CN113696780B - Battery management system self-wake-up diagnosis method, battery management system and vehicle - Google Patents
Battery management system self-wake-up diagnosis method, battery management system and vehicle Download PDFInfo
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- CN113696780B CN113696780B CN202010442677.6A CN202010442677A CN113696780B CN 113696780 B CN113696780 B CN 113696780B CN 202010442677 A CN202010442677 A CN 202010442677A CN 113696780 B CN113696780 B CN 113696780B
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- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000003745 diagnosis Methods 0.000 title claims abstract description 33
- 238000012544 monitoring process Methods 0.000 claims abstract description 53
- 230000002618 waking effect Effects 0.000 claims abstract description 24
- 230000004044 response Effects 0.000 claims description 7
- 230000004622 sleep time Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 description 15
- 230000007774 longterm Effects 0.000 description 8
- 230000002035 prolonged effect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000000737 periodic effect Effects 0.000 description 4
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- 238000003491 array Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000004092 self-diagnosis Methods 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
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- 238000012545 processing Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000036578 sleeping time Effects 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract
The invention discloses a self-wake-up diagnosis method of a battery management system, the battery management system and a vehicle, wherein the self-wake-up diagnosis method of the battery management system comprises the following steps: the battery management system responds to the power-down instruction and starts an automatic wake-up mode; in the automatic wake mode, the battery management system periodically self-wakes up and monitors battery status; and determining the next wake-up time interval according to the battery state monitoring result and the wake-up time interval. The method can realize the function of automatically waking up the battery management system to monitor the state of the battery system, and reduce the waking up power consumption.
Description
Technical Field
The present invention relates to the field of vehicle technologies, and in particular, to a method for self-wake-up diagnosis of a battery management system, a non-transitory computer storage medium, a device for self-wake-up diagnosis of a battery management system, and a vehicle.
Background
The Battery management system (Battery MANAGEMENT SYSTEM, BMS) of the electric automobile ensures the safe operation of the Battery by monitoring the physical quantity of the Battery. The battery physical quantity detection includes: cell voltage, cell temperature, total battery voltage, and current. After the whole vehicle is parked, the BMS completely enters a dormant state, and the battery management system also enters the dormant state. Because electric automobile is at the in-process of parking probably takes place the spontaneous combustion incident of battery, consequently electric automobile needs to monitor the battery at whole car in-process of parking, requires BMS to implement automatic wake-up and accomplishes battery monitoring, especially when the vehicle is in the time of parking for a long time, BMS needs can be automatic wake-up, periodic inspection battery system state, prevents that the battery from being in the state of being out of control.
In the related art, a Real Time Clock (RTC) chip is integrated on a BMS for periodically waking up the BMS to check the state of a battery system, specifically, an MCU (Micro Control Unit ) sets a fixed Time for the Real Time Clock through an SPI (serial peripheral interface ), and when the fixed Time is reached, an RTC overflows at a fixed Time, and then a port output wakes up the battery management system. However, in the method, when the vehicle is in a long-term parking state, the battery management system needs to consume the energy of the low-voltage power supply because of periodic self-awakening in a fixed time, and the battery pack cannot be charged, so that the battery pack is over-discharged due to the fact that the battery pack is finally empty for a long time, the power consumption is high, the battery management system cannot self-awaken, and the situation that a user cannot start the vehicle is caused, so that the awakening strategy is not intelligent enough.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, an object of the present invention is to provide a method for self-wake-up diagnosis of a battery management system, which can realize the function of automatically waking up the battery management system to monitor the state of the battery system, and reduce the wake-up power consumption.
Another object of the present invention is to provide a non-transitory computer storage medium.
It is a third object of the present invention to provide a device for self-wake-up diagnosis of a battery management system.
Another object of the present invention is to provide a battery management system.
A fourth object of the present invention is to provide a vehicle.
In order to solve the above problem, a method for self-wake-up diagnosis of a battery management system according to an embodiment of a first aspect of the present invention includes: the battery management system responds to the power-down instruction and starts an automatic wake-up mode; in the automatic wake mode, the battery management system periodically self-wakes up and monitors battery status; and determining the next wake-up time interval according to the battery state monitoring result and the wake-up time interval.
According to the method for diagnosing the self-wakeup of the battery management system, when the vehicle is in the power-down state, the battery management system starts an automatic wakeup mode, so that the battery management system can periodically self-wakeup and monitor the battery state, the function of automatically waking up and monitoring the battery system state of the battery management system is realized, the phenomenon of out of control of the battery is avoided, and when the vehicle is in a long-term parking state, the next wakeup time interval is determined according to the monitoring result of the battery state and the time interval of the wakeup, therefore, compared with the mode of waking up the battery management system in a fixed duration, the method provided by the embodiment of the invention adopts a wakeup strategy with the self-adaptive variable duration, namely the time interval of the next wakeup is determined by combining the monitoring result of the battery state of the wakeup, so that the waiting duration of the battery management system can be self-adaptively adjusted when the battery is in a normal state, the time of waking up the battery management system can be continuously prolonged, the wakeup frequency of the battery management system is reduced, and the wakeup power consumption is reduced.
In some embodiments, the battery management system obtains a current battery monitoring result, and determines a next wake-up time interval according to the current battery monitoring result and the current wake-up time interval, including: the battery management system determines that the sleeping time length reaches the wake-up time interval, self-wakes up and monitors the battery state, and obtains the battery state monitoring result; determining a battery state risk level according to the battery state monitoring result; and determining the next wake-up time interval according to the wake-up time interval and the battery state risk level.
In some embodiments, the kth wake-up time interval and the kth+1th wake-up time interval satisfy the following formula:
T(k+1)＝f(n)*T(k)；
Wherein k is the number of self-awakening awakenings, n is a battery state risk level coefficient, f (n) is a level correction function, T (k) is the kth awakening time interval, and T (k+1) is the kth+1th awakening time interval.
In some embodiments, the method further comprises: acquiring driving rule information; determining power-on time according to the driving rule information; and presetting time before the power-on time, and enabling the battery management system to wake up and monitor the battery state. By combining the driving habit of the user, the system self-diagnosis is implemented in advance, and the driving experience is improved.
In some embodiments, the method further comprises: and according to the battery state monitoring result, determining that the battery power is lower than a power threshold or the battery system has faults, and sending monitoring reminding information.
An embodiment of a second aspect of the present invention provides a non-transitory computer storage medium having a computer program stored thereon, wherein the computer program when executed implements the method for self-wake-up diagnosis of a battery management system described in the above embodiment.
An embodiment of a third aspect of the present invention provides an apparatus for self-wake-up diagnosis of a battery management system, including: the starting module is configured to respond to the power-down instruction and start an automatic wake-up mode; and the wake-up module is configured to periodically wake up the battery management system to monitor the battery state in an automatic wake-up mode, wherein the next wake-up time interval is determined according to the battery state monitoring result and the wake-up time interval.
According to the device for diagnosing the self-wakeup of the battery management system, when the vehicle is in the power-down state, the automatic wakeup mode is started through the starting module, and the battery management system is periodically waken through the wakeup module to monitor the battery state, so that the function of automatically waking up the battery management system to monitor the battery system state is realized, the battery is prevented from being in a runaway state, and the next wakeup time interval is determined according to the current battery state monitoring result and the current wakeup time interval when the battery is automatically waken up each time, so that the time for waking up the battery management system can be continuously prolonged when the battery is in a normal state, the wakeup frequency of the battery management system is reduced, and the wakeup power consumption is reduced.
An embodiment of a fourth aspect of the present invention provides a battery management system including: the timing unit sends an interrupt signal when the timing unit overflows at fixed time; a system base chip for responding to the interrupt signal to send out a power supply signal; and the control unit is powered on in response to the power supply signal and executes the self-wake-up diagnosis method of the battery management system.
According to the battery management system provided by the embodiment of the invention, the control unit adopts the method for self-wake-up diagnosis of the battery management system, the timing unit sends the interrupt signal to the system base chip and the system base chip sends the power supply signal to the control unit when the vehicle is in the power-down state and overflows at regular time, and the control unit wakes the battery management system to monitor the battery state, so that the function of automatically waking up the battery management system to monitor the battery system state is realized, the battery is prevented from being in an out-of-control state, and the wake-up power consumption is reduced.
An embodiment of a fourth aspect of the present invention provides a vehicle including: a battery system; the battery management system of the above embodiment is used for periodically waking up and diagnosing the state of the battery system.
According to the vehicle provided by the embodiment of the invention, the state of the battery system is monitored by adopting the battery management system provided by the embodiment of the invention, and when the vehicle is parked for a long time, the sleep time of the battery management system during each wake-up can be adaptively adjusted, so that the wake-up power consumption is reduced.
In some embodiments, the vehicle further comprises: and the communication device is connected with the battery management system and is used for sending monitoring reminding information.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of a method of battery management system self-wake diagnostics in accordance with one embodiment of the present invention;
FIG. 2 is a schematic diagram of a battery management system sending an alert to a user terminal according to one embodiment of the invention;
FIG. 3 is a block diagram of a battery management system self-wake-up diagnostic apparatus according to one embodiment of the present invention;
Fig. 4 is a block diagram of a battery management system according to an embodiment of the present invention;
Fig. 5 is a block diagram of a vehicle according to an embodiment of the invention.
Reference numerals:
The battery management system self-wakes up the diagnostic device 1; a start module 11; a wake-up module 12;
a battery management system 10; a timing unit 2; a system base chip 3; a control unit 4;
A vehicle 20; a battery system 5; a communication device 6.
Detailed Description
Embodiments of the present invention will be described in detail below, by way of example with reference to the accompanying drawings.
In order to solve the above problems, a method for self-wake-up diagnosis of a battery management system according to an embodiment of the first aspect of the present invention, which can realize a function of automatically waking up the battery management system to monitor the state of the battery system, and reduce wake-up power consumption, will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for self-wake-up diagnosis of a battery management system according to an embodiment of the first aspect of the present invention, where, as shown in fig. 1, the method of the embodiment of the present invention at least includes steps S1-S3.
Step S1, the battery management system responds to a power-down instruction and starts an automatic wake-up mode.
In an embodiment, the switch gear of the vehicle at least includes an ON gear and an OFF gear, the vehicle is switched from the ON gear to the OFF gear according to the operation of the driver, the whole vehicle controller executes a down current process according to the power-down signal of the ON gear, and sends a power-down instruction to the battery management system to start the automatic wake-up mode, and step S2 is executed.
Step S2, in the automatic wake-up mode, the battery management system periodically self-wakes up and monitors the battery status.
Wherein the periodic time intervals of the self-wakeup of the battery management system are the same or different.
In the embodiment, when the vehicle is in a parking state, particularly in a long-term parking state, the battery management system is required to automatically wake up to check the state of the battery system and prevent the battery system from being in a runaway state.
And step S3, determining the time interval of the next awakening according to the monitoring result of the current battery state and the time interval of the awakening.
In an embodiment, the method of the embodiment of the invention adopts a self-adaptive time-variable wake-up strategy to periodically self-wake up the battery management system so as to monitor the battery state. Specifically, when the battery management system is in an automatic wake-up mode, the battery management system is periodically awakened to diagnose the state of the battery system and the state of the battery management system, and the diagnosis results of the battery management system and the battery system diagnosis are obtained each time, namely, the current battery state monitoring result is obtained each time when the battery management system is automatically awakened, and the next wake-up time interval is determined according to the current wake-up time interval, so that the next wake-up time interval can be adjusted in a self-adaptive manner according to the battery state monitoring result obtained each time when the vehicle is in a long-term parking process, when the battery system state is better, the time interval for waiting for the next wake-up of the battery management system is prolonged, namely, the next wake-up time interval is larger than the current wake-up time interval to reduce the wake-up frequency of the battery management system, otherwise, the time interval for waiting for the next wake-up of the battery management system is shortened, namely, the next wake-up time interval is smaller than the current wake-up time interval to increase the wake-up frequency of the battery management system, in this way, the vehicle is in a long-term parking state and the wake-up time interval is in a long-term parking state, the wake-up time is in the state of the battery management system is in a state, the wake-up time is prolonged, the wake-up time is not to be started, and the power consumption of the system is reduced, and the time is not is kept in a regular time, and the system is in a user is in a wake-up mode is started when the system is in a time is lower.
It should be noted that the periodic time interval of the self-wake-up of the battery management system may be the same, for example, if the battery state monitoring result obtained this time is the same as the last battery state monitoring result, the time interval required for the two wake-ups is the same.
The wake-up time interval can be understood as a sleep time of the battery management system between two adjacent wake-ups, and in the automatic wake-up mode, the time interval of the first wake-up can be set in advance according to actual requirements.
According to the method for diagnosing the self-wakeup of the battery management system, when the vehicle is in the power-down state, the battery management system starts an automatic wakeup mode, so that the battery management system can periodically self-wakeup and monitor the battery state, the function of automatically waking up and monitoring the battery system state of the battery management system is realized, the phenomenon of out of control of the battery is avoided, and when the vehicle is in a long-term parking state, the next wakeup time interval is determined according to the monitoring result of the battery state and the time interval of the wakeup, therefore, compared with the mode of waking up the battery management system in a fixed duration, the method provided by the embodiment of the invention adopts a wakeup strategy with the self-adaptive variable duration, namely the time interval of the next wakeup is determined by combining the monitoring result of the battery state of the wakeup, so that the duration waiting for each time of the battery management system can be adaptively adjusted, the time of waking up the battery management system can be continuously prolonged when the battery is in a normal state, and the wakeup frequency of the battery management system is reduced, and the wakeup power consumption is reduced.
In an embodiment, a battery management system obtains a current battery monitoring result, and determines a next wake-up time interval according to the current battery monitoring result and the current wake-up time interval, including that the battery management system determines that a current sleep time reaches the current wake-up time interval, self-wakes up and monitors a battery state to obtain a current battery state monitoring result; and determining the battery state risk level according to the battery state monitoring result, and further determining the next wake-up time interval according to the wake-up time interval and the battery state risk level. That is, the method of the embodiment of the invention sets the battery state monitoring results obtained each time in a grading manner, sets the corresponding battery state risk level coefficient, so that the better the battery state is, the higher the corresponding battery state risk level coefficient is, thereby determining the corresponding battery state risk level coefficient according to the battery state monitoring results obtained during each time of waking, further determining the next waking time interval according to the current battery state risk level coefficient and the current waking time interval, so that the next waking time interval is prolonged and the waking power consumption is reduced when the diagnosis grade coefficient is higher.
For example, the first wake-up time interval is set to 3H and the timing unit is written. When the battery management system receives a power-down instruction, an automatic wake-up mode is started, a timing unit starts timing, when the timing unit reaches 3H, the timing unit overflows, the battery management system is wakened up to detect the battery state and the state of the battery management system, meanwhile, a second wake-up time interval is determined according to the first wake-up time interval and a first acquired battery state risk grade coefficient, if the battery state monitoring result is good, the time interval of the second wake-up waiting is prolonged, if the battery state monitoring result is poor, the time interval of the second wake-up waiting is shortened, and the battery management system is periodically wakened up to monitor the state of the battery system, so that the battery system is prevented from being in an out-of-control state.
For the battery state risk level coefficient, a plurality of diagnosis levels can be set according to actual requirements in combination with the battery state monitoring result so as to improve the accuracy of adaptively adjusting the next wake-up time interval, for example, the battery state monitoring result can be set to be divided into three battery state risk levels: the first level is excellent, the second level is good, the third level is general, and the corresponding risk level coefficients of the battery state are 1, 0.5 and 0.25 respectively. In an embodiment, the kth wake-up time interval and the kth+1th wake-up time interval satisfy the following formula:
T(k+1)＝f(n)*T(k)；
Wherein k is the number of self-awakening awakenings, n is a battery state risk level coefficient, f (n) is a level correction function, T (k) is the kth awakening time interval, and T (k+1) is the kth+1th awakening time interval.
For example, set T (1) =3h, f (n) = 2*n, and set three battery state risk levels: the first level is excellent, the second level is good, the third level is general, the corresponding battery state risk level coefficients n are 1, 0.5 and 0.25 respectively, and if the first diagnosis result is excellent, the next wake-up time interval T (2) =6h; if the first diagnosis result is good, the next wake-up time interval T (2) =3h; if the first diagnosis result is normal, the next wake-up time interval T (2) =1.5h.
It should be noted that, f (n) is a level correction function, that is, the risk level coefficient n of the battery state can be corrected according to the actual requirement, so as to further improve the accuracy of adaptively adjusting the next wake-up time interval.
In some embodiments, the method of the embodiment of the present invention further includes obtaining driving law information, determining a power-on time according to the driving law information, and presetting a time before the power-on time, and the battery management system self-wakes up and monitors a battery state. That is, in the method of the embodiment of the present invention, the accumulated time length from the start of the power-on of the driving discharge to the end of the driving discharge of the user per day may be recorded by the battery management system as the driving duration of the day and corresponds to the time calendar, and the battery management system may store the vehicle-using time recorded in a certain time, for example, store the time from the start of the driving to the end of the driving of the user per day in two consecutive weeks as driving rule information, so as to determine the power-on time according to the driving rule information, so as to wake up the battery management system in advance to monitor the state of the battery, for example, according to the driving rule, wake up the battery management system may be implemented in advance 1H before the user uses the vehicle per day. Therefore, the method of the embodiment of the invention carries out the self-diagnosis of the system in advance according to the working days and in combination with the driving habit of the user so as to determine the use state of the vehicle, can improve the driving experience of the user and can automatically adapt to the driving habit of the user to reach the minimum awakening power consumption.
If the user has a plurality of driving times in one day, a time point at which the power-on of the primary drive closest to the driving rule is started is recorded, for example, if the recorded driving rule is 7-point vehicle, but the user uses the vehicle at 5 points and uses the vehicle again at 7 points, 7 points are taken as the driving rule.
Therefore, in the method of the embodiment of the invention, in response to the power-down instruction, the vehicle executes the self-adaptive variable-duration automatic wake-up strategy, namely periodically wakes up the battery management system to monitor the battery state, wherein each time of automatic wake-up, the next wake-up time interval is determined according to the monitoring result of the battery state and the wake-up time interval until the user exits the automatic wake-up mode when starting the vehicle again, and the power battery is monitored in advance by inquiring the driving rule. When the user detects that the vehicle is not used according to the driving rule, namely the power-on instruction is not detected, the vehicle is triggered to park for a long time, the self-adaptive time-varying automatic wake-up strategy is continuously implemented at the moment, and the wake-up interval is increased so as to reduce the power consumption caused by self-wake-up.
In some embodiments, the method according to the embodiments of the present invention further includes sending monitoring alert information when it is determined, according to the battery status monitoring result, that the battery level of the vehicle is lower than the battery level threshold or that the battery system has a fault. That is, with long-term parking of the vehicle, the energy of the battery pack is gradually consumed, when the battery power is low, the battery pack can be sent to the cloud end through the 4G network, and then the cloud end is sent to the user to remind the user to charge the vehicle, or when the situation that the battery system possibly breaks the safety state is detected, the battery pack is immediately notified to the user through the 4G network to remind the user of vehicle maintenance.
For example, as shown in fig. 2, when the battery management system self-wakes up and monitors that the battery state has low battery power or that the battery system has a fault against the safety state, the battery management system informs the user of the current battery system state through the 4G network, the BMS sends the battery system state to the cloud end through the CAN4G-BOX, the cloud end sends the battery system state to the mobile phone terminal of the user, and the driver charges or maintains the vehicle after receiving the alarm.
An embodiment of a second aspect of the present invention provides a non-transitory computer storage medium having a computer program stored thereon, wherein the computer program when executed implements the method for self-wake-up diagnosis of a battery management system provided by the above embodiment.
An embodiment of the third aspect of the present invention provides a device for self-wake-up diagnosis of a battery management system, as shown in fig. 3, where the device 1 for self-wake-up diagnosis of a battery management system according to the embodiment of the present invention includes a starting module 11 and a wake-up module 12.
Wherein the starting module 11 is configured to start an automatic wake-up mode in response to a power-down instruction. The wake-up module 12 is configured to periodically wake up the battery management system to monitor the battery status in the automatic wake-up mode, wherein the next wake-up time interval is determined according to the current battery status monitoring result and the current wake-up time interval.
According to the device 1 for self-wake-up diagnosis of the battery management system, when the vehicle is in the power-down state, the automatic wake-up mode is started through the starting module 11, and the battery management system is periodically wake-up through the wake-up module 12 to monitor the battery state, so that the function of automatically waking up the battery management system to monitor the battery system state is realized, the battery is prevented from being in a runaway state, and the next wake-up time interval is determined according to the current battery state monitoring result and the current wake-up time interval when each time of automatic wake-up, so that when the battery system is in a normal state, the time for waking up the battery management system can be continuously prolonged, the wake-up frequency of the battery management system is reduced, and the wake-up power consumption is reduced.
The fourth aspect of the present invention provides a battery management system, and as shown in fig. 4, a battery management system 10 of the embodiment of the present invention includes a timing unit 2, a system base chip 3, and a control unit 4.
Wherein the timing unit 2 transmits an interrupt signal when the timing overflows, the system base chip 3 transmits a power supply signal in response to the interrupt signal, and the control unit 4 powers up in response to the power supply signal and performs the method of self-wake-up diagnosis of the battery management system provided by the above embodiment.
Specifically, in response to the power-down instruction, the battery management system triggers an automatic wake-up mode, the control unit 4 writes the first wake-up time interval into the timing unit 2 through the SPI, determines that the sleep time of the battery management system 10 reaches the first wake-up time interval, that is, when the timing unit 2 overflows at regular time, the timing unit 2 generates an interrupt signal to the system base chip 3, and then the system base chip 3 outputs a power supply signal to the VDD pin of the control unit 4 again, the control unit 4 monitors the state of the battery after power-up, and meanwhile, the control unit 4 calculates the second wake-up time interval according to the first battery state monitoring result and the first wake-up time interval, writes the second wake-up time interval into the timing unit 2 until the next wake-up time interval, and further writes the third wake-up time interval, so as to circulate until the user exits the automatic wake-up mode when starting the vehicle again.
According to the battery management system 10 of the embodiment of the present invention, by the control unit 4 adopting the method for self-wake-up diagnosis of the battery management system provided by the embodiment, when the vehicle is in the power-down state, the timing unit 2 sends an interrupt signal to the system base chip 3 and the system base chip 3 sends a power supply signal to the control unit 4 when the vehicle overflows at regular time, and the control unit 4 controls the battery management system 10 to wake up and monitor the battery state, so that the function of automatically waking up and monitoring the battery system state of the battery management system 10 is realized, the battery is prevented from being in an out-of-control state, and the wake-up power consumption is reduced.
A fourth aspect of the invention provides a vehicle, as shown in fig. 5, in which the vehicle 20 of the embodiment of the invention includes the battery system 5 and the battery management system 10 provided in the above embodiment, and the battery management system 10 is used to periodically wake up and diagnose the state of the battery system 5.
According to the vehicle 20 of the embodiment of the invention, by adopting the battery management system 10 provided in the above embodiment to monitor the state of the battery system 10, when the vehicle is parked for a long time, the sleep time of the battery management system 10 at each wake-up time can be adaptively adjusted, and the wake-up power consumption is reduced.
In some embodiments, as shown in fig. 5, the vehicle 20 further includes a communication device 6 coupled to the battery management system 10 for transmitting the monitoring reminder information. For example, when the battery management system is self-awakening to monitor, and the battery power is low or the battery system has a fault against the safety state, a low-power warning can be sent to the user through the communication device 6 in a 4G network manner or the user can be reminded to charge or repair the vehicle.
In the description of this specification, any process or method description in a flowchart or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing logical functions or steps of the process, and in which the scope of the preferred embodiments of the present invention include additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium upon which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or part of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the program when executed includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented as software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (7)
1. A method of self-wakeup diagnosis for a battery management system, comprising:
The battery management system responds to the power-down instruction and starts an automatic wake-up mode;
in the automatic wake mode, the battery management system periodically self-wakes up and monitors battery status;
determining a next wake-up time interval according to the battery state monitoring result and the wake-up time interval;
The method further comprises the steps of:
Acquiring driving rule information;
Determining power-on time according to the driving rule information;
the battery management system wakes up and monitors the battery state by itself at a preset time before the power-on time;
the next wake-up time interval is determined according to the current battery monitoring result and the current wake-up time interval, and the method comprises the following steps:
The battery management system determines that the current sleep time reaches the current wake-up time interval, self-wakes up and monitors the battery state, and obtains the current battery state monitoring result;
determining a battery state risk level according to the battery state monitoring result;
Determining the next wake-up time interval according to the wake-up time interval and the battery state risk level;
Wherein the kth wake-up time interval and the kth+1th wake-up time interval satisfy the following formula:
T(k+1)＝f(n)*T(k)；
Wherein k is the number of self-awakening awakenings, n is a battery state risk level coefficient, f (n) is a level correction function, T (k) is the kth awakening time interval, and T (k+1) is the kth+1th awakening time interval.
2. The method of battery management system self-wakeup diagnosis of claim 1, further comprising:
and according to the battery state monitoring result, determining that the battery electric quantity is lower than an electric quantity threshold value or the battery system has faults, and sending monitoring reminding information.
3. A non-transitory computer storage medium having stored thereon a computer program, wherein the computer program when executed implements the method of self-wake diagnosis of a battery management system according to any of claims 1-2.
4. An apparatus for self-wakeup diagnosis of a battery management system, comprising:
the starting module is configured to respond to the power-down instruction and start an automatic wake-up mode;
The wake-up module is configured to periodically wake up the battery management system to monitor the battery state in an automatic wake-up mode, wherein the next wake-up time interval is determined according to the battery state monitoring result and the wake-up time interval, driving rule information is acquired, power-up time is determined according to the driving rule information, time is preset before the power-up time, and the battery management system self-wakes up and monitors the battery state;
the next wake-up time interval is determined according to the current battery monitoring result and the current wake-up time interval, and the method comprises the following steps:
The battery management system determines that the current sleep time reaches the current wake-up time interval, self-wakes up and monitors the battery state, and obtains the current battery state monitoring result;
determining a battery state risk level according to the battery state monitoring result;
Determining the next wake-up time interval according to the wake-up time interval and the battery state risk level;
Wherein the kth wake-up time interval and the kth+1th wake-up time interval satisfy the following formula:
T(k+1)＝f(n)*T(k)；
Wherein k is the number of self-awakening awakenings, n is a battery state risk level coefficient, f (n) is a level correction function, T (k) is the kth awakening time interval, and T (k+1) is the kth+1th awakening time interval.
5. A battery management system, comprising:
the timing unit sends an interrupt signal when the timing unit overflows at fixed time;
A system base chip for responding to the interrupt signal to send out a power supply signal;
a control unit, which is powered up in response to the power supply signal and performs the method of self-wake-up diagnosis of the battery management system according to any one of claims 1-2.
6. A vehicle, characterized by comprising:
A battery system;
The battery management system of claim 5, for periodically waking up and diagnosing a state of the battery system.
7. The vehicle of claim 6, characterized in that the vehicle further comprises:
and the communication device is connected with the battery management system and is used for sending monitoring reminding information.
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| CN202010442677.6A CN113696780B (en) | 2020-05-22 | 2020-05-22 | Battery management system self-wake-up diagnosis method, battery management system and vehicle |
| PCT/CN2021/093775 WO2021233219A1 (en) | 2020-05-22 | 2021-05-14 | Automatic wake-up and diagnosis method for battery management system, battery management system, and vehicle |
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| CN113928179A (en) * | 2021-11-30 | 2022-01-14 | 重庆长安新能源汽车科技有限公司 | Power battery monitoring method in whole vehicle standing state |
| CN114368396A (en) * | 2022-01-27 | 2022-04-19 | 东风商用车有限公司 | Automatic driving system management method and device, storage medium and electronic equipment |
| CN114546509B (en) * | 2022-02-28 | 2023-10-10 | 石家庄通合电子科技股份有限公司 | Method, device, terminal and storage medium for realizing self-wake-up function |
| CN115179879B (en) * | 2022-07-25 | 2024-04-09 | 小米汽车科技有限公司 | Vehicle self-wake-up method and device, vehicle and storage medium |
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| WO2021233219A1 (en) | 2021-11-25 |
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