CN113500916A - Early warning method, early warning device and control equipment for safety state of battery system - Google Patents
Early warning method, early warning device and control equipment for safety state of battery system Download PDFInfo
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- CN113500916A CN113500916A CN202010207072.9A CN202010207072A CN113500916A CN 113500916 A CN113500916 A CN 113500916A CN 202010207072 A CN202010207072 A CN 202010207072A CN 113500916 A CN113500916 A CN 113500916A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
Abstract
The invention provides a pre-warning method, a pre-warning device and control equipment for the safety state of a battery system, wherein the pre-warning method comprises the following steps: collecting vehicle state data and power battery state data of a target vehicle; comparing the vehicle state data and the power battery state data with characteristic parameters respectively corresponding to a plurality of thermal runaway faults in an early warning database; when at least one of the vehicle state data and the power battery state data is matched with the characteristic parameter of the target thermal runaway fault type, judging that the power battery of the target vehicle has a fault; and sending an alarm signal to the target vehicle. According to the scheme, the reasonable dynamic threshold value is formulated for the power battery based on the whole vehicle monitoring data, and the safety state of the power battery can be accurately judged. Compared with a threshold value judging method, the safety risk of the power battery can be identified earlier, and the risk false alarm and the risk missing report are reduced.
Description
Technical Field
The invention relates to the field of automobiles, in particular to a battery system safety state early warning method, an early warning device and control equipment.
Background
Safety of power battery systems is a most significant concern for customers and manufacturers since power battery systems are used. However, after the batch application of the battery systems such as the lithium ion batteries, the fire caused by too many power battery systems occurs, and certain potential safety hazards exist. In addition, with the rapid development situation of the electric automobile industry, the power battery system is continuously developed towards the direction of high electric quantity and high energy density, and the market has higher and higher requirements on the safety of the battery system.
Currently, a safety threshold of a power battery is generally set in the industry, and measures such as limiting the use of the power battery or alarming and power-off are adopted if the safety threshold is reached. However, due to the problems of consistency difference, vehicle use history difference, driving state difference and the like of the power battery, the threshold value is set to be too high, so that the alarm is missed, and the alarm is easily mistaken when the threshold value is too low. In addition, when the vehicle running state is different and the power battery state is different, the change of the characteristic value is large, so that the potential safety hazard of the power battery cannot be accurately identified by the same power battery threshold value. How to accurately identify potential safety hazards of the power battery system, avoiding missing reports and false reports, identifying safety risks of the power battery earlier, and timely maintaining and troubleshooting the power battery becomes an important problem in the new energy automobile industry.
Disclosure of Invention
The embodiment of the invention provides a battery system safety state early warning method, an early warning device and control equipment, which are used for solving the problem that the potential safety hazard of a power battery cannot be quickly and accurately identified in the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme:
according to an aspect of the present invention, there is provided a method for early warning of a safety state of a battery system, including:
collecting vehicle state data and power battery state data of a target vehicle;
comparing the vehicle state data and the power battery state data with characteristic parameters respectively corresponding to a plurality of thermal runaway faults in an early warning database;
when at least one of the vehicle state data and the power battery state data is matched with the characteristic parameter of the target thermal runaway fault type, judging that the power battery of the target vehicle has a fault;
and sending an alarm signal to the target vehicle.
Optionally, the early warning method further includes:
respectively acquiring vehicle state data and power battery state data of a plurality of electric vehicles at preset time intervals;
and analyzing the acquired vehicle state data and the power battery state data to acquire the early warning database, wherein the early warning database comprises characteristic parameters respectively corresponding to a plurality of thermal runaway faults.
Optionally, analyzing the acquired vehicle state data and the power battery state data to obtain the early warning database, including:
establishing a plurality of finished automobile databases according to the vehicle state data and the power battery state data, wherein each finished automobile database comprises the vehicle state data and the power battery state data of electric automobiles with the same vehicle type and the same battery model;
analyzing the vehicle state data in each vehicle database and the fault information in the power battery state data to establish a fault database;
and classifying the thermal runaway faults in the fault database, analyzing the characteristic parameters of each thermal runaway fault, and establishing the early warning database.
Optionally, the vehicle state data includes at least one of vehicle identification information, a running speed, an acceleration, a braking speed, a motor rotation speed, and an air conditioner output power.
Optionally, the power battery state data includes at least one of voltage, current, dc internal resistance, temperature, battery identity information, and state of charge.
According to another aspect of the present invention, there is provided a warning apparatus for a safety state of a battery system, including:
the data acquisition module is used for acquiring vehicle state data and power battery state data of a target vehicle;
the data comparison module is used for comparing the vehicle state data and the power battery state data with characteristic parameters respectively corresponding to a plurality of thermal runaway faults in an early warning database;
the fault determination module is used for determining that the power battery of the target vehicle has faults when at least one of the vehicle state data and the power battery state data is matched with the characteristic parameter of the target thermal runaway fault type;
and the signal sending module is used for sending an alarm signal to the target vehicle.
Optionally, the early warning device further includes:
the data acquisition module is used for respectively acquiring vehicle state data and power battery state data of a plurality of electric vehicles at intervals of preset duration;
and the data processing module is used for analyzing the acquired vehicle state data and the acquired power battery state data to acquire the early warning database, and the early warning database comprises characteristic parameters respectively corresponding to a plurality of thermal runaway faults.
Optionally, the data processing module includes:
the first processing unit is used for establishing a plurality of finished automobile databases according to the vehicle state data and the power battery state data, wherein each finished automobile database comprises the vehicle state data and the power battery state data of electric automobiles with the same automobile type and the same battery type;
the second processing unit is used for analyzing the vehicle state data in each whole vehicle database and the fault information in the power battery state data to establish a fault database;
and the third processing unit is used for classifying the thermal runaway faults in the fault database, analyzing the characteristic parameters of each thermal runaway fault and establishing the early warning database.
Optionally, the vehicle state data includes at least one of vehicle identification information, a running speed, an acceleration, a braking speed, a motor rotation speed, and an air conditioner output power.
Optionally, the power battery state data includes at least one of voltage, current, dc internal resistance, temperature, battery identity information, and state of charge.
According to another aspect of the present invention, there is provided a control apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor; the processor, when executing the program, implements the early warning method as described above.
The invention has the beneficial effects that:
according to the scheme, fault data of the same type of power batteries in the same type of vehicles are collected through the fault database, characteristic items of all fault power batteries are analyzed, a fault power battery model is reversed, and the model is continuously improved along with the increase of the fault number of the power batteries. A reasonable dynamic threshold value is formulated for the power battery based on the whole vehicle monitoring data, and the safety state of the power battery can be accurately judged. Compared with a threshold value judging method, the safety risk of the power battery can be identified earlier, and the risk false alarm and the risk missing report are reduced. In addition, the scheme can be generally suitable for the safety state of the power battery of the electric automobile and is not constrained by a battery system, an application automobile type and the like.
Drawings
Fig. 1 is a schematic diagram illustrating a method for early warning a safety state of a battery system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an early warning device for a safety state of a battery system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an early warning database of a safety state of a battery system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
The invention provides a battery system safety state early warning method, an early warning device and control equipment, aiming at the problem that the potential safety hazard of a power battery cannot be quickly and accurately identified in the prior art.
As shown in fig. 1, an embodiment of the present invention provides a method for early warning a safety state of a battery system, including:
s11: and acquiring vehicle state data and power battery state data of the target vehicle.
It should be noted that, in the running process of the power battery, the target vehicle may upload the vehicle state data and the power battery state data to a monitoring platform through an intelligent vehicle-mounted terminal (Telematics BOX, referred to as T-BOX for short). According to one embodiment of the invention, the monitoring platform can be used for analyzing the running condition of the power battery of the target vehicle after acquiring the vehicle state data and the power battery state data, so as to send an alarm signal to the target vehicle in time when an abnormal condition is detected. The vehicle State data comprises vehicle identification information, driving speed, acceleration, braking speed, motor rotating speed, air conditioner output power and the like, and the power battery State data comprises battery identity information, State of Charge (SOC), voltage, charging and discharging current, direct current internal resistance, temperature and the like.
S12: comparing the vehicle state data and the power battery state data with characteristic parameters respectively corresponding to a plurality of thermal runaway faults in an early warning database;
s13: and when at least one of the vehicle state data and the power battery state data is matched with the characteristic parameter of the target thermal runaway fault type, judging that the power battery of the target vehicle has a fault.
It should be noted that the monitoring platform may determine the operating state of the target vehicle according to vehicle monitoring data, that is, the vehicle state data and the power battery state data. Specifically, the vehicle state data and the power battery state data are compared with characteristic parameters corresponding to a plurality of thermal runaway faults in an early warning database respectively. And when the change trend of the characteristic value of the power battery of the target vehicle is detected to be consistent with the characteristic parameters in the risk database (namely the early warning database) of the power battery in the running state, if one or more abnormal parameter items are consistent with the fault battery model curve, judging that the power battery is abnormal. According to one embodiment of the invention, when the voltage drop rate of a certain battery cell in the vehicle standing process is more than 5mV/s, the power battery of the vehicle is judged to be abnormal.
S14: and sending an alarm signal to the target vehicle.
It should be noted that when it is determined that the power battery of the target vehicle has a fault, a vehicle safety early warning process of the monitoring platform is triggered, the monitoring platform sends a safety alarm signal to the T-BOX of the target vehicle, the T-BOX reports the state of the power battery to the vehicle controller, and the vehicle controller controls the vehicle to send an early warning prompt, so that a driver can take a strain measure in time to avoid an accident.
Optionally, the early warning method further includes:
and respectively acquiring vehicle state data and power battery state data of a plurality of electric vehicles at preset intervals.
And analyzing the acquired vehicle state data and the power battery state data to acquire the early warning database, wherein the early warning database comprises characteristic parameters respectively corresponding to a plurality of thermal runaway faults.
It should be noted that the monitoring platform collects vehicle state data and power battery state data of all vehicles of the same type at preset intervals, stores the vehicle state data and the power battery state data into a database to form a plurality of finished vehicle databases, and obtains the early warning database through layer-by-layer analysis.
Optionally, analyzing the acquired vehicle state data and the power battery state data to obtain the early warning database, including:
and establishing a plurality of finished automobile databases according to the vehicle state data and the power battery state data, wherein each finished automobile database comprises the vehicle state data and the power battery state data of the electric automobile with the same automobile type and the same battery model.
It should be noted that, the basic safety thresholds of the power batteries of different power battery models are also different, so that the vehicle history data of the same entire vehicle configuration and the same power battery model, that is, the vehicle state data and the power battery state data of the electric vehicle with the same vehicle model are put into the same database, and the entire vehicle databases of a plurality of different vehicle models can be respectively established.
And analyzing the vehicle state data and the fault information in the power battery state data in each whole vehicle database, and establishing a fault database.
It should be noted that the fault database can be established by screening all vehicle alarm and fault data in the entire vehicle database. As shown in fig. 3, according to one embodiment of the present invention, after the entire vehicle database is analyzed to establish the fault database, the data in the fault database may be further analyzed, the states of the accident vehicles occurring in all the vehicle power battery systems are labeled, the data of the thermal runaway fault in the accident vehicles are found, and the thermal runaway database is established. And identifying the vehicle state in the thermal runaway database, and establishing different thermal runaway databases in a classified manner.
And classifying the thermal runaway faults in the fault database, analyzing the characteristic parameters of each thermal runaway fault, and establishing the early warning database.
It should be noted that, as shown in fig. 3, the faulty vehicles can be classified according to the fault types, such as thermal runaway faults of power batteries during driving of vehicles a1, a2, … … and An; the vehicles B1, B2, … … and Bn have thermal runaway faults of power batteries in the charging process; the vehicles C1, C2, … … and Cn have thermal runaway faults of the power batteries during the standing process and the like. Analyzing the change trend of the characteristic value of the power battery in the state data of the power battery in a specific time period before thermal runaway occurs in the thermal runaway data cluster, and identifying the characteristic change quantity. According to one embodiment of the invention, the characteristic variation is that a unit voltage drop rate of a certain battery cell of the vehicle is steeply dropped by more than 5mV/s 5s before a thermal runaway fault occurs in the vehicle standing process. According to another embodiment of the present invention, the characteristic variation is 10s before the thermal runaway fault occurs during the rapid charging of the vehicle, and the voltage of one cell stops increasing. And identifying the change threshold of the characteristic parameters in the thermal runaway databases in different states, defining the characteristic change trend as the thermal runaway early warning trigger value of the power battery in the vehicle state, namely the characteristic parameters of the thermal runaway fault, and establishing an early warning database.
Optionally, the vehicle state data includes at least one of vehicle identification information, a running speed, an acceleration, a braking speed, a motor rotation speed, and an air conditioner output power.
Optionally, the power battery state data includes at least one of voltage, current, dc internal resistance, temperature, battery identity information, and state of charge.
It should be noted that, when the whole vehicle is off-line, the basic safety threshold of each key parameter item of the power Battery can be input, and the Battery Management System (BMS for short) determines the safety state of the power Battery according to the basic safety threshold table; by combining the dynamic threshold value of the embodiment of the invention, namely the characteristic parameters respectively corresponding to the thermal runaway faults in the early warning database, the faults of the power battery can be quickly and effectively identified. The embodiment of the invention identifies the safety state of the power battery based on real vehicle monitoring data, and can identify safety risks in advance compared with a power battery threshold alarm mode; it is worth mentioning that the calculation data is used for carrying out safety calculation on the whole vehicle based on the whole vehicle actual data of the database, so that the number of samples is large, more safety influence factors of the battery system can be identified, and the judgment is more accurate; in addition, as the number of the same type of vehicle and the same type of power batteries is increased, the information amount of the database is increased, and the calculation result is more accurate.
In the embodiment of the invention, the fault data of the same type of power battery of the same type of vehicle is collected through the fault database, the characteristic items of all the fault power batteries are analyzed, the fault power battery model is reversed, and the model is continuously improved along with the increase of the fault number of the power batteries. A reasonable dynamic threshold value is formulated for the power battery based on the whole vehicle monitoring data, and the safety state of the power battery can be accurately judged. Compared with a threshold value judging method, the safety risk of the power battery can be identified earlier, and the risk false alarm and the risk missing report are reduced. In addition, the scheme can be generally suitable for the safety state of the power battery of the electric automobile and is not constrained by a battery system, an application automobile type and the like.
As shown in fig. 2, an embodiment of the present invention further provides an early warning device for a safety state of a battery system, including:
and the data acquisition module 21 is used for acquiring vehicle state data and power battery state data of the target vehicle.
It should be noted that, the target vehicle may upload the vehicle state data and the power battery state data to the monitoring platform through the T-BOX during the operation of the power battery. According to one embodiment of the invention, the monitoring platform can be used for analyzing the running condition of the power battery of the target vehicle after acquiring the vehicle state data and the power battery state data, so as to send an alarm signal to the target vehicle in time when an abnormal condition is detected. The vehicle state data comprises vehicle identification information, running speed, acceleration, braking speed, motor rotating speed, air conditioner output power and the like, and the power battery state data comprises battery identity information, SOC, voltage, charging and discharging current, direct current internal resistance, temperature and the like.
The data comparison module 22 is configured to compare the vehicle state data and the power battery state data with characteristic parameters corresponding to multiple thermal runaway faults in an early warning database;
and the fault determination module 23 is configured to determine that the power battery of the target vehicle is in fault when at least one of the vehicle state data and the power battery state data matches with a characteristic parameter of a target thermal runaway fault type.
It should be noted that the monitoring platform may determine the operating state of the target vehicle according to vehicle monitoring data, that is, the vehicle state data and the power battery state data. Specifically, the vehicle state data and the power battery state data are compared with characteristic parameters corresponding to a plurality of thermal runaway faults in an early warning database respectively. And when the change trend of the characteristic value of the power battery of the target vehicle is detected to be consistent with the characteristic parameters in the risk database (namely the early warning database) of the power battery in the running state, if one or more abnormal parameter items are consistent with the fault battery model curve, judging that the power battery is abnormal. According to one embodiment of the invention, when the voltage drop rate of a certain battery cell in the vehicle standing process is more than 5mV/s, the power battery of the vehicle is judged to be abnormal.
And the signal sending module 24 is used for sending an alarm signal to the target vehicle.
It should be noted that when it is determined that the power battery of the target vehicle has a fault, a vehicle safety early warning process of the monitoring platform is triggered, the monitoring platform sends a safety alarm signal to the T-BOX of the target vehicle, the T-BOX reports the state of the power battery to the vehicle controller, and the vehicle controller controls the vehicle to send an early warning prompt, so that a driver can take a strain measure in time to avoid an accident.
Optionally, the early warning device further includes:
the data acquisition module is used for respectively acquiring vehicle state data and power battery state data of a plurality of electric vehicles at intervals of preset duration;
and the data processing module is used for analyzing the acquired vehicle state data and the acquired power battery state data to acquire the early warning database, and the early warning database comprises characteristic parameters respectively corresponding to a plurality of thermal runaway faults.
It should be noted that the monitoring platform collects vehicle state data and power battery state data of all vehicles of the same type at preset intervals, stores the vehicle state data and the power battery state data into a database to form a plurality of finished vehicle databases, and obtains the early warning database through layer-by-layer analysis.
Optionally, the data processing module includes:
the first processing unit is used for establishing a plurality of finished automobile databases according to the vehicle state data and the power battery state data, wherein each finished automobile database comprises the vehicle state data and the power battery state data of electric automobiles with the same automobile type and the same battery type.
It should be noted that, the basic safety thresholds of the power batteries of different power battery models are also different, so that the vehicle history data of the same entire vehicle configuration and the same power battery model, that is, the vehicle state data and the power battery state data of the electric vehicle with the same vehicle model are put into the same database, and the entire vehicle databases of a plurality of different vehicle models can be respectively established.
And the second processing unit is used for analyzing the vehicle state data in each whole vehicle database and the fault information in the power battery state data to establish a fault database.
It should be noted that the fault database can be established by screening all vehicle alarm and fault data in the entire vehicle database. According to one embodiment of the invention, the data in the fault database can be further analyzed, the states of the accident vehicles occurring in all the vehicle power battery systems are labeled, the data of the thermal runaway faults in the vehicle power battery systems are found, and the thermal runaway database is established. And identifying the vehicle state in the thermal runaway database, and establishing different thermal runaway databases in a classified manner.
And the third processing unit is used for classifying the thermal runaway faults in the fault database, analyzing the characteristic parameters of each thermal runaway fault and establishing the early warning database.
It should be noted that the faulty vehicles can be classified according to the fault types, such as the vehicles a1, a2, … …, An having thermal runaway fault of power battery during driving; the vehicles B1, B2, … … and Bn have thermal runaway faults of power batteries in the charging process; the vehicles C1, C2, … … and Cn have thermal runaway faults of the power batteries during the standing process and the like. Analyzing the change trend of the characteristic value of the power battery in the state data of the power battery in a specific time period before thermal runaway occurs in the thermal runaway data cluster, and identifying the characteristic change quantity. According to one embodiment of the invention, the characteristic variation is that a unit voltage drop rate of a certain battery cell of the vehicle is steeply dropped by more than 5mV/s 5s before a thermal runaway fault occurs in the vehicle standing process. According to another embodiment of the present invention, the characteristic variation is 10s before the thermal runaway fault occurs during the rapid charging of the vehicle, and the voltage of one cell stops increasing. And identifying the change threshold of the characteristic parameters in the thermal runaway databases in different states, defining the characteristic change trend as the thermal runaway early warning trigger value of the power battery in the vehicle state, namely the characteristic parameters of the thermal runaway fault, and establishing an early warning database.
Optionally, the vehicle state data includes at least one of vehicle identification information, a running speed, an acceleration, a braking speed, a motor rotation speed, and an air conditioner output power.
Optionally, the power battery state data includes at least one of voltage, current, dc internal resistance, temperature, battery identity information, and state of charge.
In the embodiment of the invention, the fault data of the same type of power battery of the same type of vehicle is collected through the fault database, the characteristic items of all the fault power batteries are analyzed, the fault power battery model is reversed, and the model is continuously improved along with the increase of the fault number of the power batteries. A reasonable dynamic threshold value is formulated for the power battery based on the whole vehicle monitoring data, and the safety state of the power battery can be accurately judged. Compared with a threshold value judging method, the safety risk of the power battery can be identified earlier, and the risk false alarm and the risk missing report are reduced. In addition, the scheme can be generally suitable for the safety state of the power battery of the electric automobile and is not constrained by a battery system, an application automobile type and the like.
The embodiment of the invention also provides control equipment, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor; the processor, when executing the program, implements the early warning method as described above.
While the preferred embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims.
Claims (11)
1. A method for early warning of the safety state of a battery system is characterized by comprising the following steps:
collecting vehicle state data and power battery state data of a target vehicle;
comparing the vehicle state data and the power battery state data with characteristic parameters respectively corresponding to a plurality of thermal runaway faults in an early warning database;
when at least one of the vehicle state data and the power battery state data is matched with the characteristic parameter of the target thermal runaway fault type, judging that the power battery of the target vehicle has a fault;
and sending an alarm signal to the target vehicle.
2. The warning method of claim 1, further comprising:
respectively acquiring vehicle state data and power battery state data of a plurality of electric vehicles at preset time intervals;
and analyzing the acquired vehicle state data and the power battery state data to acquire the early warning database, wherein the early warning database comprises characteristic parameters respectively corresponding to a plurality of thermal runaway faults.
3. The warning method according to claim 2, wherein analyzing the acquired vehicle state data and the power battery state data to obtain the warning database comprises:
establishing a plurality of finished automobile databases according to the vehicle state data and the power battery state data, wherein each finished automobile database comprises the vehicle state data and the power battery state data of electric automobiles with the same vehicle type and the same battery model;
analyzing the vehicle state data in each vehicle database and the fault information in the power battery state data to establish a fault database;
and classifying the thermal runaway faults in the fault database, analyzing the characteristic parameters of each thermal runaway fault, and establishing the early warning database.
4. The warning method of claim 1, wherein the vehicle state data includes at least one of vehicle identification information, travel speed, acceleration, brake speed, motor speed, and air conditioner output power.
5. The warning method of claim 1, wherein the power battery state data comprises at least one of voltage, current, DC internal resistance, temperature, battery identity information, and state of charge.
6. A battery system safety state early warning device, characterized by includes:
the data acquisition module is used for acquiring vehicle state data and power battery state data of a target vehicle;
the data comparison module is used for comparing the vehicle state data and the power battery state data with characteristic parameters respectively corresponding to a plurality of thermal runaway faults in an early warning database;
the fault determination module is used for determining that the power battery of the target vehicle has faults when at least one of the vehicle state data and the power battery state data is matched with the characteristic parameter of the target thermal runaway fault type;
and the signal sending module is used for sending an alarm signal to the target vehicle.
7. The warning device of claim 6, further comprising:
the data acquisition module is used for respectively acquiring vehicle state data and power battery state data of a plurality of electric vehicles at intervals of preset duration;
and the data processing module is used for analyzing the acquired vehicle state data and the acquired power battery state data to acquire the early warning database, and the early warning database comprises characteristic parameters respectively corresponding to a plurality of thermal runaway faults.
8. The warning device of claim 7, wherein the data processing module comprises:
the first processing unit is used for establishing a plurality of finished automobile databases according to the vehicle state data and the power battery state data, wherein each finished automobile database comprises the vehicle state data and the power battery state data of electric automobiles with the same automobile type and the same battery type;
the second processing unit is used for analyzing the vehicle state data in each whole vehicle database and the fault information in the power battery state data to establish a fault database;
and the third processing unit is used for classifying the thermal runaway faults in the fault database, analyzing the characteristic parameters of each thermal runaway fault and establishing the early warning database.
9. The warning device of claim 6, wherein the vehicle state data includes at least one of vehicle identification information, travel speed, acceleration, brake speed, motor speed, and air conditioner output power.
10. The warning device of claim 6, wherein the power cell state data includes at least one of voltage, current, DC internal resistance, temperature, battery identity information, and state of charge.
11. A control apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor; characterized in that the processor, when executing the program, implements the warning method according to any one of claims 1 to 5.
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| CN114977416A (en) * | 2022-06-14 | 2022-08-30 | 湖北亿纬动力有限公司 | Battery management method, system and computer readable storage medium |
| CN115063905A (en) * | 2022-06-08 | 2022-09-16 | 中国第一汽车股份有限公司 | Vehicle data processing method and device, storage medium and electronic device |
| CN115959004A (en) * | 2022-12-06 | 2023-04-14 | 北汽福田汽车股份有限公司 | Vehicle safety monitoring system and method, vehicle-mounted communication terminal, vehicle and server |
| FR3129344A1 (en) * | 2021-11-19 | 2023-05-26 | Psa Automobiles Sa | METHOD FOR MANAGING A BATTERY MODULE THERMAL RUNAWAY |
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