CN115792629B - Alarm monitoring system and method for lithium battery energy storage - Google Patents

Alarm monitoring system and method for lithium battery energy storage Download PDF

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CN115792629B
CN115792629B CN202211457014.7A CN202211457014A CN115792629B CN 115792629 B CN115792629 B CN 115792629B CN 202211457014 A CN202211457014 A CN 202211457014A CN 115792629 B CN115792629 B CN 115792629B
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lithium battery
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energy storage
charge
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CN115792629A (en
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张福义
邓佳杰
林键宏
覃开佳
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Huizhou Inboli Electronic Technology Co ltd
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Abstract

The invention provides an alarm monitoring system and method for energy storage of a lithium battery. The alarm monitoring method comprises the following steps: collecting operation data of an energy storage process of the lithium battery in real time; uploading the operation data to an operation control platform, and determining whether the current lithium battery operates normally or not by the operation control platform through preset threshold parameters corresponding to each data type in the operation data; and remotely controlling the operation of the lithium battery and alarming according to the normal judgment result of the current operation of the lithium battery. The system comprises modules corresponding to the steps of the method.

Description

Alarm monitoring system and method for lithium battery energy storage
Technical Field
The invention provides an alarm monitoring system and method for energy storage of a lithium battery, and belongs to the technical field of lithium batteries.
Background
The lithium ion battery is a chargeable and dischargeable battery with limited charge and discharge times, and a special alarm system or module is required to be arranged to monitor the operation of the lithium ion battery in the charge and discharge process of the existing lithium ion battery, however, the existing lithium battery energy storage alarm monitoring system has inaccurate alarm monitoring and higher false alarm times.
Disclosure of Invention
The invention provides an alarm monitoring system and method for lithium battery energy storage, which are used for solving the problems of inaccurate alarm monitoring and higher false alarm times of the lithium battery energy storage alarm monitoring system in the prior art, and the adopted technical scheme is as follows:
an alarm monitoring method for lithium battery energy storage, the alarm monitoring method comprising:
collecting operation data of an energy storage process of the lithium battery in real time;
uploading the operation data to an operation control platform, and determining whether the current lithium battery operates normally or not by the operation control platform through preset threshold parameters corresponding to each data type in the operation data;
and remotely controlling the operation of the lithium battery and alarming according to the normal judgment result of the current operation of the lithium battery.
Further, the operation data of the lithium battery energy storage process is collected in real time, including:
collecting leakage detection data in the lithium battery energy storage process in real time;
collecting temperature detection data of the lithium battery energy storage process in real time;
collecting environmental humidity detection data in the lithium battery energy storage process in real time;
collecting charge and discharge detection data in the lithium battery energy storage process in real time;
the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
Further, uploading the operation data to an operation control platform, wherein the operation control platform determines whether the current lithium battery operates normally or not through a preset threshold parameter corresponding to each data type in the operation data, and the method comprises the following steps:
uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to an operation control platform;
the operation control platform respectively compares the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge-discharge detection data with corresponding preset threshold parameters, and when any one of the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge-discharge detection data exceeds the corresponding preset threshold parameters, the operation of the lithium battery is evaluated by utilizing the comprehensive evaluation model to obtain an evaluation score;
comparing the evaluation score with a preset evaluation score threshold, and determining that the current lithium battery is not normally operated when the evaluation score is lower than the preset evaluation score threshold.
Further, the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 0i Representing a preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to an ith parameter type when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge-discharge detection data exceeds a preset threshold parameter corresponding to the data parameter values.
Further, according to the normal judgment result of the current lithium battery operation, the lithium battery operation and alarm are remotely controlled, including:
when the current lithium battery operation is determined to be in a normal state, performing text early warning on the operation control platform interface, and adjusting the threshold parameter by using a threshold adjustment model to obtain an adjusted threshold parameter;
monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge-discharge detection data in the lithium battery energy storage process exceed adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and giving an audible alarm when any one of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding adjusted threshold parameters; wherein the threshold adjustment model is as follows:
wherein W is 11 、W 12 、W 13 And W is 14 Respectively represents the adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge-discharge detection data, and when W 11 、W 12 、W 13 And W is 14 As the adjusted threshold parameter, if it exceeds the dangerous limit value S corresponding to the data type, making it equal to 0.94S; w (W) 01 、W 02 、W 03 And W is 04 Respectively representing preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) p1 、W p2 、W p3 And W is p4 Average parameter data corresponding to electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) max1 、W max2 、W max3 And W is max4 The maximum parameter data of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) min2 And W is min3 Respectively representing the minimum values corresponding to the temperature detection data and the environmental humidity detection data in the lithium battery energy storage process; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
when the current lithium battery is determined to be in an abnormal state, the lithium battery is remotely controlled to stop running and alarm.
An alarm monitoring system for lithium battery energy storage, the alarm monitoring system comprising:
the real-time acquisition module is used for acquiring the operation data of the lithium battery energy storage process in real time;
the operation determining module is used for uploading the operation data to an operation control platform, and the operation control platform determines whether the current lithium battery operates normally or not through preset threshold parameters corresponding to each data type in the operation data;
and the alarm module is used for remotely controlling the operation and alarm of the lithium battery according to the normal judgment result of the current operation of the lithium battery.
Further, the real-time acquisition module includes:
the first acquisition module is used for acquiring leakage detection data in the lithium battery energy storage process in real time;
the second acquisition module is used for acquiring temperature detection data of the lithium battery energy storage process in real time;
the third acquisition module is used for acquiring environmental humidity detection data in the lithium battery energy storage process in real time;
the fourth acquisition module is used for acquiring charge and discharge detection data in the energy storage process of the lithium battery in real time;
the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
Further, the operation determination module includes:
the uploading module is used for uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to the operation control platform;
the comparison and evaluation module is used for respectively comparing the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and evaluating the operation of the lithium battery by utilizing the comprehensive evaluation model when any one of the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameters to obtain an evaluation score;
and the operation judging module is used for comparing the evaluation score with a preset evaluation score threshold value, and determining that the current lithium battery is not normally operated when the evaluation score is lower than the preset evaluation score threshold value.
Further, the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 0i Representing a preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to an ith parameter type when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge-discharge detection data exceeds a preset threshold parameter corresponding to the data parameter values.
Further, the alarm module includes:
the threshold value adjusting module is used for carrying out text early warning on the operation control platform interface when the current lithium battery operation is determined to be in a normal state, and adjusting the threshold value parameters by using a threshold value adjusting model to obtain adjusted threshold value parameters;
the first alarm module is used for monitoring whether the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data in the lithium battery energy storage process exceed the adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and giving an audible alarm when any one of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding adjusted threshold parameters; the threshold value parameter corresponding to each parameter data is lower than the dangerous limit value of each parameter data in the operation process of the lithium battery energy storage system, the range is 0.78S-0.83S, S represents the dangerous limit value of each parameter data, and the threshold value adjustment model is as follows:
wherein W is 11 、W 12 、W 13 And W is 14 Respectively representing adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 01 、W 02 、W 03 And W is 04 Respectively representing preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) p1 、W p2 、W p3 And W is p4 Average parameter data corresponding to electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) max1 、W max2 、W max3 And W is max4 The maximum parameter data of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) min2 And W is min3 Respectively representing the minimum values corresponding to the temperature detection data and the environmental humidity detection data in the lithium battery energy storage process; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
and the second alarm module is used for remotely controlling the lithium battery to stop running and giving an alarm when the current lithium battery is determined to be in an abnormal state.
The invention has the beneficial effects that:
according to the alarm monitoring system and method for lithium battery energy storage, provided by the invention, the evaluation score and the threshold parameter adjustment obtained by comprehensively evaluating all data information detected in the actual operation process of the lithium battery energy storage system can be used for effectively early warning before dangerous accidents occur completely in the lithium battery energy storage system; the pre-warning performance can be guaranteed through the setting of the threshold value parameters, dangerous accidents are effectively prevented, and the problem that no warning is caused due to too advanced setting can be effectively avoided. On the other hand, the re-threshold calibration is carried out through adjustment of threshold parameters, so that the early warning accuracy and timeliness of the lithium battery energy storage system can be effectively improved, and the operation safety of the lithium battery energy storage system is further effectively improved.
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FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system block diagram of the system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides an alarm monitoring method for lithium battery energy storage, as shown in fig. 1, comprising the following steps:
s1, collecting operation data of an energy storage process of a lithium battery in real time;
s2, uploading the operation data to an operation control platform, and determining whether the current lithium battery operates normally or not by the operation control platform through preset threshold parameters corresponding to each data type in the operation data;
and S3, remotely controlling the operation of the lithium battery and alarming according to the normal judgment result of the current operation of the lithium battery.
Specifically, the operation data of lithium cell energy storage process is gathered in real time, includes:
s101, collecting leakage detection data in the lithium battery energy storage process in real time;
s102, acquiring temperature detection data of an energy storage process of the lithium battery in real time;
s103, acquiring environmental humidity detection data of the lithium battery energy storage process in real time;
s104, collecting charge and discharge detection data of the lithium battery in an energy storage process in real time;
the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
Uploading the operation data to an operation control platform, wherein the operation control platform determines whether the current lithium battery operates normally or not through a preset threshold parameter corresponding to each data type in the operation data, and the method comprises the following steps:
s201, uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to an operation control platform;
s202, the operation control platform respectively compares the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data with corresponding preset threshold parameters, and when any one of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding preset threshold parameters, the operation of the lithium battery is evaluated by utilizing a comprehensive evaluation model to obtain an evaluation score;
s203, comparing the evaluation score with a preset evaluation score threshold, and determining that the current lithium battery is not normally operated when the evaluation score is lower than the preset evaluation score threshold. And, the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 0i Representing a preset threshold parameter corresponding to the ith parameter type; wi means when the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge and discharge detectionWhen any one data parameter value in the measured data exceeds the corresponding preset threshold value parameter, the detection value corresponding to the ith parameter type is detected.
Specifically, according to whether the current lithium battery operation is normal or not, the remote control lithium battery operation and alarm comprise:
s301, when the current lithium battery is determined to be in a normal state, performing text early warning on the operation control platform interface, and adjusting the threshold parameters by using a threshold adjustment model to obtain adjusted threshold parameters;
s302, monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge-discharge detection data in the lithium battery energy storage process exceed adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and giving an audible alarm when any one of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding adjusted threshold parameters; wherein the threshold adjustment model is as follows:
wherein W is 11 、W 12 、W 13 And W is 14 Respectively represents the adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge-discharge detection data, and when W 11 、W 12 、W 13 And W is 14 As the adjusted threshold parameter, if it exceeds the dangerous limit value S corresponding to the data type, making it equal to 0.94S; w (W) 01 、W 02 、W 03 And W is 04 Respectively representing preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) p1 、W p2 、W p3 And W is p4 Average parameter data corresponding to electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) max1 、W max2 、W max3 And W is max4 The maximum parameter data of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) min2 And W is min3 Respectively representing the minimum values corresponding to the temperature detection data and the environmental humidity detection data in the lithium battery energy storage process; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
and S303, when the current lithium battery is determined to be in an abnormal state, remotely controlling the lithium battery to stop running and giving an alarm.
The working principle and the effect of the technical scheme are as follows: according to the alarm monitoring system and the alarm monitoring method for lithium battery energy storage, which are provided by the embodiment, the evaluation score and the threshold parameter adjustment obtained by comprehensively evaluating all data information detected in the actual operation process of the lithium battery energy storage system can be used for effectively early warning before dangerous accidents occur in the lithium battery energy storage system; the pre-warning performance can be guaranteed through the setting of the threshold value parameters, dangerous accidents are effectively prevented, and the problem that no warning is caused due to too advanced setting can be effectively avoided. On the other hand, the re-threshold calibration is carried out through adjustment of threshold parameters, so that the early warning accuracy and timeliness of the lithium battery energy storage system can be effectively improved, and the operation safety of the lithium battery energy storage system is further effectively improved.
The embodiment of the invention provides an alarm monitoring system for lithium battery energy storage, as shown in fig. 2, the alarm monitoring system comprises:
the real-time acquisition module is used for acquiring the operation data of the lithium battery energy storage process in real time;
the operation determining module is used for uploading the operation data to an operation control platform, and the operation control platform determines whether the current lithium battery operates normally or not through preset threshold parameters corresponding to each data type in the operation data;
and the alarm module is used for remotely controlling the operation and alarm of the lithium battery according to the normal judgment result of the current operation of the lithium battery.
Wherein, the real-time acquisition module includes:
the first acquisition module is used for acquiring leakage detection data in the lithium battery energy storage process in real time;
the second acquisition module is used for acquiring temperature detection data of the lithium battery energy storage process in real time;
the third acquisition module is used for acquiring environmental humidity detection data in the lithium battery energy storage process in real time;
the fourth acquisition module is used for acquiring charge and discharge detection data in the energy storage process of the lithium battery in real time;
the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
Wherein the operation determination module comprises:
the uploading module is used for uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to the operation control platform;
the comparison and evaluation module is used for respectively comparing the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and evaluating the operation of the lithium battery by utilizing the comprehensive evaluation model when any one of the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameters to obtain an evaluation score;
and the operation judging module is used for comparing the evaluation score with a preset evaluation score threshold value, and determining that the current lithium battery is not normally operated when the evaluation score is lower than the preset evaluation score threshold value. And, the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 0i Representing a preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to an ith parameter type when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge-discharge detection data exceeds a preset threshold parameter corresponding to the data parameter values.
Wherein, the alarm module includes:
the threshold value adjusting module is used for carrying out text early warning on the operation control platform interface when the current lithium battery operation is determined to be in a normal state, and adjusting the threshold value parameters by using a threshold value adjusting model to obtain adjusted threshold value parameters;
the first alarm module is used for monitoring whether the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data in the lithium battery energy storage process exceed the adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and giving an audible alarm when any one of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding adjusted threshold parameters; the threshold value parameter corresponding to each parameter data is lower than the dangerous limit value of each parameter data in the operation process of the lithium battery energy storage system, the range is 0.78S-0.83S, S represents the dangerous limit value of each parameter data, and the threshold value adjustment model is as follows:
wherein W is 11 、W 12 、W 13 And W is 14 Respectively representing adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 01 、W 02 、W 03 And W is 04 Respectively representing preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) p1 、W p2 、W p3 And W is p4 Average parameter data corresponding to electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) max1 、W max2 、W max3 And W is max4 The maximum parameter data of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) min2 And W is min3 Respectively representing the minimum values corresponding to the temperature detection data and the environmental humidity detection data in the lithium battery energy storage process; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
and the second alarm module is used for remotely controlling the lithium battery to stop running and giving an alarm when the current lithium battery is determined to be in an abnormal state.
The operation principle of the technical scheme is as follows: the alarm monitoring system comprises the following steps:
firstly, collecting operation data of an energy storage process of a lithium battery in real time through a real-time collecting module;
then, uploading the operation data to an operation control platform by utilizing an operation determining module, wherein the operation control platform determines whether the current lithium battery operates normally or not through preset threshold parameters corresponding to each data type in the operation data;
and finally, remotely controlling the operation of the lithium battery and alarming by adopting an alarm module according to the normal judgment result of the current operation of the lithium battery.
Wherein, the real-time acquisition module includes:
collecting leakage detection data in the lithium battery energy storage process in real time through a first collecting module;
acquiring temperature detection data of the lithium battery energy storage process in real time through a second acquisition module;
acquiring environmental humidity detection data of the lithium battery in an energy storage process in real time through a third acquisition module;
collecting charging and discharging detection data in the lithium battery energy storage process in real time through a fourth collecting module;
the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
The operation process of the operation determining module comprises the following steps:
firstly, uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to an operation control platform through an uploading module;
then, the operation control platform is controlled by adopting a comparison and evaluation module to respectively compare the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameters, the operation of the lithium battery is evaluated by utilizing a comprehensive evaluation model to obtain an evaluation score;
and then comparing the evaluation score with a preset evaluation score threshold by using an operation judging module, and determining that the current lithium battery is not operating normally when the evaluation score is lower than the preset evaluation score threshold. And, the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 0i Representing a preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to an ith parameter type when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge-discharge detection data exceeds a preset threshold parameter corresponding to the data parameter values.
The operation process of the alarm module comprises the following steps:
firstly, when the current lithium battery operation is determined to be in a normal state, performing text early warning on the operation control platform interface through a threshold adjustment module, and adjusting the threshold parameters by using a threshold adjustment model to obtain adjusted threshold parameters;
then, a first alarm module is adopted to monitor whether the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data in the lithium battery energy storage process exceed the adjusted threshold parameters in real time, and when any one of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameters, the lithium battery is remotely controlled to stop running and carry out sound alarm; the threshold value parameter corresponding to each parameter data is lower than the dangerous limit value of each parameter data in the operation process of the lithium battery energy storage system, the range is 0.78S-0.83S, S represents the dangerous limit value of each parameter data, and the threshold value adjustment model is as follows:
wherein W is 11 、W 12 、W 13 And W is 14 Respectively representing adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) 01 、W 02 、W 03 And W is 04 Respectively representing preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w (W) p1 、W p2 、W p3 And W is p4 Average parameter data corresponding to electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) max1 、W max2 、W max3 And W is max4 The maximum parameter data of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data in the lithium battery energy storage process are respectively represented; w (W) min2 And W is min3 Respectively representing the minimum values corresponding to the temperature detection data and the environmental humidity detection data in the lithium battery energy storage process; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
and finally, remotely controlling the lithium battery to stop running and giving an alarm when the second alarm module determines that the current lithium battery is in an abnormal state.
The technical scheme has the effects that: according to the alarm monitoring system for lithium battery energy storage, which is provided by the embodiment, the evaluation score and the threshold parameter adjustment obtained by comprehensively evaluating all data information detected in the actual operation process of the lithium battery energy storage system can be used for effectively early warning before dangerous accidents occur in the lithium battery energy storage system; the pre-warning performance can be guaranteed through the setting of the threshold value parameters, dangerous accidents are effectively prevented, and the problem that no warning is caused due to too advanced setting can be effectively avoided. On the other hand, the re-threshold calibration is carried out through adjustment of threshold parameters, so that the early warning accuracy and timeliness of the lithium battery energy storage system can be effectively improved, and the operation safety of the lithium battery energy storage system is further effectively improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (4)

1. An alarm monitoring method for lithium battery energy storage, which is characterized by comprising the following steps:
collecting operation data of an energy storage process of the lithium battery in real time;
uploading the operation data to an operation control platform, and determining whether the current lithium battery operates normally or not by the operation control platform through preset threshold parameters corresponding to each data type in the operation data;
remotely controlling the operation of the lithium battery and alarming according to the normal judgment result of the current operation of the lithium battery; uploading the operation data to an operation control platform, wherein the operation control platform determines whether the current lithium battery operates normally or not through a preset threshold parameter corresponding to each data type in the operation data, and the method comprises the following steps:
uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to an operation control platform;
the operation control platform respectively compares the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge-discharge detection data with corresponding preset threshold parameters, and when any one of the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge-discharge detection data exceeds the corresponding preset threshold parameters, the operation of the lithium battery is evaluated by utilizing the comprehensive evaluation model to obtain an evaluation score;
comparing the evaluation score with a preset evaluation score threshold, and determining that the current lithium battery is not normally operated when the evaluation score is lower than the preset evaluation score threshold;
the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w0i represents a preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to an ith parameter type when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a preset threshold parameter corresponding to the data parameter values;
the method for remotely controlling the operation and the alarm of the lithium battery according to the normal judgment result of the current operation of the lithium battery comprises the following steps:
when the current lithium battery operation is determined to be in a normal state, performing text early warning on the operation control platform interface, and adjusting the threshold parameter by using a threshold adjustment model to obtain an adjusted threshold parameter;
monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge-discharge detection data in the lithium battery energy storage process exceed adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and giving an audible alarm when any one of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding adjusted threshold parameters; wherein the threshold adjustment model is as follows:
wherein W11, W12, W13 and W14 respectively represent adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge-discharge detection data; w01, W02, W03 and W04 respectively represent preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; wp1, wp2, wp3 and Wp4 respectively represent average parameter data corresponding to the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data in the energy storage process of the lithium battery; wmax1, wmax2, wmax3 and Wmax4 respectively represent maximum parameter data of electric leakage detection data, temperature detection data, ambient humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; wmin2 and Wmin3 respectively represent minimum values corresponding to temperature detection data and environmental humidity detection data in the energy storage process of the lithium battery; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
when the current lithium battery is determined to be in an abnormal state, the lithium battery is remotely controlled to stop running and alarm.
2. The alarm monitoring method of claim 1, wherein collecting operational data of the lithium battery energy storage process in real time comprises:
collecting leakage detection data in the lithium battery energy storage process in real time;
collecting temperature detection data of the lithium battery energy storage process in real time;
collecting environmental humidity detection data in the lithium battery energy storage process in real time;
collecting charge and discharge detection data in the lithium battery energy storage process in real time;
the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
3. An alarm monitoring system for lithium battery energy storage, the alarm monitoring system comprising:
the real-time acquisition module is used for acquiring the operation data of the lithium battery energy storage process in real time;
the operation determining module is used for uploading the operation data to an operation control platform, and the operation control platform determines whether the current lithium battery operates normally or not through preset threshold parameters corresponding to each data type in the operation data;
the alarm module is used for remotely controlling the operation and alarm of the lithium battery according to the normal judgment result of the current operation of the lithium battery;
wherein the operation determination module comprises:
the uploading module is used for uploading electric leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the lithium battery energy storage process to the operation control platform;
the comparison and evaluation module is used for respectively comparing the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and evaluating the operation of the lithium battery by utilizing the comprehensive evaluation model when any one of the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameters to obtain an evaluation score;
the operation judging module is used for comparing the evaluation score with a preset evaluation score threshold value, and determining that the current lithium battery is not normally operated when the evaluation score is lower than the preset evaluation score threshold value;
wherein, the comprehensive evaluation model is as follows:
wherein M represents the evaluation score; n represents the number of parameter types including the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w0i represents a preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to an ith parameter type when any one of the data parameter values of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a preset threshold parameter corresponding to the data parameter values;
wherein, the alarm module includes:
the threshold value adjusting module is used for carrying out text early warning on the operation control platform interface when the current lithium battery operation is determined to be in a normal state, and adjusting the threshold value parameters by using a threshold value adjusting model to obtain adjusted threshold value parameters;
the first alarm module is used for monitoring whether the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data in the lithium battery energy storage process exceed the adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and giving an audible alarm when any one of the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data exceeds the corresponding adjusted threshold parameters; wherein the threshold adjustment model is as follows:
wherein W11, W12, W13 and W14 respectively represent adjusted threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the ambient humidity detection data and the charge-discharge detection data; w01, W02, W03 and W04 respectively represent preset threshold parameters corresponding to the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; wp1, wp2, wp3 and Wp4 respectively represent average parameter data corresponding to the electric leakage detection data, the temperature detection data, the environmental humidity detection data and the charge and discharge detection data in the energy storage process of the lithium battery; wmax1, wmax2, wmax3 and Wmax4 respectively represent maximum parameter data of electric leakage detection data, temperature detection data, ambient humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; wmin2 and Wmin3 respectively represent minimum values corresponding to temperature detection data and environmental humidity detection data in the energy storage process of the lithium battery; k represents an adjustment coefficient, and the value range of k is 1.3-1.47;
and the second alarm module is used for remotely controlling the lithium battery to stop running and giving an alarm when the current lithium battery is determined to be in an abnormal state.
4. The alarm monitoring system of claim 3, wherein the real-time acquisition module comprises:
the first acquisition module is used for acquiring leakage detection data in the lithium battery energy storage process in real time;
the second acquisition module is used for acquiring temperature detection data of the lithium battery energy storage process in real time;
the third acquisition module is used for acquiring environmental humidity detection data in the lithium battery energy storage process in real time;
the fourth acquisition module is used for acquiring charge and discharge detection data in the energy storage process of the lithium battery in real time;
the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data are operation data of the lithium battery energy storage process.
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