CN112986836B - Electric vehicle battery fire monitoring and early warning method based on dynamic data - Google Patents

Electric vehicle battery fire monitoring and early warning method based on dynamic data Download PDF

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CN112986836B
CN112986836B CN202110519647.5A CN202110519647A CN112986836B CN 112986836 B CN112986836 B CN 112986836B CN 202110519647 A CN202110519647 A CN 202110519647A CN 112986836 B CN112986836 B CN 112986836B
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charging
battery
temperature
voltage
discharging
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CN112986836A (en
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黄国忠
王宇
欧盛南
张顶立
郭兆敏
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University of Science and Technology Beijing USTB
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University of Science and Technology Beijing USTB
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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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/005—Testing of electric installations on transport means
    • G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/3644—Constructional arrangements
    • G01R31/3646—Constructional arrangements for indicating electrical conditions or variables, e.g. visual or audible indicators
    • 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
    • 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]
    • G01R31/385—Arrangements for measuring battery or accumulator variables

Abstract

The invention discloses a dynamic data-based electric vehicle battery fire monitoring and early warning method, which comprises the following steps: preparing the same number of electric automobile batteries with the same model and with the SOC of 20%, 50% and 100%, and averagely dividing each battery into a plurality of groups; respectively carrying out charging and discharging tests on each group of batteries, collecting temperature, voltage and current data at different time points in the charging and discharging processes, and carrying out classified storage; carrying out linear fitting analysis on the same data of each time point in the charging and discharging processes to obtain dynamic data of temperature, voltage and current of batteries with different capacities in the charging and discharging processes; a temperature-voltage-current sensor and an alarm device are arranged on a battery of the electric automobile, and the alarm device is triggered when the temperature, the voltage and the current of the battery exceed set critical values in the charging or discharging process. The invention can accurately monitor the batteries in different states from a plurality of parameters, and effectively avoid the occurrence of battery fire.

Description

Electric vehicle battery fire monitoring and early warning method based on dynamic data
Technical Field
The invention relates to the technical field of monitoring and early warning of power systems, in particular to a dynamic data-based electric vehicle battery fire monitoring and early warning method.
Background
With the improvement of living standard and quality of life of people, the requirement on living environment is higher and higher, but the current air quality is worse and worse. At present, automobiles become a tool for replacing walking of ordinary families, and with the increasing use number of automobiles, the emission of a large amount of automobile exhaust further aggravates the environmental pollution, so that the generation of new energy automobiles is promoted.
The quality of the battery directly concerns the overall operation condition of the new energy automobile, and once the automobile battery has accidents such as fire and the like, the automobile battery is easy to cause personal injury and death and property loss for driving people. Therefore, in order to ensure the normal and safe use of the battery, the charging and discharging processes of the battery must be detected.
However, an effective monitoring method is lacking or is single at present, and batteries in different states cannot be accurately monitored from multiple parameters, so that battery fire cannot be effectively avoided.
Disclosure of Invention
The invention aims to provide a dynamic data-based electric vehicle battery fire monitoring and early warning method, which aims to solve the problem that an effective monitoring means is lacked in the prior art, accurately monitor an electric vehicle battery and avoid battery fire.
To solve the above technical problem, an embodiment of the present invention provides the following solutions:
a dynamic data-based electric vehicle battery fire monitoring and early warning method comprises the following steps:
s1, preparing the same number of electric automobile batteries with the same model and with the SOC of 20%, 50% and 100%, and averagely dividing each battery into a plurality of groups;
s2, performing charging and discharging tests on each battery pack respectively, collecting temperature, voltage and current data at different time points in the charging and discharging processes, and performing classified storage;
s3, performing linear fitting analysis on the same data at each time point in the charging and discharging processes to obtain dynamic data of temperature, voltage and current of batteries with different capacities in the charging and discharging processes;
and S4, mounting a temperature-voltage-current sensor and an alarm device on the battery of the electric automobile, and triggering the alarm device when the temperature, the voltage and the current of the battery exceed set critical values in the charging or discharging process.
Preferably, in step S1, 100 electric vehicle batteries of the same model with states of charge SOC of 20%, 50%, and 100% are prepared, each battery is divided into two groups, and each group includes 50 batteries on average;
the collected starting point is the charging or discharging starting point, the collected end point is the charging or discharging end point, and the obtained dynamic data is recorded as:
and (3) charging process:
temperature: t is20% charging 1、T20% charging 2……T20% charging 50，T50% charging 1、T50% charging 2……T50% charging 50，T100% charging 1、T100% charge 2……T100% charge 50；
Voltage: u shape20% charging 1、U20% charging 2……U20% charging 50，U50% charging 1、U50% charging 2……U50% charging 50，U100% charging 1、U100% charge 2……U100% charge 50；
Current: i is20% charging 1、I20% charging 2……I20% charging 50，I50% charging 1、I50% charging 2……I50% charging 50，I100% charging 1、I100% charge 2……I100% charge 50；
And (3) discharging:
temperature: t is20% placing 1、T20% standing for 2……T20% to 50%，T50% placing 1、T50% standing for 2%……T50% at 50%，T100% to put 1、T100% to put 2……T100% at 50；
Voltage: u shape20% placing 1、U20% standing for 2……U20% to 50%，U50% placing 1、U50% standing for 2%……U50% at 50%，U100% to put 1、U100% to put 2……U100% at 50；
Current: i is20% placing 1、I20% standing for 2……I20% to 50%，I50% placing 1、I50% standing for 2%……I50% at 50%，I100% to put 1、I100% to put 2……I100% at 50；
T 'is recorded as dynamic data in the charging and discharging processes'Charging device，T’Put，U’Charging device，U’Put，I’Charging device，I’Put。
Preferably, the threshold value set in the alarm device varies according to the service life of the battery of the electric vehicle.
Preferably, the charging and discharging processes are carried out under the standard voltage, current and temperature specified by the state, and the charging and discharging are carried out according to the mode specified by the battery model specification.
Preferably, the size, nominal capacity and production date of the electric automobile battery used for the test are consistent, and the service life is lower than the specified service life.
Preferably, the temperature-voltage-current sensor comprises a sensor main board and a temperature sensing element, wherein the temperature sensing element is used for monitoring temperature changes in the charging and discharging processes, and the sensor main board is used for monitoring voltage and current changes in the charging and discharging processes.
Preferably, the alarm device comprises a short message prompter and a sound alarm, when the temperature, the voltage and the current of the battery exceed set critical values, the short message prompter informs the vehicle owner through a short message, and the sound alarm informs the vehicle owner through sound.
Preferably, the type of the electric vehicle battery comprises a lithium battery, a lead-acid storage battery, a nickel-metal hydride battery, a sodium-sulfur battery and an air battery.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
in the embodiment of the invention, the same number of storage batteries of the electric automobile with the same model and the charge states of 20%, 50% and 100% respectively are prepared, and each battery is averagely divided into a plurality of groups; respectively carrying out charging and discharging tests on each group of batteries, collecting temperature, voltage and current data at different time points in the charging and discharging processes, and carrying out classified storage; carrying out linear fitting on the battery data of each group at the same time point to obtain dynamic data of temperature, voltage and current of batteries with different capacities in the charging and discharging processes; a temperature-voltage-current sensor and an alarm device are arranged on a battery of the electric automobile, and when the temperature, the voltage and the current of the battery exceed set critical values in the charging or discharging process, the early warning device is triggered. The method for monitoring the battery of the electric automobile can accurately monitor the batteries in different states from a plurality of parameters, thereby effectively avoiding the occurrence of battery fire.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart of a dynamic data-based fire monitoring and early warning method for an electric vehicle battery according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the internal structure of a temperature-voltage-current sensor and an alarm device provided in the embodiment of the present invention;
fig. 3 is an external view of a temperature-voltage-current sensor and an alarm device provided in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The embodiment of the invention provides a dynamic data-based electric vehicle battery fire monitoring and early warning method, which comprises the following steps of:
s1, preparing the same number of electric automobile batteries with the same model and the same state of charge (SOC) of 20%, 50% and 100%, and averagely dividing each battery into a plurality of groups;
specifically, in this step, 100 electric vehicle batteries of the same type having states of charge (SOCs) of 20%, 50%, and 100% are prepared, and each battery is divided into two groups of 50 batteries on average.
S2, performing charging and discharging tests on each battery pack respectively, collecting temperature, voltage and current data at different time points in the charging and discharging processes, and performing classified storage;
in this step, the collected starting point is a charging or discharging starting point, the collected end point is a charging or discharging end point, and the obtained dynamic data is recorded as:
(1) and (3) charging process:
temperature: t is20% charging 1、T20% charging 2……T20% charging 50，T50% charging 1、T50% charging 2……T50% charging 50，T100% charging 1、T100% charge 2……T100% charge 50；
Voltage: u shape20% charging 1、U20% charging 2……U20% charging 50，U50% charging 1、U50% charging 2……U50% charging 50，U100% charging 1、U100% charge 2……U100% charge 50；
Current: i is20% charging 1、I20% charging 2……I20% charging 50，I50% charging 1、I50% charging 2……I50% charging 50，I100% charging 1、I100% charge 2……I100% charge 50；
(2) And (3) discharging:
temperature: t is20% placing 1、T20% standing for 2……T20% to 50%，T50% placing 1、T50% standing for 2%……T50% at 50%，T100% to put 1、T100% to put 2……T100% at 50；
Voltage: u shape20% placing 1、U20% standing for 2……U20% to 50%，U50% placing 1、U50% standing for 2%……U50% at 50%，U100% to put 1、U100% to put 2……U100% at 50；
Current: i is20% placing 1、I20% standing for 2……I20% to 50%，I50% placing 1、I50% standing for 2%……I50% at 50%，I100% to put 1、I100% to put 2……I100% at 50。
S3, performing linear fitting analysis on the same data at each time point in the charging and discharging processes to obtain dynamic data of temperature, voltage and current of batteries with different capacities in the charging and discharging processes;
in this step, the dynamic data during the charging and discharging process are respectively recorded as T'Charging device，T’Put，U’Charging device，U’Put，I’Charging device，I’Put。
And S4, mounting a temperature-voltage-current sensor and an alarm device on the battery of the electric automobile, and triggering the alarm device when the temperature, the voltage and the current of the battery exceed set critical values in the charging or discharging process.
Furthermore, as the dynamic data is used as the basic data of the battery of the type, the data will change with the increase of the service life of the battery of the electric vehicle, so the critical value set in the alarm device should change with the data. Therefore, in the embodiment of the invention, the threshold value set in the alarm device varies according to the service life of the battery of the electric automobile.
Further, the charging and discharging processes are carried out under the standard voltage, current and temperature specified by the state, and the charging and discharging are carried out according to the mode specified by the battery model specification.
Further, in order to improve the accuracy of the test, the size, the nominal capacity and the production date of the electric automobile battery used for the test are consistent, and the service life is shorter than the specified service life.
Further, as shown in fig. 2, the temperature-voltage-current sensor includes a sensor board 1 and a temperature sensing element 2, when the battery is in a charging or discharging process, the temperature sensing element 2 monitors a temperature change in the charging or discharging process, and the sensor board 1 monitors a voltage change and a current change in the charging or discharging process. The alarm device comprises a short message prompter 3 and a sound alarm 4, when the temperature, the voltage and the current of the battery exceed set critical values, the short message prompter 3 informs a vehicle owner through a short message, and the sound alarm 4 informs the vehicle owner through sound. In the embodiment of the invention, the temperature-voltage-current sensor and the alarm device are integrated into an integrated component, so that the temperature-voltage-current sensor and the alarm device are convenient to install and configure, as shown in fig. 3.
Further, the types of the electric vehicle battery include a lithium battery, a lead-acid battery, a nickel-metal hydride battery, a sodium-sulfur battery, an air battery, and the like.
In summary, in the embodiment of the present invention, the same number of electric vehicle storage batteries with the same model and the same charge states of 20%, 50%, and 100% are prepared, and each battery is averagely divided into a plurality of groups; respectively carrying out charging and discharging tests on each group of batteries, collecting temperature, voltage and current data at different time points in the charging and discharging processes, and carrying out classified storage; carrying out linear fitting on the battery data of each group at the same time point to obtain dynamic data of temperature, voltage and current of batteries with different capacities in the charging and discharging processes; a temperature-voltage-current sensor and an alarm device are arranged on a battery of the electric automobile, and when the temperature, the voltage and the current of the battery exceed set critical values in the charging or discharging process, the early warning device is triggered. The method for monitoring the battery of the electric automobile can accurately monitor the batteries in different states from a plurality of parameters, thereby effectively avoiding the occurrence of battery fire.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (7)

1. A dynamic data-based electric vehicle battery fire monitoring and early warning method is characterized by comprising the following steps:
s1, preparing the same number of electric automobile batteries with the same model and with the SOC of 20%, 50% and 100%, and averagely dividing each battery into a plurality of groups;
s2, performing charging and discharging tests on each battery pack respectively, collecting temperature, voltage and current data at different time points in the charging and discharging processes, and performing classified storage;
s3, performing linear fitting analysis on the same data at each time point in the charging and discharging processes to obtain dynamic data of temperature, voltage and current of batteries with different capacities in the charging and discharging processes;
s4, installing a temperature-voltage-current sensor and an alarm device on the battery of the electric automobile, and triggering the alarm device when the temperature, the voltage and the current of the battery exceed set critical values in the charging or discharging process;
in the step S1, 100 electric vehicle batteries of the same type with respective states of charge SOC of 20%, 50%, and 100% are prepared, each battery is divided into two groups, and each group includes 50 batteries;
the collected starting point is the charging or discharging starting point, the collected end point is the charging or discharging end point, and the obtained dynamic data is recorded as:
and (3) charging process:
temperature: t is20% charging 1、T20% charging 2……T20% charging 50，T50% charging 1、T50% charging 2……T50% charging 50，T100% charging 1、T100% charge 2……T100% charge 50；
Voltage: u shape20% charging 1、U20% charging 2……U20% charging 50，U50% charging 1、U50% charging 2……U50% charging 50，U100% charging 1、U100% charge 2……U100% charge 50；
Current: i is20% charging 1、I20% charging 2……I20% charging 50，I50% charging 1、I50% charging 2……I50% charging 50，I100% charging 1、I100% charge 2……I100% charge 50；
And (3) discharging:
temperature: t is20% placing 1、T20% standing for 2……T20% to 50%，T50% placing 1、T50% standing for 2%……T50% at 50%，T100% to put 1、T100% to put 2……TAt 100% of50；
Voltage: u shape20% placing 1、U20% standing for 2……U20% to 50%，U50% placing 1、U50% standing for 2%……U50% at 50%，U100% to put 1、U100% to put 2……U100% at 50；
Current: i is20% placing 1、I20% standing for 2……I20% to 50%，I50% placing 1、I50% standing for 2%……I50% at 50%，I100% to put 1、I100% to put 2……I100% at 50；
T 'is recorded as dynamic data in the charging and discharging processes'Charging device，T’Put，U’Charging device，U’Put，I’Charging device，I’Put。
2. The dynamic data-based fire monitoring and early warning method for the battery of the electric vehicle as recited in claim 1, wherein the threshold value set in the warning device varies according to the service life of the battery of the electric vehicle.
3. The electric vehicle battery fire monitoring and early warning method based on dynamic data as claimed in claim 1, wherein the charging and discharging processes are performed under national standard voltage, current and temperature, and charging and discharging are performed according to the mode specified by the battery model specification.
4. The electric vehicle battery fire monitoring and early warning method based on dynamic data as claimed in claim 1, wherein the size, nominal capacity and production date of the electric vehicle battery used for testing are consistent, and the service life is lower than the specified service life.
5. The electric vehicle battery fire monitoring and early warning method based on dynamic data as claimed in claim 1, wherein the temperature-voltage-current sensor comprises a sensor main board and a temperature sensing element, the temperature sensing element is used for monitoring temperature changes in the charging and discharging processes, and the sensor main board is used for monitoring voltage and current changes in the charging and discharging processes.
6. The dynamic data-based electric vehicle battery fire monitoring and early warning method as claimed in claim 1, wherein the warning device comprises a short message prompter and an audible alarm, when the temperature, voltage and current of the battery exceed preset critical values, the short message prompter notifies a vehicle owner through a short message, and the audible alarm notifies the vehicle owner through sound.
7. The electric vehicle battery fire monitoring and early warning method based on dynamic data as claimed in claim 1, wherein the type of the electric vehicle battery comprises a lithium battery, a lead-acid storage battery, a nickel-hydrogen battery, a sodium-sulfur battery and an air battery.
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