CN117465222B - Fault early warning method and fault early warning system of power battery - Google Patents
Fault early warning method and fault early warning system of power battery Download PDFInfo
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- CN117465222B CN117465222B CN202311795399.2A CN202311795399A CN117465222B CN 117465222 B CN117465222 B CN 117465222B CN 202311795399 A CN202311795399 A CN 202311795399A CN 117465222 B CN117465222 B CN 117465222B
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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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- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application provides a power battery fault early warning method and a power battery fault early warning system, wherein the power battery fault early warning method is applied to a cloud, and comprises the following steps: acquiring battery core detection data of a power battery of a target vehicle and rated parameters of the power battery, and performing first fault judgment; based on the first fault judgment result, load state information is obtained; and judging the small-current over-discharge fault according to the load state information so as to generate an early warning result. According to the fault early warning method, the fault early warning device and the storage medium for the power battery, which are provided by the application, the discharge condition of the battery is monitored in real time, the overdischarge of the battery is avoided, the safety performance and the service life of the battery are ensured, and therefore the cost loss caused by overdischarge due to small-current discharge is avoided, and the user experience is improved.
Description
Technical Field
The application relates to the technical field of power batteries, in particular to a fault early warning method and a fault early warning system of a power battery.
Background
Currently, electric vehicles have become one of the mainstream vehicles, and the safety and life problems of power batteries thereof have become the focus of attention of vehicle manufacturers and battery manufacturers. In the actual use process, when the vehicle stands still and has no speed, the vehicle owner turns on part of the vehicle-mounted functions, and the power battery always has a small current discharging process, so that the power battery is over-discharged.
In the research process of conception and formation of the application, the applicant finds at least the following problems, along with the complexity of the functions of the vehicle products, for the current industry, as the accuracy problem of the current sensor of the power management system (BMS) of the vehicle cannot detect the existence of small current, under the condition of long-term small current discharge, the SOC state cannot be accurately estimated, a certain electric core in the power battery is over-discharged to under-voltage, the battery pack cannot be charged and charged for energy supplement, so that unpacking is needed for supplying electricity to the under-voltage electric core or replacing a module, the product maintenance cost is high, and great economic loss is caused.
Disclosure of Invention
In order to alleviate the above problems, the present application provides a power battery fault early warning method, which is applied to a cloud, and the power battery fault early warning method includes:
acquiring battery core detection data of a power battery of a target vehicle and rated parameters of the power battery, and performing first fault judgment;
based on the first fault judgment result, load state information is obtained;
and judging the small-current over-discharge fault according to the load state information so as to generate an early warning result.
Optionally, acquiring battery core detection data of a power battery of the target vehicle and rated parameters of the power battery; before the step of performing the first fault judgment, the method further comprises the step of verifying that the power battery is not in a fault state; and/or verifying whether the target vehicle speed is zero; and/or checking whether the ambient temperature of the power battery is in a preset temperature interval.
Optionally, the nominal parameter comprises an alarm voltage threshold and/or an alarm current threshold.
Optionally, the cell detection data includes a lowest cell voltage and a present current;
the method comprises the steps of obtaining battery core detection data of a power battery of a target vehicle and rated parameters of the power battery; the first fault judgment process comprises the following steps:
if the lowest cell voltage of the power battery is lower than the alarm voltage threshold and is greater than a preset voltage threshold, acquiring the current of the power battery;
and if the current of the power battery is smaller than the alarm current threshold and larger than a preset current threshold, generating the first fault judgment result.
Optionally, in the process of performing the low-current over-discharge fault judgment according to the load state information to generate the early warning result, the method further includes detecting that the target vehicle has a low-current load working state, and generating the low-current over-discharge fault early warning information when the low-current load working state lasts for a preset time.
Optionally, the step of performing the fault judgment of the low-current overdischarge according to the load state information to generate the early warning result includes:
sending the early warning result to a vehicle end and/or a user terminal associated with the target vehicle to remind a user to perform power-up operation on a power battery of the target vehicle; and/or the number of the groups of groups,
and sending the early warning result to an after-sales maintenance platform so that the after-sales maintenance platform performs power supplementing operation for the power battery of the target vehicle.
The application also provides a fault early warning system, which comprises a power battery management device, a vehicle-mounted terminal and a cloud;
the power battery management device is used for detecting and sending battery core detection data of the power battery of the target vehicle to the cloud;
the vehicle-mounted terminal is used for collecting and sending load state information to the cloud;
the cloud end is used for judging the small-current over-discharge faults according to rated parameters of the power battery, the battery cell detection data and the load state information so as to generate an early warning result.
Optionally, the vehicle-mounted terminal is further configured to detect and send vehicle speed information to the cloud, so that the cloud performs small-current overdischarge fault judgment under the condition that the vehicle speed is zero;
and/or the number of the groups of groups,
the vehicle-mounted terminal is also used for detecting and sending the ambient temperature of the power battery to the cloud end so that the cloud end can judge the low-current overdischarge faults under the condition that the ambient temperature is in a preset temperature range.
Optionally, the battery cell detection data comprises a lowest battery cell voltage and a current, and the rated parameter comprises an alarm voltage threshold value and/or an alarm current threshold value; the cloud terminal judges the small-current over-discharge fault when comparing that the lowest cell voltage of the power battery is lower than an alarm voltage threshold and is larger than a preset voltage threshold and the current of the power battery is smaller than an alarm current threshold and is larger than a preset current threshold;
and/or the number of the groups of groups,
and the cloud end generates small-current over-discharge fault early warning information when the small-current load working state lasts for a preset time.
Optionally, the cloud end is further configured to send the early warning result to a vehicle end and/or a user terminal associated with the target vehicle, so as to remind a user to perform power supply operation on a power battery of the target vehicle; and/or the number of the groups of groups,
the cloud end is further used for sending the early warning result to an after-sales maintenance platform so that the after-sales maintenance platform can conduct electricity supplementing operation for the power battery of the target vehicle.
According to the fault early-warning method and the fault early-warning system for the power battery, the cloud side carries out first fault judgment by acquiring the battery core detection data of the power battery of the target vehicle and the rated parameters of the power battery; based on the first fault judgment result, load state information is obtained; and judging the small-current over-discharge fault according to the load state information so as to generate an early warning result. The method and the device realize real-time monitoring of the discharge condition of the battery, avoid overdischarge of the battery, ensure the safety performance and the service life of the battery, thereby avoiding the cost loss caused by overdischarge due to low-current discharge and improving the user experience.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a flowchart of a power battery fault early warning method according to an embodiment of the present application.
Fig. 2 is a fault early warning system according to an embodiment of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings. Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, the element defined by the phrase "comprising one … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element, and furthermore, elements having the same name in different embodiments of the present application may have the same meaning or may have different meanings, a particular meaning of which is to be determined by its interpretation in this particular embodiment or by further combining the context of this particular embodiment.
In the present embodiments, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
Furthermore, in the embodiments of the present application, the terms "upper," "lower," "left," and "right," etc., are defined with respect to the orientation in which the components in the drawings are schematically disposed, and it should be understood that these directional terms are relative terms, which are used for descriptive and clarity with respect to each other, and which may vary accordingly with respect to the orientation in which the components in the drawings are disposed.
In the embodiments herein, unless explicitly specified and limited otherwise, the term "connected" is to be construed broadly, and for example, "connected" may be either a fixed connection, a removable connection, or an integral body; can be directly connected or indirectly connected through an intermediate medium.
In the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
First embodiment
In one aspect, the present application provides a power battery fault early warning method, and fig. 1 is a flowchart of a power battery fault early warning method according to an embodiment of the present application.
As shown in fig. 1, in an embodiment, the power battery fault early warning method includes:
s10: and acquiring battery core detection data of a power battery of the target vehicle and rated parameters of the power battery, and performing first fault judgment.
The power battery carried by the electric vehicle is provided with a plurality of real-time sensing devices, and the sensing devices can monitor various data of the power battery in real time so as to monitor the battery state. The vehicle power management system BMS (battery management system, power management system) is an essential component of an electric vehicle, and is a hub for managing and monitoring power batteries, managing, maintaining and monitoring various modules of the batteries, and taking care of preventing the batteries from being overcharged and overdischarged, prolonging the service lives of the batteries and helping the batteries to run normally. The electric bicycle is an important tie for connecting a vehicle-mounted battery and an electric bicycle, and the main functions of the electric bicycle include: battery physical parameter real-time monitoring, battery state estimation, on-line diagnosis and early warning, charge-discharge and pre-charge control balance management, thermal management and the like. The BMS power management system is commonly called as a battery nurse or a battery manager, and is mainly used for intelligently managing and maintaining each battery unit, monitoring the state of the battery, and preventing the battery from being overcharged and overdischarged so as to prolong the service life of the battery. BMS power management system unit includes BMS power management system, control module, display module, wireless communication module, electrical equipment, be used for the group battery of electrical equipment power supply and be used for gathering the collection module of group battery cell information, BMS power management system passes through communication interface and is connected with wireless communication module and display module respectively, the output of collection module is connected with BMS power management system's input, BMS power management system's output is connected with control module's input, control module is connected with group battery and electrical equipment respectively, BMS power management system can be connected with high in the clouds server through wireless communication module. The cloud server can be a power battery big data analysis platform.
Illustratively, the BMS system transmits data from the data buffer to the target device or system via a selected communication scheme. The signal that this application was collected BMS is uploaded big data platform in real time, supplies the platform analysis. Aiming at the analysis of the low-current overdischarge, the platform needs to acquire real-time parameters such as the speed, the battery voltage, the battery current and the like of the vehicle, and can perform fault judgment on the battery which is not in a fault state. The judgment of exiting the fault can be directly performed on the battery in the fault state. For example, in the process of performing the first fault determination, when the detected cell detection data exceeds the normal rated parameter, it means that there may be a problem in the use of the power battery.
S20: and acquiring load state information based on the first fault judgment result.
For example, when the vehicle cell voltage is found to be relatively low in the first failure determination process, it is possible to detect whether the vehicle has a small current load in the second failure determination process.
S30: and judging the small-current over-discharge fault according to the load state information so as to generate an early warning result.
For example, if it is determined that the vehicle has a low current load condition beyond a preset period of time, it may be determined that the power battery has a low current over-discharge condition.
In the embodiment, the rated parameters of the power battery of the target vehicle are acquired by responding to the acquisition of the cell detection data of the power battery; performing first fault judgment according to the battery cell detection data and the rated parameters; and based on the first fault judgment result, acquiring load state information to perform second fault judgment, and generating an early warning result. The method can realize real-time monitoring of the discharge condition of the battery, avoid overdischarge of the battery, ensure the safety performance and service life of the battery, thereby avoiding the cost loss caused by overdischarge due to low-current discharge and improving the user experience.
Optionally, before the step of obtaining the cell detection data of the power battery of the target vehicle and the rated parameter of the power battery and performing the first fault judgment, the method further includes verifying that the power battery is not in a fault state.
For example, a battery that is not in a fault state may be subjected to fault determination. The judgment of exiting the fault can be directly performed on the battery in the fault state. For example, if the lowest cell voltage in the battery pack is higher than the set alarm threshold +0.5v and the duration is longer than the set threshold, the fault state is exited, and the alarm of the battery pack is ended.
Optionally, before the step of obtaining the cell detection data of the power battery of the target vehicle and the rated parameter of the power battery and performing the first fault judgment, the method further includes checking whether the speed of the target vehicle is zero.
In an exemplary process of judging that the vehicle has small current overdischarge, the power working current condition of the power battery in the running process of the vehicle is firstly eliminated. Optionally, whether the vehicle speed is 0 is judged first, and if not, the fault detection process is directly skipped.
Optionally, before the step of obtaining the cell detection data of the power battery of the target vehicle and the rated parameter of the power battery and performing the first fault judgment, the method further includes checking that the ambient temperature of the power battery is in a preset temperature interval.
Illustratively, the power cells need to operate properly in a suitable temperature environment. The power battery of the target vehicle has an over-temperature protection function, so that multiple protection measures are provided for the target vehicle, and the safety performance and the service life of the power battery can be effectively ensured.
Optionally, the rated parameter includes an alarm voltage threshold and/or an alarm current threshold; and in the process of responding to the acquisition of the battery core detection data of the power battery, acquiring the alarm voltage threshold value and/or the alarm current threshold value of the power battery in the process of acquiring the rated parameters of the power battery.
Illustratively, the main performances of the power battery include basic indexes such as rated capacity, rated voltage, charge-discharge rate, impedance, service life and self-discharge rate. Optionally, parameter information such as an alarm voltage threshold value, an alarm current threshold value and the like required by an algorithm is obtained from an algorithm parameter table according to the input battery pack model information.
Optionally, the cell detection data includes a minimum cell voltage and a present current. The process of obtaining the battery core detection data of the power battery of the target vehicle and the rated parameter of the power battery and performing the first fault judgment comprises the following steps:
if the lowest cell voltage of the power battery is lower than the alarm voltage threshold and is greater than a preset voltage threshold, acquiring the current of the power battery;
and if the current of the power battery is smaller than the alarm current threshold and larger than a preset current threshold, generating the first fault judgment result.
For example, if the lowest cell voltage in the battery pack is lower than the set threshold and greater than 1, and the current is lower than the set threshold and greater than 0, and the duration is greater than the set threshold, the target vehicle may have a low-current overdischarge condition, and thus a timely fault confirmation and warning is required.
Optionally, if the lowest cell voltage of the power battery is lower than the alarm voltage threshold and is greater than a preset voltage threshold, filtering and cleaning the cell detection data before the step of obtaining the current of the power battery.
The small current is collected and recorded in real time in the power battery big data analysis platform, and meanwhile, filtering processing is carried out, so that interference of noise signals is eliminated, and more accurate small current data are obtained. The big data platform cleans the data through a flink (stream processing computing framework), the flink is a distributed, high-performance, ready-to-use and accurate stream processing computing framework, each piece of data has different threshold ranges and standard conditions, and when the piece of data does not accord with the actual reasonable range, the data is judged to be false-report, and the data is cleaned.
Optionally, in the process of performing the low-current over-discharge fault judgment according to the load state information to generate the early warning result, the method further includes detecting that the target vehicle has a low-current load working state, and generating the low-current over-discharge fault early warning information when the low-current load working state lasts for a preset time.
By way of example, by the load detection module in the target vehicle BMS, whether the target vehicle has a small current load such as an air conditioner, a lamp, or the like is detected in real time, and the load state is recorded. And the power battery big data analysis platform monitors the discharging condition of the power battery in real time through a data analysis algorithm and judges whether the power battery has a long-time small-current discharging phenomenon or not. When the lowest cell voltage in the battery pack is lower than the set threshold value and reaches the set standard, and meanwhile, a small current load exists, the situation that the power battery has a small current overdischarge can be judged.
Optionally, the step of performing the fault judgment of the low-current overdischarge according to the load state information to generate the early warning result includes:
and sending the early warning result to a vehicle end and/or a user terminal associated with the target vehicle to remind a user to perform power supplementing operation on a power battery of the target vehicle.
If the power battery is found to have a long-time small-current discharge phenomenon, the current can be output only because the current charger needs to deactivate the charger by the voltage of the storage battery when in operation. In view of the fact that the battery cannot be charged when the battery deficiency voltage is lower than the activation value, the mechanically adjustable battery is needed to repair the charger for charging, and then the charger can be used for charging. When the target vehicle is in the above condition, the big data platform transmits fault data to the cloud alarm system, and the corresponding user is reminded through the application program APP and the vehicle end big screen, so that the power battery of the target vehicle is informed of small current overdischarge, and power supplementing operation is needed, so that the problems that the battery is undervoltage caused by overdischarge of the power battery and the battery pack cannot be charged due to undervoltage are avoided, and the safety performance and the service life of the power battery are ensured.
Optionally, the step of performing the fault judgment of the low-current overdischarge according to the load state information to generate the early warning result includes:
and sending the early warning result to an after-sales maintenance platform so that the after-sales maintenance platform performs power supplementing operation for the power battery of the target vehicle.
If the battery is found to have a long-time small-current discharge phenomenon, the current can be output only because the current charger needs to deactivate the battery voltage when in operation. When the battery power shortage voltage is lower than the activation value, the battery cannot be charged, and the mechanically adjustable battery is required to repair the charger for charging, and then the charger can be used for charging. When the situation occurs, the big data platform can transmit fault data to the cloud alarm system, after-sales departments of the direct-camping shops corresponding to the target vehicles also receive the small-current alarm information transmitted by the big data platform through the maintenance platform, know that the target vehicles need to be subjected to power supplementing operation, can reserve a user to enter the shops to supplement power for the power battery, avoid the problem that the battery pack cannot be charged due to undervoltage caused by overdischarge of the power battery, and ensure the safety performance and service life of the power battery.
Second embodiment
The application further provides a fault early warning system, and fig. 2 is a fault early warning system according to an embodiment of the application.
As shown in fig. 2, in an embodiment, a target vehicle CR and a cloud CD are connected to each other, and the target vehicle CR is provided with a power battery management device BM, an on-vehicle terminal VT, and a power battery BT. The fault early warning system comprises a power battery management device BM, a vehicle-mounted terminal VT and a cloud CD.
The power battery management device BM is configured to detect and send the battery cell detection data of the power battery BT of the target vehicle CR to the cloud CD.
The power battery management device BM may be a vehicle power management system BMS (battery management system), and the BMs is an essential component of an electric vehicle, and is a hub for managing and monitoring the power battery. Illustratively, the BMS transmits data from the data buffer to the target device or system through a selected communication scheme. The signal that this application was collected BMS is uploaded big data platform in real time, supplies high in the clouds CD platform analysis.
The vehicle-mounted terminal VT is used for collecting and sending load state information to the cloud CD.
For example, whether or not the target vehicle has a small current load may be detected by the in-vehicle terminal during the failure determination.
The cloud CD is used for judging the small-current over-discharge faults according to rated parameters of the power battery BT, the battery cell detection data and the load state information so as to generate an early warning result.
For example, when the detected cell detection data is outside of normal rated parameters, this means that there may be a problem in the use of the power cell. If the fact that the small current load condition of the vehicle exceeds the preset duration is confirmed, the cloud can determine that the small current overdischarge condition of the power battery exists.
In the embodiment, the rated parameters of the power battery of the target vehicle are acquired by responding to the acquisition of the cell detection data of the power battery; performing first fault judgment according to the battery cell detection data and the rated parameters; and based on the first fault judgment result, acquiring load state information to perform second fault judgment, and generating an early warning result. The method can realize real-time monitoring of the discharge condition of the battery, avoid overdischarge of the battery, ensure the safety performance and service life of the battery, thereby avoiding the cost loss caused by overdischarge due to low-current discharge and improving the user experience.
Optionally, the vehicle-mounted terminal VT is further configured to detect and send vehicle speed information to the cloud CD, so that the cloud CD performs a small-current over-discharge fault judgment under the condition that the target vehicle CR speed is zero.
In an exemplary process of judging that the vehicle has small current overdischarge, the power working current condition of the power battery in the running process of the vehicle is firstly eliminated. Optionally, whether the vehicle speed is 0 is judged first, and if not, the fault detection process is directly skipped.
Optionally, the vehicle-mounted terminal VT is further configured to detect and send an ambient temperature of the power battery BT to the cloud CD, so that the cloud CD performs a small-current overdischarge fault judgment when the ambient temperature is in a preset temperature interval.
Illustratively, the power cells need to operate properly in a suitable temperature environment. The power battery of the target vehicle has an over-temperature protection function, so that multiple protection measures are provided for the target vehicle, and the safety performance and the service life of the power battery can be effectively ensured.
Optionally, the battery cell detection data includes a lowest battery cell voltage and a present current, and the rated parameter includes an alarm voltage threshold and/or an alarm current threshold. And the cloud CD judges the small-current over-discharge fault when comparing that the lowest cell voltage of the power battery BT is lower than an alarm voltage threshold and is greater than a preset voltage threshold and the current of the power battery BT is smaller than an alarm current threshold and is greater than a preset current threshold.
For example, if the lowest cell voltage in the battery pack is lower than the set threshold and greater than 1, and the current is lower than the set threshold and greater than 0, and the duration is greater than the set threshold, the target vehicle may have a low-current overdischarge condition, and thus a timely fault confirmation and warning is required.
Optionally, the cloud CD generates the low-current overdischarge fault early warning information when the low-current load working state lasts for a preset period of time.
By way of example, by the load detection module in the target vehicle BMS, whether the target vehicle has a small current load such as an air conditioner, a lamp, or the like is detected in real time, and the load state is recorded. And the power battery big data analysis platform monitors the discharging condition of the power battery in real time through a data analysis algorithm and judges whether the power battery has a long-time small-current discharging phenomenon or not. When the lowest cell voltage in the battery pack is lower than the set threshold value and reaches the set standard, and meanwhile, a small current load exists, the situation that the power battery has a small current overdischarge can be judged.
Optionally, the cloud end is further configured to send the early warning result to a vehicle end and/or a user terminal associated with the target vehicle, so as to remind a user to perform power supply operation on the power battery of the target vehicle.
For example, if a power battery is found to have a long-time low-current discharge phenomenon, the current is output because the current charger requires a battery voltage to deactivate the charger when operating. In view of the fact that the battery cannot be charged when the battery deficiency voltage is lower than the activation value, the mechanically adjustable battery is needed to repair the charger for charging, and then the charger can be used for charging. When the target vehicle is in the above condition, the big data platform transmits fault data to the cloud alarm system, and the corresponding user is reminded through the application program APP and the vehicle end big screen, so that the power battery of the target vehicle is informed of small current overdischarge, and power supplementing operation is needed, so that the problems that the battery is undervoltage caused by overdischarge of the power battery and the battery pack cannot be charged due to undervoltage are avoided, and the safety performance and the service life of the power battery are ensured.
Optionally, the cloud end is further configured to send the early warning result to an after-sales maintenance platform, so that the after-sales maintenance platform performs an electricity supplementing operation for the power battery of the target vehicle.
For example, if a battery is found to have a long-time low-current discharge, the current is output because the current charger requires a battery voltage to deactivate the charger when operating. When the battery power shortage voltage is lower than the activation value, the battery cannot be charged, and the mechanically adjustable battery is required to repair the charger for charging, and then the charger can be used for charging. When the situation occurs, the big data platform can transmit fault data to the cloud alarm system, after-sales departments of the direct-camping shops corresponding to the target vehicles also receive the small-current alarm information transmitted by the big data platform through the maintenance platform, know that the target vehicles need to be subjected to power supplementing operation, can reserve a user to enter the shops to supplement power for the power battery, avoid the problem that the battery pack cannot be charged due to undervoltage caused by overdischarge of the power battery, and ensure the safety performance and service life of the power battery.
Third embodiment
The application also provides a fault early warning device, the fault early warning device includes interconnect's treater and storage medium, wherein:
the storage medium is used for storing a computer program; the processor is used for reading the computer program and running the computer program to realize the fault early warning method of the power battery.
For example, the power battery mounted on the new energy vehicle has a great number of real-time sensing devices, and the sensing devices can monitor various data of the power battery in real time to realize the monitoring of the battery state. The BMS system monitors and collects various parameters of the battery pack in real time through the sensing device, including voltage, current, temperature and the like. The collected data are stored in a data buffer area of the BMS system after being sampled and converted.
The BMS system transmits data from the data buffer to the target device or system through a selected communication mode. The signal that this application was collected BMS is uploaded big data platform in real time, supplies the platform analysis. Aiming at the analysis of the low-current overdischarge, the platform needs to acquire real-time parameters such as the speed, the battery voltage, the battery current and the like of the vehicle.
The fault early warning device can obtain parameter information such as warning voltage, current threshold value and the like required by the algorithm from the algorithm parameter table according to the input battery pack model information. The fault early warning device can perform relevant processing according to the following steps.
1. Obtaining battery original data to be calculated
2. Judging whether the vehicle speed is 0 or not, if not, directly jumping out to give an alarm
3. And (3) performing fault judgment on the battery which is not in a fault state, if the lowest cell voltage in the battery pack is lower than a set threshold and is greater than 1, and the current is smaller than the set threshold and is greater than 0, and the duration is greater than the set threshold, performing fault alarm, wherein the fault name is a low-current discharge undervoltage fault, and the fault is attributed to the fact that the vehicle is in a low-current discharge state.
4. Judging that the battery in the fault state exits the fault, if the lowest cell voltage in the battery pack is higher than the set alarm threshold +0.5V and the duration is longer than the set threshold, exiting the fault state, ending the alarm of the battery pack
5. And through a load detection module in the vehicle BMS, detecting whether the vehicle has a small current load, such as an air conditioner, a lamplight and the like, in real time, and recording the load state.
6. When the lowest cell voltage in the battery pack is lower than the set threshold value and reaches the set standard, and meanwhile, a small current load exists, the situation that the battery has a small current overdischarge can be judged.
The fault early warning device monitors the discharge condition of the battery in real time through a data analysis algorithm and judges whether the battery has a long-time small-current discharge phenomenon or not.
If the fault early warning device finds that the battery has a long-time small-current discharge phenomenon, the current can be output only as the battery voltage is needed to deactivate the charger when the current charger works. When the battery power shortage voltage is lower than the activation value, the battery cannot be charged, and the mechanically adjustable battery is required to repair the charger for charging, and then the charger can be used for charging. When the situation occurs, the big data platform can transmit fault data to the cloud alarm system, and the user is reminded through the APP and the large vehicle end screen, so that the user is informed of the occurrence of small-current overdischarge of the battery, and the power supplementing operation is needed. Meanwhile, after-sales departments of the direct-camping shops also receive the small-current alarm information transmitted by the large-data platform through the maintenance platform, know that the vehicle needs to be subjected to electricity supplementing operation, can reserve customers to enter the shops to supplement electricity to the batteries, avoid the problem that the battery pack cannot be charged due to undervoltage caused by overdischarge of the batteries, and ensure the safety performance and service life of the batteries.
The fault early warning device of the embodiment monitors and manages the small current in real time through the power battery big data analysis platform, can effectively ensure the safety performance and the service life of the battery, reduces the risk of the battery failing, and provides support for the development of the fields of electric automobiles and the like.
The specific implementation method is that the small current is collected and recorded in real time in the power battery big data analysis platform, and meanwhile, the filtering processing is carried out, the interference of noise signals is eliminated, and more accurate small current data are obtained.
And detecting whether the vehicle has a small current load in real time through a load detection module in the BMS of the vehicle, and recording the load state.
And judging whether the current battery has an overdischarge condition or not through analysis of the small current data and the load state. When the voltage of the battery is lower than a set threshold value and a small current load exists, the over-discharge condition of the battery can be judged.
When the over-discharge condition of the battery is monitored, alarm information is timely sent to maintenance personnel, and quick response and processing are realized. Meanwhile, by continuously optimizing a system algorithm and a data model, the monitoring precision and accuracy of the system can be further improved, and a firmer technical support is provided for the development of the fields of electric automobiles and the like.
Fourth embodiment
The present application also provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the power cell failure warning method as described above.
According to the fault early-warning method, the fault early-warning device and the storage medium for the power battery, the rated parameters of the power battery are obtained by responding to the obtained cell detection data of the power battery of the target vehicle; performing first fault judgment according to the battery cell detection data and the rated parameters; and based on the first fault judgment result, acquiring load state information to perform second fault judgment, and generating an early warning result. The method and the device realize real-time monitoring of the discharge condition of the battery, avoid overdischarge of the battery, ensure the safety performance and the service life of the battery, thereby avoiding the cost loss caused by overdischarge due to low-current discharge and improving the user experience.
It can be understood that the above scenario is merely an example, and does not constitute a limitation on the application scenario of the technical solution provided in the embodiments of the present application, and the technical solution of the present application may also be applied to other scenarios. For example, as one of ordinary skill in the art can know, with the evolution of the system architecture and the appearance of new service scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.
The units in the device of the embodiment of the application can be combined, divided and pruned according to actual needs.
In this application, the same or similar term concept, technical solution, and/or application scenario description will generally be described in detail only when first appearing, and when repeated later, for brevity, will not generally be repeated, and when understanding the content of the technical solution of the present application, etc., reference may be made to the previous related detailed description thereof for the same or similar term concept, technical solution, and/or application scenario description, etc., which are not described in detail later.
In this application, the descriptions of the embodiments are focused on, and the details or descriptions of one embodiment may be found in the related descriptions of other embodiments.
The technical features of the technical solutions of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (4)
1. The utility model provides a power battery's trouble early warning method which characterized in that is applied to the high in the clouds, includes:
acquiring battery core detection data of a power battery of a target vehicle and rated parameters of the power battery, and performing first fault judgment;
based on the first fault judgment result, load state information is obtained;
according to the load state information, carrying out small-current over-discharge fault judgment to generate an early warning result;
the rated parameters comprise an alarm voltage threshold value and/or an alarm current threshold value;
the battery cell detection data comprise the lowest battery cell voltage and the current;
the method comprises the steps of obtaining battery core detection data of a power battery of a target vehicle and rated parameters of the power battery; the first fault judgment process comprises the following steps:
if the lowest cell voltage of the power battery is lower than the alarm voltage threshold and is greater than a preset voltage threshold, acquiring the current of the power battery;
if the current of the power battery is smaller than the alarm current threshold and larger than a preset current threshold, generating the first fault judgment result;
the small-current overdischarge fault judgment is carried out according to the load state information, and in the process of generating an early warning result, the small-current overdischarge fault judgment method further comprises the step of detecting that a small-current load working state exists in the target vehicle, and when the small-current load working state lasts for a preset time period, small-current overdischarge fault early warning information is generated;
and according to the load state information, judging the small-current over-discharge fault to generate an early warning result, wherein the early warning result comprises the following steps:
sending the early warning result to a vehicle end and/or a user terminal associated with the target vehicle to remind a user to perform power-up operation on a power battery of the target vehicle; and/or the number of the groups of groups,
and sending the early warning result to an after-sales maintenance platform so that the after-sales maintenance platform performs power supplementing operation for the power battery of the target vehicle.
2. The power battery fault pre-warning method according to claim 1, wherein the acquiring of the battery cell detection data of the power battery of the target vehicle and the rated parameter of the power battery; before the step of performing the first fault judgment, the method further comprises the step of verifying that the power battery is not in a fault state; and/or verifying whether the target vehicle speed is zero; and/or checking whether the ambient temperature of the power battery is in a preset temperature interval.
3. The fault early warning system is characterized by comprising a power battery management device, a vehicle-mounted terminal and a cloud;
the power battery management device is used for detecting and sending battery core detection data of the power battery of the target vehicle to the cloud;
the vehicle-mounted terminal is used for collecting and sending load state information to the cloud;
the cloud end is used for judging the small-current over-discharge faults according to rated parameters of the power battery, the battery cell detection data and the load state information so as to generate an early warning result;
the battery cell detection data comprise the lowest battery cell voltage and the current, and the rated parameters comprise an alarm voltage threshold value and/or an alarm current threshold value; the cloud terminal judges the small-current over-discharge fault when comparing that the lowest cell voltage of the power battery is lower than the alarm voltage threshold and is larger than a preset voltage threshold and the current of the power battery is smaller than the alarm current threshold and is larger than the preset current threshold;
the cloud generates small-current over-discharge fault early warning information when the small-current load working state lasts for a preset period of time;
the cloud end is further used for sending the early warning result to a vehicle end and/or a user terminal associated with the target vehicle to remind a user of carrying out power supply operation on a power battery of the target vehicle; and/or the cloud end is further used for sending the early warning result to an after-sales maintenance platform so that the after-sales maintenance platform can perform power supply operation for the power battery of the target vehicle.
4. The fault early warning system according to claim 3, wherein the vehicle-mounted terminal is further configured to detect and send vehicle speed information to the cloud end, so that the cloud end performs low-current over-discharge fault judgment under the condition that the vehicle speed is zero;
and/or the number of the groups of groups,
the vehicle-mounted terminal is also used for detecting and sending the ambient temperature of the power battery to the cloud end so that the cloud end can judge the low-current overdischarge faults under the condition that the ambient temperature is in a preset temperature range.
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