CN111707943A - Battery simulation-based electric vehicle charging fault early warning method and system - Google Patents
Battery simulation-based electric vehicle charging fault early warning method and system Download PDFInfo
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- CN111707943A CN111707943A CN202010410131.2A CN202010410131A CN111707943A CN 111707943 A CN111707943 A CN 111707943A CN 202010410131 A CN202010410131 A CN 202010410131A CN 111707943 A CN111707943 A CN 111707943A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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Abstract
The invention relates to an electric vehicle charging fault early warning method and system based on battery simulation, which comprises the following steps: monitoring actual charging state information of the electric automobile, charging state information of a non-vehicle-mounted charger and battery charging demand information of the electric automobile; and performing charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile. According to the technical scheme provided by the invention, the charging parameters of the electric automobile side and the generator side are considered at the same time, and the electric automobile sends out the charging fault early warning based on the charging parameters, so that the identification accuracy of the charging fault of the electric automobile is improved.
Description
Technical Field
The invention relates to the technical field of electric vehicle charging and battery replacement, in particular to an electric vehicle charging fault early warning method and system based on battery simulation.
Background
With the continuous aggravation of global energy crisis and the increasingly prominent environmental problems, the great advantages of the electric automobile in energy conservation and emission reduction compared with the traditional automobile are paid attention by governments and automobile enterprises of various countries. The rapid development of the electric automobile industry drives the construction of electric automobile charging infrastructure, and countries in the world implement a series of incentive measures and invest a large amount of funds to support the construction of electric automobile charging stations and charging piles so as to meet the charging requirements of electric automobiles.
With the emergence of a series of standards related to electric vehicle charging infrastructures, energy supply enterprises are also put into the construction of electric vehicle charging infrastructures such as charging stations and charging piles. The 7 standards related to the technical conditions and the test specifications of the electric vehicle charging equipment are continuously updated and released, and the construction of the electric vehicle charging infrastructure is greatly developed.
With the construction and operation of a large number of electric vehicle charging devices, the charging reliability and safety thereof are becoming important concerns. The running state of the charging equipment of the electric automobile not only affects the reliability of the charging equipment, but also affects the service life of the power battery. Not only daily operation and maintenance of the electric automobile charging equipment is not neglected, but also fault monitoring in the charging process of the electric automobile charging equipment is of great importance.
The electric vehicle charging fault monitoring and early warning method has been studied, and a mobile monitoring and fault diagnosis system of electric vehicle charging pile equipment adopts a fault tree method to analyze and diagnose faults of charging piles. The detection technology of the charging facility and the application in the field classify and analyze the faults commonly found in the field detection. The method is used for analyzing the fault that the charging port indicator lamp is not on and not charged after the pure electric vehicle is inserted into the charging gun, and introduces the fault diagnosis method. Taking an EV300 electric vehicle charging system as an example, an electric vehicle charging system fault diagnosis method for a charging gun insertion sensing signal fault and a charging conducting signal fault is explored. The charging fault diagnosis method for the electric vehicle only focuses on the possible faults at the charger side, and the monitoring and early warning are not carried out on the possible faults at the battery management system side in the charging process.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an electric vehicle charging fault early warning method based on battery simulation.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a battery simulation-based electric vehicle charging fault early warning method, which is improved in that the method comprises the following steps:
monitoring actual charging state information of the electric automobile, charging state information of a non-vehicle-mounted charger and battery charging demand information of the electric automobile;
and performing charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile.
Preferably, the monitoring of the actual charging state information of the electric vehicle, the charging state information of the off-board charger, and the battery charging demand information of the electric vehicle includes:
monitoring a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric automobile in the communication process by utilizing a CAN bus monitoring technology;
analyzing a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric vehicle in the communication process respectively to obtain the actual charging state information of the electric vehicle, the charging state information of the non-vehicle-mounted charger and the battery charging demand information of the electric vehicle;
the actual charging state information of the electric automobile comprises charging current, charging voltage and battery SOC of the electric automobile in the actual charging process;
the charging state information of the off-board charger comprises charging current and charging voltage actually output by the off-board charger;
the battery charging demand information of the electric automobile comprises a battery charging current demand and a battery charging voltage demand of the electric automobile.
Preferably, the process of determining the simulated charge state information of the electric vehicle includes:
and simulating the charging response environment of the electric automobile by using the battery parameters of the electric automobile and the BMS simulation technology, and acquiring the simulated charging state information of the electric automobile in the charging response environment of the electric automobile.
Further, the battery parameters of the electric vehicle comprise:
the battery type, the number of battery groups, the rated capacity, the rated voltage, the initial temperature, the initial SOC, the maximum allowable charging current, the total maximum allowable charging voltage and the maximum allowable temperature of the battery of the electric automobile.
Further, the simulated charging state information of the electric vehicle comprises: the charging current, the charging voltage and the battery SOC of the electric vehicle in the simulated charging response environment.
Preferably, the charging fault early warning is performed on the electric vehicle based on actual charging state information of the electric vehicle, charging state information of an off-board charger, battery charging demand information of the electric vehicle, and simulated charging state information of the electric vehicle, and includes:
comparing the actual charging state information of the electric automobile with the simulated charging state information of the electric automobile to obtain a first comparison result;
comparing the charging state information of the off-board charger with the battery charging demand information of the electric automobile to obtain a second comparison result;
when the first comparison result meets the first constraint condition and the second comparison result meets the second constraint condition, a charging fault early warning is sent to the electric automobile;
wherein the first constraint condition comprises: the deviation value of the charging current and the charging voltage of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 2%, and the deviation value of the battery SOC of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 5%;
the second constraint includes: the deviation value of the charging current in the charging state information of the off-board charger and the charging current demand of the battery charging demand information of the electric automobile is less than 2%, and the deviation value of the charging voltage in the charging state information of the off-board charger and the charging voltage demand in the battery charging demand information of the electric automobile is less than 2%.
The invention provides a battery simulation-based electric vehicle charging fault early warning system, which is characterized by comprising the following components:
the monitoring module is used for monitoring the actual charging state information of the electric automobile, the charging state information of the off-board charger and the battery charging demand information of the electric automobile;
and the early warning module is used for carrying out charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile.
Preferably, the monitoring module includes:
the receiving unit is used for monitoring a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the electric vehicle BMS in the communication process by utilizing the CAN bus monitoring technology;
the analysis unit is used for analyzing a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric automobile in the communication process respectively to obtain the actual charging state information of the electric automobile, the charging state information of the non-vehicle-mounted charger and the battery charging demand information of the electric automobile;
the actual charging state information of the electric automobile comprises charging current, charging voltage and battery SOC of the electric automobile in the actual charging process;
the charging state information of the off-board charger comprises charging current and charging voltage actually output by the off-board charger;
the battery charging demand information of the electric automobile comprises a battery charging current demand and a battery charging voltage demand of the electric automobile.
Preferably, the process of determining the simulated charge state information of the electric vehicle includes:
and simulating the charging response environment of the electric automobile by using the battery parameters of the electric automobile and the BMS simulation technology, and acquiring the simulated charging state information of the electric automobile in the charging response environment of the electric automobile.
Further, the battery parameters of the electric vehicle comprise:
the battery type, the number of battery groups, the rated capacity, the rated voltage, the initial temperature, the initial SOC, the maximum allowable charging current, the total maximum allowable charging voltage and the maximum allowable temperature of the battery of the electric automobile.
Further, the simulated charging state information of the electric vehicle comprises: the charging current, the charging voltage and the battery SOC of the electric vehicle in the simulated charging response environment.
Preferably, the early warning module includes:
the first comparison unit is used for comparing the actual charging state information of the electric automobile with the simulated charging state information of the electric automobile to obtain a first comparison result;
the second comparison unit is used for comparing the charging state information of the off-board charger with the battery charging demand information of the electric automobile to obtain a second comparison result;
the early warning unit is used for sending charging fault early warning to the electric automobile when the first comparison result meets the first constraint condition and the second comparison result meets the second constraint condition;
wherein the first constraint condition comprises: the deviation value of the charging current and the charging voltage of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 2%, and the deviation value of the battery SOC of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 5%;
the second constraint includes: the deviation value of the charging current in the charging state information of the off-board charger and the charging current demand of the battery charging demand information of the electric automobile is less than 2%, and the deviation value of the charging voltage in the charging state information of the off-board charger and the charging voltage demand in the battery charging demand information of the electric automobile is less than 2%.
Compared with the closest prior art, the invention has the following beneficial effects:
according to the technical scheme provided by the invention, the actual charging state information of the electric automobile, the charging state information of the off-board charger and the battery charging demand information of the electric automobile are monitored; and performing charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile. According to the scheme, the charging parameters of the electric automobile side and the generator side are simultaneously considered, and the electric automobile sends out charging fault early warning based on the charging parameters, so that the recognition accuracy of the charging fault of the electric automobile is improved.
Drawings
FIG. 1 is a flow chart of an electric vehicle charging fault early warning method based on battery simulation;
FIG. 2 is a functional block diagram for implementing early warning of charging faults of an electric vehicle according to an embodiment of the present invention;
fig. 3 is a structural diagram of an electric vehicle charging fault early warning system based on battery simulation.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a battery simulation-based electric vehicle charging fault early warning method, which comprises the following steps of:
step 101, monitoring actual charging state information of the electric automobile, charging state information of an off-board charger and battery charging demand information of the electric automobile;
and 102, performing charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile.
In the best embodiment of the invention, a functional module diagram for realizing the early warning of the charging fault of the electric automobile is shown in fig. 2 and comprises a power automobile charging model, a measurement signal receiving module, a CAN bus monitoring module, a central data processing unit, an electric automobile and an off-board charger charging interaction module;
the power automobile charging model is used for simulating an electric automobile charging response environment according to battery parameters of the electric automobile and a BMS simulation technology, and inputting simulated charging state information of the electric automobile in the electric automobile charging response environment to the central data processing module; the human-computer interface module displays simulated electric vehicle simulation charging state information and provides an interface for setting battery parameters, can be manually set according to the type, specification and parameters of the electric vehicle power storage battery, and can also visually monitor the charging state of the battery in real time;
the measured signal receiving module transmits the measured actual charging current or voltage of the electric automobile to a power automobile charging model to simulate charging response;
the CAN bus monitoring module is used for monitoring a BCS message (a total battery charging state message), a CCS message (a total motor charging state message) and a BCL message (a battery charging demand message) in the communication process between the non-vehicle-mounted charger and the BMS of the electric vehicle.
The charging interaction module comprises an electric vehicle and an off-board charger, wherein in the third stage (charging stage) of the charging communication process between the off-board charger and an electric vehicle BMS, the BMS sends a battery charging demand message (BCL) and a battery charging total state message (BCS) to the off-board charger, and the off-board charger sends a charger charging state message (CCS) to the BMS.
The central data processing unit monitors actual charging state information of the electric automobile, charging state information of the off-board charger and charging demand information of the electric automobile by analyzing BCS messages, CCS messages and BCL messages monitored by the CAN bus monitoring module, compares simulated charging state information of the electric automobile in the charging response environment of the electric automobile with the actual charging state information of the electric automobile, and compares the charging state information of the off-board charger with the battery charging demand information of the electric automobile, thereby finding charging faults in time and sending out an alarm prompt.
Specifically, the step 101 includes:
step 101-1, monitoring a BCS message, a CCS message and a BCL message of an off-board charger and an electric vehicle BMS in a communication process by utilizing a CAN bus monitoring technology;
step 101-2, analyzing a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric vehicle in the communication process respectively to obtain actual charging state information of the electric vehicle, charging state information of the non-vehicle-mounted charger and battery charging demand information of the electric vehicle;
the actual charging state information of the electric automobile comprises charging current, charging voltage and battery SOC of the electric automobile in the actual charging process;
the charging state information of the off-board charger comprises charging current and charging voltage actually output by the off-board charger;
the battery charging demand information of the electric automobile comprises a battery charging current demand and a battery charging voltage demand of the electric automobile.
According to the CAN bus monitoring technology, a USBCAN-2I interface card is used as a CAN communication node to be connected to a CAN communication network of the non-vehicle-mounted charger and the battery management system, the CAN communication node is used as a third-party CAN monitoring unit, and only communication messages which are mutually sent between the non-vehicle-mounted charger and the electric vehicle battery management system according to a communication protocol in the charging communication process are received and analyzed.
Specifically, the process of determining the simulated charging state information of the electric vehicle includes:
and simulating the charging response environment of the electric automobile by using the battery parameters of the electric automobile and the BMS simulation technology, and acquiring the simulated charging state information of the electric automobile in the charging response environment of the electric automobile.
In the best embodiment of the invention, the charging mode of the electric automobile comprises constant current charging and constant voltage charging, and when the battery parameters of the electric automobile and the BMS simulation technology are used for simulating the charging response process of the electric automobile, the charging mode of the electric automobile is controlled by the BMS, and the open-circuit voltage U of the single power battery of the electric automobileocThe relation between the SOC and the nuclear power state of the battery is expressed by a Gregory L.Plett's composite model, and the load relation is as follows:
in the formula, K1、K2、K3、K4、K0The method is characterized in that the method comprises the steps of obtaining a recombination fitting coefficient under different battery types by a power automobile charging model parameter identification method, obtaining a recombination fitting coefficient under different battery types by the power automobile charging model parameter identification method, obtaining battery internal resistance characteristics by the power automobile charging model parameter identification method, and simulating the battery internal resistance characteristics by connecting two RC parallel circuits and ohmic internal resistance in series, wherein the battery internal resistance characteristics comprise polarization internal resistance caused by concentration polarization and electrochemical polarization and ohmic internal resistance characteristics caused by resistance polarization.
The simulation battery charging response of the power automobile charging model is based on the measured charging output, and charging response information such as voltage, current, SOC (system on chip), temperature and the like of the battery is obtained through simulation calculation. The expression of the SOC of the battery in the discrete time domain is:
wherein C is the cell capacity, η0As a reference coulombic efficiency, KSOCkIs a single battery SOC influence coefficient, KSOCkIs a single battery temperature influence coefficient, SOCkFor the battery capacity, SOC of the single battery in the k-th calculation periodk-1For the battery capacity of the single battery in the k-1 th calculation period, IC(k-1)Charging current of the single battery in the k-1 calculation period, and delta t is the duration of the calculation period;
in the constant current charging mode, the calculation formula of the charging voltage is as follows:
UTk＝fUoc(SOCk)+UP1k+UP2k+ICkROk
wherein, UP1kConcentration polarization voltage, U, for the cell in the k-th calculation cycleP2kElectrochemical polarization voltage, U, for the cell in the k-th calculation cycleP1(k-1)The concentration polarization voltage of the single battery in the k-1 calculation period, UP2(k-1)Electrochemical polarization voltage, f, for the cell at the k-1 calculation cycleUoc(SOCk) Open circuit voltage for cell at kth calculation cycle, ICkFor the charging current of the cell in the k-th calculation cycle, ROKFor the first polarization internal resistance, R, of the cell in the k-th calculation cycle1(k-1)Second polarization internal resistance, I, of the unit cell in the k-1 th calculation cycleC(k-1)Charging current, tau, for the cell at the k-1 calculation cycle1(k-1)First polarization time constant, R, for a cell in the k-1 calculation cycle2(k-1)Calculating the period of the k-1 th calculation for the single batteryThird polarization internal resistance, tau2(k-1)Calculating a second polarization time constant of the single battery in the k-1 th calculation period;
in the constant voltage charging mode, the calculation formula of the charging current is as follows:
wherein the content of the first and second substances,
the charging voltage of the single battery in the k-th calculation period is calculated.
The calculation formula of the battery temperature is as follows:
in the formula, QkFor cell heating of the cell in the k-th calculation cycle, Q1Is the unit heat of electrochemical reaction,. phikFor the battery heat dissipation, T, of the single battery in the k-th calculation cyclekFor the cell temperature, T, of the cell in the k-th calculation cyclek+1For the cell temperature, T, of the cell in the k +1 th calculation cyclemIs ambient temperature, RkThermal resistance of conduction process for the unit cell in the k-th calculation cycle, R1kSecond internal polarization resistance, R, for the cell in the k-th calculation cycle2kAnd the third polarization internal resistance of the single battery in the k-th calculation period is calculated.
Further, the battery parameters of the electric vehicle comprise:
the battery type, the number of battery groups, the rated capacity, the rated voltage, the initial temperature, the initial SOC, the maximum allowable charging current, the total maximum allowable charging voltage and the maximum allowable temperature of the battery of the electric automobile.
Further, the simulated charging state information of the electric vehicle in the electric vehicle charging response environment comprises: the charging current, the charging voltage and the battery SOC of the electric vehicle in the simulated charging response environment.
In the best embodiment of the invention, the charging response of the electric automobile can be simulated through the battery parameters of the electric automobile, the BMS simulation technology and the maximum output of the off-board charging pile connected with the electric automobile, and the charging process of the electric automobiles with different types and specifications of the electric automobiles can be simulated according to different parameters of the electric automobiles.
Specifically, the step 102 includes:
102-1, comparing the actual charging state information of the electric automobile with the simulated charging state information of the electric automobile to obtain a first comparison result;
102-2, comparing the charging state information of the off-board charger with the battery charging demand information of the electric automobile to obtain a second comparison result;
102-3, when the first comparison result meets the first constraint condition and the second comparison result meets the second constraint condition, sending a charging fault early warning to the electric automobile;
wherein the first constraint condition comprises: the deviation value of the charging current and the charging voltage of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 2%, and the deviation value of the battery SOC of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 5%;
the second constraint includes: the deviation value of the charging current in the charging state information of the off-board charger and the charging current demand of the battery charging demand information of the electric automobile is less than 2%, and the deviation value of the charging voltage in the charging state information of the off-board charger and the charging voltage demand in the battery charging demand information of the electric automobile is less than 2%.
In the preferred embodiment of the present invention, more than 10 types of failure including BMS malfunction can be identified by comparing the charge state information deviation values.
In the best embodiment of the invention, a CAN bus monitoring technology is utilized to analyze CAN communication messages of a Battery Management System (BMS) of an off-board charger and an electric vehicle in a charging process, obtain charging state information of the off-board charger and the electric vehicle and charging demand information of the electric vehicle in real time, compare the simulated charging state information of the electric vehicle with the charging state information of the electric vehicle, and compare the charging state information of the off-board charger with the charging demand information of the electric vehicle to judge whether the charging process is normal or not. If the difference between the voltage and the current in the simulated charging state information of the electric automobile and the voltage and the current of the battery in the actual charging state is less than 2%, the difference between the SOC of the battery in the simulated charging state information of the electric automobile and the SOC of the battery in the actual charging state is less than 5%, and meanwhile, the difference between the charging voltage and the current of the off-board charger and the charging voltage requirement and the current requirement of the electric automobile is less than 2%, the charging process is normal, otherwise, the charging process is wrong, the difference information is specifically analyzed, the charging fault information can be determined, and the charging fault early warning is realized.
The invention provides a battery simulation-based electric vehicle charging fault early warning system, which is characterized by comprising the following components:
the monitoring module is used for monitoring the actual charging state information of the electric automobile, the charging state information of the off-board charger and the battery charging demand information of the electric automobile;
and the early warning module is used for carrying out charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile.
Specifically, the monitoring module includes:
the receiving unit is used for monitoring a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the electric vehicle BMS in the communication process by utilizing the CAN bus monitoring technology;
the analysis unit is used for analyzing a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric automobile in the communication process respectively to obtain the actual charging state information of the electric automobile, the charging state information of the non-vehicle-mounted charger and the battery charging demand information of the electric automobile;
the actual charging state information of the electric automobile comprises charging current, charging voltage and battery SOC of the electric automobile in the actual charging process;
the charging state information of the off-board charger comprises charging current and charging voltage actually output by the off-board charger;
the battery charging demand information of the electric automobile comprises a battery charging current demand and a battery charging voltage demand of the electric automobile.
Specifically, the process of determining the simulated charging state information of the electric vehicle includes:
and simulating the charging response environment of the electric automobile by using the battery parameters of the electric automobile and the BMS simulation technology, and acquiring the simulated charging state information of the electric automobile in the charging response environment of the electric automobile.
Further, the battery parameters of the electric vehicle comprise:
the battery type, the number of battery groups, the rated capacity, the rated voltage, the initial temperature, the initial SOC, the maximum allowable charging current, the total maximum allowable charging voltage and the maximum allowable temperature of the battery of the electric automobile.
Further, the simulated charging state information of the electric vehicle comprises: the charging current, the charging voltage and the battery SOC of the electric vehicle in the simulated charging response environment.
Specifically, the early warning module includes:
the first comparison unit is used for comparing the actual charging state information of the electric automobile with the simulated charging state information of the electric automobile to obtain a first comparison result;
the second comparison unit is used for comparing the charging state information of the off-board charger with the battery charging demand information of the electric automobile to obtain a second comparison result;
the early warning unit is used for sending charging fault early warning to the electric automobile when the first comparison result meets the first constraint condition and the second comparison result meets the second constraint condition;
wherein the first constraint condition comprises: the deviation value of the charging current and the charging voltage of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 2%, and the deviation value of the battery SOC of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 5%;
the second constraint includes: the deviation value of the charging current in the charging state information of the off-board charger and the charging current demand of the battery charging demand information of the electric automobile is less than 2%, and the deviation value of the charging voltage in the charging state information of the off-board charger and the charging voltage demand in the battery charging demand information of the electric automobile is less than 2%.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (12)
1. An electric vehicle charging fault early warning method based on battery simulation is characterized by comprising the following steps:
monitoring actual charging state information of the electric automobile, charging state information of a non-vehicle-mounted charger and battery charging demand information of the electric automobile;
and performing charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile.
2. The method of claim 1, wherein the monitoring of the actual state of charge information of the electric vehicle, the state of charge information of the off-board charger, and the battery charging demand information of the electric vehicle comprises:
monitoring a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric automobile in the communication process by utilizing a CAN bus monitoring technology;
analyzing a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric vehicle in the communication process respectively to obtain the actual charging state information of the electric vehicle, the charging state information of the non-vehicle-mounted charger and the battery charging demand information of the electric vehicle;
the actual charging state information of the electric automobile comprises charging current, charging voltage and battery SOC of the electric automobile in the actual charging process;
the charging state information of the off-board charger comprises charging current and charging voltage actually output by the off-board charger;
the battery charging demand information of the electric automobile comprises a battery charging current demand and a battery charging voltage demand of the electric automobile.
3. The method of claim 1, wherein the determining of the simulated state of charge information for the electric vehicle comprises:
and simulating the charging response environment of the electric automobile by using the battery parameters of the electric automobile and the BMS simulation technology, and acquiring the simulated charging state information of the electric automobile in the simulated charging response environment.
4. The method of claim 3, wherein the battery parameters of the electric vehicle comprise:
the battery type, the number of battery groups, the rated capacity, the rated voltage, the initial temperature, the initial SOC, the maximum allowable charging current, the total maximum allowable charging voltage and the maximum allowable temperature of the battery of the electric automobile.
5. The method of claim 3, wherein the simulated state of charge information for the electric vehicle comprises: the electric automobile responds to the charging current, the charging voltage and the battery SOC of the environment during the electric automobile charging.
6. The method of claim 1, wherein the performing charging fault pre-warning on the electric vehicle based on the actual charging state information of the electric vehicle, the charging state information of the off-board charger, the battery charging demand information of the electric vehicle, and the simulated charging state information of the electric vehicle comprises:
comparing the actual charging state information of the electric automobile with the simulated charging state information of the electric automobile to obtain a first comparison result;
comparing the charging state information of the off-board charger with the battery charging demand information of the electric automobile to obtain a second comparison result;
when the first comparison result meets the first constraint condition and the second comparison result meets the second constraint condition, a charging fault early warning is sent to the electric automobile;
wherein the first constraint condition comprises: the deviation value of the charging current and the charging voltage of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 2%, and the deviation value of the battery SOC of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 5%;
the second constraint includes: the deviation value of the charging current in the charging state information of the off-board charger and the charging current demand of the battery charging demand information of the electric automobile is less than 2%, and the deviation value of the charging voltage in the charging state information of the off-board charger and the charging voltage demand in the battery charging demand information of the electric automobile is less than 2%.
7. The utility model provides an electric automobile charging fault early warning system based on battery emulation which characterized in that, the system includes:
the monitoring module is used for monitoring the actual charging state information of the electric automobile, the charging state information of the off-board charger and the battery charging demand information of the electric automobile;
and the early warning module is used for carrying out charging fault early warning on the electric automobile based on the actual charging state information of the electric automobile, the charging state information of the off-board charger, the battery charging demand information of the electric automobile and the simulated charging state information of the electric automobile.
8. The system of claim 7, wherein the monitoring module comprises:
the receiving unit is used for receiving a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the electric vehicle BMS in the communication process by utilizing the CAN bus monitoring technology;
the analysis unit is used for analyzing a BCS message, a CCS message and a BCL message of the non-vehicle-mounted charger and the BMS of the electric automobile in the communication process respectively to obtain the actual charging state information of the electric automobile, the charging state information of the non-vehicle-mounted charger and the battery charging demand information of the electric automobile;
the actual charging information of the electric automobile comprises charging current, charging voltage and battery SOC of the electric automobile in the actual charging process;
the charging state information of the off-board charger comprises charging current and charging voltage actually output by the off-board charger;
the battery charging demand information of the electric automobile comprises a battery charging current demand and a battery charging voltage demand of the electric automobile.
9. The system of claim 7, wherein the determination of the simulated state of charge information for the electric vehicle comprises:
and simulating the charging response environment of the electric automobile by using the battery parameters of the electric automobile and the BMS simulation technology, and acquiring the simulated charging state information of the electric automobile in the charging response environment of the electric automobile.
10. The system of claim 9, wherein the battery parameters of the electric vehicle comprise:
the battery type, the number of battery groups, the rated capacity, the rated voltage, the initial temperature, the initial SOC, the maximum allowable charging current, the total maximum allowable charging voltage and the maximum allowable temperature of the battery of the electric automobile.
11. The system of claim 9, wherein the simulated state of charge information for the electric vehicle comprises: the charging current, the charging voltage and the battery SOC of the electric vehicle in the simulated charging response environment.
12. The system of claim 7, wherein the early warning module comprises:
the first comparison unit is used for comparing the actual charging state information of the electric automobile with the simulated charging state information of the electric automobile to obtain a first comparison result;
the second comparison unit is used for comparing the charging state information of the off-board charger with the battery charging demand information of the electric automobile to obtain a second comparison result;
the early warning unit is used for sending charging fault early warning to the electric automobile when the first comparison result meets the first constraint condition and the second comparison result meets the second constraint condition;
wherein the first constraint condition comprises: the deviation value of the charging current and the charging voltage of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 2%, and the deviation value of the battery SOC of the actual charging state information of the electric automobile and the simulated charging state information of the electric automobile is less than 5%;
the second constraint includes: the deviation value of the charging current in the charging state information of the off-board charger and the charging current demand of the battery charging demand information of the electric automobile is less than 2%, and the deviation value of the charging voltage in the charging state information of the off-board charger and the charging voltage demand in the battery charging demand information of the electric automobile is less than 2%.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114490836A (en) * | 2022-04-15 | 2022-05-13 | 国网天津市电力公司电力科学研究院 | Data mining processing method suitable for electric vehicle charging fault |
| CN115273430A (en) * | 2022-08-29 | 2022-11-01 | 北华航天工业学院 | Electric automobile charging safety protection early warning system |
| CN116149801A (en) * | 2023-04-18 | 2023-05-23 | 商飞软件有限公司 | Airborne maintenance and health management simulation system and simulation method |
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2020
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114490836A (en) * | 2022-04-15 | 2022-05-13 | 国网天津市电力公司电力科学研究院 | Data mining processing method suitable for electric vehicle charging fault |
| CN115273430A (en) * | 2022-08-29 | 2022-11-01 | 北华航天工业学院 | Electric automobile charging safety protection early warning system |
| CN116149801A (en) * | 2023-04-18 | 2023-05-23 | 商飞软件有限公司 | Airborne maintenance and health management simulation system and simulation method |
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