CN117445672A

CN117445672A - Vehicle safety risk assessment and early warning method and device for hydrogen fuel cell automobile

Info

Publication number: CN117445672A
Application number: CN202311605573.2A
Authority: CN
Inventors: 王震坡; 龙超华; 刘鹏; 韩冰; 祁春玉; 胡坚; 吴濠辉
Original assignee: Beijing Bitnei Corp ltd
Current assignee: Beijing Bitnei Corp ltd
Priority date: 2023-11-28
Filing date: 2023-11-28
Publication date: 2024-01-26

Abstract

The invention relates to the technical field of automobile safety, and discloses a method and a device for evaluating and early warning the safety risk of a vehicle of a hydrogen fuel cell automobile. Meanwhile, safety risk assessment of the hydrogen system in the hydrogen fuel cell automobile to be assessed can be achieved according to the hydrogen system data set. Furthermore, the three obtained safety risk assessment scores are combined to carry out safety risk assessment on the hydrogen fuel cell automobile to be assessed, and compared with a traditional assessment method, the comprehensiveness of safety risk assessment of the automobile is improved. Further, according to the evaluation result, early warning information is sent to the corresponding client in real time, and safety real-time early warning of the hydrogen fuel cell automobile to be evaluated can be achieved.

Description

Vehicle safety risk assessment and early warning method and device for hydrogen fuel cell automobile

Technical Field

The invention relates to the technical field of automobile safety, in particular to a vehicle safety risk assessment and early warning method and device of a hydrogen fuel cell automobile.

Background

The current vehicle-mounted terminal has a disadvantage of carrying out safety risk assessment and early warning on a hydrogen fuel cell automobile, namely, a real-time, accurate and effective risk assessment early warning method for a vehicle power battery system and a hydrogen system is lacked. The existing vehicle-mounted terminal only collects voltage and temperature values for analysis on a power battery system of a hydrogen fuel battery automobile, and risk assessment and early warning on a battery thermal runaway condition are difficult to accurately perform. The safety evaluation of the hydrogen system of the vehicle is often carried out by manually detecting the hydrogen system on a regular site, so that the requirement of timely and accurately finding the safety risk of the vehicle battery and the hydrogen system is difficult to meet, the potential safety hazard of the vehicle is caused, and the safety risk evaluation of the vehicle by the original terminal is not comprehensive.

Disclosure of Invention

In view of the above, the invention provides a method and a device for evaluating and early warning the safety risk of a hydrogen fuel cell automobile, which are used for solving the problems that the prior power cell system of the hydrogen fuel cell automobile is in thermal runaway condition and the safety risk evaluation of the hydrogen system is difficult to meet the requirements of timeliness and accuracy.

In a first aspect, the invention provides a vehicle safety risk assessment and early warning method of a hydrogen fuel cell automobile, which is used for an intelligent vehicle-mounted terminal, wherein the intelligent vehicle-mounted terminal is connected with a client; the method comprises the following steps:

Acquiring a fault code data set, an initial single cell voltage data set, an initial single cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of a hydrogen fuel cell automobile to be evaluated; processing the fault code data set through a preset judging method and a risk quantifying method to obtain a first security risk assessment score; based on the initial single battery voltage data set, the initial single battery temperature data set, the battery pack air pressure data set and the smoke concentration data set, performing security risk assessment on a power battery system in the hydrogen fuel cell automobile to be assessed to obtain a second security risk assessment score; performing security risk assessment on the hydrogen system in the hydrogen fuel cell automobile to be assessed based on the initial hydrogen system data set to obtain a third security risk assessment score; based on the first security risk assessment score, the second security risk assessment score and the third security risk assessment score, determining a security risk assessment result of the hydrogen fuel cell automobile to be assessed, and sending early warning information to the client based on the security risk assessment result.

According to the vehicle safety risk assessment and early warning method for the hydrogen fuel cell automobile, provided by the invention, on the basis of voltage and temperature, the safety risk assessment of a power battery system in the hydrogen fuel cell automobile to be assessed can be realized by innovatively analyzing the combination of air pressure and smoke data. Meanwhile, safety risk assessment of the hydrogen system in the hydrogen fuel cell automobile to be assessed can be achieved according to the hydrogen system data set. Furthermore, the three obtained safety risk assessment scores are combined to carry out safety risk assessment on the hydrogen fuel cell automobile to be assessed, and compared with a traditional assessment method, the comprehensiveness of safety risk assessment of the automobile is improved. Further, according to the evaluation result, early warning information is sent to the corresponding client in real time, and safety real-time early warning of the hydrogen fuel cell automobile to be evaluated can be achieved.

In an alternative embodiment, the processing the fault code dataset through a preset judging method and a risk quantifying method to obtain a first security risk assessment score includes:

processing the fault code data set by a preset judging method to obtain the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated; performing quantization processing on the target fault item data corresponding to each fault item alarm event by using a risk quantization method to obtain a plurality of quantized values; a first security risk assessment score is calculated based on a total number of hydrogen fuel cell vehicle malfunction term alarm events to be assessed and a plurality of quantified values.

According to the invention, through evaluating and quantifying the strong related fault items, the corresponding security risk evaluation score can be obtained, and data support is provided for subsequent vehicle security risk evaluation.

In an alternative embodiment, the fault code data set is processed by a preset judging method to obtain the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated, which comprises the following steps:

judging whether at least one continuous target frame number target fault item data exists in the fault code data set or not; when at least one continuous target frame number of target fault item data exists in the fault code data set, judging whether each target fault item data meets a preset alarm level or not; and when each target fault item data meets a preset alarm level, determining the total number of fault item alarm events of the hydrogen fuel cell automobile to be evaluated.

According to the invention, through target fault item data evaluation and combination with the alarm level, the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated can be determined, and data support is provided for subsequent vehicle safety risk evaluation.

In an alternative embodiment, performing a security risk assessment on a power cell system in a hydrogen fuel cell vehicle to be assessed based on an initial cell voltage dataset, an initial cell temperature dataset, a cell pack air pressure dataset, and a smoke concentration dataset, to obtain a second security risk assessment score, comprising:

processing the initial single battery voltage data set and the initial single battery temperature data set respectively to obtain a target single battery voltage data set and a target single battery temperature data set; performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set, the target single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set to obtain a target thermal runaway detection result; a second security risk assessment score is determined based on the thermal runaway detection result.

Based on voltage and temperature, the invention innovatively combines air pressure and smoke data to detect thermal runaway of the power battery system, thereby realizing the safety risk assessment of the power battery system in the hydrogen fuel cell automobile to be assessed.

In an alternative embodiment, performing thermal runaway detection on a power cell system in a hydrogen fuel cell vehicle to be evaluated based on a target cell voltage dataset, a target cell temperature dataset, a cell pack air pressure dataset, and a smoke concentration dataset to obtain a target thermal runaway detection result, including:

performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set and the target single cell temperature data set to obtain a first thermal runaway detection result; performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the battery pack air pressure data set to obtain a second thermal runaway detection result; performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the smoke concentration data set to obtain a third thermal runaway detection result; the target thermal runaway detection result is determined based on the first thermal runaway detection result, the second thermal runaway detection result, and the third thermal runaway detection result.

In an alternative embodiment, performing a security risk assessment on the hydrogen system in the hydrogen fuel cell vehicle to be assessed based on the initial hydrogen system data set to obtain a third security risk assessment score, comprising:

Performing filtering pretreatment on the initial hydrogen system data set to obtain a target hydrogen system data set; based on the target hydrogen system data set, carrying out safety analysis on a hydrogen system in the hydrogen fuel cell automobile to be evaluated to obtain a hydrogen system safety analysis result; a third security risk assessment score is determined based on the hydrogen system security analysis results.

According to the hydrogen system data set, the safety risk assessment of the hydrogen system in the hydrogen fuel cell automobile to be assessed can be realized, and support is provided for the subsequent and more comprehensive realization of the safety risk assessment of the automobile.

In an alternative embodiment, based on the target hydrogen system data set, performing safety analysis on the hydrogen system in the hydrogen fuel cell automobile to be evaluated to obtain a hydrogen system safety analysis result, including:

monitoring hydrogen of a hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen leakage analysis result; monitoring the pressure of a hydrogen storage bottle of a hydrogen system in the hydrogen fuel cell automobile to be evaluated based on a target hydrogen system data set to obtain an overpressure result of the hydrogen storage bottle; monitoring the temperature of a hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen system temperature monitoring result; and determining a hydrogen system safety analysis result based on the hydrogen leakage analysis result, the hydrogen storage bottle overpressure result and the hydrogen system temperature monitoring result.

In a second aspect, the invention provides a vehicle safety risk assessment and early warning device of a hydrogen fuel cell automobile, which is used for an intelligent vehicle-mounted terminal, wherein the intelligent vehicle-mounted terminal is connected with a client; the device comprises:

the acquisition module is used for acquiring a fault code data set, an initial single cell voltage data set, an initial single cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of the hydrogen fuel cell automobile to be evaluated; the processing module is used for processing the fault code data set through a preset judging method and a risk quantifying method to obtain a first security risk assessment score; the first evaluation module is used for carrying out security risk evaluation on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the initial single cell voltage data set, the initial single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set to obtain a second security risk evaluation score; the second evaluation module is used for carrying out security risk evaluation on the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the initial hydrogen system data set to obtain a third security risk evaluation score; the determining module is used for determining a safety risk assessment result of the hydrogen fuel cell automobile to be assessed based on the first safety risk assessment score, the second safety risk assessment score and the third safety risk assessment score, and sending early warning information to the client based on the safety risk assessment result.

In a third aspect, the present invention provides a computer device comprising: the hydrogen fuel cell vehicle safety risk assessment and early warning method comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the vehicle safety risk assessment and early warning method of the hydrogen fuel cell vehicle according to the first aspect or any corresponding implementation mode.

In a fourth aspect, the present invention provides a computer readable storage medium, on which computer instructions are stored, the computer instructions being configured to cause a computer to perform the vehicle safety risk assessment and early warning method of the hydrogen fuel cell automobile according to the first aspect or any one of the embodiments corresponding to the first aspect.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for evaluating and warning the risk of vehicle safety of a hydrogen fuel cell vehicle according to an embodiment of the invention;

FIG. 2 is a flow chart of a method for evaluating and pre-warning the safety risk of a vehicle of another hydrogen fuel cell vehicle according to an embodiment of the invention;

FIG. 3 is a flow chart of a method for evaluating and pre-warning the risk of vehicle safety of a hydrogen fuel cell vehicle according to an embodiment of the invention;

FIG. 4 is a flow chart of a method for evaluating and pre-warning the safety risk of a hydrogen fuel cell vehicle according to an embodiment of the invention;

FIG. 5A is a flow chart of a security risk assessment of a fault code data assessment model in accordance with an embodiment of the present invention;

FIG. 5B is a thermal runaway risk early warning model security risk assessment flow chart according to an embodiment of the invention;

FIG. 5C is a thermal runaway risk early warning model building flowchart according to an embodiment of the invention;

FIG. 5D is a flow chart of a hydrogen system safety analysis early warning model safety risk assessment in accordance with an embodiment of the present invention;

FIG. 6A is a flow chart of hydrogen leak determination for a hydrogen system according to an embodiment of the invention;

FIG. 6B is a flow chart of hydrogen system hydrogen storage bottle overpressure determination in accordance with an embodiment of the invention;

FIG. 6C is a flow chart of hydrogen system temperature determination according to an embodiment of the present invention;

FIG. 7 is a block diagram of a vehicle safety risk assessment and early warning device for a hydrogen fuel cell automobile according to an embodiment of the present invention;

fig. 8 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

At present, the thermal runaway condition of a power battery system of a hydrogen fuel battery automobile and the safety risk assessment of the hydrogen system are difficult to meet the timely and accurate demands.

The embodiment of the invention provides a vehicle safety risk assessment and early warning method for a hydrogen fuel cell automobile of an intelligent vehicle-mounted terminal, which is used for carrying out safety risk assessment on the hydrogen fuel cell automobile to be assessed by combining three obtained safety risk assessment scores so as to realize comprehensive safety risk assessment of the vehicle.

According to an embodiment of the present invention, there is provided an embodiment of a method for evaluating and warning a safety risk of a vehicle of a hydrogen fuel cell vehicle, it being noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical sequence is shown in the flowchart, in some cases the steps shown or described may be performed in a different order than herein.

The vehicle safety risk assessment and early warning method of the hydrogen fuel cell automobile is provided in the embodiment and can be used for an intelligent vehicle-mounted terminal, and the intelligent vehicle-mounted terminal is connected with a client. Fig. 1 is a flowchart of a vehicle safety risk assessment and early warning method of a hydrogen fuel cell automobile according to an embodiment of the invention, as shown in fig. 1, the flowchart includes the following steps:

step S101, acquiring a fault code data set, an initial single cell voltage data set, an initial single cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of the hydrogen fuel cell automobile to be evaluated.

Wherein the fault code dataset represents a plurality of fault alarm data for the hydrogen fuel cell vehicle under evaluation.

Specifically, the fault code data set of the hydrogen fuel cell automobile to be evaluated can be collected and stored through the intelligent vehicle-mounted terminal.

Further, an initial cell voltage dataset v= { V may be acquired ₁ ,V ₂ ,…,V _n And an initial cell temperature dataset t= { T ₁ ,T ₂ ,…,T _n And stored in time-stamped order. Wherein the initial cell temperature dataset may be obtained by a temperature probe.

Further, a fuel cell vehicle under evaluation can be collected from the fuel cell package air pressure dataset and the smoke concentration dataset. The smoke concentration data set can be obtained through a smoke sensor in the hydrogen fuel cell automobile to be evaluated.

Further, an initial hydrogen system data set corresponding to a hydrogen system in a hydrogen fuel cell vehicle to be evaluated may be acquired, which may include: hydrogen concentration, hydrogen storage bottle pressure, hydrogen bottle temperature, etc.

Step S102, processing the fault code data set through a preset judging method and a risk quantifying method to obtain a first security risk assessment score.

Specifically, the safety risk assessment and quantification are carried out on the hydrogen fuel cell automobile to be assessed through the fault code data set, so that a corresponding first safety risk assessment score can be obtained.

Step S103, based on the initial single cell voltage data set, the initial single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set, carrying out security risk assessment on a power battery system in the hydrogen fuel cell automobile to be assessed, and obtaining a second security risk assessment score.

Specifically, based on the initial single battery voltage data set and the initial single battery temperature data set which are collected conventionally, the battery pack air pressure data set and the smoke concentration data set are combined at the same time, so that the safety risk assessment of the power battery system in the hydrogen fuel battery automobile to be assessed can be realized, and the corresponding safety risk assessment score can be obtained.

And step S104, carrying out security risk assessment on the hydrogen system in the hydrogen fuel cell automobile to be assessed based on the initial hydrogen system data set to obtain a third security risk assessment score.

Specifically, the safety risk assessment of the hydrogen system in the hydrogen fuel cell automobile to be assessed can be realized by the acquired initial hydrogen system data, and the corresponding safety risk assessment score is obtained.

Step S105, based on the first security risk assessment score, the second security risk assessment score and the third security risk assessment score, determining a security risk assessment result of the hydrogen fuel cell car to be assessed, and sending early warning information to the client based on the security risk assessment result.

Specifically, the three obtained security risk assessment scores are combined to carry out security risk assessment on the hydrogen fuel cell automobile to be assessed, and compared with a traditional assessment method, the comprehensiveness of the security risk assessment of the automobile can be improved.

Wherein the total safety risk assessment score of the hydrogen fuel cell automobile to be assessed is calculated using the following relation (1):

wherein: p represents the total safety risk assessment score of the hydrogen fuel cell car to be assessed; x is X _i A weight value representing a weight assigned to each security risk assessment score; p is p _i Representing the ith security risk assessment score (i.e., the first security risk assessment score, the second security risk assessment score, and the third security risk assessment score).

Further, the intelligent vehicle-mounted terminal is connected with the corresponding client.

Further, the intelligent vehicle-mounted terminal can send corresponding early warning information to the client in real time according to the obtained security risk assessment result.

According to the vehicle safety risk assessment and early warning method for the hydrogen fuel cell automobile, on the basis of voltage and temperature, the safety risk assessment of a power battery system in the hydrogen fuel cell automobile to be assessed can be achieved by innovatively combining air pressure and smoke data for analysis. Meanwhile, safety risk assessment of the hydrogen system in the hydrogen fuel cell automobile to be assessed can be achieved according to the hydrogen system data set. Furthermore, the three obtained safety risk assessment scores are combined to carry out safety risk assessment on the hydrogen fuel cell automobile to be assessed, and compared with a traditional assessment method, the comprehensiveness of safety risk assessment of the automobile is improved. Further, according to the evaluation result, early warning information is sent to the corresponding client in real time, and safety real-time early warning of the hydrogen fuel cell automobile to be evaluated can be achieved.

In this embodiment, a vehicle security risk assessment and early warning method for a hydrogen fuel cell vehicle is provided, which may be used for an intelligent vehicle-mounted terminal, where the intelligent vehicle-mounted terminal is connected with a client, and fig. 2 is a flowchart of the vehicle security risk assessment and early warning method for a hydrogen fuel cell vehicle according to an embodiment of the present invention, as shown in fig. 2, where the flowchart includes the following steps:

step S201, acquiring a fault code data set, an initial cell voltage data set, an initial cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of the hydrogen fuel cell automobile to be evaluated. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.

Step S202, processing the fault code data set through a preset judging method and a risk quantifying method to obtain a first security risk assessment score.

Specifically, the step S202 includes:

in step S2021, the fault code data set is processed by a preset judging method, so as to obtain the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated.

Specifically, the fault code data set is used for judging and evaluating, so that the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated can be obtained.

In some alternative embodiments, step S2021 described above comprises:

and a1, judging whether at least one continuous target frame number target fault item data exists in the fault code data set.

And a2, judging whether each target fault item data meets a preset alarm level or not when at least one target fault item data with continuous target frame number exists in the fault code data set.

And a3, determining the total number of fault item alarm events of the hydrogen fuel cell automobile to be evaluated when each target fault item data meets a preset alarm level.

Specifically, whether one or more data which accords with a strong related fault item (such as total temperature difference alarm, driving motor, engine fault alarm, total voltage alarm, insulation alarm, vehicle-mounted energy storage device type overcharge and the like) and is in continuous three frames in a fault code data set of the hydrogen fuel cell automobile to be evaluated, namely target fault item data, are judged.

Further, if the target fault item data are present, whether the corresponding target fault item data reach three-level alarm is continuously judged, if the target fault item data reach three-level alarm is judged, corresponding fault item alarm events are output, and the total number of the corresponding fault item alarm events of the hydrogen fuel cell automobile to be evaluated can be obtained.

In step S2022, the target fault item data corresponding to each fault item alarm event is quantized by using a risk quantization method, so as to obtain a plurality of quantized values.

Specifically, the risk quantization table is used for performing the security risk quantization of the percentage system on each target fault item data according to the fault code data evaluation risk quantization table shown in the following table 1, so as to obtain a corresponding quantized value:

table 1, fault code data evaluation risk quantization table

Step S2023 calculates a first security risk assessment score based on the total number of malfunction item alarm events and the plurality of quantized values for the hydrogen fuel cell vehicle under evaluation.

Specifically, the first security risk assessment score P can be calculated using the following relation (2) ₁ ：

Wherein: n represents the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated; p is p _i Representing a quantized value corresponding to each fault item alarm event.

The total score is 100, the sum of the quantization percentages of each early warning event is subtracted, and if the score is a negative value, the score is 0.

In one example, if an insulation abnormality occurs once a week in a certain car, the percentage is quantified as 10, and the total voltage overvoltage occurs once within 30 days, and the percentage is quantified as 2, the risk assessment score is 88.

Step S203, performing a security risk assessment on the power battery system in the hydrogen fuel cell automobile to be assessed based on the initial single cell voltage data set, the initial single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set, to obtain a second security risk assessment score.

Specifically, the step S203 includes:

step S2031, processing the initial single cell voltage data set and the initial single cell temperature data set respectively to obtain a target single cell voltage data set and a target single cell temperature data set.

Specifically, for the initial cell voltage dataset v= { V ₁ ,V ₂ ,…,V _n And an initial cell temperature dataset t= { T ₁ ,T ₂ ,…,T _n Moving average filtering is applied separately to smooth the data and remove outliers in the short term. Let the filter window size be ω (window size varies according to the actual situation). The filtered voltage data is τv and the filtered temperature data is τt.

Wherein the moving average formula (for each data point i) is shown in the following relations (3) and (4):

further, the deviation between each data point and its corresponding filtered value is calculated, and the specific deviation calculation formulas are shown in the following relational expressions (5) and (6):

DVi＝Vi-τVi (5)

DTi＝Ti-τTi (6)

Further, standard deviation calculation is performed on the deviation data set to measure the degree of dispersion of the deviation. The standard deviation of the voltage data is σv, the standard deviation of the temperature data is σt, and the following relations (7) and (8) are shown, respectively:

further, the abnormal value detection condition is: using the 3-fold standard deviation method to determine the threshold, deviations exceeding 3-fold standard deviation are considered sporadic outliers as shown in the following relationships (9) and (10):

Threshold_V＝3*σV (9)

Threshold_T＝3*σT (10)

specifically, if DVi > threshold_v or DTi > threshold_t is detected, the detected sporadic outliers are removed from the original data set, resulting in a voltage data set τv and a temperature data set τt from which outliers are removed.

Step S2032, performing thermal runaway detection on the power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set, the target single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set, to obtain a target thermal runaway detection result.

Specifically, on the basis of the target single battery voltage data set and the target single battery temperature data set, the battery pack air pressure data set and the smoke concentration data set are combined to perform thermal runaway detection on the power battery system in the hydrogen fuel cell automobile to be evaluated, so that the detection comprehensiveness can be improved.

In some optional embodiments, step S2032 includes:

and b1, performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set and the target single cell temperature data set to obtain a first thermal runaway detection result.

Firstly, judging whether delta T is more than or equal to 20 ℃ and the abnormality lasts for more than 5 frames according to a target single battery temperature data set, and alarming if the delta T is more than or equal to 20 ℃ and the abnormality is more than 5 frames, wherein the temperature difference is overlarge;

secondly, judging whether Tmax is more than or equal to 70 ℃ and continuously triggering 5 frames, if so, outputting an excessive temperature alarm, (delta T is more than 15 ℃ and Tmax is more than 60 ℃ and is usually used as a threshold value of failure of a battery thermal management system), and considering a thermal safety scene, and determining delta T (15+5 ℃) and Tmax (60+10 ℃) as overheat boundaries;

then, judging the single voltage according to the target single battery voltage data set, judging whether the minimum value of the single voltage value is smaller than or equal to 2V value, and outputting an excessive low voltage alarm if the minimum value is satisfied;

and finally, judging whether the voltage difference of the single body is larger than 150mv and the abnormal frame time is larger than or equal to 20 frames, and outputting an excessive pressure difference alarm if the abnormal frame time is satisfied.

And b2, performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the battery pack air pressure data set to obtain a second thermal runaway detection result.

Specifically, the internal air pressure of the battery pack which is in normal operation should be consistent with the external atmospheric pressure and be 101kPa. When the single battery releases a large amount of high-temperature gas in a thermal runaway way, the air pressure in the battery pack rises rapidly, generally reaches more than 120kPa, and after a pressure release valve (explosion-proof valve) of the battery pack is triggered, the air pressure drops rapidly. After a subsequent thermal runaway of the second monomer, the gas pressure will rise again. The air pressure trigger conditions and recommended thresholds are shown in table 2 below, and if the trigger conditions are reached, an air pressure too high or an air pressure rising too fast signal is output.

TABLE 2 barometric trigger conditions and recommended threshold tables

Signal source	Trigger condition	Trigger condition
			Air pressure value	Too high air pressure	The air pressure value is larger than or equal to a certain value (recommended 120 kPa)
Rate of change of air pressure	The pressure rise is too fast	The air pressure change speed is greater than a certain value (recommended 10 kPa/s)

Specifically, by performing the detection in table 2 above, the corresponding second thermal runaway detection result can be obtained.

And b3, performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the smoke concentration data set to obtain a third thermal runaway detection result.

Specifically, the dust concentration in the air is generally not more than 1000, in order to avoid false alarm of thermal runaway, whether the smoke value is more than 5000 and lasts for 1s is judged, and if the trigger condition is reached, a smoke concentration too high signal is output. Wherein, the smoke trigger condition and recommended threshold are shown in table 3 below:

TABLE 3 Smoke trigger conditions and recommended threshold tables

Specifically, by performing the detection in table 3 above, a corresponding third thermal runaway detection result can be obtained.

And step b4 of determining a target thermal runaway detection result based on the first thermal runaway detection result, the second thermal runaway detection result, and the third thermal runaway detection result.

Specifically, the obtained first thermal runaway detection result, the second thermal runaway detection result and the third thermal runaway detection result are combined and the power battery system in the hydrogen fuel cell automobile to be evaluated is evaluated, so that the corresponding target thermal runaway detection result can be obtained.

Wherein, according to the description of the above steps b1 to b3, the target thermal runaway detection result may include: the method comprises the steps of overvoltage of the monomer voltage, undervoltage of the monomer voltage, overlarge voltage difference of the monomer, overlarge temperature difference of the monomer, overhigh temperature of the monomer, early warning of air pressure in a battery pack, early warning of smoke dust concentration and the like.

Step S2033, determining a second security risk assessment score based on the thermal runaway detection result.

Specifically, the second security risk assessment score may be determined according to the power battery system score reference table shown in table 4 below:

table 4, power cell system score reference table

And step S204, carrying out security risk assessment on the hydrogen system in the hydrogen fuel cell automobile to be assessed based on the initial hydrogen system data set to obtain a third security risk assessment score. Please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.

Step S205, based on the first security risk assessment score, the second security risk assessment score and the third security risk assessment score, determining a security risk assessment result of the hydrogen fuel cell car to be assessed, and sending early warning information to the client based on the security risk assessment result. Please refer to step S105 in the embodiment shown in fig. 1 in detail, which is not described herein.

According to the vehicle safety risk assessment and early warning method for the hydrogen fuel cell automobile, the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be assessed can be determined through the target fault item data assessment and the alarm level. Meanwhile, by combining the quantized value of the target fault item data, a corresponding first security risk assessment score can be obtained. Furthermore, based on voltage and temperature, the power battery system is innovatively subjected to thermal runaway detection by combining air pressure and smoke data, so that the safety risk assessment of the power battery system in the hydrogen fuel cell automobile to be assessed can be realized. Meanwhile, safety risk assessment of the hydrogen system in the hydrogen fuel cell automobile to be assessed can be achieved according to the hydrogen system data set. Furthermore, the three obtained safety risk assessment scores are combined to carry out safety risk assessment on the hydrogen fuel cell automobile to be assessed, and compared with a traditional assessment method, the comprehensiveness of safety risk assessment of the automobile is improved. Further, according to the evaluation result, early warning information is sent to the corresponding client in real time, and safety real-time early warning of the hydrogen fuel cell automobile to be evaluated can be achieved.

In this embodiment, a vehicle security risk assessment and early warning method for a hydrogen fuel cell vehicle is provided, which may be used for an intelligent vehicle-mounted terminal, where the intelligent vehicle-mounted terminal is connected with a client, fig. 1 is a flowchart of the vehicle security risk assessment and early warning method for a hydrogen fuel cell vehicle according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:

step S301, acquiring a fault code data set, an initial cell voltage data set, an initial cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of the hydrogen fuel cell automobile to be evaluated. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.

Step S302, the fault code data set is processed through a preset judging method and a risk quantifying method to obtain a first security risk assessment score. Please refer to step S202 in the embodiment shown in fig. 2, which is not described herein.

Step S303, carrying out security risk assessment on a power battery system in the hydrogen fuel cell automobile to be assessed based on the initial single cell voltage data set, the initial single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set, and obtaining a second security risk assessment score. Please refer to step S203 in the embodiment shown in fig. 2 in detail, which is not described herein.

And step S304, carrying out security risk assessment on the hydrogen system in the hydrogen fuel cell automobile to be assessed based on the initial hydrogen system data set to obtain a third security risk assessment score.

Specifically, the step S304 includes:

and step S3041, performing filtering pretreatment on the initial hydrogen system data set to obtain a target hydrogen system data set.

Specifically, the initial hydrogen system data set is subjected to filtering processing, so that a corresponding target hydrogen system data set after the filtering processing can be obtained. The filtering preprocessing may refer to the moving average filtering processing in step S2031, which is not described herein.

And step S3042, based on the target hydrogen system data set, carrying out safety analysis on the hydrogen system in the hydrogen fuel cell automobile to be evaluated to obtain a hydrogen system safety analysis result.

In some alternative embodiments, step S3042 includes:

and c1, monitoring the hydrogen of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen leakage analysis result.

And c2, monitoring the pressure of the hydrogen storage bottle of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain an overpressure result of the hydrogen storage bottle.

And c3, monitoring the temperature of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen system temperature monitoring result.

And c4, determining a hydrogen system safety analysis result based on the hydrogen leakage analysis result, the hydrogen storage bottle overpressure result and the hydrogen system temperature monitoring result.

First, the hydrogen leakage condition is judged:

(1) Monitoring the hydrogen concentration, and judging whether the hydrogen concentration exceeds a preset alarm value;

(2) Judging whether the pressure value of the hydrogen storage bottle is decreasing.

Secondly, judging the overpressure condition of the hydrogen storage bottle: according to the pressure data of the hydrogen storage bottle contained in the collected target hydrogen system data set, whether the preset nominal pressure threshold value is exceeded or not can be judged.

Finally, judging the temperature condition of the hydrogen system: judging according to the hydrogen bottle temperature data contained in the collected target hydrogen system data set, namely judging whether the hydrogen bottle temperature exceeds a preset nominal temperature value or is lower than-20 ℃.

Specifically, the hierarchical alarm numerical threshold involved in the above-mentioned judgment process may be set by the user through remote configuration, and the rules are as follows in table 5:

table 5, hydrogen system safety analysis grading alarm numerical threshold value table

Specifically, the above hydrogen leakage condition, the hydrogen storage bottle overpressure condition and the hydrogen system temperature condition are respectively judged through the above table 5, so that the corresponding hydrogen system safety analysis result can be obtained.

Wherein, according to the above table 5, the hydrogen system safety analysis result may include: the method comprises the following steps of hydrogen pressure primary alarm, hydrogen pressure secondary alarm, hydrogen pressure tertiary alarm, hydrogen system temperature primary alarm, hydrogen system temperature secondary alarm, hydrogen system temperature tertiary alarm, hydrogen leakage primary alarm, hydrogen leakage secondary alarm and hydrogen leakage tertiary alarm.

Step S3043, determining a third security risk assessment score based on the hydrogen system security analysis result.

Specifically, the second security risk assessment score may be determined according to the hydrogen system score reference table shown in table 6 below:

TABLE 6 hydrogen System score reference Table

Step S305, determining a security risk assessment result of the hydrogen fuel cell vehicle to be assessed based on the first security risk assessment score, the second security risk assessment score and the third security risk assessment score, and sending early warning information to the client based on the security risk assessment result. Please refer to step S105 in the embodiment shown in fig. 1 in detail, which is not described herein.

In an example, as shown in fig. 4, a vehicle safety risk assessment and early warning method for a hydrogen fuel cell vehicle is provided, including:

as shown in fig. 5A, the security risk assessment by the fault code data assessment model includes:

step 1: the intelligent vehicle-mounted terminal collects and stores the data of the whole vehicle fault codes.

Step 2: the terminal judges whether the vehicle fault alarm data has one or more fault items (the fault items comprise total temperature difference alarm, driving motor and engine fault alarm, total voltage alarm, insulation alarm and vehicle-mounted energy storage device type overcharge) which are in accordance with strong correlation and whether the vehicle fault alarm data are continuous for three frames; whether three-level alarm is achieved; and if the conditions are met, outputting a corresponding fault item alarm.

Step 3: the fault code data evaluation model analyzes the collected fault code data. The model subjects the vehicle strong correlation term faults to percent security risk quantification for fault code data collected in nearly 90 days, see table 1 above.

Step 4: the fault code data evaluation model calculates a security evaluation score by using the relation (2), and the security evaluation score is obtained by quantitatively calculating the number of each early warning event. The total score is 100, the sum of the quantized percentages of each early warning event is subtracted, and if the score is a negative value, the score is 0.

(II) as shown in FIG. 5B, the safety evaluation of the power battery system by the thermal runaway risk early warning model includes:

step 1: terminal acquisition single battery voltage data set V= { V ₁ ,V ₂ ,…,V _n Sum temperature probe temperature dataset t= { T ₁ ,T ₂ ,…,T _n And stored in time stamp order.

Step 2: the terminal performs preprocessing on the data, and the specific processing procedure refers to the description of step S2031.

Step 3: refer to step b1.

Step 4: the terminal collects the air pressure data in the battery pack and carries out thermal runaway detection, and the specific process refers to the step b2.

Step 5: the terminal carries out thermal runaway detection through the smoke alarm value output by the smoke sensor, and the specific process refers to the step b3.

Step 6: referring to table 4 above, the terminal evaluates and scores the power cell system. Compared with the traditional method for analyzing the temperature and the voltage of only the combined single battery, under the premise that the detection speed is guaranteed by the evaluation of the temperature, the voltage, the air pressure and the smoke, the probability of missing report of the thermal runaway risk is effectively reduced, and the accuracy of the safety risk evaluation of the power battery is greatly improved. And the thermal runaway risk assessment and early warning output by the terminal are timely sent to the platform, so that the instantaneity is guaranteed.

The thermal runaway risk early warning model is constructed as shown in fig. 5C.

(III) as shown in FIG. 5D, performing risk assessment and early warning on the hydrogen system through a hydrogen system safety analysis early warning model:

step one: the terminal collects hydrogen system data, performs preprocessing filtering and is used for subsequent combined analysis and early warning judgment.

Step two: as shown in fig. 6A, the hydrogen leakage condition is judged, referring to the description of S3042 above.

Step three: as shown in fig. 6B, the hydrogen storage bottle overpressure condition is judged, as described above with reference to S3042.

Step four: as shown in fig. 6C, the hydrogen system temperature condition is judged, referring to the description of S3042 above.

Step five: and (3) evaluating and scoring the hydrogen system according to the table 6, generating a risk evaluation result, and realizing the evaluation of the safety of the hydrogen system by the vehicle-mounted terminal.

And (IV) integrating three models, and carrying out security risk assessment on the whole vehicle:

the calculation results of the three models are integrated, and the weight distribution can be determined according to the requirements of different vehicle types and manufacturers by adopting modes such as linear weighting and the like. And finally, reporting the risk assessment to a platform in time. And a scoring formula for evaluating the overall safety risk of the whole vehicle in a linear weighting mode is shown in the relation (1).

According to the vehicle safety risk assessment and early warning method for the hydrogen fuel cell automobile, the thermal runaway risk assessment early warning model and the hydrogen system analysis early warning model aiming at the battery system are established on the vehicle-mounted terminal, so that the terminal can timely and accurately carry out risk assessment and early warning on the battery system and the hydrogen system of the hydrogen fuel cell automobile. Compared with the traditional terminal, the three models combine the evaluation of the vehicle fault code strong correlation class, the evaluation of the battery system and the hydrogen system, and the risk evaluation and early warning of the vehicle are more comprehensive. The time, the position and the type of the occurrence of the safety risk of the vehicle are recorded, and an alarm and report platform is timely provided, so that the safety of a driver and passengers is positively played for timely processing the safety failure of the vehicle, saving property loss.

In this embodiment, a vehicle safety risk assessment and early warning device for a hydrogen fuel cell vehicle is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

The embodiment provides a vehicle safety risk assessment and early warning device of a hydrogen fuel cell automobile, which is used for an intelligent vehicle-mounted terminal, wherein the intelligent vehicle-mounted terminal is connected with a client; as shown in fig. 7, includes:

the acquiring module 701 is configured to acquire a fault code data set, an initial cell voltage data set, an initial cell temperature data set, a pack air pressure data set, a smoke concentration data set, and an initial hydrogen system data set of the hydrogen fuel cell vehicle to be evaluated.

The processing module 702 is configured to process the fault code dataset through a preset judging method and a risk quantifying method to obtain a first security risk assessment score.

The first evaluation module 703 is configured to perform a security risk evaluation on the power battery system in the hydrogen fuel cell automobile to be evaluated based on the initial single cell voltage data set, the initial single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set, and obtain a second security risk evaluation score.

The second evaluation module 704 is configured to perform a security risk evaluation on the hydrogen system in the hydrogen fuel cell vehicle to be evaluated based on the initial hydrogen system data set, so as to obtain a third security risk evaluation score.

The determining module 705 is configured to determine a security risk assessment result of the hydrogen fuel cell vehicle to be assessed based on the first security risk assessment score, the second security risk assessment score, and the third security risk assessment score, and send early warning information to the client based on the security risk assessment result.

In some alternative embodiments, the processing module 702 includes:

the first processing sub-module is used for processing the fault code data set through a preset judging method to obtain the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated.

And the second processing sub-module is used for carrying out quantization processing on the target fault item data corresponding to each fault item alarm event by using a risk quantization method to obtain a plurality of quantized values.

And the calculating sub-module is used for calculating a first security risk assessment score based on the total number of the alarm events of the failure items of the hydrogen fuel cell automobile to be assessed and a plurality of quantized values.

In some alternative embodiments, the first processing submodule includes:

And the first judging unit is used for judging whether at least one continuous target frame number target fault item data exists in the fault code data set.

And the second judging unit is used for judging whether each target fault item data meets the preset alarm level or not when at least one target fault item data with continuous target frame number exists in the fault code data set.

And the first determining unit is used for determining the total number of the alarm events of the fault items of the hydrogen fuel cell automobile to be evaluated when the data of each target fault item meets the preset alarm level.

In some alternative embodiments, the first evaluation module 703 includes:

and the third processing sub-module is used for respectively processing the initial single battery voltage data set and the initial single battery temperature data set to obtain a target single battery voltage data set and a target single battery temperature data set.

And the detection sub-module is used for carrying out thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set, the target single cell temperature data set, the battery pack air pressure data set and the smoke concentration data set to obtain a target thermal runaway detection result.

A first determination submodule for determining a second security risk assessment score based on the thermal runaway detection result.

In some alternative embodiments, the detection submodule includes:

and the first detection unit is used for carrying out thermal runaway detection on the power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set and the target single cell temperature data set to obtain a first thermal runaway detection result.

And the second detection unit is used for carrying out thermal runaway detection on the power battery system in the hydrogen fuel cell automobile to be evaluated based on the battery pack air pressure data set to obtain a second thermal runaway detection result.

And the third detection unit is used for carrying out thermal runaway detection on the power battery system in the hydrogen fuel cell automobile to be evaluated based on the smoke concentration data set to obtain a third thermal runaway detection result.

And a second determination unit configured to determine a target thermal runaway detection result based on the first thermal runaway detection result, the second thermal runaway detection result, and the third thermal runaway detection result.

In some alternative embodiments, the second evaluation module 704 includes:

and the fourth processing sub-module is used for carrying out filtering pretreatment on the initial hydrogen system data set to obtain a target hydrogen system data set.

And the analysis sub-module is used for carrying out safety analysis on the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen system safety analysis result.

And a second determination sub-module for determining a third security risk assessment score based on the hydrogen system security analysis result.

In some alternative embodiments, the intelligent vehicle terminal is connected with the client; an analysis sub-module comprising:

the first monitoring unit is used for monitoring the hydrogen of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen leakage analysis result.

And the second monitoring unit is used for monitoring the pressure of the hydrogen storage bottle of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain an overpressure result of the hydrogen storage bottle.

And the third monitoring unit is used for monitoring the temperature of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen system temperature monitoring result.

And a third determination unit for determining a hydrogen system safety analysis result based on the hydrogen leakage analysis result, the hydrogen storage bottle overpressure result and the hydrogen system temperature monitoring result.

Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.

The vehicle safety risk assessment and early warning device of the hydrogen fuel cell automobile in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit ) circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices that can provide the above functions.

The embodiment of the invention also provides a computer device, which is provided with the vehicle safety risk assessment and early warning device of the hydrogen fuel cell automobile shown in the figure 7.

Referring to fig. 8, fig. 8 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 8, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 8.

The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.

Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.

The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.

The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.

The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.

Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.

Claims

1. The vehicle safety risk assessment and early warning method for the hydrogen fuel cell automobile is characterized by being used for an intelligent vehicle-mounted terminal, wherein the intelligent vehicle-mounted terminal is connected with a client; the method comprises the following steps:

acquiring a fault code data set, an initial single cell voltage data set, an initial single cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of a hydrogen fuel cell automobile to be evaluated;

processing the fault code data set through a preset judging method and a risk quantifying method to obtain a first security risk assessment score;

based on the initial single battery voltage data set, the initial single battery temperature data set, the battery pack air pressure data set and the smoke concentration data set, carrying out safety risk assessment on a power battery system in the hydrogen fuel cell automobile to be assessed to obtain a second safety risk assessment score;

Performing security risk assessment on the hydrogen system in the hydrogen fuel cell automobile to be assessed based on the initial hydrogen system data set to obtain a third security risk assessment score;

and determining a safety risk assessment result of the hydrogen fuel cell automobile to be assessed based on the first safety risk assessment score, the second safety risk assessment score and the third safety risk assessment score, and sending early warning information to the client based on the safety risk assessment result.

2. The method of claim 1, wherein the processing the fault code dataset by a preset determination method and a risk quantification method to obtain a first security risk assessment score comprises:

processing the fault code data set by a preset judging method to obtain the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated;

performing quantization processing on the target fault item data corresponding to each fault item alarm event by using the risk quantization method to obtain a plurality of quantized values;

the first security risk assessment score is calculated based on the total number of malfunction item alarm events for the hydrogen fuel cell vehicle under assessment and the plurality of quantized values.

3. The method according to claim 2, wherein the processing the fault code dataset by a preset judging method to obtain the total number of alarm events of the fault item of the hydrogen fuel cell automobile to be evaluated comprises:

judging whether at least one continuous target frame number target fault item data exists in the fault code data set or not;

when at least one continuous target frame number of target fault item data exists in the fault code data set, judging whether each target fault item data meets a preset alarm level or not;

and when each target fault item data meets the preset alarm level, determining the total number of fault item alarm events of the hydrogen fuel cell automobile to be evaluated.

4. The method of claim 1, wherein performing a security risk assessment on the hydrogen fuel cell in-vehicle power cell system under assessment based on the initial cell voltage dataset, the initial cell temperature dataset, the cell pack air pressure dataset, and the smoke concentration dataset to obtain a second security risk assessment score, comprising:

processing the initial single battery voltage data set and the initial single battery temperature data set respectively to obtain a target single battery voltage data set and a target single battery temperature data set;

Performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single battery voltage data set, the target single battery temperature data set, the battery pack air pressure data set and the smoke concentration data set to obtain a target thermal runaway detection result;

the second security risk assessment score is determined based on the thermal runaway detection result.

5. The method of claim 4, wherein performing thermal runaway detection on the power cell system in the hydrogen fuel cell vehicle under evaluation based on the target cell voltage dataset, the target cell temperature dataset, the cell pack air pressure dataset, and the smoke concentration dataset to obtain a target thermal runaway detection result, comprising:

performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the target single cell voltage data set and the target single cell temperature data set to obtain a first thermal runaway detection result;

performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the battery pack air pressure data set to obtain a second thermal runaway detection result;

Performing thermal runaway detection on a power battery system in the hydrogen fuel cell automobile to be evaluated based on the smoke concentration data set to obtain a third thermal runaway detection result;

the target thermal runaway detection result is determined based on the first thermal runaway detection result, the second thermal runaway detection result, and the third thermal runaway detection result.

6. The method of claim 1, wherein performing a security risk assessment on the hydrogen system within the hydrogen fuel cell vehicle under assessment based on the initial hydrogen system dataset to obtain a third security risk assessment score, comprising:

performing filtering pretreatment on the initial hydrogen system data set to obtain a target hydrogen system data set;

based on the target hydrogen system data set, carrying out safety analysis on the hydrogen system in the hydrogen fuel cell automobile to be evaluated to obtain a hydrogen system safety analysis result;

the third security risk assessment score is determined based on the hydrogen system security analysis results.

7. The method of claim 6, wherein performing a safety analysis of the hydrogen system within the hydrogen fuel cell vehicle under evaluation based on the target hydrogen system dataset to obtain a hydrogen system safety analysis result comprises:

Monitoring the hydrogen of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen leakage analysis result;

monitoring the pressure of a hydrogen storage bottle of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain an overpressure result of the hydrogen storage bottle;

monitoring the temperature of the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the target hydrogen system data set to obtain a hydrogen system temperature monitoring result;

and determining the safety analysis result of the hydrogen system based on the hydrogen leakage analysis result, the hydrogen storage bottle overpressure result and the hydrogen system temperature monitoring result.

8. The vehicle safety risk assessment and early warning device of the hydrogen fuel cell automobile is characterized by being used for an intelligent vehicle-mounted terminal, wherein the intelligent vehicle-mounted terminal is connected with a client; the device comprises:

the acquisition module is used for acquiring a fault code data set, an initial single cell voltage data set, an initial single cell temperature data set, a cell pack air pressure data set, a smoke concentration data set and an initial hydrogen system data set of the hydrogen fuel cell automobile to be evaluated;

the processing module is used for processing the fault code data set through a preset judging method and a risk quantifying method to obtain a first security risk assessment score;

The first evaluation module is used for performing security risk evaluation on the power battery system in the hydrogen fuel battery automobile to be evaluated based on the initial single battery voltage data set, the initial single battery temperature data set, the battery pack air pressure data set and the smoke concentration data set to obtain a second security risk evaluation score;

the second evaluation module is used for carrying out security risk evaluation on the hydrogen system in the hydrogen fuel cell automobile to be evaluated based on the initial hydrogen system data set to obtain a third security risk evaluation score;

the determining module is used for determining a security risk assessment result of the hydrogen fuel cell automobile to be assessed based on the first security risk assessment score, the second security risk assessment score and the third security risk assessment score, and sending early warning information to the client based on the security risk assessment result.

9. A computer device, comprising:

a memory and a processor, the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, thereby executing the vehicle safety risk assessment and early warning method of the hydrogen fuel cell automobile according to any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the vehicle safety risk assessment and early warning method of the hydrogen fuel cell automobile according to any one of claims 1 to 7.