CN113608138B - Storage battery power shortage risk monitoring method, electronic equipment and storage medium - Google Patents
Storage battery power shortage risk monitoring method, electronic equipment and storage medium Download PDFInfo
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- CN113608138B CN113608138B CN202110872267.XA CN202110872267A CN113608138B CN 113608138 B CN113608138 B CN 113608138B CN 202110872267 A CN202110872267 A CN 202110872267A CN 113608138 B CN113608138 B CN 113608138B
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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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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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
- G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
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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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Abstract
The invention discloses a storage battery power shortage risk monitoring method, electronic equipment and a storage medium, wherein the method comprises the following steps: when the whole vehicle is dormant, periodically waking up the vehicle for a period of wake-up time, and acquiring the voltage of a vehicle storage battery and the battery environment temperature in the wake-up time; determining a corresponding state of charge based on a voltage of the battery during the wake-up time and a battery ambient temperature; and if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation. According to the intelligent monitoring system and the intelligent monitoring method, the storage battery is intelligently monitored, the service life performance risk of the storage battery is early warned, the problem that the whole vehicle cannot be started and the like is avoided, the user vehicle experience is improved, and the service life of the battery is prolonged. And finally, monitoring the full value chain of the battery, so that the quality of the full life cycle of the battery is improved.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a storage battery power shortage risk monitoring method, electronic equipment and a storage medium.
Background
The storage battery provides electric energy for starting the automobile and running some key electric equipment. Because of the importance of batteries, the prior art provides techniques for monitoring batteries.
However, in the battery monitoring of the related art, only after the entire vehicle is powered on, the engine control module (Engine Control Module, ECM) or the cabin power distribution management module (underwood SWITCH MANAGEMENT, USM) monitors the State of Charge (SOC) and the battery function State (State Of Function, SOF) to determine functions such as the lift control and start/stop, and does not directly inform the customer of the battery State.
However, the storage battery has power consumption in each link after the storage battery is off-line from the whole vehicle, and the storage battery power is not reasonably managed in the prior stock period, so that the battery power is insufficient or the durability of the battery is damaged when the vehicle is delivered to a customer, the service life of the customer battery is influenced, and further warranty and complaints are caused.
Meanwhile, in the process of using the vehicle by a customer, the condition that the battery cannot start the engine due to various reasons cannot be predicted in advance and the starting capability of the battery is recovered, so that the experience of using the vehicle by the customer is affected.
In addition, the SOC precision is lower, and the current method only uses voltage to judge, and the interpretation precision is low.
Disclosure of Invention
Based on this, it is necessary to provide a battery power shortage risk monitoring method, an electronic device and a storage medium, aiming at the technical problems existing in the battery monitoring in the prior art.
The invention provides a storage battery power shortage risk monitoring method, which comprises the following steps:
When the whole vehicle is dormant, periodically waking up the vehicle for a period of wake-up time, and acquiring the voltage of a vehicle storage battery and the battery environment temperature in the wake-up time;
determining a corresponding state of charge based on a voltage of the battery during the wake-up time and a battery ambient temperature;
and if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation.
Further, the determining the corresponding effective charge state based on the voltage of the storage battery in the wake-up time and the battery environment temperature specifically includes:
Determining a voltage value to be compensated based on the battery ambient temperature;
based on the voltage of the storage battery in the wake-up time and the voltage value to be compensated, opening the circuit after compensation;
a corresponding state of charge is determined based on the compensated open circuit voltage and the battery ambient temperature.
Further, the method for compensating the open circuit voltage based on the voltage of the storage battery in the wake-up time and the voltage value to be compensated specifically includes:
Taking the lowest voltage of the storage battery in the awakening time as the minimum voltage of the awakening stage;
And based on the minimum voltage in the wake-up stage and the voltage value to be compensated, opening the circuit after compensation.
Further, the determining the voltage value to be compensated based on the battery ambient temperature specifically includes:
Acquiring a temperature compensation value curve corresponding to an after-market stage of the vehicle, the after-market stage comprising: an after-sales phase, a store phase, and a factory store phase;
And taking the voltage compensation value corresponding to the battery ambient temperature in the temperature compensation value curve as a voltage value to be compensated.
Still further:
at the same temperature, the temperature compensation value corresponding to the temperature compensation value curve in the after-sales stage is more than or equal to the temperature compensation value corresponding to the temperature compensation value curve in the store stage of the private store;
at the same temperature, the temperature compensation value corresponding to the temperature compensation value curve in the store stage of the store is larger than or equal to the temperature compensation value corresponding to the temperature compensation value curve in the store stage of the factory.
Further, if the effective state of charge is less than a state of charge threshold, the battery warning operation is executed, which specifically includes:
acquiring a state of charge threshold corresponding to a pre-sale and post-sale phase of the vehicle;
And if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation.
Still further:
the state of charge threshold corresponding to the after-sale stage is smaller than or equal to the state of charge threshold corresponding to the store stage of the private store;
And the state of charge threshold corresponding to the store storage stage of the private store is smaller than or equal to the state of charge threshold corresponding to the store storage stage of the factory.
Further, the method further comprises the following steps:
in response to a cold start of the vehicle, determining a lowest voltage of the storage battery during the cold start as a cold start stage lowest voltage;
And if the lowest voltage in the cold start stage is lower than a preset voltage threshold value, judging that the storage battery is deteriorated.
Still further, the determining the corresponding state of charge based on the compensated open circuit voltage and the battery ambient temperature specifically includes:
acquiring an open-circuit voltage state-of-charge relationship curve corresponding to the battery ambient temperature;
If the storage battery is not judged to be deteriorated, taking the state of charge corresponding to the compensated open-circuit voltage in the open-circuit voltage state of charge relation curve as an effective state of charge;
And if the storage battery is judged to be deteriorated, taking the state of charge corresponding to the compensated open-circuit voltage in the open-circuit voltage state of charge relation curve as a state of charge to be calculated, and calculating the effective state of charge as the state of charge to be calculated minus a deteriorated state of charge compensation value, wherein the deteriorated state of charge compensation value is larger than 0.
Further, if the effective state of charge is less than a state of charge threshold, the battery warning operation is executed, which specifically includes:
Acquiring a state of charge threshold;
If the storage battery is judged to be deteriorated, the state of charge threshold value is increased by a deteriorated state of charge compensation value;
And if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation.
Still further, still include: and if the storage battery is judged to be deteriorated, determining a deteriorated state according to the lowest voltage in the cold start stage, and determining a deteriorated charge state compensation value corresponding to the deteriorated state.
Further, in response to a cold start of the vehicle, determining a lowest voltage of the battery during the cold start as a lowest voltage of the cold start phase specifically includes:
Starting to capture a voltage drop waveform of the storage battery in response to a starter relay closing signal;
stopping capturing the voltage drop waveform of the storage battery in response to the starter relay closing signal being opened;
The lowest voltage in the captured voltage drop waveform of the storage battery is taken as the lowest voltage in the cold start stage.
Further, when the whole vehicle is in dormancy, periodically waking up the vehicle for a period of wake-up time, and acquiring the voltage of the vehicle storage battery and the battery environment temperature in the wake-up time, specifically comprising:
When the whole vehicle is in dormancy, periodically judging whether a wake-up condition is met, wherein the wake-up condition is as follows: the locking time of the vehicle exceeds the first time, and the vehicle is not awakened in the second time before the current time;
If the wake-up condition is met, waking up the vehicle for a period of wake-up time, and acquiring the voltage of the vehicle storage battery and the battery environment temperature in the wake-up time.
The present invention provides an electronic device including:
At least one processor; and
A memory communicatively coupled to at least one of the processors; wherein,
The memory stores instructions executable by at least one of the processors to enable the at least one processor to perform a battery loss risk monitoring method as previously described.
The present invention provides a storage medium storing computer instructions that, when executed by a computer, are operable to perform all the steps of a battery loss of power risk monitoring method as described above.
The invention provides a storage battery power shortage risk monitoring system which comprises electronic equipment and a server, wherein the electronic equipment is connected with the server through a network.
According to the intelligent monitoring system and the intelligent monitoring method, the storage battery is intelligently monitored, the service life performance risk of the storage battery is early warned, the problem that the whole vehicle cannot be started and the like is avoided, the user vehicle experience is improved, and the service life of the battery is prolonged. And finally, monitoring the full value chain of the battery, so that the quality of the full life cycle of the battery is improved.
Drawings
FIG. 1 is a flow chart of a method for monitoring risk of battery power loss according to the present invention;
FIG. 2 is a flowchart illustrating a method for monitoring risk of battery power loss according to an embodiment of the present invention;
FIG. 3 is a schematic system diagram of a preferred embodiment of the present invention;
FIG. 4 is a flowchart of a method for monitoring risk of battery power loss according to a preferred embodiment of the present invention;
FIG. 5 is a data background battery power loss algorithm according to the preferred embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of an electronic device according to the present invention.
Detailed Description
The invention will now be described in further detail with reference to the drawings and to specific examples.
Example 1
Fig. 1 is a working flow chart of a method for monitoring risk of battery power shortage, comprising:
Step S101, periodically waking up a vehicle for a period of wake-up time when the whole vehicle is in sleep, and acquiring the voltage of a vehicle storage battery and the battery environment temperature in the wake-up time;
Step S102, determining a corresponding effective charge state based on the voltage of the storage battery in the wake-up time and the ambient temperature of the battery;
Step S103, if the effective charge state is smaller than the charge state threshold value, a storage battery alarming operation is executed.
In particular, the present invention may be applied to a server communicatively coupled to a vehicle.
Under the condition of the whole vehicle dormancy, after the background judges that the storage battery is in a stable state, the step S101 is triggered, the storage battery voltage is periodically acquired through a remote information control unit (TELEMATICS CONTROL UNIT, TCU) of a remote awakening vehicle, meanwhile, the storage battery environment temperature is acquired through a controller area network (Controller Area Network), and the data are uploaded to the background through the TCU. The background server executes step S102 to determine the corresponding state of charge based on the voltage of the battery during the wake-up time and the battery ambient temperature.
In one embodiment, the corresponding voltage value to be compensated is obtained according to a temperature compensation value curve. In the temperature compensation value curve, there are corresponding compensation voltage values for different temperature values. The specific corresponding relation between the temperature and the compensation voltage value can be determined through calibration. And then the voltage of the storage battery in the wake-up time is compensated by adopting a compensation voltage value. Specifically, an average value, a weighted value, or a voltage value of the storage battery in the wake-up time under a specific condition may be added as an open-circuit voltage to the voltage value to be compensated, so as to obtain the compensated open-circuit voltage. The state of charge corresponding to the compensated open circuit voltage (Open Circuit Voltage, OCV) is then calculated. For example, an OCV-SOC curve is acquired, and then an SOC value corresponding to the OCV is determined as the state of charge. The OCV-SOC curve may also correspond to battery ambient temperature. I.e., different battery ambient temperature ranges correspond to different OCV-SOC curves.
In another embodiment, the open circuit voltage of the battery is determined based on the voltage of the battery during the wake-up time, for example, an average value, a weighted value, or a voltage value under a specific condition of the voltage of the battery during the wake-up time is taken as the open circuit voltage of the battery. And then acquiring an OCV-SOC curve corresponding to the battery environment temperature, and determining an SOC value corresponding to the OCV as a valid charge state based on the OCV-SOC curve.
Finally, if the effective state of charge is less than the state of charge threshold, step S103 is triggered, and a battery warning operation is performed. The battery warning operation can be to push information to the terminal user through the background.
According to the intelligent monitoring system and the intelligent monitoring method, the storage battery is intelligently monitored, the service life performance risk of the storage battery is early warned, the problem that the whole vehicle cannot be started and the like is avoided, the user vehicle experience is improved, and the service life of the battery is prolonged.
Example two
Fig. 2 is a flowchart of a method for monitoring risk of battery power loss according to an embodiment of the present invention, including:
in step S201, in response to a cold start of the vehicle, the lowest voltage of the battery during the cold start is determined as the lowest voltage in the cold start stage.
In one embodiment, the determining, in response to the cold start of the vehicle, the lowest voltage of the storage battery during the cold start as the lowest voltage of the cold start stage specifically includes:
Starting to capture a voltage drop waveform of the storage battery in response to a starter relay closing signal;
stopping capturing the voltage drop waveform of the storage battery in response to the starter relay closing signal being opened;
The lowest voltage in the captured voltage drop waveform of the storage battery is taken as the lowest voltage in the cold start stage.
Step S202, if the lowest voltage in the cold start stage is lower than a preset voltage threshold, judging that the storage battery is deteriorated;
step S203, periodically judging whether a wake-up condition is met when the whole vehicle is in sleep, wherein the wake-up condition is as follows: the locking time of the vehicle exceeds the first time, and the vehicle is not awakened in the second time before the current time;
step S204, if the wake-up condition is met, waking up the vehicle for a period of wake-up time, and obtaining the voltage of the vehicle storage battery and the battery environment temperature in the wake-up time;
step S205, determining a voltage value to be compensated based on the battery environment temperature;
in one embodiment, the determining the voltage value to be compensated based on the battery ambient temperature specifically includes:
Acquiring a temperature compensation value curve corresponding to an after-market stage of the vehicle, the after-market stage comprising: the temperature compensation value corresponding to the temperature compensation value curve of the after-sales stage is larger than or equal to the temperature compensation value corresponding to the temperature compensation value curve of the store stage at the same temperature, and the temperature compensation value corresponding to the temperature compensation value curve of the store stage is larger than or equal to the temperature compensation value corresponding to the temperature compensation value curve of the store stage at the same temperature;
And taking the voltage compensation value corresponding to the battery ambient temperature in the temperature compensation value curve as a voltage value to be compensated.
Step S206, based on the voltage of the storage battery in the wake-up time and the voltage value to be compensated, opening the circuit after compensation;
In one embodiment, the method specifically includes:
Taking the lowest voltage of the storage battery in the awakening time as the minimum voltage of the awakening stage;
And based on the minimum voltage in the wake-up stage and the voltage value to be compensated, opening the circuit after compensation.
Step S207, determining a corresponding state of charge based on the compensated open circuit voltage and the battery ambient temperature.
In one embodiment, determining the corresponding state of charge based on the compensated open circuit voltage and the battery ambient temperature specifically includes:
determining an open-circuit voltage state-of-charge relationship curve corresponding to the battery ambient temperature;
And determining the state of charge corresponding to the compensated open-circuit voltage from the open-circuit voltage state of charge relation curve as an effective state of charge.
Step S208, acquiring a state of charge threshold corresponding to a pre-sale and post-sale stage of the vehicle;
and step S209, if the effective state of charge is smaller than the state of charge threshold, executing a storage battery alarm operation, wherein the state of charge threshold corresponding to the after-sale stage is smaller than or equal to the state of charge threshold corresponding to the store stage of the private store, and the state of charge threshold corresponding to the store stage of the private store is smaller than or equal to the state of charge threshold corresponding to the store stage of the factory.
Specifically, in each cold start process, step S201 is executed, the voltage drop waveform of the storage battery is captured by the electronic control unit (Electronic Control Unit, ECU), the minimum voltage VBmin is obtained, and the minimum voltage VBmin is uploaded to the background server. Then, step S202 is performed, and the server determines the battery degradation state flag according to VBmin. The degradation flag may be compensated by a calculation that changes the state of charge of the payload, or the state of charge threshold may be changed based on the degradation flag to achieve compensation.
Under the condition of the whole vehicle dormancy, after the background judges that the storage battery is in a stable state, the step S203 is triggered, whether the locking time of the vehicle exceeds the first time is periodically judged, and the vehicle is not awakened in the second time before the current time. If so, step S204 is performed, the TCU acquires the battery voltage through a remote information control unit (TELEMATICS CONTROL UNIT, TCU) of the remotely-awakened vehicle, and meanwhile acquires the battery environment temperature through a controller area network (Controller Area Network), and the data are uploaded to the background through the TCU. Then, step S205 is performed to determine a voltage value to be compensated based on the battery ambient temperature. Specifically, a temperature compensation value curve corresponding to a pre-sale and after-sale stage of the vehicle is obtained, and a voltage compensation value corresponding to the battery environment temperature in the temperature compensation value curve is taken as a voltage value to be compensated. The embodiment considers the monitoring of the full value chain, and can also monitor in a warehouse. The scenes of pre-sale, after-sale, manufacture and the like can be applied. In the obtained temperature compensation value curve, the voltage compensation value corresponding to the battery ambient temperature is used as the voltage value to be compensated. Step S206 is then executed to obtain the compensated open circuit voltage OCV based on the voltage of the battery during the wake-up time and the voltage value offset to be compensated. In one embodiment, the lowest voltage of the battery in the wake-up time is taken as a wake-up phase lowest voltage VBATmin, and the compensated open circuit voltage OCV is obtained based on the wake-up phase lowest voltage VBATmin and the voltage value to be compensated offset. And step S207 is performed to determine a corresponding state of charge based on the compensated open circuit voltage and the battery ambient temperature. In one embodiment, the effective SOC value corresponding to the OCV is determined by acquiring an OCV-SOC curve corresponding to the battery ambient temperature. Specifically, a temperature range of the battery ambient temperature is determined, and an OCV-SOC curve corresponding to the temperature range is acquired. For example [ -25 ℃,0 ℃) as a temperature interval, [0 ℃,25 ℃) as a temperature interval, [25 ℃,40 ℃) as a temperature interval. And acquiring an OCV-SOC curve corresponding to a temperature interval where the battery ambient temperature is located.
Finally, step S208 and step S209 are executed for comparison. Wherein step S208 is for comparing the state of charge threshold value to be determined according to the pre-sale after-sale phase of the vehicle.
According to the intelligent monitoring storage battery, the storage battery life performance risk is early warned, the problem that the whole vehicle cannot be started and the like is avoided, the user vehicle experience is improved, and the service life of the battery is prolonged. And finally, monitoring the full value chain of the battery, so that the quality of the full life cycle of the battery is improved.
Specifically, the degradation flag may be compensated for by a calculation that changes the state of charge of the payload.
In one embodiment, the determining the corresponding effective charge state based on the compensated open-circuit voltage and the battery ambient temperature specifically includes:
acquiring an open-circuit voltage state-of-charge relationship curve corresponding to the battery ambient temperature;
If the storage battery is not judged to be deteriorated, taking the state of charge corresponding to the compensated open-circuit voltage in the open-circuit voltage state of charge relation curve as an effective state of charge;
And if the storage battery is judged to be deteriorated, taking the state of charge corresponding to the compensated open-circuit voltage in the open-circuit voltage state of charge relation curve as a state of charge to be calculated, and calculating the effective state of charge as the state of charge to be calculated minus a deteriorated state of charge compensation value, wherein the deteriorated state of charge compensation value is larger than 0.
The state of charge threshold may also be changed according to the degradation flag to achieve compensation.
In one embodiment, if the effective state of charge is less than a state of charge threshold, the battery warning operation is executed, which specifically includes:
Acquiring a state of charge threshold;
If the storage battery is judged to be deteriorated, the state of charge threshold value is increased by a deteriorated state of charge compensation value;
And if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation.
In one embodiment, the method further comprises: and if the storage battery is judged to be deteriorated, determining a deteriorated state according to the lowest voltage in the cold start stage, and determining a deteriorated charge state compensation value corresponding to the deteriorated state.
A system schematic diagram of a preferred embodiment of the present invention is shown in fig. 3, comprising:
During cold start, the smart KEY controller (INTELLIGENT KEY, I-KEY) 30 starts, acquires the voltage u_bat of the battery 31 in the time between the rising edge and the falling edge of the starter relay closing signal StartRelyOn, captures the voltage drop waveform of the battery by the ECU 32, calculates the voltage minimum VBmin between the starter relay closing signals, and uploads the voltage minimum VBmin to the internet of vehicles backend server 34 through the TCU 33.
Under the condition of the whole vehicle dormancy, the background server 34 judges that the storage battery is in a stable state, and then wakes up the TCU 33 remotely, the TCU 33 collects the voltage VBat of the storage battery 31, meanwhile wakes up the vehicle body control module (Body Control Module, BCM) 35, the BCM 35 returns the ambient temperature of the storage battery to the TCU 33 through the CAN through the temperature sensor (T-sensor) 36, the data are uploaded to the background 34 through the TCU, and the vehicle state is compared to judge the threshold value of the power shortage so as to judge whether the power shortage risk exists.
Fig. 4 is a flowchart of a method for monitoring risk of battery power loss according to a preferred embodiment of the present invention, including:
At cold start:
Step S401, ECM calculates VBmin and forwards to TCU uploading background through Gateway (GW);
step S402, the background judges, if VBmin < the calibration VBmin, judges degradation, sets bat_dmg_flag=1, otherwise, sets bat_dmg_flag=0;
when the whole vehicle is dormant:
step S403, periodically requesting data packets for all vehicles;
Step S404, if the locking time is more than T1 hour, executing step S405, otherwise, receiving;
Step S405, if the vehicle is remotely awakened for the previous T2 hours, then it ends, otherwise step S406 is performed, preferably T1 is greater than T2, for example T1 is 8 hours, T2 is half an hour;
Step S406, requesting data, wherein the TCU wakes up the BCM in response to the background request, and after the BCM obtains the temperature, the TCU sends a data packet comprising the voltage VBat and the temperature in the wake-up time of the storage battery to the background;
in step S407, the background evaluates whether the battery is deficient, and if so, the mobile phone APP notifies the rut battery of the risk of power deficiency, suggesting that the engine be started for 10 minutes for charging.
Fig. 5 shows a data background battery power-loss algorithm according to a preferred embodiment of the present invention, including:
step S501, calculating a minimum value of the obtained voltage VBat in the wake-up time of the storage battery to obtain a minimum voltage VBATmin in the wake-up stage;
step S502, determining a temperature compensation value curve based on a vehicle stage, and determining a voltage value offset to be compensated based on the obtained temperature;
Step S503, obtaining the compensated open circuit voltage based on the minimum voltage VBATmin and the voltage value offset to be compensated in the wake-up stage;
Step S504, obtaining an OCV-SOC curve corresponding to the temperature, and calculating the state of charge corresponding to the compensated open-circuit voltage;
Step S505, judging whether the storage battery is deteriorated or not by comparing the lowest voltage VBmin of the cold start stage at the cold start with a voltage threshold;
Step S506, if the storage battery is degraded, calculating the effective charge state as the charge state to be calculated minus a degraded charge state compensation value, and if the storage battery is not degraded, calculating the effective charge state as the charge state to be calculated;
step S507, selecting a corresponding SOC threshold value based on the vehicle stage;
Step S508, if the state of charge is less than the SOC threshold, an alarm is given.
Fig. 6 is a schematic diagram of a hardware structure of an electronic device according to the present invention, including:
at least one processor 601; and
A memory 602 communicatively coupled to at least one of the processors 601; wherein,
The memory 602 stores instructions executable by at least one of the processors to enable the at least one processor to perform a battery power loss risk monitoring method as previously described.
One processor 601 is illustrated in fig. 6.
The electronic device may further include: an input device 603 and a display device 604.
The processor 601, memory 602, input device 603 and display device 604 may be connected by a bus or other means, the connection being illustrated by a bus.
The memory 602 is used as a non-volatile computer readable storage medium, and may be used to store a non-volatile software program, a non-volatile computer executable program, and modules, such as program instructions/modules corresponding to the battery power loss risk monitoring method in the embodiment of the present application, for example, a method flow shown in fig. 1. The processor 601 executes various functional applications and data processing by running non-volatile software programs, instructions and modules stored in the memory 602, i.e., implements the battery power loss risk monitoring method in the above-described embodiments.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the battery power loss risk monitoring method, or the like. In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 602 optionally includes memory remotely located relative to processor 601, which may be connected via a network to a device performing the battery power loss risk monitoring method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 603 may receive input user clicks and generate signal inputs related to user settings and function control of the battery power loss risk monitoring method. The display 604 may include a display device such as a display screen.
The battery power loss risk monitoring method of any of the method embodiments described above is performed when the one or more modules are stored in the memory 602 and when executed by the one or more processors 601.
According to the intelligent monitoring system and the intelligent monitoring method, the storage battery is intelligently monitored, the service life performance risk of the storage battery is early warned, the problem that the whole vehicle cannot be started and the like is avoided, the user vehicle experience is improved, and the service life of the battery is prolonged. And finally, monitoring the full value chain of the battery, so that the quality of the full life cycle of the battery is improved.
An embodiment of the invention provides a storage medium storing computer instructions that, when executed by a computer, perform all the steps of a battery loss of power risk monitoring method as described above.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (12)
1. A method for monitoring risk of battery power loss, comprising:
When the whole vehicle is dormant, periodically waking up the vehicle for a period of wake-up time, and acquiring the voltage of a vehicle storage battery and the battery environment temperature in the wake-up time;
determining a corresponding state of charge based on a voltage of the battery during the wake-up time and a battery ambient temperature;
if the effective charge state is smaller than a charge state threshold value, executing a storage battery alarm operation;
the determining the corresponding effective charge state based on the voltage of the storage battery in the wake-up time and the battery environment temperature specifically comprises the following steps:
Determining a voltage value to be compensated based on the battery ambient temperature;
based on the voltage of the storage battery in the wake-up time and the voltage value to be compensated, opening the circuit after compensation;
Determining a corresponding state of charge based on the compensated open circuit voltage and the battery ambient temperature;
the method for determining the voltage value to be compensated based on the battery environment temperature specifically comprises the following steps:
Acquiring a temperature compensation value curve corresponding to an after-market stage of the vehicle, the after-market stage comprising: an after-sales phase, a store phase, and a factory store phase;
taking a voltage compensation value corresponding to the battery ambient temperature in the temperature compensation value curve as a voltage value to be compensated;
at the same temperature, the temperature compensation value corresponding to the temperature compensation value curve in the after-sales stage is more than or equal to the temperature compensation value corresponding to the temperature compensation value curve in the store stage of the private store;
at the same temperature, the temperature compensation value corresponding to the temperature compensation value curve in the store stage of the store is larger than or equal to the temperature compensation value corresponding to the temperature compensation value curve in the store stage of the factory.
2. The method for monitoring risk of battery power shortage according to claim 1, wherein the obtaining the compensated open-circuit voltage based on the voltage of the battery in the wake-up time and the voltage value to be compensated specifically includes:
Taking the lowest voltage of the storage battery in the awakening time as the minimum voltage of the awakening stage;
And based on the minimum voltage in the wake-up stage and the voltage value to be compensated, opening the circuit after compensation.
3. The method for monitoring risk of battery deficiency according to claim 1, wherein if the effective state of charge is smaller than a state of charge threshold, performing a battery warning operation, specifically comprising:
acquiring a state of charge threshold corresponding to a pre-sale and post-sale phase of the vehicle;
And if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation.
4. A battery power loss risk monitoring method according to claim 3, characterized in that:
the state of charge threshold corresponding to the after-sale stage is smaller than or equal to the state of charge threshold corresponding to the store stage of the private store;
And the state of charge threshold corresponding to the store storage stage of the private store is smaller than or equal to the state of charge threshold corresponding to the store storage stage of the factory.
5. The battery power loss risk monitoring method according to claim 1, further comprising:
in response to a cold start of the vehicle, determining a lowest voltage of the storage battery during the cold start as a cold start stage lowest voltage;
And if the lowest voltage in the cold start stage is lower than a preset voltage threshold value, judging that the storage battery is deteriorated.
6. The battery power loss risk monitoring method according to claim 5, wherein the determining the corresponding state of charge based on the compensated open circuit voltage and the battery ambient temperature specifically comprises:
acquiring an open-circuit voltage state-of-charge relationship curve corresponding to the battery ambient temperature;
If the storage battery is not judged to be deteriorated, taking the state of charge corresponding to the compensated open-circuit voltage in the open-circuit voltage state of charge relation curve as an effective state of charge;
And if the storage battery is judged to be deteriorated, taking the state of charge corresponding to the compensated open-circuit voltage in the open-circuit voltage state of charge relation curve as a state of charge to be calculated, and calculating the effective state of charge as the state of charge to be calculated minus a deteriorated state of charge compensation value, wherein the deteriorated state of charge compensation value is larger than 0.
7. The method for monitoring risk of battery deficiency according to claim 5, wherein if the effective state of charge is less than a state of charge threshold, performing a battery warning operation, specifically comprising:
Acquiring a state of charge threshold;
If the storage battery is judged to be deteriorated, the state of charge threshold value is increased by a deteriorated state of charge compensation value;
And if the effective charge state is smaller than the charge state threshold value, executing a storage battery alarming operation.
8. The battery power shortage risk monitoring method according to claim 6 or 7, characterized by further comprising: and if the storage battery is judged to be deteriorated, determining a deteriorated state according to the lowest voltage in the cold start stage, and determining a deteriorated charge state compensation value corresponding to the deteriorated state.
9. The battery power loss risk monitoring method according to claim 5, wherein the determining, in response to a cold start of the vehicle, a lowest voltage of the battery during the cold start as a cold start stage lowest voltage specifically includes:
Starting to capture a voltage drop waveform of the storage battery in response to a starter relay closing signal;
stopping capturing the voltage drop waveform of the storage battery in response to the starter relay closing signal being opened;
The lowest voltage in the captured voltage drop waveform of the storage battery is taken as the lowest voltage in the cold start stage.
10. The method for monitoring risk of battery power shortage according to claim 1, wherein when the whole vehicle is dormant, periodically waking up the vehicle for a wake-up time, and obtaining the voltage of the vehicle battery and the battery environment temperature in the wake-up time, specifically comprising:
When the whole vehicle is in dormancy, periodically judging whether a wake-up condition is met, wherein the wake-up condition is as follows: the locking time of the vehicle exceeds the first time, and the vehicle is not awakened in the second time before the current time;
If the wake-up condition is met, waking up the vehicle for a period of wake-up time, and acquiring the voltage of the vehicle storage battery and the battery environment temperature in the wake-up time.
11. An electronic device, comprising:
At least one processor; and
A memory communicatively coupled to at least one of the processors; wherein,
The memory stores instructions executable by at least one of the processors to enable the at least one of the processors to perform the battery power loss risk monitoring method of any one of claims 1 to 10.
12. A storage medium storing computer instructions which, when executed by a computer, are adapted to carry out all the steps of the battery loss risk monitoring method according to any one of claims 1 to 10.
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CN114844769A (en) * | 2022-04-29 | 2022-08-02 | 重庆长安汽车股份有限公司 | Vehicle feed risk monitoring method |
CN115407200B (en) * | 2022-08-30 | 2024-11-08 | 重庆长安汽车股份有限公司 | Method, system, equipment and storage medium for monitoring state of automobile storage battery |
CN115951249B (en) * | 2023-02-16 | 2023-08-18 | 航科院中宇(北京)新技术发展有限公司 | Battery state monitoring method, system, electronic equipment and storage medium |
CN116435631B (en) * | 2023-03-16 | 2024-07-30 | 长沙熙臻电子科技有限公司 | Button cell low-power alarming method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103797374A (en) * | 2011-09-30 | 2014-05-14 | Kpit技术有限责任公司 | System and method for battery monitoring |
CN106802394A (en) * | 2017-02-06 | 2017-06-06 | 清华大学深圳研究生院 | The modification method and device of automobile batteries state-of-charge |
CN112319305A (en) * | 2020-10-10 | 2021-02-05 | 蔚来汽车科技(安徽)有限公司 | Vehicle safety monitoring method, monitoring system and device |
CN113075571A (en) * | 2021-03-24 | 2021-07-06 | 湖北亿纬动力有限公司 | Lithium ion battery OCV determining method, device and system |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102998623B (en) * | 2011-09-14 | 2016-03-16 | 北汽福田汽车股份有限公司 | The estimation on line method and system of storage battery charge state |
CN103675701B (en) * | 2013-11-29 | 2016-08-24 | 宇龙计算机通信科技(深圳)有限公司 | The method for correcting of a kind of battery dump energy and device |
FR3016091B1 (en) * | 2013-12-27 | 2016-01-08 | Renault Sas | METHOD AND SYSTEM FOR BATTERY MANAGEMENT FOR MOTOR VEHICLE |
CN106364354B (en) * | 2016-10-10 | 2019-06-28 | 北京新能源汽车股份有限公司 | Automobile charging control system and automobile charging control method |
CN106908741B (en) * | 2017-04-26 | 2020-06-12 | 广州汽车集团股份有限公司 | SOH estimation method and device for power battery pack of hybrid electric vehicle |
CN107884718B (en) * | 2017-10-11 | 2021-02-19 | 深圳天珑无线科技有限公司 | Battery remaining capacity calculation method, mobile terminal and storage device |
CN108819738B (en) * | 2018-05-30 | 2021-02-09 | 北京新能源汽车股份有限公司 | Storage battery charging method, vehicle control unit, electric quantity monitoring device and electric vehicle |
US11161428B2 (en) * | 2019-07-01 | 2021-11-02 | Ford Global Technologies, Llc | Adaptive open circuit voltage based soc reset method at the end of charge based on temperature and charging rate |
US11046205B1 (en) * | 2020-07-21 | 2021-06-29 | Samsara Inc. | Electric vehicle charge determination |
-
2021
- 2021-07-30 CN CN202110872267.XA patent/CN113608138B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103797374A (en) * | 2011-09-30 | 2014-05-14 | Kpit技术有限责任公司 | System and method for battery monitoring |
CN106802394A (en) * | 2017-02-06 | 2017-06-06 | 清华大学深圳研究生院 | The modification method and device of automobile batteries state-of-charge |
CN112319305A (en) * | 2020-10-10 | 2021-02-05 | 蔚来汽车科技(安徽)有限公司 | Vehicle safety monitoring method, monitoring system and device |
CN113075571A (en) * | 2021-03-24 | 2021-07-06 | 湖北亿纬动力有限公司 | Lithium ion battery OCV determining method, device and system |
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