CN116774063A - Battery cell monitoring method, battery system and related device - Google Patents

Battery cell monitoring method, battery system and related device Download PDF

Info

Publication number
CN116774063A
CN116774063A CN202310731401.3A CN202310731401A CN116774063A CN 116774063 A CN116774063 A CN 116774063A CN 202310731401 A CN202310731401 A CN 202310731401A CN 116774063 A CN116774063 A CN 116774063A
Authority
CN
China
Prior art keywords
battery cell
cell
battery
parameters
hydrogen
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310731401.3A
Other languages
Chinese (zh)
Inventor
丁秀琴
卢俊生
吴磊
梅得军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Kunshan Xingxiehe Technology Co ltd
Original Assignee
Kunshan Xingxiehe Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Kunshan Xingxiehe Technology Co ltd filed Critical Kunshan Xingxiehe Technology Co ltd
Priority to CN202310731401.3A priority Critical patent/CN116774063A/en
Publication of CN116774063A publication Critical patent/CN116774063A/en
Pending legal-status Critical Current

Links

Landscapes

  • Secondary Cells (AREA)

Abstract

The application provides a cell monitoring method, a battery system and related devices, wherein the method comprises the following steps: for each cell, the following process is performed: acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters; judging whether the battery cell is in an abnormal state according to the battery cell parameter set; when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device. The application can solve the problem of untimely finding out of the abnormal state of the battery core and meet the requirement of a user on the detection timeliness of the abnormal state of the battery.

Description

Battery cell monitoring method, battery system and related device
Technical Field
The present application relates to the field of battery monitoring technology, and in particular, to a battery cell monitoring method, a battery system, a computer readable storage medium, and a computer program product.
Background
Battery monitoring technology is a technology for detecting, evaluating, and monitoring the state of a battery (i.e., a cell). It is mainly used in a battery management system (Battery Management System, BMS) to ensure safety, reliability and performance of a battery. Various sensors are arranged in the battery box to acquire various parameters of the battery box, and the parameters are transmitted to a battery management system for analysis and processing, so that the safety management of the battery box is realized. However, the existing battery monitoring technology only can acquire various parameters of a battery box, and cannot directly measure each battery core in the battery box, so that abnormal states of the battery cores cannot be determined at the first time, the problem that abnormal states of the battery cores are not found timely exists, and the requirement of a user on detection timeliness of the abnormal states of the battery cannot be met.
Based on this, the present application provides a cell monitoring method, a battery system, a computer readable storage medium and a computer program product to improve the prior art.
Disclosure of Invention
The application aims to provide a battery cell monitoring method, a battery system, a computer readable storage medium and a computer program product, which can solve the problem that abnormal states of a battery cell are not found timely and meet the requirement of a user on the detection timeliness of the abnormal states of the battery.
The application adopts the following technical scheme:
in a first aspect, the present application provides a method for monitoring a battery cell, the battery cell including at least one battery cell, a battery cell sensor disposed on each battery cell, and an electronic device including a memory and a processor, the memory storing a computer program, the processor being configured to implement the steps of the method when executing the computer program, the method comprising:
for each cell, the following process is performed:
acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
judging whether the battery cell is in an abnormal state according to the battery cell parameter set;
when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
The beneficial effect of this technical scheme lies in: the problem that abnormal states of the battery cells are not found timely can be solved, and the requirement of a user on detection timeliness of the abnormal states of the battery is met.
The battery cell sensor is arranged on each battery cell to acquire a battery cell parameter set of each battery cell in real time, wherein the battery cell parameter set comprises a battery cell temperature, a battery cell pressure, a battery cell voltage, a battery cell current, a battery fluid level parameter, a battery fluid leakage parameter, a battery fluid concentration parameter, a battery fluid leakage parameter, a battery fluid communication abnormality parameter and the like. And judging the abnormal state of each battery cell according to the battery cell parameter set. For example, by comparing with a preset safety range or fault determination standard, whether the battery cell is in an abnormal state is determined. When the battery cell is determined to be in an abnormal state, a corresponding alarm operation is triggered. These alert operations may include initiating an audible and visual alert, initiating a networking alert, sending an alert notification, making a preset emergency call, cutting power, and activating a fire extinguishing device, etc. Therefore, the abnormal condition of the battery cell can be responded quickly, appropriate measures can be taken, and the safety is ensured. On the one hand, the battery cell sensor can be arranged on the battery cells to realize direct measurement of each battery cell, so that the abnormal state of each battery cell is judged according to the parameter set of the battery cell, the abnormal condition of the battery cell can be found at the first time, and the potential safety problem is prevented. On the other hand, when the battery cell is in an abnormal state, various alarm operations such as acousto-optic alarm, networking alarm, alarm notification and the like can be triggered. Therefore, abnormal conditions can be timely perceived and handled, and safety risks are reduced.
In some alternative embodiments, a hydrogen leakage detection unit is integrated into the cell sensor;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring the hydrogen leakage parameter of the battery cell in real time by utilizing the hydrogen leakage detection unit.
The beneficial effect of this technical scheme lies in: and integrating a hydrogen leakage detection unit in the cell sensor, wherein the hydrogen leakage detection unit can sense the hydrogen leakage condition in the cell. Through the real-time supervision of hydrogen leakage detecting element, can in time acquire the hydrogen leakage parameter of electric core. The hydrogen leakage parameter can be related indexes such as hydrogen concentration, hydrogen leakage rate and the like, and is used for judging whether the abnormal situation of hydrogen leakage exists in the power core. Therefore, on one hand, the cell sensor integrated with the hydrogen leakage detection unit can detect the hydrogen leakage condition in the cell in real time. This is very important for battery systems because hydrogen leakage may raise safety risks such as explosion or fire. By detecting the hydrogen leakage parameter in time, measures can be quickly taken to prevent potential hazards. On the other hand, by acquiring the hydrogen leakage parameter of the battery cell, whether the battery cell is in an abnormal state can be more comprehensively judged. Hydrogen leakage is often one of the indicators of cell failure or damage, so detection of hydrogen leakage parameters helps to discover anomalies in the cell in time.
In summary, by integrating the hydrogen leakage detection unit in the cell sensor, the real-time monitoring of the hydrogen leakage parameter of the cell can be realized, so that the safety of the battery system is enhanced, and the abnormal situation of hydrogen leakage can be timely found and dealt with.
In some alternative embodiments, the hydrogen leakage detection unit includes a first circuit, a second circuit, and a hydrogen sensitive material disposed between the first circuit and the second circuit; the first circuit is connected with the second circuit through the hydrogen sensitive material;
the method for acquiring the hydrogen leakage parameter of the battery cell in real time by using the hydrogen leakage detection unit comprises the following steps:
receiving a communication signal generated by the hydrogen leakage detection unit; the communication signal is used for indicating whether the resistance value of the hydrogen sensitive material changes.
The beneficial effect of this technical scheme lies in: the hydrogen leakage detection unit comprises a first circuit, a second circuit and a hydrogen sensitive material, wherein the hydrogen sensitive material is arranged between the first circuit and the second circuit to serve as a bridge and is used for connecting the two circuits. When the hydrogen leakage exists in the battery cell, the hydrogen enters the hydrogen leakage detection unit and chemically reacts with the hydrogen sensitive material, so that the resistance value of the hydrogen sensitive material is changed. Specifically, when no hydrogen leaks, the first circuit and the second circuit are connected through the hydrogen sensitive material, and the resistance value of the hydrogen sensitive material is stable, so that the communication signal generated by the hydrogen leakage detection unit is stable. When hydrogen leaks, the hydrogen and the hydrogen sensitive material react chemically, so that the resistance of the hydrogen sensitive material changes, and the communication signal generated by the hydrogen leakage detection unit is influenced to change. By detecting the change of the communication signal, whether the battery cell has hydrogen leakage or not can be judged, so that the abnormal condition of the hydrogen leakage of the battery cell is indicated. On the one hand, the first circuit and the second circuit are connected by using the hydrogen sensitive material, and when hydrogen is in contact with the hydrogen sensitive material, the resistance value of the hydrogen sensitive material is changed, so that high-sensitivity detection of tiny hydrogen leakage is realized. On the other hand, by detecting the change of the communication signal, whether the hydrogen leakage exists in the power core can be accurately judged. The hydrogen sensitive material has better corrosion resistance and stability, and can ensure the reliability and long-term stability of the detection result. On the other hand, by acquiring the hydrogen leakage parameter in real time, namely detecting the change of the communication signal, the abnormal hydrogen leakage of the battery cell can be timely found, so that corresponding measures are taken to avoid potential safety risks.
In some alternative embodiments, a cell pressure detection unit is integrated into the cell sensor;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring the pressure of the battery cell in real time by using the battery cell pressure detection unit.
The beneficial effect of this technical scheme lies in: the cell pressure detection unit is integrated in the cell sensor and can sense the pressure condition of the cell. The pressure parameters of the battery cell can be timely obtained through real-time monitoring of the battery cell pressure detection unit. Therefore, whether the battery cell is in a normal working pressure range or whether the pressure abnormality exists can be judged based on the pressure parameter. On the one hand, through the electric core sensor of integrated electric core pressure detection unit, the pressure variation of electric core can be detected in real time. During operation of the cell, too high or too low a pressure may occur, which may be caused by internal problems of the cell or by changes in the external environment. The pressure of the battery cell is monitored in real time, so that the pressure abnormality can be found in time, and potential faults or safety risks can be prevented. On the other hand, pressure anomalies in the cells may lead to safety issues in the battery system. The safety state of the battery cell can be judged in time by acquiring the pressure parameter of the battery cell in real time. And the pressure of the battery cell has important influence on the performance and the service life of the battery cell. By acquiring the pressure parameters of the battery cell in real time, the battery cell can be monitored and evaluated in real time so as to optimize the operation and use condition of the battery cell. According to the change of the pressure parameter, corresponding adjustment and maintenance can be carried out so as to improve the performance of the battery cell and prolong the service life of the battery cell.
In summary, through integrating the electric core pressure detection unit in the electric core sensor, the electric core pressure can be monitored in real time, the safety of the battery system is improved, the abnormal pressure condition is found and dealt with in time, and the performance and the service life of the electric core are optimized.
In some alternative embodiments, the cell sensor has an electrolyte leakage detection unit integrated therein;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring electrolyte leakage parameters of the battery cell in real time by using the electrolyte leakage detection unit.
The beneficial effect of this technical scheme lies in: the electrolyte leakage detection unit is integrated in the battery cell sensor, and the electrolyte leakage detection unit can sense the leakage condition of the battery cell electrolyte. For example, the electrolyte leakage detection unit may employ an absorbent material or a chemical sensor, etc. technology, and can monitor the presence and leakage of the electrolyte. When electrolyte leakage occurs, the electrolyte leakage detection unit senses the presence or change of the electrolyte and generates a corresponding signal. By monitoring the signal generated by the electrolyte leakage detection unit in real time, whether the electrolyte leakage condition exists in the battery cell or not and the information such as the leakage degree and the leakage position can be judged. On the one hand, through the battery cell sensor of integrated electrolyte leakage detection unit, the electrolyte leakage condition of battery cell can be monitored in real time. Electrolyte leakage may cause safety problems of the battery system such as corrosion, short circuit, fire, or the like. By detecting electrolyte leakage parameters in real time, leakage conditions can be found timely, and potential faults or safety risks can be prevented. On the other hand, leakage of cell electrolyte can pose a threat to equipment and personnel safety. The electrolyte leakage parameters of the battery cell are obtained in real time, so that the safety state of the battery cell can be judged in time. Once the electrolyte leakage abnormality is detected, corresponding alarm operations such as an audible and visual alarm, a networking alarm and the like can be immediately triggered, and necessary measures are taken to protect the safety of personnel and equipment. On the other hand, the electrolyte is an important component of the battery, and leakage thereof may cause degradation of the battery performance and reduction of the life. By monitoring the electrolyte leakage parameters in real time, the state of the battery cell can be evaluated in time, and corresponding measures are taken for maintenance and repair so as to optimize the performance of the battery cell and prolong the service life of the battery cell.
In some alternative embodiments, the anomaly state corresponds to a plurality of anomaly levels;
the step of judging whether the battery cell is in an abnormal state according to the battery cell parameter set comprises the following steps:
inputting the cell parameter set into an anomaly detection model to obtain detection information corresponding to the cell; the detection information is used for indicating that the battery cell is in a normal state or at least one abnormal grade corresponding to the battery cell; the detection information comprises the predicted explosion time of the battery cell;
and judging whether the battery cell is in an abnormal state or not based on the detection information.
The beneficial effect of this technical scheme lies in: for the abnormal state of the battery cell, the concept of a plurality of abnormal grades is introduced. According to the cell parameter set, whether the cell is in an abnormal state or not can be judged, and the corresponding abnormal grade is determined. Specifically, by inputting the cell parameter set into the abnormality detection model for analysis and processing, detection information about the cell state can be obtained. The detection information may indicate whether the battery cell is in a normal state or indicate at least one abnormal level corresponding to when the battery cell is in an abnormal state. Wherein, the abnormality level may represent an abnormality degree or a severity degree of the battery cell. In addition, the detection information can also comprise related information such as the predicted explosion time of the battery cell. In one aspect, the introduction of multiple anomaly levels facilitates a more accurate assessment of the abnormal state of the cell. Different levels may reflect different degrees of abnormality of the cells, thereby helping to conduct targeted processing and management. Therefore, the problem of the battery cell can be identified more finely, and a corresponding solution is provided to ensure the safety and reliability of the battery system to the greatest extent. On the other hand, by detecting the predicted explosion time output by the model, the possible serious problems of the battery cell can be found in advance, and measures can be taken in time to avoid potential explosion risks. This is critical to the safety management of the battery system and can greatly reduce potential losses and hazards. On the other hand, by utilizing the cell parameter set and the abnormality detection model which are acquired in real time, the rapid judgment and processing of the cell state can be realized. The battery cell abnormality detection device is beneficial to timely taking measures when the battery cell is abnormal, and ensures the safe and stable operation of the battery system.
In some optional embodiments, when it is determined that the battery cell is in an abnormal state, triggering an alarm operation includes:
determining an alarm operation corresponding to the abnormal grade based on the abnormal grade;
the notification content of the alarm notification comprises an emergency scheme; the emergency scheme obtaining process comprises the following steps:
acquiring system information of the battery system, wherein the system information comprises configuration information and application information of the battery system;
and generating the emergency scheme based on the abnormality level and the system information.
The beneficial effect of this technical scheme lies in: when the battery cell is in an abnormal state, triggering corresponding alarm operation according to the abnormal level. The specific content of the alarm operation changes according to different abnormal grades so as to adapt to abnormal conditions of different grades. When an alarm operation is triggered, one of the important components is an alarm notification, the notification content of which includes an emergency plan. The emergency scheme is generated according to the abnormal grade and the system information and is used for guiding a user or an operator to take corresponding emergency measures in the abnormal state of the battery cell. In order to generate an emergency plan, system information of the battery system, including configuration information and application information of the battery system, needs to be acquired. The configuration information and application information may provide detailed descriptions about the characteristics and environment of the battery system in order to better evaluate the impact of abnormal situations and take appropriate emergency action. Based on the anomaly level and the system information, a corresponding emergency plan may be generated according to predefined rules and policies. The emergency plan may include information such as operating guidelines for a particular level of abnormality, safety instructions, fault handling steps, telephone numbers of contact related personnel, and the like. The generated emergency scheme can help the user to rapidly and effectively cope with abnormal conditions of the battery cell, and reduces accident risks and losses. And generating a corresponding emergency scheme by judging the abnormal grade of the power core and acquiring system information. Therefore, under the abnormal state of the battery cell, a user or an operator can timely and accurately take appropriate measures to treat the abnormal situation, and the probability of serious accidents of the battery system is reduced.
In some alternative embodiments, the method further comprises:
controlling the constant-current discharge of the battery cell under a preset discharge condition, and storing the temperature of the battery cell and the state of charge corresponding to the temperature of the battery cell in real time to obtain battery cell temperature data;
performing data processing on the battery cell temperature data to obtain characteristic data; the characteristic data comprise the temperature of the battery cell within a preset state of charge range;
acquiring a preset battery cell life prediction model;
and inputting the characteristic data into the battery cell life prediction model to obtain the state health degree of the battery cell.
The beneficial effect of this technical scheme lies in: under the preset discharging condition, constant-current discharging is carried out on the battery cell, a certain discharging load can be provided, so that the temperature of the battery cell rises in the discharging process, the battery cell temperature and the corresponding state of charge of the battery cell are recorded in real time in the discharging process, and the battery cell temperature data are obtained in a summarizing mode. And carrying out data processing on the cell temperature data recorded in real time, and extracting characteristic data. The characteristic data comprise the temperature of the battery cell in a preset state of charge range. These characteristic data reflect the temperature characteristics of the cells over a predetermined state of charge. And acquiring a preset battery cell life prediction model. And inputting the characteristic data into a battery cell life prediction model, and calculating and analyzing. And predicting and evaluating the state health of the battery core according to the characteristic data to obtain the information of the current state health of the battery core, wherein the information is used for judging whether the battery core is in a normal state or has potential health problems. On the one hand, through processing and feature extraction of the battery cell temperature data and combining with a preset battery cell life prediction model, the state health degree of the battery cell can be evaluated. The method is favorable for early finding potential problems and health degradation of the battery cell, taking measures in advance to maintain and repair, and prolonging the service life of the battery cell. On the other hand, through the battery cell life prediction model, the life of the battery cell can be predicted by combining the battery cell temperature data acquired in real time. The battery cell service life monitoring system can help a user to know the service life of the battery cell, make a more reasonable maintenance plan and a more accurate replacement strategy, and improve the reliability and economic benefit of a battery system. On the other hand, through real-time monitoring and evaluating the state health of the battery cell, the service life condition of the battery cell in a high-temperature environment can be found in time, and corresponding measures such as reducing the discharge rate, enhancing the heat dissipation and the like are taken to ensure the safety and the reliability of the battery cell.
In some alternative embodiments, the method further comprises:
acquiring charge and discharge strategy information according to the cell parameter set of each cell; the charge-discharge strategy information comprises a battery cell number and charge-discharge time;
and controlling each electric core to charge or discharge according to the charge-discharge strategy information so as to balance the electric quantity of each electric core.
The beneficial effect of this technical scheme lies in: and acquiring a battery core parameter set of the battery core in real time by using a battery core sensor, and generating charge-discharge strategy information by using an algorithm or rule according to the information of the relevant parameters of each battery core, such as the capacity of the battery core, the charge and discharge efficiency, the charge state, the temperature and the like. The goal of the charge-discharge strategy information is to balance the charge of each cell so that it remains within a suitable range. The charge-discharge strategy information can consider the factors such as the capacity, charge-discharge efficiency, charge state and the like of the battery cell, and the arrangement of charge-discharge time. And according to the generated charge-discharge strategy information, carrying out corresponding charge or discharge control on each battery cell. On the one hand, the electric quantity of each electric core can be kept balanced by implementing a charging and discharging strategy, so that the condition that the electric quantity of certain electric cores is too high or too low is avoided, and the reliability and the service life of a battery system are improved. On the other hand, by formulating a reasonable charge-discharge strategy according to the cell parameter set of each cell, the situation of each cell is comprehensively considered, so that the utilization of the battery energy can be maximized, and the overall energy density and the use efficiency of the battery system are improved. On the other hand, by balancing the electric quantity of the electric cores, the excessive charge and discharge of certain electric cores are avoided, the loss and aging speed of the electric cores can be reduced, and the whole service life is prolonged.
In a second aspect, the present application provides an electronic device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor implementing the following steps when executing the computer program:
for each cell, the following process is performed:
acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
judging whether the battery cell is in an abnormal state according to the battery cell parameter set;
when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
In some alternative embodiments, a hydrogen leakage detection unit is integrated into the cell sensor; the at least one processor, when executing the computer program, obtains the set of cell parameters of the cell in real time by using the cell sensor in the following manner:
And acquiring the hydrogen leakage parameter of the battery cell in real time by utilizing the hydrogen leakage detection unit.
In some alternative embodiments, the hydrogen leakage detection unit includes a first circuit, a second circuit, and a hydrogen sensitive material disposed between the first circuit and the second circuit; the first circuit is connected with the second circuit through the hydrogen sensitive material; and when the at least one processor executes the computer program, the hydrogen leakage detection unit is utilized to acquire the hydrogen leakage parameters of the battery cell in real time in the following mode:
receiving a communication signal generated by the hydrogen leakage detection unit; the communication signal is used for indicating whether the resistance value of the hydrogen sensitive material changes.
In some alternative embodiments, a cell pressure detection unit is integrated into the cell sensor; the at least one processor, when executing the computer program, obtains the set of cell parameters of the cell in real time by using the cell sensor in the following manner:
and acquiring the pressure of the battery cell in real time by using the battery cell pressure detection unit.
In some alternative embodiments, the cell sensor has an electrolyte leakage detection unit integrated therein; the at least one processor, when executing the computer program, obtains the set of cell parameters of the cell in real time by using the cell sensor in the following manner:
And acquiring electrolyte leakage parameters of the battery cell in real time by using the electrolyte leakage detection unit.
In some alternative embodiments, the anomaly state corresponds to a plurality of anomaly levels; when the at least one processor executes the computer program, judging whether the battery cell is in an abnormal state according to the battery cell parameter set by adopting the following modes:
inputting the cell parameter set into an anomaly detection model to obtain detection information corresponding to the cell; the detection information is used for indicating that the battery cell is in a normal state or at least one abnormal grade corresponding to the battery cell; the detection information comprises the predicted explosion time of the battery cell;
and judging whether the battery cell is in an abnormal state or not based on the detection information.
In some alternative embodiments, the at least one processor, when executing the computer program, triggers an alert operation when it is determined that the cell is in an abnormal state in the following manner:
determining an alarm operation corresponding to the abnormal grade based on the abnormal grade;
the notification content of the alarm notification comprises an emergency scheme; the emergency scheme obtaining process comprises the following steps:
Acquiring system information of the battery system, wherein the system information comprises configuration information and application information of the battery system;
and generating the emergency scheme based on the abnormality level and the system information.
In some alternative embodiments, the at least one processor, when executing the computer program, further performs the steps of:
controlling the constant-current discharge of the battery cell under a preset discharge condition, and storing the temperature of the battery cell and the state of charge corresponding to the temperature of the battery cell in real time to obtain battery cell temperature data;
performing data processing on the battery cell temperature data to obtain characteristic data; the characteristic data comprise the temperature of the battery cell within a preset state of charge range;
acquiring a preset battery cell life prediction model;
and inputting the characteristic data into the battery cell life prediction model to obtain the state health degree of the battery cell.
In a third aspect, the present application provides a battery system, the system comprising:
at least one cell, each of the cells for storing and releasing electrical energy;
the battery cell sensors are arranged on the battery cells in a one-to-one correspondence manner, and the battery cell sensors are used for acquiring a battery cell parameter set of the battery cells in real time; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
An electronic device comprising a memory storing a computer program and a processor configured to implement the steps of any of the methods described above when the computer program is executed.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by at least one processor, performs the steps of any of the methods or performs the functions of any of the electronic devices described above.
In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by at least one processor, performs the steps of the method or performs the functions of the electronic device described in any of the preceding claims.
Drawings
The application will be further described with reference to the drawings and embodiments.
Fig. 1 shows a block diagram of a battery system according to an embodiment of the present application.
Fig. 2 shows a schematic structural diagram of a hydrogen leakage detecting unit according to an embodiment of the present application.
Fig. 3 shows a schematic flow chart of a method for monitoring a battery cell according to an embodiment of the present application.
Fig. 4 is a schematic flow chart of determining an abnormal state according to an embodiment of the present application.
Fig. 5 shows a flowchart of determining state health according to an embodiment of the present application.
Fig. 6 shows a block diagram of an electronic device according to an embodiment of the present application.
Fig. 7 shows a schematic structural diagram of a program product according to an embodiment of the present application.
Detailed Description
The technical scheme of the present application will be described below with reference to the drawings and the specific embodiments of the present application, and it should be noted that, on the premise of no conflict, new embodiments may be formed by any combination of the embodiments or technical features described below.
In embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, a and b, a and c, b and c, a and b and c, wherein a, b and c can be single or multiple. It is noted that "at least one" may also be interpreted as "one (a) or more (a)".
It is also noted that, in embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any implementation or design described as "exemplary" or "e.g." in the examples of this application should not be construed as preferred or advantageous over other implementations or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The technical field and related terms of the embodiments of the present application are briefly described below.
A Cell (Battery Cell) is also called a Battery Cell. The cell is a closed container containing a positive electrode, a negative electrode and an electrolyte. Typically formed of a stack of multiple sheet electrodes and separator layers, and then tightly rolled into a cylindrical or other shape. The design and chemical composition of the cell directly affects the performance characteristics of the battery.
The positive electrode is the end with higher potential (electric potential) and is usually composed of metal oxide (such as lithium cobalt oxide, lithium iron phosphate, etc.). The positive electrode stores and releases electric energy through oxidation-reduction reaction in the charge and discharge process.
The negative electrode is the end with a lower potential (electric potential), and graphite is generally used as the main material. In the charge and discharge process of the negative electrode, the storage and release of electric energy are realized through the insertion and release of lithium ions.
The electrolyte is a medium inside the cell and serves as an ion transport medium between the positive and negative electrodes. In lithium ion batteries, common electrolytes are liquid electrolytes (e.g., organic solvents and lithium salts), whereas in solid state batteries, the electrolyte is typically a solid polymer or ceramic material.
The battery box is an integral body formed by combining a plurality of battery cells, and provides protection, connection and management functions of the battery cells. The plurality of battery cells are generally connected in parallel by a battery cell group string, which means that the plurality of battery cells are connected in a specific manner to form a series battery pack. The string may increase the voltage output, providing a higher voltage level. The parallel connection of the battery cells means that a plurality of battery packs are connected in parallel to form a battery combination. The parallel connection can increase the capacity and discharge capacity of the battery, providing longer service time.
The battery box cooling system is used for controlling the temperature of the battery cells in the battery box and preventing overheating. For high power applications or batteries requiring continuous operation over long periods of time, the battery compartment may be equipped with a cooling system, such as an air cooled fan or water cooled heat sink, etc.
Flexible printed circuits (Flexible Printed Circuit, FPCs), also known as flexible circuit boards. The flexible circuit board is a circuit board made of flexible base materials, can be folded in a meandering manner, and is suitable for electronic equipment with different shapes and space requirements. Polyimide films are commonly used as substrates on which conductive traces and other electronic components are printed. The manufacturing process of the flexible circuit board comprises the steps of pattern design, photoetching, etching, conductive copper foil covering, lamination, drilling and the like. Due to its flexible nature, the flexible circuit board can be bent, curled and folded, making it suitable for complex shape and limited space application scenarios.
The pressure release valve of the battery cell is a safety device for controlling the internal pressure of the battery cell and releasing gas or relieving the pressure when the pressure exceeds a safety range so as to avoid the damage or explosion of the battery cell. The pressure relief valve is usually a mechanical structure such as a spring, a membrane or a piston. When the internal pressure of the battery exceeds a preset threshold value, the pressure relief valve automatically opens to form a channel, and gas is allowed to be released from the inside of the battery through the pressure relief valve. Once the pressure is restored to the safe range, the pressure release valve is automatically closed to prevent foreign matters from entering the battery.
The single-cell life early warning system (Individual Battery System, IBS) is used for monitoring cell single voltage, temperature, internal resistance, SOC, SOH and leakage current information in real time through integration and data acquisition of a cell CCS (Cell Characterization System), has high-speed communication and pre-control response capability, and is used for carrying out big data management on the full life cycle of a battery; the method comprises the steps of carrying out real-time monitoring and prediction on the running condition trend of an electric core (battery cluster), establishing an individual safety system SOS based on batteries, updating the safety running of an energy storage system in real time, adopting a brand-new algorithm in a battery state calculation technology, having the characteristics of self-learning and a neural network model, being capable of self-adapting to various batteries, learning battery parameters in real time, taking the safety state of the batteries as an evaluation parameter of the batteries, and greatly improving the safety and the cycle life (delaying attenuation) of the battery system; and the front end acquisition and active equalization chip of the large-scale battery management system is developed and cooperated with the wireless PACK, and the complete energy storage technology ecology for realizing the energy storage value expression is realized from the battery cell, the BMS chip, the BMS application system, the energy storage data aggregation, the diagnosis analysis, the value mining and the data energization, and the power grid access. IBS adopts a battery core/battery full life cycle management system, and utilizes a big data self-adaptive algorithm to control the energy ratio in real time.
(System example)
The battery system provided by the application is described in detail below.
Referring to fig. 1, fig. 1 shows a block diagram of a battery system according to an embodiment of the present application.
An embodiment of the present application provides a battery system including:
at least one cell 20, each cell 20 for storing and releasing electrical energy;
the battery cell sensors 30 are arranged on the battery cells 20 in a one-to-one correspondence manner, and the battery cell sensors 30 are used for acquiring a battery cell parameter set of the battery cells 20 in real time; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
an electronic device 10.
In the present embodiment, the substrate of the cell sensor 30 is made of a flexible circuit board, on which at least one of a hydrogen leakage detecting unit, a cell pressure detecting unit, an electrolyte leakage detecting unit, a voltage detecting unit, a current detecting unit, and a communication module is integrated.
In some embodiments, the substrate of the cell sensor 30 may also be made of a rigid circuit board, or may be made of a rigid-flexible circuit board, where the substrate of the cell sensor 30 is not limited herein.
The hydrogen leakage detecting unit adopts a hydrogen sensor, and detects the change of the hydrogen concentration around the battery cell 20 to determine whether leakage exists. The cell pressure detection unit employs a pressure sensor by which the pressure at the relief valve position of the cell 20 is detected. The electrolyte leakage detecting unit employs a liquid sensor for detecting whether or not the electrolyte is leaked outside the battery cell 20. The voltage detection unit and the current detection unit respectively adopt a voltage sensor and a current sensor, and acquire the voltage and the current of the battery cell 20 by being arranged at the positive electrode position and the negative electrode position of the battery cell 20. The communication module is used for transmitting the acquired battery cell parameter set to a battery management system (Battery Management System, BMS). When the communication module does not transmit the cell parameter set to the battery management system, the communication module indicates abnormal communication.
As one example, a hydrogen sensor integrated in the cell sensor 30 is installed around the cell 20, and it is determined whether there is a leak by detecting a change in the hydrogen concentration around the cell 20. When the cell 20 leaks, the hydrogen concentration increases significantly, and the hydrogen sensor can sense this change and send a corresponding signal. The pressure sensor integrated in the cell sensor 30 is installed at the position of the pressure release valve of the cell 20, for detecting the pressure of the cell 20. When the pressure sensor detects a pressure change, a corresponding signal is sent. The liquid sensor integrated in the cell sensor 30 is used for detecting whether the electrolyte leaks outside the cell 20. The sensor can detect whether there is liquid contact outside the cell 20, and once electrolyte leakage is found, a corresponding signal can be sent to indicate leakage abnormality. The voltage sensor 30 is integrated with the voltage sensor, and is installed at the positive and negative positions of the battery cell 20, and is used for measuring the voltage of the battery cell 20, and the voltage sensor can monitor the voltage change of the battery cell 20 in real time and generate corresponding signals. The current sensor integrated in the cell sensor 30 is installed on the current path of the cell 20 for measuring the current of the cell 20. The current sensor monitors the current change of the battery cell 20 in real time and generates a corresponding signal. The communication module receives the respective signals and transmits all of the signals to the battery management system for analysis and processing.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a hydrogen leakage detecting unit according to an embodiment of the present application, in which dots represent a hydrogen sensitive material 33. The hydrogen leakage detecting unit includes a first circuit 31, a second circuit 32, and a hydrogen sensitive material 33 disposed between the first circuit 31 and the second circuit 32; the first circuit 31 and the second circuit 32 are connected by the hydrogen sensitive material 33. When the hydrogen leakage exists in the battery cell 20, the hydrogen enters the hydrogen leakage detection unit and chemically reacts with the hydrogen sensitive material 33, so that the resistance value of the hydrogen sensitive material 33 is changed, and the communication signal of the hydrogen leakage detection unit is further affected.
Specifically, when no hydrogen gas leaks, the first circuit 31 and the second circuit 32 are connected by the hydrogen sensitive material 33, and the resistance value of the hydrogen sensitive material is stabilized, so that the communication signal generated by the hydrogen gas leak detection unit is stabilized. When hydrogen leaks, the hydrogen chemically reacts with the hydrogen sensitive material 33, so that the resistance of the hydrogen sensitive material 33 changes, thereby affecting the communication signal generated by the hydrogen leakage detecting unit. By detecting the change of the communication state, it can be determined whether the cell 20 has hydrogen leakage, thereby indicating that the cell 20 has an abnormal condition of hydrogen leakage.
In this embodiment, the hydrogen sensitive material 33 may be a graphene material or a nano silver paste material, and the hydrogen sensitive material 33 is not limited herein.
In this embodiment, the cell temperature represents the temperature condition of the cell 20, and is an important index for evaluating the working state and safety of the cell. The temperature of the cells is not limited, and may be, for example, -20 ℃, -10 ℃, 0 ℃, 10 ℃, 20 ℃, 30 ℃, 40 ℃, 50 ℃, 60 ℃ and the like. The pressure represents the pressure condition of the battery cell and is used for monitoring the state of the battery cell and abnormal conditions such as leakage or overvoltage. It may be, for example, 0psi (pounds force per square inch), 10psi, 20psi, 30psi, 40psi, 50psi, 60psi, 70psi, 80psi, 90psi, 100psi, etc., and the cell pressure is not limited herein. The voltage represents the voltage level of the battery cell and is an important parameter for measuring the charge and discharge state and the energy storage condition of the battery cell. It may be, for example, 0.1V (volt), 0.2V, 0.5V, 1V, 1.2V, 1.5V, 2V, 2.5V, 3V, 3.6V, 4V, 5V, 6V, 7V, 8V, 9V, 10V, etc., and the voltage of the cell is not limited herein. The current represents the current inflow or outflow condition of the battery cell and is used for evaluating the charge and discharge state and the power output capacity of the battery cell. It may be, for example, 1mA (milliamp), 10mA (milliamp), 100mA (milliamp), 1A (amp), 10A (amp), 100A (amp), 1000A (amp), etc., and the current of the battery cell is not limited herein. The electrolyte leakage parameter indicates whether the electrolyte leakage exists around the cell, and can be used for detecting the liquid contact condition outside the cell, and the value of the electrolyte leakage parameter is usually a boolean value (yes/no). The hydrogen leakage parameter indicates whether there is a hydrogen leakage around the cell, and may be used to detect a hydrogen concentration change of the cell to determine whether there is a leakage, where the value is typically a boolean value (yes/no). The communication anomaly parameter represents the state of communication of the cell sensor 30 for indicating whether the set of cell parameters was successfully transmitted, typically a boolean value (yes/no).
(method example)
Referring to fig. 3, fig. 3 shows a flow chart of a method for monitoring a battery cell according to an embodiment of the present application.
The application provides a battery cell monitoring method, which is applied to a battery system, the battery system comprises at least one battery cell, a battery cell sensor arranged on each battery cell and an electronic device, the electronic device comprises a memory and a processor, the memory stores a computer program, and the processor is configured to realize the steps of the method when executing the computer program, the method comprises the following steps:
for each cell, the following process is performed:
step S101: acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
step S102: judging whether the battery cell is in an abnormal state according to the battery cell parameter set;
step S103: when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
In this embodiment, whether the corresponding cell is in an abnormal state is determined by analyzing and comparing each parameter in the cell parameter set.
As an example, the battery cell parameter set includes a communication abnormal parameter, and if the set communication interruption time threshold is 30 seconds, when the communication module cannot combine the transmission battery cell parameter sets for more than 30 seconds, it may be determined that the battery cell is in the communication abnormal state.
As another example, when the battery cell works at a safe temperature range of 0-60 ℃, a voltage working range of 2.5-4.2V, a rated current of 10A, and when the temperature in the parameter set of the battery cell is 75 ℃, the voltage is 2.2V, and the current is 12A, the battery cell can be judged to be in an abnormal state.
As yet another example, assuming a safe pressure range of 0-10psi for the cell, when the pressure in the parameter set of the cell is 12psi, it may be determined that the cell is in an abnormal state.
In this embodiment, the starting of the audible and visual alarm means that an alarm signal is sent out through sound and light to remind people to pay attention and take corresponding actions. The audible and visual alarm typically includes an alarm, a flashing light, or other audible and visual device. The starting of the networking alarm refers to the connection through the internet or a local area network, and an alarm signal is sent to a preset receiver through the network. The networking alerts may enable remote monitoring and notification to take action or notify personnel in time. Sending the alarm notification refers to sending the alarm notification to a preset addressee or contact person, and reminding the addressee or the contact person of the alarm condition by means of mobile phone short messages, emails, mobile phone application programs and the like. Dialing a preset emergency telephone number refers to automatically dialing a preset emergency telephone number to notify the relevant person and request assistance or take further action. Cutting off power refers to stopping or disconnecting the power supply to the device or system by cutting off power in some cases in order to avoid further danger or damage. Activating a fire extinguishing device refers to activating a fire extinguishing device, such as a water spray system, a gas fire extinguishing system, etc., to extinguish a fire or to control a dangerous situation.
As one example, when the battery system is applied to an intelligent automobile, the starting of the audible and visual alarm means that a warning signal is given to a driver and passengers in the automobile through sound and light equipment inside the automobile to remind them of the abnormal state of the battery. The networking alarm is started by sending abnormal state information of the battery cell to a background server or a cloud platform through a vehicle-mounted communication device, and reminding relevant personnel such as car owners, after-sales service personnel and the like. The sending of the alarm notification refers to sending abnormal state information to relevant personnel such as car owners, after-sales service personnel and the like through mobile equipment such as a vehicle-mounted communication device or a mobile phone and reminding the personnel to process the information in time. Dialing the preset emergency call refers to automatically dialing the preset emergency call when the abnormal state of the battery is serious, and informing related personnel to process. The power cut-off means that when the abnormal state of the battery cannot be solved by other means, the power supply of the battery is automatically cut off so as to prevent dangerous situations such as combustion of the battery. Starting the fire extinguishing device refers to automatically starting the fire extinguishing device in the automobile when the abnormal state of the battery reaches a certain degree so as to prevent dangerous situations such as battery combustion and the like.
As another example, when the battery system is applied to a storage container, activating an audible and visual alarm refers to sending an alarm signal through audible and light means inside or outside the container to alert field personnel or related personnel to the abnormal condition of the storage container. The networking alarm is started by sending abnormal state information of the battery system to a monitoring center or a related management platform through a network connection so as to monitor and remotely control. The sending of the alarm notification refers to sending abnormal state information to related personnel through short messages, emails, mobile phone applications and the like, and reminding the related personnel to take corresponding measures in time. Dialing a preset emergency call refers to automatically dialing the preset emergency call when serious abnormality or dangerous situation occurs in the battery system, and notifying related personnel to carry out emergency treatment. Cutting off the power supply means automatically cutting off the power supply when serious malfunction or dangerous situation occurs, so as to prevent further accident or reduce loss. The starting of the fire extinguishing device refers to automatically starting the fire extinguishing device in the container when the battery system is in dangerous conditions such as fire or overheat, so as to control or extinguish fire and reduce the influence and risk of accidents.
Therefore, the problem that abnormal states of the battery cells are not found timely can be solved, and the requirement of a user on the detection timeliness of the abnormal states of the battery is met. The battery cell sensor is arranged on each battery cell to acquire a battery cell parameter set of each battery cell in real time, wherein the battery cell parameter set comprises a battery cell temperature, a battery cell pressure, a battery cell voltage, a battery cell current, a battery fluid level parameter, a battery fluid leakage parameter, a battery fluid concentration parameter, a battery fluid leakage parameter, a battery fluid communication abnormality parameter and the like. And judging the abnormal state of each battery cell according to the battery cell parameter set. For example, by comparing with a preset safety range or fault determination standard, whether the battery cell is in an abnormal state is determined. When the battery cell is determined to be in an abnormal state, a corresponding alarm operation is triggered. These alert operations may include initiating an audible and visual alert, initiating a networking alert, sending an alert notification, making a preset emergency call, cutting power, and activating a fire extinguishing device, etc. Therefore, the abnormal condition of the battery cell can be responded quickly, appropriate measures can be taken, and the safety is ensured. On the one hand, the battery cell sensor can be arranged on the battery cells to realize direct measurement of each battery cell, so that the abnormal state of each battery cell is judged according to the parameter set of the battery cell, the abnormal condition of the battery cell can be found at the first time, and the potential safety problem is prevented. On the other hand, when the battery cell is in an abnormal state, various alarm operations such as acousto-optic alarm, networking alarm, alarm notification and the like can be triggered. Therefore, abnormal conditions can be timely perceived and handled, and safety risks are reduced.
In some embodiments, a hydrogen leakage detection unit is integrated in the cell sensor;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring the hydrogen leakage parameter of the battery cell in real time by utilizing the hydrogen leakage detection unit.
Thus, the hydrogen leakage detection unit is integrated in the cell sensor, and the hydrogen leakage detection unit can sense the hydrogen leakage condition in the cell. Through the real-time supervision of hydrogen leakage detecting element, can in time acquire the hydrogen leakage parameter of electric core. The hydrogen leakage parameter can be related indexes such as hydrogen concentration, hydrogen leakage rate and the like, and is used for judging whether the abnormal situation of hydrogen leakage exists in the power core. Therefore, on one hand, the cell sensor integrated with the hydrogen leakage detection unit can detect the hydrogen leakage condition in the cell in real time. This is very important for battery systems because hydrogen leakage may raise safety risks such as explosion or fire. By detecting the hydrogen leakage parameter in time, measures can be quickly taken to prevent potential hazards. On the other hand, by acquiring the hydrogen leakage parameter of the battery cell, whether the battery cell is in an abnormal state can be more comprehensively judged. Hydrogen leakage is often one of the indicators of cell failure or damage, so detection of hydrogen leakage parameters helps to discover anomalies in the cell in time.
In some embodiments the hydrogen leak detection unit includes a first circuit, a second circuit, and a hydrogen sensitive material disposed between the first circuit and the second circuit; the first circuit is connected with the second circuit through the hydrogen sensitive material;
the method for acquiring the hydrogen leakage parameter of the battery cell in real time by using the hydrogen leakage detection unit comprises the following steps:
receiving a communication signal generated by the hydrogen leakage detection unit; the communication signal is used for indicating whether the resistance value of the hydrogen sensitive material changes.
Thus, the hydrogen leakage detecting unit comprises a first circuit, a second circuit and a hydrogen sensitive material, wherein the hydrogen sensitive material is used as a bridge between the first circuit and the second circuit and is used for connecting the two circuits. When the hydrogen leakage exists in the battery cell, the hydrogen enters the hydrogen leakage detection unit and chemically reacts with the hydrogen sensitive material, so that the resistance value of the hydrogen sensitive material is changed. Specifically, when no hydrogen leaks, the first circuit and the second circuit are connected through the hydrogen sensitive material, and the resistance value of the hydrogen sensitive material is stable, so that the communication signal generated by the hydrogen leakage detection unit is stable. When hydrogen leaks, the hydrogen and the hydrogen sensitive material react chemically, so that the resistance of the hydrogen sensitive material changes, and the communication signal generated by the hydrogen leakage detection unit is influenced to change. By detecting the change of the communication signal, whether the battery cell has hydrogen leakage or not can be judged, so that the abnormal condition of the hydrogen leakage of the battery cell is indicated. On the one hand, the first circuit and the second circuit are connected by using the hydrogen sensitive material, and when hydrogen is in contact with the hydrogen sensitive material, the resistance value of the hydrogen sensitive material is changed, so that high-sensitivity detection of tiny hydrogen leakage is realized. On the other hand, by detecting the change of the communication signal, whether the hydrogen leakage exists in the power core can be accurately judged. The hydrogen sensitive material has better corrosion resistance and stability, and can ensure the reliability and long-term stability of the detection result. On the other hand, by acquiring the hydrogen leakage parameter in real time, namely detecting the change of the communication signal, the abnormal hydrogen leakage of the battery cell can be timely found, so that corresponding measures are taken to avoid potential safety risks.
In some embodiments, a cell pressure detection unit is integrated into the cell sensor;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring the pressure of the battery cell in real time by using the battery cell pressure detection unit.
Therefore, the cell pressure detection unit is integrated in the cell sensor, and the cell pressure detection unit can sense the pressure condition of the cell. The pressure parameters of the battery cell can be timely obtained through real-time monitoring of the battery cell pressure detection unit. Therefore, whether the battery cell is in a normal working pressure range or whether the pressure abnormality exists can be judged based on the pressure parameter. On the one hand, through the electric core sensor of integrated electric core pressure detection unit, the pressure variation of electric core can be detected in real time. During operation of the cell, too high or too low a pressure may occur, which may be caused by internal problems of the cell or by changes in the external environment. The pressure of the battery cell is monitored in real time, so that the pressure abnormality can be found in time, and potential faults or safety risks can be prevented. On the other hand, pressure anomalies in the cells may lead to safety issues in the battery system. The safety state of the battery cell can be judged in time by acquiring the pressure parameter of the battery cell in real time. And the pressure of the battery cell has important influence on the performance and the service life of the battery cell. By acquiring the pressure parameters of the battery cell in real time, the battery cell can be monitored and evaluated in real time so as to optimize the operation and use condition of the battery cell. According to the change of the pressure parameter, corresponding adjustment and maintenance can be carried out so as to improve the performance of the battery cell and prolong the service life of the battery cell.
In some embodiments, the cell sensor has an electrolyte leakage detection unit integrated therein;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring electrolyte leakage parameters of the battery cell in real time by using the electrolyte leakage detection unit.
Therefore, the electrolyte leakage detection unit is integrated in the battery cell sensor, and the electrolyte leakage detection unit can sense the leakage condition of the battery cell electrolyte. For example, the electrolyte leakage detection unit may employ an absorbent material or a chemical sensor, etc. technology, and can monitor the presence and leakage of the electrolyte. When electrolyte leakage occurs, the electrolyte leakage detection unit senses the presence or change of the electrolyte and generates a corresponding signal. By monitoring the signal generated by the electrolyte leakage detection unit in real time, whether the electrolyte leakage condition exists in the battery cell or not and the information such as the leakage degree and the leakage position can be judged. On the one hand, through the battery cell sensor of integrated electrolyte leakage detection unit, the electrolyte leakage condition of battery cell can be monitored in real time. Electrolyte leakage may cause safety problems of the battery system such as corrosion, short circuit, fire, or the like. By detecting electrolyte leakage parameters in real time, leakage conditions can be found timely, and potential faults or safety risks can be prevented. On the other hand, leakage of cell electrolyte can pose a threat to equipment and personnel safety. The electrolyte leakage parameters of the battery cell are obtained in real time, so that the safety state of the battery cell can be judged in time. Once the electrolyte leakage abnormality is detected, corresponding alarm operations such as an audible and visual alarm, a networking alarm and the like can be immediately triggered, and necessary measures are taken to protect the safety of personnel and equipment. On the other hand, the electrolyte is an important component of the battery, and leakage thereof may cause degradation of the battery performance and reduction of the life. By monitoring the electrolyte leakage parameters in real time, the state of the battery cell can be evaluated in time, and corresponding measures are taken for maintenance and repair so as to optimize the performance of the battery cell and prolong the service life of the battery cell.
Referring to fig. 4, fig. 4 is a schematic flow chart of determining an abnormal state according to an embodiment of the present application.
In some embodiments, the exception status corresponds to a plurality of exception levels;
the step of judging whether the battery cell is in an abnormal state according to the battery cell parameter set comprises the following steps:
step S201: inputting the cell parameter set into an anomaly detection model to obtain detection information corresponding to the cell; the detection information is used for indicating that the battery cell is in a normal state or at least one abnormal grade corresponding to the battery cell; the detection information comprises the predicted explosion time of the battery cell;
step S202: and judging whether the battery cell is in an abnormal state or not based on the detection information.
In this embodiment, the abnormality classes may include three or four or five stages, and the number of stages of abnormality classes is not limited.
As one example, when the anomaly level includes three levels, the anomaly level may be a low level anomaly, a medium level anomaly, and a high level anomaly. Wherein, the low-level abnormality indicates that the battery cell is in a slight abnormal state, and possible situations thereof include: the cell temperature is slightly above the normal range but still within acceptable limits; the cell voltage is slightly below the expected value but still within an acceptable range; the current of the cell is slightly higher than expected, but still within an acceptable range, etc. The mid-level anomaly indicates that the cell is in a moderate abnormal state, which may be the case including: the temperature of the battery cell obviously exceeds the normal range, and measures are needed to cool the battery cell to avoid overheating; the cell capacity is significantly lower than expected and more frequent charging or replacement of the cells, etc., may be required. A high level of anomalies indicates that the cell is in a severe anomaly state, possibly resulting in dangerous situations, which may include: short circuit of the battery, ignition or explosion of the battery, etc. The classification of the anomaly level into four or five stages is similar to this and will not be described in detail here.
In this embodiment, the predicted explosion time is estimated based on the set of parameters of the battery cell, and is a predicted value for indicating the dangerous situation that the battery cell may face in the current state. The predicted explosion time may be an important reference criterion for abnormal grading.
In this embodiment, the training process of the anomaly detection model includes:
acquiring a training set, wherein the training set comprises a plurality of training data, and each training data comprises a sample cell parameter set and labeling data of detection information corresponding to the sample cell parameter set;
for each training data in the training set, performing the following processing:
inputting a sample cell parameter set in the training data into a preset deep learning model to obtain prediction data of detection information corresponding to the sample cell parameter set;
updating model parameters of the deep learning model based on prediction data and labeling data of detection information corresponding to the sample cell parameter set;
detecting whether a preset training ending condition is met; if yes, taking the trained deep learning model as the anomaly detection model; if not, continuing to train the deep learning model by using the next training data.
Therefore, through designing, a proper amount of neuron computing nodes and a multi-layer operation hierarchical structure are established, a proper input layer and a proper output layer are selected, a preset deep learning model can be obtained, through learning and tuning of the deep learning model, a functional relation from input to output is established, although the functional relation between input and output cannot be found out by 100%, the functional relation can be as close to a real association relation as possible, the obtained abnormal detection model can be trained, corresponding detection information can be obtained based on a battery cell parameter set, the application range is wide, and the accuracy and reliability of a computing result are high.
In some embodiments of the application, the application may be trained to obtain anomaly detection models.
In other embodiments of the present application, the present application may employ a pre-trained anomaly detection model.
In this embodiment, the preset deep learning model may be a convolutional neural network model or a cyclic neural network model, which is not limited herein to the implementation manner of the preset deep learning model.
The training process of the anomaly detection model is not limited, and for example, the training mode of supervised learning, the training mode of semi-supervised learning or the training mode of unsupervised learning can be adopted.
The preset training ending condition is not limited, and for example, the training times can reach the preset times (the preset times are, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), or the training data in the training set can be all trained once or a plurality of times, or the total loss value obtained in the training is not more than the preset loss value.
Thus, the concept of multiple anomaly levels is introduced for the anomaly state of the cell. According to the cell parameter set, whether the cell is in an abnormal state or not can be judged, and the corresponding abnormal grade is determined. Specifically, by inputting the cell parameter set into the abnormality detection model for analysis and processing, detection information about the cell state can be obtained. The detection information may indicate whether the battery cell is in a normal state or indicate at least one abnormal level corresponding to when the battery cell is in an abnormal state. Wherein, the abnormality level may represent an abnormality degree or a severity degree of the battery cell. In addition, the detection information can also comprise related information such as the predicted explosion time of the battery cell. In one aspect, the introduction of multiple anomaly levels facilitates a more accurate assessment of the abnormal state of the cell. Different levels may reflect different degrees of abnormality of the cells, thereby helping to conduct targeted processing and management. Therefore, the problem of the battery cell can be identified more finely, and a corresponding solution is provided to ensure the safety and reliability of the battery system to the greatest extent. On the other hand, by detecting the predicted explosion time output by the model, the possible serious problems of the battery cell can be found in advance, and measures can be taken in time to avoid potential explosion risks. This is critical to the safety management of the battery system and can greatly reduce potential losses and hazards. On the other hand, by utilizing the cell parameter set and the abnormality detection model which are acquired in real time, the rapid judgment and processing of the cell state can be realized. The battery cell abnormality detection device is beneficial to timely taking measures when the battery cell is abnormal, and ensures the safe and stable operation of the battery system.
In some embodiments, when the battery cell is determined to be in an abnormal state, triggering an alarm operation includes:
determining an alarm operation corresponding to the abnormal grade based on the abnormal grade;
the notification content of the alarm notification comprises an emergency scheme; the emergency scheme obtaining process comprises the following steps:
acquiring system information of the battery system, wherein the system information comprises configuration information and application information of the battery system;
and generating the emergency scheme based on the abnormality level and the system information.
In this embodiment, there is a correspondence between the abnormality level and the alarm operation, and the alarm operation corresponding to different abnormality levels may be different.
As one example, the anomaly level includes five levels, with anomaly level 1 corresponding to starting an audible and visual alarm and sending an alarm notification;
the abnormal level 2 corresponds to starting an audible and visual alarm, starting a networking alarm and sending an alarm notification;
the abnormal level 3 corresponds to starting an audible and visual alarm, starting a networking alarm, sending an alarm notification and dialing a preset emergency call;
the abnormal level 4 corresponds to starting an audible and visual alarm, starting a networking alarm, sending an alarm notification, dialing a preset emergency call and cutting off a power supply;
The abnormal level 5 corresponds to starting an audible and visual alarm, starting a networking alarm, sending an alarm notification, making a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
In this embodiment, the notification content of the alert notification includes an emergency scheme, and when the alert notification is triggered, one of the operations may be to send the notification content containing the emergency scheme. The emergency plan provides detailed guidelines and steps to address specific anomalies. The specific emergency plan may be generated based on configuration information and application information of the battery system.
The configuration information of the battery system refers to specific parameters and options related to hardware and settings of the battery system, and is used to describe the composition, characteristics and operation settings of the battery system, which may be, for example, battery type, battery capacity, number and configuration of batteries, etc., and the configuration information is not limited herein. The battery type refers to a battery technology and type employed by the battery system, and may be, for example, a lithium ion battery, a lead-acid battery, a nickel-hydrogen battery, or the like, and the battery type is not limited herein. The number and configuration of the batteries refer to the number and arrangement of the battery cells in the battery system, which may include series and parallel connection, and layout and connection of battery modules, battery packs, and the like. The application information of the battery system refers to information related to the usage scenario and application requirements of the battery system. Application information is used to describe specific application requirements and limitations of the battery system in specific environments and uses, which may include, for example, usage scenarios, environmental conditions, safety standards, and the like. The use scenario refers to a specific scenario or industry in which the battery system is applied, and may be, for example, an energy storage power station, an electric vehicle, a solar energy system, aerospace, and the like. Battery system requirements and demands vary from scene to scene. The environmental conditions include the ambient temperature, ambient humidity, altitude, etc. at which the battery system is located. Safety standards relate to safety standards, regulations and compliance requirements for particular industries and regions. For example, battery systems for electric vehicles are required to meet vehicle safety standards and energy storage systems are required to meet safety requirements of the power industry.
Taking a battery system of an energy storage power station as an example, when one of the battery cores (33 # battery cores) has abnormal hydrogen leakage, and the abnormal level is three-level, alarming operation comprises starting an acousto-optic alarm, starting a networking alarm, sending an alarm notification and dialing a preset emergency call, wherein the notification content of the alarm notification comprises an emergency scheme, the acquisition process of the emergency scheme comprises the steps of acquiring configuration information and application information of the battery system, wherein the configuration information is lithium ion battery, 10MWh capacity, and has the functions of temperature protection, overvoltage protection, overcurrent protection and the like; the application information is that the energy storage power station is used for balancing the power grid load and coping with peak-valley electric quantity difference, the ambient temperature is 40 ℃, and the ambient humidity is 50%. The emergency scheme generated based on the configuration information and the application information can be used for immediately blocking the area where the 33 # battery cell is located, and can be used for taking the battery box, the battery room or the container where the 33 # battery cell is located as an area, ensuring that no personnel enter the area, and adopting proper safety measures, such as setting warning signs and warning lines, so as to ensure the safety of surrounding personnel; starting a gas discharge system and a ventilation system of the energy storage power station, and discharging hydrogen out of the energy storage power station; immediately contacting the related maintenance personnel, technicians or emergency service providers, notifying the hydrogen leakage condition, and requesting professional support; the No. 33 battery cell is rapidly isolated and a circuit in which the No. 33 battery cell is positioned is cut off so as to prevent further hydrogen leakage and battery cell fault diffusion; the necessary maintenance work such as repairing the cell seal, replacing the damaged cell and the like is carried out by trained and authorized maintenance personnel; thoroughly investigation and analysis of hydrogen leakage events are performed to determine root causes and to formulate corresponding corrective actions.
Therefore, when the battery cell is in the abnormal state, corresponding alarm operation is triggered according to the abnormal level. The specific content of the alarm operation changes according to different abnormal grades so as to adapt to abnormal conditions of different grades. When an alarm operation is triggered, one of the important components is an alarm notification, the notification content of which includes an emergency plan. The emergency scheme is generated according to the abnormal grade and the system information and is used for guiding a user or an operator to take corresponding emergency measures in the abnormal state of the battery cell. In order to generate an emergency plan, system information of the battery system, including configuration information and application information of the battery system, needs to be acquired. The configuration information and application information may provide detailed descriptions about the characteristics and environment of the battery system in order to better evaluate the impact of abnormal situations and take appropriate emergency action. Based on the anomaly level and the system information, a corresponding emergency plan may be generated according to predefined rules and policies. The emergency plan may include information such as operating guidelines for a particular level of abnormality, safety instructions, fault handling steps, telephone numbers of contact related personnel, and the like. The generated emergency scheme can help the user to rapidly and effectively cope with abnormal conditions of the battery cell, and reduces accident risks and losses. And generating a corresponding emergency scheme by judging the abnormal grade of the power core and acquiring system information. Therefore, under the abnormal state of the battery cell, a user or an operator can timely and accurately take appropriate measures to treat the abnormal situation, and the probability of serious accidents of the battery system is reduced.
Referring to fig. 5, fig. 5 shows a flowchart of determining state health according to an embodiment of the present application.
In some embodiments, the method further comprises:
step S301: controlling the constant-current discharge of the battery cell under a preset discharge condition, and storing the temperature of the battery cell and the state of charge corresponding to the temperature of the battery cell in real time to obtain battery cell temperature data;
step S302: performing data processing on the battery cell temperature data to obtain characteristic data; the characteristic data comprise the temperature of the battery cell within a preset state of charge range;
step S303: acquiring a preset battery cell life prediction model;
step S304: and inputting the characteristic data into the battery cell life prediction model to obtain the state health degree of the battery cell.
In this embodiment, the preset discharge condition may be a constant level discharge in which the current is to be maintained at 2 amps, or a constant level discharge in which the current is to be maintained at 4 amps, and is not limited herein.
In this embodiment, the temperature change rate within the preset state of charge range can reflect the lifetime degradation information of the battery cells, and the preset state of charge range may be different for different types of battery cells. The preset state of charge range may be a state of charge range of 100% to 50%, a state of charge range of 90% to 50%, or a state of charge range of 100% to 60%, which is not limited herein.
In this embodiment, the battery life prediction model may be a convolutional neural network model or a cyclic neural network model, which is not limited herein to the implementation manner of the preset battery life prediction model.
The application does not limit the training process of the battery cell life prediction model, and can adopt a training mode of supervised learning similar to the abnormality detection model, or can adopt a training mode of semi-supervised learning, or can adopt a training mode of unsupervised learning.
Therefore, under the preset discharging condition, constant-current discharging is carried out on the battery cell, a certain discharging load can be provided, so that the temperature of the battery cell rises in the discharging process, the temperature of the battery cell and the corresponding state of charge are recorded in real time in the discharging process, and the temperature data of the battery cell are obtained in a summarizing mode. And carrying out data processing on the cell temperature data recorded in real time, and extracting characteristic data. The characteristic data comprise the temperature of the battery cell in a preset state of charge range. These characteristic data reflect the temperature characteristics of the cells over a predetermined state of charge. And acquiring a preset battery cell life prediction model. And inputting the characteristic data into a battery cell life prediction model, and calculating and analyzing. And predicting and evaluating the state health of the battery core according to the characteristic data to obtain the information of the current state health of the battery core, wherein the information is used for judging whether the battery core is in a normal state or has potential health problems. On the one hand, through processing and feature extraction of the battery cell temperature data and combining with a preset battery cell life prediction model, the state health degree of the battery cell can be evaluated. The method is favorable for early finding potential problems and health degradation of the battery cell, taking measures in advance to maintain and repair, and prolonging the service life of the battery cell. On the other hand, through the battery cell life prediction model, the life of the battery cell can be predicted by combining the battery cell temperature data acquired in real time. The battery cell service life monitoring system can help a user to know the service life of the battery cell, make a more reasonable maintenance plan and a more accurate replacement strategy, and improve the reliability and economic benefit of a battery system. On the other hand, through real-time monitoring and evaluating the state health of the battery cell, the service life condition of the battery cell in a high-temperature environment can be found in time, and corresponding measures such as reducing the discharge rate, enhancing the heat dissipation and the like are taken to ensure the safety and the reliability of the battery cell.
In some embodiments, the method further comprises:
recording the state health degree of each battery cell in real time to obtain a battery cell health degree form;
detecting the health degree of each electric core in the electric core health degree table;
when the state health degree of one of the battery cells is lower than a preset health degree threshold value, generating notification information, and sending the notification information to preset user equipment; the notification information includes a cell number.
In this embodiment, the preset health degree threshold may be 90%, 80%, or 70%, which is not limited herein.
The embodiment of the application does not limit the user equipment, and can be intelligent terminal equipment such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, intelligent wearable equipment and the like, or the user equipment can be a workstation or a console. Examples of the manner of sending the notification information include short message push, mail push, in-application push, and telephone notification.
As an example, a message is sent to the battery cell responsible person a01 in a manner of pushing a short message, and the text content included in the message is "the battery cell responsible person a01 is your good, the state of the 33 # battery cell of the battery box B is poor in health degree, and the battery cell needs to be replaced in time. "
Therefore, the state health degree of the battery cells is recorded in real time, and the battery cell health degree table is generated, so that a user can conveniently know the health condition of each battery cell, timely finding out a problem battery cell and taking corresponding measures are facilitated, and the reliability and safety of a battery system are improved. Each cell in the cell health degree list is detected, when the state health degree of a certain cell is found to be lower than a preset health degree threshold value, notification information is generated and sent to user equipment, the cell with low health degree can be known in time, necessary maintenance or replacement measures are taken, and potential faults and losses are prevented.
In some embodiments, the method further comprises:
acquiring charge and discharge strategy information according to the cell parameter set of each cell; the charge-discharge strategy information comprises a battery cell number and charge-discharge time;
and controlling each electric core to charge or discharge according to the charge-discharge strategy information so as to balance the electric quantity of each electric core.
As an example, if a battery pack contains three cells, numbered A, B and C, respectively. The set of cell parameters for each cell is as follows:
cell a: capacity: 1000mAh; charge and discharge efficiency: 95%; state of charge: 80%; temperature: 25 ℃;
Cell B: capacity: 800mAh; charge and discharge efficiency: 90%; state of charge: 50%; temperature: 30 ℃;
cell C: capacity: 1200mAh; charge and discharge efficiency: 92%; state of charge: 70% of the total weight of the steel sheet; temperature: 28 ℃;
and generating charge and discharge strategy information according to the cell parameter set of each cell. In this example, take a simple rule as an example: the electric quantity of each cell is dynamically balanced. The generated charge-discharge strategy information is as follows: during discharging, the battery cell A and the battery cell C are preferably used for discharging, for example, after half an hour of discharging the battery cell A and the battery cell C, the battery cell B also starts to discharge; during charging, cell B is preferably charged, for example, half an hour after cell B is charged, and cell a and cell C also start charging, thereby balancing the amount of power of each cell.
It should be noted that this is a simple example, and the actual charge-discharge strategy may be more complex, requiring more factors to be involved, such as cell temperature, cell leakage, etc., and employing accurate algorithms to generate the strategy.
Therefore, the battery core sensor is utilized to acquire a battery core parameter set of the battery core in real time, and the charging and discharging strategy information is generated by using an algorithm or rule according to the information of the relevant parameters of each battery core, such as the battery core capacity, the charging and discharging efficiency, the charging state, the temperature and the like. The goal of the charge-discharge strategy information is to balance the charge of each cell so that it remains within a suitable range. The charge-discharge strategy information can consider the factors such as the capacity, charge-discharge efficiency, charge state and the like of the battery cell, and the arrangement of charge-discharge time. And according to the generated charge-discharge strategy information, carrying out corresponding charge or discharge control on each battery cell. On the one hand, the electric quantity of each electric core can be kept balanced by implementing a charging and discharging strategy, so that the condition that the electric quantity of certain electric cores is too high or too low is avoided, and the reliability and the service life of a battery system are improved. On the other hand, by formulating a reasonable charge-discharge strategy according to the cell parameter set of each cell, the situation of each cell is comprehensively considered, so that the utilization of the battery energy can be maximized, and the overall energy density and the use efficiency of the battery system are improved. On the other hand, by balancing the electric quantity of the electric cores, the excessive charge and discharge of certain electric cores are avoided, the loss and aging speed of the electric cores can be reduced, and the whole service life is prolonged.
In a specific application scenario, the embodiment of the application provides a battery cell monitoring method, which is applied to a battery system, wherein the battery system comprises at least one battery cell, a battery cell sensor and electronic equipment, wherein the battery cell sensor is arranged on each battery cell, a hydrogen leakage detection unit, a battery cell pressure detection unit and an electrolyte leakage detection unit are integrated in the battery cell sensor, and the hydrogen leakage detection unit comprises a first circuit, a second circuit and a hydrogen sensitive material arranged between the first circuit and the second circuit; the first circuit is connected with the second circuit through the hydrogen sensitive material; the electronic device comprises a memory storing a computer program and a processor configured to implement the steps of the method when executing the computer program, the method comprising:
for each cell, the following process is performed:
acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
Inputting the cell parameter set into an anomaly detection model to obtain detection information corresponding to the cell; the detection information is used for indicating that the battery cell is in a normal state or at least one abnormal grade corresponding to the battery cell; the detection information comprises the predicted explosion time of the battery cell;
and judging whether the battery cell is in an abnormal state or not based on the detection information.
When the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
The method for acquiring the battery cell parameter set of the battery cell by using the battery cell sensor in real time comprises the following steps:
receiving a communication signal generated by the hydrogen leakage detection unit; the communication signal is used for indicating whether the resistance value of the hydrogen sensitive material changes or not;
the pressure of the battery cell is obtained in real time by utilizing the battery cell pressure detection unit;
and acquiring electrolyte leakage parameters of the battery cell in real time by using the electrolyte leakage detection unit.
(electronic device)
The embodiment of the application also provides an electronic device, the specific embodiment of which is consistent with the embodiment described in the method embodiment and the achieved technical effect, and part of the contents are not repeated.
The electronic device comprises a memory and at least one processor, the memory storing a computer program, the at least one processor implementing the following steps when executing the computer program:
for each cell, the following process is performed:
acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
judging whether the battery cell is in an abnormal state according to the battery cell parameter set;
when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
In some alternative embodiments, a hydrogen leakage detection unit is integrated into the cell sensor; the at least one processor, when executing the computer program, obtains the set of cell parameters of the cell in real time by using the cell sensor in the following manner:
And acquiring the hydrogen leakage parameter of the battery cell in real time by utilizing the hydrogen leakage detection unit.
In some alternative embodiments, the hydrogen leakage detection unit includes a first circuit, a second circuit, and a hydrogen sensitive material disposed between the first circuit and the second circuit; the first circuit is connected with the second circuit through the hydrogen sensitive material; and when the at least one processor executes the computer program, the hydrogen leakage detection unit is utilized to acquire the hydrogen leakage parameters of the battery cell in real time in the following mode:
receiving a communication signal generated by the hydrogen leakage detection unit; the communication signal is used for indicating whether the resistance value of the hydrogen sensitive material changes.
In some alternative embodiments, a cell pressure detection unit is integrated into the cell sensor; the at least one processor, when executing the computer program, obtains the set of cell parameters of the cell in real time by using the cell sensor in the following manner:
and acquiring the pressure of the battery cell in real time by using the battery cell pressure detection unit.
In some alternative embodiments, the cell sensor has an electrolyte leakage detection unit integrated therein; the at least one processor, when executing the computer program, obtains the set of cell parameters of the cell in real time by using the cell sensor in the following manner:
And acquiring electrolyte leakage parameters of the battery cell in real time by using the electrolyte leakage detection unit.
In some alternative embodiments, the anomaly state corresponds to a plurality of anomaly levels; when the at least one processor executes the computer program, judging whether the battery cell is in an abnormal state according to the battery cell parameter set by adopting the following modes:
inputting the cell parameter set into an anomaly detection model to obtain detection information corresponding to the cell; the detection information is used for indicating that the battery cell is in a normal state or at least one abnormal grade corresponding to the battery cell; the detection information comprises the predicted explosion time of the battery cell;
and judging whether the battery cell is in an abnormal state or not based on the detection information.
In some alternative embodiments, the at least one processor, when executing the computer program, triggers an alert operation when it is determined that the cell is in an abnormal state in the following manner:
determining an alarm operation corresponding to the abnormal grade based on the abnormal grade;
the notification content of the alarm notification comprises an emergency scheme; the emergency scheme obtaining process comprises the following steps:
Acquiring system information of the battery system, wherein the system information comprises configuration information and application information of the battery system;
and generating the emergency scheme based on the abnormality level and the system information.
In some alternative embodiments, the at least one processor, when executing the computer program, further performs the steps of:
controlling the constant-current discharge of the battery cell under a preset discharge condition, and storing the temperature of the battery cell and the state of charge corresponding to the temperature of the battery cell in real time to obtain battery cell temperature data;
performing data processing on the battery cell temperature data to obtain characteristic data; the characteristic data comprise the temperature of the battery cell within a preset state of charge range;
acquiring a preset battery cell life prediction model;
and inputting the characteristic data into the battery cell life prediction model to obtain the state health degree of the battery cell.
Referring to fig. 6, fig. 6 is a block diagram of an electronic device 10 according to an embodiment of the present application.
The electronic device 10 may for example comprise at least one memory 11, at least one processor 12 and a bus 13 connecting the different platform systems.
Memory 11 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 111 and/or cache memory 112, and may further include Read Only Memory (ROM) 113.
The memory 11 also stores a computer program executable by the processor 12 to cause the processor 12 to implement the steps of any of the methods described above.
Memory 11 may also include utility 114 having at least one program module 115, such program modules 115 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Accordingly, the processor 12 may execute the computer programs described above, as well as may execute the utility 114.
The processor 12 may employ one or more application specific integrated circuits (ASICs, application Specific Integrated Circuit), DSPs, programmable logic devices (PLDs, programmable Logic Device), complex programmable logic devices (CPLDs, complex Programmable Logic Device), field programmable gate arrays (FPGAs, fields-Programmable Gate Array), or other electronic components.
Bus 13 may be a local bus representing one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or any of a variety of bus architectures.
The electronic device 10 may also communicate with one or more external devices such as a keyboard, pointing device, bluetooth device, etc., as well as one or more devices capable of interacting with the electronic device 10 and/or with any device (e.g., router, modem, etc.) that enables the electronic device 10 to communicate with one or more other computing devices. Such communication may be via the input-output interface 14. Also, the electronic device 10 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 15. The network adapter 15 may communicate with other modules of the electronic device 10 via the bus 13. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the electronic device 10 in actual applications, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage platforms, and the like.
(computer-readable storage Medium)
The embodiment of the application also provides a computer readable storage medium, and the specific embodiment of the computer readable storage medium is consistent with the embodiment recorded in the method embodiment and the achieved technical effect, and part of the contents are not repeated.
The computer readable storage medium stores a computer program which, when executed by at least one processor, performs the steps of any of the methods or performs the functions of any of the electronic devices described above.
The computer readable medium may be a computer readable signal medium or a computer readable storage medium. In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable storage medium may also be any computer readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the C programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
(computer program product)
The embodiment of the application also provides a computer program product, the specific embodiment of which is consistent with the embodiment described in the method embodiment and the achieved technical effect, and part of the contents are not repeated.
The present application provides a computer program product comprising a computer program which, when executed by at least one processor, performs the steps of any of the methods or performs the functions of any of the electronic devices described above.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer program product according to an embodiment of the present application.
The computer program product is configured to implement the steps of any of the methods described above or to implement the functions of any of the electronic devices described above. The computer program product may employ a portable compact disc read only memory (CD-ROM) and comprise program code and may run on a terminal device, such as a personal computer. However, the computer program product of the present application is not limited thereto, and the computer program product may employ any combination of one or more computer readable media.
The present application has been described in terms of its purpose, performance, advancement, and novelty, and the like, and is thus adapted to the functional enhancement and use requirements highlighted by the patent statutes, but the description and drawings are not limited to the preferred embodiments of the present application, and therefore, all equivalents and modifications that are included in the construction, apparatus, features, etc. of the present application shall fall within the scope of the present application.

Claims (11)

1. A battery cell monitoring method, characterized by being applied to a battery system comprising at least one battery cell, a battery cell sensor provided on each battery cell, and an electronic device comprising a memory and a processor, the memory storing a computer program, the processor being configured to implement the steps of the method when executing the computer program, the method comprising:
for each cell, the following process is performed:
acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
judging whether the battery cell is in an abnormal state according to the battery cell parameter set;
when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
2. The method of claim 1, wherein the cell sensor has a hydrogen leak detection unit integrated therein;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring the hydrogen leakage parameter of the battery cell in real time by utilizing the hydrogen leakage detection unit.
3. The method of claim 2, wherein the hydrogen leak detection unit comprises a first circuit, a second circuit, and a hydrogen sensitive material disposed between the first circuit and the second circuit; the first circuit is connected with the second circuit through the hydrogen sensitive material;
the method for acquiring the hydrogen leakage parameter of the battery cell in real time by using the hydrogen leakage detection unit comprises the following steps:
receiving a communication signal generated by the hydrogen leakage detection unit; the communication signal is used for indicating whether the resistance value of the hydrogen sensitive material changes.
4. The method of claim 1, wherein the cell sensor has a cell pressure detection unit integrated therein;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring the pressure of the battery cell in real time by using the battery cell pressure detection unit.
5. The method of claim 1, wherein the cell sensor has an electrolyte leakage detection unit integrated therein;
the acquiring, in real time, the set of cell parameters of the cell by using the cell sensor includes:
and acquiring electrolyte leakage parameters of the battery cell in real time by using the electrolyte leakage detection unit.
6. The method of claim 1, wherein the exception status corresponds to a plurality of exception levels;
the step of judging whether the battery cell is in an abnormal state according to the battery cell parameter set comprises the following steps:
inputting the cell parameter set into an anomaly detection model to obtain detection information corresponding to the cell; the detection information is used for indicating that the battery cell is in a normal state or at least one abnormal grade corresponding to the battery cell; the detection information comprises the predicted explosion time of the battery cell;
and judging whether the battery cell is in an abnormal state or not based on the detection information.
7. The method according to claim 1, wherein the method further comprises:
acquiring charge and discharge strategy information according to the cell parameter set of each cell; the charge-discharge strategy information comprises a battery cell number and charge-discharge time;
And controlling each electric core to charge or discharge according to the charge-discharge strategy information so as to balance the electric quantity of each electric core.
8. An electronic device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor implementing the following steps when executing the computer program:
for each cell, the following process is performed:
acquiring a battery cell parameter set of the battery cell in real time by using the battery cell sensor; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
judging whether the battery cell is in an abnormal state according to the battery cell parameter set;
when the battery cell is determined to be in an abnormal state, triggering an alarm operation; the alert operation includes at least one of: starting an audible and visual alarm, starting a networking alarm, sending an alarm notice, dialing a preset emergency call, cutting off a power supply and starting the fire extinguishing device.
9. A battery system, the system comprising:
At least one cell, each of the cells for storing and releasing electrical energy;
the battery cell sensors are arranged on the battery cells in a one-to-one correspondence manner, and the battery cell sensors are used for acquiring a battery cell parameter set of the battery cells in real time; the battery cell parameter set comprises at least one parameter of battery cell temperature, pressure, voltage, current, electrolyte liquid level parameters, electrolyte leakage parameters, gas concentration parameters, hydrogen leakage parameters and communication abnormality parameters;
an electronic device comprising a memory storing a computer program and a processor configured to implement the steps of the method of any of claims 1-7 when the computer program is executed.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by at least one processor, implements the steps of the method of any of claims 1-7 or implements the functionality of the electronic device of claim 8.
11. A computer program product, characterized in that it comprises a computer program which, when executed by at least one processor, implements the steps of the method of any one of claims 1-7 or the functions of the electronic device of claim 8.
CN202310731401.3A 2023-06-20 2023-06-20 Battery cell monitoring method, battery system and related device Pending CN116774063A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310731401.3A CN116774063A (en) 2023-06-20 2023-06-20 Battery cell monitoring method, battery system and related device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310731401.3A CN116774063A (en) 2023-06-20 2023-06-20 Battery cell monitoring method, battery system and related device

Publications (1)

Publication Number Publication Date
CN116774063A true CN116774063A (en) 2023-09-19

Family

ID=88010990

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310731401.3A Pending CN116774063A (en) 2023-06-20 2023-06-20 Battery cell monitoring method, battery system and related device

Country Status (1)

Country Link
CN (1) CN116774063A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117705196A (en) * 2024-01-31 2024-03-15 杭州高特电子设备股份有限公司 Energy storage air conditioner temperature fault diagnosis method and energy storage equipment
CN117872159A (en) * 2024-01-22 2024-04-12 广西煜信恩能源科技有限公司 Lithium battery cell charge and discharge abnormality detection method and system based on data analysis

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117872159A (en) * 2024-01-22 2024-04-12 广西煜信恩能源科技有限公司 Lithium battery cell charge and discharge abnormality detection method and system based on data analysis
CN117705196A (en) * 2024-01-31 2024-03-15 杭州高特电子设备股份有限公司 Energy storage air conditioner temperature fault diagnosis method and energy storage equipment
CN117705196B (en) * 2024-01-31 2024-05-03 杭州高特电子设备股份有限公司 Energy storage air conditioner temperature fault diagnosis method and energy storage equipment

Similar Documents

Publication Publication Date Title
EP3800725B1 (en) Thermal runaway detection method, device and system for batteries, and battery management unit
CN111873853B (en) Battery management method, device, battery management system, vehicle, and storage medium
CN116774063A (en) Battery cell monitoring method, battery system and related device
KR102544901B1 (en) Lithium-ion battery safety monitoring
CN209719310U (en) A kind of BMS battery management system
CN110861531A (en) Power battery failure early warning system and method
JP2022529401A (en) Battery anomaly detection device and method, battery management system that provides the method
EP3840083A1 (en) Thermal runaway detection system and battery system
CN115020836B (en) Battery cell early warning method, device, system, equipment, medium and program product
CN114447451B (en) Method for monitoring early hidden danger of battery of energy storage station
Snyder et al. Understanding and managing hazards of l ithium‐ion battery systems
CN108258340A (en) A kind of battery system with gas monitoring apparatus
CN118299684A (en) Power battery thermal runaway early warning system and method
CN117665595A (en) Battery state monitoring method, device, electronic equipment and storage medium
Wang et al. [Retracted] Research on the Early Warning Mechanism for Thermal Runaway of Lithium‐Ion Power Batteries in Electric Vehicles
RU2474832C2 (en) Automated system of control and diagnostics of ship-based accumulator batteries
US11946974B2 (en) Parallel battery relay diagnostic device and method
CN108448184A (en) A kind of energy-saving management system based on fuel cell
CN103795093A (en) Battery monitoring system of electric vehicle charging station
CN201611792U (en) Battery charging safety protection circuit
CN114256543A (en) Energy storage device and control method thereof
CN110907845A (en) Power type power battery evaluation system and evaluation method for vehicle
KR20210053067A (en) Diagnosing Apparatus for Cable Deterioration of Parallel-Connected Multi Battery Pack and Method thereof
US20240295610A1 (en) Methods and systems for safety monitoring of rechargeable lithium battery powering electrical device
KR102484196B1 (en) Low-Discharge Battery Charge-Discharge Current Amount Control System

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination