CN117538779A - Storage battery power shortage monitoring method, system and medium based on central computing platform - Google Patents
Storage battery power shortage monitoring method, system and medium based on central computing platform Download PDFInfo
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Abstract
The invention relates to a storage battery power shortage monitoring method, a system and a medium based on a central computing platform, and relates to the technical field of new energy automobiles; judging the state of the vehicle based on the vehicle state data, and triggering the power shortage monitoring operation under the preset vehicle state; and judging the state of the storage battery based on the storage battery state data, and triggering the power shortage alarming operation under the preset storage battery state. The invention reduces the influence on the environment and the use condition when the storage battery is in the power shortage monitoring and improves the accuracy and the stability of the storage battery monitoring.
Description
Technical Field
The invention relates to the technical field of new energy automobiles, in particular to a storage battery power shortage monitoring method, system and medium based on a central computing platform.
Background
The central computing platform (CCP: centralization Computing Platform) is a centralized system that integrates high performance computing, data processing, storage, analysis, and management functions. It is typically used to process large amounts of data, perform complex computational and analysis tasks, and provide data, services, and decision support for other subsystems or devices. The central computing platform can be applied in various fields and industries, such as automobiles, the Internet of things, industrial production and the like.
The conventional method generally uses parameters such as voltage, current and time to estimate SOC (State of Charge) of the battery, i.e., the remaining percentage of the battery, including an open circuit voltage method, a current integration method, etc.
Although these methods can estimate the SOC of the battery to some extent, there are certain limitations in accuracy and stability of the conventional methods due to the complexity of the battery and the influence of the environment and the use conditions.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide a method, a system and a medium for monitoring battery power shortage based on a central computing platform, which reduce the influence on the environment and the use condition during the battery power shortage monitoring, and improve the accuracy and the stability of the battery monitoring.
In a first aspect, the present invention provides a method for monitoring power loss of a storage battery based on a central computing platform, which adopts the following technical scheme:
a method for monitoring battery power shortage based on a central computing platform, comprising:
acquiring dynamic data of a vehicle based on a central computing platform, wherein the dynamic data comprises vehicle state data and storage battery state data; judging the state of the vehicle based on the vehicle state data, and triggering the power shortage monitoring operation under the preset vehicle state; and judging the state of the storage battery based on the storage battery state data, and triggering the power shortage alarming operation under the preset storage battery state.
Further, in the above method for monitoring battery power loss based on a central computing platform, the vehicle state data includes vehicle speed data, ignition state data, vehicle working mode data, vehicle door data and battery management system state data; the battery state data includes battery voltage data and temperature data.
Further, in the above method for monitoring the power shortage of the storage battery based on the central computing platform, the determining the state of the vehicle based on the vehicle state data, and triggering the power shortage monitoring operation under the preset vehicle state, includes:
judging whether the vehicle is in a static state or not based on the vehicle speed data;
judging whether the vehicle is in a flameout state or not based on the ignition state data;
judging whether the vehicle is in a transportation mode or not based on the vehicle working mode data;
judging whether the vehicle is locked or not based on the vehicle door data;
judging the working state of a vehicle high-voltage system based on the state data of the battery management system;
when the vehicle is in a stationary state and the vehicle is in a flameout state and the vehicle is not in a transport mode and the vehicle is locked and the vehicle high-voltage system is not in a high-voltage state, triggering the power shortage monitoring operation of the storage battery.
Further, in the above method for monitoring power shortage of a storage battery based on a central computing platform, the step of judging the state of the storage battery based on the storage battery state data and triggering a power shortage alarm operation in a preset storage battery state includes: determining an SOC of the battery based on the battery voltage data and the temperature data;
and when the SOC is smaller than a set charge threshold value, triggering a first-stage power-shortage alarm.
Further, in the above method for monitoring power loss of a storage battery based on a central computing platform, after triggering the first-stage power loss alarm when the SOC is smaller than a set charge threshold, the method further includes:
calculating a battery deficit rate Δsoc based on the SOC;
and triggering a second-stage power shortage alarm when the delta SOC is larger than a preset loss rate threshold.
Further, in the above method for monitoring the power loss of the storage battery based on the central computing platform, the method further comprises:
after triggering the power shortage alarming operation, generating a remote control instruction based on user operation, and triggering the intelligent power supplementing operation by the central computing platform in response to the remote control instruction.
Further, in the above method for monitoring the power loss of the storage battery based on the central computing platform, the method further comprises:
and when the intelligent power-supplementing operation is carried out, judging the state of the storage battery based on the storage battery state data, and stopping the intelligent power-supplementing operation when the preset storage battery charge is reached.
In a second aspect, the invention provides a storage battery power loss monitoring system based on a central computing platform, which adopts the following technical scheme:
a central computing platform based battery power loss monitoring system, comprising:
the central computing platform is deployed at a vehicle end and is used for acquiring dynamic data of a vehicle, wherein the dynamic data comprises vehicle state data and storage battery state data;
the power shortage monitoring operation triggering module is deployed at the cloud end and is used for judging the state of the vehicle based on the vehicle state data and triggering power shortage monitoring operation under the preset vehicle state;
and the power shortage alarm operation triggering module is deployed at the cloud end and is used for judging the state of the storage battery based on the storage battery state data and triggering the power shortage alarm operation under the preset storage battery state.
Further, in the above-mentioned battery power shortage monitoring system based on a central computing platform, further includes:
and the remote control module is used for generating a remote control instruction based on user operation after triggering the power shortage alarming operation, and the central computing platform is used for responding to the remote control instruction to trigger the intelligent power shortage alarming operation.
In a third aspect, the present invention provides a readable storage medium, which adopts the following technical scheme:
a readable storage medium storing computer instructions which when executed by a processor implement a method of monitoring battery power loss based on a central computing platform as in any one of the first aspects above.
In summary, compared with the prior art, the invention has at least one of the following beneficial technical effects:
1. by acquiring dynamic data of the vehicle and state data of the storage battery and combining preset vehicle states and storage battery state conditions, monitoring and alarming of the power shortage condition of the storage battery are achieved. The method can be applied in various scenes, and ensures that the vehicle is in a relatively stable state when the vehicle-mounted storage battery is subjected to power shortage monitoring, so that the influence of environment and use conditions on the electric quantity of the storage battery is reduced, and the accuracy and stability of the storage battery monitoring are improved;
2. in the embodiment of the invention, the power-shortage monitoring operation and the power-shortage warning operation can be triggered only when necessary by setting a plurality of front judging conditions and multi-stage warning triggering conditions, so that the monitoring under the unnecessary condition is avoided, the resource and energy consumption of a monitoring system are reduced, and the monitoring efficiency and accuracy are improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block flow diagram of a method for monitoring battery power loss based on a central computing platform according to an embodiment of the present invention.
Fig. 2 is a block flow diagram of another embodiment of a method for monitoring battery power loss based on a central computing platform of the present invention.
Fig. 3 is a block flow diagram of another embodiment of a method for monitoring battery power loss based on a central computing platform of the present invention.
Fig. 4 is a block flow diagram of another embodiment of a method for monitoring battery power loss based on a central computing platform of the present invention.
Fig. 5 is a schematic diagram of another embodiment of a method for monitoring battery power loss based on a central computing platform according to the present invention.
Fig. 6 is a block flow diagram of another embodiment of a method for monitoring battery power loss based on a central computing platform of the present invention.
Fig. 7 is a block flow diagram of another embodiment of a method for monitoring battery power loss based on a central computing platform of the present invention.
Fig. 8 is a flowchart of an application scenario of a battery power loss monitoring method based on a central computing platform of the present invention.
Fig. 9 is a schematic structural diagram of a battery power loss monitoring system based on a central computing platform according to an embodiment of the present invention.
Fig. 10 is a topology diagram of an embodiment of a battery power loss monitoring system based on a central computing platform of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The execution sequence of the method steps in the embodiments of the present invention may be performed according to the sequence described in the specific embodiments, or the execution sequence of each step may be adjusted according to actual needs on the premise of solving the technical problem, which is not listed here.
It should be noted that the following description order of the embodiments is not intended to limit the preferred order of the embodiments of the present invention. In the following embodiments, the descriptions of the embodiments are focused on, and for the part that is not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
The invention is described in further detail below with reference to fig. 1-10.
Referring to fig. 1, an embodiment of the invention discloses a method for monitoring battery power shortage based on a central computing platform, comprising:
s1, acquiring dynamic data of a vehicle based on a central computing platform, wherein the dynamic data comprises vehicle state data and storage battery state data;
s2, judging the state of the vehicle based on the vehicle state data, and triggering power shortage monitoring operation under the preset vehicle state;
and S3, judging the state of the storage battery based on the storage battery state data, and triggering power shortage alarming operation under the preset storage battery state.
Specifically, the invention firstly collects vehicle state data of the vehicle, such as vehicle speed, ignition state, vehicle working mode, vehicle door state and other vehicle state data, through sensors of a battery, a vehicle body, a power sensor and the like in the vehicle, so as to judge the state of the vehicle in real time. Meanwhile, battery state data of the vehicle-mounted battery are collected and used for judging the electric quantity of the battery subsequently.
Then, using the collected vehicle state data, it is determined whether the vehicle is in a specific state, such as whether it is in a running state, whether it is in a flameout state, whether it is locked, or the like. If the vehicle meets the preset specific state condition, namely the pre-condition of the power shortage monitoring operation is met, the power shortage monitoring operation is entered.
Then, the state of the battery is judged by using the acquired battery state data. If the state of the battery satisfies a preset specific condition, such as the SOC of the battery being lower than 70% (threshold adjustable), a power shortage warning operation is triggered.
In summary, the foregoing embodiments describe a method for monitoring the power loss of a storage battery based on a central computing platform, which implements monitoring and alarming of the power loss of the storage battery by acquiring state data of a vehicle and state data of the storage battery and combining preset vehicle states and state conditions of the storage battery. The method can be applied in various scenes, and ensures that the vehicle is in a relatively stable state when the vehicle-mounted storage battery is subjected to power shortage monitoring, so that the influence of environment and use conditions on the electric quantity of the storage battery is reduced, and the accuracy and stability of the storage battery monitoring are improved.
Further, as an embodiment of the present invention, the vehicle state data includes vehicle speed data, ignition state data, vehicle operation mode data, door data, and battery management system state data; the battery state data includes battery voltage data and temperature data.
Specifically, in the vehicle state data:
vehicle speed data: for determining whether the vehicle is in a driving state to determine whether one of the preconditions for the power loss monitoring, i.e., whether the vehicle is stationary and not moving, is satisfied.
Ignition state data: and the system is used for judging whether the vehicle is in a flameout state or not and is used as one of the preconditions of the power shortage monitoring algorithm.
Vehicle operation mode data: for determining whether the vehicle is in a transportation mode. In some cases, the power loss monitoring algorithm may not be applicable if the vehicle is in a transport mode.
Door data: and the method is used for judging whether the vehicle door is locked or not and is used as one of the preconditions of the power shortage monitoring algorithm.
Battery Management System (BMS) status data: the method is used for judging the working state of the high-voltage system and is also one of the preconditions of the power shortage monitoring algorithm. The BMS state data contains information about the battery, such as a charge-discharge state, a battery health state, and the like.
The battery state data:
battery voltage data: for calculating the state of the battery, including charge and discharge conditions. The data are used for judging whether the battery is deficient or not and are used as one of the bases of the operation of the power deficiency alarm.
Temperature data: the temperature data is one of the important indicators of the battery state. In the power shortage judgment, the temperature data may be used to perform compensation calculation on the SOC (State of Charge) of the storage battery, so as to improve the accuracy of the power shortage judgment.
In summary, this embodiment describes the components of the vehicle state data and the battery state data in further detail. Various aspects of vehicle status data, such as vehicle speed, ignition status, vehicle operating mode, door status, and battery management system status, play a critical role in the process of power loss monitoring. The state data of the storage battery, particularly the voltage data and the temperature data, are important data sources for judging the power shortage condition of the storage battery. By comprehensively analyzing the data, the accurate monitoring and alarming of the power shortage state of the storage battery can be realized.
Further, as an embodiment of the present invention, referring to fig. 2, step S2 of determining a state of a vehicle based on the vehicle state data, and triggering a power loss monitoring operation in a preset vehicle state includes:
s21, judging whether the vehicle is in a static state or not based on the vehicle speed data;
s22, judging whether the vehicle is in a flameout state or not based on the ignition state data;
s23, judging whether the vehicle is in a transportation mode or not based on the vehicle working mode data;
s24, judging whether the vehicle is locked or not based on the vehicle door data;
s25, judging the working state of a vehicle high-voltage system based on the battery management system state data;
s26, triggering the power shortage monitoring operation of the storage battery when the vehicle is in a stationary state, the vehicle is in a flameout state, the vehicle is not in a transportation mode, the vehicle is locked, and the vehicle high-voltage system is not in a high-voltage state.
Specifically, by determining the status data of the vehicle, non-monitoring conditions such as the vehicle running, the vehicle not being flameout, the vehicle being in a special operating mode (e.g., a transportation mode), the vehicle door not being locked, etc. may be eliminated. These conditions may affect the effectiveness of the power loss monitoring and therefore require that the monitoring operation be performed in a suitable state. If the power loss monitoring is triggered in the normal working state of the vehicle, false alarm may be caused, for example, when the vehicle is just awakened, the high-voltage signal and the power-up state signal are in inconsistent jump, and time and resources are wasted. By setting the pre-judgment conditions in steps S21 to S25, these normal conditions can be eliminated, and the possibility of false alarm can be reduced.
Meanwhile, monitoring and maintenance of the battery requires additional energy and resources, such as waking up the vehicle for monitoring operations. By setting the pre-judgment conditions, the monitoring can be ensured only when necessary, thereby saving energy and resources.
In summary, the invention can execute the battery power shortage monitoring operation at a proper time by setting the pre-judging condition, thereby improving the accuracy and reliability of monitoring and avoiding unnecessary operation and false alarm. This approach helps to ensure proper operation and maintenance of the battery and optimizes the resource utilization of the system.
Further, as an embodiment of the present invention, referring to fig. 3, step S3 of determining a state of the battery based on the battery state data, and triggering a power shortage warning operation in a preset battery state includes:
s31, determining the SOC of the storage battery based on the storage battery voltage data and the temperature data;
and S32, triggering a first-stage power shortage alarm when the SOC is smaller than a set charge threshold value.
Specifically, first, the SOC (State of Charge) of the battery is calculated from the battery voltage data and the temperature data. The SOC of a battery represents the percentage of its current state of charge relative to the maximum charge. Voltage data and temperature data are one of the important parameters for calculating SOC because the voltage and temperature of the battery affect its actual capacity.
Then, by comparing with a preset charge threshold value, whether the state of charge of the storage battery is lower than the set threshold value is judged. In this embodiment, the charge threshold may be set to 70%, i.e. if the SOC of the battery is less than 70%, indicating that the battery power may have fallen to a lower level, requiring a power shortage warning operation.
Specifically, a common method for calculating the SOC of the battery from the battery voltage data and the temperature data is based on a relationship between the open circuit voltage (Open Circuit Voltage, OCV) of the battery and the battery voltage while taking into consideration the temperature factor, comprising the steps of:
first, calibration data of the battery, i.e., battery voltage and OCV data at different SOCs, needs to be acquired. These data are typically obtained experimentally;
then, in practical application, obtaining voltage data of the storage battery;
the measured battery voltage is then converted to a corresponding open circuit voltage OCV by a voltage-OCV curve. This step typically requires interpolation or fitting from the calibration data;
meanwhile, considering the influence of temperature on the battery voltage-OCV relationship, compensation is required according to the temperature data of the battery. The OCV is typically adjusted using a temperature correction coefficient;
finally, the temperature-compensated measured voltage is compared with the OCV, thereby calculating the SOC. This is an iterative process, implemented by finding the best matching SOC value.
It is specifically noted that the above method is just one embodiment of calculating the SOC of the battery based on the battery voltage data and the temperature data, and in other embodiments, more sophisticated battery models and algorithms may be incorporated to obtain a more accurate SOC. Meanwhile, since the battery performance varies with time and cycle, accurate calculation of the SOC may be affected by a certain error. Therefore, in practical applications, calibration and compensation are usually performed in combination with other data and algorithms to improve accuracy of SOC calculation.
In summary, step S3 in the above embodiment uses the battery state data to determine the state of the battery, and by calculating the SOC of the battery and comparing with the set threshold, accurate monitoring and alarming of the battery state are achieved. When the electric quantity of the storage battery is reduced below a preset level, triggering the power shortage alarming operation so as to take measures in time to supplement electricity and ensure the normal use and performance of the vehicle.
Further, as an embodiment of the present invention, referring to fig. 4, in step S32, after triggering the first-stage power-shortage alarm when the SOC is smaller than the set charge threshold, the method further includes:
s33, calculating the battery power shortage rate delta SOC based on the SOC;
and S34, triggering a second-stage power-shortage alarm when the delta SOC is larger than a preset loss rate threshold.
Specifically, the battery deficit rate Δsoc is calculated from the continuous SOC measurements. Δsoc represents a decrease in SOC per unit time, i.e., a decrease rate of the battery charge. The current SOC value can be compared with the SOC value at the previous moment, and then calculated according to the time interval, namely:
ΔSOC＝SOC_n-1-SOC_n。
and comparing the calculated delta SOC with a preset loss rate threshold value to judge whether the electric quantity loss rate of the storage battery exceeds the set threshold value. In this embodiment, the loss rate threshold may be set to 5%, that is, if Δsoc is greater than 5%, which indicates that the rate of decrease of the battery power is faster, a more serious power loss condition may exist, and the second level power loss alarm operation needs to be triggered.
By calculating the battery power shortage rate Δsoc, it is possible to further judge whether the battery power reduction rate exceeds a set threshold value. If ΔSOC is greater than a preset loss rate threshold, indicating a faster battery level drop, more urgent handling may be required. By setting the second-stage power shortage alarm, abnormal conditions of the battery performance can be found and dealt with in advance, and normal operation of the vehicle is guaranteed.
Referring to fig. 5, in the embodiment of the present invention, by setting a plurality of pre-judgment conditions and multi-stage alarm triggering conditions, the power-shortage monitoring operation and the power-shortage alarm operation can be triggered as necessary, thereby avoiding monitoring under unnecessary conditions, reducing the resource and energy consumption of the monitoring system, and improving the monitoring efficiency and accuracy.
Each pre-determined condition and trigger condition is set according to specific circumstances and requirements to ensure that the monitoring and alarm operation will be triggered only in specific situations. For example, the determination of the vehicle status and the determination of the battery status, by a combination of various conditions, ensures that the power deficit monitoring is triggered only when the vehicle is stationary, flameout, not in transit, locked up, and the high voltage system is not in a high voltage state. And when the alarm is triggered, the condition of the battery power reduction rate is also considered, so that frequent alarm is avoided under the condition of slower battery power reduction.
The multistage condition triggering method effectively optimizes the operation of the monitoring system, reduces ineffective monitoring, reduces the energy consumption and resource expenditure of the system, and simultaneously ensures the accuracy and timeliness of the monitoring under the key condition. This is an effective way to save resources and improve system performance for practical vehicle battery power loss monitoring applications.
Further, referring to fig. 6, as an embodiment of the present invention, a method for monitoring power loss of a storage battery based on a central computing platform further includes:
and S4, after the power shortage warning operation is triggered, generating a remote control instruction based on the user operation, and triggering the intelligent power shortage warning operation by the central computing platform in response to the remote control instruction.
In this embodiment, after the power failure monitoring system triggers the power failure alarm operation, the present invention may generate a remote control command based on the operation of the user, so as to further take measures to solve the power failure problem of the battery. These include remote recharging operations to ensure that the battery is timely charged, thereby avoiding vehicle failure or other problems.
The operation of generating remote control instructions involves a user interface, mobile application, or other remote control tool. Once the remote control instructions are generated, the instructions are passed to the central computing platform. The central computing platform responds and executes corresponding intelligent power-up operation according to the received instruction.
Specifically, the intelligent power-up operation comprises the following steps:
1. remotely waking up the vehicle: if the vehicle is in a dormant state, the central computing platform can send out a wake-up instruction to enable the vehicle to enter an active state so as to conduct subsequent power supplementing operation.
2. Remotely starting a high-voltage system: the central computing platform can send instructions to the vehicle, and a high-voltage system of the whole vehicle is started so as to perform power-supplementing operation of the storage battery.
3. And (3) controlling the electricity supplementing process: the central computing platform may control the charging process of the vehicle to ensure that the battery SOC reaches a safe level, thereby avoiding further power loss conditions.
Step S4 describes how remote control instructions are generated by user operations after triggering the power shortage warning operations, and then how the central computing platform responds to these instructions and triggers intelligent power shortage operations to solve the battery power shortage problem. The method can manage the battery state through remote control, and ensure that the vehicle always maintains enough electric quantity, thereby improving the usability and stability of the vehicle.
Further, referring to fig. 7, as an embodiment of the present invention, a method for monitoring power loss of a storage battery based on a central computing platform further includes:
and S5, judging the state of the storage battery based on the storage battery state data when the intelligent power-supplementing operation is performed, and stopping the intelligent power-supplementing operation when the preset storage battery charge is reached.
When intelligent power-up operation is performed, the state of the storage battery can be monitored and judged in real time based on the state data of the storage battery in order to ensure the safety and the stability of the storage battery. If the charge of the storage battery reaches the preset charge of the storage battery in the process of charging, the intelligent charging operation is stopped, so that the occurrence of overcharge is avoided. The preset battery charge may be set to 90% in this embodiment. The process of measuring and calculating the state data of the storage battery is consistent with the above embodiment, and will not be described herein.
In summary, referring to fig. 8, a specific application scenario of the battery power loss monitoring method based on the central computing platform of the present invention is as follows:
step1, whole vehicle data acquisition: collecting the state of the vehicle through a battery, a vehicle body and a power sensor in the vehicle, and packing, encrypting and uploading the state to a cloud end through a CCP (central computing platform);
step2, data analysis/cleaning: decrypting, analyzing and cleaning the data uploaded by the vehicle end;
step3, judging the deficiency of power: the method for monitoring the power deficiency according to any one of the above embodiments is operated, data uploaded by a vehicle terminal is processed, whether the vehicle is power deficiency is judged, and a result is synchronized to a terminal application system;
step4, pushing the early warning message: the terminal application system synchronizes early warning information to an operation end or an after-sales engineering team in real time through mails, short messages, enterprise office APP and the like according to preset information pushing rules;
step5, checking and analyzing early warning results: after receiving the early warning message, the operation terminal logs in the terminal application system to check the early warning result, analyzes the power deficiency reason, initiates a remote control instruction and timely supplements power for the vehicle;
step 6, remote control: the cloud end invokes remote control service and issues a remote control instruction to the vehicle end;
step7, remote control instruction execution: after the vehicle end receives the remote control instruction issued by the cloud, the CCP analyzes and starts the vehicle control service in the vehicle and sends an intelligent power-up instruction to the three-electric controller;
step8, intelligent power supply: the three-electric controller executes an intelligent power supply instruction, the whole vehicle high-voltage system is started, a 12V storage battery is charged, the charge state of the storage battery is synchronously collected, when the SOC reaches 90%, the CCP is requested to exit the intelligent power supply, the whole vehicle is under high voltage, and the vehicle enters dormancy. Meanwhile, in the whole power supply process, the CCP synchronizes data comprising the storage battery SOC, the power supply state and the whole vehicle high-voltage state to the cloud in real time.
The embodiment of the invention also discloses a storage battery power shortage monitoring system based on the central computing platform.
Referring to fig. 9 and 10, a system for monitoring power loss of a storage battery based on a central computing platform 1 comprises the central computing platform 1, a power loss monitoring operation triggering module 2 and a power loss warning operation triggering module 3.
The central computing platform 1 is deployed at a vehicle end and is used for acquiring dynamic data of a vehicle, wherein the dynamic data comprises vehicle state data and storage battery state data. The central computing platform 1 (CCP) is a computing device built in a vehicle, and is data-connected to an area controller (ZCU), a smart antenna module (IAM) and three-electric ECUs in the vehicle. CCP provides dynamic data acquisition and remote vehicle control service resolution and scheduling; ZCU provides services such as small battery data acquisition, vehicle body state data acquisition, vehicle control, etc.; the IAM provides vehicle cloud communication capability and performs vehicle control instruction and data routing; the three-electric ECUs can provide large battery data and whole vehicle high voltage state data.
The power shortage monitoring operation triggering module 2 can be deployed on a big data platform of the cloud end and is used for judging the state of the vehicle based on the vehicle state data and triggering the power shortage monitoring operation under the preset vehicle state. The power shortage monitoring operation triggering module 2 is used for monitoring various states of the vehicle, such as a vehicle speed, an ignition state, a vehicle door state and the like, based on the processed vehicle state data, and then judging whether the vehicle is in a state suitable for power shortage monitoring. If the vehicle state meets the preset condition, the module triggers corresponding power loss monitoring operation. The method for processing the vehicle state data comprises data analysis, data cleaning, data storage and the like.
The power shortage warning operation triggering module 3 can be deployed on a big data platform of the cloud end and is used for judging the state of the storage battery based on the storage battery state data and triggering power shortage warning operation under the preset storage battery state. The electricity-deficiency alarm operation triggering module 3 monitors parameters such as voltage and temperature of the storage battery, and then judges whether the state of the storage battery needs to be alarmed according to a preset threshold value. If the battery status reaches a preset alarm condition, the module will trigger a power shortage alarm operation.
According to the system provided by the embodiment of the invention, the monitoring operation triggering module of the central computing platform 1 and the monitoring operation triggering module of the cloud big data platform are combined, so that the monitoring and judgment of the vehicle state and the storage battery state are realized. The system structure can more accurately judge when the power shortage monitoring operation and the power shortage alarming operation are carried out so as to ensure the performance and the safety of the storage battery. Meanwhile, real-time monitoring and notification can be realized through cloud deployment, so that related personnel can take measures in time.
Further, as an embodiment of the present invention, the system further includes:
and the remote control module 4 generates a remote control instruction based on user operation after triggering the power shortage alarming operation, and the central computing platform responds to the remote control instruction to trigger intelligent power shortage alarming operation.
Specifically, after triggering the power-shortage warning operation, the remote control module 4 is responsible for generating a remote control instruction based on the operation of the user. The operations may be performed by the vehicle owner or operator via an application, remote control platform, or the like. The generated remote control command may include various operations such as remotely starting, waking up the vehicle, and performing an intelligent power-up operation for the battery.
After the remote control module 4 generates remote control instructions, the central computing platform 1 responds to the instructions. It parses and processes the received instruction and then triggers the corresponding operation. In this case, the instruction may trigger an intelligent power supplementing operation, i.e., power supplementing according to the state of the battery. In the power supplementing process, the system can monitor the state of the storage battery so as to ensure the safety and effectiveness of power supplementing operation.
Through the cooperative work of the remote control module 4 and the central computing platform, the system can realize remote control operation according to the requirements of users so as to solve the problem of battery power shortage. For example, when the system judges that the state of the storage battery needs to be supplemented, a user can trigger intelligent power supplementing operation through a remote control instruction, so that the normal operation and the safety of the storage battery are ensured. This remote control functionality enhances the flexibility and practicality of the system, providing more operational options and convenience to the user.
The embodiment of the invention also discloses a readable storage medium.
A readable storage medium storing a computer program which when executed by a processor performs the steps of a method for monitoring battery power consumption based on a central computing platform as described in any one of the above embodiments. The computer readable storage medium may include: any entity or device capable of carrying a computer program, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a software distribution medium, and so forth. The computer program comprises computer program code. The computer program code may be in the form of source code, object code, executable files, or in some intermediate form, among others. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a software distribution medium, and so forth.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention 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 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, system that includes a processing module, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a storage battery power shortage monitoring method based on a central computing platform, which is characterized by comprising the following steps:
acquiring dynamic data of a vehicle based on a central computing platform, wherein the dynamic data comprises vehicle state data and storage battery state data; judging the state of the vehicle based on the vehicle state data, and triggering the power shortage monitoring operation under the preset vehicle state; and judging the state of the storage battery based on the storage battery state data, and triggering the power shortage alarming operation under the preset storage battery state.
2. The method for monitoring battery power consumption based on a central computing platform of claim 1, wherein the vehicle status data comprises vehicle speed data, ignition status data, vehicle operating mode data, door data, and battery management system status data; the battery state data includes battery voltage data and temperature data.
3. The method for monitoring the power shortage of the storage battery based on the central computing platform according to claim 2, wherein the step of judging the state of the vehicle based on the vehicle state data and triggering the power shortage monitoring operation in the preset vehicle state comprises the steps of:
judging whether the vehicle is in a static state or not based on the vehicle speed data;
judging whether the vehicle is in a flameout state or not based on the ignition state data;
judging whether the vehicle is in a transportation mode or not based on the vehicle working mode data;
judging whether the vehicle is locked or not based on the vehicle door data;
judging the working state of a vehicle high-voltage system based on the state data of the battery management system;
when the vehicle is in a stationary state and the vehicle is in a flameout state and the vehicle is not in a transport mode and the vehicle is locked and the vehicle high-voltage system is not in a high-voltage state, triggering the power shortage monitoring operation of the storage battery.
4. The method for monitoring power shortage of a storage battery based on a central computing platform according to claim 2, wherein the step of determining the state of the storage battery based on the storage battery state data and triggering a power shortage warning operation in a preset storage battery state comprises:
determining an SOC of the battery based on the battery voltage data and the temperature data;
and when the SOC is smaller than a set charge threshold value, triggering a first-stage power-shortage alarm.
5. The method for monitoring power loss of a storage battery based on a central computing platform as claimed in claim 4, wherein after triggering the first-stage power loss alarm when the SOC is less than a set charge threshold, further comprising:
calculating a battery deficit rate Δsoc based on the SOC;
and triggering a second-stage power shortage alarm when the delta SOC is larger than a preset loss rate threshold.
6. The method for monitoring battery power consumption based on a central computing platform of claim 1, further comprising:
after triggering the power shortage alarming operation, generating a remote control instruction based on user operation, and triggering the intelligent power supplementing operation by the central computing platform in response to the remote control instruction.
7. The method for monitoring battery power consumption based on a central computing platform of claim 6, further comprising:
and when the intelligent power-supplementing operation is carried out, judging the state of the storage battery based on the storage battery state data, and stopping the intelligent power-supplementing operation when the preset storage battery charge is reached.
8. A battery power loss monitoring system based on a central computing platform, the system comprising:
the central computing platform is deployed at a vehicle end and is used for acquiring dynamic data of a vehicle, wherein the dynamic data comprises vehicle state data and storage battery state data;
the power shortage monitoring operation triggering module is deployed at the cloud end and is used for judging the state of the vehicle based on the vehicle state data and triggering power shortage monitoring operation under the preset vehicle state;
and the power shortage alarm operation triggering module is deployed at the cloud end and is used for judging the state of the storage battery based on the storage battery state data and triggering the power shortage alarm operation under the preset storage battery state.
9. The central computing platform-based battery power loss monitoring system of claim 8, further comprising:
and the remote control module is used for generating a remote control instruction based on user operation after triggering the power shortage alarming operation, and the central computing platform is used for responding to the remote control instruction to trigger the intelligent power shortage alarming operation.
10. A readable storage medium storing computer instructions which when executed by a processor implement a central computing platform based battery power loss monitoring method as claimed in any one of claims 1 to 7.
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