CN113823847B - Safety management method and device for battery system - Google Patents
Safety management method and device for battery system Download PDFInfo
- Publication number
- CN113823847B CN113823847B CN202010560864.4A CN202010560864A CN113823847B CN 113823847 B CN113823847 B CN 113823847B CN 202010560864 A CN202010560864 A CN 202010560864A CN 113823847 B CN113823847 B CN 113823847B
- Authority
- CN
- China
- Prior art keywords
- air pressure
- change rate
- battery
- data
- pressure change
- 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.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4285—Testing apparatus
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention belongs to the technical field of new energy batteries, and particularly relates to a safety management method and device of a battery system. The method comprises a temperature filtering method, wherein the method firstly acquires temperature data of a battery and judges whether abnormal temperature data appear in the temperature data; if abnormal temperature data appear in the temperature data, acquiring air pressure data of the battery corresponding to the abnormal temperature data, and judging whether the air pressure data are normal air pressure data or not; and then eliminating abnormal temperature data corresponding to the normal air pressure data, so as to carry out safety management of the battery system according to the eliminated temperature data. The invention corrects the acquired temperature data by utilizing the acquired air pressure data, plays a role in filtering abnormal temperature data, and prevents the occurrence of temperature false alarm.
Description
Technical Field
The invention belongs to the technical field of new energy batteries, and particularly relates to a safety management method and device of a battery system.
Background
In recent years, global warming problems become more and more serious, energy conservation and emission reduction are started in various countries, and various environment-friendly new energy products are produced successively. In order to prevent the pollution of the battery, the new energy battery is applied, so that the pollution condition is greatly improved. The use of new energy batteries (such as lithium ion batteries) is often more attractive, for example, a plurality of single batteries are connected in series and parallel in a battery pack, and if the performances of the single batteries are inconsistent, the battery with slightly poorer performance is subjected to vicious cycle use; the temperature of the battery cannot be too high, otherwise the risk of swelling or even explosion easily occurs; mechanical impact, extrusion, overcharging, overdischarging, internal short-circuiting, etc. may cause thermal runaway, causing sudden rise of the battery temperature, smoke, fire, etc.
In order to prevent these phenomena, a general battery system (including a battery body and a battery management system) monitors data such as voltage, current, temperature, impedance, pressure, etc. of a battery to determine whether the battery is operated safely and reliably, calculate SOX (SOP, SOH, etc.) of the battery, or instruct a module design, an explosion-proof valve design to manage and design the life and safety of the battery system. For example, 6-8 temperature probes are arranged in one battery pack, so that safety precaution can be carried out on thermal runaway; a pressure sensor is mounted on the device to detect the degree of expansion of the battery.
When the temperature sensor is used for temperature detection, the processing mode is that temperature data are acquired and judged, and when the temperature data are judged to suddenly rise, temperature rise alarm is carried out. However, this case ignores the problem that, in addition to the sudden increase of the detected temperature data caused by the temperature increase of the battery itself, there is also a possibility that a problem occurs in the data transmission process due to the temperature sensor itself or the data detected by the temperature sensor, so that the temperature data which should be normal becomes temperature data with abnormal temperature, and a false alarm situation occurs.
In addition, the temperature sensor only has a safety early warning function of thermal runaway, has no safety problem early warning function caused by cell rupture and leakage due to cell inflation, and needs to be matched with other sensors or detection devices to realize comprehensive safety early warning of the battery.
Disclosure of Invention
The invention provides a safety management method and device of a battery system, which are used for solving the problem that temperature rise is misreported due to the fact that a temperature sensor or data detected by the temperature sensor are in a problem in a data transmission process.
In order to solve the technical problems, the technical scheme of the invention comprises the following steps:
the invention provides a safety management method of a battery system, which comprises a temperature filtering method, wherein the temperature filtering method comprises the following steps:
acquiring temperature data of the battery, and judging whether abnormal temperature data appear in the temperature data;
if abnormal temperature data appear in the temperature data, acquiring air pressure data of the battery corresponding to the abnormal temperature data, and judging whether the air pressure data are normal air pressure data or not;
and eliminating abnormal temperature data corresponding to the normal air pressure data, so as to perform safety management of the battery system according to the eliminated temperature data.
The beneficial effects of the technical scheme are as follows: when abnormal temperature data appear in the temperature data, the invention utilizes the air pressure data to judge whether the abnormal temperature data are truly caused by abnormal temperature of the battery or caused by other reasons (such as failure of the sensor and error data transmission caused by the data transmission process of the sensor acquisition), namely when the air pressure data are normal air pressure data, the invention can determine that the battery temperature is normal, and reject the abnormal temperature data, thereby ensuring that the system can perform safety management of the battery system according to the rejected temperature data. The invention corrects the acquired temperature data by utilizing the acquired air pressure data, plays a role in filtering abnormal temperature data, and prevents the occurrence of temperature false alarm.
As a further improvement of the method, the air pressure data is an air pressure value, and the corresponding conditions for judging that the air pressure data is normal air pressure data are as follows: the air pressure value is smaller than the normal air pressure threshold value P1.
As a further improvement of the method, the air pressure data is an air pressure change rate, and the corresponding conditions for judging that the air pressure data is normal air pressure data are as follows: the air pressure change rate is larger than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, and the leakage air pressure change rate threshold value V1 is smaller than the normal air pressure change rate threshold value V2.
As a further improvement of the method, in order to accurately determine whether the air pressure of the battery is normal air pressure data, the air pressure data includes an air pressure value and an air pressure change rate, and the conditions for determining that the air pressure data is normal air pressure data are as follows: the air pressure value is smaller than the normal air pressure threshold value P1, the air pressure change rate is larger than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, and the leakage air pressure change rate threshold value V1 is smaller than the normal air pressure change rate threshold value V2.
As a further improvement of the method, there is also included an air pressure judging method including the steps of:
acquiring air pressure data of a battery, and judging whether the air pressure of the battery is normal or not according to the air pressure data of the battery;
the air pressure data of the battery are an air pressure value and an air pressure change rate, and the corresponding conditions for determining the normal air pressure of the battery are as follows: the air pressure value in the set time is continuously smaller than the normal air pressure threshold value P1, and the air pressure change rate in the set time is larger than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, wherein the leakage air pressure change rate threshold value V1 is smaller than the normal air pressure change rate threshold value V2; otherwise, the battery air pressure is abnormal.
As a further improvement of the method, when the air pressure of the battery is abnormal, alarming of corresponding grade is carried out according to an air pressure value abnormal interval in which the air pressure value is located and an air pressure change rate abnormal interval in which the air pressure change rate is located; the abnormal air pressure value section is divided into sections according to the abnormal air pressure value, each section corresponds to different alarm levels, and the abnormal air pressure change rate section is divided into sections according to the abnormal air pressure change rate, and each section corresponds to different alarm levels.
As a further improvement of the method, when the air pressure of the battery is abnormal, determining the level according to the air pressure value, determining the interval according to the air pressure change rate under the level, and alarming the corresponding level; the method for dividing the hierarchy and the interval comprises the following steps: firstly, dividing a plurality of layers according to the magnitude of the abnormal air pressure value, dividing each layer into a plurality of sections according to the magnitude of the air pressure change rate, and corresponding to the alarm level in each section.
As a further improvement of the method, when the air pressure of the battery is abnormal, the input power and the output power of the battery system are limited according to the alarm level.
The invention also provides a safety management device of the battery system, which comprises a memory and a processor, wherein the processor is used for executing instructions stored in the memory to realize the safety management method of the battery system and achieve the same effects as the method.
Drawings
FIG. 1 is a schematic diagram of a single cell of the present invention integrated with a temperature sensor;
FIG. 2 is a flow chart of the temperature filtering method in method embodiment 1 of the present invention;
FIG. 3 is a flow chart showing the air pressure judging method in the method embodiment 1 of the present invention;
FIG. 4 is a flow chart showing the air pressure judging method in the method embodiment 2 of the present invention;
FIG. 5 is a schematic diagram of the hierarchy, interval partitioning and corresponding alarm levels in method embodiment 2 of the present invention;
fig. 6 is a structural view of a safety management device of the battery system of the present invention;
the device comprises a 1-single battery shell, a 2-battery top cover, a 3-positive pole, a 4-negative pole, a 5-explosion-proof valve and a 6-air pressure sensor.
Detailed Description
The lithium ion battery side reaction can generate gases such as ammonia, hydrogen, oxygen, water, carbon dioxide and the like, and the gas generation amount gradually increases along with the increase of the cycle times, and the single battery is a sealed cavity, so that the internal air pressure gradually increases. Side reactions are aggravated when the battery temperature is too high or the charging voltage is too high, and the rate of increase of the air pressure increases. When the heat generation rate of the exothermic side reaction is higher than the heat dissipation rate of the battery, the internal pressure and the temperature of the battery are rapidly increased, so that the battery enters an uncontrollable self-heating (i.e. thermal runaway) state, and explosion and/or combustion occur.
Based on the phenomenon, the invention integrates and sets a pressure sensor on each single battery, dynamically monitors the internal pressure of the single battery, and outputs the internal pressure as an important parameter of a battery system to the BMS for management. Besides, the invention also integrates a temperature sensor on each single battery, and dynamically monitors the temperature of the single battery.
The schematic diagram of the single battery integrated with the air pressure sensor is shown in fig. 1, 1 is a single battery shell, 2 is a battery top cover, 3 and 4 are respectively an anode post and a cathode post, 5 is an explosion-proof valve, 6 is the air pressure sensor, and the air pressure sensor 6 is fixedly arranged (for example, in a thread+sealing ring sealing mode, a welding mode or an adhesion mode) on the battery top cover 2 (preferably on the battery top cover, if the single battery is of other special-shaped structures, such as a soft package battery, other positions can be found for integration). The battery top cover 2, the air pressure sensor 6 and the single battery shell 1 form a sealed cavity, and single battery parts such as a bare cell and the like are installed inside the sealed cavity. The probe part of the air pressure sensor 6 goes deep into the cavity of the single battery, one end of the signal wire is connected with the air pressure sensor, and the other end is connected with a BMU (battery management system slave control board). The temperature sensor may be installed in the same manner as the air pressure sensor. The BMU is connected with the BMS main control board in a wired or wireless mode, and transmits the air pressure signal to the BMS. The signal lines of the temperature sensor may also be connected to the BMU.
The safety management method of a battery system and the safety management device of a battery system of the present invention can be realized in combination with data detected by the air pressure sensor and the temperature sensor. The present invention will be described in detail with reference to the accompanying drawings and examples.
Method example 1:
the embodiment of the invention discloses a safety management method of a battery system, which comprises a temperature filtering method and an air pressure judging method. The battery system in this embodiment includes ten unit batteries, namely a 1# unit battery, a 2# unit battery, a … … unit battery, and a 10# unit battery, and each unit battery is configured with a gas pressure sensor and a temperature sensor, namely a 1# temperature sensor 1 and a 1# gas pressure sensor, a 2# temperature sensor and a 2# gas pressure sensor 2, … …, a 10# temperature sensor, and a 10# gas pressure sensor.
1. Temperature filtering method (as shown in figure 2)
Step one, each temperature sensor transmits the collected temperature signal to the BMS through the BMU in real time, each air pressure sensor transmits the collected air pressure signal to the BMS through the BMU in real time, and sampling periods set by the two sensors can be the same, for example, the sampling periods are all set to be 0.1s. The BMS processes the obtained temperature signals to obtain temperature data, namely temperature values at all sampling moments, judges the temperature data, for example, compares and judges the temperature data in the 1 st to 10 th min, and judges whether abnormal temperature data appear in the group of temperature data, wherein the abnormal temperature data are data with suddenly increased temperature and jump data with suddenly reduced temperature.
Step two, if abnormal temperature data appear in the set of temperature data, for example, jump occurs in the temperature data from the 6 th min to the 7 th min in the temperature signals detected by the 3# temperature sensor, the temperature suddenly rises, and compared with the temperature data at other moments in the set of temperature data, the temperature value is higher, at this time, the BMS processes the air pressure signals from the 6 th min to the 7 th min collected by the 3# air pressure sensor to obtain air pressure data from the 6 th min to the 7 th min, and the air pressure data comprises sampling values at each sampling moment (namely air pressure value P i ) And the air pressure change rate V (represented by subtracting the sampling value at the time of 6min from the sampling value at the time of 7min and dividing by 1 min) in the period of time, and judging whether the air pressure data from 6min to 7min are normal air pressure data.
Step three, if the air pressure value P is within 6min to 7min i The temperature data of the group of air pressure data are normal air pressure data, but the temperature data of the 6 th to 7 th min are suddenly increased, which means that the 3# temperature sensor is problematic in the period of the 6 th to 7 th min, or the temperature signal acquired by the 3# temperature sensor is problematic in the process of transmitting to the BMS, so that the temperature signal of the 6 th to 7 th min received by the BMS is problematic, at this time, the temperature abnormal data corresponding to the temperature signal of the 6 th to 7 th min acquired by the 3# temperature sensor should not be used as the basis for battery high temperature fault alarm, but should be removed, the BMS uploads the removed temperature data as the basic data of the battery system to the cloud monitoring system, and the BMS and the cloud monitoring system effectively monitor the temperature conditions of all the single batteries in the whole life cycle of the battery system. Technicians and after-market personnel use cloud monitoring systems to perform work.
According to the method, the temperature signal acquired by the temperature sensor is corrected according to the air pressure signal acquired by the air pressure sensor, so that the function of filtering abnormal temperature data is achieved, and false alarm is prevented.
2. Air pressure judging method (as shown in figure 3)
In this embodiment, several manually set thresholds are defined, namely, a normal air pressure threshold P1, an abnormal air pressure threshold P2, a leakage air pressure change rate threshold V1, a normal air pressure change rate threshold V2, and an abnormal air pressure change rate threshold V3, and the air pressure states and corresponding alarm levels of the single batteries represented by the air pressures P and the air pressure change rates V of the single batteries in the range (section) defined by the two adjacent thresholds are:
1-1) if the air pressure P of the single battery is smaller than the normal air pressure threshold P1 within a continuous period of time, namely P is smaller than P1, the air pressure of the single battery is in a normal range, and the BMS does not alarm;
1-2) if the air pressure P of the single battery is larger than or equal to the normal air pressure threshold P1 and smaller than the abnormal air pressure threshold P2 within a continuous period of time, namely P1 is smaller than or equal to P2, indicating that the air pressure of the single battery is abnormal, and the single battery has a certain problem, if the internal air pressure of the single battery is continuously increased when the battery system is continuously used at full power under the state, the single battery is possibly inflated and broken, and the BMS gives a secondary alarm;
1-3) if the air pressure P of the single battery is greater than or equal to the abnormal air pressure threshold P2 within a continuous period of time, namely, P is greater than or equal to P2, the air pressure of the single battery is seriously abnormal, and the single battery has serious problems, such as thermal runaway, serious extrusion and abnormal inflation of the single battery, and BMS primary alarm.
2-1) if the air pressure change rate V of the single battery is smaller than the leakage air pressure change rate threshold V1, namely V is smaller than V1, the air pressure change rate of the single battery is too low, the leakage phenomenon of the single battery shell occurs, and the BMS gives an alarm at one stage;
2-2) if the air pressure change rate V of the single battery is greater than or equal to the leakage air pressure change rate threshold V1 and smaller than the normal air pressure change rate threshold V2, namely V1 is smaller than or equal to V2, indicating that the air pressure change rate of the single battery is within the normal range, and the BMS does not alarm;
2-3) if the air pressure change rate V of the single battery is greater than or equal to the normal air pressure change rate threshold V2 and less than the abnormal air pressure change rate threshold V3, namely V2 is less than or equal to V3, indicating that the air pressure change rate of the single battery is abnormal, and giving an alarm to the BMS in the second stage;
2-4) if the air pressure change rate V of the single battery is greater than or equal to the abnormal air pressure change rate threshold V3, namely V is greater than or equal to V3, the air pressure change rate of the single battery is seriously abnormal, the serious conditions such as thermal runaway or external impact are judged, and the BMS gives an alarm to the first level.
And then comprehensively judging whether the air pressure is normal within the 1 st to 2 nd min of the 4 th single battery by combining the air pressure value and the air pressure change rate. The method comprises the following specific steps:
firstly, the 4# air pressure sensor transmits the collected air pressure signals in the 1 st to 2 nd min to the BMS through the BMU in real time, the BMS processes the air pressure signals collected by the 4# air pressure sensor to obtain air pressure data, and the air pressure data comprise sampling values (namely air pressure values P) at all sampling moments and air pressure change rates V (the air pressure change rates in the 1 st to 2 nd min, and the difference value obtained by subtracting the air pressure value in the 1 st min from the air pressure value in the 2 nd min is divided by 1 min).
Step two, judging the air pressure value P of each sampling time within the 1 st to 2 nd min i (i is the moment) and the air pressure change rate V are in which section, and whether to alarm and the corresponding alarm level are determined according to the section.
1) If the air pressure value at each sampling time satisfies P i P1 (i is moment) and V1 is less than or equal to V2, namely, the result corresponding to the interval where the air pressure value is located is not alarm, the result corresponding to the interval where the air pressure change rate is located is not alarm, and the BMS is not alarm;
2) If the maximum value of the air pressure values at each sampling moment meets P1-Pmax < P2 and the air pressure change rate V meets V2-V < V3, namely, the corresponding result of the interval where the air pressure value is located is BMS secondary alarm, and the corresponding result of the interval where the air pressure change rate is located is BMS secondary alarm, the final BMS secondary alarm is performed, and the output and input power of the battery system is limited to be 50% of the rated value at the moment;
3) Under other conditions, the result corresponding to the interval where the air pressure value is located is a BMS primary alarm, the result corresponding to the interval where the air pressure change rate is located is a BMS secondary alarm, the result corresponding to the interval where the air pressure value is located is a BMS primary alarm, the result corresponding to the interval where the air pressure change rate is located is a BMS primary alarm, the final BMS primary alarm is achieved, and the output and input power of the battery system are limited to 0.
Thus, the judgment of the air pressure signals in the 1 st to 2 nd min of the 4# single battery can be completed. According to the method, the judgment of each time period of all the single batteries can be realized, so that the fault single battery can be accurately locked, the single battery level problem or the battery system level problem can be judged, and the occurrence time of the fault can be accurately monitored. The BMS immediately sends fault alarms and data analysis of different grades to monitoring personnel and after-sales service personnel through the cloud monitoring system, so that the time and reasons of fault occurrence can be analyzed by the professional personnel, the after-sales personnel can be guided to overhaul the fault battery according to a fault treatment strategy, products can be improved and prevented in a targeted manner, and the safety of customers is timely contacted in a safe manner, so that larger casualties and property loss are avoided.
In addition, the invention adds air pressure data based on the common temperature data, and the air pressure data has the functions of safety early warning and life prediction. If the safety problem early warning is caused by cell rupture and leakage caused by cell inflation, the safety problem early warning is caused by abnormal rise of air pressure caused by thermal runaway and external collision extrusion, so that the battery management system is favorable for better management of the single battery.
According to the invention, the air pressure sensor is integrally arranged on the battery cover plate, so that the problems that the grouping difficulty of an external strain gauge type sensor system is high, the data precision is low due to the influence of the strength tolerance of the battery shell are solved, and the problems that the module-level pressure sensor is influenced by grouping assembly and the data precision is low due to the influence of the strength of a structural member are solved.
In the third step of the temperature filtering method, the air pressure value and the air pressure change rate are combined to comprehensively determine whether the air pressure data of 6min to 7min are normal air pressure data. As another embodiment, the determination may be performed according to only one of the parameters, for example, the determination may be performed according to only the air pressure value, and at this time, as long as the air pressure value P within 6min to 7min is smaller than the normal air pressure threshold value P1, the air pressure data from 6min to 7min is indicated as normal air pressure data, or the determination may be performed according to only the air pressure change rate, and at this time, the air pressure change rate V is greater than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, the air pressure data from 6min to 7min is indicated as normal air pressure data.
In the second step of the air pressure judging method, the method for determining the final alarm level according to the result corresponding to the interval where the air pressure value is located and the result corresponding to the interval where the air pressure change rate is located is as follows: if the alarm result corresponding to the interval where the air pressure value is located and the alarm result corresponding to the interval where the air pressure change rate is located are consistent, the consistent result is taken as a final alarm level; and if the alarm levels corresponding to the air pressure value and the air pressure change rate are consistent, taking the higher alarm level as the final alarm level. As other embodiments, the lower alarm level of the two may be the final alarm level.
In this embodiment, the final alarm levels are only two, namely the primary alarm and the secondary alarm. As other embodiments, the intervals of the air pressure and the air pressure change rate can be divided into more detailed intervals, the final alarm level can be set to be more, and the input power and the output power of the battery system are correspondingly limited according to the high level of the alarm level.
Method example 2:
the safety management method embodiment of the battery system of the present embodiment differs from that of method embodiment 1 in that the air pressure judgment method and the temperature filtering method are identical. The air pressure judging method of the present embodiment is specifically described below with reference to fig. 4.
In this embodiment, several artificially set thresholds are defined as the normal air pressure threshold P1, the abnormal air pressure threshold P2, the leak air pressure change rate threshold V1, the normal air pressure change rate threshold V2, and the abnormal air pressure change rate threshold V3, respectively. P only for a continuous period of time i When P1 (i is time) is less than or equal to V1 and V2 is less than or equal to V2, the air pressure of the single battery is normal, the BMS does not alarm, the air pressure of the single battery is abnormal under other conditions, and the specific alarm grade is set as follows:
firstly, dividing into 2 layers according to the magnitude of the air pressure value, wherein the layers are respectively as follows: layer 1, P1 is less than or equal to P2; level 2: p is more than or equal to P2. Then, 3 sections are divided according to the magnitude of the air pressure change rate under each layer, and the sections are respectively: interval 1, V < V1; interval 2, V2 is less than or equal to V3; interval 3, V is greater than or equal to V3. That is, the final classification result is 6 classes, and the corresponding alarm levels are shown in fig. 5.
And the number 4 single battery is used for comprehensively judging whether the air pressure is normal within the 1 st to 2 nd minutes by combining the air pressure value and the air pressure change rate. The method comprises the following specific steps:
firstly, the 4# air pressure sensor transmits the collected air pressure signals in the 1 st to 2 nd min to the BMS through the BMU in real time, the BMS processes the air pressure signals collected by the 4# air pressure sensor to obtain air pressure data, and the air pressure data comprise sampling values (namely air pressure values P) at all sampling moments and air pressure change rates V (the air pressure change rates in the 1 st to 2 nd min, and the difference value obtained by subtracting the air pressure value in the 1 st min from the air pressure value in the 2 nd min is divided by 1 min).
Step two, judging the air pressure value P of each sampling time within the 1 st to 2 nd min i (i is the time of day) whether the air pressure change rate V satisfies: the air pressure value at each sampling time satisfies P i P1 is less than or equal to (i is the moment), V1 is less than or equal to V2, if the V1 is less than or equal to V2, the pressure of the 4# monomer is normal, and the battery BMS does not alarm; otherwise, executing the third step.
Step three, firstly, according to the air pressure value P of each sampling time within the 1 st min to the 2 nd min i (i is the moment) at which level is determined, and then at which interval is determined according to the air pressure change rate V, and fig. 5 is combined to determine the final alarm level. When the BMS gives an alarm at one stage, the output and input power of the battery system are limited to 0; at the time of BMS secondary alarm, the battery system output and input power are limited to 50% of rated value.
In this embodiment, the intervals of dividing the air pressure change rate V according to the air pressure change rate V at each level are the same, namely, the air pressure change rate V is divided into three intervals of V < V1, V2 < V3 and V3 at P1 < P2, and the air pressure change rate V is divided into three intervals of V < V1, V2 < V3 and V3 at P2. As other embodiments, the sections divided according to the air pressure change rate V under each layer can be different, for example, the air pressure change rate V is divided into three sections under the condition that P1 is less than or equal to P2, the air pressure change rate V is divided into four sections under the condition that P is less than or equal to P2, and the corresponding alarm level can be set according to actual conditions.
Device example:
this embodiment provides a safety management device of a battery system, as shown in fig. 6, which includes a memory, a processor, and an internal bus, where the processor and the memory communicate with each other through the internal bus.
The processor may be a processor in a BMS, or may be other processors (if the battery system is applied to a whole vehicle, the processor may be a processor in a whole vehicle controller), and may be in a form of a microprocessor MCU, a programmable logic device FPGA, or the like.
The memory can be a memory in the BMS, can also be other memories, and can be various memories for storing information by utilizing an electric energy mode, RAM, ROM and the like; various memories for storing information by using magnetic energy, such as hard disk, floppy disk, magnetic tape, magnetic core memory, bubble memory, USB flash disk, etc.; various memories for optically storing information, such as CDs, DVDs, etc. Of course, there are other ways of memory, such as quantum memory, graphene memory, etc.
The processor may invoke logic instructions in the memory to implement a method of security management for the battery system. The method is described in detail in the method embodiments.
Claims (9)
1. A safety management method of a battery system, comprising a temperature filtering method comprising the steps of:
acquiring temperature data of the battery, and judging whether abnormal temperature data appear in the temperature data;
if abnormal temperature data appear in the temperature data, acquiring air pressure data in the single battery corresponding to the abnormal temperature data, and judging whether the air pressure data are normal air pressure data or not; the air pressure data in the single batteries are obtained by monitoring an air pressure sensor integrated on each single battery in real time; and eliminating abnormal temperature data corresponding to the normal air pressure data, so as to perform safety management of the battery system according to the eliminated temperature data.
2. The method for safety management of a battery system according to claim 1, wherein the air pressure data is an air pressure value, and the corresponding condition for judging that the air pressure data is normal air pressure data is: the air pressure value is smaller than the normal air pressure threshold value P1.
3. The method for safety management of a battery system according to claim 1, wherein the air pressure data is an air pressure change rate, and the corresponding condition for judging that the air pressure data is normal air pressure data is: the air pressure change rate is larger than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, and the leakage air pressure change rate threshold value V1 is smaller than the normal air pressure change rate threshold value V2.
4. The method for safety management of a battery system according to claim 1, wherein the air pressure data includes an air pressure value and an air pressure change rate, and the corresponding condition for judging that the air pressure data is normal air pressure data is: the air pressure value is smaller than the normal air pressure threshold value P1, the air pressure change rate is larger than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, and the leakage air pressure change rate threshold value V1 is smaller than the normal air pressure change rate threshold value V2.
5. The safety management method of a battery system according to claim 1, further comprising an air pressure judgment method comprising the steps of:
acquiring air pressure data of a battery, and judging whether the air pressure of the battery is normal or not according to the air pressure data of the battery;
the air pressure data of the battery are an air pressure value and an air pressure change rate, and the corresponding conditions for determining the normal air pressure of the battery are as follows: the air pressure value in the set time is continuously smaller than the normal air pressure threshold value P1, and the air pressure change rate in the set time is larger than or equal to the leakage air pressure change rate threshold value V1 and smaller than the normal air pressure change rate threshold value V2, wherein the leakage air pressure change rate threshold value V1 is smaller than the normal air pressure change rate threshold value V2; otherwise, the battery air pressure is abnormal.
6. The safety management method of a battery system according to claim 5, wherein when the air pressure of the battery is abnormal, an alarm of a corresponding level is given according to an air pressure value abnormal section in which the air pressure value is located and an air pressure change rate abnormal section in which the air pressure change rate is located; the abnormal air pressure value section is divided into sections according to the abnormal air pressure value, each section corresponds to different alarm levels, and the abnormal air pressure change rate section is divided into sections according to the abnormal air pressure change rate, and each section corresponds to different alarm levels.
7. The method for safety management of a battery system according to claim 5, wherein when the air pressure of the battery is abnormal, determining a level according to the air pressure value, determining a zone according to the air pressure change rate under the level, and giving an alarm of a corresponding level; the method for dividing the hierarchy and the interval comprises the following steps: firstly, dividing a plurality of layers according to the magnitude of the abnormal air pressure value, dividing each layer into a plurality of sections according to the magnitude of the air pressure change rate, and corresponding to the alarm level in each section.
8. The safety management method of a battery system according to claim 6 or 7, wherein the input power and the output power of the battery system are limited according to the level of the alarm when the battery air pressure is abnormal.
9. A safety management device of a battery system, characterized by comprising a memory and a processor for executing instructions stored in the memory to implement the safety management method of a battery system according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010560864.4A CN113823847B (en) | 2020-06-18 | 2020-06-18 | Safety management method and device for battery system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010560864.4A CN113823847B (en) | 2020-06-18 | 2020-06-18 | Safety management method and device for battery system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113823847A CN113823847A (en) | 2021-12-21 |
| CN113823847B true CN113823847B (en) | 2023-09-01 |
Family
ID=78911884
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010560864.4A Active CN113823847B (en) | 2020-06-18 | 2020-06-18 | Safety management method and device for battery system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113823847B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107402107A (en) * | 2016-05-20 | 2017-11-28 | 比亚迪股份有限公司 | For the device for detecting sealability of battery bag, method and battery bag |
| CN109326837A (en) * | 2018-08-20 | 2019-02-12 | 中国电力科学研究院有限公司 | A kind of method and system monitoring lithium battery energy storage battery system thermal management and fire alarm |
| CN109683095A (en) * | 2017-10-18 | 2019-04-26 | 奥动新能源汽车科技有限公司 | The fault detection method and system of battery pack |
| CN110350258A (en) * | 2019-06-17 | 2019-10-18 | 广东恒翼能科技有限公司 | A kind of lithium battery thermal runaway early warning protection system and method |
| WO2020031973A1 (en) * | 2018-08-10 | 2020-02-13 | Ｋｙｂ株式会社 | Fluid leak detecting system |
| CN110920463A (en) * | 2019-12-06 | 2020-03-27 | 华人运通(江苏)技术有限公司 | BMS self-adaptive pressure awakening method and device and storage medium |
| CN111114328A (en) * | 2020-02-27 | 2020-05-08 | 湖北亿纬动力有限公司 | Thermal runaway early warning method, device and system for power storage battery of electric automobile |
| CN111258787A (en) * | 2020-01-07 | 2020-06-09 | 浙江零跑科技有限公司 | Method for identifying abnormal NTC temperature sampling value based on battery pack |
-
2020
- 2020-06-18 CN CN202010560864.4A patent/CN113823847B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107402107A (en) * | 2016-05-20 | 2017-11-28 | 比亚迪股份有限公司 | For the device for detecting sealability of battery bag, method and battery bag |
| CN109683095A (en) * | 2017-10-18 | 2019-04-26 | 奥动新能源汽车科技有限公司 | The fault detection method and system of battery pack |
| WO2020031973A1 (en) * | 2018-08-10 | 2020-02-13 | Ｋｙｂ株式会社 | Fluid leak detecting system |
| CN109326837A (en) * | 2018-08-20 | 2019-02-12 | 中国电力科学研究院有限公司 | A kind of method and system monitoring lithium battery energy storage battery system thermal management and fire alarm |
| CN110350258A (en) * | 2019-06-17 | 2019-10-18 | 广东恒翼能科技有限公司 | A kind of lithium battery thermal runaway early warning protection system and method |
| CN110920463A (en) * | 2019-12-06 | 2020-03-27 | 华人运通(江苏)技术有限公司 | BMS self-adaptive pressure awakening method and device and storage medium |
| CN111258787A (en) * | 2020-01-07 | 2020-06-09 | 浙江零跑科技有限公司 | Method for identifying abnormal NTC temperature sampling value based on battery pack |
| CN111114328A (en) * | 2020-02-27 | 2020-05-08 | 湖北亿纬动力有限公司 | Thermal runaway early warning method, device and system for power storage battery of electric automobile |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113823847A (en) | 2021-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109786872B (en) | Lithium ion battery thermal runaway early warning system and method | |
| CN111060821B (en) | Battery management system and method with early warning function of lithium battery fault | |
| CN110239348A (en) | A kind of electric automobile power battery safety detecting system and method | |
| CN110370984A (en) | Power battery thermal runaway method for early warning | |
| CN108711893A (en) | A kind of power battery thermal runaway early warning system and method | |
| CN107946673B (en) | A kind of the Vehicular dynamic battery management system and its management method of high robust | |
| CN105762432B (en) | A kind of detection method and device of the quick-fried spray state of battery modules | |
| CN113625692B (en) | Electric automobile battery security inspection system based on fault injection | |
| CN111260875B (en) | Fire early warning method and system for valve-controlled lead-acid battery and fault battery positioning device | |
| CN113991200B (en) | Monitoring method and monitoring device for secondary battery, secondary battery and vehicle | |
| CN112599869B (en) | Lithium ion intelligent battery system | |
| CN110376530A (en) | Battery internal short-circuit detection device and method | |
| CN106443490A (en) | A fault diagnosis system for battery short-circuiting | |
| CN117388725B (en) | Early abnormality early warning method based on expansion force of lithium ion battery | |
| CN115842183A (en) | Thermal runaway early warning system and early warning method for lithium ion battery energy storage cabin | |
| CN109683095A (en) | The fault detection method and system of battery pack | |
| CN108258340A (en) | A kind of battery system with gas monitoring apparatus | |
| CN113823847B (en) | Safety management method and device for battery system | |
| US20220255153A1 (en) | Method and system for detecting connection fault of parallel connection cells | |
| US20240106016A1 (en) | Battery cell, battery module, battery pack, energy storage system, and electric vehicle | |
| CN219591479U (en) | Battery system with thermal runaway grading alarm function | |
| CN207925620U (en) | A kind of power battery thermal runaway early warning system | |
| CN117065255A (en) | Fire prevention and control system and method for autonomous controllable electrochemical energy storage station | |
| CN110165316A (en) | A kind of the battery hierarchical control method and system of electric car | |
| CN105966257B (en) | A kind of method of the under-voltage charging of Vehicular dynamic battery |
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 | ||
| CB02 | Change of applicant information |
Address after: No. 6, Yutong Road, Guancheng Hui District, Zhengzhou, Henan 450061 Applicant after: Yutong Bus Co.,Ltd. Address before: No.1, Shibali Heyu Road, Guancheng Hui District, Zhengzhou City, Henan Province Applicant before: ZHENGZHOU YUTONG BUS Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |