CN115384351B - Battery safety early warning method, system and storage medium based on vehicle-cloud combined control - Google Patents

Abstract

The present invention discloses a battery safety early warning method, system and storage medium based on vehicle-cloud joint control, including: the vehicle end collects relevant information of each battery cell of the battery pack in real time and sends it to the cloud; the vehicle end predicts whether the battery pack currently has a thermal runaway risk based on the collected real-time data, and if so, the vehicle is restricted from driving or high-voltage operation is cut off based on the running state of the vehicle; the cloud predicts the potential thermal runaway risk of the battery based on the data uploaded by the vehicle end, and if it is predicted that the vehicle has a potential thermal runaway risk, the vehicle end is notified, and the potential thermal runaway data is transmitted back to the vehicle end; the vehicle end performs synchronous analysis based on the data currently collected by the vehicle end, and if it is detected that the vehicle has a thermal runaway risk, the vehicle is restricted from driving or high-voltage operation is cut off according to the running state of the vehicle; if it is detected that the vehicle does not have a thermal runaway risk, it is considered to be a false alarm in the cloud, and the thermal runaway risk alarm is released. The present invention can accurately warn of vehicle failures.

Description

Battery safety early warning method, system and storage medium based on vehicle-cloud joint control

Technical Field

The present invention belongs to the field of battery safety technology, and specifically relates to a battery safety early warning method, system and storage medium based on vehicle-cloud joint control.

Background Art

In order to implement the concept of low-carbon and environmental protection in my country, relevant national policies call on and encourage Chinese automobile manufacturers to develop in the direction of new energy vehicles. Automobile manufacturers are the leading force in developing a low-carbon economy. At present, all walks of life have also focused their attention on electric vehicles. Power batteries are the core components of electric vehicles and are related to the safety of the vehicle. For the entire battery, the most difficult fault to control is the thermal runaway of the battery. When the thermal runaway of the battery reaches a certain temperature, an uncontrollable state will occur, and severe cases may cause combustion and explosion. Since the advent of electric vehicles, battery spontaneous combustion has occurred repeatedly. How to accurately warn of thermal runaway and protect users from harm has become one of the most critical factors for users to choose electric vehicles.

At present, the mainstream method for thermal runaway warning in the industry for vehicle-cloud joint is to collect data on the vehicle side and upload it to the cloud platform, analyze and predict the big data on the cloud side, and then alarm through the vehicle side, and the vehicle side directly controls the vehicle according to the cloud alarm. For example, patent document CN108556647B discloses an online safety warning method for power batteries for electric vehicles based on a cloud platform and a battery management system. The specific operation is that the vehicle-side battery management system collects power battery cell voltage, temperature, battery pack current and other information in real time, analyzes and predicts the data through cloud computing based on big data and artificial intelligence on the cloud platform, establishes relevant safety models, manually sets limit conditions, determines abnormal temperature warning, abnormal voltage warning, abnormal current warning, etc., detects whether the data meets the conditional restriction rules, and implements alarms to achieve real-time online safety warning prompts. However, simply relying on the cloud to predict faults and directly controlling the vehicle still has the following problems: 1. The accuracy of the uploaded data and the accuracy of the cloud platform calculation are not considered. Since the vehicle-side data is uploaded to the cloud through the network, it cannot be guaranteed that the data will not be lost and there will be no delay. Over-trusting the cloud data prediction and directly alerting the vehicle through the cloud may result in false alarms. If a thermal runaway fault is falsely reported while the vehicle is still driving, the user does not know whether the current vehicle is actually at risk of thermal runaway, which can easily cause panic among users; 2. When the risk of thermal runaway is predicted and the vehicle receives a thermal runaway warning, it does not handle it in different ways according to the current state of the vehicle. If the vehicle is stationary, it will not threaten the user's life. At this time, it is risk-free to directly control the vehicle to stop charging and discharging. However, if the vehicle is in operation, directly alerting and stopping charging and discharging may easily cause traffic accidents and threaten the user's life safety. How to accurately predict potential thermal runaway risks and accurately report faults and control vehicles is particularly important.

Therefore, it is necessary to develop a new battery safety warning method, system and storage medium based on vehicle-cloud joint control.

Summary of the invention

The purpose of the present invention is to provide a battery safety warning method, system and storage medium based on vehicle-cloud joint control, which can accurately warn of vehicle failures and provide users with accurate warnings and comprehensive protection.

In a first aspect, a battery safety early warning method based on vehicle-cloud joint control according to the present invention comprises the following steps:

The vehicle collects the voltage and temperature of each battery cell in the battery pack, as well as the current signal of the entire battery pack in real time, and sends them to the cloud;

The vehicle side predicts whether the battery pack currently has a risk of thermal runaway based on the collected real-time data. If there is a risk of thermal runaway, the vehicle is restricted from driving or high-voltage operation is cut off based on the vehicle's operating status, and an alarm is issued;

The cloud predicts the potential thermal runaway risk of the battery based on the data uploaded by the vehicle. If it is predicted that the vehicle has a potential thermal runaway risk, the vehicle is notified and the potential thermal runaway data is sent back to the vehicle.

After receiving the potential thermal runaway data from the cloud, the vehicle side parses the data and performs synchronous analysis in combination with the data currently collected by the vehicle side. If it is detected that the vehicle is at risk of thermal runaway, the vehicle will be restricted from driving or high-voltage operation will be cut off according to the vehicle's operating status, and an alarm will be issued; if it is detected that the vehicle does not have a thermal runaway risk, it is considered to be a false alarm in the cloud, and user use will not be restricted. Feedback will be given to the cloud to release the thermal runaway risk alarm.

Optionally, the vehicle also collects signals of the air pressure, smoke concentration, explosion-proof valve status, insulation resistance and intranet communication status in the battery pack in real time. The more signals involved in the calculation, the more accurate the prediction results will be.

Optionally, the vehicle side predicts whether the battery pack currently has a thermal runaway risk based on the collected real-time data, specifically:

Set alarm conditions for each collected signal. If the signal status meets its own alarm condition, the condition flag of the signal is set to 1 and a prompt is given.

A combined alarm strategy that satisfies thermal runaway is set. If it is detected that all alarm conditions in the combined alarm strategy are met, a thermal runaway warning is issued to avoid false alarms caused by abnormalities in a single signal.

Optionally, the cloud performs a potential thermal runaway risk prediction of the battery based on the data uploaded by the vehicle, specifically:

The current information uploaded by the vehicle side is used to determine whether the vehicle is in a charging or discharging state. After each charging and discharging, the voltage and temperature changes of the charging and discharging data are analyzed, and based on the voltage and temperature changes, it is predicted whether the battery cell has a potential thermal runaway risk. The big data is analyzed through the cloud to detect whether there is a potential thermal runaway risk. If a thermal runaway risk is found, the vehicle side is notified immediately.

Optionally, each group of combined alarm conditions includes 2-3 alarm conditions. When all the alarm conditions of a group are met, thermal runaway is determined to have occurred and a thermal runaway warning is issued; false alarms can be avoided as much as possible, and missed alarms can also be effectively avoided.

Optionally, after receiving the potential thermal runaway data from the cloud, the vehicle detects a signal related to the abnormal state according to the potential thermal runaway data, and if it is detected that the signal related to the abnormal state is in an abnormal state, an abnormal alarm is issued;

If the signal related to the abnormal state is not detected in the abnormal state, the signal related to the abnormal state will be detected again during the next charging and discharging process to see if there is a real abnormality. If the signal related to the abnormal state is detected to have no abnormality, it is considered to be a false alarm in the cloud, and the cloud will be notified to clear the early warning. If the signal related to the abnormal state is detected to be abnormal but will not trigger thermal runaway, a prompt will be given but the use will not be restricted. If the signal related to the abnormal state is detected to be abnormal and may trigger thermal runaway at any time, a thermal runaway alarm will be issued. The vehicle side is taken as the leading role and the cloud side is used as an auxiliary to carry out early warning and control of the vehicle, accurately warning of vehicle failures, providing users with accurate early warnings and comprehensive protection, and also dispelling users' concerns about car purchases.

Optionally, the limiting of driving or cutting off of high-voltage operation according to the running state of the vehicle is specifically:

When the vehicle detects a thermal runaway fault while the vehicle is stationary, the high voltage is immediately cut off and an alarm is sounded, prompting the user to stay away from the vehicle, and the maintenance personnel are reminded through the background to come to the scene to handle the vehicle;

When the vehicle detects a thermal runaway fault during charging, it immediately stops charging, cuts off the high voltage, and sounds an alarm, prompting the user to stay away from the vehicle. The backend also reminds maintenance personnel to come to the scene to handle the vehicle.

When the vehicle detects a thermal runaway fault while the vehicle is driving at a low speed, the user is prompted to pull over immediately and the power usage is limited. When the vehicle speed drops to the preset speed, the high voltage is immediately cut off and an alarm is sounded, prompting the user to stay away from the vehicle. The backend also reminds the maintenance personnel to handle the vehicle on the spot.

When the vehicle detects that the vehicle has a thermal runaway fault while driving at high speed, it will prompt the user to immediately reduce the speed, pull over, and limit the power usage. When it detects that the vehicle speed drops to the preset speed, the high voltage will be immediately cut off and an alarm will be sounded, prompting the user to stay away from the vehicle, and the background will remind maintenance personnel to handle the vehicle on the spot; different vehicle controls will be performed according to the vehicle's operating conditions to minimize damage to users.

Optionally, when the vehicle detects that the vehicle is at risk of thermal runaway, the data before and after the thermal runaway will be sent back to the cloud for storage for subsequent review and analysis of the cause.

In the second aspect, a battery safety warning system based on vehicle-cloud joint control described in the present invention includes one or more memories and one or more controllers, and one or more computer-readable programs are stored in the memories. When the computer-readable program is called by the controller, it can execute the steps of the battery safety warning method based on vehicle-cloud joint control described in the present invention.

In a third aspect, a storage medium described in the present invention stores one or more computer-readable programs, and when the computer-readable program is called, it can execute the steps of the battery safety warning method based on vehicle-cloud joint control as described in the present invention.

The present invention has the following advantages: the present invention is based on the voltage, current, temperature and other signals of the battery pack detected in real time by the vehicle side, and uploads them to the cloud. The cloud side analyzes the big data to detect whether there is a potential risk of thermal runaway. If a risk of thermal runaway is found, the vehicle side is immediately notified, and the key data for determining the thermal runaway is sent back to the vehicle side. The vehicle side analyzes the sent back data, and then determines whether there is thermal runaway based on the current vehicle situation, and then performs different vehicle controls according to the vehicle operating conditions to minimize damage to users.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of the main steps of this embodiment;

FIG2 is a detailed flow chart of this embodiment.

DETAILED DESCRIPTION

As shown in FIG1 , in this embodiment, a battery safety early warning method based on vehicle-cloud joint control includes the following steps:

The vehicle collects the voltage and temperature of each battery cell in the battery pack, as well as the current signal of the entire battery pack in real time, and sends them to the cloud;

The vehicle side predicts whether the battery pack currently has a risk of thermal runaway based on the collected real-time data. If there is a risk of thermal runaway, the vehicle is restricted from driving or high-voltage operation is cut off based on the vehicle's operating status, and an alarm is issued;

The cloud predicts the potential thermal runaway risk of the battery based on the data uploaded by the vehicle. If it is predicted that the vehicle has a potential thermal runaway risk, the vehicle is notified and the potential thermal runaway data is sent back to the vehicle.

After receiving the potential thermal runaway data from the cloud, the vehicle side parses the data and performs synchronous analysis in combination with the data currently collected by the vehicle side. If it is detected that the vehicle is at risk of thermal runaway, the vehicle will be restricted from driving or high-voltage operation will be cut off according to the vehicle's operating status, and an alarm will be issued; if it is detected that the vehicle does not have a thermal runaway risk, it is considered to be a false alarm in the cloud, and user use will not be restricted. Feedback will be given to the cloud to release the thermal runaway risk alarm.

The present invention combines the vehicle side and the cloud side to provide warnings simultaneously, with the vehicle side as the leading side and the cloud side as the auxiliary side for vehicle warning and control, accurately warning of vehicle failures, providing users with accurate warnings and comprehensive protection, and also eliminating users' concerns about car purchases. This will greatly promote the development of vehicle-cloud joint warning technology and promote the development of new energy vehicles.

The following is a detailed description of this method in conjunction with Figure 2:

As shown in FIG2 , a battery safety early warning method based on vehicle-cloud joint control includes the following steps:

S1: The vehicle side collects the voltage and temperature of each battery cell in the battery pack, as well as the current signal of the entire battery pack in real time.

S2: The vehicle end collects signals of the air pressure value, smoke concentration value, explosion-proof valve status, insulation resistance value and intranet communication status in the battery pack in real time.

S3: Set alarm conditions for each collected signal. If the state of the signal is detected to meet its own alarm conditions, the condition flag position of the signal is set to 1, and a prompt is given. For example: for voltage, set the alarm threshold for the pressure difference to increase within a certain period of time, and the alarm threshold for the voltage drop to increase within a certain period of time; for temperature, set the alarm threshold for the temperature rise to be too fast within a certain period of time, and the temperature to be continuously higher than the warning threshold within a certain period of time; for insulation resistance, set the alarm threshold for the resistance to be too low; for the intranet communication status, set the communication loss status; for air pressure, set the alarm threshold for continuous pressure changes within a certain period of time; for smoke concentration, set the threshold for excessive concentration within a certain period of time; for the explosion-proof valve status, set the explosion-proof valve open status; for each group of signal status, set an alarm status, and once the signal status meets its own alarm threshold, an alarm is given.

S4: In view of the real phenomenon of thermal runaway, multiple groups of combined alarm strategies are set. The combined alarm conditions of each group include 2-3 alarm conditions. According to the alarm status of step S3, once all the alarm conditions in the combination are met, it is determined that thermal runaway has occurred and a thermal runaway warning is issued.

S5: The vehicle uploads the data collected in step S1 to the cloud in real time. After receiving the data, the cloud will directly store it for subsequent calculations.

S6: After the cloud stores the data uploaded by the vehicle, it determines whether the vehicle is in a charging or discharging state based on the current parameter information, and extracts the data of this charge and discharge after each discharge or charge is completed, and analyzes it to detect whether there are abnormal changes in the voltage of each battery cell during a charge and discharge process. For example, the voltage of a certain battery cell is charged with less capacity than other batteries in a single charge. It is also necessary to detect whether there are abnormal changes in the temperature of each battery cell, for example, the temperature of a certain battery cell rises more sharply during a single discharge. After identifying abnormal changes in the voltage and temperature of the battery cell, the corresponding conditional flag is set to 1.

S7: After detecting that the condition flag is 1, the abnormal state of the voltage or temperature signal of the battery cell is reported according to the set number of abnormalities, and the vehicle end is informed.

S8: After the vehicle receives the conditional flag bit of 1 from the cloud, the flag for allowing data return is set. After receiving the return data permission from the vehicle, the cloud starts to return the data used to determine abnormalities to the vehicle.

S9: After receiving the conditional flag bit 1 and data, the vehicle side first re-determines the abnormality based on the conditional flag bit and the data to determine whether the alarm data actually has an abnormal situation, and collects data in real time according to the alarm cell position to determine whether there is an abnormal change in the cell during operation. If it is found that there is no abnormal change in the cell and the cloud reports a false fault, the cloud is informed that there is no abnormality in the cell and the fault alarm can be cleared.

S10: After the cloud receives the fault clearing flag from the vehicle, it clears the fault alarm and stops transmitting data to the vehicle.

S11: If the vehicle determines that the battery cell is indeed abnormal based on the data in the cloud, it will focus on the changes in the battery cell and determine whether the battery cell is currently in a safe state based on the real-time collected data. If it is determined that the battery cell is not in a state of thermal runaway at any time, the user's use will not be restricted, and the instrument will remind the user to perform maintenance in time.

S12: If any battery cell is detected to be in a state where there is a risk of thermal runaway at any time, the current running state of the vehicle is detected. If the vehicle is stationary, the high voltage is immediately cut off, and the user is informed that there is a risk of thermal runaway at this time, and the user is prompted to stay away from the vehicle, and the maintenance personnel are informed in the background to handle the vehicle. If the vehicle is in a charging state, the charging is immediately stopped, the high voltage is cut off, and the user is informed that there is a risk of thermal runaway at this time, and the user is reminded to stay away from the vehicle, and the maintenance personnel are informed in the background to handle the vehicle. If the vehicle is in a low-speed running state, the user is reminded to pull over immediately, and the user's speed is limited. After the speed drops, the high voltage is immediately cut off, and the user is informed that there is a risk of thermal runaway at this time, and the user is prompted to stay away from the vehicle, and the maintenance personnel are informed in the background to handle the vehicle. If the vehicle is in a high-speed running state, the user is reminded to pull over immediately, and the user's speed is limited. After the speed drops, the high voltage is immediately cut off, and the user is informed that there is a risk of thermal runaway at this time, and the user is prompted to stay away from the vehicle, and the maintenance personnel are informed in the background to handle the vehicle.

S13: The cloud receives the thermal runaway warning signal from the vehicle in real time. After detecting that thermal runaway has occurred on the vehicle, all data from 5 minutes before and after the thermal runaway has occurred is retained.

The above embodiments are preferred implementation modes of the present invention, but the implementation modes of the present invention are not limited to the above embodiments. Any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principles of the present invention should be equivalent replacement methods and are included in the protection scope of the present invention.

Claims (9)

1. A battery safety early warning method based on vehicle-cloud joint control, characterized in that it includes the following steps: The vehicle collects the voltage and temperature of each battery cell in the battery pack, as well as the current signal of the entire battery pack in real time, and sends them to the cloud; The vehicle side predicts whether the battery pack currently has a risk of thermal runaway based on the collected real-time data. If there is a risk of thermal runaway, the vehicle is restricted from driving or high-voltage operation is cut off based on the vehicle's operating status, and an alarm is issued; The cloud predicts the potential thermal runaway risk of the battery based on the data uploaded by the vehicle. If it is predicted that the vehicle has a potential thermal runaway risk, the vehicle is notified and the potential thermal runaway data is sent back to the vehicle. After receiving the potential thermal runaway data from the cloud, the vehicle side parses the data and performs synchronous analysis in combination with the data currently collected by the vehicle side. If it is detected that the vehicle has a thermal runaway risk, the vehicle will be restricted from driving or high-voltage operation will be cut off according to the vehicle's operating status, and an alarm will be issued; if it is detected that the vehicle does not have a thermal runaway risk, it is considered to be a false alarm in the cloud, and the user's use will not be restricted. Feedback will be sent to the cloud to remove the thermal runaway risk alarm; After receiving the potential thermal runaway data from the cloud, the vehicle detects the signal related to the abnormal state according to the potential thermal runaway data. If the signal related to the abnormal state is detected to be in an abnormal state, an abnormal alarm is issued; If the signal related to the abnormal state is not detected in the abnormal state, the signal related to the abnormal state will be detected again during the next charging and discharging process to see if there is a real abnormality. If the signal related to the abnormal state is detected to have no abnormality, it is considered to be a false alarm in the cloud, and the cloud is notified to clear the early warning. If the signal related to the abnormal state is detected to have an abnormality but will not trigger thermal runaway, a prompt will be given but the use will not be restricted. If the signal related to the abnormal state is detected to have an abnormality and may trigger thermal runaway at any time, a thermal runaway alarm will be issued. 2. According to the battery safety warning method based on vehicle-cloud joint control according to claim 1, it is characterized in that the vehicle end also collects the air pressure value, smoke concentration value, explosion-proof valve status, insulation resistance value and intranet communication status signals in the battery pack in real time. 3. The battery safety early warning method based on vehicle-cloud joint control according to claim 2 is characterized in that: the vehicle-side predicts whether the battery pack currently has a thermal runaway risk based on the collected real-time data, specifically: Set alarm conditions for each collected signal. If the signal status meets its own alarm condition, the condition flag of the signal is set to 1 and a prompt is given. A combined alarm strategy that satisfies thermal runaway is set. If it is detected that all alarm conditions in the combined alarm strategy are met, a thermal runaway warning is issued. 4. The battery safety early warning method based on vehicle-cloud joint control according to claim 2 or 3 is characterized in that: the cloud predicts the potential thermal runaway risk of the battery based on the data uploaded by the vehicle, specifically: The current information uploaded from the vehicle side determines whether the vehicle is in a charging or discharging state. After each charging and discharging, the voltage and temperature changes of the charging and discharging data are analyzed, and based on the voltage and temperature changes, it is predicted whether the battery cell has a potential thermal runaway risk. 5. According to the battery safety warning method based on vehicle-cloud joint control as described in claim 3, it is characterized in that: each group of combined alarm conditions contains 2-3 alarm conditions. When all the alarm conditions of a group are met, it is determined that thermal runaway has occurred and a thermal runaway warning is issued. 6. The battery safety early warning method based on vehicle-cloud joint control according to claim 5 is characterized in that: the limiting of driving or cutting off of high-voltage operation according to the running state of the vehicle is specifically: When the vehicle detects a thermal runaway fault while the vehicle is stationary, the high voltage is immediately cut off and an alarm is sounded, prompting the user to stay away from the vehicle, and the maintenance personnel are reminded through the background to come to the scene to handle the vehicle; When the vehicle detects a thermal runaway fault during charging, it immediately stops charging, cuts off the high voltage, and sounds an alarm, prompting the user to stay away from the vehicle. The backend also reminds maintenance personnel to come to the scene to handle the vehicle. When the vehicle detects a thermal runaway fault while the vehicle is driving at a low speed, the user is prompted to pull over immediately and the power usage is limited. When the vehicle speed drops to the preset speed, the high voltage is immediately cut off and an alarm is sounded, prompting the user to stay away from the vehicle. The backend also reminds the maintenance personnel to handle the vehicle on the spot. When the vehicle detects that the vehicle has a thermal runaway fault while driving at high speed, it prompts the user to immediately reduce the speed, pull over, and limit the power usage. When it detects that the vehicle speed drops to the preset speed, the high voltage is immediately cut off and an alarm is sounded, prompting the user to stay away from the vehicle, and the background reminds maintenance personnel to handle the vehicle on the spot. 7. The battery safety warning method based on vehicle-cloud joint control according to claim 1 or 2 or 3 or 5 or 6 is characterized in that: when the vehicle side detects that the vehicle is at risk of thermal runaway, the data before and after the thermal runaway is also sent back to the cloud for storage. 8. A battery safety warning system based on vehicle-cloud joint control, characterized in that it includes one or more memories and one or more controllers, wherein the memories store one or more computer-readable programs, and when the computer-readable programs are called by the controller, they can execute the steps of the battery safety warning method based on vehicle-cloud joint control as described in any one of claims 1 to 7. 9. A storage medium, characterized in that: one or more computer-readable programs are stored therein, and when the computer-readable program is called, it can execute the steps of the battery safety warning method based on vehicle-cloud joint control as described in any one of claims 1 to 7.