CN116500473B - Vehicle-mounted energy storage battery safety detection system - Google Patents
Vehicle-mounted energy storage battery safety detection system Download PDFInfo
- Publication number
- CN116500473B CN116500473B CN202310520939.XA CN202310520939A CN116500473B CN 116500473 B CN116500473 B CN 116500473B CN 202310520939 A CN202310520939 A CN 202310520939A CN 116500473 B CN116500473 B CN 116500473B
- Authority
- CN
- China
- Prior art keywords
- battery
- test
- detection
- state
- vehicle
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 153
- 238000004146 energy storage Methods 0.000 title claims abstract description 18
- 238000012360 testing method Methods 0.000 claims abstract description 100
- 230000002159 abnormal effect Effects 0.000 claims abstract description 58
- 238000012544 monitoring process Methods 0.000 claims abstract description 56
- 238000000034 method Methods 0.000 claims abstract description 34
- 230000008569 process Effects 0.000 claims abstract description 27
- 238000011076 safety test Methods 0.000 claims abstract description 27
- 238000004088 simulation Methods 0.000 claims abstract description 22
- 238000000605 extraction Methods 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims description 53
- 230000007613 environmental effect Effects 0.000 claims description 29
- 238000004880 explosion Methods 0.000 claims description 10
- 238000007599 discharging Methods 0.000 claims description 9
- 238000013523 data management Methods 0.000 claims description 7
- 239000000779 smoke Substances 0.000 claims description 5
- 239000007788 liquid Substances 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 3
- 238000009863 impact test Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 6
- 230000001276 controlling effect Effects 0.000 description 12
- 238000012545 processing Methods 0.000 description 10
- 238000007781 pre-processing Methods 0.000 description 7
- 230000003044 adaptive effect Effects 0.000 description 6
- 238000003860 storage Methods 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 3
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000013475 authorization Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003708 edge detection Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- 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
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention provides a vehicle-mounted energy storage battery safety detection system which comprises an information acquisition module, a feature extraction module, a simulation test module and a detection recording module; the information acquisition module is used for acquiring state monitoring information of the abnormal vehicle-mounted battery, wherein the state monitoring information comprises state monitoring information which is correspondingly acquired when the abnormal vehicle-mounted battery is abnormal in the actual use process; the feature extraction module is used for determining detection feature information according to the acquired state monitoring information; the simulation test module is used for controlling the battery detection device to perform safety test on the test battery according to the detection characteristic information; the detection recording module is used for recording the safety detection result of the test battery in the process of carrying out the safety test of the test battery. The invention is beneficial to carrying out targeted secondary safety detection on the similar products of the vehicle-mounted battery with abnormal conditions, and timely finding hidden safety hazards of the vehicle-mounted battery.
Description
Technical Field
The invention relates to the technical field of vehicle-mounted battery safety detection, in particular to a vehicle-mounted energy storage battery safety detection system.
Background
Currently, safety checks for vehicle-mounted batteries (e.g., lithium batteries) are typically performed by manufacturers according to relevant standards prior to shipment of the batteries. However, when the safety detection is performed, the safety performance of the vehicle-mounted battery under different single indexes is detected by adopting a single-dimension standard, and when the safety detection is qualified, the vehicle-mounted battery is installed in a corresponding automobile.
However, in the actual use process, the influence factors of the vehicle-mounted battery are multidimensional and uncertain, and when the vehicle-mounted battery is under the specific condition of being influenced by various factors, the safety abnormality (such as fire or explosion) of the vehicle-mounted battery can possibly occur, so that hidden danger is caused to the safety use of the vehicle-mounted battery.
Disclosure of Invention
In view of the above, the present invention aims to provide a vehicle-mounted energy storage battery safety detection system.
The aim of the invention is realized by adopting the following technical scheme:
the invention provides a vehicle-mounted energy storage battery safety detection system which comprises an information acquisition module, a feature extraction module, a simulation test module and a detection recording module; wherein,
the information acquisition module is used for acquiring state monitoring information of the abnormal vehicle-mounted battery, wherein the state monitoring information comprises state monitoring information which is correspondingly acquired when the abnormal vehicle-mounted battery is abnormal in the actual use process, and the state monitoring information comprises battery running state information and environment state information;
the feature extraction module is used for determining detection feature information according to the acquired state monitoring information;
the simulation test module is used for controlling the battery detection device to perform safety test on the test battery according to the detection characteristic information;
the detection recording module is used for recording the safety detection result of the test battery in the process of carrying out the safety test of the test battery.
Preferably, the system further comprises a data management module;
the data management module is used for storing and managing data generated in the safety test process of the test battery and corresponding safety detection results.
Preferably, the information acquisition module comprises an access unit and an input unit;
the access unit is connected with a state monitoring terminal of the vehicle with the abnormal vehicle-mounted battery and is used for acquiring state monitoring information of the state monitoring terminal when the abnormal vehicle-mounted battery or a period of time before the abnormal vehicle-mounted battery occurs;
the input unit is used for enabling a tester to actively input state monitoring information of the abnormal vehicle-mounted battery.
Preferably, the state monitoring information of the abnormal vehicle-mounted battery comprises battery running state information and environment state information; the running state information comprises charging voltage, discharging voltage, continuous working time, running temperature, short circuit state, battery deformation value and the like. The environmental status information includes environmental temperature, environmental air pressure, vehicle type, impact force monitoring information, vibration monitoring information, and the like.
Preferably, the feature extraction module comprises a feature extraction unit and an adjustment unit; wherein the method comprises the steps of
The feature extraction unit is used for extracting detection feature information according to the acquired state monitoring information, wherein the detection features comprise electrical features, environmental features and mechanical features; wherein the electrical characteristics include battery charge voltage, discharge voltage, short circuit condition, etc.; the environmental characteristics comprise continuous working time, environmental temperature, environmental humidity, environmental air pressure and the like; the mechanical characteristics comprise vibration information, impact force information, deformation information and the like;
the adjusting unit is used for adjusting parameters in the detection characteristics to obtain final confirmation detection characteristic information.
Preferably, the detection characteristic information may be a constant and stable fixed state; the simulation test module can dynamically adjust and control corresponding control equipment according to the detection characteristic information.
Preferably, the simulation test module comprises an environment control unit, an operation control unit and a trigger control unit;
the environment control unit is used for controlling the environment control equipment according to the obtained environment characteristic information, and adjusting the environment factors of the environment where the test battery is located to a state corresponding to the environment characteristic information; wherein the environment control equipment comprises temperature adjusting equipment, humidity adjusting equipment, air pressure adjusting equipment and the like;
the operation control unit is used for controlling the operation control equipment according to the obtained electrical characteristics so that the test battery operates in a state corresponding to the electrical characteristics; the operation control equipment is electrically connected with the test battery and is used for adjusting parameters such as charging voltage, discharging voltage, load resistance and the like of the test battery according to the electrical characteristics; the operation control equipment comprises short-circuit test equipment, power supply simulation equipment, load simulation equipment and the like;
the trigger control unit is used for controlling the trigger control equipment according to the obtained mechanical characteristics so that the test battery is influenced by external force corresponding to the mechanical characteristics; wherein the trigger control device comprises a needling test device, an impact test device and the like.
Preferably, the detection recording module comprises a state recording unit, a video recording unit and a result analysis unit;
the state recording unit is used for acquiring running state data of the test battery in the safety test process based on the sensor and the like to obtain state recording data; the operation state data comprise an operation state, a charging voltage, a discharging voltage, a continuous operation time, an operation temperature, a short circuit state, a battery deformation value and the like.
The video recording unit is used for acquiring video recording data of the test battery in the safety test process to obtain a detection recording video;
the result analysis unit is used for carrying out safety analysis on the acquired state record data and the detection record video to obtain a safety detection result of the test battery.
Preferably, the result analysis unit includes a state analysis unit and a video analysis unit; wherein,
the state analysis unit is used for carrying out safe operation analysis according to the acquired state record data of the test battery in the process of carrying out the safe test, and comparing the acquired state record data with a standard value preset by the safe operation of the battery to obtain a test battery state analysis result;
the video analysis unit is used for carrying out safety analysis according to the acquired detection record video, detecting whether the condition of liquid leakage, smoke, fire or explosion occurs in the test battery, and obtaining a video analysis result of the test battery.
Preferably, the detection recording module further comprises a statistics unit;
the statistics unit is used for counting safety detection results obtained according to the plurality of test batteries and generating a battery safety detection report of the corresponding model of the test battery.
The beneficial effects of the invention are as follows: the safety detection system for the vehicle-mounted energy storage battery provided by the invention can determine comprehensive and multidimensional detection characteristics according to the collected state detection information of the vehicle-mounted battery in the actual use process, intelligently control the detection device according to the detection characteristics to perform simulation reduction with an abnormal scene in an abnormal case, perform safety test on the test battery with the same or similar model under the same abnormal condition, record the safety detection result of the test battery, and be beneficial to performing targeted secondary safety detection on the similar products of the vehicle-mounted battery with the abnormal condition, be beneficial to timely finding hidden safety hazards of the vehicle-mounted battery, and provide basis for subsequent research, development and production work for further improving the safety performance of the battery.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a frame structure diagram of a vehicle-mounted energy storage battery safety detection system according to an embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following application scenario.
Referring to fig. 1, a vehicle-mounted energy storage battery safety detection system is shown, which comprises an information acquisition module, a feature extraction module, a simulation test module and a detection recording module; wherein,
the information acquisition module is used for acquiring state monitoring information of the abnormal vehicle-mounted battery, wherein the state monitoring information comprises state monitoring information which is correspondingly acquired when the abnormal vehicle-mounted battery is abnormal in the actual use process, and the state monitoring information comprises battery running state information and environment state information;
the feature extraction module is used for determining detection feature information according to the acquired state monitoring information;
the simulation test module is used for controlling the battery detection device to perform safety test on the test battery according to the detection characteristic information;
the detection recording module is used for recording the safety detection result of the test battery in the process of carrying out the safety test of the test battery.
The safety detection system for the vehicle-mounted energy storage battery provided by the invention can determine comprehensive and multidimensional detection characteristics according to the collected state detection information of the vehicle-mounted battery in the actual use process, intelligently control the detection device according to the detection characteristics to perform simulation reduction with an abnormal scene in an abnormal case, perform safety test on the test battery with the same or similar model under the same abnormal condition, record the safety detection result of the test battery, and be beneficial to performing targeted secondary safety detection on the similar products of the vehicle-mounted battery with the abnormal condition, be beneficial to timely finding hidden safety hazards of the vehicle-mounted battery, and provide basis for subsequent research, development and production work for further improving the safety performance of the battery.
In a scene, the abnormality of the vehicle-mounted battery comprises liquid leakage, smoke, fire, explosion, damage and the like; after aiming at the abnormal problem of the vehicle-mounted battery of the automobile, the third-party detection structure carries out secondary safety detection on the same type of vehicle-mounted battery, wherein the information acquisition module is used for collecting state monitoring information of the vehicle-mounted battery in a period of time when the abnormality occurs, and the feature extraction module is used for extracting corresponding detection features; and further controlling parameters of the battery detection device according to the detection characteristics, so that the battery detection device can restore the scene of the abnormal condition of the previous vehicle-mounted battery, repeated tests are carried out on the test battery, and a safety detection result is obtained through recording the test data. According to the safety detection result, whether the abnormal problem of the vehicle-mounted battery is an accident or has a certain potential safety hazard (for example, the corresponding abnormal problem is triggered when the vehicle-mounted battery reaches a certain specific scene state) can be reflected, and the improvement or optimization of the battery of the same type in which the abnormality of the vehicle-mounted battery occurs can be facilitated for battery research and development and manufacturers according to the obtained safety detection result, so that the safety of the vehicle-mounted battery is further improved.
The model and parameters of the test battery are the same as or similar to those of the abnormal vehicle-mounted battery; the vehicle-mounted battery includes a lithium battery and the like.
The abnormal vehicle-mounted battery state monitoring information comprises battery running state information and environment state information; the running state information comprises charging voltage, discharging voltage, continuous working time, running temperature, short circuit state, battery deformation value and the like. The environmental status information includes environmental temperature, environmental air pressure, vehicle type, impact force monitoring information, vibration monitoring information, and the like.
Preferably, the system further comprises a data management module;
the data management module is used for storing and managing data generated in the safety test process of the test battery and corresponding safety detection results.
And the system data archiving management is carried out according to the obtained safety test data and the corresponding safety detection result, so that the establishment of a vehicle-mounted battery safety detection database is facilitated, and the data management level and the further data utilization effect are improved.
Preferably, the information acquisition module comprises an access unit and an input unit;
the access unit is connected with a state monitoring terminal of the vehicle with the abnormal vehicle-mounted battery and is used for acquiring state monitoring information of the state monitoring terminal when the abnormal vehicle-mounted battery or a period of time before the abnormal vehicle-mounted battery occurs;
the input unit is used for enabling a tester to actively input state monitoring information of the abnormal vehicle-mounted battery.
In one scenario, the state monitoring terminal may be an intelligent terminal that is actually disposed on the vehicle, or may be a storage device that stores state monitoring information, such as a cloud server or a database server.
The access unit is used for accessing the data system of the automobile manufacturer, so that abnormal vehicle-mounted battery monitoring information can be directly obtained from the data system of the automobile manufacturer after authorization, or the abnormal vehicle-mounted battery monitoring information can be manually input into the system according to the acquired data, so that the requirements of different service scenes can be met.
Preferably, the feature extraction module comprises a feature extraction unit and an adjustment unit; wherein the method comprises the steps of
The feature extraction unit is used for extracting detection feature information according to the acquired state monitoring information, wherein the detection features comprise electrical features, environmental features and mechanical features; wherein the electrical characteristics include battery charge voltage, discharge voltage, short circuit condition, etc.; the environmental characteristics comprise continuous working time, environmental temperature, environmental humidity, environmental air pressure and the like; the mechanical characteristics comprise vibration information, impact force information, deformation information and the like;
the adjusting unit is used for adjusting parameters in the detection characteristics to obtain final confirmation detection characteristic information.
Extracting corresponding detection features according to the obtained state monitoring information, wherein the detection features comprise three dimensional features: electrical, environmental, and mechanical features; and respectively controlling different battery detection devices according to the extracted characteristics of different dimensions so as to restore the abnormal condition state, and providing a basis for monitoring the safety and reliability detection of the test battery under the specific condition.
Preferably, the detection characteristic information may be a constant and stable fixed state; the simulation test module can dynamically adjust and control corresponding control equipment according to the detection characteristic information.
In a scene, the acquired state monitoring information is monitoring data in a period of time before an abnormal fault occurs, the scene when the abnormal fault occurs can be simulated according to the change of the time line of the monitoring information by the detection characteristics of the acquired state monitoring information, and the real abnormal fault scene can be restored by controlling the influence factors of multiple dimensions and adjusting the influence combination and degree of different factors, so that the reliability and pertinence of safety detection are improved. For example, the environmental air pressure data obtained according to the monitoring state information is drastically reduced within 10S before the explosion of the battery, and a severe impact of the battery is monitored in 1S before the explosion; the environmental characteristic extracted from the state monitoring information is that the environmental air pressure is reduced to a preset value within a time t=0 to t=10 after the start of the test, and the mechanical characteristic is that a preset impact force collision is generated at a time t=9s.
Preferably, the simulation test module comprises an environment control unit, an operation control unit and a trigger control unit;
the environment control unit is used for controlling the environment control equipment according to the obtained environment characteristic information, and adjusting the environment factors of the environment where the test battery is located to a state corresponding to the environment characteristic information; wherein the environment control equipment comprises temperature adjusting equipment, humidity adjusting equipment, air pressure adjusting equipment and the like;
the operation control unit is used for controlling the operation control equipment according to the obtained electrical characteristics so that the test battery operates in a state corresponding to the electrical characteristics; the operation control equipment is electrically connected with the test battery and is used for adjusting parameters such as charging voltage, discharging voltage, load resistance and the like of the test battery according to the electrical characteristics; the operation control equipment comprises short-circuit test equipment, power supply simulation equipment, load simulation equipment and the like;
the trigger control unit is used for controlling the trigger control equipment according to the obtained mechanical characteristics so that the test battery is influenced by external force corresponding to the mechanical characteristics; wherein the trigger control device comprises a needling test device, an impact test device and the like.
In the process of safety test, a test battery is placed in a test area, and a corresponding battery detection device is controlled according to the obtained detection characteristics, wherein the battery detection device comprises an environment control device, an operation control device and a trigger control device, the corresponding control device is controlled according to different detection characteristics, abnormal fault scenes are restored by controlling multi-dimensional influence factors and adjusting the influence combinations and degrees of different factors, and safety detection data of the test battery are further recorded.
Preferably, the detection recording module comprises a state recording unit, a video recording unit and a result analysis unit;
the state recording unit is used for acquiring running state data of the test battery in the safety test process based on the sensor and the like to obtain state recording data; the operation state data comprise an operation state, a charging voltage, a discharging voltage, a continuous operation time, an operation temperature, a short circuit state, a battery deformation value and the like.
The video recording unit is used for acquiring video recording data of the test battery in the safety test process to obtain a detection recording video;
the result analysis unit is used for carrying out safety analysis on the acquired state record data and the detection record video to obtain a safety detection result of the test battery.
By recording the running state data and video recording data of the test battery in the safety test process, comprehensive safety analysis and recording can be carried out on the test battery, and a corresponding safety detection result can be obtained. The state condition of the test battery under a specific scene is comprehensively and truly reflected and recorded through the safety detection result, and data support is provided for the output of the subsequent further safety detection result.
Preferably, the result analysis unit includes a state analysis unit and a video analysis unit; wherein,
the state analysis unit is used for carrying out safe operation analysis according to the acquired state record data of the test battery in the process of carrying out the safe test, and comparing the acquired state record data with a standard value preset by the safe operation of the battery to obtain a test battery state analysis result;
the video analysis unit is used for carrying out safety analysis according to the acquired detection record video, detecting whether the condition of liquid leakage, smoke, fire or explosion occurs in the test battery, and obtaining a video analysis result of the test battery.
By constructing an intelligent analysis model, the acquired state record data can be compared and analyzed, abnormal conditions can be identified according to detection record videos based on an intelligent video analysis technology, and corresponding analysis results can be automatically recorded, so that the method is favorable for real-time analysis of long-time safety test, on the one hand, the labor cost of the safety test can be reduced, the mass production level of safety detection of a safety battery can be improved, and the intelligent level of battery state analysis can be improved.
Preferably, the video analysis unit comprises a video extraction unit, a preprocessing unit, a model analysis unit and an output unit; wherein,
the video extraction unit is used for obtaining a complete detection record video;
the preprocessing unit is used for preprocessing according to the acquired detection recorded video, and comprises video frame extraction and enhancement processing, so as to obtain preprocessed detection recorded video picture images;
the model analysis unit is used for inputting the preprocessed detection record video picture images into the video analysis model, and the video analysis model is used for carrying out abnormal fault identification on the obtained detection record video picture images to obtain a video analysis result of the test battery.
The abnormal faults comprise leakage, smoking, fire and explosion, and the video analysis model is trained based on knn algorithm. The intelligent abnormal fault identification of the model for detecting and recording the video picture images is realized by training the model by taking a large number of vehicle-mounted battery images marked with different abnormal fault types and vehicle-mounted battery images under normal conditions as training sets.
In the scene of carrying out the safety test, the environment where the test battery is located is relatively complex due to a plurality of set environment variable factors, so that the acquired detection recorded video is easily influenced by the complex environment in the safety test process, and the condition that the detection recorded video is interfered is caused, so that the definition of the detection recorded video is influenced. Therefore, after the preprocessing unit extracts the video frames of the obtained detection recorded video, the extracted detection recorded video picture images are further subjected to enhancement processing so as to improve the definition of the detection recorded video picture images, thereby improving the accuracy of the subsequent analysis according to the detection recorded video picture images.
In a scene, according to the time precision requirement of video analysis, different sampling can be adopted to extract video frames of the obtained detection recorded video, so as to obtain corresponding detection recorded video picture images; wherein each detected recorded video picture image corresponds to different time information.
Preferably, the preprocessing unit performs enhancement processing on the extracted detected recorded video picture image, including:
performing LBP edge detection processing according to the acquired detection recorded video picture image, and marking the monitored edge pixel points;
converting the detected recorded video picture image from the RGB color space to the Lab color space to obtain a luminance component mrL, a color component mra, and a color component mrb, respectively, of the detected recorded video picture image;
detecting the brightness component value of each pixel point according to the obtained brightness component mrl, and carrying out brightness pretreatment on the pixel point with the brightness component value L (x, y) of the pixel point being more than 85, wherein the adopted brightness pretreatment function is as follows: l' (x, y) =75+β×l (x, y), where β represents a pretreatment factor, β e [0.08,0.1];
after the luminance preprocessing, the luminance component mrL' is further subjected to adaptive luminance adjustment processing, wherein the adaptive luminance adjustment processing function is:
in the method, in the process of the invention,representing the luminance component value at the pixel point (x, y) after the adaptive luminance adjustment processing, (a) lp ,b lp ) Representation ofEdge pixels closest to the pixel (x, y),dist((x,y),(a lp ,b lp ) Representing pixel points (x, y) to pixel points (a) lp ,b lp ) Is set, wherein distT e [4,8 ]]The method comprises the steps of carrying out a first treatment on the surface of the L (lpn) represents a pixel point (a) lp +sgn(x-a lp p,b lp +sgn(x-b lp ) Where sgn represents a sign factor, where when the variable is>When 0, sgn (=1, when 0, sgn (=0, when<At 0, sgn (×=1, l (lpf) represents the pixel point (a) lp -sgn(x-a lp ),b lp -sgn(x-b lp ) L' (x, y) represents the luminance component value of the pixel point (x, y), fg1 represents a first judgment adjustment factor, where fg1: l (lpn) -L (lpf)>musL, musL representing the set luminance threshold factor, wherein musL ε [25, 40]The method comprises the steps of carrying out a first treatment on the surface of the fg2 represents a second judgment regulatory factor, fg2: l' (x, y)>L (lpf); fg3 represents a third judgment regulatory factor, where fg1: l (lpn) -L (lpf) is less than or equal to musL; fg4 represents a fourth judgment regulatory factor, fg4: l' (x, y) is less than or equal to L (lpf); mu represents an adaptive regulator, wherein>
After the adaptive brightness adjustment, the brightness component is further adjustedAnd performing global brightness adjustment, wherein the adopted global brightness adjustment function is as follows:
luminance component value representing pixel point (x, y) after global luminance adjustment, +.>Representing the set global regulator, wherein ∈>trL the brightness standard value is set, trL E [60, 65 ]]；
After global brightness adjustment, further based on brightness componentAnd the color components mra and mrb obtained before are subjected to color space inverse conversion to obtain a preprocessed detection record video picture image.
For the situation that in an actual vehicle-mounted battery safety test environment, the brightness interference factors in the environment are more, abnormal interference information is easy to occur in the acquired detection record video picture image, for example, because the shell of the vehicle-mounted battery is usually black, grey and other dark colors, when the shell of the battery is subjected to the albedo of strong light, abnormal brightness information occurs in the picture, and the brightness information is easy to be misjudged to be the condition of explosion or fire (flaming) when the model analysis is carried out later, so that the accuracy of safety detection of the vehicle-mounted battery is affected. Therefore, in the above embodiment, a technical solution is provided for performing image enhancement on an obtained detected and recorded video image, where the image is first converted to a Lab color space, based on an obtained luminance component, a proposed luminance preprocessing function is first used to perform suppression processing on a highlight region in the image, so as to lay a foundation for subsequent luminance adjustment, in the adaptive luminance adjustment performed later, characteristics of reflection interference information in the image are considered, especially when the pixel point is adjusted, the pixel point in the luminance layered region is adaptively adjusted based on luminance information near an edge pixel point close to the pixel point, so as to neutralize luminance deviation in the highlight region, improve definition of the highlight region, and finally perform global luminance adjustment on the image, further improve overall definition of the image, enhance the processed detected and recorded video image, improve definition of each region, especially the highlight region, and help to improve characterization level of feature information (such as smoke, fire and explosion) reflecting abnormal fault identification, indirectly improve reliability of the subsequent detected and recorded video image, and further obtain a safety and reliability of a vehicle-mounted battery analysis result according to a detected and detected video image.
Preferably, the detection recording module further comprises a statistics unit;
the statistics unit is used for counting safety detection results obtained according to the plurality of test batteries and generating a battery safety detection report of the corresponding model of the test battery.
The safety analysis of the same type of vehicle-mounted battery with the abnormal faults of the vehicle-mounted battery can improve the reliability and the authenticity of the safety detection result through repeated tests.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the above description of embodiments, those skilled in the art will appreciate that the present invention may implement the embodiments described herein in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. The vehicle-mounted energy storage battery safety detection system is characterized by comprising an information acquisition module, a characteristic extraction module, a simulation test module and a detection recording module; wherein,
the information acquisition module is used for acquiring state monitoring information of the abnormal vehicle-mounted battery, wherein the state monitoring information comprises state monitoring information which is correspondingly acquired when the abnormal vehicle-mounted battery is abnormal in the actual use process, and the state monitoring information comprises battery running state information and environment state information; wherein,
the information acquisition module comprises an access unit and an input unit;
the access unit is connected with a state monitoring terminal of the vehicle with the abnormal vehicle-mounted battery and is used for acquiring state monitoring information of the state monitoring terminal when the abnormal vehicle-mounted battery or a period of time before the abnormal vehicle-mounted battery occurs;
the input unit is used for actively inputting state monitoring information of the abnormal vehicle-mounted battery by a tester;
the abnormal vehicle-mounted battery state monitoring information comprises battery running state information and environment state information; the running state information comprises charging voltage, discharging voltage, continuous working time, running temperature, short circuit state and battery deformation value; the environmental state information comprises environmental temperature, environmental air pressure, environmental humidity, carrying vehicle type, impact force monitoring information and vibration monitoring information;
the feature extraction module is used for determining detection feature information according to the acquired state monitoring information; wherein,
the feature extraction module comprises a feature extraction unit and an adjustment unit; wherein the method comprises the steps of
The feature extraction unit is used for extracting detection feature information according to the acquired state monitoring information, wherein the detection features comprise electrical features, environmental features and mechanical features; wherein the electrical characteristics include battery charge voltage, discharge voltage, and short circuit condition; the environmental characteristics comprise continuous working time, environmental temperature, environmental humidity and environmental air pressure; the mechanical characteristics comprise vibration information, impact force information and deformation information;
the adjusting unit is used for adjusting parameters in the detection characteristics to obtain final confirmation detection characteristic information;
the simulation test module is used for controlling the battery detection device to perform safety test on the test battery according to the detection characteristic information;
the detection recording module is used for recording the safety detection result of the test battery in the process of carrying out the safety test of the test battery.
2. The vehicle-mounted energy storage battery safety detection system according to claim 1, further comprising a data management module;
the data management module is used for storing and managing data generated in the safety test process of the test battery and corresponding safety detection results.
3. The vehicle-mounted energy storage battery safety detection system according to claim 1, wherein the model and parameters of the test battery are the same as those of the abnormal vehicle-mounted battery.
4. The vehicle-mounted energy storage battery safety detection system according to claim 1, wherein the detection characteristic information includes a constant stable fixed state and a time-varying variable state; when the detection characteristic information is in a change state, the detection characteristic information comprises detection characteristic information corresponding to each detection moment, so that the simulation test module can dynamically adjust and control corresponding control equipment according to the detection characteristic information.
5. The vehicle-mounted energy storage battery safety detection system according to claim 1, wherein the simulation test module comprises an environment control unit, an operation control unit and a trigger control unit;
the environment control unit is used for controlling the environment control equipment according to the obtained environment characteristic information, and adjusting the environment factors of the environment where the test battery is located to a state corresponding to the environment characteristic information; wherein the environment control device comprises a temperature adjusting device, a humidity adjusting device and an air pressure adjusting device;
the operation control unit is used for controlling the operation control equipment according to the obtained electrical characteristics so that the test battery operates in a state corresponding to the electrical characteristics; the operation control equipment is electrically connected with the test battery and is used for adjusting parameters of charging voltage, discharging voltage and load resistance of the test battery according to the electrical characteristics; the operation control device comprises a short circuit test device, a power supply simulation device and a load simulation device;
the trigger control unit is used for controlling the trigger control equipment according to the obtained mechanical characteristics so that the test battery is influenced by external force corresponding to the mechanical characteristics; wherein the trigger control device comprises a needling test device and an impact test device.
6. The vehicle-mounted energy storage battery safety detection system according to claim 5, wherein the detection recording module comprises a state recording unit, a video recording unit and a result analysis unit;
the state recording unit is used for acquiring running state data of the test battery in the safety test process based on the sensor to obtain state recording data; the operation state data comprise an operation state, a charging voltage, a discharging voltage, a continuous operation time length, an operation temperature, a short circuit state and a battery deformation value;
the video recording unit is used for acquiring video recording data of the test battery in the safety test process to obtain a detection recording video;
the result analysis unit is used for carrying out safety analysis on the acquired state record data and the detection record video to obtain a safety detection result of the test battery.
7. The vehicle-mounted energy storage battery safety detection system according to claim 6, wherein the result analysis unit comprises a state analysis unit and a video analysis unit; wherein,
the state analysis unit is used for carrying out safe operation analysis according to the acquired state record data of the test battery in the process of carrying out the safe test, and comparing the acquired state record data with a standard value preset by the safe operation of the battery to obtain a test battery state analysis result;
the video analysis unit is used for carrying out safety analysis according to the acquired detection record video, detecting whether the condition of liquid leakage, smoke, fire or explosion occurs in the test battery, and obtaining a video analysis result of the test battery.
8. The vehicle-mounted energy storage battery safety detection system according to claim 6, wherein the detection recording module further comprises a statistics unit;
the statistics unit is used for counting safety detection results obtained according to the plurality of test batteries and generating a battery safety detection report of the corresponding model of the test battery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310520939.XA CN116500473B (en) | 2023-05-10 | 2023-05-10 | Vehicle-mounted energy storage battery safety detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310520939.XA CN116500473B (en) | 2023-05-10 | 2023-05-10 | Vehicle-mounted energy storage battery safety detection system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116500473A CN116500473A (en) | 2023-07-28 |
| CN116500473B true CN116500473B (en) | 2023-11-14 |
Family
ID=87330088
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310520939.XA Active CN116500473B (en) | 2023-05-10 | 2023-05-10 | Vehicle-mounted energy storage battery safety detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116500473B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101419170B1 (en) * | 2013-01-22 | 2014-07-11 | 주식회사 현대케피코 | Environmental reliabilty test apparatus for vehicle using hardware in the loop simulation |
| CN105189183A (en) * | 2013-03-15 | 2015-12-23 | 罗伯特·博世有限公司 | Method and device for increasing the security when using battery modules |
| CN106274518A (en) * | 2015-05-27 | 2017-01-04 | 天津市优耐特汽车电控技术服务有限公司 | A kind of electric bus automobile specified battery management system |
| CN107271839A (en) * | 2016-04-06 | 2017-10-20 | 利萨·德雷克塞迈尔有限责任公司 | Method and control device for the vehicle-mounted electrical system that monitors vehicle |
| CN114089189A (en) * | 2020-07-31 | 2022-02-25 | 财团法人工业技术研究院 | Test equipment and test method of battery management system |
| CN114397580A (en) * | 2021-12-30 | 2022-04-26 | 安徽绿舟科技有限公司 | Automatic test virtual simulation system and method for battery replacement station |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9465078B2 (en) * | 2012-11-02 | 2016-10-11 | Fairfield Industries, Inc. | Battery capacity and durability prediction method |
-
2023
- 2023-05-10 CN CN202310520939.XA patent/CN116500473B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101419170B1 (en) * | 2013-01-22 | 2014-07-11 | 주식회사 현대케피코 | Environmental reliabilty test apparatus for vehicle using hardware in the loop simulation |
| CN105189183A (en) * | 2013-03-15 | 2015-12-23 | 罗伯特·博世有限公司 | Method and device for increasing the security when using battery modules |
| CN106274518A (en) * | 2015-05-27 | 2017-01-04 | 天津市优耐特汽车电控技术服务有限公司 | A kind of electric bus automobile specified battery management system |
| CN107271839A (en) * | 2016-04-06 | 2017-10-20 | 利萨·德雷克塞迈尔有限责任公司 | Method and control device for the vehicle-mounted electrical system that monitors vehicle |
| CN114089189A (en) * | 2020-07-31 | 2022-02-25 | 财团法人工业技术研究院 | Test equipment and test method of battery management system |
| CN114397580A (en) * | 2021-12-30 | 2022-04-26 | 安徽绿舟科技有限公司 | Automatic test virtual simulation system and method for battery replacement station |
Non-Patent Citations (1)
| Title |
|---|
| 电池***的故障特征以及多故障的诊断与识别;杨静 等;《化工学报》;第第73卷卷(第第8期期);第3394-3403页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116500473A (en) | 2023-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109785289B (en) | Transmission line defect detection method and system and electronic equipment | |
| CN111381579B (en) | Cloud deck fault detection method and device, computer equipment and storage medium | |
| CN102445640B (en) | GIS device intelligent recognition method based on vector machine and artificial fish swarm optimization | |
| WO2021212496A1 (en) | Battery detection method and apparatus | |
| CN112381784A (en) | Equipment detecting system based on multispectral image | |
| CN108109385A (en) | A kind of vehicle identification of power transmission line external force damage prevention and hazardous act judgement system and method | |
| CN112257632A (en) | Transformer substation monitoring system based on edge calculation | |
| CN116054417B (en) | Monitoring system and method for transformer substation | |
| CN116111721A (en) | Smart grid power equipment safety monitoring system and method based on big data | |
| CN113740635A (en) | Electrical equipment fault diagnosis method, terminal and multi-probe sensing device | |
| CN115936672A (en) | Smart power grid online safety operation and maintenance management method and system | |
| CN116500473B (en) | Vehicle-mounted energy storage battery safety detection system | |
| CN115830516B (en) | Computer neural network image processing method for battery deflagration detection | |
| CN116977907A (en) | Image recognition-based power inspection fault diagnosis method and system | |
| CN117372954A (en) | Charging station safety monitoring method, device, system and computer equipment | |
| CN204989336U (en) | Microwave subassembly remote control and measurement system based on long -range desktop | |
| CN116298725A (en) | Fault arc detection method, system and storage medium | |
| CN115826477A (en) | Water area monitoring system and method based on data visualization | |
| CN115931141A (en) | Temperature identification method of infrared temperature measurement map based on improved ANN algorithm | |
| CN115616329A (en) | Five little casees fault recognition system of transformer substation based on convolutional neural network | |
| CN113284103B (en) | Substation equipment defect online detection method based on space transformation fast R-CNN model | |
| CN112985823B (en) | Testing device for simulating camera sensor | |
| CN209929831U (en) | Switch cabinet with image recognition position | |
| CN117686823B (en) | Automatic acceptance checking system for relay protection of transformer substation | |
| CN214669559U (en) | Radar integrated data acquisition and transmission equipment |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |