based on a preset logic scheme; wherein the content of the first and second substances,
the protection scheme includes a prevention scheme and a solution scheme.
The working principle of the technical scheme is as follows: the battery pack clustering device has the following functions: the method for clustering the battery pack uses a preset topological structure, the preset topological structure can enable the battery pack to successfully complete clustering by a mesh-type topological structure or a ring-type topological structure, meanwhile, a monitoring management module is indispensable, the monitoring management module monitors the state of the battery pack in real time, monitors the state information of the battery pack, judges the real-time state of the battery pack, monitors the temperature state information and the air pressure state information of the battery pack, the two aspects of information are important for the safe composition of the battery in the battery pack, the temperature and the air pressure are used for judging whether the battery has the possibility of bulge rupture state and the condition that the battery cannot dissipate heat to stop the operation of the whole battery pack due to overhigh temperature, a prediction management module is used when the current state information of the battery pack is judged by the temperature and the air pressure, predicting the possible state which can appear next according to the current state of the battery pack and generating a predicted result through a preset deep learning neural network and the stored safety range of the normal operation state information of the battery pack; after the prediction structure is obtained, if the battery pack is in a normal state, the battery pack continues to work normally, if the battery pack is in an abnormal state, the battery pack in the abnormal state in the battery cluster is positioned, the position information of the abnormal battery pack is obtained, and the position and the specific abnormal condition of the abnormal battery pack are determined; the control end is used for receiving the predicted result and the abnormal result information and generating a corresponding protection scheme according to the set logic scheme, wherein the protection scheme comprises a prevention scheme and a solution scheme;
the beneficial effects of the above technical scheme are: the battery pack is subjected to cluster type device through the topological structure, so that the overall electric quantity and the working efficiency of the battery pack are greatly improved; the monitoring module monitors the battery pack in real time, the accident rate in the use process of the battery pack is reduced, the use safety is improved, the prediction management module detects and monitors the daisy-chained battery device in time, the state of the clustered battery pack is determined, the battery pack is intelligently managed and maintained in time, the state of the battery pack is determined by calling a historical scheme, the battery pack is intelligently monitored and managed in time, abnormal batteries are determined to be replaced in time, the physical environment of the batteries under normal conditions is measured, the future trend of the batteries is deduced and simulated, the batteries are prevented from being exploded or conflagrated, the prediction is performed in time, the labor cost is reduced, and the use safety of the batteries is improved.
Example 2:
the technical scheme provides an embodiment, and the battery pack cluster device comprises daisy chain link line equipment, cluster assembly equipment and a battery pack; wherein the content of the first and second substances,
the daisy chain wiring device is used for installing cluster assembling equipment by utilizing a daisy chain;
the cluster assembly equipment is used for assembling the battery pack cluster.
The working principle of the technical scheme is as follows: in the battery pack cluster device, daisy chain connection equipment, cluster assembly equipment and a battery pack are required to be used;
the beneficial effects of the above technical scheme are: clear equipment divides the worker to make whole battery package cluster device accomplish smooth operation at the operation in-process, gets rid of the redundancy, promotes the work efficiency of group battery.
Example 3:
as shown in fig. 2, the present technical solution provides an embodiment, where the monitoring management module includes:
temperature sensor device: the system comprises a battery pack cluster device, a temperature monitoring module and a temperature monitoring module, wherein the battery pack cluster device is used for monitoring and acquiring temperature state data of the battery pack cluster device in real time and generating temperature state information of the battery pack cluster device according to the temperature state data;
an air pressure sensor device: the system comprises a pressure sensor, a battery pack cluster device and a controller, wherein the pressure sensor is used for monitoring and acquiring pressure state data of the battery pack cluster device in real time and generating air pressure state information of the battery pack cluster device according to the air pressure state data;
single chip microcomputer equipment: the battery pack cluster device is used for receiving temperature state information and air pressure state information of the battery pack cluster device in real time, respectively judging whether the temperature state information and the air pressure state information are larger than a preset threshold value, and determining a judgment result; wherein the content of the first and second substances,
the judgment result comprises a first judgment result and a second judgment result;
the threshold values include a temperature threshold value and a pressure threshold value.
The working principle of the technical scheme is as follows: the temperature state information unit is internally provided with a temperature sensor, the temperature sensor is arranged at a preset place to monitor the temperature value of the battery pack in real time and acquire the data information of the temperature value, the current temperature state of the battery pack is determined according to the acquired temperature value, the air pressure sensor is similarly arranged at a preset position in the air pressure state information unit to monitor the pressure state of the battery pack in real time, when the pressure is too high, the battery can stop running or burst, which relates to the condition of safe use, the air pressure sensor detects the air pressure value and acquires the state data of the air pressure at the same time to determine the good air pressure state information; the judging unit is used for testing the states of the two parts after obtaining the temperature state information and the air pressure state information, judging whether the states are in a preset safety range or not, and judging a state result, wherein the judging result comprises a first judging result and a second judging result;
the beneficial effects of the above technical scheme are: through arranging thermodetector and atmospheric pressure detector for the testing result is more accurate, through the judgement unit that sets up, has improved the security that the group battery used greatly and has detected the instantaneity to the group battery safe condition.
Example 4:
this technical scheme provides an embodiment, single chip microcomputer equipment includes:
a temperature processor: the temperature state information is compared with a preset temperature threshold value based on a preset time range, whether the temperature state information is larger than the preset temperature threshold value or not is judged, and a first judgment result is determined;
an air pressure processor: and the second transmission unit is used for comparing the air pressure state information with a preset air pressure threshold value based on a preset time range, judging whether a second transmission result is greater than the preset air pressure threshold value or not and determining a second judgment result.
The working principle of the technical scheme is as follows: the judging unit is very important in the monitoring management module, wherein the first transmission subunit can transmit the state information of the temperature to the temperature judging subunit, and after the temperature judging subunit receives the temperature information, the temperature judging subunit judges whether the transmitted value is greater than a preset temperature threshold value or not by comparing the temperature information with a preset safety range value to obtain a first transmission result; meanwhile, the second transmission subunit transmits the air pressure state information of the battery pack to the air pressure judgment subunit, the air pressure judgment subunit judges according to a preset actual range and a value corresponding to the time, and judges whether the second transmission result is greater than a preset air pressure threshold value or not, so that a judgment result is determined;
the beneficial effects of the above technical scheme are: the first transmission subunit and the second transmission subunit are definite in division and respectively transmit the temperature information and the air pressure information, so that the error rate of information transmission in the operation process is reduced, and the transmission efficiency is improved; the temperature judgment subunit and the air pressure judgment subunit improve the accuracy of results, and safety protection detection of the battery is facilitated.
Example 5:
the technical solution provides an embodiment, where the prediction management module includes:
physical environment parameter detection equipment: the system comprises a battery pack cluster device, a control device and a control module, wherein the battery pack cluster device is used for acquiring physical environment parameters of the battery pack cluster device under normal state information;
an information data acquisition unit: the information data of the battery pack cluster device under the normal state information is acquired;
big data service equipment: the system comprises a data acquisition module, a data transmission module and a data transmission module, wherein the data acquisition module is used for acquiring simulation data, training information data of the battery pack cluster device under normal state information through the simulation data, predicting the battery pack cluster device under the normal state information and determining a prediction result; wherein the content of the first and second substances,
the physical environment parameters comprise environment temperature, environment humidity, environment pH value and environment air pressure value;
a display device: and the prediction report generation module is used for generating a prediction report by utilizing the prediction result and transmitting the prediction report to the display equipment of the handheld terminal of the user.
The working principle of the technical scheme is as follows: the learning data unit can acquire physical parameters of the battery pack in a normal state, store the physical parameters, and transmit the physical parameters to a preset deep learning neural network for training to acquire learning data; the prediction unit trains the battery packs in normal states according to the obtained learning data, predicts the battery packs in normal states and finally determines the estimated data; the curve drawing unit is used for simulating the state information trend of the battery pack according to the estimated data, drawing a predicted simulated state curve of the battery pack, reading the curve data by the predicted result unit, determining key information points in the reading process, generating a final predicted result according to the key information points, and generating a predicted report according to the predicted result by the transmission unit in the curve drawing unit and transmitting the predicted report to the control end;
the beneficial effects of the above technical scheme are: the prediction unit predicts by using the collected normal state data, so that the accuracy of the predicted data is improved; the drawn curve unit enables the state information to be displayed more clearly, display and management are facilitated, and the transmission unit improves the operation efficiency.
Example 6:
as shown in fig. 3, the present technical solution provides an embodiment, where the big data service device includes:
a behavior data generator: the simulation data is used for training the information data of the battery pack cluster device under the normal state information to generate behavior data of the battery pack cluster device;
the estimated data generator: the battery pack clustering device under the normal state information is predicted through behavior data and a preset Bayesian probability algorithm, and predicted data are determined;
a curve processor: the system is used for simulating the state information trend of the battery pack according to the estimated data and drawing a predicted simulation state curve of the battery pack;
the prediction report generator: the system comprises a prediction simulation state curve generation module, a prediction report generation module and a user handheld terminal, wherein the prediction simulation state curve generation module is used for reading a prediction simulation state curve, determining key information points, generating a prediction result according to the key information points, generating a prediction report according to the prediction result and transmitting the prediction report to the user handheld terminal.
The working principle of the technical scheme is as follows: in the positioning management module, a candidate cluster unit is used for carrying out first-step positioning on the battery pack with abnormal state information to determine a candidate cluster, in the second step, the candidate cluster needs to be checked, then the battery pack is accurately positioned to determine the current position information of the abnormal battery pack, and in the last step, the abnormal state information of the abnormal battery pack is collected through an abnormal result unit according to the position information, and an abnormal result is determined according to the abnormal state information;
the beneficial effects of the above technical scheme are: the candidate cluster unit improves the fault-tolerant rate, lays a foundation for the second positioning, and the accurate positioning of the second step directly positions the abnormal battery pack position, thereby improving the monitoring of the battery safety and the safety of the battery operation.
Example 7:
this technical solution provides an embodiment, the positioning management module includes:
the initial positioning device: when abnormal state information occurs in the battery pack cluster device, initially positioning the battery pack with the abnormal state information according to a formula (1) to determine a candidate cluster;
wherein the content of the first and second substances,
represents the initial positioning result of the abnormal state battery pack,
represents a loss rate of the position data of the battery pack,
，
represents the total number of the battery packs,
which is representative of the current of the battery pack,
representing the maximum current supplied by the battery pack cluster apparatus,
representing a look-up function for battery pack position data,
represents the first
A position data lookup function for the battery pack,
represents the ratio of location finding failure samples;
accurate positioner: the battery pack positioning system is used for checking the candidate cluster, accurately positioning the battery pack and determining the position information of the abnormal battery pack;
an abnormal state information collector: the abnormal battery pack management system is used for acquiring abnormal state information of the abnormal battery pack according to the position information;
the microprocessor: and the abnormal battery pack is used for determining an abnormal result according to the position information and the abnormal state information of the abnormal battery pack.
The working principle of the technical scheme is as follows: in the positioning management module, a candidate cluster unit performs first-step positioning on a battery pack with abnormal state information, when the battery pack cluster device has the abnormal state information, the battery pack with the abnormal state information is initially positioned according to a formula (1), an initial positioning result of the battery pack with the abnormal state is determined, and the initial positioning result is collected through screening of preset conditions, for example, the battery pack at a certain position is not abnormal due to special setting, so that a candidate cluster is determined; secondly, checking the candidate cluster, then accurately positioning the battery pack, determining the current position information of the abnormal battery pack, and finally, acquiring abnormal state information of the abnormal battery pack through an abnormal result unit according to the position information and determining an abnormal result according to the abnormal state information;
the beneficial effects of the above technical scheme are: the candidate cluster unit improves the fault-tolerant rate, lays a foundation for the second positioning, and the accurate positioning of the second step directly positions the abnormal battery pack position, thereby improving the monitoring of the battery safety and the safety of the battery operation.
Example 8:
this technical scheme provides an embodiment, the control end includes:
connecting a data line: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module, the prediction management module and the positioning management module are used for being physically connected and sending corresponding control commands to the monitoring management module, the prediction management module and the positioning management module;
a receiver: the system is used for receiving the prediction result fed back by the prediction management module and the abnormal result fed back by the positioning management module;
a processing simulator: the system comprises a big data service device, a prediction result, a deduction result determination module, a big data processing center and a big data processing module, wherein the big data processing center is used for performing data deduction on the basis of the big data processing center preset in the big data service device, determining the deduction result and calling a prevention scheme of the big data center according to the deduction result;
a storage processing chip: the system comprises a big data center, a user handheld terminal, a data analysis module, a characteristic mining module, a data analysis module and a characteristic mining module, wherein the big data center is used for analyzing data and mining characteristics of abnormal results based on a preset big data center to generate an abnormal characteristic report, tracing historical scheme data in a scheme database preset by the big data center according to the abnormal characteristic report, determining a solution and transmitting the solution to the user handheld terminal; wherein the content of the first and second substances,
the solution comprises an abnormal information report and a maintenance suggestion;
a power supply control valve: the battery pack cluster device is used for controlling the power supply of the battery pack cluster device; wherein the content of the first and second substances,
the power control comprises power cut-off, charging, discharging and pressure relief.
The working principle of the technical scheme is as follows:
the connection unit is responsible for connecting the monitoring management module, the prediction management module and the positioning management module, then the control unit is responsible for sending corresponding control commands to the three modules, the receiving end element receives the prediction result fed back by the prediction management module and the abnormal result fed back by the positioning management module, meanwhile, the prevention scheme unit is used for analyzing and mining the prediction result, determining the battery pack information, the battery pack information is transmitted to the power supply control unit, the battery pack information comprises key information of battery pack discharge information, battery pack temperature information and battery pack air pressure information, the solution unit can be used for determining fluctuation reasons of abnormal results, then an optimal solution is determined according to previous historical data, the solution is sent to the user handheld terminal, and the solutions comprise abnormal information reports and maintenance suggestions; the battery control unit is used for controlling the power supply of the battery pack cluster device, cutting off the power supply, charging and discharging and releasing the pressure of the battery pack cluster device;
the beneficial effects of the above technical scheme are: the operation efficiency of the management system is improved, and the safety of the battery pack cluster is enhanced.
Example 9:
the technical solution provides an embodiment, where the storage processing chip includes:
a pretreatment subunit: the system is used for carrying out data analysis and feature mining on the abnormal result based on a preset big data processing center to determine a preprocessing result;
an anomaly characteristic reporting subunit: generating an abnormal feature report according to the generated preprocessing result;
tracing the subunit: the system comprises an abnormal characteristic report, a historical scheme database and a historical abnormal characteristic report, wherein the abnormal characteristic report is used for tracing the historical scheme in the scheme database preset by the big data center, determining the historical abnormal characteristic report of the historical scheme, and calculating the characteristic difference between the abnormal characteristic report and the historical abnormal characteristic report;
solution subunit: the method is used for acquiring a historical scheme corresponding to the minimum feature difference degree, determining a solution and transmitting the solution to the user handheld terminal.
The working principle and the beneficial effects of the technical scheme are as follows:
the storage processing chip of the technical scheme comprises a preprocessing subunit: the system is used for carrying out data analysis and feature mining on the abnormal result based on a preset big data processing center to determine a preprocessing result; an anomaly characteristic reporting subunit: generating an abnormal feature report according to the generated preprocessing result; tracing the subunit: the system is used for tracing historical scheme data in a scheme database preset by a big data center according to the abnormal feature report and calculating the feature difference degree; solution subunit: the method is used for acquiring historical scheme data with the minimum feature difference degree, determining a solution and transmitting the solution to the user handheld terminal.
Example 10:
this technical scheme provides an embodiment, power control valve includes:
a logic gate circuit: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module is used for receiving battery pack state information fed back by the monitoring management module, the prediction management module and the positioning management module, performing logic judgment according to the state information and determining a logic judgment result; wherein the content of the first and second substances,
the logic judgment is carried out by more than two logic gates consisting of 1 and 0;
a control valve: the logic control module is used for carrying out corresponding logic control according to a logic judgment result; wherein the content of the first and second substances,
when the power supply control unit receives the condition that the logic gate is not, the power supply is cut off;
when the power supply control unit receives the condition that the logic gate is yes, the power supply is charged;
discharging the battery pack when the battery pack is determined to be abnormal;
when the air pressure sensor acquires that the air pressure exceeds a preset air pressure threshold value, air pressure relief is carried out based on a preset pressure relief valve in the battery pack clustering device.
The working principle and the beneficial effects of the technical scheme are as follows:
a logic gate circuit: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module is used for receiving battery pack state information fed back by the monitoring management module, the prediction management module and the positioning management module, performing logic judgment according to the state information and determining a logic judgment result; wherein, the logic judgment is carried out by more than two bits of logic gates consisting of 1 and 0; a control valve: the logic control module is used for carrying out corresponding logic control according to a logic judgment result; when the power supply control unit receives the condition that the logic gate is not, the power supply is cut off; when the power supply control unit receives the condition that the logic gate is yes, the power supply is charged; discharging the battery pack when the battery pack is determined to be abnormal; when the air pressure sensor acquires that the air pressure exceeds a preset air pressure threshold value, air pressure relief is carried out based on a preset pressure relief valve in the battery pack cluster device, the risk of battery explosion or fire hazard is avoided through timely inspection of the circuit, and a user is timely notified.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An intelligent management system for a battery pack cluster, comprising:
battery package cluster device: the method comprises the steps of clustering a battery pack according to a preset topological structure based on the topological structure;
a monitoring management module: the system comprises a battery pack clustering device, a monitoring module and a control module, wherein the battery pack clustering device is used for monitoring the state of the battery pack clustering device in real time, determining the state information of the battery pack clustering device, judging the state information of the battery pack clustering device and determining a judgment result; wherein the content of the first and second substances,
the state information comprises temperature state information and air pressure state information;
a prediction management module: the battery pack cluster device state prediction method comprises the steps of storing normal state information of the battery pack cluster device when the judgment result is that the battery pack cluster device displays the normal state information, predicting the state of the battery pack cluster device based on a preset deep learning neural network, and generating a prediction result;
a positioning management module: the battery pack positioning device is used for positioning the battery pack with abnormal state information when the judgment result shows that the battery pack clustering device displays the abnormal state information, acquiring the position information of the abnormal battery pack and determining the abnormal result;
a control end: the protection device is used for receiving the prediction result and the abnormal result and generating a corresponding protection scheme based on a preset logic scheme; wherein the content of the first and second substances,
the protection scheme comprises a prevention scheme and a solution scheme;
the battery pack cluster device comprises daisy chain link circuit equipment, cluster assembly equipment and a battery pack; wherein the content of the first and second substances,
the daisy chain wiring device is used for installing cluster assembling equipment by utilizing a daisy chain;
the cluster assembly equipment is used for assembling the battery pack cluster.
2. The intelligent management system for battery pack clusters according to claim 1, wherein the monitoring management module comprises:
temperature sensor device: the system comprises a battery pack cluster device, a temperature monitoring module and a temperature monitoring module, wherein the battery pack cluster device is used for monitoring and acquiring temperature state data of the battery pack cluster device in real time and generating temperature state information of the battery pack cluster device according to the temperature state data;
an air pressure sensor device: the system comprises a pressure sensor, a battery pack cluster device and a controller, wherein the pressure sensor is used for monitoring and acquiring pressure state data of the battery pack cluster device in real time and generating air pressure state information of the battery pack cluster device according to the air pressure state data;
single chip microcomputer equipment: the battery pack cluster device is used for receiving temperature state information and air pressure state information of the battery pack cluster device in real time, respectively judging whether the temperature state information and the air pressure state information are larger than a preset threshold value, and determining a judgment result; wherein the content of the first and second substances,
the judgment result comprises a first judgment result and a second judgment result.
3. The intelligent management system for battery pack clusters according to claim 2, wherein the single chip device comprises:
a temperature processor: the temperature state information is compared with a preset temperature threshold value based on a preset time range, whether the temperature state information is larger than the preset temperature threshold value or not is judged, and a first judgment result is determined;
an air pressure processor: and the second judgment module is used for comparing the air pressure state information with a preset air pressure threshold value based on a preset time range, judging whether the air pressure state information is greater than the preset air pressure threshold value or not and determining a second judgment result.
4. The intelligent management system for a battery pack cluster according to claim 1, wherein the prediction management module comprises:
physical environment parameter detection equipment: the system comprises a battery pack cluster device, a control device and a control module, wherein the battery pack cluster device is used for acquiring physical environment parameters of the battery pack cluster device under normal state information;
an information data acquisition unit: the information data of the battery pack cluster device under the normal state information is acquired;
big data service equipment: the system comprises a data acquisition module, a data transmission module and a data transmission module, wherein the data acquisition module is used for acquiring simulation data, training information data of the battery pack cluster device under normal state information through the simulation data, predicting the battery pack cluster device under the normal state information and determining a prediction result; wherein the content of the first and second substances,
the physical environment parameters comprise environment temperature, environment humidity, environment pH value and environment air pressure value;
a display device: and the prediction report generation module is used for generating a prediction report by utilizing the prediction result and transmitting the prediction report to the display equipment of the handheld terminal of the user.
5. The intelligent management system for battery pack clusters according to claim 4, wherein the big data service device comprises:
a behavior data generator: the simulation data is used for training the information data of the battery pack cluster device under the normal state information to generate behavior data of the battery pack cluster device;
the estimated data generator: the battery pack clustering device under the normal state information is predicted through behavior data and a preset Bayesian probability algorithm, and predicted data are determined;
a curve processor: the system is used for simulating the state information trend of the battery pack according to the estimated data and drawing a predicted simulation state curve of the battery pack;
the prediction report generator: the system comprises a prediction simulation state curve generation module, a prediction report generation module and a user handheld terminal, wherein the prediction simulation state curve generation module is used for reading a prediction simulation state curve, determining key information points, generating a prediction result according to the key information points, generating a prediction report according to the prediction result and transmitting the prediction report to the user handheld terminal.
6. The intelligent management system for battery pack clusters according to claim 1, wherein the location management module comprises:
the initial positioning device: when abnormal state information occurs in the battery pack clustering device, initially positioning the battery pack with the abnormal state information, and determining a candidate cluster;
accurate positioner: the battery pack positioning system is used for checking the candidate cluster, accurately positioning the battery pack and determining the position information of the abnormal battery pack;
an abnormal state information collector: the abnormal battery pack management system is used for acquiring abnormal state information of the abnormal battery pack according to the position information;
the microprocessor: and the abnormal battery pack is used for determining an abnormal result according to the position information and the abnormal state information of the abnormal battery pack.
7. The intelligent management system for battery pack clusters according to claim 1, wherein the control terminal comprises:
connecting a data line: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module, the prediction management module and the positioning management module are used for being physically connected and sending corresponding control commands to the monitoring management module, the prediction management module and the positioning management module;
a receiver: the system is used for receiving the prediction result fed back by the prediction management module and the abnormal result fed back by the positioning management module;
a processing simulator: the system comprises a big data service device, a prediction result, a deduction result determination module, a big data processing center and a big data processing module, wherein the big data processing center is used for performing data deduction on the basis of a big data processing center preset in the big data service device, determining the deduction result and calling a prevention scheme of the big data processing center according to the deduction result;
a storage processing chip: the system comprises a big data processing center, a user handheld terminal and a database, wherein the big data processing center is used for analyzing data and mining characteristics of an abnormal result based on a preset big data processing center to generate an abnormal characteristic report, tracing historical scheme data in a scheme database preset by the big data processing center according to the abnormal characteristic report, determining a solution and transmitting the solution to the user handheld terminal; wherein the content of the first and second substances,
the solution comprises an abnormal information report and a maintenance suggestion;
a power supply control valve: the battery pack cluster device is used for controlling the power supply of the battery pack cluster device; wherein the content of the first and second substances,
the power control comprises power cut-off, charging, discharging and pressure relief.
8. The intelligent management system for battery pack clusters according to claim 7, wherein the storage processing chip comprises:
a pretreatment unit: the system is used for carrying out data analysis and feature mining on the abnormal result based on a preset big data processing center to determine a preprocessing result;
an abnormality characteristic reporting unit: the system is used for generating an abnormal characteristic report according to the preprocessing result;
a storage unit: the system is used for tracing historical scheme data in a scheme database preset by a big data processing center according to the abnormal feature report and calculating the feature difference degree;
solution subunit: the method is used for acquiring historical scheme data with the minimum feature difference degree, determining a solution and transmitting the solution to the user handheld terminal.
9. The intelligent management system for a battery pack cluster as claimed in claim 7, wherein the power control valve comprises:
a logic gate circuit: the system comprises a monitoring management module, a prediction management module and a positioning management module, wherein the monitoring management module is used for receiving battery pack state information fed back by the monitoring management module, the prediction management module and the positioning management module, performing logic judgment according to the state information and determining a logic judgment result; wherein the content of the first and second substances,
the logic judgment is carried out by more than two logic gates consisting of 1 and 0;
a control valve: the logic control module is used for carrying out corresponding logic control according to a logic judgment result; wherein the content of the first and second substances,
when the power supply control unit receives the condition that the logic gate is not, the power supply is cut off;
when the power supply control unit receives the condition that the logic gate is yes, the power supply is charged;
discharging the battery pack when the battery pack is determined to be abnormal;
when the air pressure sensor acquires that the air pressure exceeds a preset air pressure threshold value, air pressure relief is carried out based on a preset pressure relief valve in the battery pack clustering device.
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