CN111731149A - Battery control method and device and battery management system - Google Patents

Battery control method and device and battery management system Download PDF

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Publication number
CN111731149A
CN111731149A CN202010620430.9A CN202010620430A CN111731149A CN 111731149 A CN111731149 A CN 111731149A CN 202010620430 A CN202010620430 A CN 202010620430A CN 111731149 A CN111731149 A CN 111731149A
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battery
vehicle
management system
state
abnormal
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CN111731149B (en
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毛俊
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Guangzhou Xiaopeng Motors Technology Co Ltd
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Guangzhou Xiaopeng Motors Technology Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Mechanical Engineering (AREA)
  • Signal Processing (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Computing Systems (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Secondary Cells (AREA)

Abstract

The embodiment of the invention provides a battery control method, a device and a battery management system, wherein the method is applied to the battery management system of a vehicle, and comprises the following steps: and when detecting whether the vehicle enters a dormant state, if the vehicle enters the dormant state, detecting whether the battery is abnormal, and if the battery is detected to be abnormal, outputting abnormal information. The battery management system can detect whether the battery is abnormal when the vehicle enters the sleep state, and can output abnormal information when the battery is judged to be abnormal, the output of the abnormal information can ensure the safety of the battery, and serious events such as thermal runaway and the like can be avoided to a certain extent.

Description

Battery control method and device and battery management system
Technical Field
The invention relates to the technical field of electric automobiles, in particular to a battery control method, a battery control device and a battery management system.
Background
With the continuous development of Chinese economy, people live more and more abundantly, public transport can not satisfy the trip demand of most people, and people purchase cars more and more. At present, most automobiles generally use gasoline as power, but most components generated after gasoline is combusted pollute the atmosphere, so that the problem of air pollution is serious day by day, but the attention of people to new energy automobiles is continuously improved along with the increase of the environmental awareness of people.
The current pure electric vehicles become the main force army of new energy vehicles, and the pure electric vehicles do not need to use gasoline and diesel oil, so the pure electric vehicles almost do not pollute the atmosphere, and the power of the pure electric vehicles comes from the storage battery, but has a lot of potential safety hazards when the storage battery provides power for the vehicles.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide a battery control method, a battery control device and a battery management system to solve the above technical problems.
The embodiment of the invention is realized by adopting the following technical scheme:
in a first aspect, some embodiments of the present invention provide a battery control method applied to a battery management system of a vehicle, the method including: detecting whether the vehicle enters a dormant state; detecting whether the battery is abnormal or not if the vehicle enters a sleep state; and if the battery is detected to be abnormal, outputting abnormal information.
In a second aspect, some embodiments of the present invention further provide a battery control apparatus including a state detection module, an abnormality detection module, and an information output module. And the state detection module is used for detecting whether the vehicle enters a dormant state or not. And the abnormality detection module is used for detecting whether the battery is abnormal or not if the vehicle enters a dormant state. And the information output module is used for outputting abnormal information if the battery is detected to be abnormal.
In a third aspect, some embodiments of the present invention further provide a battery management system, including a processor and a memory, where the memory stores computer program instructions, and the computer program instructions, when called by the processor, execute any one of the above battery control methods
In a fourth aspect, some embodiments of the present invention further provide a vehicle, including a vehicle body, a battery, and the battery management system as described above disposed in the vehicle body, wherein the battery management system is electrically connected to the battery.
In a fifth aspect, the present invention further provides a computer-readable storage medium, in which computer program instructions are stored, where the computer program codes can be called by a processor to execute any one of the above battery control methods.
The battery control method, the battery control device and the battery management system provided by the embodiment of the invention are applied to the battery management system of the vehicle. Specifically, the battery management system can detect whether the vehicle enters the dormant state, if the vehicle enters the dormant state, whether the battery is abnormal is detected, if the battery is abnormal, the battery management system can output abnormal information, so that the safety of the battery can be detected when the vehicle is stopped, the potential safety hazard of the battery is eliminated, and the use experience of a user can be improved to a certain extent.
These and other aspects of the invention are apparent from and will be elucidated with reference to the embodiments described hereinafter.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an application environment provided according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart illustrating a battery control method according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating step S130 in a battery control method according to an embodiment of the present invention.
Fig. 4 is a schematic flow chart illustrating a battery control method according to another embodiment of the present invention.
Fig. 5 is a flowchart illustrating step S204 in a battery control method according to another embodiment of the present invention.
Fig. 6 shows a block diagram of a battery control apparatus according to an embodiment of the present invention.
Fig. 7 is a block diagram illustrating an abnormality detection module in a battery control device according to an embodiment of the present invention.
Fig. 8 shows a block diagram of a battery management system according to an embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a vehicle according to an embodiment of the present invention.
Fig. 10 illustrates a block diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In order to make those skilled in the art better understand the solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The following is an introduction to an application environment of the battery control method provided by the implementation of the present invention:
referring to fig. 1, the battery control method provided by the embodiment of the present invention may be applied to a vehicle battery control system 10, where the vehicle battery control system 10 may include a vehicle 11 and a server 12, where the vehicle 11 may be in communication with the server 12, that is, the vehicle 11 may send data to the server 12, and may also receive data sent by the server 12. In addition, the server 12 may be a background server, which may be a TSP (Telematics Service Provider) background, and the server 12 is configured to be in communication with the vehicle 11 and configured to receive data uploaded by the vehicle 11 and issue data analysis results to the vehicle 11 according to the data. Alternatively, the number of the vehicles 11 may be one or more.
The power of the electric automobile is derived from batteries, so that the electric automobile does not burn fossil fuel in the using process, does not pollute the environment and is encouraged and supported by governments of all countries in the world. At present, the electric automobile production and sale scale is leading worldwide in China, and the electric automobile production and sale scale becomes the first major country of the global electric automobile production and sale continuously in the last three years. Although there are some questions, the development of electric vehicles has become a given trend, and the power battery is also important as the power core of the electric vehicle.
With the continuous expansion of the pure electric vehicle market, vehicle fire accidents happen occasionally, and the lithium ion power battery is often a direct object examined, so the safety of the lithium ion power battery is the key point of product research and development, and the main premise that the electric vehicle utilizes the lithium ion battery to provide power is to prevent thermal runaway and prevent thermal diffusion caused by the thermal runaway. Battery Management Systems (BMS) of electric vehicles are also important for monitoring thermal runaway in addition to preventing thermal runaway in control use. The battery management system can send out alarm signals in time after thermal runaway occurs and before accidents occur so as to remind drivers and passengers to leave in time. Therefore, the battery management system is vital to guarantee personnel safety, and if the battery management system can send out an early warning signal before thermal runaway occurs, intervention measures can be taken in advance, dangerous working conditions can be avoided, and the battery management system has very important significance for property and personal safety of vehicle drivers and passengers. The safety requirement of the lithium ion storage battery for the electric vehicle is clear, and a battery management system needs to provide a thermal event alarm signal before the battery is in danger of thermal diffusion for 5min, wherein the battery management system mainly monitors the thermal runaway and the thermal diffusion event of the lithium ion storage battery by utilizing collected temperature signals of a battery module or a single battery, voltage signals of a battery pack or a module or a single battery, current signals and the like in combination with the characteristic of the thermal runaway.
Under the vehicle awakening state, the battery management system works normally to acquire the signals in real time, so that the occurrence of the thermal runaway fault of the battery is monitored and the safety reminding is carried out, but under the vehicle stopping state, each controller is in a dormant state, the battery management system does not work, and the monitoring of the thermal runaway fault cannot be realized. The thermal runaway of the lithium ion power battery is usually a gradual reaction process caused by external factors or internal factors of the battery cell, the thermal runaway is possible in a vehicle parking state, and the probability that the vehicle has an accident in the parking state is higher according to statistics, so that the thermal runaway monitoring and early warning of the lithium ion power storage are realized in the parking state, which is very important.
In order to solve the above technical problems, the inventors have made extensive studies and have proposed a battery control method, a device, and a battery management system according to embodiments of the present invention, which can monitor an abnormal condition of a battery when a vehicle enters a sleep state. Specifically, the battery management system can detect whether the vehicle enters the dormant state, if the vehicle enters the dormant state, whether the battery is abnormal is detected, if the battery is abnormal, the battery management system can output abnormal information, so that the safety of the battery can be detected when the vehicle is stopped, the potential safety hazard of the battery is eliminated, and the use experience of a user can be improved to a certain extent.
As shown in fig. 2, fig. 2 schematically shows a flow chart of a battery control method provided by an embodiment of the present invention. The method is applied to a battery management system for a vehicle, which may include the following steps S110 to S130.
Step S110: whether the vehicle enters a dormant state is detected.
In the embodiment of the present invention, the vehicle is an electric vehicle, and may include a vehicle body, a Battery Management System (BMS), a vehicle control system, and the like, where both the battery management system and the vehicle control system may be disposed in the vehicle body, and the vehicle management system is connected to the battery and the vehicle control system, respectively. The battery may include, but is not limited to, any one of a single power battery, a power battery module, and a power battery pack, and thus the battery mentioned in the present invention may be a lithium ion power battery. In addition, in the embodiment of the invention, when the vehicle control system is in the running state, the vehicle can be considered to be in the working state, and when the vehicle control system stops running, the vehicle can be considered to be in the dormant state. Therefore, the method and the device can judge whether the vehicle control system is running or not, if the vehicle control system is running, the vehicle is in the awakening state, and if the vehicle control system is not in the running state, the vehicle is in the sleeping state.
As one way, the battery management system may detect whether the vehicle enters a sleep state, and when it detects that the vehicle enters the sleep state, the battery management system may start the timed wake-up function, that is, when the vehicle switches from the wake-up state to the sleep state, the battery management system also switches from the wake-up state to the sleep state, but in this process, because the battery management system may start the timed wake-up function, the battery management system may switch from the sleep state to the wake-up state after a preset period of time of sleep.
As another mode, the battery management system may keep its state unchanged when it detects that the vehicle is about to enter the sleep state, that is, when the vehicle receives a vehicle shutdown instruction input by a user, it may switch from the wake state to the sleep state, and the battery management system may also receive a vehicle shutdown instruction input by the user, and the shutdown instruction is sent to the battery management system through the vehicle control system. After receiving a shutdown instruction sent by a vehicle control system, the battery management system firstly judges whether the instruction is a sleep instruction of the vehicle, and if the instruction is the sleep instruction of the vehicle, the battery management system can shield the instruction, namely the battery management system can not switch the battery management system from a wake-up state to a sleep state according to the shutdown instruction sent by the vehicle control system.
Step S120: if the vehicle enters a sleep state, it is detected whether an abnormality occurs in the battery.
In some embodiments, the battery management system may perform a self-wake-up operation, i.e., switch from a sleep state to a wake-up state, after the vehicle enters the sleep state, and detect whether an abnormality occurs in the battery. Specifically, the battery management system may detect whether a thermal runaway fault occurs in the battery or whether a thermal runaway risk exists on the battery, and if the battery management system detects that the thermal runaway fault occurs in the battery or that the thermal runaway risk exists on the battery, output abnormal information, that is, enter step S130; if the battery has no thermal runaway fault or no thermal runaway risk, the battery management system can continuously detect whether the battery is abnormal within a preset time length, and if the battery is not abnormal within the preset time length, the battery management system enters a sleep state. The battery of the vehicle will self-ignite if thermal runaway occurs, and when the thermal runaway of the battery reaches a certain temperature, the temperature inside the battery will rise linearly, which may cause the vehicle to explode, and so on, and therefore, it is important to detect the thermal runaway of the battery.
As one way, the battery management system may obtain an output signal of a pressure sensor, and determine whether a thermal runaway occurs or a thermal runaway risk exists in the battery according to the output signal of the pressure sensor, where the pressure sensor is connected to the battery and is used for detecting a voltage across the battery. The battery management system can be used for acquiring the state of the air pressure sensor connected with the battery, the state of the air pressure sensor can be divided into a working state, a risk state and a fault state, and when the output voltage of the air pressure sensor is smaller than a first voltage threshold value, the air pressure sensor is determined to be in the working state; when the output voltage of the air pressure sensor is greater than or equal to the first voltage threshold, determining that the air pressure sensor is in an air pressure risk state, namely that the battery has a risk of thermal runaway; and when the voltage output by the air pressure sensor is greater than a second voltage threshold value, determining that the air pressure sensor is in a fault state, namely that the battery has a thermal runaway fault, wherein the second voltage threshold value is greater than the first voltage threshold value.
As another mode, the battery management system may obtain parameter information of the battery, and determine whether the battery has a thermal runaway risk according to the parameter information of the battery. The parameters of the battery may include the highest temperature of the battery cell, a rate of temperature rise of the battery cell over time, a difference between the highest temperature and the lowest temperature of the battery cell, the lowest voltage of the battery cell, a voltage sampling open-circuit fault number, and the like. When at least one of the parameter information of the battery meets a preset condition, the battery is indicated to have a thermal runaway risk. The preset condition refers to that the time length for which the highest temperature of the single battery cell is greater than a preset temperature threshold exceeds a first preset time length; the time length that the temperature of the single battery cell increases along with the time is larger than a preset increasing rate threshold exceeds a second preset time length, and the time length that the difference value between the highest temperature and the lowest temperature of the single battery cell is larger than a preset difference threshold exceeds a third preset time length; the duration that the lowest voltage of the battery single electric core is smaller than the preset second voltage threshold exceeds a fourth preset duration; the voltage sampling open circuit failure number of the battery is larger than or equal to a predetermined failure number threshold value and the like. In addition, when the atmospheric pressure sensor is determined to be in the risk state, the battery management system can also judge whether the temperature sensors in the same module of the battery fail, and if the temperature sensors in the same module of the battery fail, the thermal runaway risk of the battery is indicated.
Step S130: and if the battery is detected to be abnormal, outputting abnormal information.
In the embodiment of the invention, if the battery management system detects that the battery has an abnormality, the battery management system outputs the abnormality information, wherein the abnormality information can be information acquired by the battery management system according to the abnormality detected by the battery management system, and the abnormality information can include, but is not limited to, an abnormality reason, an abnormality position, the time when the abnormality occurs and the like. As one mode, the battery management system may wake up the vehicle control system after determining that the battery is abnormal, and send abnormal information to the background through the vehicle control system.
As another mode, the battery management system can wake up the whole vehicle after detecting that the battery is abnormal, send an alarm prompt instruction to the vehicle and instruct the vehicle to send an alarm signal according to the alarm prompt instruction. In addition, the battery management system can also output abnormal information to the user terminal after detecting that the battery is abnormal, and the user can know the condition of the vehicle battery in time by sending the abnormal information to the user terminal, so that unnecessary danger can be avoided to a certain extent.
In some embodiments, step S130 may include steps S131 to S132 as shown in fig. 3.
Step S131: and sending the abnormal information to a background, and indicating the background to analyze the abnormal information to obtain an abnormal analysis result.
In the embodiment of the invention, when the battery management system detects that the battery is abnormal, the abnormal information corresponding to the abnormality is acquired, then the abnormal information is sent to the background through the vehicle control system, and the background is instructed to analyze the abnormal information to obtain the abnormal analysis result, wherein the background can be a cloud server or a cloud service background. In the embodiment of the invention, after the background receives the abnormal information sent by the vehicle control system, the fault of the battery can be analyzed and judged through big data analysis to obtain the abnormal analysis result, so that the accuracy of the abnormal detection result can be ensured, and the main reason is that the battery management system cannot accurately detect and prejudge the abnormality due to the function limitation of the battery management system when detecting the thermal runaway, namely certain false detection may exist when the battery management system detects the abnormality.
In summary, the abnormal information output by the battery management system may be accurate or may be wrong, and therefore after the background receives the abnormal information generated by the vehicle, the background needs to further detect and analyze the abnormal information, accurately judge whether the abnormal information is caused by the thermal runaway of the battery, and further obtain the abnormal analysis result. In the embodiment of the invention, the background further analyzes and judges the abnormal information, so that the false triggering of the alarm information can be avoided, and the battery abnormity can be more accurately analyzed, thereby ensuring the safety of a user.
Step S132: and receiving an abnormal analysis result sent by the background, and sending an alarm prompt according to the abnormal analysis result.
In some embodiments, the background may send the abnormal analysis result to the battery management system after obtaining the abnormal analysis result through the big data analysis, and the battery management system may send an alarm prompt according to the abnormal analysis result after receiving the abnormal information result sent by the background. Therefore, when the battery management system detects that the battery has a thermal runaway fault or is at risk of thermal runaway, the battery management system can correspondingly take some measures according to the detection result. For example, when the battery management system detects that a thermal runaway fault occurs in the battery, an alarm signal is sent to inform a user of timely handling the fault, and meanwhile, alarm information is sent to after-sales personnel, and the after-sales personnel are arranged to go to the position of the vehicle to handle the fault; when the battery management system detects that the battery has a thermal runaway risk, early warning information can be sent to the user terminal to prompt the user that the battery has certain potential safety hazard, please pay attention to maintenance and the like; when the abnormal analysis result indicates that the battery has no risk, the battery management system does not output prompt information, and meanwhile, the battery management system can keep important monitoring on the battery so as to prevent the battery from generating a thermal runaway accident.
According to the battery control method provided by the embodiment of the invention, when the vehicle enters the dormant state, the abnormal condition of the battery can be monitored when the vehicle enters the dormant state. Specifically, the battery management system can detect whether the vehicle enters a dormant state or not, detect whether the battery is abnormal or not if the vehicle enters the dormant state, and output abnormal information if the battery is detected to be abnormal, so that the safety of the battery in a stopped state can be detected by the vehicle, the potential safety hazard of the battery is eliminated, meanwhile, when the battery is detected to be abnormal, the battery management system can send the abnormal information to a background to instruct the background to analyze the abnormal information, obtain an abnormal analysis result, and can realize accurate and comprehensive prejudgment of the fault of the battery through big data analysis, diagnose the health state of the battery under the condition that a user does not sense, take intervention measures in advance, and avoid serious events such as thermal runaway and the like.
As shown in fig. 4, another embodiment of the present invention provides a charge control method that may be applied to a battery management method of a vehicle, including the following steps S201 to S211.
Step S201: whether the vehicle enters a dormant state is detected.
Step S202: it is detected whether the state of charge of the battery of the vehicle is greater than a safety threshold.
As one way, the state of charge of the battery is an important parameter of the battery management system, and its accuracy directly affects the use experience of the customer, so the accuracy of the state of charge of the battery is a key parameter for measuring the level of the battery management system, and when the state of charge of the battery of the vehicle is greater than the safety threshold, the battery management system may detect whether the battery is abnormal, that is, step S203 is performed.
In the embodiment of the invention, the state of charge of the battery is mainly used for reflecting the residual capacity of the battery, which represents the ratio of the residual capacity of the battery of the vehicle after being used for a period of time or left unused for a long time to the capacity of the battery in a full charging state, and the state of charge of the battery can be represented by 0-1. When the state of charge of the battery is 0, the battery is completely discharged, namely the residual capacity of the vehicle is 0; when the state of charge of the battery is 1, the battery is fully charged; when the state of charge of the battery is smaller than the safety threshold, the battery management system is in a dormant state when the state of charge of the battery is smaller than the safety threshold. The safety threshold may be a preset minimum state of charge value, or a state of charge value set by the battery management system according to the service life of the battery, for example, the safety threshold may be set to 30%. If the state of charge of the battery is smaller than or equal to the safety threshold, the battery management system enters a dormant state and does not execute self-awakening operation, so that the static power consumption of the vehicle in a parking state can be reduced to a certain extent.
Step S203: and judging whether the vehicle is in a risk working condition within a preset time period.
In the embodiment of the present invention, when the battery management system detects that the state of charge of the battery is greater than the safety threshold, it may further determine whether the vehicle is in a dangerous condition within a preset time period, and if the vehicle is in a dangerous condition within the preset time period, it detects whether the battery is abnormal, i.e., the process goes to step S204. If the dangerous working condition does not occur in the vehicle within the preset time period, the battery management system enters a dormant state and sleeps for a third time period, and then the step S205 is executed. The risk condition refers to a condition that the battery undergoes high-voltage charging or large-current discharging, the high-voltage charging may be a condition that the voltage of the battery is relatively high after the battery is charged, and the large-current discharging may be a condition that the battery undergoes large-current discharging.
As a mode, the battery management system may obtain a plurality of cell voltages of the battery within a preset time period, and determine whether a cell voltage greater than a voltage threshold exists in the plurality of cell voltages, and if so, determine that a risk of a dangerous working condition occurs to the vehicle within the preset time period. The preset time period may be a duration of time from ignition to powering off of the vehicle when the vehicle is parked, that is, if the battery management system detects that a cell voltage greater than a voltage threshold exists in the period from ignition to powering off of the vehicle when the vehicle is parked, it indicates that a dangerous working condition occurs in the vehicle in the preset time period. For example, if the vehicle is ignited and started at 9:00 a.m. and is stopped and powered off at 11:00 a.m., the preset time period is 9:00 a.m. to 11:00 a.m., if it is detected that the cell voltage of the battery is 4.1V and the voltage threshold is 4V at 9:30 a.m., it is obvious that the cell voltage is greater than the voltage threshold in the preset time period, and this indicates that a dangerous condition occurs in the vehicle in the preset time period.
As another mode, the battery management system may also obtain the highest cell voltage of the battery within a preset time period, and determine whether the highest cell voltage value is greater than a voltage threshold, and if the highest cell voltage is greater than the voltage threshold, it indicates that a risk condition occurs in the vehicle within the preset time period. Specifically, the battery management system may obtain the cell voltages of the vehicle at each moment in a preset time period, sequence the voltages to obtain the highest cell voltage, and then determine whether the highest cell voltage is greater than a voltage threshold, wherein if the highest cell voltage is greater than the voltage threshold, it indicates that the vehicle is in a dangerous working condition in the preset time period.
As another mode, if it is determined that the cell voltage is not greater than the voltage threshold value within the preset time period, the battery management system determines whether the vehicle has undergone a condition of excessive current discharge within the preset time period, and if the vehicle has undergone the condition of excessive current discharge, the battery management system indicates that a dangerous working condition occurs in the vehicle within the preset time period. For example, the vehicle may be started at 16:00 PM and stopped at 18:00 PM, and the 17:10 PM discharge current is greater than the predetermined current 1C for a predetermined period of time, indicating that the vehicle is in a dangerous condition between 16:00 PM and 18:00 PM.
As another mode, the battery management system may also determine whether the battery has large current discharge within a preset time period, if not, determine whether a condition that the cell voltage is greater than a voltage threshold exists within the preset time period, and if so, indicate that a dangerous working condition occurs in the vehicle within the preset time period. Or, the battery management system may also simultaneously determine whether the battery has large current discharge within a preset time period, and determine that the cell voltage is greater than the voltage threshold, and specifically how to determine whether the vehicle has a risk condition within the preset time period is not specifically limited, and may be selected according to actual conditions.
In the embodiment of the present invention, the preset time period may be a period of time that the vehicle is powered down from ignition to parking, but if the vehicle is started again within the preset period of time after the power down from parking, the preset time period may refer to a period of time that the vehicle is powered down from the current starting time to the next parking. For example, a vehicle may be ignited for start in 8:00 a.m. and parked for power off in 10:00 a.m., but ignited for start again in 10:01 a.m., and parked again for power off in 12:00 a.m. since the time period between power off in parking and start of re-ignition is less than the preset time period, 8:00 to 12:00 may be used as the preset time period.
It should be noted that the battery management system can directly determine whether the vehicle is in a dangerous working condition within a preset time period, that is, the battery management system detects whether the vehicle is in a dangerous working condition risk within the preset time period in real time; the battery management system can also obtain a risk condition detection result from the vehicle control system, namely the vehicle control system can detect whether the vehicle is in a risk condition or not in real time when the vehicle runs, and if the risk condition is detected, the vehicle control system can send a risk condition detection result to the battery management system so as to inform the battery management system that the vehicle is in the risk condition within a preset time period.
Step S204: it is detected whether or not abnormality occurs in the battery.
In the embodiment of the invention, if the battery management system determines that the vehicle has the risk working condition in the preset time period, the battery management system enters the dormant state, switches from the dormant state to the awakening state based on the awakening instruction after the vehicle is dormant for the first time period, and detects whether the battery is abnormal or not; if the risk working condition of the vehicle does not occur within the preset time period, the battery management system also enters a dormant state, however, in this case, the battery management system needs to be dormant for a third time period before being switched from the dormant state to a wake-up instruction, and then whether the battery is abnormal or not is detected. Obviously, the battery management system can enter a dormant state when determining that the vehicle is in a risk condition within a preset time period, and automatically awaken after sleeping for a certain time period; after determining the risk condition of the vehicle within the preset time period, the battery management system may not enter the sleep state, and directly detect whether the battery is abnormal, where the first time period is 0S. How the battery management system detects the abnormality by self-waking will be described in detail below.
Referring to fig. 5, step S204 may include steps S2041 to S2042.
Step S2041: and entering a dormant state when the dangerous working condition of the vehicle is judged.
In some embodiments, when the battery management system determines that the vehicle is in a dangerous condition within a preset time period, the battery management system enters the sleep state, i.e., switches from the wake state to the sleep state, and before the sleep, the battery management system may turn on the self-wake function and set a first time period, where the first time period is a time period for which the battery management system maintains the sleep state, and after the first time period is set, the battery management system enters the sleep state, and after the first time period for which the battery management system is in the sleep state, the battery management system may switch from the sleep state to the wake state based on the wake command, i.e., step S2042.
As one mode, when the battery management system determines that a dangerous working condition occurs in a vehicle within a preset time period, the battery management system may acquire a risk level of the risk working condition of the vehicle, set a first duration according to the risk level, and then enter a sleep state, where the first duration is a duration for the vehicle management system to maintain the sleep state. Obviously, the risk levels are different, and the corresponding first durations are also different, and when the battery management system determines that the risk level of the vehicle is higher, the first durations can be set to be smaller, and when the battery management system determines that the risk level of the vehicle is lower, the first durations can be set to be larger. Therefore, the corresponding first time lengths are different when the risk levels of the vehicle risk working conditions are different, and the first time length is shorter when the risk levels are larger. For example, when the battery management system detects that a serious large-current discharging condition occurs in the vehicle within a preset time period, the first time period may be set to 0S, that is, the battery management system does not enter a sleep state, and directly detects whether an abnormality occurs in the battery. For another example, the battery management system detects that the vehicle has experienced a light risk condition within a preset time period, and at this time, the first time period may be set to 1 min.
Step S2042: after the battery management system is in a sleep state for a first time, the battery management system is switched to a wake-up state from the sleep state based on the wake-up instruction, and whether the battery is abnormal or not is detected.
It can be known from the above description that, when it is determined that the risk condition level of the vehicle is not relatively high, the battery management system switches from the awake state to the sleep state, and after the first period of sleep, switches from the sleep state to the awake state based on the wake-up command. Specifically, the battery management system may determine whether the wake-up instruction is an instruction triggered by a self-wake-up operation of the battery management system, where the self-wake-up operation is an operation in which the battery management system automatically switches from a sleep state to a wake-up state when the vehicle is in the sleep state; and if the awakening instruction is an instruction triggered by the self-awakening operation of the battery management system, detecting whether the battery is abnormal, and if the awakening instruction is not an instruction triggered by the self-awakening operation of the battery management system, switching the battery management system to an awakening state along with the awakening of the vehicle.
In the embodiment of the invention, the awakening instruction can be an instruction triggered by the battery management system or an awakening instruction sent by the vehicle control system, and when any awakening instruction is received, the battery management system can be switched from the dormant state to the awakening state. However, when the wake-up command is transmitted from the vehicle control system, the battery management system directly switches from the sleep state to the wake-up state without detecting whether the abnormality occurs in the battery. On the contrary, when the wake-up command is triggered by the self-wake-up operation of the battery management system, the battery management system may switch from the sleep state to the wake-up state and detect whether the battery is abnormal, i.e. go to step S204. It should be noted that, when the vehicle is in the sleep state, only the battery management system may be switched from the sleep state to the wake state according to the self-wake instruction, and other devices or systems of the vehicle, such as the vehicle control system, are in the sleep state, so that when the battery management system is in the wake state, it cannot upload data to the background through the controller area network. Therefore, if the battery management system needs to upload a message to the background, the battery management system needs to send a wake-up instruction to the vehicle control system first, and upload the message to the background through the vehicle control system.
Step S205: sleep for a third duration.
It can be known from the above description that the battery management system can sleep for the first time length and then detect whether the battery is abnormal or the battery management system directly maintains the wake-up state to detect whether the battery is abnormal when the vehicle is in the working condition within the predetermined time period, and the battery management system can start the automatic wake-up function when the vehicle is not in the working condition within the predetermined time period, and set the third time length, which is the time length for the battery management system to maintain the sleep. In the embodiment of the present invention, the third duration and the first duration are both sleep durations of the battery management system, and the third duration is greater than the first duration, where the third duration may be 10min, 30min, and the like.
Step S206: and switching from the sleep state to the wake state based on the wake instruction.
In some embodiments, after entering the sleep state, the battery management system may switch from the sleep state to the wake state based on a wake instruction, where the wake instruction may originate from itself or from the vehicle control system, and when the wake instruction originates from the vehicle control system, it indicates that the entire vehicle is woken up, and at this time, the battery management system does not need to continue to detect whether the battery is abnormal. Specifically, the battery management system may determine whether the wake-up command is a command triggered by a self-wake-up operation of the battery management system, and detect whether the battery is abnormal if the wake-up command is a command triggered by the self-wake-up operation of the battery management system.
Step S207: and outputting the abnormal information.
It can be known from the above description that when the battery management system detects that the battery is abnormal, the battery management system outputs abnormal information, and a user can know the condition of the battery in time through the abnormal information, and when the battery management system does not detect that the battery is abnormal, the user can continuously detect whether the battery is abnormal within the second time period, that is, the process goes to step S208.
As another mode, when the battery management system detects that the battery is abnormal, the battery management system outputs abnormal information to the background according to the abnormality, and within a fifth time period of outputting the abnormality, the battery management system can detect whether the abnormal information is successfully sent, and if the information transmission fails, the battery management system can send the abnormal information to the background again, until the abnormal information is successfully sent or the fifth time period is finished, the battery management system stops sending the abnormal information, and enters a dormant state. Because the safety early warning of the battery is mainly realized in the fifth time, the judgment condition and the thermal runaway detection condition are relatively looser, the possibility of misdiagnosis is lower, and the battery management system and the vehicle can enter the dormant state again after the fifth time.
In other embodiments, after outputting the abnormality information, the battery management system may further detect whether there is another abnormality in the battery, that is, whether there is a water inlet condition in the battery while the vehicle is in a sleep state, or whether the insulation resistance value of the battery is lower than a resistance threshold value. If the battery management system detects that other abnormalities exist in the battery, the abnormal values can be sent to the background, or the whole vehicle can be awakened and the vehicle is instructed to send out an alarm signal, so that serious safety accidents caused by the fact that the battery is used after the vehicle is awakened can be avoided.
Step S208: and continuously detecting whether the battery is abnormal or not in the second time period.
In some embodiments, when the battery management system does not detect the abnormality of the battery, it may continuously detect whether the abnormality of the battery occurs within a second time period, wherein the second time period may be referred to as a wake-up time period, which is mainly used for safety monitoring of the battery for a certain time when a dangerous condition of the vehicle is detected and the vehicle is in a sleeping state. In the embodiment of the invention, the second time duration is different from the first time duration and the third time duration, and is mainly the time duration for carrying out abnormality detection on the battery after the battery management system is awakened, and in order to better detect that the second time duration for carrying out abnormality detection on the battery is longer than the first time duration for dormancy and longer than the third time duration for dormancy, the battery management system can set the second time duration to be 1.5h, 2h or 3h and the like. After the battery management system is awakened, it may continuously detect whether the battery is abnormal for the second time period, until the second time period ends or the battery is detected to be abnormal, and then the continuous detection operation is not ended, that is, the process proceeds to step S209.
Step S209: if no abnormality is detected for the second period of time, the continuous detection operation is ended.
In the embodiment of the present invention, if the battery management system does not detect that the battery is abnormal within the second wake-up duration, the continuous detection operation is ended, then the state of charge of the battery of the vehicle is obtained again, and it is determined whether the state of charge is greater than the safety threshold, that is, the process proceeds to step S210.
As one mode, the second time period may be divided into a second wake-up time period and a fourth wake-up time period, where the second wake-up time period may be a wake-up working time of the battery management system after undergoing the first time period dormancy, and the second wake-up time period may be 1.5h, 2h, 3h, and the like; the fourth wake-up time may be a wake-up operating time after the battery management system goes through the third time period of sleep, and the fourth wake-up time may be 25S or 60S, and the like.
As a specific example, the vehicle is ignited to start in 9:00 am, and is stopped and powered down in 11:00 am, then both the vehicle and the battery management system enter a sleep state, the battery management system detects that the state of charge of the battery of the vehicle is greater than a safety threshold before entering the sleep state, and determines whether a risk condition occurs between 9:00 am and 11:00 am, wherein the battery management system is self-awakened after sleeping for a first time length of 10S, the battery management system can continuously detect whether the battery has an abnormality in a second time length of 1.5h when being in the awakened state, the abnormality is output if the abnormality occurs, and the continuous detection operation is ended if the abnormality does not occur.
Step S210: it is detected whether the state of charge of the battery of the vehicle is greater than a safety threshold.
In the embodiment of the invention, if the battery management system does not detect the abnormality in the second time period, the continuous detection operation is ended, whether the charge state of the battery of the vehicle is greater than the safety threshold is detected again, if the charge state of the battery is greater than the safety threshold, the battery management system enters the dormancy state, and is switched to the awakening state from the dormant state based on the awakening instruction after the battery management system is dormant for the third time period. If the state of charge of the battery is less than the safety threshold, the battery management system enters a sleep state and is not performed with the self-awakening operation.
Step S211: entering a sleep state.
It should be noted that, when the battery management system sets the first duration, the second duration, and the third duration, the battery management system may be flexibly set according to actual conditions, rather than being fixed and unchangeable. For example, the third time period may be set to 10min within a preset time period, and the third time period may be set to 30min after the preset time period, where the preset time period refers to the time from the first time the battery management system goes to sleep to the present time. The setting of the first time length and the second time length is similar to that of the third time length, and the repeated description is omitted here, so that the abnormity of the battery can be diagnosed, the power consumption of the battery management system can be reduced, and unnecessary waste of the energy consumption of the battery is avoided.
According to the battery control method provided by the embodiment of the invention, when the vehicle enters the sleep state, whether the battery of the vehicle has a thermal runaway fault or has a thermal runaway risk is determined by detecting the charge state of the battery of the vehicle. Specifically, the battery management system can detect whether the state of charge of the battery of the vehicle is greater than a safety threshold, if the state of charge of the battery is greater than the safety threshold, the battery management system can wake the battery up to detect whether the battery is abnormal when the vehicle is in a dormant state, and if the battery management system detects that the battery is abnormal, abnormal information can be output, so that the safety of the battery can be detected when the vehicle is stopped, and the potential safety hazard of the battery is eliminated. In addition, the invention can flexibly set the dormancy duration and the awakening duration of the battery management system, thereby not only more accurately detecting the abnormality, but also reducing the power consumption of the battery, and during the awakening period of the battery management system, once the abnormality of the battery is detected, the invention can send out early warning information, which is wider and more comprehensive than the fault diagnosis coverage in the driving mode.
As shown in fig. 6, an embodiment of the present invention further provides a battery control apparatus 300, where the battery control apparatus 300 includes: a state detection module 310, an anomaly detection module 320, and an information output module 330.
The status detection module 310 is configured to detect whether the vehicle enters a sleep state.
The abnormality detection module 320 is configured to detect whether the battery is abnormal or not if the state of charge of the battery is greater than a safety threshold.
Further, the battery control device 300 is further configured to detect whether the state of charge of the battery is greater than a safety threshold, and detect whether the battery is abnormal if the state of charge of the battery is greater than the safety threshold.
As one way, the abnormality detection module 320 may include a condition determination unit 321 and an abnormality detection unit 322 as shown in fig. 7.
And the working condition judging unit 321 is configured to judge whether a risk working condition occurs to the vehicle within a preset time period if the state of charge of the battery is greater than a safety threshold, where the risk working condition refers to a condition that the battery undergoes high-voltage charging or large-current discharging.
And an abnormality detection unit 322 for detecting whether an abnormality occurs in the battery if a risk condition occurs in the vehicle within a preset time period.
Further, the anomaly detection unit 322 is further configured to enter a sleep state when it is determined that the vehicle is in a risk condition, switch from the sleep state to a wake state based on a wake-up instruction after the battery management system is in sleep for a first period of time, and detect whether the battery is in an anomaly.
Further, the battery control device 300 is further configured to sleep for a third time period if the risk condition does not occur to the vehicle within the preset time period, where the third time period is longer than the first time period, switch from the sleep state to the wake state based on the wake instruction after sleeping for the third time period, and detect whether the battery is abnormal.
Further, the battery control device 300 is further configured to continuously detect whether the battery is abnormal for a second time period if the battery is not detected to be abnormal, and end the continuous detection operation to detect whether the state of charge of the battery of the vehicle is greater than a safety threshold if the battery is not detected to be abnormal for the second time period.
Further, after detecting whether the state of charge of the battery of the vehicle is greater than a safety threshold, the method includes: when the state of charge of the battery of the vehicle is judged to be larger than a safety threshold value, sleeping for a third time length, wherein the third time length is larger than the first time length, and after the battery management system sleeps for the third time length, switching from the sleeping state to the awakening state based on an awakening instruction, and detecting whether the battery is abnormal or not.
As one mode, switching from a sleep state to a wake state based on a wake instruction, and detecting whether an abnormality occurs in the battery includes: judging whether the awakening instruction is an instruction triggered by the self-awakening operation of the battery management system, wherein the self-awakening operation is the operation that the battery management system is automatically switched from the dormant state to the awakening state when the vehicle is in the dormant state, and if the awakening instruction is the instruction triggered by the self-awakening operation of the battery management system, detecting whether the battery is abnormal.
An information output module 330, configured to output abnormal information if it is detected that the battery is abnormal.
Further, the battery control apparatus 300 is further configured to enter a sleep state if the state of charge of the battery is less than or equal to the safety threshold.
The invention determines whether the battery of the vehicle is abnormal or not by detecting the state of charge of the battery of the vehicle when the vehicle enters the sleep state. Specifically, the battery management system can detect whether the state of charge of the battery of the vehicle is greater than a safety threshold, if the state of charge of the battery is greater than the safety threshold, the battery is detected to be abnormal, if the battery is detected to be abnormal, the battery management system can output abnormal information, so that the safety of the battery can be detected when the vehicle is stopped, the potential safety hazard of the battery is eliminated, and the use experience of a user can be improved to a certain extent.
As shown in fig. 8, the embodiment of the present invention further provides a battery management system 400, where the battery management system 400 includes a processor 410 and a memory 420, where the memory 420 stores computer program instructions, and the computer program instructions are called by the processor 410 to execute the above-mentioned battery control method 100 or battery control method 200.
Processor 410 may include one or more processing cores. The processor 410 interfaces with various components within the overall battery management system using various interfaces and lines to perform various functions of the battery management system and to process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 420 and invoking data stored in the memory 420. Alternatively, the processor 410 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 410 may integrate one or more of a Central Processing Unit (CPU) 410, a Graphics Processing Unit (GPU) 410, a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 410, but may be implemented by a communication chip.
The Memory 420 may include a Random Access Memory (RAM) 420 or a Read-Only Memory (Read-Only Memory) 420. The memory 420 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 420 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function, instructions for implementing the various method embodiments described above, and the like. The storage data area may also store data created by the battery management system in use, and the like.
As shown in fig. 9, an embodiment of the present invention further provides a vehicle 500, where the vehicle 500 includes a vehicle body 510, a battery 520, and the battery management system 400, where the battery management system 400 is disposed in the vehicle body 510, and the battery management system 400 is electrically connected to the battery 520.
In this embodiment, the battery 520 may include, but is not limited to, any one of a single power battery, a power battery module, and a power battery pack.
Further, the vehicle 500 further includes a center console, which is disposed within the vehicle body 510.
As shown in fig. 10, an embodiment of the present invention further provides a computer-readable storage medium 600, in which computer program instructions 610 are stored in the computer-readable storage medium 600, and the computer program instructions 610 can be called by a processor to execute the method described in the above embodiment.
The computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium includes a non-volatile computer-readable storage medium. The computer-readable storage medium 600 has storage space for program code for performing any of the method steps described above. The program code can be read from or written to one or more computer program products. The program code may be compressed, for example, in a suitable form.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A battery control method, characterized by being applied to a battery management system of a vehicle, the method comprising:
detecting whether the vehicle enters a dormant state;
detecting whether the battery is abnormal or not if the vehicle enters a sleep state;
and if the battery is detected to be abnormal, outputting abnormal information.
2. The method according to claim 1, wherein before detecting whether the battery is abnormal, the method comprises:
detecting whether the state of charge of the battery is greater than a safety threshold;
and if the state of charge of the battery is larger than a safety threshold, detecting whether the battery is abnormal or not.
3. The method of claim 2, wherein said detecting if said battery is abnormal if said battery state of charge is greater than a safety threshold comprises:
if the state of charge of the battery is larger than a safety threshold, judging whether a risk working condition occurs to the vehicle within a preset time period, wherein the risk working condition refers to the condition that the battery is charged by high voltage or discharged by large current;
and if the vehicle is in a risk working condition within a preset time period, detecting whether the battery is abnormal or not.
4. The method of claim 3, wherein detecting whether the battery is abnormal if the vehicle is in a risk condition for a preset period of time comprises:
when the risk condition of the vehicle is judged, entering a dormant state;
and after the battery management system is in a dormant state for a first time, switching from the dormant state to a wake-up state based on a wake-up instruction, and detecting whether the battery is abnormal.
5. The method of claim 3, further comprising:
if the vehicle does not have a risk working condition within a preset time period, sleeping for a third time period, wherein the third time period is longer than the first time period;
and after sleeping for the third time length, switching from the sleeping state to the awakening state based on an awakening instruction, and detecting whether the battery is abnormal or not.
6. The method of claim 1, further comprising:
if the battery is not detected to be abnormal, continuously detecting whether the battery is abnormal or not within a second time length;
if the abnormality is not detected within the second time period, ending the continuous detection operation;
detecting whether a state of charge of a battery of the vehicle is greater than a safety threshold.
7. The method of claim 6, wherein after detecting whether the state of charge of the battery of the vehicle is greater than a safety threshold, further comprising:
when the state of charge of the battery of the vehicle is judged to be larger than a safety threshold value, sleeping for a third time length, wherein the third time length is larger than the first time length;
and after the battery management system sleeps for the third time length, switching from the sleeping state to the awakening state based on an awakening instruction, and detecting whether the battery is abnormal or not.
8. The method according to any one of claims 4, 5 or 7, wherein the switching from the sleep state to the wake state based on the wake instruction and detecting whether the battery is abnormal comprises:
judging whether the awakening instruction is an instruction triggered by a self-awakening operation of the battery management system, wherein the self-awakening operation is an operation that the battery management system is automatically switched from a dormant state to an awakening state when the vehicle is in the dormant state;
and if the awakening instruction is an instruction triggered by the self-awakening operation of the battery management system, detecting whether the battery is abnormal or not.
9. A battery control apparatus, characterized by being applied to a battery management system of a vehicle, the apparatus comprising:
the state detection module is used for detecting whether the vehicle enters a dormant state or not;
an abnormality detection module for detecting whether the battery is abnormal if the vehicle enters a sleep state;
and the information output module is used for outputting abnormal information if the battery is detected to be abnormal.
10. A battery management system comprising a processor and a memory, the memory storing computer program instructions which, when invoked by the processor, perform the battery control method of any of claims 1 to 8.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112319305A (en) * 2020-10-10 2021-02-05 蔚来汽车科技(安徽)有限公司 Safety monitoring method, monitoring system and device for vehicle
CN112486528A (en) * 2020-11-09 2021-03-12 浙江吉利控股集团有限公司 Vehicle over-the-air OTA (over-the-air technology) upgrading method
CN112731169A (en) * 2020-12-22 2021-04-30 上汽大众汽车有限公司 All-weather monitoring system and method for thermal runaway of power battery
CN112977160A (en) * 2021-04-06 2021-06-18 广州汽车集团股份有限公司 Battery management method, battery system, vehicle, and computer storage medium
CN113064939A (en) * 2021-04-07 2021-07-02 北京理工大学 New energy vehicle three-electric-system safety feature database construction method
CN113525094A (en) * 2021-07-13 2021-10-22 广州小鹏智慧充电科技有限公司 Battery control method and device, vehicle system and storage medium
CN114333099A (en) * 2021-12-10 2022-04-12 华人运通(上海)云计算科技有限公司 Vehicle use condition monitoring method and device and vehicle
EP4005850A1 (en) * 2020-11-26 2022-06-01 Nio Technology (Anhui) Co., Ltd Monitoring method, device, and system for low-voltage vehicle battery, server, and medium
CN114796932A (en) * 2021-06-25 2022-07-29 宇通客车股份有限公司 Battery pack safety protection oxygen concentration control method and system and vehicle

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015080328A (en) * 2013-10-16 2015-04-23 トヨタ自動車株式会社 Electric vehicle power supply system
CN106054083A (en) * 2016-06-27 2016-10-26 北京新能源汽车股份有限公司 Safety monitoring method and device for power battery system
CN106066457A (en) * 2016-05-25 2016-11-02 烟台创为新能源科技有限公司 A kind of battery thermal runaway detecting system and detection method thereof
CN107672466A (en) * 2017-08-30 2018-02-09 北京长城华冠汽车科技股份有限公司 A kind of monitoring method and device of batteries of electric automobile bag temperature
CN107933335A (en) * 2017-10-26 2018-04-20 深圳市沃特玛电池有限公司 The monitoring method of electric automobile and its power battery
CN108382206A (en) * 2018-01-22 2018-08-10 深圳市沃特玛电池有限公司 Electric vehicle
US10363825B2 (en) * 2017-01-26 2019-07-30 Borgward Trademark Holdings Gmbh Method, battery management system and vehicle for charging awakening
CN110148991A (en) * 2019-06-17 2019-08-20 北京理工大学 A kind of over-charging of battery method for early warning and system based on big data
CN110406424A (en) * 2019-07-11 2019-11-05 厦门金龙旅行车有限公司 A kind of new-energy automobile power battery all the period of time monitoring system and method
CN110962677A (en) * 2018-09-29 2020-04-07 大陆汽车电子(连云港)有限公司 Monitoring method and system for vehicle standing
CN111293372A (en) * 2020-02-14 2020-06-16 宁波吉利汽车研究开发有限公司 Safety management system and method for battery pack of electric vehicle

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015080328A (en) * 2013-10-16 2015-04-23 トヨタ自動車株式会社 Electric vehicle power supply system
CN106066457A (en) * 2016-05-25 2016-11-02 烟台创为新能源科技有限公司 A kind of battery thermal runaway detecting system and detection method thereof
CN106054083A (en) * 2016-06-27 2016-10-26 北京新能源汽车股份有限公司 Safety monitoring method and device for power battery system
US10363825B2 (en) * 2017-01-26 2019-07-30 Borgward Trademark Holdings Gmbh Method, battery management system and vehicle for charging awakening
CN107672466A (en) * 2017-08-30 2018-02-09 北京长城华冠汽车科技股份有限公司 A kind of monitoring method and device of batteries of electric automobile bag temperature
CN107933335A (en) * 2017-10-26 2018-04-20 深圳市沃特玛电池有限公司 The monitoring method of electric automobile and its power battery
CN108382206A (en) * 2018-01-22 2018-08-10 深圳市沃特玛电池有限公司 Electric vehicle
CN110962677A (en) * 2018-09-29 2020-04-07 大陆汽车电子(连云港)有限公司 Monitoring method and system for vehicle standing
CN110148991A (en) * 2019-06-17 2019-08-20 北京理工大学 A kind of over-charging of battery method for early warning and system based on big data
CN110406424A (en) * 2019-07-11 2019-11-05 厦门金龙旅行车有限公司 A kind of new-energy automobile power battery all the period of time monitoring system and method
CN111293372A (en) * 2020-02-14 2020-06-16 宁波吉利汽车研究开发有限公司 Safety management system and method for battery pack of electric vehicle

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* Cited by examiner, † Cited by third party
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CN112486528A (en) * 2020-11-09 2021-03-12 浙江吉利控股集团有限公司 Vehicle over-the-air OTA (over-the-air technology) upgrading method
CN112486528B (en) * 2020-11-09 2022-08-02 浙江吉利控股集团有限公司 Vehicle over-the-air OTA (over-the-air technology) upgrading method
EP4005850A1 (en) * 2020-11-26 2022-06-01 Nio Technology (Anhui) Co., Ltd Monitoring method, device, and system for low-voltage vehicle battery, server, and medium
CN112731169A (en) * 2020-12-22 2021-04-30 上汽大众汽车有限公司 All-weather monitoring system and method for thermal runaway of power battery
CN112731169B (en) * 2020-12-22 2022-08-23 上汽大众汽车有限公司 All-weather monitoring system and method for thermal runaway of power battery
CN112977160A (en) * 2021-04-06 2021-06-18 广州汽车集团股份有限公司 Battery management method, battery system, vehicle, and computer storage medium
CN113064939A (en) * 2021-04-07 2021-07-02 北京理工大学 New energy vehicle three-electric-system safety feature database construction method
CN114796932A (en) * 2021-06-25 2022-07-29 宇通客车股份有限公司 Battery pack safety protection oxygen concentration control method and system and vehicle
CN113525094A (en) * 2021-07-13 2021-10-22 广州小鹏智慧充电科技有限公司 Battery control method and device, vehicle system and storage medium
CN114333099A (en) * 2021-12-10 2022-04-12 华人运通(上海)云计算科技有限公司 Vehicle use condition monitoring method and device and vehicle
CN114333099B (en) * 2021-12-10 2023-12-05 华人运通(上海)云计算科技有限公司 Method and device for monitoring vehicle use condition and vehicle

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