CN117665621A - Full life cycle on-line measuring system of storage battery - Google Patents
Full life cycle on-line measuring system of storage battery Download PDFInfo
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Abstract
The invention discloses a full life cycle online detection system of a storage battery pack, and relates to the technical field of storage battery monitoring. The system comprises battery detection equipment, a data acquisition module, a historical data service cluster and a battery maintenance strategy module; the battery detection equipment comprises a battery SOC charge detection module and a battery SOH health detection module; the data acquisition module comprises charge and discharge equipment arranged in the charging station and a mobile vehicle terminal arranged in the vehicle; the historical data server cluster comprises charging historical data, discharging historical data and maintenance historical data; the battery maintenance policy module includes a database, an inference engine, and an interpreter. The invention manages the whole life cycle of the battery, designs the design thought, the system structure and the system function of the battery whole life cycle on-line detection management system, improves the service efficiency and the use safety of the battery, prolongs the service life of the battery and reduces the operation cost.
Description
Technical Field
The invention belongs to the technical field of storage battery monitoring, and particularly relates to a full life cycle online detection system of a storage battery pack.
Background
The power system and the equipment are heart and blood of the communication system, the storage battery is the last defense line of the power system, and when the power system is powered off, the storage battery is completely relied on to discharge so as to ensure the normal operation of the communication system; with the advent of the internet era, the guarantee function of the storage battery pack is particularly prominent and important, and the storage battery pack has wide application in group clients and various industries such as communication, electric power, army, railway, bank, government and the like. However, the quality of the domestic storage battery is greatly reduced due to the large difference between the monomers of the domestic storage battery, the expected effect is difficult to achieve, the product quality of the storage battery is further reduced after collection, when the storage battery is discharged, explosion sometimes happens, the storage battery with the normal service life of 8 years is always scrapped only for 3-5 years, huge waste and environmental destruction are caused, and especially, the quality of the storage battery of the high-end large systems of a large-scale junction building and an IDC machine room can be deadly hazard and huge loss, such as a new airport building in a line city in 2015, all business hall systems with the largest communication service cannot work normally due to the fact that the storage battery cannot be discharged, and moreover, accidents of fire disaster caused by the damage of the storage battery are frequent, so that the storage battery is monitored on line to ensure that the storage battery is always in a normal good state.
Since 2000, devices such as a battery detector are adopted in each place to detect the battery state, a person is specially dispatched to test each time, each battery detector needs to be connected to the detector, the workload is high, the cost is high, time and labor are wasted, accidents of damage to the battery and damage to instruments and meters are caused due to incorrect arrangement of wrong connection lines in the wiring and testing processes, the meters are relatively expensive, 5-6 ten thousand yuan is moved, one or two meters can be configured in local market division companies in great communication province generally, therefore, the method for testing the battery by using the battery tester is not high in popularization rate, in small communication province, battery capacity testing and monitoring work are not basically realized, the labor cost is high and low in efficiency, and professionals for maintaining a battlefield are less and less, even in county division companies in many provinces, the power professionals are not configured, and the method is basically comprehensive maintenance, and the discharging test work of the battery is basically similar to that of a dummy.
In many provinces, the operation condition of the storage battery is monitored mainly by manual and instrument discharge, if no call is put out, the operation condition is taken as a basis for judging whether the storage battery is good or bad, and huge hidden danger of communication faults exists for guaranteeing the power utilization of communication equipment; in addition, even if a group of storage batteries cannot put out an incoming call, only 1-3 extremely individual storage batteries cannot put out an incoming call, but the whole group of 24 storage batteries is scrapped, but if a storage battery monitoring system monitors the discharge of the storage batteries at any time, the extremely individual storage batteries with poor performance can be found, only the storage batteries with poor performance of 1-3 sections are needed to be replaced, the whole group of storage batteries can still be used continuously, and the operation cost of a communication system is also greatly saved.
Disclosure of Invention
The invention aims to provide a full life cycle on-line detection system of a storage battery pack, which is used for managing the full life cycle of a battery and designing the design thought, the system structure and the system function of the full life cycle on-line detection management system of the battery, so that the problems of high cost and low efficiency of monitoring the running condition of the storage battery by using the existing manual and instrument are solved.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a full life cycle online detection system of a storage battery pack, which comprises battery detection equipment, a data acquisition module, a historical data service cluster and a battery maintenance strategy module; the battery detection equipment comprises a battery SOC charge detection module and a battery SOH health detection module; the battery SOC charge detection module is used for estimating the charge state of the current power battery; the battery SOH health detection module is used for evaluating the current condition of the power battery; the data acquisition module comprises charging and discharging equipment arranged in the charging station and a mobile vehicle terminal arranged in the vehicle; the charging and discharging equipment is used for performing charging and discharging operations on the battery; the historical data server cluster comprises charging historical data, discharging historical data and maintenance historical data; the battery maintenance strategy module comprises a database, an inference engine and an interpreter; the database is used for recording the capacity, terminal voltage, single-body pressure difference, energy and energy ratio of the battery in the use process of the battery; the inference engine is used for collecting and monitoring a power battery database in real time in the use process of the battery; the interpreter is used for directly analyzing the program line by line and executing corresponding actions.
As a preferable technical scheme, the battery SOC charge detection module detects the state of charge of the battery by adopting an open circuit voltage method, and the specific detection method is as follows: and after the battery stands for a long time, measuring the open-circuit voltage at two ends of the battery, and calculating the charge state of the battery by utilizing the function relation existing between the open-circuit voltage and the charge of the battery according to the OCV-SOC curve.
As a preferable technical solution, the functional relation calculation formula is:
Q(I n )＝t∫I n dt；
wherein Qm is the maximum discharge capacity of the battery when discharging according to constant current I; q (In) is the amount of power released by the battery at a standard discharge current I during time t.
As a preferable technical solution, the battery SOH health detection module detects an increase in internal resistance or a decrease in power of the battery, and the specific calculation formula is as follows:
wherein R is EOL R is the internal resistance of the battery at the end of the service life of the battery BOL The internal resistance is the internal resistance when the battery leaves the factory, and R is the internal resistance of the battery in the current state.
As a preferable technical scheme, a battery intelligent tag and a total current and total voltage intelligent tag are stuck on the charging and discharging equipment; the battery intelligent tag is connected with two electrodes of the charging and discharging equipment through leads; the total current and total voltage intelligent tag is connected with the output end of the charging and discharging equipment through a direct current mutual inductor; the battery intelligent label is stuck on the surface of the charging and discharging equipment; and the total current and total voltage intelligent label is stuck on the surface of the shell of the charging and discharging equipment.
As a preferable technical scheme, when the battery is generated, the read-write equipment scans the battery intelligent tag and the total current and total voltage intelligent tag on the charge-discharge equipment respectively; and the read-write equipment writes the factory time of the battery pack into the total current and total voltage intelligent tag, and the name of the battery pack manufacturer and the unique corresponding battery pack identification number.
As an preferable technical scheme, the mobile vehicle terminal obtains the battery operation parameter data of the total current total voltage intelligent tag and the corresponding battery intelligent tag by the data collector through connecting the data collector: the method comprises discharging use process data of voltage and current of the storage battery pack and discharging use process data of voltage, current and temperature of the single storage battery.
As a preferable technical scheme, the database is used for recording charging data, discharging data and maintenance data of the battery in the daily use process; the database screens and filters data during recording, sets a parameter threshold according to nominal parameters, eliminates discrete points outside the threshold, supplements the condition that adjacent data have fluctuation by adopting an interpolation method, and forms a characteristic curve database conforming to normal distribution.
As a preferable technical scheme, the inference engine performs normalization processing on the collected data, trains the battery full-period nervous system by using normalized sample data, and trains a convergence function according to a data model in the earlier stage; and the inference engine acquires all parameters of the battery in real time to input a data model, and judges SOH of the current battery.
The invention has the following beneficial effects:
the invention manages the whole life cycle of the battery, designs the design thought, the system structure and the system function of the battery whole life cycle on-line detection management system, improves the service efficiency and the use safety of the battery, prolongs the service life of the battery and reduces the operation cost.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a full life cycle on-line detection system of a storage battery according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to fig. 1.
Before describing the embodiment of the application, a related description is first made on online detection of the storage battery.
The State of Charge, mainly refers to the State of Charge of a battery, and the most widely adopted explanation is "the ratio of the remaining capacity of a battery to the rated capacity under the same condition at a certain discharge rate" (the definition of SOC by the united states advanced battery association (USABC)). The corresponding calculation formula is as follows:
Q(I n )＝t∫I n dt
wherein Qm is the maximum discharge capacity of the battery when discharging according to constant current I; q (In) is the amount of power released by the battery at a standard discharge current I during time t.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to fig. 1. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Referring to fig. 1, the invention is a full life cycle online detection system of a storage battery pack, comprising a battery detection device, a data acquisition module, a historical data service cluster and a battery maintenance strategy module; the battery detection equipment comprises a battery SOC charge detection module and a battery SOH health detection module; the battery SOC charge detection module is used for estimating the charge state of the current power battery; the battery SOH health detection module is used for evaluating the current condition of the power battery; the data acquisition module comprises charge and discharge equipment arranged in the charging station and a mobile vehicle terminal arranged in the vehicle; the charging and discharging equipment is used for performing charging and discharging operations on the battery; the historical data server cluster comprises charging historical data, discharging historical data and maintenance historical data; the battery maintenance strategy module comprises a database, an inference engine and an interpreter; the database is used for recording the capacity, terminal voltage, single pressure difference, energy and energy ratio of the battery in the use process of the battery; the inference engine is used for collecting and monitoring the power battery database in real time in the use process of the battery; the interpreter is used for directly parsing the program row by row and executing corresponding actions.
Because the uncertainty of the physical and chemical characteristics of the power battery along with the change of a specific use environment in the use process does not exist at present, an expert feature library capable of accurately estimating the characteristic parameters of the power battery, the construction method takes probability as a guiding idea, the estimation accuracy is improved as much as possible, and the specific construction mode is as follows:
data definition: battery capacity, terminal voltage, cell pressure differential, energy ratio, etc. during use of the power battery. And detecting the health degree of the battery, namely detecting the voltage difference of the single cells in the battery, and the ratio of the battery capacity to the battery energy, the ratio of the voltage change rate of the battery terminal to the battery charging time.
Data recording: the power battery consists of charge, discharge and maintenance in the daily use process, and the power battery electrical characteristic quantity expert database is based on data definition and records relevant data in the use process of the power battery; for example, during the charging process of the battery, the charging voltage difference, the charging electric quantity, the charging duration and the like are recorded.
Database formation: screening and filtering based on recorded data, setting a threshold value by using nominal parameters as a basis, removing discrete data points outside the threshold value by using experience parameters, and supplementing an acquisition interpolation method under the condition that adjacent data have larger fluctuation, so as to form a characteristic curve database conforming to normal distribution.
The inference engine is applied, the power battery 'data' can be collected and monitored in real time in the whole process of using the power battery, the system can compare the obtained data with the data in the database, the current state of the battery is deduced by using the data design logic, and the power battery evaluation result is formed, and the inference engine comprises the following steps: complete charge-discharge curve calculation, battery internal resistance calculation, battery conductance calculation, balance calculation, electric quantity calculation, battery discharge capacity estimation, battery life estimation and the like.
In the example application, taking the battery charging process as an example, the system automatically matches a battery characteristic data database according to the current battery type, automatically compares historical data with adjacent historical data according to real-time detection data, takes data design as an evaluation detection principle, synthesizes a plurality of methods in the actual application process to carry out test, uses a weighting method to carry out balanced calculation, thereby improving the evaluation test result as much as possible, and simultaneously, the detection result is manually modified, thereby directly influencing the evaluation result, forming data by the evaluation result, and updating the data into the database.
The battery SOC charge detection module detects the charge state of the battery by adopting an open circuit voltage method, and the specific detection method is as follows: and after the battery stands for a long time, measuring the open-circuit voltage at two ends of the battery, and calculating the charge state of the battery by utilizing the function relation existing between the open-circuit voltage and the charge of the battery according to the OCV-SOC curve.
The function relation calculation formula is as follows:
Q(I n )＝t∫I n dt；
wherein Qm is the maximum discharge capacity of the battery when discharging according to constant current I; q (In) is the amount of power released by the battery at a standard discharge current I during time t.
The battery SOH health detection module detects the increase of the internal resistance of the battery or the decay of the power, and a specific calculation formula is as follows:
wherein R is EOL R is the internal resistance of the battery at the end of the service life of the battery BOL The internal resistance is the internal resistance when the battery leaves the factory, and R is the internal resistance of the battery in the current state.
A battery intelligent tag and a total current and total voltage intelligent tag are stuck on the charging and discharging equipment; the battery intelligent tag is connected with two electrodes of the charging and discharging equipment through leads; the total current and total voltage intelligent tag is connected with the output end of the charging and discharging equipment through a direct current mutual inductor; the battery intelligent label is stuck on the surface of the charging and discharging equipment; the total current and total voltage intelligent label is stuck on the surface of the shell of the charging and discharging equipment.
When the battery is generated, the read-write equipment scans the battery intelligent tag and the total current and total voltage intelligent tag on the charge-discharge equipment respectively; the read-write equipment writes the factory time of the battery pack into the total current and total voltage intelligent tag, the name of the battery pack manufacturer and the unique corresponding battery pack identification number.
The mobile vehicle terminal is connected with the data acquisition device, and the data acquisition device acquires the total current and total voltage intelligent tag and the battery operation parameter data of the corresponding battery intelligent tag: the method comprises discharging use process data of voltage and current of the storage battery pack and discharging use process data of voltage, current and temperature of the single storage battery.
The database is used for recording charging data, discharging data and maintenance data of the battery in the daily use process; the database screens and filters the data when recording, sets a parameter threshold according to the nominal parameter, eliminates discrete points outside the threshold, supplements the condition that adjacent data have fluctuation by adopting an interpolation method, and forms a characteristic curve database conforming to normal distribution.
The inference engine performs normalization processing on the collected data, trains the battery full-period nervous system by using the normalized sample data, and trains a convergence function according to a data model in the earlier stage; the inference engine acquires all parameters of the battery in real time to input a data model, and judges SOH of the current battery. And sending a replacement instruction to the single storage battery reaching the replacement condition or the battery pack reaching the service life, sending an equalization instruction to the storage battery pack reaching the requirement of equalization, distributing the instruction to a maintenance mobile phone end, and timely responding by a maintenance personnel maintaining the mobile phone end according to the corresponding instruction.
It should be noted that, in the above system embodiment, each unit included is only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
In addition, those skilled in the art will appreciate that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program to instruct related hardware, and the corresponding program may be stored in a computer readable storage medium.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The utility model provides a full life cycle on-line measuring system of storage battery, includes battery check out test set, data acquisition module, historical data service cluster and battery maintenance strategy module, its characterized in that:
the battery detection equipment comprises a battery SOC charge detection module and a battery SOH health detection module; the battery SOC charge detection module is used for estimating the charge state of the current power battery; the battery SOH health detection module is used for evaluating the current condition of the power battery;
the data acquisition module comprises charging and discharging equipment arranged in the charging station and a mobile vehicle terminal arranged in the vehicle; the charging and discharging equipment is used for performing charging and discharging operations on the battery;
the historical data server cluster comprises charging historical data, discharging historical data and maintenance historical data;
the battery maintenance strategy module comprises a database, an inference engine and an interpreter; the database is used for recording the capacity, terminal voltage, single-body pressure difference, energy and energy ratio of the battery in the use process of the battery; the inference engine is used for collecting and monitoring a power battery database in real time in the use process of the battery; the interpreter is used for directly analyzing the program line by line and executing corresponding actions.
2. The system of claim 1, wherein the battery SOC charge detection module detects the state of charge of the battery by using an open circuit voltage method, and the specific detection method is as follows: and after the battery stands for a long time, measuring the open-circuit voltage at two ends of the battery, and calculating the charge state of the battery by utilizing the function relation existing between the open-circuit voltage and the charge of the battery according to the OCV-SOC curve.
3. The battery pack full life cycle online detection system of claim 2, wherein the functional relation calculation formula is:
Q(I n )＝t∫I n dt；
wherein Qm is the maximum discharge capacity of the battery when discharging according to constant current I; q (In) is the amount of power released by the battery at a standard discharge current I during time t.
4. The system of claim 1, wherein the battery SOH health detection module detects an increase in internal resistance or a decrease in power of the battery by the following specific calculation formula:
wherein R is EOL For end of life of batteryInternal resistance of battery at the time, R BOL The internal resistance is the internal resistance when the battery leaves the factory, and R is the internal resistance of the battery in the current state.
5. The full life cycle online detection system of a storage battery pack according to claim 1, wherein a battery intelligent tag and a total current and total voltage intelligent tag are stuck on the charging and discharging equipment; the battery intelligent tag is connected with two electrodes of the charging and discharging equipment through leads; the total current and total voltage intelligent tag is connected with the output end of the charging and discharging equipment through a direct current mutual inductor; the battery intelligent label is stuck on the surface of the charging and discharging equipment; and the total current and total voltage intelligent label is stuck on the surface of the shell of the charging and discharging equipment.
6. The system of claim 1, wherein the read-write device scans the battery intelligent tag and the total current and total voltage intelligent tag on the charge-discharge device when the battery is generated; and the read-write equipment writes the factory time of the battery pack into the total current and total voltage intelligent tag, and the name of the battery pack manufacturer and the unique corresponding battery pack identification number.
7. The full life cycle online detection system of a storage battery pack according to claim 1, wherein the mobile vehicle terminal is connected with the data collector, and the data collector obtains the battery operation parameter data of the total current total voltage intelligent tag and the corresponding battery intelligent tag: the method comprises discharging use process data of voltage and current of the storage battery pack and discharging use process data of voltage, current and temperature of the single storage battery.
8. The battery pack full life cycle online detection system of claim 1, wherein the database is used for recording charging data, discharging data and maintenance data of the battery in daily use; the database screens and filters data during recording, sets a parameter threshold according to nominal parameters, eliminates discrete points outside the threshold, supplements the condition that adjacent data have fluctuation by adopting an interpolation method, and forms a characteristic curve database conforming to normal distribution.
9. The system of claim 1, wherein the inference engine normalizes the collected data, trains the battery full-cycle nervous system using normalized sample data, and trains the convergence function according to a data model of a preceding stage; and the inference engine acquires all parameters of the battery in real time to input a data model, and judges SOH of the current battery.
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