CN108445416B - Battery failure detection system, method and device and automobile - Google Patents
Battery failure detection system, method and device and automobile Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract
The invention provides a battery failure detection system, method and device and an automobile, and relates to the technical field of automobiles. The battery failure detection system includes: the stress detection device, the strain gauge connected with the stress detection device, and the processor connected with the strain gauge; the stress detection device is used for monitoring the stress on the surface of the battery, generating stress data and transmitting the stress data to the strain gauge; the processor receives stress data transmitted by the strain gauge and determines whether the battery fails according to the stress data. The scheme of the invention solves the problems of long time consumption and inconvenient treatment in the existing process of judging the battery failure.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a battery failure detection system, a method and a device and an automobile.
Background
With the increase of economic level, more and more people choose to buy the car as the transportation tool. Among them, new energy vehicles are gradually favored by the public because they use non-conventional vehicle fuel as a power source, which can reduce the damage to the environment while ensuring the driving performance.
At present, new energy automobiles mostly use electric energy as main power. The power lithium ion battery is increasingly applied to new energy automobiles due to the advantages of high working voltage, high power density and energy density, long charging and discharging life, no memory effect and the like. However, as the new energy automobile has complex use conditions, variable driving conditions and high battery use frequency, and is often in a heavy-current discharge state, the safety problem caused by the failure of the power lithium ion battery is more and more emphasized by people.
However, in the conventional method, accelerated life tests need to be performed at multiple temperatures at 60% and 80% SOC (State of Charge) of the lithium ion battery to obtain respective variation relationships between the battery resistance and the temperature and the SOC, and finally the State of health of the battery is determined by a complete empirical model.
Disclosure of Invention
The invention aims to provide a battery failure detection system, a battery failure detection method, a battery failure detection device and an automobile, and aims to solve the problems of long time consumption and inconvenience in processing in the existing battery failure judgment process.
To achieve the above object, an embodiment of the present invention provides a battery failure detection system, including:
the stress detection device, the strain gauge connected with the stress detection device, and the processor connected with the strain gauge; wherein the content of the first and second substances,
the stress detection device is used for monitoring the stress on the surface of the battery, generating stress data and transmitting the stress data to the strain gauge;
the processor receives stress data transmitted by the strain gauge and determines whether the battery fails according to the stress data.
According to the battery failure detection system provided by the embodiment of the invention, the stress on the surface of the battery to be detected is monitored in real time through the stress detection device, then the generated stress data is transmitted to the strain gauge, the strain gauge transmits the stress data to the processor, and finally the processor analyzes according to the stress data to determine whether the battery fails. Therefore, the health state of the battery can be timely and effectively known according to the acquired stress data through real-time monitoring of the surface stress of the battery, and the method is quicker, more accurate and more convenient.
Wherein determining whether the battery has failed based on the stress data comprises:
obtaining stress change information of the surface of the battery according to the stress data;
and determining whether the battery fails according to the stress change information.
Wherein the stress variation information includes: the slope of the stress over time.
Wherein determining whether the battery is failed according to the stress variation information includes:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
Wherein the battery failure detection system further comprises:
and the warning device receives a warning instruction sent by the processor after the battery is determined to be invalid, and generates warning information according to the warning instruction.
Wherein the alarm information includes: text, images and/or sound.
Wherein the stress detection device is at least one strain patch.
Wherein, the strain patch is a resistance strain gauge.
In order to achieve the above object, an embodiment of the present invention further provides a battery failure detection method, including:
receiving stress data transmitted by a strain gauge, wherein the strain gauge is used for receiving the stress data generated and transmitted by a stress detection device when monitoring the stress on the surface of the battery;
determining whether the battery has failed based on the stress data.
Wherein determining whether the battery has failed based on the stress data comprises:
obtaining stress change information of the surface of the battery according to the stress data;
and determining whether the battery fails according to the stress change information.
Wherein the stress variation information includes: the slope of the stress over time.
Wherein determining whether the battery is failed according to the stress variation information includes:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
The battery failure detection method further comprises the following steps:
and sending an alarm instruction to an alarm device after the battery is determined to be invalid.
In order to achieve the above object, an embodiment of the present invention further provides a battery failure detection apparatus, including:
the receiving module is used for receiving stress data transmitted by a strain gauge, wherein the strain gauge is used for receiving the stress data generated and transmitted by the stress detection device when monitoring the stress on the surface of the battery;
a determination module to determine whether the battery has failed based on the stress data.
To achieve the above object, embodiments of the present invention also provide an automobile including the battery failure detection system as described above.
To achieve the above object, an embodiment of the present invention further provides an automobile, including a processor, a memory, and a computer program stored on the memory and operable on the processor, wherein the computer program, when executed by the processor, implements the steps of the battery failure detection method as described above.
Drawings
FIG. 1 is a schematic diagram of a battery failure detection system according to an embodiment of the present invention;
FIG. 2 is a second schematic structural diagram of a battery failure detection system according to an embodiment of the present invention;
FIG. 3 is a flow chart of steps of a battery failure detection method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a battery failure detection apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a battery failure detection system aiming at the problems of long time consumption and inconvenient treatment in the existing battery health state judgment process, which realizes quick and convenient battery failure detection and ensures the use safety of a battery system.
As shown in fig. 1, a battery failure detection system according to an embodiment of the present invention includes:
a stress detection device 110, a strain gauge 120 connected to the stress detection device 110, and a processor 130 connected to the strain gauge 120; wherein the content of the first and second substances,
the stress detection device 110 is used for monitoring the stress on the surface of the battery, generating stress data and transmitting the stress data to the strain gauge 120;
the processor 130 receives the stress data transmitted by the strain gauge 120 and determines whether the battery has failed based on the stress data.
In the battery failure detection system according to the embodiment of the present invention, the stress on the surface of the battery to be detected is monitored in real time by the stress detection device 110, then the generated stress data is transmitted to the strain gauge 120, the strain gauge 120 transmits the stress data to the processor 130, and finally the processor 130 analyzes the stress data to determine whether the battery fails. Therefore, the health state of the battery can be timely and effectively known according to the acquired stress data through the real-time monitoring of the stress detection device 110, and the method is faster, more accurate and more convenient.
Wherein the processor 130 determines whether the battery has failed based on the stress data, comprising:
obtaining stress change information of the surface of the battery according to the stress data;
and determining whether the battery fails according to the stress change information.
Here, after receiving the stress data transmitted by the strain gauge 120, the processor 130 further obtains stress variation information of the battery surface based on the stress data, and then determines whether the battery fails according to the stress variation information.
In the embodiment of the invention, by monitoring the stress on the surface of the battery, the failure of the battery can be judged when the change slope of the stress is rapidly increased. Optionally, the stress variation information includes: the slope of the stress over time.
In the embodiment of the present invention, the processor 130 may construct a stress-time curve according to the obtained stress data, and then obtain a slope of the stress along with the time from the curve as stress change information, so as to determine whether the battery fails. Of course, in order to determine whether the change slope of the stress is rapidly increased, the stress change information is not limited to the slope of the stress with time, but also includes the time corresponding to the sampling point, the stress magnitude, and the like, which are not listed here.
Optionally, determining whether the battery fails according to the stress variation information includes:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
Here, since the first period is equal to the second period and the ending time point of the first period is less than or equal to the starting time point of the second period, when it is known that the first variation value is less than the second variation value, it can be known whether the slope of the stress variation with time is rapidly increased.
In addition, in this embodiment, to ensure the validity of the sampled data, multiple sets of data may be obtained in time sequence, such as a slope change value a of (10:00-10:05) and a slope change value B of (10:05-10: 10); a slope change value C of (10:10-10:15) and a slope change value D of (10:15-10: 20). The magnitudes of a and B, B and C, C and D are then compared and a battery failure is determined if the slope change values are both increasing over time.
Of course, in addition to the above-mentioned comparison of the slope change values in the same time period to determine whether the slope is rapidly increased, it is also possible to determine whether the time consumed by the same slope change value is shorter. If the slope change value from the second time to the third time is equal to P (the first time is less than the second time, and the second time is less than the third time) according to the slope change value P from the first time to the second time, comparing the time length T1 from the first time to the second time with the time length T2 from the second time to the third time, and if T1> T2, determining that the battery is out of service.
In addition, as shown in fig. 2, the battery failure detection system according to the embodiment of the present invention further includes:
and the alarm device 140, wherein the alarm device 140 receives an alarm instruction sent by the processor 130 after determining that the battery is out of service, and generates alarm information according to the alarm instruction.
Here, after the processor 130 determines that the battery is out of service through the above steps, it sends an alarm instruction to the alarm device 140 to alarm, so that the user can update the battery in time, and the danger caused by the continued use of the out-of-service battery is avoided.
Optionally, the alarm information includes: text, images and/or sound.
Thus, the warning device 140 may be an on-board display, indicator lights and/or buzzer, etc. to warn the driver and passengers of the battery failure in the form of text, images and/or sounds.
In this embodiment, optionally, the stress detection means is at least one strain patch.
Thus, the preset position on the surface of the battery can be polished, scribed and cleaned, so that the strain patch can be firmly and smoothly adhered to the corresponding position after the strain patch is ensured, solidification is required after the strain patch is adhered, the adhesion quality is checked, and the strain patch can be connected with the strain gauge 120 through the wiring terminal after the strain patch is qualified. Wherein, the pasting position of foil gage in the battery is: the intersection point of the face diagonal lines of the square battery and the equivalent position on the face; the center and the edge of the round battery are in equivalent positions; the upper, middle and lower positions of the cylindrical battery and the equivalent positions of the edges; the battery pack is on the side of each cell.
Optionally, the strain patch is a resistive strain gauge.
The resistance strain gauge can adapt to the heating temperature of the battery, does not influence detection data, and guarantees the detection effectiveness.
In summary, the battery failure detection system according to the embodiment of the present invention mainly includes a stress detection device, a strain gauge and a processor, and the stress detection device 110 is used to monitor the stress on the surface of the battery to be detected in real time, generate stress data and transmit the stress data to the strain gauge 120, the strain gauge 120 transmits the stress data to the processor 130, and the processor 130 analyzes the stress data to determine whether the battery fails. Therefore, the health state of the battery can be timely and effectively known according to the acquired stress data through the real-time monitoring of the stress detection device 110, and the method is faster, more accurate and more convenient.
As shown in fig. 3, a battery failure detection method according to an embodiment of the present invention includes:
According to the battery failure detection method provided by the embodiment of the invention, the stress on the surface of the battery is monitored by the stress detection device, the stress data transmitted by the strain gauge is received after the stress data is generated and transmitted to the strain gauge, then whether the detected battery fails or not is determined directly according to the stress data, and the health state of the battery can be known timely and effectively according to the obtained stress data through the real-time monitoring of the stress detection device, so that the method is quicker, more accurate and more convenient.
Optionally, step 302, includes:
obtaining stress change information of the surface of the battery according to the stress data;
and determining whether the battery fails according to the stress change information.
Here, after receiving the stress data transmitted by the strain gauge, stress change information of the surface of the battery is further obtained based on the stress data, and then whether the battery fails or not is determined according to the stress change information.
In the embodiment of the invention, by monitoring the stress on the surface of the battery, the failure of the battery can be judged when the change slope of the stress is rapidly increased. Optionally, the stress variation information includes: the slope of the stress over time.
Here, a stress-time curve may be constructed from the obtained stress data, and then a slope of the change of stress with time may be obtained from the curve as stress change information for determining whether the battery has failed. Of course, in order to determine whether the change slope of the stress is rapidly increased, the stress change information is not limited to the slope of the stress with time, but also includes the time corresponding to the sampling point, the stress magnitude, and the like, which are not listed here.
Optionally, determining whether the battery fails according to the stress variation information includes:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
Here, since the first period is equal to the second period and the ending time point of the first period is less than or equal to the starting time point of the second period, when it is known that the first variation value is less than the second variation value, it can be known whether the slope of the stress variation with time is rapidly increased.
In addition, in this embodiment, to ensure the validity of the sampled data, multiple sets of data may be obtained in time sequence, such as a slope change value a of (10:00-10:05) and a slope change value B of (10:05-10: 10); a slope change value C of (10:10-10:15) and a slope change value D of (10:15-10: 20). The magnitudes of a and B, B and C, C and D are then compared and a battery failure is determined if the slope change values are both increasing over time.
Of course, in addition to the above-mentioned comparison of the slope change values in the same time period to determine whether the slope is rapidly increased, it is also possible to determine whether the time consumed by the same slope change value is shorter. If the slope change value from the second time to the third time is equal to P (the first time is less than the second time, and the second time is less than the third time) according to the slope change value P from the first time to the second time, comparing the time length T1 from the first time to the second time with the time length T2 from the second time to the third time, and if T1> T2, determining that the battery is out of service.
Optionally, the battery failure detection method further includes:
and sending an alarm instruction to an alarm device after the battery is determined to be invalid.
Therefore, after the battery is determined to be invalid, an alarm instruction is sent to the alarm device to give an alarm, so that a user can update the battery in time, and the danger caused by the fact that the invalid battery is continuously used is avoided.
It should be noted that the method is applied to the processor in the previous embodiment, and the implementation manner of the previous embodiment is applicable to the method, and the same technical effect can be achieved, which is not described herein again.
As shown in fig. 4, an embodiment of the present invention also provides a battery failure detection apparatus, including:
a receiving module 410, configured to receive stress data transmitted by a strain gauge, where the strain gauge is configured to receive stress data generated and transmitted by a stress detection device when monitoring stress on a surface of a battery;
a determining module 420 for determining whether the battery has failed according to the stress data.
Optionally, the determining module 420 includes:
the processing submodule is used for obtaining stress change information of the surface of the battery according to the stress data;
and the determining submodule is used for determining whether the battery fails according to the stress change information.
Optionally, the stress variation information includes: the slope of the stress over time.
Optionally, the determining sub-module is further configured to:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
Optionally, the apparatus further comprises:
and the sending module is used for sending an alarm instruction to the alarm device after the battery is determined to be invalid.
It should be noted that the apparatus is an apparatus corresponding to the method, and the implementation manner of the embodiment of the method is applicable to the apparatus and can achieve the same technical effect, which is not described herein again.
Embodiments of the present invention also provide an automobile including the battery failure detection system as described above.
The automobile monitors the stress on the surface of a battery to be detected in real time through a battery failure detection system mainly composed of a stress detection device, a strain gauge and a processor, then generates stress data to be transmitted to the strain gauge, the strain gauge transmits the stress data to the processor, and finally the processor analyzes the stress data to determine whether the battery fails. Therefore, the health state of the battery can be timely and effectively known according to the acquired stress data through real-time monitoring of the surface stress of the battery, and the method is quicker, more accurate and more convenient.
Embodiments of the present invention also provide an automobile comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the battery failure detection method as described above.
Another embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the battery failure detection method as described above.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It is further noted that many of the functional units described in this specification have been labeled as modules, in order to more particularly emphasize their implementation independence.
In embodiments of the present invention, modules may be implemented in software for execution by various types of processors. An identified module of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions which may, for instance, be constructed as an object, procedure, or function. Nevertheless, the executables of an identified module need not be physically located together, but may comprise disparate instructions stored in different bits which, when joined logically together, comprise the module and achieve the stated purpose for the module.
Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Likewise, operational data may be identified within the modules and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network.
When a module can be implemented by software, considering the level of existing hardware technology, a module implemented by software may build a corresponding hardware circuit to implement a corresponding function, without considering cost, and the hardware circuit may include a conventional Very Large Scale Integration (VLSI) circuit or a gate array and an existing semiconductor such as a logic chip, a transistor, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices or the like.
The exemplary embodiments described above are described with reference to the drawings, and many different forms and embodiments of the invention may be made without departing from the spirit and teaching of the invention, therefore, the invention is not to be construed as limited to the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, the size and relative sizes of elements may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Unless otherwise indicated, a range of values, when stated, includes the upper and lower limits of the range and any subranges therebetween.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (14)
1. A battery failure detection system, comprising:
the stress detection device, the strain gauge connected with the stress detection device, and the processor connected with the strain gauge; wherein the content of the first and second substances,
the stress detection device is used for monitoring the stress on the surface of the battery, generating stress data and transmitting the stress data to the strain gauge;
the processor receives stress data transmitted by the strain gauge and determines whether the battery fails according to the stress data;
wherein determining whether the battery has failed based on the stress data comprises:
obtaining stress change information of the surface of the battery according to the stress data;
determining whether the battery fails according to the stress change information;
the determining whether the battery fails according to the stress variation information includes:
and judging whether the slope change value of the internal stress in the same time is increased or not or whether the time consumed by the same slope change value is reduced or not along with the increase of the time according to the stress change information, and determining whether the battery fails or not.
2. The battery failure detection system of claim 1, wherein the stress variation information comprises: the slope of the stress over time.
3. The battery failure detection system of claim 2, wherein determining whether the battery has failed based on the stress change information comprises:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
4. The battery failure detection system of claim 1, further comprising:
and the warning device receives a warning instruction sent by the processor after the battery is determined to be invalid, and generates warning information according to the warning instruction.
5. The battery failure detection system of claim 4, wherein the warning information comprises: text, images and/or sound.
6. The battery failure detection system of claim 1, wherein the stress detection device is at least one strain patch.
7. The battery failure detection system of claim 6, wherein the strain patch is a resistive strain gage.
8. A method of detecting battery failure, comprising:
receiving stress data transmitted by a strain gauge, wherein the strain gauge is used for receiving the stress data generated and transmitted by a stress detection device when monitoring the stress on the surface of the battery;
determining whether the battery has failed based on the stress data;
wherein determining whether the battery has failed based on the stress data comprises:
obtaining stress change information of the surface of the battery according to the stress data;
determining whether the battery fails according to the stress change information;
the determining whether the battery fails according to the stress variation information includes:
and judging whether the slope change value of the internal stress in the same time is increased or not or whether the time consumed by the same slope change value is reduced or not along with the increase of the time according to the stress change information, and determining whether the battery fails or not.
9. The battery failure detection method of claim 8, wherein the stress variation information comprises: the slope of the stress over time.
10. The battery failure detection method of claim 9, wherein determining whether the battery has failed based on the stress variation information comprises:
if the first change value of the slope in the first time period is smaller than the second change value of the slope in the second time period, determining that the battery is invalid; wherein the first time period is equal to the second time period, and an ending time point of the first time period is less than or equal to a starting time point of the second time period.
11. The battery failure detection method of claim 9, further comprising:
and sending an alarm instruction to an alarm device after the battery is determined to be invalid.
12. A battery failure detection device, comprising:
the receiving module is used for receiving stress data transmitted by a strain gauge, wherein the strain gauge is used for receiving the stress data generated and transmitted by the stress detection device when monitoring the stress on the surface of the battery;
a determining module for determining whether the battery has failed according to the stress data;
wherein the determining module comprises:
the processing submodule is used for obtaining stress change information of the surface of the battery according to the stress data;
the determining submodule is used for determining whether the battery fails according to the stress change information;
the determining submodule is further used for judging whether the slope change value of the stress in the same time is increased or not or whether the time consumed by the same slope change value is reduced or not along with the increase of the time through the stress change information, and determining whether the battery fails or not.
13. An automobile comprising a battery failure detection system as claimed in any one of claims 1 to 7.
14. An automobile comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the battery failure detection method of any one of claims 8 to 11.
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