CN114274778A - Failure early warning method and device for power battery, vehicle and storage medium - Google Patents
Failure early warning method and device for power battery, vehicle and storage medium Download PDFInfo
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- 238000012163 sequencing technique Methods 0.000 claims description 9
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- 208000032953 Device battery issue Diseases 0.000 claims description 4
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- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
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Abstract
The application discloses failure early warning method and device of power battery, vehicle and storage medium, wherein the method comprises the following steps: acquiring current operation parameters of each single battery in the power battery; detecting whether the current operation parameters meet failure risk conditions or not, and determining the single battery with the failure risk according to the detected failure risk conditions; the method comprises the steps of collecting the current voltage and the current temperature of each single battery in a battery module, and controlling the electric automobile to carry out failure early warning reminding when the current voltage and the current temperature reach failure threshold values. Therefore, the technical problems that the running state of each single battery cannot be accurately controlled, the battery with failure risk in the power battery pack cannot be timely and accurately predicted, the thermal runaway safety accident caused by the failure of the power battery cannot be timely prevented, and the safety of the battery and the reliability of a vehicle cannot be guaranteed in the related technology are solved.
Description
Technical Field
The application relates to the technical field of battery safety, in particular to a failure early warning method and device for a power battery, a vehicle and a storage medium.
Background
In the related art, most of the power battery failure early warning methods perform failure judgment of a software process through parameters such as real-time temperature and real-time voltage of a battery module acquired by a battery management system in real time, judge that a battery fails when the real-time temperature or the real-time voltage is greater than a certain value, and feed back the running condition of the battery to a user in real time according to the fault level of the battery.
However, in order to meet the requirement of the continuous discharge pulse discharge power of the whole electric vehicle, the voltage difference judgment processing is not generally performed or the voltage difference setting threshold is increased in the vehicle discharge stage, so that the battery management system cannot accurately control the operation state of each single battery, the battery with failure risk in the power battery pack cannot be predicted timely and accurately, the thermal runaway safety accident caused by the failure of the power battery cannot be prevented timely, the safety of the battery and the reliability of the vehicle cannot be ensured, and great potential safety hazards exist.
Content of application
The application provides a failure early warning method and device for a power battery, a vehicle and a storage medium, and aims to solve the problems that a battery management system cannot accurately control the operation state of each battery, so that the power battery to be failed cannot be effectively monitored and the like.
The embodiment of the first aspect of the application provides a failure early warning method for a power battery, which comprises the following steps: acquiring current operation parameters of each single battery in the power battery; detecting whether the current operation parameters meet failure risk conditions or not, and determining the single battery which meets the failure risk conditions to be the battery module with failure risk; and acquiring the current voltage and the current temperature of each single battery in the battery module, and controlling the electric automobile to carry out failure early warning reminding when the current voltage and the current temperature reach failure threshold values.
Optionally, in an embodiment of the present application, before determining whether the current operating parameter meets the failure risk condition, the method further includes: acquiring the whole vehicle performance of the electric vehicle and the actual operation condition of the power battery; and matching the failure risk condition with the whole vehicle performance and the actual operation condition.
Optionally, in an embodiment of the present application, the detecting whether the current operating parameter meets a failure risk condition includes: determining the current battery sequence of the power battery according to the whole vehicle performance and the actual operation condition; and comparing the current battery sequence with the preset battery sequence of the failure risk condition, and judging whether the failure risk condition is met or not based on the comparison result.
Optionally, in an embodiment of the present application, determining whether the failure risk condition is met based on the comparison result includes: acquiring an average temperature value and/or an average voltage value of the power battery; and if the average temperature value is greater than a preset temperature value and/or the average voltage value is greater than the preset voltage value, and the difference value between the current battery sorting value and the preset battery sorting value of any single battery is greater than a preset difference value, judging that the failure risk condition is met.
Optionally, in an embodiment of the present application, the obtaining an average temperature value and/or an average voltage value of the power battery includes: screening out the highest single battery voltage and/or the highest single battery temperature of the power battery; calculating the average temperature value and/or the average voltage value from the battery voltages and/or the battery temperatures of the remaining unit batteries.
An embodiment of a second aspect of the present application provides a failure early warning device for a power battery, including: the acquisition module is used for acquiring the current operation parameters of each single battery in the power battery; the detection module is used for detecting whether the current operation parameters meet failure risk conditions or not and determining the battery module with failure risk from the single batteries which meet the failure risk conditions; and the early warning module is used for acquiring the current voltage and the current temperature of each single battery in the battery module, and controlling the electric automobile to carry out failure early warning reminding when the current voltage and the current temperature reach failure threshold values.
Optionally, in an embodiment of the present application, the method further includes: and the matching module is used for acquiring the whole vehicle performance of the electric vehicle and the actual operation condition of the power battery before judging whether the current operation parameters meet the failure risk condition, and matching the failure risk condition by the whole vehicle performance and the actual operation condition.
Optionally, in an embodiment of the present application, the detection module includes: the sequencing unit is used for determining the current battery sequencing of the power battery according to the whole vehicle performance and the actual operation condition; and the comparison unit is used for comparing the current battery sequence with the preset battery sequence of the failure risk condition and judging whether the failure risk condition is met or not based on the comparison result.
An embodiment of a third aspect of the present application provides a vehicle, comprising: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the failure early warning method of the power battery according to the embodiment.
A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the failure warning method for a power battery according to the foregoing embodiment.
According to the embodiment of the application, the single batteries meeting the failure risk condition can be identified, so that the battery module with the failure risk is determined, the current voltage and the current temperature of each single battery in the battery module are monitored, failure early warning reminding is carried out when a failure threshold value is reached, the accuracy of aging early warning is effectively guaranteed, the safety and the reliability of the batteries are improved, and the safety of vehicles is further guaranteed. Therefore, the technical problems that the running state of each single battery cannot be accurately controlled, the battery with failure risk in the power battery pack cannot be timely and accurately predicted, the thermal runaway safety accident caused by the failure of the power battery cannot be timely prevented, and the safety of the battery and the reliability of a vehicle cannot be guaranteed in the related technology are solved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a failure early warning method for a power battery according to an embodiment of the present disclosure;
fig. 2 is a flow chart of a method for early warning of failure of a power battery according to an embodiment of the present application;
fig. 3 is a block diagram illustrating a failure warning device for a power battery according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a failure warning method and device for a power battery, a vehicle, and a storage medium according to embodiments of the present application with reference to the drawings. In view of the above-mentioned problems, the battery management system mentioned in the background art center cannot accurately control the operation state of each battery, thereby effectively monitoring the power battery which is about to fail, the application provides a failure early warning method of the power battery, in the method, the single batteries meeting the failure risk condition can be identified, so as to determine the battery module with failure risk, so as to monitor the current voltage and the current temperature of each single battery in the battery module, and carry out failure early warning reminding when reaching a failure threshold value, therefore, the technical problems that the running state of each single battery cannot be accurately controlled, the battery with failure risk in the power battery pack cannot be timely and accurately predicted, the thermal runaway safety accident caused by the failure of the power battery cannot be timely prevented, and the safety of the battery and the reliability of a vehicle cannot be guaranteed in the related technology are solved.
Specifically, fig. 1 is a schematic flow chart of a failure early warning method for a power battery provided in an embodiment of the present application.
As shown in fig. 1, the failure early warning method for the power battery includes the following steps:
in step S101, the current operating parameters of each battery cell in the power battery are collected.
It can be understood that the power battery provides a power source for the electric vehicle, and the battery structure of the power battery pack can be divided into three layers: battery monomer, battery module and power battery system. Wherein the battery cell is the smallest unit constituting the battery system. After the battery management system is powered on, the current operating parameters of each single battery are collected in real time, for example, parameters for failure determination, such as voltage, temperature, or voltage and temperature of each single battery, are collected by the corresponding sensor, and no specific limitation is made herein.
In step S102, it is detected whether the current operating parameters satisfy the failure risk condition, and the battery module having the failure risk is determined from the single battery detected to satisfy the failure risk condition.
The technical personnel in the field can understand that the embodiment of the application can acquire the operation parameters of the single battery in real time, so as to judge whether the operation parameters have failure risks, and when the operation parameters are judged to have the failure risks, the battery module to which the single battery belongs is determined.
There is a risk of failure, i.e. the operating parameters of the individual cells approach a failure threshold, but have not yet failed. For the single batteries with failure risks, the single batteries need to be monitored in real time, so that failure information of the single batteries can be guaranteed to be obtained at the first time, and the running safety of the power battery is further improved. It can be understood that inconsistency may occur due to different positions of the single batteries, different heat dissipation capabilities, and the like, and when a certain single battery has a failure risk, the probability that the operating parameters of other single batteries near the single battery are close to the failure risk is also greatly increased due to similar environments, so it is necessary to further determine the battery module to which the single battery having the failure risk belongs. After the battery module with failure risk is determined, the single batteries of the module are monitored in real time, compared with all the single batteries in the high-frequency real-time monitoring power battery, the real-time monitoring on a certain module is more targeted, the failure early warning accuracy is improved, the data comparison time is saved, the probability of error generation due to simultaneous comparison of a large amount of data is reduced, the electric quantity can be saved, and the cruising ability of the power battery is ensured.
Optionally, in an embodiment of the present application, before determining whether the current operating parameter meets the failure risk condition, the method further includes: acquiring the whole vehicle performance of the electric vehicle and the actual operation condition of a power battery; and matching failure risk conditions by the performance of the whole vehicle and the actual operation condition.
In the actual implementation, different operating conditions exist for the electric vehicle: such as long-distance flat running condition, gradient running condition or peak-hour congestion condition, the voltage and current of the power battery can be changed. The single risk judgment standard cannot be applied to the detection of the states of the power batteries under different working conditions, and failure misjudgment is easily caused. The embodiment of the application brings the whole vehicle performance of the electric vehicle and the actual operation working condition of the power battery into judgment, and forms a risk judgment standard matched with the whole vehicle performance and the actual operation working condition of the power battery, namely a failure risk condition, so that the accuracy of the risk judgment of the power battery is increased.
For example, the database can be pre-established in the embodiment of the application, so that the database is inquired by taking the performance and the operating condition of the whole vehicle as indexes to match the corresponding failure risk conditions.
Optionally, in an embodiment of the present application, detecting whether the current operating parameter meets the failure risk condition includes: determining the current battery sequencing of the power batteries according to the performance of the whole vehicle and the actual operation condition; and comparing the current battery sequence with the preset battery sequence of the failure risk condition, and judging whether the failure risk condition is met or not based on the comparison result.
As a possible implementation manner, taking a lithium battery as an example, when the lithium ion power battery of the electric vehicle normally works or is in a designated charging/discharging power state, the sequence of the operation parameters of each battery has a certain regularity, that is, certain parameter differences exist between some fixed batteries and other peripheral batteries. The embodiment of the application records and updates the operation parameters of each battery in real time by combining the performance of the whole vehicle and the actual operation condition through the battery management system, compares the recorded data with the preset failure risk condition battery sequencing, and judges whether the battery has failure risk according to the comparison result.
Optionally, in an embodiment of the present application, determining whether the failure risk condition is satisfied based on the comparison result includes: acquiring an average temperature value and/or an average voltage value of the power battery; and if the average temperature value is greater than the preset temperature value and/or the average voltage value is greater than the preset voltage value, and the difference value between the current battery sorting value and the preset battery sorting value of any single battery is greater than the preset difference value, judging that the failure risk condition is met.
Specifically, the temperature value and the voltage value of the power battery and the sequence of the parameter data of the single battery can be preset in the battery management system. The parameter data of the single battery is changed in real time, so that the sequencing of the single battery is changed continuously within a certain range. When the average temperature value and the voltage value of the power battery are larger than preset values, and any single battery has obvious change and is in a descending trend in data sorting, and after the average temperature value and the voltage value exceed a program set threshold value, the single battery and the module where the single battery is located can be judged to have failure risks.
In step S103, the current voltage and the current temperature of each battery cell in the battery module are collected, and when the current voltage and the current temperature reach the failure threshold, the electric vehicle is controlled to perform failure early warning reminding.
As can be understood by those skilled in the art, the voltage and the current of the battery are basic parameters for determining the use state and the performance of the battery, and the temperature and the current intensity of the battery are in direct proportion, so that the failure early warning determination can be performed on the state of the battery through the current voltage and the current temperature of the single battery.
For example, when the electric vehicle is in a continuous pulse discharge stage, the battery management system collects the operation parameters of the single batteries of the power battery pack in real time, and obtains the voltage and the temperature of the single batteries by setting a period T as the operation parameter temperature and the voltage data updating time of the power batteries. When the current voltage and the current temperature of the single battery exceed a certain safety range, namely reach a failure threshold value, the embodiment of the application can control the electric automobile to carry out failure early warning.
It should be noted that the failure threshold may be set by a person skilled in the art according to practical situations, and is not limited in particular here.
Optionally, in an embodiment of the present application, obtaining an average temperature value and/or an average voltage value of the power battery includes: screening out the highest single battery voltage and/or the highest single battery temperature of the power battery; an average temperature value and/or an average voltage value is calculated from the battery voltages and/or the battery temperatures of the remaining unit batteries.
In the actual implementation process, when the voltage and the temperature value of the power battery are obtained, there may be acquisition abnormality, which causes abnormality of parameter values of individual single batteries, and therefore, when the average temperature value and the average voltage value of the power battery are obtained, abnormal data need to be removed. Meanwhile, in order to obtain the average value of the voltage and the temperature under the normal working state, namely the average value of the voltage and the temperature under the condition of no battery failure risk, when the average temperature value and the average voltage value are calculated, the highest single battery voltage value and the lowest temperature value are screened out after abnormal data acquisition is firstly screened out.
The principle of the method for early warning the failure of a power battery according to the embodiment of the present application is described in detail below with a specific embodiment.
As shown in fig. 2, the method of the embodiment of the present application includes the following steps:
step S201: BMS (Battery management system) is powered up.
Step S202: and acquiring and updating the operation parameters of each single battery at intervals of T, wherein the operation parameters comprise the current voltage value and the current temperature value.
Step S203: and (4) judging whether each single battery has failure risk, namely whether the operation parameters of the single batteries reach a failure risk threshold value, and if not, repeating the step (S202).
Step S204: if the operation parameters of the single battery are abnormal, namely the operation parameters of the single battery reach a failure risk threshold value, the battery with failure risk is judged to exist, and the battery management system determines that the module where the battery is located is the module with failure risk. The battery management system judges that the failure risk module is continuously updated along with the continuous data acquisition, all the single batteries in the failure risk module are identified as failure early warning key tracking batteries by the battery management system, so that the battery management system has pertinence to the monitoring of battery failure, the accuracy of a monitoring result is increased, the calculated amount can be reduced compared with the real-time monitoring of all the single batteries, the electric quantity is saved, and the cruising ability of the battery is ensured.
Step S205: data is collected and the batteries with failure risks are tracked. The battery management system calculates the average value of the voltage and the temperature of the failure risk module in the normal working state, and the average value is used as a reference to sequentially sort all the single batteries in the module in an ascending order, so that the battery management system can conveniently judge the failure of the failure risk battery.
Step S206: and judging whether the battery tracked by the data acquisition meets the failure judgment standard, and if not, repeating the step S205. Under the same charging and discharging power state, if the voltage and temperature sequence of the battery with failure risk does not have a descending trend or has no obvious change with the average value, the battery management system does not make judgment on the battery and continuously tracks the data change of the battery.
Step S207: if the tracked battery with the failure risk reaches the failure standard, the tracked battery is judged as a failed battery. Under the same charging and discharging power state, if the voltage and the temperature of the battery with failure risk are obviously reduced or the difference value between the voltage and the temperature and the average value is obviously changed in the specified charging and discharging power state, the battery management system responds to the failed battery judging step, and when the change trend or the difference value meets the set condition, the battery is judged to be the failed battery.
Step S208: the failed battery is reported to the whole vehicle end and a T-BOX (Telematics BOX), and a user can process the failed battery in time according to alarm information of an instrument or a remote end, so that safety accidents caused by out-of-control battery are effectively avoided.
According to the failure early warning method of the power battery, the single batteries meeting the failure risk condition can be identified, so that the battery module with the failure risk is determined, the current voltage and the current temperature of each single battery in the battery module are monitored, and the failure early warning prompt is carried out when the failure threshold value is reached.
Next, a failure warning device for a power battery according to an embodiment of the present application will be described with reference to the drawings.
Fig. 3 is a block diagram schematically illustrating a failure warning device for a power battery according to an embodiment of the present disclosure.
As shown in fig. 3, the failure warning device 10 for a power battery includes: the system comprises an acquisition module 100, a detection module 200 and an early warning module 300.
And the acquisition module 100 is used for acquiring the current operating parameters of each single battery in the power battery.
And the detection module 200 is configured to detect whether the current operation parameters meet the failure risk condition, and determine that the battery module with the failure risk exists in the single battery detected to meet the failure risk condition.
The early warning module 300 is configured to collect current voltage and current temperature of each battery cell in the battery module, and control the electric vehicle to perform failure early warning reminding when the current voltage and the current temperature reach failure threshold values.
Optionally, in an embodiment of the present application, the method further includes: and the matching module is used for acquiring the whole vehicle performance of the electric vehicle and the actual operation condition of the power battery before judging whether the current operation parameters meet the failure risk condition, and matching the failure risk condition according to the whole vehicle performance and the actual operation condition.
Optionally, in an embodiment of the present application, the detection module 200 includes: a sorting unit and a comparison unit.
And the sequencing unit is used for determining the current battery sequencing of the power batteries according to the performance of the whole vehicle and the actual operation condition.
And the comparison unit is used for comparing the current battery sequence with the preset battery sequence of the failure risk condition and judging whether the failure risk condition is met or not based on the comparison result.
It should be noted that the explanation of the embodiment of the failure early warning method for a power battery is also applicable to the failure early warning device for a power battery of the embodiment, and is not repeated here.
According to the failure early warning device of the power battery, which is provided by the embodiment of the application, the single batteries meeting failure risk conditions can be identified, so that the battery module with failure risk is determined, the current voltage and the current temperature of each single battery in the battery module are monitored, failure early warning reminding is carried out when a failure threshold value is reached, and therefore the technical problems that the running state of each single battery cannot be accurately mastered in the related technology, the battery with failure risk in the power battery pack cannot be timely and accurately predicted, thermal runaway safety accidents caused by failure of the power battery cannot be timely prevented, and the safety of the battery and the reliability of a vehicle cannot be guaranteed are solved.
Fig. 4 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The vehicle may include:
The processor 402 executes the program to implement the failure warning method for the power battery provided in the above embodiments.
Further, the vehicle further includes:
a communication interface 403 for communication between the memory 401 and the processor 402.
A memory 401 for storing computer programs executable on the processor 402.
If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
Alternatively, in practical implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 may complete communication with each other through an internal interface.
The processor 402 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
The embodiment also provides a computer readable storage medium, on which a computer program is stored, wherein the program is executed by a processor to implement the above failure warning method for a power battery.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
Claims (10)
1. A failure early warning method for a power battery is characterized by comprising the following steps:
acquiring current operation parameters of each single battery in the power battery;
detecting whether the current operation parameters meet failure risk conditions or not, and determining the single battery which meets the failure risk conditions to be the battery module with failure risk; and
the method comprises the steps of collecting the current voltage and the current temperature of each single battery in the battery module, and controlling the electric automobile to carry out failure early warning reminding when the current voltage and the current temperature reach failure threshold values.
2. The method of claim 1, further comprising, prior to determining whether the current operating parameter satisfies the failure risk condition:
acquiring the whole vehicle performance of the electric vehicle and the actual operation condition of the power battery;
and matching the failure risk condition with the whole vehicle performance and the actual operation condition.
3. The method of claim 1 or 2, wherein said detecting whether the current operating parameter satisfies a failure risk condition comprises:
determining the current battery sequence of the power battery according to the whole vehicle performance and the actual operation condition;
and comparing the current battery sequence with the preset battery sequence of the failure risk condition, and judging whether the failure risk condition is met or not based on the comparison result.
4. The method of claim 3, wherein determining whether the failure risk condition is satisfied based on the comparison comprises:
acquiring an average temperature value and/or an average voltage value of the power battery;
and if the average temperature value is greater than a preset temperature value and/or the average voltage value is greater than the preset voltage value, and the difference value between the current battery sorting value and the preset battery sorting value of any single battery is greater than a preset difference value, judging that the failure risk condition is met.
5. The method according to claim 4, wherein the obtaining of the average temperature value and/or the average voltage value of the power battery comprises:
screening out the highest single battery voltage and/or the highest single battery temperature of the power battery;
calculating the average temperature value and/or the average voltage value from the battery voltages and/or the battery temperatures of the remaining unit batteries.
6. The utility model provides a power battery's failure early warning device which characterized in that includes following:
the acquisition module is used for acquiring the current operation parameters of each single battery in the power battery;
the detection module is used for detecting whether the current operation parameters meet failure risk conditions or not and determining the battery module with failure risk from the single batteries which meet the failure risk conditions; and
the early warning module is used for collecting the current voltage and the current temperature of each single battery in the battery module, and controlling the electric automobile to carry out failure early warning reminding when the current voltage and the current temperature reach failure threshold values.
7. The apparatus of claim 6, further comprising:
and the matching module is used for acquiring the whole vehicle performance of the electric vehicle and the actual operation condition of the power battery before judging whether the current operation parameters meet the failure risk condition, and matching the failure risk condition by the whole vehicle performance and the actual operation condition.
8. The apparatus of claim 6 or 7, wherein the detection module comprises:
the sequencing unit is used for determining the current battery sequencing of the power battery according to the whole vehicle performance and the actual operation condition;
and the comparison unit is used for comparing the current battery sequence with the preset battery sequence of the failure risk condition and judging whether the failure risk condition is met or not based on the comparison result.
9. A vehicle, characterized by comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the failure early warning method of a power battery according to any one of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored, the program being executed by a processor for implementing a method for failure warning of a power cell according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111547711.7A CN114274778A (en) | 2021-12-16 | 2021-12-16 | Failure early warning method and device for power battery, vehicle and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111547711.7A CN114274778A (en) | 2021-12-16 | 2021-12-16 | Failure early warning method and device for power battery, vehicle and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114460483A (en) * | 2022-04-14 | 2022-05-10 | 深圳市高斯宝电气技术有限公司 | Battery pack safety performance prediction method |
| CN114879062A (en) * | 2022-05-30 | 2022-08-09 | 东莞新能安科技有限公司 | Battery short circuit detection method, device and equipment |
| CN115320385A (en) * | 2022-07-28 | 2022-11-11 | 重庆金康赛力斯新能源汽车设计院有限公司 | Thermal runaway early warning method, device, equipment and storage medium of vehicle battery |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106654403A (en) * | 2015-10-30 | 2017-05-10 | 北汽福田汽车股份有限公司 | Method for preventing battery failure false alarm and apparatus thereof |
| CN108248389A (en) * | 2017-12-18 | 2018-07-06 | 清华大学 | Power battery of electric motor car group security method, system and computer readable storage medium |
| CN110861531A (en) * | 2019-11-27 | 2020-03-06 | 四川野马汽车股份有限公司 | Power battery failure early warning system and method |
| 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 |
| CN111653840A (en) * | 2020-06-08 | 2020-09-11 | 中国第一汽车股份有限公司 | Early warning method, device, equipment and storage medium |
| CN112549965A (en) * | 2019-09-26 | 2021-03-26 | 广州汽车集团股份有限公司 | Power battery thermal runaway processing method and device and electric automobile |
-
2021
- 2021-12-16 CN CN202111547711.7A patent/CN114274778A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106654403A (en) * | 2015-10-30 | 2017-05-10 | 北汽福田汽车股份有限公司 | Method for preventing battery failure false alarm and apparatus thereof |
| CN108248389A (en) * | 2017-12-18 | 2018-07-06 | 清华大学 | Power battery of electric motor car group security method, system and computer readable storage medium |
| CN112549965A (en) * | 2019-09-26 | 2021-03-26 | 广州汽车集团股份有限公司 | Power battery thermal runaway processing method and device and electric automobile |
| CN110861531A (en) * | 2019-11-27 | 2020-03-06 | 四川野马汽车股份有限公司 | Power battery failure early warning system and method |
| 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 |
| CN111653840A (en) * | 2020-06-08 | 2020-09-11 | 中国第一汽车股份有限公司 | Early warning method, device, equipment and storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114460483A (en) * | 2022-04-14 | 2022-05-10 | 深圳市高斯宝电气技术有限公司 | Battery pack safety performance prediction method |
| CN114879062A (en) * | 2022-05-30 | 2022-08-09 | 东莞新能安科技有限公司 | Battery short circuit detection method, device and equipment |
| CN115320385A (en) * | 2022-07-28 | 2022-11-11 | 重庆金康赛力斯新能源汽车设计院有限公司 | Thermal runaway early warning method, device, equipment and storage medium of vehicle battery |
| CN115320385B (en) * | 2022-07-28 | 2024-04-30 | 重庆金康赛力斯新能源汽车设计院有限公司 | Thermal runaway early warning method, device, equipment and storage medium for vehicle battery |
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