CN116691442B - Fault monitoring method and system for battery management system in battery charging equipment - Google Patents
Fault monitoring method and system for battery management system in battery charging equipment Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
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- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract
The application belongs to the technical field of battery charging, and particularly relates to a fault monitoring method and system of a battery management system in battery charging equipment.
Description
Technical Field
The application belongs to the technical field of battery charging, and particularly relates to a fault monitoring method and system of a battery management system in battery charging equipment.
Background
BMS generally refers to an abbreviation of battery management system (Battery Management System), which refers to a system for managing, monitoring and controlling rechargeable batteries. The BMS generally includes two parts, i.e., hardware including a circuit board composed of a battery management chip, a sensor, a fuse, etc., and software including programs for data collection, status monitoring, control, and communication. The BMS system can monitor parameters such as voltage, current and temperature of the battery in real time, manage and protect the battery according to the parameters, and prevent the problems of overcharge, overdischarge, overcurrent and the like, so that the service life of the battery is prolonged, and the performance and the safety of the battery are improved. BMS is widely applied to fields such as electric vehicles, energy storage systems, solar energy, wind energy and the like.
At present, on the occasion of a charging station for replacing a rechargeable battery of an automobile, an independent rechargeable battery management system is arranged in intelligent battery charging equipment for receiving and delivering the automobile battery, so that the battery is monitored during charging, problems are found in time, and power-off operation is performed to avoid charging safety problems.
The existing rechargeable battery management system on the intelligent battery car has the following defects:
lack of comprehensive state assessment: the running state of each battery charging device is mainly maintained manually at regular intervals or the built-in system of the battery charging device is detected by a sensor, the mode can only perform early warning in time after a problem occurs, the early warning cannot be performed in advance, the power failure is stopped before the problem occurs, the maintenance is waited, the irreversible serious damage is avoided, and the loss is reduced;
in order to process a large number of charging tasks, on the premise that qualified battery charging equipment does not meet the tasks, battery charging equipment with poor arrangement state is used in combination with an isolation space, but in the process of arranging the isolation space to be matched with the battery charging equipment for use or in the process of matching the isolation space with the battery charging equipment, a whole set of effective scheme does not exist, so that management is disordered, and charging safety cannot be guaranteed;
for the battery charging equipment with poor state in the use of the investigation, the monitoring scanning interval time is not adjusted in a targeted way, the problem can not be found in time, and serious safety accidents can easily occur in the use.
Disclosure of Invention
The application aims to provide a fault monitoring method and a fault monitoring system for a battery management system in battery charging equipment, so as to solve the problems in the background technology.
The application realizes the above purpose through the following technical scheme:
a fault monitoring method of a battery management system in a battery charging apparatus, comprising:
s1: collecting hardware parameters, software parameters and environment parameters of a BMS battery management system and constructing BMS state evaluation coefficients according to the hardware parameters, the software parameters and the environment parameters;
s2: comparing the BMS state evaluation coefficient with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, matching battery charging equipment with the BMS state evaluation coefficient between the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient, marking the battery charging equipment as key objects, and outputting the number of the key objects;
s3: judging and matching the available quantity of the isolation spaces of a plurality of battery charging devices based on the quantity of the key objects, and matching the key objects with corresponding quantity according to the available quantity of the isolation spaces;
s4: establishing a correction coefficient according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, acquiring an improved monitoring scanning interval time according to the correction coefficient and the initial monitoring scanning interval time, and adjusting the monitoring scanning interval time for the key object in use according to the improved monitoring scanning interval time.
The further improvement is that the step S1 includes:
collecting hardware parameters, software parameters and environment parameters of the BMS;
the hardware parameters comprise a system circuit board deformation index and a system circuit board oxidation index;
the software parameters comprise a system software failure rate;
the environmental parameters include a temperature differential span index;
marking the deformation index of the system circuit board as BX and the oxidation index of the system circuit board as YH;
marking the fault rate of the system software as RG;
marking the temperature difference span index as WC;
establishing BMS state evaluation coefficients through a normalization formula by using a system circuit board deformation index, a system circuit board oxidation index, a system software fault rate and a temperature difference span index, wherein the expression is as follows:
where PG is a BMS state evaluation coefficient,、/>、/>、/>the deformation index of the system circuit board, the oxidation index of the system circuit board, the failure rate of the system software and the proportional coefficient of the temperature span index are respectively +.>＞/>＞/>＞/>＞0。
The further improvement is that the calculation expression of the deformation index of the system circuit board is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For the whole deformation degree of the initial system circuit board, < ->The whole deformation degree of the circuit board of the system after use;
the calculation expression of the oxidation index of the system circuit board is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For the contact resistance value of the system circuit board, +.>The standard contact resistance value of the system circuit board;
the calculation expression of the system software failure rate is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein GZ is the number of times of system software faults, T is the running time of the system software, and refers to the number of times of software faults in a certain time;
the calculation expression of the temperature difference span index is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Is the temperature of the standby state of the system,for the temperature of the state of use of the system, +.>Is the lowest temperature of the environment in which the system is located, +.>Is the highest temperature of the environment in which the system is located.
A further improvement is that said step S2 comprises:
after the BMS state evaluation coefficient is acquired, the BMS state evaluation coefficient is compared with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, and the BMS state is obtainedThe evaluation coefficient second threshold value is greater than the BMS state evaluation coefficient first threshold value, and the BMS state evaluation coefficient first threshold value is marked asThe BMS state evaluation coefficient second threshold value is marked as；
If the BMS state evaluation coefficient is larger than the BMS state evaluation coefficient second threshold, indicating that the BMS state is good, and marking the BMS state as a qualified object;
if the BMS state evaluation coefficient first threshold value is smaller than or equal to the BMS state evaluation coefficient and smaller than or equal to the BMS state evaluation coefficient second threshold value, indicating that the BMS state is poor, marking the BMS state as a key object, calculating and outputting the number of the key objects, and generating a first sorting table according to the BMS state evaluation coefficient from large to small;
if the BMS state evaluation coefficient is smaller than the BMS state evaluation coefficient first threshold, the BMS is not up to the safe use requirement, the BMS is marked as unqualified equipment, and the BMS is directly powered off and moved to a scrapped place.
A further improvement is that said step S4 comprises:
calculating the number of the rechargeable batteries and the number of qualified objects, if the number of the qualified objects is less than the number of the rechargeable batteries, calculating the number of the isolation spaces by using key objects which are ranked in front in the first ranking table, attaching corresponding marks to each isolation space, carrying the marks according to the distance between the isolation spaces and the positions of the battery inlets, and generating a second ranking table from small to large according to the numbers;
if the number of the isolation spaces is larger than the number of the key objects, the key objects and the isolation spaces are used in one-to-one correspondence according to the first ordering table and the second ordering table;
if the number of the isolation spaces is less than the number of the key objects, obtaining a difference value between the number of the isolation spaces and the number of the key objects, screening out the key objects ranked in the reverse order of the first ordering table through the difference value, marking the key objects screened out of the first ordering table as maintenance objects, and arranging maintenance on the maintenance objects according to the BMS state evaluation coefficients from large to small.
The method is further improved in that initial monitoring scanning interval time of an important object in use is collected, the initial monitoring scanning interval time is marked as JGT, a correction coefficient is established according to a BMS state evaluation coefficient, a BMS state evaluation coefficient first threshold value and a BMS state evaluation coefficient second threshold value, the monitoring scanning interval time is adjusted through the correction coefficient, and the expression of the correction coefficient is as follows:
wherein X is a correction coefficient;
after the correction coefficient is obtained, the improved monitoring scanning interval time is obtained according to the correction coefficient and the initial monitoring scanning interval time, and the expression is:the method comprises the steps of carrying out a first treatment on the surface of the In the formula, GS is used for improving the monitoring scanning interval time, and the improving monitoring scanning interval time is used for replacing the initial monitoring scanning interval time.
A system for implementing the battery management system fault monitoring method in any of the above battery charging devices, comprising:
the acquisition module is used for acquiring hardware parameters, software parameters and environment parameters of the BMS battery management system and constructing BMS state evaluation coefficients according to the hardware parameters, the software parameters and the environment parameters;
the comparison module is used for comparing the BMS state evaluation coefficient with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, matching battery charging equipment with the BMS state evaluation coefficient between the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient, marking the battery charging equipment as key objects and outputting the number of the key objects;
the analysis module is used for judging and matching the available quantity of the isolation spaces of the battery charging equipment according to the quantity of the key objects, and matching the corresponding quantity of the key objects according to the available quantity of the isolation spaces;
the adjustment module is used for establishing a correction coefficient according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, acquiring an improved monitoring scanning interval time according to the correction coefficient and the initial monitoring scanning interval time, and adjusting the monitoring scanning interval time for the key object in use according to the improved monitoring scanning interval time.
The application has the beneficial effects that:
the BMS state evaluation coefficients are established by collecting various parameters, and are compared with the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value respectively, so that the health degree of the BMS can be evaluated conveniently and quantitatively, potential problems and faults are found and eliminated in time, the fault rate and accident risk of the BMS are reduced, the reliability and safety of the BMS are improved, unqualified BMS is found out more clearly, the use under hidden danger is avoided, and the operation of the whole automobile battery charging field is avoided.
By counting the number of the isolation spaces and the number of key objects, when the number of qualified objects does not meet the task of the current rechargeable battery, the corresponding key objects are arranged in time to be used in a one-to-one correspondence mode in combination with the isolation spaces, on one hand, the influence of the key objects on the outside is blocked by the isolation spaces after accidents occur, the key objects are blocked by the isolation spaces, surrounding qualified objects which are in use cannot be influenced, the task digestion amount is increased while the charging safety is ensured, the safety of using the key objects is ensured while the task is efficiently processed, and the resource maximization utilization is realized.
The method comprises the steps of establishing a correction coefficient according to a BMS state evaluation coefficient of a key object, a BMS state evaluation coefficient first threshold value and a BMS state evaluation coefficient second threshold value, and modifying initial monitoring scanning interval time of the key object in use through the correction coefficient, so that the monitoring scanning interval time can be adjusted according to the use running state of the key object, safety items are additionally added under the safety protection of an isolation space, the scanning interval time is shortened, problems can be found faster and more timely, larger accidents are avoided due to timely power failure, and the safety use effect is further improved while the digestion task quantity is guaranteed.
Drawings
FIG. 1 is a flow chart of a monitoring method of the present application;
fig. 2 is an overall block diagram of a monitoring system in accordance with the present application.
Detailed Description
The application will now be described in further detail with reference to the accompanying drawings, wherein it is to be understood that the following detailed description is for the purpose of illustration only and is not to be construed as limiting the scope of the application, as various insubstantial modifications and adaptations of the application to those skilled in the art may be made in light of the foregoing disclosure.
Example 1
Be provided with a plurality of mobilizable battery charging equipment in the car battery charging outfit, every battery charging equipment embeds has independent BMS battery to charge and uses battery management system for manage and protect the battery, promote the performance and the security of battery, when carrying out the operation of changing the electricity to the car, every battery charging equipment removes to car bottom centre gripping car battery, afterwards remove the charge position and charge, and battery charging equipment that charges then shifts the battery that charges to car bottom, be used for changing the dress battery, so realize the effect of quick replacement battery, time that can shorten the supplementary energy by a wide margin for traditional charging.
As shown in fig. 1, the present application provides a fault monitoring method for a battery management system in a battery charging device, including:
s1: collecting hardware parameters, software parameters and environment parameters of a BMS battery management system and constructing BMS state evaluation coefficients according to the hardware parameters, the software parameters and the environment parameters;
s2: comparing the BMS state evaluation coefficient with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, matching battery charging equipment with the BMS state evaluation coefficient between the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient, marking the battery charging equipment as key objects, and outputting the number of the key objects;
s3: judging and matching the available quantity of the isolation spaces of a plurality of battery charging devices based on the quantity of the key objects, and matching the key objects with corresponding quantity according to the available quantity of the isolation spaces;
s4: establishing a correction coefficient according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, acquiring an improved monitoring scanning interval time according to the correction coefficient and the initial monitoring scanning interval time, and adjusting the monitoring scanning interval time for the key object in use according to the improved monitoring scanning interval time.
The main directions influencing the state of the BMS battery management system arranged in the battery charging equipment are hardware, software and environment, so that the state of the BMS battery management system can be clearly known by collecting parameters in the three directions, thereby quantifying the state of the battery charging equipment, and finding out problems in time to eliminate hidden danger.
Further, step S1 includes:
collecting hardware parameters, software parameters and environment parameters of the BMS;
the hardware parameters comprise a system circuit board deformation index and a system circuit board oxidation index;
the software parameters comprise a system software failure rate;
the environmental parameters include a temperature differential span index;
marking the deformation index of the system circuit board as BX and the oxidation index of the system circuit board as YH;
marking the fault rate of the system software as RG;
marking the temperature difference span index as WC;
establishing BMS state evaluation coefficients through a normalization formula by using a system circuit board deformation index, a system circuit board oxidation index, a system software fault rate and a temperature difference span index, wherein the expression is as follows:
wherein PG is BMS state evaluation coefficient, < ->、/>、/>、/>The deformation index of the system circuit board, the oxidation index of the system circuit board, the failure rate of the system software and the proportional coefficient of the temperature span index are respectively +.>＞＞/>＞/>> 0. The larger the BMS state evaluation coefficient is, the better the BMS state is, the more stable the BMS state is in, and the higher the safety degree is when the automobile battery is charged.
Further, the calculation expression of the deformation index of the system circuit board is:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For the whole deformation degree of the initial system circuit board, < ->The whole deformation degree of the circuit board of the system after use; the larger the deformation index of the circuit board is, the more serious the deformation of the circuit board is, the more serious the aging of the circuit board is, and the later use is likely to be failed, so that the deformation index of the circuit board of the system and the state evaluation coefficient are in inverse proportion;
the calculation expression of the oxidation index of the system circuit board is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For the contact resistance value of the system circuit board, +.>The standard contact resistance value of the system circuit board; the contact resistance value of the circuit board is mainly obtained through an electrical test method, the higher the oxidation index of the circuit board is, the more serious the oxidation of the circuit board is, the performance of the circuit board is reduced, the circulation of a circuit is hindered, the working performance of the circuit is reduced, the signal attenuation and the distortion are caused by an oxide film, the communication quality is influenced, the service life of the circuit board is shortened, the safety risk is increased, and therefore, the oxidation index of the circuit board and the state evaluation coefficient of the system are in inverse proportion;
the calculation expression of the failure rate of the system software is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein GZ is the number of times of system software faults, T is the running time of the system software, and refers to the number of times of software faults in a certain time; the higher the failure rate of the system software is, the more the number of failures occurs in a short time, the more unstable the software is operated, the worse the use effect of the system is, the battery is easily interrupted, the charging time is prolonged, and therefore, the failure rate of the system software and the state evaluation coefficient are in inverse proportion;
the calculated expression of the temperature difference span index is:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Is the temperature of the system standby state, +.>For the temperature of the state of use of the system, +.>Is the lowest temperature of the environment in which the system is located, +.>The highest temperature of the environment in which the system is located; the larger the temperature difference span index is, the smaller the interference of the environment temperature to the system is, otherwise, the larger the interference of the environment temperature to the system is, so that the temperature difference span index and the state evaluation coefficient are in inverse proportion.
Further, step S2 includes:
after the BMS state evaluation coefficient is acquired, the BMS state evaluation coefficient is compared with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, the second threshold value of the BMS state evaluation coefficient is larger than the first threshold value of the BMS state evaluation coefficient, and the first threshold value of the BMS state evaluation coefficient is marked asThe BMS state evaluation coefficient second threshold value is marked as；
In the application, the acquisition logic of the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient is as follows: according to the calculation expression of the BMS state evaluation coefficient, the deformation index of the system circuit board, the oxidation index of the system circuit board, the failure rate of the system software and the temperature span index are respectively in inverse proportion to the BMS state coefficient, so that the greater the value of the BMS state coefficient is, the better the BMS state is, the higher the safety degree is when the automobile battery is charged, and when the deformation index of the system circuit board, the oxidation index of the system circuit board, the failure rate of the system software and the temperature span index respectively take the lowest value, the value for determining the BMS state coefficient is obtained.
If the BMS state evaluation coefficient is larger than the BMS state evaluation coefficient second threshold, indicating that the BMS state is good, and marking the BMS state as a qualified object;
if the BMS state evaluation coefficient first threshold value is smaller than or equal to the BMS state evaluation coefficient and smaller than or equal to the BMS state evaluation coefficient second threshold value, indicating that the BMS state is poor, marking the BMS state as a key object, counting the number of the key objects, and generating a first sorting table according to the BMS state evaluation coefficient from large to small;
if the BMS state evaluation coefficient is smaller than the BMS state evaluation coefficient first threshold, the BMS is not up to the safe use requirement, the BMS is marked as unqualified equipment, and the BMS is directly powered off and moved to a scrapped place.
According to the application, the BMS state evaluation coefficient is established by collecting various parameters, and is compared with the BMS state evaluation coefficient first threshold and the BMS state evaluation coefficient second threshold respectively, so that the health degree of the BMS can be conveniently and quantitatively evaluated, potential problems and faults can be timely found and eliminated, the fault rate and accident risk of the BMS can be reduced, the reliability and safety of the BMS can be improved, unqualified BMS can be more clearly found, the use in hidden danger can be avoided, and the operation of the whole automobile battery charging field can be prevented from being interfered.
Further, step S4 includes:
counting the number of the rechargeable batteries and the number of qualified objects, if the number of the qualified objects is less than the number of the rechargeable batteries, counting the number of the isolation spaces by using key objects which are ranked in front in the first ranking table, attaching corresponding marks to each isolation space, carrying out marks according to the distance between the isolation spaces and the positions of the battery inlets, and generating a second ranking table from small to large according to the numbers;
if the number of the isolation spaces is larger than the number of the key objects, the key objects and the isolation spaces are used in one-to-one correspondence according to the first ordering table and the second ordering table;
if the number of the isolation spaces is less than the number of the key objects, obtaining a difference value between the number of the isolation spaces and the number of the key objects, screening out the key objects ranked in the reverse order of the first ordering table through the difference value, marking the key objects screened out of the first ordering table as maintenance objects, and arranging maintenance on the maintenance objects according to the BMS state evaluation coefficients from large to small.
According to the application, by counting the number of the isolation spaces and the number of the key objects, when the qualified objects do not meet the task of the current rechargeable battery, the corresponding key objects are arranged in time to be used in a one-to-one correspondence manner in combination with the isolation spaces, on one hand, the influence of the key objects on the outside is blocked by the isolation spaces after an accident occurs, so that the surrounding qualified objects are not influenced, the task digestion amount is increased while the charging safety is ensured, the safety of the key objects is ensured while the task is efficiently processed, and the maximum utilization of resources is realized.
The isolation space is a safety protection isolation space used for key objects by the vehicle replacement station, and is a space which plays a safety protection role when key objects are evaluated and regulated for use, so that other qualified objects around the key objects are prevented from being affected when accidents occur.
Further, the initial monitoring scanning interval time of the key object in use is collected, the initial monitoring scanning interval time is marked as JGT, a correction coefficient is established according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, the modification monitoring scanning interval time of the key object is regulated through the correction coefficient, and the expression of the correction coefficient is as follows:wherein X is a correction coefficient;
after the correction coefficient is obtained, the improved monitoring scanning interval time is obtained according to the correction coefficient and the initial monitoring scanning interval time, and the expression is:the method comprises the steps of carrying out a first treatment on the surface of the In the formula, GS is used for improving the monitoring scanning interval time, and the improving monitoring scanning interval time is used for replacing the initial monitoring scanning interval time.
For example, assuming that the initial monitoring scanning interval time of the key object in use is 50s and the correction coefficient is 0.9, the improvement monitoring scanning interval time is 50×0.9=45s, and the scanning interval time is shortened from the initial interval 50s scanning to 45s scanning, so that problems can be found early and measures can be taken to avoid accidents, thereby improving the use safety, and maintaining or replacing in time, thereby prolonging the service life of the equipment.
With reference to fig. 2, the present application further provides a system for implementing the fault monitoring method of the battery management system in the battery charging device, which includes:
the acquisition module is used for acquiring hardware parameters, software parameters and environment parameters of the BMS battery management system and constructing BMS state evaluation coefficients according to the hardware parameters, the software parameters and the environment parameters;
the comparison module is used for comparing the BMS state evaluation coefficient with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, matching battery charging equipment with the BMS state evaluation coefficient between the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient, marking the battery charging equipment as key objects and outputting the number of the key objects;
the analysis module is used for judging and matching the available quantity of the isolation spaces of the battery charging equipment according to the quantity of the key objects, and matching the corresponding quantity of the key objects according to the available quantity of the isolation spaces;
the adjustment module is used for establishing a correction coefficient according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, acquiring an improved monitoring scanning interval time according to the correction coefficient and the initial monitoring scanning interval time, and adjusting the monitoring scanning interval time for the key object in use according to the improved monitoring scanning interval time.
According to the method, the correction coefficient is established according to the BMS state evaluation coefficient of the key object, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, and the initial monitoring scanning interval time of the key object in use is modified through the correction coefficient, so that the monitoring scanning interval time can be correspondingly adjusted according to the use running state of the key object, the safety item is additionally added under the safety protection of the isolation space, the scanning interval time is shortened, the problem can be found faster and more timely, the occurrence of larger accidents is avoided due to timely power failure, and the safety use effect is further improved while the digestion task quantity is ensured.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In addition, each functional module in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be appreciated by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not drive the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (7)
1. A fault monitoring method for a battery management system in a battery charging device, characterized by: comprising the following steps:
s1: collecting hardware parameters, software parameters and environment parameters of a BMS battery management system and constructing BMS state evaluation coefficients according to the hardware parameters, the software parameters and the environment parameters;
s2: comparing the BMS state evaluation coefficient with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, matching battery charging equipment with the BMS state evaluation coefficient between the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient, marking the battery charging equipment as key objects, and outputting the number of the key objects;
s3: judging and matching the available quantity of the isolation spaces of a plurality of battery charging devices based on the quantity of the key objects, and matching the key objects with corresponding quantity according to the available quantity of the isolation spaces;
s4: establishing a correction coefficient according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, acquiring an improved monitoring scanning interval time according to the correction coefficient and the initial monitoring scanning interval time, and adjusting the monitoring scanning interval time for the key object in use according to the improved monitoring scanning interval time.
2. The method for monitoring the failure of a battery management system in a battery charging apparatus according to claim 1, wherein: the step S1 includes:
collecting hardware parameters, software parameters and environment parameters of the BMS;
the hardware parameters comprise a system circuit board deformation index and a system circuit board oxidation index;
the software parameters comprise a system software failure rate;
the environmental parameters include a temperature differential span index;
marking the deformation index of the system circuit board as BX and the oxidation index of the system circuit board as YH;
marking the fault rate of the system software as RG;
marking the temperature difference span index as WC;
establishing BMS state evaluation coefficients through a normalization formula by using a system circuit board deformation index, a system circuit board oxidation index, a system software fault rate and a temperature difference span index, wherein the expression is as follows:
；
where PG is a BMS state evaluation coefficient,the deformation index of the system circuit board, the oxidation index of the system circuit board, the failure rate of the system software and the proportional coefficient of the temperature span index are respectively +.>。
3. The fault monitoring method of a battery management system in a battery charging apparatus according to claim 2, wherein: the calculation expression of the deformation index of the system circuit board is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For the whole deformation degree of the initial system circuit board, < ->The whole deformation degree of the circuit board of the system after use;
the calculation expression of the oxidation index of the system circuit board is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For the contact resistance value of the system circuit board, +.>The standard contact resistance value of the system circuit board;
the calculation expression of the system software failure rate is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein GZ is the number of times of system software faults, T is the running time of the system software, and refers to the number of times of software faults in a certain time;
the calculation expression of the temperature difference span index is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Is the temperature of the standby state of the system,for the temperature of the state of use of the system, +.>Is the lowest temperature of the environment in which the system is located, +.>Is the highest temperature of the environment in which the system is located.
4. A method for fault monitoring of a battery management system in a battery charging device according to claim 3, wherein: the step S2 includes:
after the BMS state evaluation coefficient is acquired, the BMS state evaluation coefficient is compared with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, the second threshold value of the BMS state evaluation coefficient is larger than the first threshold value of the BMS state evaluation coefficient, and the first threshold value of the BMS state evaluation coefficient is marked asBMS state evaluation coefficient second threshold is marked +.>；
If the BMS state evaluation coefficient is larger than the BMS state evaluation coefficient second threshold, indicating that the BMS state is good, and marking the BMS state as a qualified object;
if the BMS state evaluation coefficient first threshold value is smaller than or equal to the BMS state evaluation coefficient and smaller than or equal to the BMS state evaluation coefficient second threshold value, indicating that the BMS state is poor, marking the BMS state as a key object, calculating and outputting the number of the key objects, and generating a first sorting table according to the BMS state evaluation coefficient from large to small;
if the BMS state evaluation coefficient is smaller than the BMS state evaluation coefficient first threshold, the BMS is not up to the safe use requirement, the BMS is marked as unqualified equipment, and the BMS is directly powered off and moved to a scrapped place.
5. The method for monitoring the failure of a battery management system in a battery charging apparatus according to claim 4, wherein: the step S4 includes:
calculating the number of the rechargeable batteries and the number of qualified objects, if the number of the qualified objects is less than the number of the rechargeable batteries, calculating the number of the isolation spaces by using key objects which are ranked in front in the first ranking table, attaching corresponding marks to each isolation space, carrying the marks according to the distance between the isolation spaces and the positions of the battery inlets, and generating a second ranking table from small to large according to the numbers;
if the number of the isolation spaces is larger than the number of the key objects, the key objects and the isolation spaces are used in one-to-one correspondence according to the first ordering table and the second ordering table;
if the number of the isolation spaces is less than the number of the key objects, obtaining a difference value between the number of the isolation spaces and the number of the key objects, screening out the key objects ranked in the reverse order of the first ordering table through the difference value, marking the key objects screened out of the first ordering table as maintenance objects, and arranging maintenance on the maintenance objects according to the BMS state evaluation coefficients from large to small.
6. The method for monitoring the failure of a battery management system in a battery charging apparatus according to claim 5, wherein: collecting initial monitoring scanning interval time of key objects in use, marking the initial monitoring scanning interval time as JGT, establishing a correction coefficient according to a BMS state evaluation coefficient, a BMS state evaluation coefficient first threshold value and a BMS state evaluation coefficient second threshold value, and adjusting the modification monitoring scanning interval time of the key objects through the correction coefficient, wherein the expression of the correction coefficient is as follows:
wherein X is a correction coefficient;
after the correction coefficient is obtained, the improved monitoring scanning interval time is obtained according to the correction coefficient and the initial monitoring scanning interval time, and the expression is:the method comprises the steps of carrying out a first treatment on the surface of the In the formula, GS is used for improving the monitoring scanning interval time, and the improving monitoring scanning interval time is used for replacing the initial monitoring scanning interval time.
7. A system for implementing the fault monitoring method of the battery management system in the battery charging apparatus as claimed in any one of claims 1 to 6, comprising:
the acquisition module is used for acquiring hardware parameters, software parameters and environment parameters of the BMS battery management system and constructing BMS state evaluation coefficients according to the hardware parameters, the software parameters and the environment parameters;
the comparison module is used for comparing the BMS state evaluation coefficient with a first threshold value of the BMS state evaluation coefficient and a second threshold value of the BMS state evaluation coefficient which are acquired in advance, matching battery charging equipment with the BMS state evaluation coefficient between the first threshold value of the BMS state evaluation coefficient and the second threshold value of the BMS state evaluation coefficient, marking the battery charging equipment as key objects and outputting the number of the key objects;
the analysis module is used for judging and matching the available quantity of the isolation spaces of the battery charging equipment according to the quantity of the key objects, and matching the corresponding quantity of the key objects according to the available quantity of the isolation spaces;
the adjustment module is used for establishing a correction coefficient according to the BMS state evaluation coefficient, the BMS state evaluation coefficient first threshold value and the BMS state evaluation coefficient second threshold value, acquiring an improved monitoring scanning interval time according to the correction coefficient and the initial monitoring scanning interval time, and adjusting the monitoring scanning interval time for the key object in use according to the improved monitoring scanning interval time.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109713793A (en) * | 2018-12-26 | 2019-05-03 | 北京四方继保自动化股份有限公司 | A kind of substation station power supply presence assessment system and method |
| CN209096523U (en) * | 2018-08-30 | 2019-07-12 | 四川化工职业技术学院 | A kind of batteries of electric automobile monitoring system |
| CN111413628A (en) * | 2020-02-27 | 2020-07-14 | 蓝谷智慧(北京)能源科技有限公司 | Charging and battery replacing station with battery evaluation function and evaluation method |
| CN113787914A (en) * | 2021-10-18 | 2021-12-14 | 广州小鹏汽车科技有限公司 | Power battery monitoring method and device, server and storage medium |
| CN113815486A (en) * | 2021-10-22 | 2021-12-21 | 广州小鹏汽车科技有限公司 | Power battery monitoring method and device, server and storage medium |
| WO2022199772A1 (en) * | 2021-03-25 | 2022-09-29 | Nerve Smart Systems Aps | A system and a method for in-situ controlling and monitoring individual battery cells in a battery system |
| CN115392134A (en) * | 2022-09-23 | 2022-11-25 | 四川新能源汽车创新中心有限公司 | Vehicle power battery comprehensive performance evaluation method and related device |
| FR3123155A3 (en) * | 2021-05-20 | 2022-11-25 | Ideas & Motion S.R.L. | Intelligent battery pack for energy-efficient and connected mobility |
| CN115589074A (en) * | 2022-12-13 | 2023-01-10 | 大秦新能源科技(泰州)有限公司 | Household energy storage power supply system based on solar energy |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107305372B (en) * | 2016-04-25 | 2020-06-19 | 岳秀兰 | Electric automobile energy monitoring and supply network for remote monitoring of cloud computing network architecture |
-
2023
- 2023-08-04 CN CN202310974289.6A patent/CN116691442B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN209096523U (en) * | 2018-08-30 | 2019-07-12 | 四川化工职业技术学院 | A kind of batteries of electric automobile monitoring system |
| CN109713793A (en) * | 2018-12-26 | 2019-05-03 | 北京四方继保自动化股份有限公司 | A kind of substation station power supply presence assessment system and method |
| CN111413628A (en) * | 2020-02-27 | 2020-07-14 | 蓝谷智慧(北京)能源科技有限公司 | Charging and battery replacing station with battery evaluation function and evaluation method |
| WO2022199772A1 (en) * | 2021-03-25 | 2022-09-29 | Nerve Smart Systems Aps | A system and a method for in-situ controlling and monitoring individual battery cells in a battery system |
| FR3123155A3 (en) * | 2021-05-20 | 2022-11-25 | Ideas & Motion S.R.L. | Intelligent battery pack for energy-efficient and connected mobility |
| CN113787914A (en) * | 2021-10-18 | 2021-12-14 | 广州小鹏汽车科技有限公司 | Power battery monitoring method and device, server and storage medium |
| CN113815486A (en) * | 2021-10-22 | 2021-12-21 | 广州小鹏汽车科技有限公司 | Power battery monitoring method and device, server and storage medium |
| CN115392134A (en) * | 2022-09-23 | 2022-11-25 | 四川新能源汽车创新中心有限公司 | Vehicle power battery comprehensive performance evaluation method and related device |
| CN115589074A (en) * | 2022-12-13 | 2023-01-10 | 大秦新能源科技(泰州)有限公司 | Household energy storage power supply system based on solar energy |
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