CN113131019A - New energy electric automobile battery module operation safety real-time supervision early warning system based on cloud calculates and thing networking - Google Patents

New energy electric automobile battery module operation safety real-time supervision early warning system based on cloud calculates and thing networking Download PDF

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CN113131019A
CN113131019A CN202110407531.2A CN202110407531A CN113131019A CN 113131019 A CN113131019 A CN 113131019A CN 202110407531 A CN202110407531 A CN 202110407531A CN 113131019 A CN113131019 A CN 113131019A
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吴炜
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
    • B60L50/64—Constructional details of batteries specially adapted for electric vehicles
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4285—Testing apparatus
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4278—Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller
    • 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
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

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Abstract

The invention discloses a new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things, which is characterized in that each battery in a battery module of a new energy electric vehicle is distinguished and numbered, gray level images of each battery in the battery module are collected and processed to obtain image volumes of each battery in the battery module, actual volume difference values of each battery in the battery module are calculated, meanwhile, the outer wall temperature of each battery in the battery module and the ambient air temperature of each battery are detected, the outer wall temperature difference values of each battery in the battery module and the ambient air temperature difference values are obtained through comparison, the concentration of each inflammable gas around each battery in the battery module is detected, the comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle is calculated, meanwhile, the comparison is carried out with a set battery operation safety influence coefficient threshold, and if the difference is larger than the set threshold, an early warning prompt is sent out, therefore, the operation safety of the new energy electric automobile battery module is guaranteed.

Description

New energy electric automobile battery module operation safety real-time supervision early warning system based on cloud calculates and thing networking
Technical Field
The invention relates to the field of monitoring of battery operation safety, in particular to a real-time monitoring and early warning system for the operation safety of a new energy electric vehicle battery module based on cloud computing and the Internet of things.
Background
Along with the rapid development of the automobile industry, new energy automobile receives the high attention of automobile manufacturers as typical new energy automobile, and the battery module is used to the new energy automobile energy carrier that electric automobile is the main part, and battery module operation safety monitoring guarantees new energy electric automobile safe in utilization's powerful guarantee.
At present, the existing battery module operation safety monitoring mainly adopts manual timing monitoring, namely, manual timing is adopted to detect the battery state in the battery module, the phenomena of bulging and rupture of the battery during the operation of a new energy electric vehicle can not be monitored in real time, and therefore, the targeted treatment measures can not be carried out at the first time, thereby increasing the maintenance cost of the new energy electric automobile, reducing the reliability of the operation of the new energy electric automobile battery module, meanwhile, the temperature of the outer wall of the battery in the battery module and the concentration of various surrounding inflammable gases can not be monitored in real time during the operation of the electric automobile, the hysteresis of monitoring information exists, therefore, the operation safety of the new energy electric vehicle battery module can not be accurately analyzed, so that the new energy electric vehicle battery module has great potential safety hazard in operation, in order to solve the problems, a new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and the Internet of things is designed.
Disclosure of Invention
The invention aims to provide a real-time monitoring and early warning system for the operation safety of a new energy electric vehicle battery module based on cloud computing and the Internet of things, which is characterized in that the invention collects gray level images of batteries in the battery module of the new energy electric vehicle and processes the images to obtain the image volume of each battery in the battery module of the new energy electric vehicle by numbering the batteries in the battery module of the new energy electric vehicle in a distinguishing way, calculates the actual volume difference value of each battery in the battery module, simultaneously detects the outer wall temperature of each battery in the battery module of the new energy electric vehicle and the air temperature around each battery, compares the outer wall temperature difference value of each battery in the battery module of the new energy electric vehicle with the ambient air temperature difference value, detects the concentration of each flammable gas around each battery in the battery module of the new energy electric vehicle, and calculates the comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle, meanwhile, the battery safety influence coefficient threshold is compared with the set battery operation safety influence coefficient threshold, and if the battery safety influence coefficient threshold is larger than the set threshold, an early warning prompt is sent out, so that the problems in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
the new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things comprises a battery distinguishing module, a gray image acquisition module, a gray image processing module, a battery volume acquisition module, a battery volume analysis module, a battery temperature detection module, a battery temperature analysis module, a combustible gas concentration detection module, an analysis server, an early warning reminding module and a storage database;
the system comprises a battery temperature detection module, a grayscale image acquisition module, a grayscale image processing module, a battery volume analysis module, an analysis server, an early warning reminding module and a storage database, wherein the grayscale image acquisition module is respectively connected with the battery distinguishing module and the grayscale image processing module;
the battery distinguishing module is used for distinguishing batteries in a battery module of the new energy electric automobile, distinguishing and numbering the batteries in the battery module in sequence according to a set sequence, the numbers of the batteries in the battery module of the new energy electric automobile are respectively 1,2, 1, i, n, and the numbers of the batteries in the battery module of the new energy electric automobile are respectively sent to the gray level image acquisition module and the battery temperature detection module;
the gray image acquisition module is used for receiving the serial numbers of the batteries in the battery module of the new energy electric vehicle sent by the battery distinguishing module, respectively acquiring the gray images of the batteries in the battery module of the new energy electric vehicle, counting the gray images of the batteries in the battery module of the new energy electric vehicle, and forming a gray image set P (P) of the batteries in the battery module of the new energy electric vehicle1,p2,...,pi,...,pn)，piGray scale of ith battery in battery module expressed as new energy electric vehicleThe method comprises the steps of image sending a gray level image set of each battery in a battery module of the new energy electric vehicle to a gray level image processing module;
the gray image processing module is used for receiving the gray image set of each battery in the battery module of the new energy electric vehicle sent by the gray image acquisition module, processing the received gray images of each battery in the battery module of the new energy electric vehicle by adopting an image processing technology to obtain the processed gray images of each battery in the battery module of the new energy electric vehicle, and sending the processed gray images of each battery in the battery module of the new energy electric vehicle to the battery volume acquisition module;
the battery volume acquisition module is used for receiving the processed gray level images of the batteries in the battery module of the new energy electric vehicle sent by the gray level image processing module, acquiring the image volume of each battery in the battery module of the new energy electric vehicle, counting the image volume of each battery in the battery module of the new energy electric vehicle, and forming an image volume set V (V volume) of each battery in the battery module of the new energy electric vehicle1,V2,...,Vi,....,Vn)，ViThe image volume of the ith battery in the battery module of the new energy electric automobile is represented, and the image volume set of each battery in the battery module of the new energy electric automobile is sent to a battery volume analysis module;
the battery volume analysis module is used for receiving the image volume set of each battery in the battery module of the new energy electric vehicle sent by the battery volume acquisition module, extracting the proportion coefficient of the image data in the standard form and the actual data stored in the storage database and the actual standard volume of the battery in the battery module of the new energy electric vehicle, calculating the actual volume difference value of each battery in the battery module of the new energy electric vehicle, counting the actual volume difference value of each battery in the battery module of the new energy electric vehicle, and sending the actual volume difference value of each battery in the battery module of the new energy electric vehicle to the analysis server;
the battery temperature detection module is used for receiving each battery in the battery module of the new energy electric vehicle sent by the battery distinguishing moduleThe number of (a) is used for respectively detecting the outer wall temperature of each battery in the battery module of the new energy electric vehicle and the air temperature around each battery, counting the outer wall temperature of each battery in the battery module of the new energy electric vehicle and the air temperature around each battery, and respectively forming an outer wall temperature set T (T) of each battery in the battery module of the new energy electric vehicle1,T2,...,Ti,...,Tn) And a set T '(T') of air temperature around each battery in a battery module of the new energy electric automobile1′,T′2,...,Ti′,...,T′n)，TiExpressed as the outer wall temperature, T, of the ith battery in the battery module of the new energy electric automobilei' representing the air temperature around the ith battery in the battery module of the new energy electric vehicle, and sending the outer wall temperature set of each battery in the battery module of the new energy electric vehicle and the air temperature set around each battery to a battery temperature analysis module;
the battery temperature analysis module is used for receiving the outer wall temperature set and the air temperature set around each battery in the battery module of the new energy electric automobile sent by the battery temperature detection module, extracting the safe outer wall temperature and the safe air temperature around each battery in the battery module of the new energy electric automobile stored in the storage database, comparing the outer wall temperature set and the safe outer wall temperature of each battery in the battery module of the new energy electric automobile, and obtaining the outer wall temperature difference set delta T (delta T) of each battery in the battery module of the new energy electric automobile1,ΔT2,...,ΔTi,...,ΔTn)，ΔTiThe difference value is represented as the comparison difference value between the outer wall temperature and the safe outer wall temperature of the ith battery in the battery module of the new energy electric automobile, and meanwhile, the ambient air temperature of each battery in the battery module of the new energy electric automobile is compared with the ambient safe air temperature of each battery to obtain the ambient air temperature difference value set delta T' (delta T) of each battery in the battery module of the new energy electric automobile1′,ΔT′2,...,ΔTi′,...,ΔT′n)，ΔTi' air temperature around ith battery and safe air around battery in battery module of new energy electric vehicleThe temperature difference value is compared, and a set of outer wall temperature difference values of batteries in a battery module of the new energy electric automobile and a set of air temperature difference values around the batteries are sent to an analysis server;
inflammable gas concentration detection module is arranged in detecting inflammable gas concentration around each battery in new forms of energy electric automobile's battery module, detects each inflammable gas concentration around each battery in new forms of energy electric automobile's battery module respectively, constitutes each inflammable gas concentration set WR (w) around each battery in new forms of energy electric automobile's battery module1r,w2r,...,wir,...,wnr)，wir represents the concentration of the ith flammable gas around the ith battery in the battery module of the new energy electric vehicle, and r is 1, 2.
The analysis server is used for receiving the actual volume difference value of each battery in the battery module of the new energy electric automobile sent by the battery volume analysis module, receiving the outer wall temperature difference value set of each battery in the battery module of the new energy electric automobile and the ambient air temperature difference value set of each battery sent by the battery temperature analysis module, receiving the ambient flammable gas concentration set of each battery in the battery module of the new energy electric automobile sent by the flammable gas concentration detection module, extracting the operation safety influence coefficient corresponding to the battery volume in the battery module stored in the storage database, the safety influence weight coefficient of the outer wall temperature of the battery and the ambient air temperature of the battery, and the standard concentration of the ambient flammable gas of the battery in the battery module of the new energy electric automobile, and calculating the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile, sending the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile to an early warning reminding module;
the early warning reminding module is used for receiving the comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle sent by the analysis server, comparing the received comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle with a set battery operation safety influence coefficient threshold value, and sending early warning reminding if the comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle is greater than the set battery operation safety influence coefficient threshold value;
the storage database is used for storing the proportionality coefficient k of the image data and the actual data in the standard form and the actual standard volume V 'of the battery in the battery module of the new energy electric automobile'Sign boardAnd simultaneously storing the safe outer wall temperature T of the battery in the battery module of the new energy electric automobileSign boardAnd a safe air temperature T 'around the battery'Sign boardAnd storing an operation safety influence coefficient mu corresponding to the volume of the battery in the battery module, standard concentrations of combustible gases around the battery in the battery module of the new energy electric vehicle, and safety influence weight coefficients of the temperature of the outer wall of the battery and the temperature of air around the battery, which are respectively recorded as alpha and beta.
Further, the gray image acquisition module comprises an x-ray detector, wherein the x-ray detector is installed in an area where the battery module of the new energy electric automobile can be scanned, the battery module of the new energy electric automobile is scanned through the x-ray detector, and a gray image of each battery in the battery module of the new energy electric automobile is acquired.
Further, the image processing technology is image normalization processing, and is used for normalizing the grayscale images of the batteries in the battery module of the new energy electric vehicle, converting the grayscale images into grayscale images in a fixed standard form, and performing filtering and noise reduction processing on the converted grayscale images.
Furthermore, the actual volume difference value calculation formula of each battery in the battery module of the new energy electric automobile is delta Vi′＝k*Vi-V′Sign board，ΔViThe data is expressed as the actual volume difference value of the ith battery in the battery module of the new energy electric automobile, k is expressed as the proportionality coefficient of image data and actual data in a standard form, and ViIs represented as the image volume V 'of the ith battery in the battery module of the new energy electric automobile'Sign boardThe battery module is expressed as the actual standard volume of the battery in the battery module of the new energy electric automobile.
Further, the battery temperature detection module comprises a plurality of temperature sensors, wherein the plurality of temperature sensors are in one-to-one correspondence with the batteries in the battery module respectively, and the temperature of the outer wall of each battery in the battery module of the new energy electric vehicle and the temperature of the air around each battery are detected through the plurality of temperature sensors respectively.
Further, inflammable gas concentration detection module includes a plurality of inflammable gas concentration tester, and wherein a plurality of inflammable gas concentration tester install respectively in new forms of energy electric automobile's battery module each battery outer wall, detect respectively each inflammable gas concentration around each battery in new forms of energy electric automobile's the battery module through inflammable gas concentration tester.
Further, each of the flammable gases includes hydrogen, carbon monoxide, methane, ethane, ethylene, acetylene, propane, and other hydrocarbon gases.
Further, the comprehensive operation safety influence coefficient calculation formula of the battery module of the new energy electric automobile is
Figure BDA0003022909750000071
Xi is expressed as the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile, mu is expressed as the operation safety influence coefficient corresponding to the battery volume in the battery module, and delta Vi' is an actual volume difference value, V ' of the ith battery in the battery module of the new energy electric automobile 'Sign boardExpressed as the actual standard volume of the battery in the battery module of the new energy electric automobile, alpha and beta are respectively expressed as the safety influence weight coefficient of the outer wall temperature of the battery and the ambient air temperature of the battery, delta TiExpressed as the comparison difference value delta T between the outer wall temperature of the ith battery in the battery module of the new energy electric automobile and the safe outer wall temperaturei' is expressed as a comparison difference value, T, between the air temperature around the ith battery and the safe air temperature around the battery in the battery module of the new energy electric automobileSign board,T′Sign boardRespectively expressed as the safe outer wall temperature of the battery in the battery module of the new energy electric automobile and the safe air temperature around the battery, wir represents the flammable r around the ith battery in the battery module of the new energy electric automobileGas concentration, r ═ 1,2,. times, f, wSign boardAnd r is the standard concentration of the nth flammable gas around the battery in the battery module of the new energy electric automobile.
Has the advantages that:
(1) the invention provides a cloud computing and Internet of things based real-time monitoring and early warning system for the operation safety of a new energy electric vehicle battery module, which is characterized in that batteries in the new energy electric vehicle battery module are numbered in a distinguishing manner, gray level images of the batteries in the new energy electric vehicle battery module are collected and processed, so that the time and the task amount required by image analysis are reduced, the image volume of the batteries in the new energy electric vehicle battery module is obtained, the actual volume difference value of the batteries in the battery module is calculated, the battery state of the new energy electric vehicle in operation is monitored and analyzed in real time, the targeted processing measures can be carried out at the first time when the batteries are subjected to swelling and cracking, the outer wall temperature of the batteries in the new energy electric vehicle battery module and the air temperature around the batteries are detected at the same time, and the outer wall temperature difference value and the ambient air temperature difference value of the batteries in the new energy electric vehicle battery module are obtained by comparison, therefore, the hysteresis of monitoring information is avoided, the running reliability of the new energy electric automobile battery module is improved, the concentration of each combustible gas around each battery in the new energy electric automobile battery module is detected, and reliable reference data are provided for calculating the comprehensive running safety influence coefficient of the new energy electric automobile battery module in the later period.
(2) According to the invention, the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile is calculated, the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile is compared with the set battery operation safety influence coefficient threshold, and if the comprehensive operation safety influence coefficient is larger than the set threshold, an early warning prompt is sent out, so that the function of early warning in time when the battery module of the new energy electric automobile is in operation failure is realized, the maintenance cost of the new energy electric automobile is further reduced, and the operation safety of the battery module of the new energy electric automobile is ensured.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and internet of things comprises a battery distinguishing module, a gray image acquisition module, a gray image processing module, a battery volume acquisition module, a battery volume analysis module, a battery temperature detection module, a battery temperature analysis module, a flammable gas concentration detection module, an analysis server, an early warning reminding module and a storage database.
The device comprises a battery temperature detection module, a grayscale image acquisition module, a grayscale image processing module, an analysis server, a storage database, an early warning reminding module and a storage database, wherein the grayscale image acquisition module is respectively connected with the battery distinguishing module and the grayscale image processing module, the battery volume acquisition module is respectively connected with the grayscale image processing module and the battery volume analysis module, the battery volume analysis module is respectively connected with the analysis server and the storage database, the battery temperature detection module is respectively connected with the battery distinguishing module and the battery temperature analysis module, the battery temperature analysis module is respectively connected with the analysis server and the storage database, and the analysis server is respectively connected with the inflammable gas concentration detection.
The battery distinguishing module is used for distinguishing batteries in the battery module of the new energy electric automobile, distinguishing and numbering the batteries in the battery module in sequence according to a set sequence, wherein the numbering of the batteries in the battery module of the new energy electric automobile is respectively 1,2, 1, i, n, and the numbering of the batteries in the battery module of the new energy electric automobile is respectively sent to the gray level image acquisition module and the battery temperature detection module.
The gray image acquisition module comprises an x-ray detector, wherein the x-ray detector is installed in an area capable of scanning a battery module of the new energy electric vehicle and used for receiving serial numbers of batteries in the battery module of the new energy electric vehicle sent by the battery distinguishing module, the battery module of the new energy electric vehicle is scanned through the x-ray detector to obtain gray images of the batteries in the battery module of the new energy electric vehicle, the gray images of the batteries in the battery module of the new energy electric vehicle are counted, and a gray image set P (P) of the batteries in the battery module of the new energy electric vehicle is formed1,p2,...,pi,...,pn)，piThe gray level image of the ith battery in the battery module of the new energy electric automobile is represented, and the gray level image set of each battery in the battery module of the new energy electric automobile is sent to the gray level image processing module.
The gray image processing module is used for receiving the gray image set of each battery in the battery module of the new energy electric vehicle sent by the gray image acquisition module, processing the received gray images of each battery in the battery module of the new energy electric vehicle by adopting an image processing technology to obtain the processed gray images of each battery in the battery module of the new energy electric vehicle, so that the time and the task amount required by image analysis are reduced, and the processed gray images of each battery in the battery module of the new energy electric vehicle are sent to the battery volume acquisition module.
The image processing technology is image normalization processing and is used for normalizing the gray level images of the batteries in the battery module of the new energy electric vehicle, converting the gray level images into the gray level images in a fixed standard form, and filtering and denoising the converted gray level images.
The battery volume acquisition module is used for receiving the processed new energy electric vehicle sent by the gray level image processing moduleThe gray level image of each battery in the battery module of the new energy electric vehicle is obtained, the image volume of each battery in the battery module of the new energy electric vehicle is counted, and an image volume set V (V) of each battery in the battery module of the new energy electric vehicle is formed1,V2,...,Vi,....,Vn)，ViThe image volume of the ith battery in the battery module of the new energy electric automobile is represented, and the image volume set of each battery in the battery module of the new energy electric automobile is sent to the battery volume analysis module.
The battery volume analysis module is used for receiving the image volume set of each battery in the battery module of the new energy electric vehicle sent by the battery volume acquisition module, extracting the proportion coefficient of the image data in the standard form and the actual data stored in the storage database and the actual standard volume of the battery in the battery module of the new energy electric vehicle, and calculating the actual volume difference value delta V of each battery in the battery module of the new energy electric vehiclei′＝k*Vi-V′Sign board，ΔViThe data is expressed as the actual volume difference value of the ith battery in the battery module of the new energy electric automobile, k is expressed as the proportionality coefficient of image data and actual data in a standard form, and ViIs represented as the image volume V 'of the ith battery in the battery module of the new energy electric automobile'Sign boardThe method comprises the steps of representing the actual standard volume of batteries in a battery module of the new energy electric automobile, counting the actual volume difference of each battery in the battery module of the new energy electric automobile, and sending the actual volume difference of each battery in the battery module of the new energy electric automobile to an analysis server, so that the battery state during operation of the new energy electric automobile is monitored and analyzed in real time, and the targeted treatment measures can be carried out at the first time when the battery bulges and breaks.
The battery temperature detection module comprises a plurality of temperature sensors, wherein the temperature sensors are respectively in one-to-one correspondence with each battery in the battery module and used for receiving serial numbers of each battery in the battery module of the new energy electric automobile sent by the battery distinguishing module, and the temperature sensors are used for respectively detecting the electricity of the new energy electric automobileThe outer wall temperature of each battery in the battery module and the ambient air temperature of each battery are counted, the outer wall temperature of each battery in the battery module of the new energy electric vehicle and the ambient air temperature of each battery are counted, and an outer wall temperature set T (T) of each battery in the battery module of the new energy electric vehicle is formed respectively1,T2,...,Ti,...,Tn) And a set T '(T') of air temperature around each battery in a battery module of the new energy electric automobile1′,T′2,...,Ti′,...,T′n)，TiExpressed as the outer wall temperature, T, of the ith battery in the battery module of the new energy electric automobilei' expressing the temperature of the air around the ith battery in the battery module of the new energy electric vehicle, and sending the set of the temperatures of the outer walls of the batteries in the battery module of the new energy electric vehicle and the set of the temperatures of the air around the batteries to the battery temperature analysis module.
The battery temperature analysis module is used for receiving the outer wall temperature set and the air temperature set around each battery in the battery module of the new energy electric automobile sent by the battery temperature detection module, extracting the safe outer wall temperature and the safe air temperature around each battery in the battery module of the new energy electric automobile stored in the storage database, comparing the outer wall temperature set and the safe outer wall temperature of each battery in the battery module of the new energy electric automobile, and obtaining the outer wall temperature difference set delta T (delta T) of each battery in the battery module of the new energy electric automobile1,ΔT2,...,ΔTi,...,ΔTn)，ΔTiThe difference value is represented as the comparison difference value between the outer wall temperature and the safe outer wall temperature of the ith battery in the battery module of the new energy electric automobile, and meanwhile, the ambient air temperature of each battery in the battery module of the new energy electric automobile is compared with the ambient safe air temperature of each battery to obtain the ambient air temperature difference value set delta T' (delta T) of each battery in the battery module of the new energy electric automobile1′,ΔT′2,...,ΔTi′,...,ΔT′n)，ΔTi' As the comparison difference value between the air temperature around the ith battery and the safe air temperature around the battery in the battery module of the new energy electric automobile, the battery module of the new energy electric automobileThe outer wall temperature difference value set of each battery in the battery pack and the ambient air temperature difference value set of each battery are sent to the analysis server, so that the hysteresis of monitoring information is avoided, and the running reliability of the new energy electric vehicle battery module is improved.
Inflammable gas concentration detection module includes a plurality of inflammable gas concentration tester, wherein each battery outer wall in the battery module of new energy electric automobile is installed respectively to a plurality of inflammable gas concentration tester, a combustible gas concentration detects around each battery in the battery module to new energy electric automobile, detect each inflammable gas concentration around each battery in the battery module of new energy electric automobile respectively through inflammable gas concentration tester, wherein each inflammable gas includes hydrogen, carbon monoxide, methane, ethane, ethylene, acetylene, propane and other hydrocarbon gas, constitute each inflammable gas concentration set WR (w) around each battery in the battery module of new energy electric automobile1r,w2r,...,wir,...,wnr)，wiThe method comprises the steps that r represents the concentration of the ith flammable gas around the ith battery in the battery module of the new energy electric automobile, and r is 1,2, f, and the concentration of the flammable gas around each battery in the battery module of the new energy electric automobile is set and sent to an analysis server, so that reliable reference data are provided for the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile calculated in the later period.
The analysis server is used for receiving actual volume difference values of all batteries in a battery module of the new energy electric vehicle sent by the battery volume analysis module, receiving an outer wall temperature difference value set of all batteries in the battery module of the new energy electric vehicle and an air temperature difference value set around each battery sent by the battery temperature analysis module, receiving inflammable gas concentration sets around each battery in the battery module of the new energy electric vehicle sent by the inflammable gas concentration detection module, extracting an operation safety influence coefficient corresponding to the battery volume in the battery module stored in the storage database, a safety influence weight coefficient of the outer wall temperature of the battery and the air temperature around the battery, and standard concentrations of all inflammable gases around the battery in the battery module of the new energy electric vehicle, and calculating the actual volume difference values of all the batteries in the battery module of the new energy electric vehicleComprehensive operation safety influence coefficient of battery module
Figure BDA0003022909750000121
Xi is expressed as the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile, mu is expressed as the operation safety influence coefficient corresponding to the battery volume in the battery module, and delta Vi' is an actual volume difference value, V ' of the ith battery in the battery module of the new energy electric automobile 'Sign boardExpressed as the actual standard volume of the battery in the battery module of the new energy electric automobile, alpha and beta are respectively expressed as the safety influence weight coefficient of the outer wall temperature of the battery and the ambient air temperature of the battery, delta TiExpressed as the comparison difference value delta T between the outer wall temperature of the ith battery in the battery module of the new energy electric automobile and the safe outer wall temperaturei' is expressed as a comparison difference value, T, between the air temperature around the ith battery and the safe air temperature around the battery in the battery module of the new energy electric automobileSign board,T′Sign boardRespectively expressed as the safe outer wall temperature of the battery in the battery module of the new energy electric automobile and the safe air temperature around the battery, wir represents the concentration of the ith inflammable gas around the ith battery in the battery module of the new energy electric automobile, and r is 1,2Sign boardr represents the standard concentration of the nth flammable gas around the battery in the battery module of the new energy electric automobile, and sends the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile to the early warning reminding module.
The early warning reminding module is used for receiving the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile sent by the analysis server, comparing the received comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile with a set battery operation safety influence coefficient threshold value, and if the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile is greater than the set battery operation safety influence coefficient threshold value, sending out early warning reminding, so that the function of timely early warning when the battery module of the new energy electric automobile breaks down is realized, the maintenance cost of the new energy electric automobile is reduced, and the operation safety of the battery module of the new energy electric automobile is guaranteed.
The storage database is used for storing the proportionality coefficient k of the image data and the actual data in the standard form and the actual standard volume V 'of the battery in the battery module of the new energy electric automobile'Sign boardAnd simultaneously storing the safe outer wall temperature T of the battery in the battery module of the new energy electric automobileSign boardAnd a safe air temperature T 'around the battery'Sign boardAnd storing an operation safety influence coefficient mu corresponding to the volume of the battery in the battery module, standard concentrations of combustible gases around the battery in the battery module of the new energy electric vehicle, and safety influence weight coefficients of the temperature of the outer wall of the battery and the temperature of air around the battery, which are respectively recorded as alpha and beta.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (8)

1. New forms of energy electric automobile battery module operation safety real-time supervision early warning system based on cloud calculates and thing networking, its characterized in that: the system comprises a battery distinguishing module, a gray level image acquisition module, a gray level image processing module, a battery volume acquisition module, a battery volume analysis module, a battery temperature detection module, a battery temperature analysis module, a combustible gas concentration detection module, an analysis server, an early warning reminding module and a storage database;
the system comprises a battery temperature detection module, a grayscale image acquisition module, a grayscale image processing module, a battery volume analysis module, an analysis server, an early warning reminding module and a storage database, wherein the grayscale image acquisition module is respectively connected with the battery distinguishing module and the grayscale image processing module;
the battery distinguishing module is used for distinguishing batteries in a battery module of the new energy electric automobile, distinguishing and numbering the batteries in the battery module in sequence according to a set sequence, the numbers of the batteries in the battery module of the new energy electric automobile are respectively 1,2, 1, i, n, and the numbers of the batteries in the battery module of the new energy electric automobile are respectively sent to the gray level image acquisition module and the battery temperature detection module;
the gray image acquisition module is used for receiving the serial numbers of the batteries in the battery module of the new energy electric vehicle sent by the battery distinguishing module, respectively acquiring the gray images of the batteries in the battery module of the new energy electric vehicle, counting the gray images of the batteries in the battery module of the new energy electric vehicle, and forming a gray image set P (P) of the batteries in the battery module of the new energy electric vehicle1,p2,...,pi,...,pn)，piThe gray level image of the ith battery in the battery module of the new energy electric automobile is represented, and the gray level image set of each battery in the battery module of the new energy electric automobile is sent to the gray level image processing module;
the gray image processing module is used for receiving the gray image set of each battery in the battery module of the new energy electric vehicle sent by the gray image acquisition module, processing the received gray images of each battery in the battery module of the new energy electric vehicle by adopting an image processing technology to obtain the processed gray images of each battery in the battery module of the new energy electric vehicle, and sending the processed gray images of each battery in the battery module of the new energy electric vehicle to the battery volume acquisition module;
the battery volume acquisition module is used for receiving the processed gray level images of the batteries in the battery module of the new energy electric vehicle sent by the gray level image processing module, acquiring the image volume of each battery in the battery module of the new energy electric vehicle, counting the image volume of each battery in the battery module of the new energy electric vehicle, and forming an image volume set V (V volume) of each battery in the battery module of the new energy electric vehicle1,V2,...,Vi,....,Vn)，ViThe image volume of the ith battery in the battery module of the new energy electric automobile is represented, and the image volume set of each battery in the battery module of the new energy electric automobile is sent to a battery volume analysis module;
the battery volume analysis module is used for receiving the image volume set of each battery in the battery module of the new energy electric vehicle sent by the battery volume acquisition module, extracting the proportion coefficient of the image data in the standard form and the actual data stored in the storage database and the actual standard volume of the battery in the battery module of the new energy electric vehicle, calculating the actual volume difference value of each battery in the battery module of the new energy electric vehicle, counting the actual volume difference value of each battery in the battery module of the new energy electric vehicle, and sending the actual volume difference value of each battery in the battery module of the new energy electric vehicle to the analysis server;
the battery temperature detection module is used for receiving the serial numbers of the batteries in the battery module of the new energy electric vehicle sent by the battery distinguishing module, respectively detecting the outer wall temperature of the batteries in the battery module of the new energy electric vehicle and the ambient air temperature of the batteries, counting the outer wall temperature of the batteries in the battery module of the new energy electric vehicle and the ambient air temperature of the batteries, and respectively forming an outer wall temperature set T (T) of the batteries in the battery module of the new energy electric vehicle1,T2,...,Ti,...,Tn) And a set T '(T') of air temperature around each battery in a battery module of the new energy electric automobile1′,T′2,...,T′i,...,T′n)，TiExpressed as the outer wall temperature, T, of the ith battery in the battery module of the new energy electric automobilei' representing the air temperature around the ith battery in the battery module of the new energy electric vehicle, and sending the outer wall temperature set of each battery in the battery module of the new energy electric vehicle and the air temperature set around each battery to a battery temperature analysis module;
the battery temperature analysis module is used for receiving the outer wall temperature set of each battery and the ambient air temperature set of each battery in the battery module of the new energy electric vehicle sent by the battery temperature detection module,extracting the safe outer wall temperature of the batteries in the battery module of the new energy electric vehicle and the safe air temperature around the batteries stored in the storage database, comparing the outer wall temperature set of each battery in the battery module of the new energy electric vehicle with the safe outer wall temperature to obtain an outer wall temperature difference set delta T (delta T) of each battery in the battery module of the new energy electric vehicle1,ΔT2,...,ΔTi,...,ΔTn)，ΔTiThe difference value is represented as the comparison difference value between the outer wall temperature and the safe outer wall temperature of the ith battery in the battery module of the new energy electric automobile, and meanwhile, the ambient air temperature of each battery in the battery module of the new energy electric automobile is compared with the ambient safe air temperature of each battery to obtain the ambient air temperature difference value set delta T' (delta T) of each battery in the battery module of the new energy electric automobile1′,ΔT2′,...,ΔTi′,...,ΔT′n)，ΔTiThe method comprises the steps of sending a set of outer wall temperature differences of batteries in a battery module of the new energy electric vehicle and a set of air temperature differences around the batteries to an analysis server, wherein the set of the outer wall temperature differences of the batteries in the battery module of the new energy electric vehicle is expressed as a comparison difference between the temperature of air around the ith battery and the temperature of safe air around the battery;
inflammable gas concentration detection module is arranged in detecting inflammable gas concentration around each battery in new forms of energy electric automobile's battery module, detects each inflammable gas concentration around each battery in new forms of energy electric automobile's battery module respectively, constitutes each inflammable gas concentration set WR (w) around each battery in new forms of energy electric automobile's battery module1r,w2r,...,wir,...,wnr)，wir represents the concentration of the ith flammable gas around the ith battery in the battery module of the new energy electric vehicle, and r is 1, 2.
The analysis server is used for receiving the actual volume difference value of each battery in the battery module of the new energy electric automobile sent by the battery volume analysis module, receiving the outer wall temperature difference value set of each battery in the battery module of the new energy electric automobile and the ambient air temperature difference value set of each battery sent by the battery temperature analysis module, receiving the ambient flammable gas concentration set of each battery in the battery module of the new energy electric automobile sent by the flammable gas concentration detection module, extracting the operation safety influence coefficient corresponding to the battery volume in the battery module stored in the storage database, the safety influence weight coefficient of the outer wall temperature of the battery and the ambient air temperature of the battery, and the standard concentration of the ambient flammable gas of the battery in the battery module of the new energy electric automobile, and calculating the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile, sending the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile to an early warning reminding module;
the early warning reminding module is used for receiving the comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle sent by the analysis server, comparing the received comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle with a set battery operation safety influence coefficient threshold value, and sending early warning reminding if the comprehensive operation safety influence coefficient of the battery module of the new energy electric vehicle is greater than the set battery operation safety influence coefficient threshold value;
the storage database is used for storing the proportionality coefficient k of the image data and the actual data in the standard form and the actual standard volume V 'of the battery in the battery module of the new energy electric automobile'Sign boardAnd simultaneously storing the safe outer wall temperature T of the battery in the battery module of the new energy electric automobileSign boardAnd a safe air temperature T 'around the battery'Sign boardAnd storing an operation safety influence coefficient mu corresponding to the volume of the battery in the battery module, standard concentrations of combustible gases around the battery in the battery module of the new energy electric vehicle, and safety influence weight coefficients of the temperature of the outer wall of the battery and the temperature of air around the battery, which are respectively recorded as alpha and beta.
2. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: the gray level image acquisition module comprises an x-ray detector, wherein the x-ray detector is installed in an area where a battery module of the new energy electric automobile can be scanned, the battery module of the new energy electric automobile is scanned through the x-ray detector, and gray level images of batteries in the battery module of the new energy electric automobile are acquired.
3. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: the image processing technology is image normalization processing and is used for normalizing the gray level images of the batteries in the battery module of the new energy electric vehicle, converting the gray level images into the gray level images in a fixed standard form, and filtering and denoising the converted gray level images.
4. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: the actual volume difference value calculation formula of each battery in the battery module of the new energy electric automobile is delta Vi′＝k*Vi-V′Sign board，ΔViThe data is expressed as the actual volume difference value of the ith battery in the battery module of the new energy electric automobile, k is expressed as the proportionality coefficient of image data and actual data in a standard form, and ViIs represented as the image volume V 'of the ith battery in the battery module of the new energy electric automobile'Sign boardThe battery module is expressed as the actual standard volume of the battery in the battery module of the new energy electric automobile.
5. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: the battery temperature detection module comprises a plurality of temperature sensors, wherein the temperature sensors are in one-to-one correspondence with the batteries in the battery module respectively, and the temperature of the outer wall of each battery in the battery module of the new energy electric automobile and the temperature of air around each battery are detected through the temperature sensors respectively.
6. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: the inflammable gas concentration detection module comprises a plurality of inflammable gas concentration testers, wherein the plurality of inflammable gas concentration testers are respectively installed on the outer wall of each battery in the battery module of the new energy electric automobile, and the inflammable gas concentration around each battery in the battery module of the new energy electric automobile is respectively detected through the inflammable gas concentration testers.
7. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: each of the flammable gases includes hydrogen, carbon monoxide, methane, ethane, ethylene, acetylene, propane, and other hydrocarbon gases.
8. The new energy electric vehicle battery module operation safety real-time monitoring and early warning system based on cloud computing and Internet of things according to claim 1, characterized in that: the comprehensive operation safety influence coefficient calculation formula of the battery module of the new energy electric automobile is
Figure FDA0003022909740000061
Xi is expressed as the comprehensive operation safety influence coefficient of the battery module of the new energy electric automobile, mu is expressed as the operation safety influence coefficient corresponding to the battery volume in the battery module, and delta Vi' is an actual volume difference value, V ' of the ith battery in the battery module of the new energy electric automobile 'Sign boardExpressed as the actual standard volume of the battery in the battery module of the new energy electric automobile, alpha and beta are respectively expressed as the safety influence weight coefficient of the outer wall temperature of the battery and the ambient air temperature of the battery, delta TiIs expressed as the comparison difference value delta T between the outer wall temperature and the safe outer wall temperature of the ith battery in the battery module of the new energy electric automobile'iExpressed as the difference value T between the air temperature around the ith battery and the safe air temperature around the battery in the battery module of the new energy electric automobileSign board,T′Sign boardRespectively expressed as the safe outer wall temperature of the battery in the battery module of the new energy electric automobile and the safe air temperature around the battery, wir represents the concentration of the ith inflammable gas around the ith battery in the battery module of the new energy electric automobile, and r is 1,2Sign boardAnd r is the standard concentration of the nth flammable gas around the battery in the battery module of the new energy electric automobile.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113095664A (en) * 2021-04-06 2021-07-09 喻师师 Cloud computing-based online real-time monitoring, regulating and controlling management cloud platform for transformer substation operation safety
CN113787937A (en) * 2021-08-04 2021-12-14 华中科技大学 Intelligent temperature control and energy charging system for phase change material
CN114312472A (en) * 2022-03-10 2022-04-12 智能网联汽车(山东)协同创新研究院有限公司 Winter battery use control system based on new energy automobile

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113095664A (en) * 2021-04-06 2021-07-09 喻师师 Cloud computing-based online real-time monitoring, regulating and controlling management cloud platform for transformer substation operation safety
CN113787937A (en) * 2021-08-04 2021-12-14 华中科技大学 Intelligent temperature control and energy charging system for phase change material
CN113787937B (en) * 2021-08-04 2023-09-29 华中科技大学 Intelligent temperature control and energy charging system for phase change material
CN114312472A (en) * 2022-03-10 2022-04-12 智能网联汽车(山东)协同创新研究院有限公司 Winter battery use control system based on new energy automobile

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