CN115657552A - New energy automobile battery fire safety intelligent monitoring control system and method - Google Patents
New energy automobile battery fire safety intelligent monitoring control system and method Download PDFInfo
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Abstract
The invention discloses a fire safety intelligent monitoring control system and method for a new energy automobile battery, belonging to the technical field of new energy automobile batteries; the monitoring coordinate system is established and sub-regions are divided for the battery pack bottom plate, the battery pack bottom plate is divided into a plurality of modules for monitoring and counting, so that more accurate monitoring and evaluation can be implemented for the inside and the outside of the battery pack bottom plate, and the accuracy of monitoring and controlling the fire safety of the new energy automobile battery is improved; the collected temperature data and pressure data are processed and classified to judge whether the temperature and the received pressure of the corresponding sub-area are abnormal or not and the abnormal degree, and reliable data support is provided for the subsequent risk assessment of the sub-area division through the early data processing; the invention is used for solving the technical problem of poor quasi-integral effect of the new energy automobile battery fire safety monitoring control in the existing scheme.
Description
Technical Field
The invention relates to the technical field of new energy automobile batteries, in particular to a fire safety intelligent monitoring control system and method for a new energy automobile battery.
Background
Under triple driving of fire frequently, demand, supply and policy of a new energy automobile, the safety of a battery is accelerating to move to the front of a platform, and intrinsic safety, passive safety and active safety are three common battery thermal runaway solution strategies at present.
Through retrieval, the Chinese invention with the publication number of CN110329074A and the name of improving the safety of the new energy automobile battery pack discloses the method for monitoring the state of a new energy automobile battery pack bottom plate in real time by using a sensor, and acquiring and outputting a response signal; transmitting the response signal to a signal processing module, and drawing a damaged distribution map of the new energy automobile battery pack bottom plate by using the signal processing module according to the response signal; feedback to at least one of a driver and a passenger of the vehicle based on the response signal; performing additional inspection on a new energy automobile battery pack bottom plate; the method can remarkably improve the safety of the new energy automobile battery pack by monitoring the bottom plate of the new energy automobile battery pack in real time and establishing an effective and rapid response mechanism aiming at the state of the bottom plate of the battery pack;
but have drawbacks including: data of different aspects of collection are not mined, preprocessing is not carried out before monitoring and analyzing of the battery pack bottom plate, local risk analysis and assessment and integration are not carried out, accuracy of risk assessment of the battery pack bottom plate is poor, and therefore the overall effect of monitoring and controlling of fire safety of the new energy automobile battery is affected.
Disclosure of Invention
The invention aims to provide a new energy automobile battery fire safety intelligent monitoring control system and method, which are used for solving the technical problem that the quasi-overall effect of new energy automobile battery fire safety monitoring control in the existing scheme is poor.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a new energy automobile battery fire control safety intelligent monitoring control system, includes:
the battery pack bottom plate is set and divided by the area dividing module to obtain an area dividing set comprising a monitoring coordinate system and a plurality of numbered dividing sub-areas;
the monitoring and counting module is used for monitoring the internal temperature of the point positions in the divided sub-regions of a plurality of numbers in the region division set; monitoring the ambient temperature outside the bottom plate of the battery pack and setting the ambient temperature as the external temperature; collecting and counting the internal temperature and the external temperature at different time points to form a temperature counting set;
the device is also used for monitoring the pressure on a plurality of numbered sub-areas in the area division set and setting the pressure as the sub-area pressure; collecting and counting the pressures of the sub-regions at different time points to form a pressure statistic set;
the temperature analysis unit in the monitoring analysis module is used for carrying out modularized analysis processing on the temperature change conditions of the point positions in the divided sub-regions of the plurality of numbers according to the temperature statistical set to obtain a temperature analysis set;
the pressure analysis unit in the monitoring analysis module is used for performing modular analysis processing on the pressure conditions of the plurality of numbered sub-regions according to the pressure statistical set to obtain a pressure analysis set;
the local evaluation module is used for carrying out local risk evaluation on each divided sub-region of the battery pack bottom plate to obtain a local evaluation set comprising a first sub-region, a second sub-region and a third sub-region;
and the overall evaluation module is used for evaluating the overall risk of the battery pack bottom plate according to the local evaluation set and carrying out early warning prompt and control in a self-adaptive manner.
Preferably, the obtaining of the region partition set includes:
acquiring a middle point of a battery pack bottom plate and setting the middle point as a coordinate origin;
constructing a monitoring coordinate system according to the coordinate origin, the preset coordinate distance and the coordinate direction;
acquiring the length and the width of a bottom plate of the battery pack;
dividing the length and the width of the battery pack bottom plate according to a preset dividing proportion to obtain a dividing length and a dividing width; dividing the length and the width to form a divided sub-region;
numbering and marking the plurality of divided sub-regions according to a preset numbering direction;
and the monitoring coordinate system and the plurality of numbered sub-division regions form a region division set.
Preferably, the step of obtaining the temperature analysis set comprises:
obtaining the difference value between a plurality of internal temperatures and external temperatures in the temperature statistical set and setting the difference value as a temperature difference value; arranging a plurality of temperature difference values in a descending order and carrying out hidden danger analysis;
if the temperature difference value is smaller than the temperature difference threshold value, marking the corresponding temperature difference value as a first temperature difference value, and counting the total times of occurrence of the first temperature difference value to obtain the total times of the first temperature difference;
if the temperature difference value is not less than the temperature difference threshold value and the continuous time length value is less than the time length threshold value, setting the corresponding temperature difference value as a second temperature difference value, and counting the total times of the second temperature difference value to obtain the total times of the second temperature difference;
if the temperature difference value is not less than the temperature difference threshold value and the continuous time length value is not less than the time length threshold value, setting the corresponding temperature difference value as a third temperature difference value, and counting the total times of the third temperature difference value to obtain a third total temperature difference time; and the total occurrence times of different temperature difference values and different temperature difference values form a temperature analysis set.
Preferably, the step of acquiring the pressure analysis set comprises:
acquiring the pressure on each divided sub-region, and matching the acquired pressure with a preset pressure threshold value to obtain a first pressure, a second pressure and a third pressure; counting the total times of the first pressure, the second pressure and the third pressure to obtain the total times of the first pressure, the second pressure and the third pressure; the different pressures and the total number of occurrences of the different pressures comprise a pressure analysis set.
Preferably, the working steps of the local evaluation module include:
sequentially acquiring a corresponding temperature analysis set and a corresponding pressure analysis set according to the numbers of the divided sub-regions; counting a first temperature difference total time YW, a second temperature difference total time EW and a third temperature difference total time SW in the temperature analysis set, and counting a first pressure total time YY, a second pressure total time EY and a third pressure total time SY in the pressure analysis set;
and simultaneously integrating various data in the temperature analysis set and the pressure analysis set, and calculating to obtain the sub-state evaluation coefficient FZX of each divided sub-region.
Preferably, the calculation formula of the minute-state evaluation coefficient FZX is:
in the formula, f1, f2, f3 and f4 are different preset scale factors, and f1 is more than 0 and less than f2 and less than f3 and less than f4.
Preferably, when risk evaluation is performed on each divided sub-region of the battery pack bottom plate according to the sub-state evaluation coefficient, the sub-state evaluation coefficient is matched with a preset sub-state evaluation range to obtain a first divided signal, a second divided signal, a third divided signal, and a corresponding first sub-region, a second sub-region and a third sub-region; the first, second and third fractal signals and the corresponding first, second and third sub-regions constitute a local evaluation set.
Preferably, the working steps of the overall evaluation module include:
acquiring a first sub-area, a second sub-area and a third sub-area marked in a local evaluation set;
if the total number of the third sub-areas is larger than P, generating a first early warning signal and prompting a new energy automobile owner to overhaul;
if the total number of the third sub-regions is not more than P but the total number of the second sub-regions is more than Q, generating a second early warning signal and prompting a new energy automobile owner to overhaul; p and Q are positive integers, and P is less than Q;
and if the total number of the third sub-areas is greater than P and the total number of the second sub-areas is greater than Q, generating a third early warning signal and controlling the new energy automobile to be prohibited from starting.
In order to solve the problem, the invention also discloses a new energy automobile battery fire safety intelligent monitoring control method, which comprises the following steps:
setting and dividing a battery pack bottom plate to obtain a region division set comprising a monitoring coordinate system and a plurality of numbered sub-region division regions;
monitoring the internal temperature of the point positions in a plurality of numbered divided sub-areas in the area division set, and monitoring the environment temperature outside the battery pack bottom plate to obtain a temperature statistic set; monitoring the pressure on a plurality of numbered sub-divided regions in the region division set to obtain a pressure statistic set;
performing modular analysis processing on the temperature change conditions of the point positions in the plurality of numbered sub-regions according to the temperature statistical set to obtain a temperature analysis set containing different temperature difference values and the total occurrence times of the different temperature difference values;
performing modular analysis processing on the pressure conditions of the plurality of numbered sub-regions according to the pressure statistical set to obtain a pressure analysis set containing different pressures and the total times of occurrence of the different pressures;
carrying out local risk assessment on each sub-region of the battery pack bottom plate according to the temperature analysis set and the pressure analysis set to obtain a local assessment set;
and evaluating the overall risk of the bottom plate of the battery pack according to the local evaluation set, and performing early warning prompt and control in a self-adaptive manner.
Compared with the prior scheme, the invention has the following beneficial effects:
according to the invention, the monitoring coordinate system and the sub-area division are established for the battery pack bottom plate, the battery pack bottom plate is divided into a plurality of modules for monitoring and counting, so that more accurate monitoring and evaluation can be implemented for the inside and the outside of the battery pack bottom plate, and the accuracy of monitoring and controlling the fire safety of the new energy automobile battery is improved;
through processing and classifying the temperature data and the pressure data of gathering, judge whether the subregion of division's that corresponds temperature and the pressure that receives are unusual, and unusual degree, come to provide reliable data support for subsequent subregion's of division risk assessment through earlier stage data processing, the subregion of division that will be unusual in the later stage integrates the whole risk of battery package bottom plate and assesses, and according to assessment result self-adaptation carry out early warning suggestion and control, improve the security of battery package bottom plate, guarantee the safety of new energy automobile battery operation, the whole effect of new energy automobile battery fire control safety intelligent monitoring control has been improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a new energy automobile battery fire safety intelligent monitoring control system according to the present invention.
Fig. 2 is a flow chart of the intelligent monitoring and controlling method for fire safety of the new energy automobile battery.
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.
Example one
The new energy automobile battery fire safety comprises fire early warning and processing, spontaneous combustion of the new energy automobile battery can occur in the driving process, parking and charging, and due to the fact that the battery pack bottom plate is arranged at the lower end of the new energy automobile battery for supporting and protecting, when the battery pack bottom plate is abnormal, for example, collision, overstock and scraping are received, if early warning is not timely carried out and processing control is actively involved, operation of the automobile battery can be affected, and a large fire safety hidden danger exists; according to the invention, local safety risks are evaluated by acquiring, processing and analyzing data from different aspects, then abnormal evaluation results are integrated to evaluate the overall safety risks, and early warning prompt and control are carried out in a self-adaptive manner, so that the overall effect of monitoring and controlling the fire safety of the new energy automobile battery is improved;
as shown in fig. 1, the invention relates to an intelligent monitoring and controlling system for fire safety of a new energy automobile battery, which comprises a region dividing module, a monitoring and counting module, a monitoring and analyzing module, a local evaluation module, an overall evaluation module, a server and a database;
the invention is disclosed as CN110329074A and is named as a Chinese invention of a method for improving the safety of a new energy automobile battery pack, and discloses a method for monitoring the state of a new energy automobile battery pack bottom plate in real time by using a sensor, wherein the external stimulation on the battery pack bottom plate in various environments can be monitored, and the external stimulation is transmitted to a signal processing module in the form of response signals to be processed, so that a damaged distribution map of the battery pack bottom plate is obtained, and potential safety hazards possibly existing in the battery pack bottom plate can be analyzed and predicted; however, the collected data in different aspects are not mined, the battery pack bottom plate is not preprocessed before monitoring and analyzing, and local and overall risk analysis, evaluation and integration are not performed, so that the accuracy of the battery pack bottom plate risk evaluation is poor, and the overall effect of the new energy automobile battery fire safety monitoring control is influenced;
the battery pack bottom plate is arranged on the battery pack bottom plate, and the battery pack bottom plate is divided into a plurality of regions; the method comprises the following steps:
acquiring a middle point of a battery pack bottom plate and setting the middle point as a coordinate origin;
constructing a monitoring coordinate system according to the coordinate origin, the preset coordinate distance and the coordinate direction; the unit of the coordinate distance is centimeter, and the specific coordinate distance and the coordinate direction can be customized;
acquiring the length and the width of a bottom plate of a battery pack; the length and width are in centimeters;
dividing the length and the width of the battery pack bottom plate according to a preset dividing proportion to obtain a dividing length and a dividing width; dividing the length and the width to form a dividing subarea;
the specific numerical value of the division ratio can be customized based on the length and the width of the battery pack bottom plate; the shape of the divided subareas is the same as that of the bottom plate of the battery pack;
numbering a plurality of sub-regions according to a preset numbering direction, and marking as i, wherein i belongs to {1,2, 3.., n }, and n is a positive integer greater than one;
monitoring a coordinate system and a plurality of numbered division subregions to form a region division set and uploading the region division set to a server and a database;
in the embodiment of the invention, the monitoring coordinate system is established and the sub-regions are divided for the battery pack bottom plate, the battery pack bottom plate is divided into a plurality of modules for monitoring and counting, so that more accurate monitoring and evaluation can be implemented for the inside and the outside of the battery pack bottom plate, and the accuracy of monitoring and controlling the fire safety of the battery of the new energy automobile is improved;
the monitoring and counting module comprises a temperature monitoring unit and a pressure monitoring unit;
the temperature monitoring unit is used for monitoring the internal temperature of the point position in the divided sub-area of a plurality of numbers in the area division set; monitoring the ambient temperature outside the bottom plate of the battery pack and setting the ambient temperature as the external temperature; the measurement of the internal temperature can be performed by an infrared sensor, and the measurement of the external temperature can be performed by a temperature sensor;
acquiring and counting the internal temperature and the external temperature at different time points to form a temperature counting set and uploading the temperature counting set to a server and a database;
the pressure monitoring unit is used for monitoring the pressure borne by a plurality of numbered sub-areas in the area division set and setting the pressure as the sub-area pressure; measurements may be made by pressure sensors;
collecting and counting the pressures of the sub-areas at different time points to form a pressure statistic set and uploading the pressure statistic set to a server and a database;
in the embodiment of the invention, by carrying out modularized monitoring statistics on different areas divided by the battery pack bottom plate, more comprehensive monitoring analysis can be realized, and reliable data support is provided for the overall evaluation and control of the subsequent battery pack bottom plate; the specific types of the infrared sensor, the temperature sensor and the pressure sensor are not particularly limited, and those skilled in the art can select common devices in the field according to actual needs;
the monitoring analysis module comprises a temperature analysis unit and a pressure analysis unit;
the temperature analysis unit is used for carrying out modularized analysis processing on the temperature change condition of the point position in the division sub-regions of the plurality of numbers according to the temperature statistic set, and comprises:
obtaining the difference value between a plurality of internal temperatures and external temperatures in the temperature statistical set and setting the difference value as a temperature difference value;
arranging a plurality of temperature difference values in a descending order and carrying out hidden danger analysis;
if the temperature difference value is smaller than the temperature difference threshold value, marking the corresponding temperature difference value as a first temperature difference value, and counting the total times of occurrence of the first temperature difference value to obtain the total times of the first temperature difference;
if the temperature difference value is not less than the temperature difference threshold value and the continuous time length value is less than the time length threshold value, setting the corresponding temperature difference value as a second temperature difference value, and counting the total times of the second temperature difference value to obtain the total times of the second temperature difference; the duration time unit is minutes;
if the temperature difference value is not less than the temperature difference threshold value and the continuous time length value is not less than the time length threshold value, setting the corresponding temperature difference value as a third temperature difference value, and counting the total times of the third temperature difference value to obtain the total times of the third temperature difference;
different temperature difference values and the total occurrence times of the different temperature difference values form a temperature analysis set and are uploaded to a server and a database;
the pressure analysis unit is used for carrying out modularized analysis processing on the pressure conditions of the plurality of numbered sub-division regions according to the pressure statistic set, and comprises:
acquiring the pressure on each divided sub-region, and matching the acquired pressure with a preset pressure threshold;
if the pressure is smaller than the pressure threshold, marking the corresponding pressure as a first pressure, and counting the total times of the first pressure to obtain the total times of the first pressure;
if the pressure is not less than the pressure threshold and not greater than Y% of the pressure threshold, and Y is a real number greater than one hundred, setting the corresponding pressure as a second pressure, and counting the total times of occurrence of the second pressure to obtain the total times of the second pressure;
if the pressure is greater than Y% of the pressure threshold, setting the corresponding pressure as a third pressure, and counting the total times of the third pressure to obtain the total times of the third pressure;
different pressures and total times of occurrence of the different pressures form a pressure analysis set and are uploaded to a server and a database;
in the embodiment of the invention, the collected temperature data and pressure data are processed and classified to judge whether the temperature and the received pressure of the corresponding sub-area are abnormal or not and judge the abnormal degree, and reliable data support is provided for the subsequent risk evaluation of the sub-area division through the previous data processing;
the local evaluation module is used for carrying out local risk evaluation on each sub-division region of the battery pack bottom plate and comprises:
sequentially acquiring a corresponding temperature analysis set and a corresponding pressure analysis set according to the serial numbers of the divided sub-regions; counting the total times YW, the total times EW and the total times SW of the first temperature difference, the total times EW and the third temperature difference in the temperature analysis set, and counting the total times YY, the total times EY and the total times SY of the third pressure in the pressure analysis set;
performing simultaneous integration on each data in the temperature analysis set and the pressure analysis set, and calculating to obtain a sub-state evaluation coefficient FZX of each divided sub-region; the calculation formula of the state evaluation coefficient FZX is as follows:
in the formula, f1, f2, f3 and f4 are different preset scale factors, f1 is more than 0 and less than f2 and less than f3 and less than f4, f1 can be 1.251, f2 can be 2.473, f3 can be 3.422, and f4 can be 4.846;
it should be noted that the sub-state evaluation coefficient is a numerical value used for integrating various items of data monitored in the sub-divided regions to perform overall evaluation on the health state of the sub-divided regions; the values of different scale factors indicate that the weights of corresponding data items are different, the larger the value of the scale factor is, the larger the weight of the corresponding data item is, the larger the calculated evaluation coefficient of the sub-state is, the worse the corresponding battery health state is, and the larger the existing risk is;
when risk evaluation is carried out on each sub-area of the battery pack bottom plate according to the sub-state evaluation coefficient, the sub-state evaluation coefficient is matched with a preset sub-state evaluation range;
if the sub-state evaluation coefficient is smaller than the minimum value of the sub-state evaluation range, judging that the health state of the corresponding sub-region is normal and generating a first fractal signal, and marking the corresponding sub-region as a first sub-region according to the first fractal signal;
if the sub-state evaluation coefficient is not smaller than the minimum value of the sub-state evaluation range and not larger than the maximum value of the sub-state evaluation range, judging that the health state of the corresponding sub-region is slightly abnormal and generating a second fractal signal, and marking the corresponding sub-region as a second sub-region according to the second fractal signal;
if the sub-state evaluation coefficient is larger than the maximum value of the sub-state evaluation range, judging that the health state of the corresponding sub-region is moderate and abnormal, generating a third fractal signal, and marking the corresponding sub-region as a third sub-region according to the third fractal signal;
the sub-state evaluation coefficient, the first fractal signal, the second fractal signal, the third fractal signal and the corresponding first sub-area, second sub-area and third sub-area form a local evaluation set and upload the local evaluation set to a server and a database;
it should be noted that, by performing matching analysis on the obtained sub-state evaluation coefficients, whether the health states of the sub-regions are abnormal and the abnormal degree are judged, and by performing early-stage local analysis and matching, reliable data support can be provided for the overall risk evaluation of the battery pack bottom plate in the later stage;
the overall evaluation module is used for evaluating the overall risk of the battery pack bottom plate according to the local evaluation set and carrying out early warning prompt and control in a self-adaptive manner; the method comprises the following steps:
acquiring a first sub-area, a second sub-area and a third sub-area marked in a local evaluation set;
if the total number of the third sub-regions is larger than P, generating a first early warning signal, and prompting a new energy automobile owner to overhaul according to the first early warning signal;
if the total number of the third sub-regions is not more than P but the total number of the second sub-regions is more than Q, generating a second early warning signal, and prompting a new energy automobile owner to overhaul according to the second early warning signal; p and Q are positive integers, and P is less than Q, for example, P can be 2, and Q can be 4;
if the total number of the third sub-areas is greater than P and the total number of the second sub-areas is greater than Q, generating a third early warning signal, and controlling the new energy automobile to be prohibited from starting according to the third early warning signal;
the overall risk of the battery pack bottom plate is evaluated by integrating the locally abnormal divided sub-regions at the later stage, and early warning prompt and control are carried out in a self-adaptive manner according to the evaluation result, so that the safety of the battery pack bottom plate is improved, the running safety of the battery of the new energy automobile is ensured, and the overall effect of intelligent monitoring control on the fire safety of the battery of the new energy automobile is improved;
in addition, the formulas involved in the above are all obtained by removing dimensions and taking numerical values thereof for calculation, and are obtained by acquiring a large amount of data and performing software simulation to obtain a formula closest to a real situation, and the proportionality coefficient in the formula and each preset threshold value in the analysis process are set by a person skilled in the art according to an actual situation or obtained by simulating a large amount of data.
Example two
As shown in fig. 2, the invention relates to an intelligent monitoring and controlling method for fire safety of a new energy automobile battery, which comprises the following steps:
setting and dividing a battery pack bottom plate to obtain a region division set comprising a monitoring coordinate system and a plurality of numbered sub-region division regions;
monitoring the internal temperature of the point positions in a plurality of numbered divided sub-areas in the area division set, and monitoring the environment temperature outside the battery pack bottom plate to obtain a temperature statistic set; monitoring the pressure on a plurality of numbered sub-divided regions in the region division set to obtain a pressure statistic set;
performing modular analysis processing on the temperature change conditions of the point positions in the plurality of numbered sub-regions according to the temperature statistical set to obtain a temperature analysis set containing different temperature difference values and the total occurrence times of the different temperature difference values;
performing modular analysis processing on the pressure conditions of the plurality of numbered sub-regions according to the pressure statistical set to obtain a pressure analysis set containing different pressures and the total times of occurrence of the different pressures;
carrying out local risk assessment on each sub-region of the battery pack bottom plate according to the temperature analysis set and the pressure analysis set to obtain a local assessment set;
and evaluating the overall risk of the battery pack bottom plate according to the local evaluation set, and carrying out early warning prompt and control in a self-adaptive manner.
In the embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, and for example, a module may be divided into only one logic function, and another division may be implemented in practice.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential attributes thereof.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (9)
1. The intelligent monitoring and control system for the fire safety of the new energy automobile battery is characterized by comprising a region division module, a battery pack bottom plate setting module and a battery pack bottom plate dividing module, wherein a region division set comprising a monitoring coordinate system and a plurality of numbered sub-region division sets is obtained;
the monitoring and counting module is used for monitoring the internal temperature of the point positions in the divided sub-regions of a plurality of numbers in the region division set; monitoring the ambient temperature outside the bottom plate of the battery pack and setting the ambient temperature as the external temperature; collecting and counting the internal temperature and the external temperature at different time points to form a temperature counting set;
the device is also used for monitoring the pressure on a plurality of numbered sub-areas in the area division set and setting the pressure as the sub-area pressure; collecting and counting the pressures of the sub-regions at different time points to form a pressure statistic set;
the temperature analysis unit in the monitoring analysis module is used for carrying out modularized analysis processing on the temperature change conditions of the point positions in the divided sub-regions of the plurality of numbers according to the temperature statistical set to obtain a temperature analysis set;
the pressure analysis unit in the monitoring analysis module is used for performing modular analysis processing on the pressure conditions of the plurality of numbered sub-regions according to the pressure statistic set to obtain a pressure analysis set;
the local evaluation module is used for carrying out local risk evaluation on each divided sub-region of the battery pack bottom plate to obtain a local evaluation set comprising a first sub-region, a second sub-region and a third sub-region;
and the overall evaluation module is used for evaluating the overall risk of the battery pack bottom plate according to the local evaluation set and carrying out early warning prompt and control in a self-adaptive manner.
2. The new energy automobile battery fire safety intelligent monitoring control system according to claim 1, wherein the region partition set obtaining step comprises:
acquiring a middle point of a battery pack bottom plate and setting the middle point as a coordinate origin;
constructing a monitoring coordinate system according to the coordinate origin, the preset coordinate distance and the coordinate direction;
acquiring the length and the width of a bottom plate of a battery pack;
dividing the length and the width of the battery pack bottom plate according to a preset dividing proportion to obtain a dividing length and a dividing width; dividing the length and the width to form a divided sub-region;
numbering and marking a plurality of divided sub-regions according to a preset numbering direction;
and the monitoring coordinate system and the plurality of numbered sub-division regions form a region division set.
3. The new energy automobile battery fire safety intelligent monitoring control system according to claim 1, wherein the acquiring step of the temperature analysis set comprises:
obtaining the difference value between a plurality of internal temperatures and external temperatures in the temperature statistics set and setting the difference value as a temperature difference value; arranging a plurality of temperature difference values in a descending order and carrying out hidden danger analysis;
if the temperature difference value is smaller than the temperature difference threshold value, marking the corresponding temperature difference value as a first temperature difference value, and counting the total times of occurrence of the first temperature difference value to obtain the total times of the first temperature difference;
if the temperature difference value is not less than the temperature difference threshold value and the continuous time length value is less than the time length threshold value, setting the corresponding temperature difference value as a second temperature difference value, and counting the total times of the second temperature difference value to obtain the total times of the second temperature difference;
if the temperature difference value is not less than the temperature difference threshold value and the continuous time length value is not less than the time length threshold value, setting the corresponding temperature difference value as a third temperature difference value, and counting the total times of the third temperature difference value to obtain the total times of the third temperature difference; and the total occurrence times of different temperature difference values and different temperature difference values form a temperature analysis set.
4. The new energy automobile battery fire safety intelligent monitoring control system according to claim 1, wherein the pressure analysis set obtaining step comprises:
acquiring the pressure on each divided sub-region, and matching the acquired pressure with a preset pressure threshold value to obtain a first pressure, a second pressure and a third pressure; counting the total times of the first pressure, the second pressure and the third pressure to obtain the total times of the first pressure, the total times of the second pressure and the total times of the third pressure; the different pressures and the total number of occurrences of the different pressures comprise a pressure analysis set.
5. The new energy automobile battery fire safety intelligent monitoring control system of claim 1, wherein the working steps of the local evaluation module include:
sequentially acquiring a corresponding temperature analysis set and a corresponding pressure analysis set according to the numbers of the divided sub-regions; counting a first temperature difference total time YW, a second temperature difference total time EW and a third temperature difference total time SW in the temperature analysis set, and counting a first pressure total time YY, a second pressure total time EY and a third pressure total time SY in the pressure analysis set;
and simultaneously integrating various data in the temperature analysis set and the pressure analysis set, and calculating to obtain the sub-state evaluation coefficient FZX of each divided sub-region.
6. The new energy automobile battery fire safety intelligent monitoring control system of claim 5, wherein the calculation formula of the sub-state evaluation coefficient FZX is as follows:
in the formula, f1, f2, f3 and f4 are different preset scale factors, and f1 is more than 0 and less than f2 and less than f3 and less than f4.
7. The new energy automobile battery fire safety intelligent monitoring control system is characterized in that when risk assessment is conducted on each sub-region of a battery pack bottom plate according to the sub-state assessment coefficient, the sub-state assessment coefficient is matched with a preset sub-state assessment range, and a first fractal signal, a second fractal signal and a third fractal signal and the corresponding first sub-region, second sub-region and third sub-region are obtained; the first, second and third fractal signals and the corresponding first, second and third sub-regions constitute a local evaluation set.
8. The new energy automobile battery fire safety intelligent monitoring control system of claim 1, wherein the working steps of the overall evaluation module include:
acquiring a first sub-area, a second sub-area and a third sub-area marked in a local evaluation set;
if the total number of the third sub-areas is larger than P, generating a first early warning signal and prompting a new energy automobile owner to overhaul;
if the total number of the third sub-regions is not more than P and the total number of the second sub-regions is more than Q, generating a second early warning signal and prompting a new energy automobile owner to overhaul; p and Q are positive integers, and P is less than Q;
and if the total number of the third sub-areas is greater than P and the total number of the second sub-areas is greater than Q, generating a third early warning signal and controlling the new energy automobile to be prohibited from starting.
9. A new energy automobile battery fire safety intelligent monitoring control method is applied to the new energy automobile battery fire safety intelligent monitoring control system of any one of claims 1-8, and is characterized by comprising the following steps:
setting and dividing a battery pack bottom plate to obtain a region division set comprising a monitoring coordinate system and a plurality of numbered sub-region division regions;
monitoring the internal temperature of the point positions in a plurality of numbered division sub-regions in the region division set, and monitoring the environment temperature outside the battery pack bottom plate to obtain a temperature statistic set; monitoring the pressure on a plurality of numbered sub-divided regions in the region division set to obtain a pressure statistic set;
performing modular analysis processing on the temperature change conditions of the point positions in the plurality of numbered sub-regions according to the temperature statistical set to obtain a temperature analysis set containing different temperature difference values and the total occurrence times of the different temperature difference values;
performing modularized analysis processing on the pressure conditions of a plurality of numbered sub-regions according to the pressure statistical set to obtain a pressure analysis set containing different pressures and total times of occurrence of the different pressures;
carrying out local risk assessment on each sub-region of the battery pack bottom plate according to the temperature analysis set and the pressure analysis set to obtain a local assessment set;
and evaluating the overall risk of the battery pack bottom plate according to the local evaluation set, and carrying out early warning prompt and control in a self-adaptive manner.
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