CN113799650B - Battery data processing method and device - Google Patents
Battery data processing method and device Download PDFInfo
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- CN113799650B CN113799650B CN202111211514.8A CN202111211514A CN113799650B CN 113799650 B CN113799650 B CN 113799650B CN 202111211514 A CN202111211514 A CN 202111211514A CN 113799650 B CN113799650 B CN 113799650B
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- 238000004590 computer program Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 12
- 238000003860 storage Methods 0.000 claims description 10
- 230000007613 environmental effect Effects 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims 1
- 238000012423 maintenance Methods 0.000 description 15
- 238000010586 diagram Methods 0.000 description 9
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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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
Abstract
The embodiment of the invention provides a battery data processing method and device, wherein the method comprises the following steps: acquiring battery data of a vehicle; if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data; the prompt information is sent to a preset terminal; when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information. Compared with the method provided by the user manual in the prior art, the embodiment of the invention can be used for maintaining the battery, and the embodiment of the invention can realize that a vehicle owner can sense whether the abnormal condition occurs in the battery assembly and actively decide whether control information needs to be issued or not so as to improve the abnormal condition of the battery assembly.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a battery data processing method and a battery data processing device.
Background
With the development of science and technology and society, electric vehicles are becoming a tool for riding instead of walk for more and more people.
The battery is arranged in the electric vehicle as an energy source, and the healthy battery can provide stable and safe electric energy for the electric vehicle, so that the maintenance of the battery is very important.
In the prior art, a vehicle owner maintains a battery through a method provided by a user manual, and the following problems exist:
1. some users do not carefully read or follow the user manual.
2. It is difficult for the user to quantify whether the self-use habit does not meet the maintenance requirement, so that the service life of the battery pack is reduced beyond expectations, and even safety risks occur.
Disclosure of Invention
In view of the above, embodiments of the present invention have been made to provide a control method and a corresponding control apparatus that overcome or at least partially solve the above-mentioned problems.
In order to solve the above problems, an embodiment of the present invention discloses a battery data processing method, including:
acquiring battery data of a vehicle;
if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data;
the prompt information is sent to a preset terminal;
when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information.
Optionally, the battery data includes feature information and feature parameters corresponding to the feature information;
the battery abnormal condition includes a preset value corresponding to the characteristic information.
Optionally, the characteristic information includes an environmental characteristic, and the characteristic parameter includes a temperature detection value and a duration corresponding to the environmental characteristic; the preset value comprises a first preset time threshold value and a first preset temperature threshold value which correspond to the ambient temperature; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise:
generating prompt information based on the temperature detection value when the temperature detection value is greater than the first preset temperature threshold value and the duration time is greater than the temperature threshold value;
control information corresponding to a temperature adjustment device in the battery module is generated based on the temperature detection value.
Optionally, the characteristic information includes a power consumption characteristic, and the characteristic parameter includes a first frequency that a remaining power corresponding to the power consumption characteristic is smaller than a first preset percentage; the preset value comprises a preset frequency corresponding to the power consumption characteristic; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise:
Generating prompt information based on the first frequency when the first frequency is larger than the preset frequency;
generating a second preset percentage larger than the first preset percentage according to the preset difference value;
generating control information based on the second preset percentage; and the battery module is used for outputting alarm information when detecting that the current residual electric quantity of the battery module is reduced to the second preset percentage.
Optionally, the characteristic information includes a fast charging characteristic, and the characteristic parameter includes a first charging frequency, a first fast charging frequency duty ratio, and a first full charging frequency duty ratio in a first preset time corresponding to the fast charging characteristic; the preset value comprises a first preset times threshold value, a first preset quick charge proportion and a first preset full charge proportion which correspond to the quick charge characteristic; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise:
generating prompt information based on at least one of the first fast charge frequency ratio and the first full charge frequency ratio when the first charge frequency is greater than a first preset frequency threshold, the first fast charge frequency ratio is greater than a first preset fast charge ratio, and the first full charge frequency ratio is greater than the first preset full charge ratio;
Determining a first target full charge percentage less than a preset standard full charge percentage, and a first target fast charge current less than a preset standard fast charge current;
control information is generated based on the first target full charge percentage and the first target fast charge current.
Optionally, the characteristic information includes a full charge characteristic, and the characteristic parameter includes a second charge frequency, a second fast charge frequency duty ratio, and a second full charge frequency duty ratio in a second preset time corresponding to the fast charge characteristic; the preset value comprises a second preset time threshold value, a second preset quick charge proportion and a second preset full charge proportion which correspond to the quick charge characteristic; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise:
generating prompt information based on at least one of the fast charge frequency occupation ratio and the full charge frequency occupation ratio when the second charge frequency is larger than a second preset frequency threshold value, the fast charge frequency occupation ratio is larger than a second preset fast charge ratio, and the full charge frequency occupation ratio is larger than the second preset full charge ratio;
determining a second target full charge percentage less than a preset standard full charge percentage, and a second target fast charge current less than a preset standard fast charge current;
Control information is generated based on the second target full charge percentage and the second target fast charge current.
Optionally, the battery module includes a mutual battery management control system BMS and a battery assembly;
the battery data is generated by the BMS through detection of the battery assembly;
the BMS is configured to execute the control information.
The embodiment of the invention also discloses a battery data processing device, which comprises:
acquiring battery data of a vehicle;
if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data;
the prompt information is sent to a preset terminal;
when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information.
The embodiment of the invention also discloses an electronic device, which comprises: a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor, implements the steps of the battery data processing method as described above;
The electronic device is a server or a vehicle.
The embodiment of the invention also discloses a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the battery data processing method when being executed by a processor. The embodiment of the invention has the following advantages:
acquiring battery data of a vehicle; if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data; the prompt information is sent to a preset terminal; when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information, so that one end of battery data is obtained, whether the battery assembly of the vehicle is abnormal or not can be identified, prompt information is output to a preset terminal corresponding to a vehicle owner when the battery assembly is abnormal according to the battery data, the vehicle owner can sense the abnormal situation of the battery assembly, when a control instruction aiming at the prompt information is received, the vehicle owner is determined to need to improve the abnormal situation of the battery assembly, the control information generated aiming at the battery data is sent to the battery module, the control information is executed by the battery module, the abnormal situation of the battery assembly is improved, the battery assembly is further maintained to a certain extent, and the service life and the safety of the battery are improved. Compared with the method provided by the user manual in the prior art for maintaining the battery, the method provided by the embodiment of the invention can enable a vehicle owner to sense whether the abnormal condition occurs in the battery assembly or not and actively decide whether control information needs to be issued or not so as to improve the abnormal condition of the battery assembly.
Drawings
FIG. 1 is a flow chart of steps of an embodiment of a battery data processing method of the present invention;
FIG. 2 is a flowchart illustrating an exemplary method of battery data processing according to the present invention;
fig. 3 is a block diagram of a battery data processing apparatus embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of a battery data processing method according to the present invention may specifically include the following steps:
step 101, acquiring battery data of a vehicle;
the battery data is data that can be detected or collected for the battery assembly. For example: charging current, charging voltage, charging time, number of charges, battery temperature, battery capacity, number of cycle charges, and the like. Further, the charging current, charging voltage, charging time, number of charges, number of cycles of charging may be further divided according to a charging mode, which may include, but is not limited to, fast charging, standard charging, slow charging, etc. Further, the charging current and the charging voltage may be further divided according to different times in a single charging cycle. The battery data may be further divided by generation time, such as data detected in real time, or data detected historically.
The battery component is a power battery in the vehicle and can be a battery pack consisting of one or more electric cells.
102, if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data;
the battery abnormal condition can be preset, whether the battery data meets the battery abnormal condition or not is judged by comparing the battery data with the battery abnormal condition, if so, the use of the battery assembly is determined to be abnormal, and then prompt information and control information are generated aiming at the battery data.
In practical application, a database can be built aiming at the acquired battery data, then an identification model is built according to the database, whether the currently acquired battery data meets the battery abnormal condition is judged through the identification model, and further, when the identification model identifies the battery data meeting the battery abnormal condition, prompt information and control information can be output aiming at the battery data.
The embodiment of the invention does not limit the architecture and algorithm of the identification model specifically, and only the identification model is required to identify the battery data meeting the abnormal condition of the battery and output prompt information and control information.
Step 103, the prompt information is sent to a preset terminal;
the prompt information may include abnormal conditions of the battery pack and a control mode matched with the control information.
The mobile terminal corresponding to the vehicle owner of the vehicle can be preset as a preset terminal, the prompt information is sent to the preset terminal after the prompt information is obtained, and the vehicle owner can perceive the prompt information through the prompt information.
Or, identification information corresponding to a vehicle owner of the vehicle is preset, and the identification information may be an identification in an Application (APP). And transmitting the prompt information to a user corresponding to the side identifier in the application program, so that the vehicle owner can perceive the prompt information through a terminal running the application program.
Or the preset terminal is a vehicle-mounted terminal in the vehicle, and the prompt information can be perceived when the vehicle owner is positioned in the vehicle cabin by outputting the prompt information to the vehicle-mounted terminal. Through outputting prompt information to a preset terminal, a vehicle owner can sense that the battery assembly of the vehicle is abnormal, corresponding maintenance control is needed to be carried out on the battery assembly, and a control mode of the control information is displayed to a user, so that the vehicle owner can know the maintenance mode if the maintenance is carried out.
104, when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information.
When the vehicle owner determines that the corresponding maintenance control needs to be performed on the battery, preset input (such as gestures, voices, texts and the like) can be performed in a preset terminal so as to generate a control instruction for the prompt information.
When a control instruction sent by a preset terminal is received, the control information is sent to a battery module in a vehicle through a vehicle-end gateway by a communication protocol of unified diagnostic service (UDS, unified Diagnostic Services), and the battery module executes the control information so as to improve the abnormal condition of the battery assembly, thereby carrying out certain maintenance on the battery assembly.
In the embodiment of the invention, the battery data of the vehicle are acquired; if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data; the prompt information is sent to a preset terminal; when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information, so that one end of battery data is obtained, whether the battery assembly of the vehicle is abnormal or not can be identified, prompt information is output to a preset terminal corresponding to a vehicle owner when the battery assembly is abnormal according to the battery data, the vehicle owner can sense the abnormal situation of the battery assembly, when a control instruction aiming at the prompt information is received, the vehicle owner is determined to need to improve the abnormal situation of the battery assembly, the control information generated aiming at the battery data is sent to the battery module, the control information is executed by the battery module, the abnormal situation of the battery assembly is improved, the battery assembly is further maintained to a certain extent, and the service life and the safety of the battery are improved. Compared with the method provided by the user manual in the prior art for maintaining the battery, the method provided by the embodiment of the invention can enable a vehicle owner to sense whether the abnormal condition occurs in the battery assembly or not and actively decide whether control information needs to be issued or not so as to improve the abnormal condition of the battery assembly.
In an alternative embodiment of the present invention, the battery module includes a mutual battery management control system BMS (Battery Management System) and a battery assembly; the battery data is generated by the BMS through detection of the battery assembly; the BMS is configured to execute the control information.
The BMS can monitor the battery assembly, and then obtain battery data. When the BMS obtains the control information, the battery pack can be correspondingly controlled according to the control information, for example: control the charge and discharge of the battery assembly, regulate the temperature, etc.
In an example, the steps 101-104 may be performed by a cloud end connected to a vehicle through a vehicle network, the prompt information is output to a preset terminal provided with a designated APP, the vehicle owner perceives the prompt information through the APP, and the battery module in the vehicle end performs control information to maintain the battery assembly, so as to form a battery assembly maintenance mode of three-terminal closed loop of 'cloud end-APP-vehicle end'.
In another example, the BMS is provided with a storage medium storing battery data, and the above steps 101 to 103 may be performed by the BMS, and the BMS directly performs the control information after receiving the control command without redundantly transmitting the control information in step 104.
In yet another example, steps 101-104 described above may be performed by other components in the vehicle having data transmission and data processing functions, such as: a vehicle machine in a vehicle.
In an alternative embodiment of the present invention, the battery data includes feature information and feature parameters corresponding to the feature information; the battery abnormal condition includes a preset value corresponding to the characteristic information.
And comparing the characteristic parameters of the same characteristic information with preset values, so as to judge whether the battery data meet the abnormal conditions.
In an alternative embodiment of the present invention, the characteristic information includes an environmental characteristic, and the characteristic parameter includes a temperature detection value and a duration corresponding to the environmental characteristic; the preset value comprises a first preset time threshold value and a first preset temperature threshold value which correspond to the ambient temperature; step 102 comprises:
a substep S11, when the temperature detection value is greater than the first preset temperature threshold value and the duration is greater than the temperature threshold value, generating a prompt message based on the temperature detection value;
substep S12, generating control information corresponding to a temperature adjustment device in the battery module based on the temperature detection value.
When the temperature detection value is greater than the first preset temperature threshold value and the duration time is greater than the temperature threshold value, the battery assembly is in the environment which is higher than the temperature threshold value within a period of time, and the environment is abnormal, prompt information is generated based on the temperature detection value and used for prompting a user that the battery is in the high-temperature environment for a duration time.
The temperature adjusting device is arranged in the battery module, and the control information corresponding to the temperature adjusting device is generated, so that when the vehicle receives the control information, the temperature of the battery assembly can be reduced by controlling the temperature adjusting device, the time that the battery assembly is in a high-temperature environment is shortened, the service life of the battery assembly is prolonged, and the effect of maintaining the battery assembly is achieved.
In one example, the temperature regulating device may be a fan.
In an optional embodiment of the present invention, the characteristic information includes a power consumption characteristic, and the characteristic parameter includes a first frequency of less than a first preset percentage of a remaining power corresponding to the power consumption characteristic; the preset value comprises a preset frequency corresponding to the power consumption characteristic; step 102 comprises:
a substep S21, when the first frequency is greater than the preset frequency, generating a prompt message based on the first frequency;
Step S22, generating a second preset percentage larger than the first preset percentage according to the preset difference value;
a substep S23 of generating control information based on the second preset percentage; and the battery module is used for outputting alarm information when detecting that the current residual electric quantity of the battery module is reduced to the second preset percentage.
When the first frequency is larger than the preset frequency, determining that the battery assembly is abnormal in electric quantity use, and determining a second preset percentage larger than the first preset percentage. And generating control information based on the second preset percentage, and outputting alarm information when the residual electric quantity of the battery assembly is reduced to the second preset percentage when the battery module receives the control information so as to prompt a user of the current residual electric quantity, so that the situation that the user uses the battery to be lower than the first preset percentage can be reduced to a certain extent.
For example: the first preset percentage can be 5%, the preset frequency can be 3 times/30 days, namely when the battery assembly is determined to be within 30 days according to the battery data, when the residual electric quantity is reduced to less than 5%, the battery assembly is determined to have abnormal electric quantity use, and the second preset percentage is generated to be 10%, so that the battery assembly can be promoted to charge before the residual electric quantity is reduced to 5% to a certain extent when the battery assembly is detected to be reduced to 10%, and further the battery assembly is prevented from being maintained by reducing the residual electric quantity to below 5%.
In an optional embodiment of the present invention, the feature information includes a fast charging feature, and the feature parameter includes a first charging number, a first fast charging number duty ratio, and a first full charging number duty ratio within a first preset time corresponding to the fast charging feature; the preset value comprises a first preset times threshold value, a first preset quick charge proportion and a first preset full charge proportion which correspond to the quick charge characteristic; step 102 comprises:
step S31, when the first charging frequency is greater than a first preset frequency threshold, the first fast charging frequency ratio is greater than a first preset fast charging proportion, and the first full charging frequency ratio is greater than the first preset full charging proportion, generating prompt information based on at least one of the first fast charging frequency ratio and the first full charging frequency ratio;
step S32, determining a first target full charge amount percentage smaller than a preset standard full charge amount percentage and a first target quick charge current smaller than a preset standard quick charge current;
substep S33 generates control information based on the first target full charge percentage and the first target fast charge current.
For example: the first preset time may be 30 days, the first preset number of times threshold may be 10 times, the first preset quick charge ratio may be 90%, and the first preset full charge ratio may be 60%. The first fast charge frequency is a ratio of the fast charge frequency to the first charge frequency, and the first full charge frequency is a ratio of the full charge frequency to the first charge frequency, and the full charge frequency is a condition of charging the electric quantity of the battery assembly to 100% of the current capacity.
The first target full charge percentage is less than 10% of the preset standard full charge percentage, and the first target fast charge current may be less than 20% of the preset standard fast charge current.
By reducing the percentage of full charge and the charging current, the impact of frequent and rapid charging by the user on the battery assembly is reduced.
In this alternative embodiment, the control information further includes a valid number of times, for example, 5 times, that is, the number of times the battery pack is cycled to charge the control information, and the control information is invalidated after the number of times the cycled charge reaches the valid number of times.
In an optional embodiment of the present invention, the feature information includes a full charge feature, and the feature parameter includes a second charge number, a second fast charge number duty ratio, and a second full charge number duty ratio within a second preset time corresponding to the fast charge feature; the preset value comprises a second preset time threshold value, a second preset quick charge proportion and a second preset full charge proportion which correspond to the quick charge characteristic; step 102 comprises:
step S41, when the second charging frequency is greater than a second preset frequency threshold, the fast charging frequency proportion is greater than a second preset fast charging proportion, and the full charging frequency proportion is greater than the second preset full charging proportion, generating prompt information based on at least one of the fast charging frequency proportion and the full charging frequency proportion;
Step S42, determining a second target full charge percentage smaller than a preset standard full charge percentage and a second target fast charge current smaller than a preset standard fast charge current;
substep S43 generates control information based on the second target full charge percentage and the second target fast charge current.
For example: the second preset time may be 30 days, the second preset number of times threshold may be 10 times, the second preset quick charge ratio may be 60%, and the second preset full charge ratio may be 90%. Wherein the second fast charge frequency is the ratio of the fast charge frequency to the second charge frequency, the second full charge frequency is the ratio of the full charge frequency to the second charge frequency,
the first target full charge percentage is less than 10% of the preset standard full charge percentage, and the first target fast charge current may be less than 20% of the preset standard fast charge current.
By reducing the percentage of full charge and the charging current, the impact of frequent full charge by the user on the battery assembly is reduced.
In this alternative embodiment, the control information further includes a valid number of times, for example, 5 times, that is, the number of times the battery pack is cycled to charge the control information, and the control information is invalidated after the number of times the cycled charge reaches the valid number of times.
It may be appreciated that the first charging frequency and the second charging frequency may be equal or unequal, the first preset time and the second preset time may be equal or unequal, the first target full charge percentage and the second target full charge percentage may be equal or unequal, and the second target fast charge flow may be equal or unequal.
The following further describes embodiments of the present invention by way of example:
referring to fig. 2, there is shown an exemplary schematic diagram of battery data processing according to the present invention, comprising the steps of:
step 201, acquiring battery usage data by using an internet of vehicles platform. And acquiring battery use data uploaded by the vehicle BMS by utilizing the Internet of vehicles big data platform.
Step 202, cleaning data and establishing a cloud battery database. And cleaning the data of the uploaded battery and screening necessary relevant fields for battery health maintenance, and establishing a battery cloud database for the relevant fields.
And 203, establishing a cloud anomaly identification model. And a cloud battery maintenance pushing identification model is established by utilizing a cloud database and is used for identifying the conditions of long-time storage of the battery at high temperature and extremely low temperature, overuse of the battery pack (using the battery pack quantity to be below a warning line), high-frequency high-power quick charge, full charge all the time and the like.
Step 204, step 205 is performed (when the battery usage data) satisfies one of the following conditions, otherwise step 208 is performed, including:
extremely high temperature and extremely low temperature are stored and identified for a long time: if the vehicle is detected to be continuously parked for more than 8 hours at the ambient temperature of >40 ℃, pushing the strategy: the vehicle owner APP prompts that the health degree of the battery pack can be damaged, the optional parameter pack is issued to adjust the battery temperature, and if the vehicle owner agrees to issue, the strategy is issued to the BMS through the vehicle networking gateway to execute. If the vehicle is detected to be continuously parked for more than 12 hours at the environment temperature of < -20 ℃ and in the state of not inserting the charging pile, pushing the strategy: the vehicle owner APP prompts that the health degree of the battery pack can be damaged, no parameter pack is issued, and BMS strategy change is not involved.
Overuse battery pack identification: and detecting by utilizing cloud battery related data, and if the battery pack uses the residual electric quantity to less than 5% in one month, accumulating for three times. Push strategy: the vehicle owner APP prompts that the health degree of the battery pack can be damaged, and sends out an optional parameter pack, so that the residual electric quantity prompt threshold is improved from 5% to 10%. And if the vehicle owner agrees to issue, issuing a strategy to the BMS through the vehicle networking gateway for execution.
High-frequency high-power quick charge identification: and (3) utilizing the cloud battery charging related data, if the battery pack is charged for a time of more than 10 in 3 months, the high-power fast charging accounts for more than 90%, and the full charging probability is more than 60%. Push strategy: the owner APP prompts that the battery pack health can be compromised, issues an optional parameter pack, adjusts the charging objective to 90% of full charge, and reduces the request current for high power charging to 80%, this strategy being effective in the next 5 consecutive charging cycles. And if the vehicle owner agrees to issue, issuing a strategy to the BMS through the vehicle networking gateway for execution.
Full charge identification at all times: and (3) utilizing the cloud battery charging related data, if the battery pack is charged for more than 10 times in 3 months, the full charge proportion is more than 90%, and the high-power fast charge proportion is more than 60%. Push strategy: the master APP prompts that the battery pack health can be compromised, issues optional parameter packs, adjusts the charge target to 90% of full charge, and reduces the request current for high power charging to 80%, this strategy being effective in the next 5 consecutive charge cycles. And if the vehicle owner agrees to issue, issuing a strategy to the BMS through the vehicle networking gateway for execution.
In step 205, the cloud model outputs maintenance suggestions and policy changes. If the battery health maintenance push standard is met (i.e., one of the four conditions is met), a maintenance suggestion (prompt message) and a policy change (control message) are output.
Step 206, issuing maintenance advice to the owner APP. The prompt message is sent to an owner APP, the owner APP is a preset APP for receiving the prompt message, and when the owner logs in the APP, the prompt message corresponding to the vehicle of the home owner can be received.
Step 207, the owner chooses the tactics to issue. If the vehicle owner accepts the maintenance suggestion, corresponding input is performed, so that the cloud end can receive the control instruction.
Step 208, the policy issues the vehicle end. When the cloud receives the control instruction, the strategy is sent to the BMS through the vehicle-side gateway in a Unified Diagnosis Service (UDS) communication protocol to update the strategy, and the BMS is used for executing the strategy.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
Referring to fig. 3, there is shown a block diagram of an embodiment of a battery data processing apparatus according to the present invention, which may include the following modules:
the data acquisition module 301 acquires battery data of the vehicle;
the information generating module 302 is configured to generate prompt information and control information for the battery data if the battery data meets a preset battery abnormal condition;
the prompt information sending module 303 is configured to send the prompt information to a preset terminal;
A control information sending module 304, configured to send control information to a battery module of the vehicle when receiving a control instruction of the preset terminal for the prompt information; the battery module is used for executing the control information.
In an alternative embodiment of the present invention, the battery data includes feature information and feature parameters corresponding to the feature information;
the battery abnormal condition includes a preset value corresponding to the characteristic information.
In an alternative embodiment of the present invention, the characteristic information includes an environmental characteristic, and the characteristic parameter includes a temperature detection value and a duration corresponding to the environmental characteristic; the preset value comprises a first preset time threshold value and a first preset temperature threshold value which correspond to the ambient temperature; the information generation module 302 includes:
the first prompt information generation sub-module is used for generating prompt information based on the temperature detection value when the temperature detection value is larger than the first preset temperature threshold value and the duration time is larger than the temperature threshold value;
and the first control information generation sub-module is used for generating control information corresponding to the temperature regulating device in the battery module based on the temperature detection value.
In an optional embodiment of the present invention, the characteristic information includes a power consumption characteristic, and the characteristic parameter includes a first frequency of less than a first preset percentage of a remaining power corresponding to the power consumption characteristic; the preset value comprises a preset frequency corresponding to the power consumption characteristic; the information generation module 302 includes:
the second prompt information generation sub-module is used for generating prompt information based on the first frequency when the first frequency is larger than the preset frequency;
the electric quantity percentage adjustment submodule is used for generating a second preset percentage which is larger than the first preset percentage according to the preset difference value;
the second control information generation sub-module is used for generating control information based on the second preset percentage; and the battery module is used for outputting alarm information when detecting that the current residual electric quantity of the battery module is reduced to the second preset percentage.
In an optional embodiment of the present invention, the feature information includes a fast charging feature, and the feature parameter includes a first charging number, a first fast charging number duty ratio, and a first full charging number duty ratio within a first preset time corresponding to the fast charging feature; the preset value comprises a first preset times threshold value, a first preset quick charge proportion and a first preset full charge proportion which correspond to the quick charge characteristic; the information generation module 302 includes:
The third prompt information generation sub-module is used for generating prompt information based on at least one of the first quick charge frequency occupation ratio and the first full charge frequency occupation ratio when the first charge frequency is larger than a first preset frequency threshold value, the first quick charge frequency occupation ratio is larger than a first preset quick charge ratio, and the first full charge frequency occupation ratio is larger than the first preset full charge ratio;
the first charging adjustment information sub-module is used for determining a first target full charge amount percentage smaller than a preset standard full charge amount percentage and a first target quick charge flow smaller than a preset standard quick charge flow;
and the third control information generation sub-module is used for generating control information based on the first target full charge percentage and the first target quick charge current.
In an optional embodiment of the present invention, the feature information includes a full charge feature, and the feature parameter includes a second charge number, a second fast charge number duty ratio, and a second full charge number duty ratio within a second preset time corresponding to the fast charge feature; the preset value comprises a second preset time threshold value, a second preset quick charge proportion and a second preset full charge proportion which correspond to the quick charge characteristic; the information generation module 302 includes:
The fourth prompt information generation sub-module is used for generating prompt information based on at least one of the fast charge frequency occupation ratio and the full charge frequency occupation ratio when the second charge frequency is larger than a second preset frequency threshold value, the fast charge frequency occupation ratio is larger than a second preset fast charge ratio, and the full charge frequency occupation ratio is larger than the second preset full charge ratio;
the second charging adjustment information sub-module is used for determining a second target full charge amount percentage smaller than a preset standard full charge amount percentage and a second target quick charge flow smaller than a preset standard quick charge flow;
and the fourth control information generation sub-module is used for generating control information based on the second target full charge percentage and the second target quick charge current.
In an alternative embodiment of the present invention, the battery module includes a mutual battery management control system BMS and a battery pack;
the battery data is generated by the BMS through detection of the battery assembly;
the BMS is configured to execute the control information.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
The embodiment of the invention also discloses an electronic device, which comprises: a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor, implements the steps of the battery data processing method as described above; the electronic device is a server or a vehicle.
The embodiment of the invention also discloses a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the battery data processing method when being executed by a processor.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has described in detail a battery data processing method and apparatus provided by the present invention, and specific examples have been provided herein to illustrate the principles and embodiments of the present invention, the above examples being provided only to assist in understanding the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (8)
1. A battery data processing method, comprising:
acquiring battery data of a vehicle; the battery data comprises characteristic information and characteristic parameters corresponding to the characteristic information; the characteristic information comprises a quick charging characteristic, and the characteristic parameters comprise a first charging frequency, a first quick charging frequency duty ratio and a first full charging frequency duty ratio in a first preset time corresponding to the quick charging characteristic;
if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data; the prompt information comprises abnormal conditions and a control mode matched with the control information; the battery abnormal condition comprises a preset value corresponding to the characteristic information; the preset value comprises a first preset times threshold value, a first preset quick charge proportion and a first preset full charge proportion which correspond to the quick charge characteristic;
The prompt information is sent to a preset terminal;
when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information; the control information is used for improving the abnormal situation;
the characteristic information further comprises a power consumption characteristic, and the characteristic parameter further comprises a first frequency, corresponding to the power consumption characteristic, of which the residual electric quantity is smaller than a first preset percentage; the preset value comprises a preset frequency corresponding to the power consumption characteristic; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise: generating prompt information based on at least one of the first fast charge frequency ratio and the first full charge frequency ratio when the first charge frequency is greater than a first preset frequency threshold, the first fast charge frequency ratio is greater than a first preset fast charge ratio, and the first full charge frequency ratio is greater than the first preset full charge ratio; determining a first target full charge percentage less than a preset standard full charge percentage, and a first target fast charge current less than a preset standard fast charge current; control information is generated based on the first target full charge percentage and the first target fast charge current.
2. The method of claim 1, wherein the characteristic information further comprises an environmental characteristic, the characteristic parameter further comprising a temperature detection value and a duration corresponding to the environmental characteristic; the preset value further comprises a first preset time threshold value and a first preset temperature threshold value which correspond to the environmental characteristics; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise:
generating prompt information based on the temperature detection value when the temperature detection value is greater than the first preset temperature threshold value and the duration time is greater than the temperature threshold value;
control information corresponding to a temperature adjustment device in the battery module is generated based on the temperature detection value.
3. The method of claim 1, wherein generating the prompt information and the control information for the battery data if the battery data satisfies a preset battery abnormality condition comprises:
generating prompt information based on the first frequency when the first frequency is larger than the preset frequency;
generating a second preset percentage larger than the first preset percentage according to the preset difference value;
Generating control information based on the second preset percentage; and the battery module is used for outputting alarm information when detecting that the current residual electric quantity of the battery module is reduced to the second preset percentage.
4. The method of claim 1, wherein the characteristic information includes a full charge characteristic, and the characteristic parameter includes a second charge number, a second fast charge number duty cycle, and a second full charge number duty cycle for a second preset time corresponding to the full charge characteristic; the preset value comprises a second preset time threshold value, a second preset quick charge proportion and a second preset full charge proportion which correspond to the quick charge characteristic; if the battery data meets a preset battery abnormal condition, generating prompt information and control information aiming at the battery data, wherein the prompt information and the control information comprise:
generating prompt information based on at least one of the second fast charge frequency ratio and the second full charge frequency ratio when the second charge frequency is greater than a second preset frequency threshold, the second fast charge frequency ratio is greater than a second preset fast charge ratio, and the second full charge frequency ratio is greater than the second preset full charge ratio;
determining a second target full charge percentage less than a preset standard full charge percentage, and a second target fast charge current less than a preset standard fast charge current;
Control information is generated based on the second target full charge percentage and the second target fast charge current.
5. The method of claim 1, wherein the battery module comprises a mutual battery management control system BMS and a battery assembly;
the battery data is generated by the BMS through detection of the battery assembly;
the BMS is configured to execute the control information.
6. A battery data processing apparatus, comprising:
acquiring battery data of a vehicle; the battery data comprises characteristic information and characteristic parameters corresponding to the characteristic information; the characteristic information comprises a quick charging characteristic, and the characteristic parameters comprise a first charging frequency, a first quick charging frequency duty ratio and a first full charging frequency duty ratio in a first preset time corresponding to the quick charging characteristic;
if the battery data meets the preset battery abnormal condition, generating prompt information and control information aiming at the battery data; the prompt information comprises abnormal conditions and a control mode matched with the control information; the battery abnormal condition comprises a preset value corresponding to the characteristic information; the preset value comprises a first preset times threshold value, a first preset quick charge proportion and a first preset full charge proportion which correspond to the quick charge characteristic;
The prompt information is sent to a preset terminal;
when a control instruction of the preset terminal aiming at the prompt information is received, the control information is sent to a battery module of the vehicle; the battery module is used for executing the control information; the control information is used for improving the abnormal situation;
the characteristic information further comprises a power consumption characteristic, and the characteristic parameter further comprises a first frequency, corresponding to the power consumption characteristic, of which the residual electric quantity is smaller than a first preset percentage; the preset value comprises a preset frequency corresponding to the power consumption characteristic;
the information generation module comprises:
the third prompt information generation sub-module is used for generating prompt information based on at least one of the first quick charge frequency occupation ratio and the first full charge frequency occupation ratio when the first charge frequency is larger than a first preset frequency threshold value, the first quick charge frequency occupation ratio is larger than a first preset quick charge ratio, and the first full charge frequency occupation ratio is larger than the first preset full charge ratio;
the first charging adjustment information sub-module is used for determining a first target full charge amount percentage smaller than a preset standard full charge amount percentage and a first target quick charge flow smaller than a preset standard quick charge flow;
And the third control information generation sub-module is used for generating control information based on the first target full charge percentage and the first target quick charge current.
7. An electronic device, comprising: a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor performs the steps of the battery data processing method according to any one of claims 1-5;
the electronic device is a server or a vehicle.
8. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the battery data processing method according to any one of claims 1 to 5.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107565639A (en) * | 2017-09-15 | 2018-01-09 | 维沃移动通信有限公司 | A kind of charging reminding method and mobile terminal |
CN110008235A (en) * | 2019-04-15 | 2019-07-12 | 优必爱信息技术(北京)有限公司 | Power battery health degree evaluation method, apparatus and system |
CN111025159A (en) * | 2019-11-29 | 2020-04-17 | 深圳猛犸电动科技有限公司 | Method and device for detecting abnormality of electric vehicle battery, intelligent device and storage medium |
CN111308357A (en) * | 2020-04-01 | 2020-06-19 | 一汽解放汽车有限公司 | Battery capacity estimation method, battery management system, vehicle, and storage medium |
CN111890958A (en) * | 2020-07-10 | 2020-11-06 | 广州小鹏汽车制造有限公司 | Vehicle charging method and device, battery management system and vehicle |
CN112297950A (en) * | 2020-11-09 | 2021-02-02 | 中国第一汽车股份有限公司 | Charging and discharging human-computer interaction control method and device, vehicle and storage medium |
CN112362983A (en) * | 2020-10-10 | 2021-02-12 | 东风时代(武汉)电池系统有限公司 | Battery management system diagnosis method, upper computer and system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110082621A1 (en) * | 2009-10-02 | 2011-04-07 | Eric Berkobin | Method and system for predicting battery life based on vehicle battery, usage, and environmental data |
-
2021
- 2021-10-18 CN CN202111211514.8A patent/CN113799650B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107565639A (en) * | 2017-09-15 | 2018-01-09 | 维沃移动通信有限公司 | A kind of charging reminding method and mobile terminal |
CN110008235A (en) * | 2019-04-15 | 2019-07-12 | 优必爱信息技术(北京)有限公司 | Power battery health degree evaluation method, apparatus and system |
CN111025159A (en) * | 2019-11-29 | 2020-04-17 | 深圳猛犸电动科技有限公司 | Method and device for detecting abnormality of electric vehicle battery, intelligent device and storage medium |
CN111308357A (en) * | 2020-04-01 | 2020-06-19 | 一汽解放汽车有限公司 | Battery capacity estimation method, battery management system, vehicle, and storage medium |
CN111890958A (en) * | 2020-07-10 | 2020-11-06 | 广州小鹏汽车制造有限公司 | Vehicle charging method and device, battery management system and vehicle |
CN112362983A (en) * | 2020-10-10 | 2021-02-12 | 东风时代(武汉)电池系统有限公司 | Battery management system diagnosis method, upper computer and system |
CN112297950A (en) * | 2020-11-09 | 2021-02-02 | 中国第一汽车股份有限公司 | Charging and discharging human-computer interaction control method and device, vehicle and storage medium |
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