CN116953534A - Vehicle-mounted storage battery failure judging method and device - Google Patents
Vehicle-mounted storage battery failure judging method and device Download PDFInfo
- Publication number
- CN116953534A CN116953534A CN202310931507.8A CN202310931507A CN116953534A CN 116953534 A CN116953534 A CN 116953534A CN 202310931507 A CN202310931507 A CN 202310931507A CN 116953534 A CN116953534 A CN 116953534A
- Authority
- CN
- China
- Prior art keywords
- storage battery
- failure
- fault
- characteristic information
- battery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 208000032953 Device battery issue Diseases 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 50
- 238000010276 construction Methods 0.000 claims description 20
- 238000012360 testing method Methods 0.000 claims description 13
- 238000012423 maintenance Methods 0.000 abstract description 16
- 239000002253 acid Substances 0.000 description 11
- 238000001514 detection method Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000007599 discharging Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 239000002243 precursor Substances 0.000 description 2
- 239000013543 active substance Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000019635 sulfation Effects 0.000 description 1
- 238000005670 sulfation reaction Methods 0.000 description 1
- 230000008961 swelling Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
-
- 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
- G01R31/005—Testing of electric installations on transport means
- G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
-
- 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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- 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]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
- G01R31/379—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Secondary Cells (AREA)
- Tests Of Electric Status Of Batteries (AREA)
Abstract
The application relates to a vehicle-mounted storage battery failure judging method and device, and relates to the technical field of vehicle monitoring, wherein the method comprises the following steps: monitoring a target storage battery to obtain characteristic information of the monitoring storage battery; comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models respectively corresponding to different fault failure types; and acquiring a failure analysis model matched with the characteristic information of the monitored storage battery, and judging the failure type of the target storage battery. According to the application, the working condition of the storage battery is monitored, and the monitoring data is compared with the preset failure analysis model, so that the failure type corresponding to the storage battery is efficiently judged, the subsequent timely maintenance is facilitated, the driving safety is effectively ensured, and the operation and maintenance efficiency is improved.
Description
Technical Field
The application relates to the technical field of vehicle monitoring, in particular to a vehicle-mounted storage battery failure judging method and device.
Background
The storage battery is used as an uninterruptible power supply and has important significance in automobile parts. The storage battery is mainly responsible for starting an automobile engine and supplying power to an in-car electric control system so as to ensure the normal operation of the automobile. Whether the storage battery runs normally or not directly influences whether the automobile can be started by ignition or not. At present, most of automobiles still adopt lead-acid storage batteries, along with the increase of the driving time of vehicles, the polar surface of the lead-acid storage batteries can be vulcanized and corroded, so that the corrosion deformation of positive electrode grids, the falling and softening of positive electrode active substances, irreversible sulfation, thermal runaway and the like are caused, the performance of the lead-acid storage batteries is invalid, and when the battery capacity of the lead-acid storage batteries is reduced to 80% of the rated capacity, the capacity of the lead-acid storage batteries is possibly reduced sharply, the problems of serious swelling, acid leakage, air leakage and the like are caused, and the lead-acid storage batteries are possibly scrapped at any time. Meanwhile, the storage battery can also cause fire after being damaged, public safety is jeopardized, even explosion can be caused, personnel casualties are caused, and no equipment can detect the condition of the storage battery in real time at present.
For personal user vehicles, in the regular maintenance, the performance parameters of the vehicle-mounted lead-acid storage battery are detected, so that the fault and failure possibility of the storage battery can be effectively reduced, and the existing storage battery detection method mainly comprises the following steps: (1) Detecting an actual capacity of the vehicle-mounted storage battery by discharging; (2) Measuring the electric conductivity of the storage battery through an electric conductivity meter, and judging whether the storage battery fails; and (3) measuring battery parameters based on the vehicle-mounted sensor. In a usual vehicle environment, users can rarely adopt a professional testing method and a testing tool to carry out random inspection on the performance of the storage battery. Therefore, when the vehicle is not used for a long time or the vehicle-mounted electricity utilization instrument is forgotten to be closed, the problem of storage battery failure frequently occurs, and if the problem cannot be timely treated, the storage battery can be thoroughly damaged, and the economic losses such as the replacement of a new battery and the like can be avoided. Meanwhile, when the storage battery fails, the traditional field manual detection method can be generally carried out only on the site where the failure occurs, and the operation data and detailed failure information of the storage battery are difficult to obtain, so that the maintenance and the maintenance work of the storage battery become difficult and low-efficiency. Meanwhile, in the parking process of a large number of automobiles stored in an automobile warehouse, in order to master the electric quantity condition of a storage battery of a new automobile, workers are required to detect the automobile regularly, the workload is huge and low-efficiency, and therefore the existing storage battery management technology needs to be improved.
Aiming at the technical problem in the management of the vehicle-mounted storage battery, a novel vehicle-mounted storage battery failure judging technology is provided, and the vehicle-mounted storage battery failure judging technology aims at providing assistance for daily maintenance work of the vehicle-mounted storage battery.
Disclosure of Invention
The application provides a vehicle-mounted storage battery failure judging method and device, which are used for monitoring the working condition of a storage battery and comparing monitoring data with a preset failure analysis model, so that the failure type corresponding to the storage battery is judged efficiently, the subsequent timely maintenance is facilitated, the driving safety is effectively ensured, and the operation and maintenance efficiency is improved.
To achieve the above object, the present application provides the following means.
In a first aspect, the present application provides a method for discriminating failure of a vehicle-mounted storage battery, the method comprising the steps of:
monitoring a target storage battery to obtain characteristic information of the monitoring storage battery;
comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models which respectively correspond to different fault failure types;
acquiring the failure analysis model matched with the characteristic information of the monitored storage battery, and judging the failure type of the target storage battery; wherein,,
the fault failure analysis model is obtained by performing a storage battery fault test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature and battery current.
Further, the step of comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models corresponding to different fault failure types respectively includes the following steps:
identifying a value of battery characteristic data in the monitored battery characteristic information;
based on the preset values of the storage battery characteristic data of the fault storage battery characteristic information of a plurality of fault failure analysis models respectively corresponding to different fault failure types, identifying whether the storage battery characteristic data of the fault storage battery characteristic information, the difference of which with the value of the storage battery characteristic data in the monitoring storage battery characteristic information is within a first preset difference threshold value, exists;
and if the fault failure analysis model exists, judging that the characteristic information of the monitoring storage battery is matched with the corresponding fault failure analysis model.
Further, the method further comprises a failure analysis model construction flow, and the failure analysis model construction flow comprises the following steps:
controlling the comparison storage battery to simulate the selected failure type;
monitoring the target storage battery entering the failure type to obtain feature information of the failure storage battery;
and constructing a fault failure analysis model corresponding to the model of the comparison storage battery and the fault failure type based on the fault storage battery characteristic information.
Further, the fault failure analysis model construction process further includes the following steps:
and collecting fault failure analysis models of different types of comparison storage batteries corresponding to different fault failure types, and constructing a fault failure analysis model database.
Further, the method comprises the following steps:
and releasing storage battery failure information based on the failure type of the target storage battery.
In a second aspect, the present application provides a vehicle-mounted battery failure discriminating apparatus, the apparatus comprising:
the storage battery monitoring module is used for monitoring the target storage battery and obtaining characteristic information of the monitoring storage battery;
the characteristic information comparison module is used for comparing the characteristic information of the monitored storage battery with the characteristic information of the fault storage battery of a plurality of preset fault failure analysis models which respectively correspond to different fault failure types;
the fault failure type judging module is used for acquiring the fault failure analysis model matched with the characteristic information of the monitored storage battery and judging the fault failure type of the target storage battery; wherein,,
the fault failure analysis model is obtained by performing a storage battery fault test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature and battery current.
Further, the characteristic information comparison module is further used for identifying the numerical value of the characteristic data of the storage battery in the characteristic information of the monitoring storage battery;
the characteristic information comparison module is further used for identifying whether the storage battery characteristic data of the fault storage battery characteristic information, the numerical difference of which is within a first preset difference threshold value with the storage battery characteristic data in the monitoring storage battery characteristic information, exist or not based on the preset numerical values of the storage battery characteristic data of a plurality of fault storage battery characteristic information corresponding to fault failure analysis models of different fault failure types respectively, and if the storage battery characteristic data exist, judging that the monitoring storage battery characteristic information is matched with the corresponding fault failure analysis model.
Further, the device also comprises a failure analysis model construction module;
the fault failure analysis model construction module is used for controlling the comparison storage battery to simulate the selected fault failure type;
the fault failure analysis model building module is used for monitoring the target storage battery entering the fault failure type and obtaining fault storage battery characteristic information;
the failure analysis model construction module is used for constructing a failure analysis model corresponding to the model of the comparison storage battery and the failure type based on the characteristic information of the failure storage battery.
Further, the failure analysis model construction module is further used for collecting failure analysis models of different types of the comparison storage batteries corresponding to different failure types and constructing a failure analysis model database.
Further, the device further comprises:
and the failure information release module is used for releasing the storage battery failure information based on the failure type of the target storage battery.
The technical scheme provided by the application has the beneficial effects that:
according to the application, the working condition of the storage battery is monitored, and the monitoring data is compared with the preset failure analysis model, so that the failure type corresponding to the storage battery is efficiently judged, the subsequent timely maintenance is facilitated, the driving safety is effectively ensured, and the operation and maintenance efficiency is improved.
Drawings
Term interpretation:
OCV: open Circuit Voltage, open circuit voltage;
SOC: state of Charge, state of Charge.
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of steps of a method for discriminating failure of a vehicle-mounted storage battery according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a failure discriminating method of a vehicle-mounted storage battery provided in an embodiment of the present application;
fig. 3 is a block diagram of a vehicle-mounted battery failure determination apparatus according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a vehicle-mounted storage battery failure judging method and device, which are used for monitoring the working condition of a storage battery and comparing monitoring data with a preset failure analysis model, so that the failure type corresponding to the storage battery is judged efficiently, the subsequent timely maintenance is facilitated, the driving safety is effectively ensured, and the operation and maintenance efficiency is improved.
In order to achieve the technical effects, the general idea of the application is as follows:
a vehicle-mounted storage battery failure judging method comprises the following steps:
s1, monitoring a target storage battery to obtain characteristic information of the monitoring storage battery;
s2, comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models respectively corresponding to different fault failure types;
s3, acquiring a failure analysis model matched with the characteristic information of the monitored storage battery, and judging the failure type of the target storage battery; wherein,,
the failure analysis model is obtained by carrying out battery failure test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one of battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature, and battery current.
Embodiments of the present application are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1-2, an embodiment of the present application provides a method for discriminating failure of a vehicle-mounted storage battery, including the steps of:
s1, monitoring a target storage battery to obtain characteristic information of the monitoring storage battery;
s2, comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models respectively corresponding to different fault failure types;
s3, acquiring a failure analysis model matched with the characteristic information of the monitored storage battery, and judging the failure type of the target storage battery; wherein,,
the failure analysis model is obtained by carrying out battery failure test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one of battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature, and battery current.
Aiming at the technical problems that failure faults of the vehicle-mounted storage battery have sporadic and random characteristics and are difficult to monitor by a vehicle user during use, the technical scheme in the embodiment of the application has the following two application conditions:
firstly, for a vehicle personal user, when a vehicle-mounted lead-acid storage battery fails or fails to be premonitory, failure early warning information can be transmitted to a user terminal through a remote intelligent cloud platform, so that an early warning effect is achieved, and the problems of unsmooth travel and safety caused by the failure of the storage battery are effectively reduced;
secondly, for a large number of vehicles stored in an automobile factory, the intelligent early warning platform is adopted, so that the performance parameters of the storage battery can be periodically transmitted to the vehicle management platform, the workload of inspection of a vehicle management engineer is reduced, and the economic cost is saved.
According to the embodiment of the application, according to a fault detection test of the vehicle-mounted storage battery, storage battery characteristic data information obtained when the vehicle-mounted storage battery encounters different types of faults and naturally decays is collected;
dividing failure types of the storage battery based on collected storage battery failure analysis data, and establishing corresponding prediction analysis models under different failure mechanisms of the storage battery;
if necessary, the wireless transmission performance detection device can be installed on the storage battery, a transmission channel is established with the developed intelligent service terminal mobile phone app, the performance parameter information of the storage battery is transmitted to the service terminal, the fault pre-judgment of the storage battery is carried out, and a solution scheme is provided for a user.
In the embodiment of the application, the working condition of the storage battery is monitored, and the monitoring data is compared with the preset failure analysis model, so that the failure type corresponding to the storage battery is efficiently judged, the subsequent timely maintenance is facilitated, the driving safety is effectively ensured, and the operation and maintenance efficiency is improved.
Further, the step of comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models corresponding to different fault failure types respectively includes the following steps:
identifying a value of battery characteristic data in the monitored battery characteristic information;
based on the preset values of the storage battery characteristic data of the fault storage battery characteristic information of a plurality of fault failure analysis models respectively corresponding to different fault failure types, identifying whether the storage battery characteristic data of the fault storage battery characteristic information, the difference of which with the value of the storage battery characteristic data in the monitoring storage battery characteristic information is within a first preset difference threshold value, exists;
and if the fault failure analysis model exists, judging that the characteristic information of the monitoring storage battery is matched with the corresponding fault failure analysis model.
Further, the method further comprises a failure analysis model construction flow, and the failure analysis model construction flow comprises the following steps:
controlling the comparison storage battery to simulate the selected failure type;
monitoring the target storage battery entering the failure type to obtain feature information of the failure storage battery;
and constructing a fault failure analysis model corresponding to the model of the comparison storage battery and the fault failure type based on the fault storage battery characteristic information.
Further, the fault failure analysis model construction process further includes the following steps:
and collecting fault failure analysis models of different types of comparison storage batteries corresponding to different fault failure types, and constructing a fault failure analysis model database.
Further, the method comprises the following steps:
and releasing storage battery failure information based on the failure type of the target storage battery.
Based on the technical scheme of the embodiment of the application, the method comprises the following steps when in specific implementation:
in the first step, a research and development technical engineer is required to develop a large number of vehicle-mounted storage battery fault simulation working condition tests.
And secondly, collecting characteristic data information such as a charge and discharge state, a storage battery capacity, a battery voltage, a battery temperature, a battery current and the like obtained when the vehicle-mounted storage battery encounters different types of faults.
Thirdly, based on collected storage battery fault analysis data, systematically dividing storage battery fault failure types, establishing corresponding fault failure analysis models under different failure mechanisms of the storage battery, and giving a solution to the specific storage battery failure model.
And fourthly, the established storage battery fault failure analysis model has various analysis models of natural conventional power shortage, overcharge, overdischarge, sudden impact, liquid leakage, thermal failure and the like of the battery, and the purpose of basically covering the fault reasons encountered by the current vehicle-mounted lead-acid storage battery is achieved.
It should be noted that the battery detection parameters of different failure models are characterized differently;
taking natural conventional power shortage of the storage battery as an example, the storage battery is basically judged based on OCV voltage, and the specific operation is as follows:
1. voltage difference delta based on delta t time start and end u Estimating the discharge current I by combining a storage battery OCV VS SOC database B ；
2. Based on the end point voltage U 2 And discharge current I B Combined with internal resistance R of discharging loop of accumulator bat (empirical value) calculating open-circuit voltage U of storage battery OCV ；
3 based on the open circuit voltage U of the storage battery OCV And (3) estimating the real-time electric quantity and the health state of the storage battery by combining with a storage battery OCV VS SOC database so as to timely maintain the storage battery.
In addition, when judging the natural normal power shortage of the storage battery, the following formula is adopted:
SOC＝f 1 (U OCV )；
ΔSOC＝I B ×Δt＝f 2 (Δ u )；
Δ u ＝U 1 -U 2 ；
U OCV ＝U 2 +I B ×R bat 。
in the failure analysis model of the overcharge and overdischarge cells, the internal resistance of the cell is increased sharply, the conductivity of the cell is reduced sharply, and the failure caused by the overcharge and overdischarge of the cell is judged through the change rates of the internal resistance and the conductivity;
in the failure analysis model of failure caused by collision, internal short circuit of the battery may be caused, so that temperature rise of the battery is rapidly increased, and internal resistance is reduced.
If necessary, an intelligent user service terminal app can be developed based on the obtained storage battery failure analysis model and the corresponding solution plan;
the intelligent user terminal app not only has a failure analysis model, but also corresponds to different failure types, and a specific professional solving scheme is provided.
The implementation premise of the embodiment of the application is that a wireless intelligent power supply performance parameter detection and acquisition device is required to be installed on a vehicle-mounted storage battery unit;
the method comprises the steps that a cloud intelligent service platform is adopted to output signals of a detection device installed on a vehicle-mounted storage battery to a user terminal server;
the data acquisition device adopts an intelligent cloud transmission module to periodically transmit the detected data to a user service terminal according to the time interval set by a user (different transmission time intervals can be set according to different user demands);
the user service terminal app compares and judges the received storage battery performance parameters with various failure analysis models embedded with the intelligent software module by adopting a processor;
the user service terminal intelligently judges the fault mode of the storage battery and displays the judging result and the corresponding disposal scheme on a screen;
the user and the vehicle manager can conduct targeted processing according to the displayed fault reasons and countermeasures of the storage battery, and the vehicle-mounted storage battery can be used when the vehicle-mounted storage battery fails;
by adopting the technical scheme of the embodiment of the application, the performance of the vehicle-mounted storage battery can be judged more timely and accurately, the fault or the fault precursor of the storage battery is transmitted to the intelligent user terminal server in time, the intelligent app of the user terminal server judges the fault mode of the storage battery, and a feasible solution scheme is provided for reminding users and vehicle managers.
The technical scheme of the embodiment of the application can solve the problems that the vehicle-mounted storage battery is in failure, the vehicle is difficult to normally start and the like due to the fact that the vehicle-mounted storage battery is lack of a vehicle-mounted diagnosis module and the storage battery failure precursor is lack of an identification and early warning function;
the data detection module is arranged on the storage battery unit, the cloud intelligent storage module is adopted for data information such as the liquid level, the capacitance sensor, the voltage sensor and the current of the storage battery, and the time can be set to be longer or shorter according to the requirements according to the time set by a user, and the data is sent to the user terminal service app software at regular time;
the user service terminal app is a storage battery failure early warning analysis module established after storage battery failure data are obtained based on a mass storage battery failure test, and the module comprises a conventional storage battery power consumption analysis model, a storage battery failure analysis model caused by external force impact and other various failure models;
based on the data transmitted to the terminal service app, the failure mode of the storage battery is intelligently identified, and pre-judgment and early warning are given to users and vehicle management staff.
It should be noted that, step numbers of each step in the embodiment of the present application are not limited to the order of each operation in the technical solution of the present application.
Referring to fig. 3, based on the same inventive concept as the method embodiment, the embodiment of the present application provides a vehicle-mounted battery failure determination device, which includes:
the storage battery monitoring module is used for monitoring the target storage battery and obtaining characteristic information of the monitoring storage battery;
the characteristic information comparison module is used for comparing the characteristic information of the monitored storage battery with the characteristic information of the fault storage battery of a plurality of preset fault failure analysis models which respectively correspond to different fault failure types;
the fault failure type judging module is used for acquiring the fault failure analysis model matched with the characteristic information of the monitored storage battery and judging the fault failure type of the target storage battery; wherein,,
the fault failure analysis model is obtained by performing a storage battery fault test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature and battery current.
Aiming at the technical problems that failure faults of the vehicle-mounted storage battery have sporadic and random characteristics and are difficult to monitor by a vehicle user during use, the technical scheme in the embodiment of the application has the following two application conditions:
firstly, for a vehicle personal user, when a vehicle-mounted lead-acid storage battery fails or fails to be premonitory, failure early warning information can be transmitted to a user terminal through a remote intelligent cloud platform, so that an early warning effect is achieved, and the problems of unsmooth travel and safety caused by the failure of the storage battery are effectively reduced;
secondly, for a large number of vehicles stored in an automobile factory, the intelligent early warning platform is adopted, so that the performance parameters of the storage battery can be periodically transmitted to the vehicle management platform, the workload of inspection of a vehicle management engineer is reduced, and the economic cost is saved.
According to the embodiment of the application, according to a fault detection test of the vehicle-mounted storage battery, storage battery characteristic data information obtained when the vehicle-mounted storage battery encounters different types of faults and naturally decays is collected;
dividing failure types of the storage battery based on collected storage battery failure analysis data, and establishing corresponding prediction analysis models under different failure mechanisms of the storage battery;
if necessary, the wireless transmission performance detection device can be installed on the storage battery, a transmission channel is established with the developed intelligent service terminal mobile phone app, the performance parameter information of the storage battery is transmitted to the service terminal, the fault pre-judgment of the storage battery is carried out, and a solution scheme is provided for a user.
In the embodiment of the application, the working condition of the storage battery is monitored, and the monitoring data is compared with the preset failure analysis model, so that the failure type corresponding to the storage battery is efficiently judged, the subsequent timely maintenance is facilitated, the driving safety is effectively ensured, and the operation and maintenance efficiency is improved.
Further, the characteristic information comparison module is further used for identifying the numerical value of the characteristic data of the storage battery in the characteristic information of the monitoring storage battery;
the characteristic information comparison module is further used for identifying whether the storage battery characteristic data of the fault storage battery characteristic information, the numerical difference of which is within a first preset difference threshold value with the storage battery characteristic data in the monitoring storage battery characteristic information, exist or not based on the preset numerical values of the storage battery characteristic data of a plurality of fault storage battery characteristic information corresponding to fault failure analysis models of different fault failure types respectively, and if the storage battery characteristic data exist, judging that the monitoring storage battery characteristic information is matched with the corresponding fault failure analysis model.
Further, the device also comprises a failure analysis model construction module;
the fault failure analysis model construction module is used for controlling the comparison storage battery to simulate the selected fault failure type;
the fault failure analysis model building module is used for monitoring the target storage battery entering the fault failure type and obtaining fault storage battery characteristic information;
the failure analysis model construction module is used for constructing a failure analysis model corresponding to the model of the comparison storage battery and the failure type based on the characteristic information of the failure storage battery.
Further, the failure analysis model construction module is further used for collecting failure analysis models of different types of the comparison storage batteries corresponding to different failure types and constructing a failure analysis model database.
Further, the device further comprises:
and the failure information release module is used for releasing the storage battery failure information based on the failure type of the target storage battery.
The vehicle-mounted storage battery failure judging device provided by the embodiment of the application has the technical problems, technical means and technical effects corresponding to the vehicle-mounted storage battery failure judging device, and is similar to the vehicle-mounted storage battery failure judging method in principle.
It should be noted that in the present application, 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 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, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of embodiments of the present application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. The vehicle-mounted storage battery failure judging method is characterized by comprising the following steps of:
monitoring a target storage battery to obtain characteristic information of the monitoring storage battery;
comparing the monitored storage battery characteristic information with a plurality of preset fault storage battery characteristic information of fault failure analysis models which respectively correspond to different fault failure types;
acquiring the failure analysis model matched with the characteristic information of the monitored storage battery, and judging the failure type of the target storage battery; wherein,,
the fault failure analysis model is obtained by performing a storage battery fault test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature and battery current.
2. The method for discriminating a failure of a vehicle-mounted battery according to claim 1, wherein the step of comparing the monitored battery characteristic information with a predetermined plurality of failure battery characteristic information of failure analysis models respectively corresponding to different failure types includes the steps of:
identifying a value of battery characteristic data in the monitored battery characteristic information;
based on the preset values of the storage battery characteristic data of the fault storage battery characteristic information of a plurality of fault failure analysis models respectively corresponding to different fault failure types, identifying whether the storage battery characteristic data of the fault storage battery characteristic information, the difference of which with the value of the storage battery characteristic data in the monitoring storage battery characteristic information is within a first preset difference threshold value, exists;
and if the fault failure analysis model exists, judging that the characteristic information of the monitoring storage battery is matched with the corresponding fault failure analysis model.
3. The method for discriminating a failure of a vehicle-mounted storage battery according to claim 1, further comprising a failure analysis model construction flow including the steps of:
controlling the comparison storage battery to simulate the selected failure type;
monitoring the target storage battery entering the failure type to obtain feature information of the failure storage battery;
and constructing a fault failure analysis model corresponding to the model of the comparison storage battery and the fault failure type based on the fault storage battery characteristic information.
4. The method for discriminating a failure of a vehicle-mounted storage battery according to claim 3 wherein said failure analysis model construction flow further comprises the steps of:
and collecting fault failure analysis models of different types of comparison storage batteries corresponding to different fault failure types, and constructing a fault failure analysis model database.
5. The method for discriminating a failure of an in-vehicle storage battery according to claim 1, further comprising the steps of:
and releasing storage battery failure information based on the failure type of the target storage battery.
6. An in-vehicle battery failure discriminating apparatus, characterized by comprising:
the storage battery monitoring module is used for monitoring the target storage battery and obtaining characteristic information of the monitoring storage battery;
the characteristic information comparison module is used for comparing the characteristic information of the monitored storage battery with the characteristic information of the fault storage battery of a plurality of preset fault failure analysis models which respectively correspond to different fault failure types;
the fault failure type judging module is used for acquiring the fault failure analysis model matched with the characteristic information of the monitored storage battery and judging the fault failure type of the target storage battery; wherein,,
the fault failure analysis model is obtained by performing a storage battery fault test on the storage battery based on the comparison of the same model as the target storage battery;
the monitored battery characteristic information and the fault battery characteristic information each include at least one battery characteristic data of charge and discharge state information, battery capacity, battery voltage, battery temperature and battery current.
7. The vehicle-mounted battery failure determination apparatus according to claim 6, wherein:
the characteristic information comparison module is also used for identifying the numerical value of the characteristic data of the storage battery in the characteristic information of the monitoring storage battery;
the characteristic information comparison module is further used for identifying whether the storage battery characteristic data of the fault storage battery characteristic information, the numerical difference of which is within a first preset difference threshold value with the storage battery characteristic data in the monitoring storage battery characteristic information, exist or not based on the preset numerical values of the storage battery characteristic data of a plurality of fault storage battery characteristic information corresponding to fault failure analysis models of different fault failure types respectively, and if the storage battery characteristic data exist, judging that the monitoring storage battery characteristic information is matched with the corresponding fault failure analysis model.
8. The vehicle-mounted battery failure determination apparatus according to claim 6, further comprising a failure analysis model construction module;
the fault failure analysis model construction module is used for controlling the comparison storage battery to simulate the selected fault failure type;
the fault failure analysis model building module is used for monitoring the target storage battery entering the fault failure type and obtaining fault storage battery characteristic information;
the failure analysis model construction module is used for constructing a failure analysis model corresponding to the model of the comparison storage battery and the failure type based on the characteristic information of the failure storage battery.
9. The vehicle-mounted battery failure determination apparatus according to claim 8, wherein:
the failure analysis model construction module is also used for collecting failure analysis models of different types of the comparison storage batteries corresponding to different failure types and constructing a failure analysis model database.
10. The vehicle-mounted battery failure determination apparatus according to claim 6, wherein the apparatus further comprises:
and the failure information release module is used for releasing the storage battery failure information based on the failure type of the target storage battery.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310931507.8A CN116953534A (en) | 2023-07-25 | 2023-07-25 | Vehicle-mounted storage battery failure judging method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310931507.8A CN116953534A (en) | 2023-07-25 | 2023-07-25 | Vehicle-mounted storage battery failure judging method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116953534A true CN116953534A (en) | 2023-10-27 |
Family
ID=88448680
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310931507.8A Pending CN116953534A (en) | 2023-07-25 | 2023-07-25 | Vehicle-mounted storage battery failure judging method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116953534A (en) |
-
2023
- 2023-07-25 CN CN202310931507.8A patent/CN116953534A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110873841B (en) | Battery life prediction method based on combination of data driving and battery characteristics | |
| CN106680720B (en) | Vehicular accumulator cell early warning failure system and method based on car networking | |
| CN103018681B (en) | Electric vehicle battery life decline and safe state detection technology based on deformation of battery cell in any shape | |
| CN111025168A (en) | Battery health state monitoring device and battery state of charge intelligent estimation method | |
| CN106443490B (en) | A kind of fault diagnosis system of battery short circuit | |
| CN112098850B (en) | Lithium ion battery voltage fault diagnosis method and system based on SDO algorithm | |
| CN107528095B (en) | Low tension battery failure prediction method based on new energy vehicle storing card data | |
| CN115494404B (en) | Online monitoring method for storage battery pack | |
| CN101782629A (en) | Battery system monitoring method and device based on OBD-II | |
| CN113933732A (en) | New energy automobile power battery health state analysis method, system and storage medium | |
| CN116973782B (en) | New energy automobile maintenance and fault monitoring and diagnosing method based on machine learning | |
| KR20230057894A (en) | Apparatus of Detecting Abnormal Portent Cell in Batter Pack and Method thereof | |
| CN110554329A (en) | battery internal resistance measuring method and device | |
| CN115718258B (en) | Battery fault detection | |
| CN112550074A (en) | Safety early warning method and monitoring system for internal temperature of electric vehicle battery | |
| CN111707943A (en) | Battery simulation-based electric vehicle charging fault early warning method and system | |
| CN117673406A (en) | Intelligent monitoring system of all-vanadium redox flow battery | |
| CN115799690B (en) | Operation method and system of energy storage equipment | |
| CN112068006A (en) | Laboratory equipment safe operation and maintenance platform based on cloud computing | |
| CN105487014A (en) | Method and device for predicting lithium battery capacity | |
| CN115469226B (en) | Real-time safety early warning method for power battery of electric automobile based on operation big data | |
| CN116953534A (en) | Vehicle-mounted storage battery failure judging method and device | |
| CN105759217A (en) | Lead-acid battery pack online fault diagnosis method based on measurable data | |
| CN205103382U (en) | Lithium battery capacity testing arrangement | |
| CN203117396U (en) | Automotive lead-acid battery fault diagnosis and emergency ignition device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |