CN115792629A - 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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CN115792629A
CN115792629A CN202211457014.7A CN202211457014A CN115792629A CN 115792629 A CN115792629 A CN 115792629A CN 202211457014 A CN202211457014 A CN 202211457014A CN 115792629 A CN115792629 A CN 115792629A
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lithium battery
data
energy storage
charge
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CN115792629B (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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Huizhou Hengli Energy Technology Co ltd
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Abstract

The invention provides an alarm monitoring system and method for lithium battery energy storage. The alarm monitoring method comprises the following steps: collecting operation data of the lithium battery in an energy storage process 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 according to preset threshold parameters corresponding to various data types in the operation data; and remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is in normal operation. 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 lithium battery energy storage, and belongs to the technical field of lithium batteries.
Background
The lithium ion battery is a chargeable and dischargeable battery with limited charging and discharging times, and a special alarm system or a module is required to be arranged to monitor the operation of the lithium ion battery in the charging and discharging process of the conventional lithium ion battery, however, the conventional 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 frequency of a lithium battery energy storage alarm monitoring system in the prior art, and adopt the following technical scheme:
an alarm monitoring method for lithium battery energy storage comprises the following steps:
collecting operation data of the lithium battery in an energy storage process 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 according to preset threshold parameters corresponding to various data types in the operation data;
and remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is in normal operation.
Further, gather the operating data of lithium cell energy storage process in real time, include:
collecting leakage detection data of the lithium battery in an energy storage process in real time;
acquiring temperature detection data of the lithium battery in the energy storage process in real time;
acquiring environmental humidity detection data of the lithium battery in the energy storage process in real time;
acquiring charge and discharge detection data of the lithium battery in the 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, and determining, by the operation control platform, whether the current lithium battery operates normally according to preset threshold parameters corresponding to each data type in the operation data, including:
uploading leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process to an operation control platform;
the operation control platform respectively compares the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, the operation of the lithium battery is evaluated by using a comprehensive evaluation model to obtain an evaluation score;
and comparing the evaluation score with a preset evaluation score threshold, and determining that the current lithium battery is abnormal in operation when the evaluation score is lower than the preset evaluation score threshold.
Further, the comprehensive evaluation model is as follows:
Figure BDA0003953615110000021
wherein M represents the evaluation score; n represents the number of parameter types including the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 0i A preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to the ith parameter type when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a corresponding preset threshold parameter.
Further, according to whether normal judgement result remote control lithium cell operation and warning of present lithium cell operation includes:
when the current lithium battery is determined to be in a normal state in operation, performing text early warning on an 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 and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and give an audible alarm when any one data parameter value of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter; wherein the threshold adjustment model is as follows:
Figure BDA0003953615110000022
Figure BDA0003953615110000023
Figure BDA0003953615110000024
Figure BDA0003953615110000025
wherein, W 11 、W 12 、W 13 And W 14 Respectively showing the adjusted threshold parameters corresponding to the leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data, and when W is 11 、W 12 、W 13 And W 14 If the adjusted threshold parameter exceeds the danger limit value S corresponding to the data type, the adjusted threshold parameter is made equal to 0.94S; w 01 、W 02 、W 03 And W 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 p1 、W p2 、W p3 And W p4 Respectively indicate leakage in the process of energy storage of the lithium batteryAverage parameter data corresponding to the electrical detection data, the temperature detection data, the environment humidity detection data and the charging and discharging detection data; w max1 、W max2 、W max3 And W max4 Respectively representing electric leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 an alarm is given.
An alarm monitoring system of lithium battery energy storage, the alarm monitoring system includes:
the real-time acquisition module is used for acquiring the operation data of the lithium battery in the 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 according to preset threshold parameters corresponding to various data types in the operation data;
and the alarm module is used for remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is operated normally.
Further, the real-time acquisition module comprises:
the first acquisition module is used for acquiring leakage detection data of the lithium battery in the energy storage process in real time;
the second acquisition module is used for acquiring temperature detection data of the lithium battery in the energy storage process in real time;
the third acquisition module is used for acquiring environmental humidity detection data of the lithium battery in the energy storage process in real time;
the fourth acquisition module is used for acquiring charge and discharge detection data of the lithium battery in the 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, the operation determination module includes:
the uploading module is used for uploading electric leakage detection data, temperature detection data, environment humidity detection data and charging and discharging detection data of the lithium battery in the energy storage process to the operation control platform;
the comparison and price-balancing module is used for comparing the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters by the operation control platform respectively, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, the operation of the lithium battery is evaluated by using a comprehensive evaluation model 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 when the evaluation score is lower than the preset evaluation score threshold value, determining that the current lithium battery is abnormal in operation.
Further, the comprehensive evaluation model is as follows:
Figure BDA0003953615110000031
wherein M represents the evaluation score; n represents the number of parameter types including the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 0i A preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to the ith parameter type when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a corresponding preset threshold parameter.
Further, the alarm module includes:
the threshold adjusting module is used for performing text early warning on the operation control platform interface when the current lithium battery is determined to be in a normal state in operation, and adjusting the threshold parameters by using the threshold adjusting model to obtain adjusted threshold parameters;
the first alarm module is used for monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters or not in real time, and remotely controlling the lithium battery to stop running and carry out sound alarm when any data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter; the threshold parameter corresponding to each parameter data is lower than the danger 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 danger limit value of each parameter data, and the threshold adjustment model is as follows:
Figure BDA0003953615110000041
Figure BDA0003953615110000042
Figure BDA0003953615110000043
Figure BDA0003953615110000044
wherein, W 11 、W 12 、W 13 And W 14 Respectively representing adjusted threshold parameters corresponding to the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w is a group of 01 、W 02 、W 03 And W 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 p1 、W p2 、W p3 And W p4 Respectively representing average parameter data corresponding to leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; w is a group of max1 、W max2 、W max3 And W max4 Respectively representing electric leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 give 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 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 do not completely occur in the lithium battery energy storage system; the prepositive property of early warning can be guaranteed through the setting of the threshold parameters, the occurrence of dangerous accidents is effectively prevented, and the problem that no alarm is caused due to the fact that the setting is too advanced can be effectively avoided. On the other hand, threshold value calibration is carried out again through adjustment of the threshold value parameters, early warning accuracy and timeliness of the lithium battery energy storage system can be effectively improved, and operation safety of the lithium battery energy storage system is 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 in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides an alarm monitoring method for lithium battery energy storage, which comprises the following steps of:
s1, collecting operation data of a lithium battery in an energy storage process 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 according to preset threshold parameters corresponding to each data type in the operation data;
and S3, remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is operated normally.
Specifically, gather the operating data of lithium cell energy storage process in real time, include:
s101, collecting leakage detection data of the lithium battery in the energy storage process in real time;
s102, collecting temperature detection data of the lithium battery in the energy storage process in real time;
s103, collecting environmental humidity detection data of the lithium battery in the energy storage process in real time;
s104, collecting charging and discharging detection data of the lithium battery in the energy storage process in real time;
the 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 method includes the steps that the operation data are uploaded to an operation control platform, and the operation control platform determines whether the current lithium battery operates normally according to preset threshold parameters corresponding to various data types in the operation data, and the method includes the following steps:
s201, uploading leakage detection data, temperature detection data, environment humidity detection data and charging and discharging detection data of the lithium battery in the energy storage process to an operation control platform;
s202, the operation control platform respectively compares leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data with corresponding preset threshold parameters, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, the operation of the lithium battery is evaluated by using 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 abnormal in operation when the evaluation score is lower than the preset evaluation score threshold. The comprehensive evaluation model is as follows:
Figure BDA0003953615110000061
wherein M represents the evaluation score; n represents the number of parameter types including the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 0i A preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to the ith parameter type when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a corresponding preset threshold parameter.
Specifically, whether normal judgement result remote control lithium cell operation and warning according to current lithium cell operation includes:
s301, when the current lithium battery is determined to be in a normal state in operation, performing text early warning on an operation control platform interface, and adjusting the threshold parameter by using a threshold adjustment model to obtain an adjusted threshold parameter;
s302, monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and give an audible alarm when any one data parameter value of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter; wherein the threshold adjustment model is as follows:
Figure BDA0003953615110000062
Figure BDA0003953615110000063
Figure BDA0003953615110000064
Figure BDA0003953615110000065
wherein, W 11 、W 12 、W 13 And W 14 Respectively showing the adjusted threshold parameters corresponding to the leakage detection data, the temperature detection data, the environment humidity detection data and the charge-discharge detection data, and when W is 11 、W 12 、W 13 And W 14 If the adjusted threshold parameter exceeds the danger limit value S corresponding to the data type, the adjusted threshold parameter is made equal to 0.94S; w 01 、W 02 、W 03 And W 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 is a group of p1 、W p2 、W p3 And W p4 Respectively representing average parameter data corresponding to leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; w is a group of max1 、W max2 、W max3 And W max4 Respectively representing electric leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w is a group of max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 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 method for lithium battery energy storage 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 effectively perform early warning before dangerous accidents of the lithium battery energy storage system do not completely occur; the prepositive early warning can be ensured through the setting of the threshold parameters, the occurrence of dangerous accidents is effectively prevented, and the problem that no alarm is caused due to the fact that the setting is too advanced can be effectively avoided. On the other hand, threshold value calibration is carried out again through adjustment of the threshold value parameters, early warning accuracy and timeliness of the lithium battery energy storage system can be effectively improved, and operation safety of the lithium battery energy storage system is 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 in the 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 according to preset threshold parameters corresponding to various data types in the operation data;
and the alarm module is used for remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is operated normally.
Wherein, real-time collection module includes:
the first acquisition module is used for acquiring leakage detection data of the lithium battery in the energy storage process in real time;
the second acquisition module is used for acquiring temperature detection data of the lithium battery in the energy storage process in real time;
the third acquisition module is used for acquiring environmental humidity detection data of the lithium battery in the energy storage process in real time;
the fourth acquisition module is used for acquiring charge and discharge detection data of the lithium battery in the 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.
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 charging and discharging detection data of the lithium battery in the energy storage process to the operation control platform;
the comparison and price-balancing module is used for comparing the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters by the operation control platform respectively, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, the operation of the lithium battery is evaluated by using a comprehensive evaluation model 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 when the evaluation score is lower than the preset evaluation score threshold value, determining that the current lithium battery is abnormal in operation. The comprehensive evaluation model is as follows:
Figure BDA0003953615110000081
wherein M represents the evaluation score; n represents the number of the 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 0i A preset threshold parameter corresponding to the ith parameter type; wi represents a detection value corresponding to the ith parameter type when any one data parameter value in the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a corresponding preset threshold parameter.
Wherein, the alarm module includes:
the threshold adjusting module is used for performing text early warning on the operation control platform interface when the current lithium battery is determined to be in a normal state in operation, and adjusting the threshold parameter by using the threshold adjusting model to obtain an adjusted threshold parameter;
the first alarm module is used for monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters or not in real time, and remotely controlling the lithium battery to stop running and give an alarm by sound when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter; the threshold parameter corresponding to each parameter data is lower than the danger 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 danger limit value of each parameter data, and the threshold adjustment model is as follows:
Figure BDA0003953615110000082
Figure BDA0003953615110000083
Figure BDA0003953615110000084
Figure BDA0003953615110000085
wherein, W 11 、W 12 、W 13 And W 14 Respectively representing adjusted threshold parameters corresponding to the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 01 、W 02 、W 03 And W 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 is a group of p1 、W p2 、W p3 And W p4 Respectively representing average parameter data corresponding to leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; w max1 、W max2 、W max3 And W max4 Respectively representing leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 give 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 process of the alarm monitoring system comprises the following steps:
firstly, acquiring running data of a lithium battery energy storage process in real time through a real-time acquisition module;
then, uploading the operation data to an operation control platform by using an operation determining module, wherein the operation control platform determines whether the current lithium battery operates normally according to preset threshold parameters corresponding to various data types in the operation data;
and finally, remotely controlling the operation of the lithium battery and giving an alarm by adopting an alarm module according to the judgment result whether the current lithium battery is operated normally.
Wherein, real-time collection module includes:
the method comprises the steps that electric leakage detection data of the lithium battery in the energy storage process are collected in real time through a first collection module;
acquiring temperature detection data of the lithium battery in the 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;
the charge and discharge detection data of the lithium battery in the energy storage process are collected in real time through a fourth collection 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.
Wherein the operation process of the operation determination module comprises the following steps:
firstly, uploading leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process to an operation control platform through an uploading module;
then, a comparison and price-balancing module is adopted to control the operation control platform to respectively compare the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, a comprehensive evaluation model is used for evaluating the operation of the lithium battery to obtain an evaluation score;
and then, comparing the evaluation score with a preset evaluation score threshold value by using an operation judgment module, and determining that the current lithium battery is abnormally operated when the evaluation score is lower than the preset evaluation score threshold value. The comprehensive evaluation model is as follows:
Figure BDA0003953615110000101
wherein M represents the evaluation score; n represents the number of parameter types including the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 0i A preset threshold parameter corresponding to the ith parameter type; wi represents that when the parameter value of 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 preset valueAnd when the set threshold value parameter is set, the detection value corresponding to the ith parameter type.
Wherein, the operation process of the alarm module comprises the following steps:
firstly, when the current lithium battery is determined to be in a normal state in operation through a threshold adjusting module, performing text early warning on an operation control platform interface, and adjusting the threshold parameter by using a threshold adjusting model to obtain an adjusted threshold parameter;
then, a first alarm module is adopted to monitor whether leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters or not in real time, and when any one data parameter value of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter, the lithium battery is remotely controlled to stop running and sound alarm is carried out; the threshold parameter corresponding to each parameter data is lower than the danger 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 danger limit value of each parameter data, and the threshold adjustment model is as follows:
Figure BDA0003953615110000102
Figure BDA0003953615110000103
Figure BDA0003953615110000104
Figure BDA0003953615110000105
wherein, W 11 、W 12 、W 13 And W 14 Respectively representing leakage detection data and temperature detection dataThe adjusted threshold parameter corresponds to the environment humidity detection data and the charge and discharge detection data; w 01 、W 02 、W 03 And W 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 p1 、W p2 、W p3 And W p4 Respectively representing average parameter data corresponding to leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; w max1 、W max2 、W max3 And W max4 Respectively representing leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 finally, when the current lithium battery is determined to be in an abnormal state through the second alarm module, remotely controlling the lithium battery to stop running and giving an alarm.
The effect of the above technical scheme is as follows: according to the alarm monitoring system for lithium battery energy storage 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 effectively perform early warning before dangerous accidents of the lithium battery energy storage system completely occur; the prepositive property of early warning can be guaranteed through the setting of the threshold parameters, the occurrence of dangerous accidents is effectively prevented, and the problem that no alarm is caused due to the fact that the setting is too advanced can be effectively avoided. On the other hand, threshold value calibration is carried out again through adjustment of the threshold value parameters, early warning accuracy and timeliness of the lithium battery energy storage system can be effectively improved, and operation safety of the lithium battery energy storage system is effectively improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. The alarm monitoring method for lithium battery energy storage is characterized by comprising the following steps:
collecting operation data of the lithium battery in an energy storage process 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 according to preset threshold parameters corresponding to various data types in the operation data;
and remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is in normal operation.
2. The alarm monitoring method according to claim 1, wherein the step of collecting the operation data of the lithium battery in the energy storage process in real time comprises the following steps:
collecting leakage detection data of the lithium battery in the energy storage process in real time;
acquiring temperature detection data of the lithium battery in the energy storage process in real time;
acquiring environmental humidity detection data of the lithium battery in the energy storage process in real time;
acquiring charge and discharge detection data of the lithium battery in the 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. The alarm monitoring method according to claim 1, wherein the operation data is uploaded to an operation control platform, and the operation control platform determines whether the current lithium battery is normally operated according to a preset threshold parameter corresponding to each data type in the operation data, including:
uploading leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process to an operation control platform;
the operation control platform respectively compares the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, the operation of the lithium battery is evaluated by using a comprehensive evaluation model to obtain an evaluation score;
and comparing the evaluation score with a preset evaluation score threshold, and determining that the current lithium battery is abnormal in operation when the evaluation score is lower than the preset evaluation score threshold.
4. The alarm monitoring method according to claim 3, wherein the comprehensive evaluation model is as follows:
Figure FDA0003953615100000011
wherein M represents the evaluation score; n represents the number of parameter types including the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 0i A preset threshold parameter indicating the ith parameter type; wi represents a detection value corresponding to the ith parameter type when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a corresponding preset threshold parameter.
5. The alarm monitoring method according to claim 1, wherein the remote control of the operation and the alarm of the lithium battery according to the judgment result of whether the current lithium battery is operated normally comprises:
when the current lithium battery is determined to be in a normal state in operation, 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 and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters in real time, and remotely controlling the lithium battery to stop running and give an audible alarm when any one data parameter value of the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter; wherein the threshold adjustment model is as follows:
Figure FDA0003953615100000021
Figure FDA0003953615100000022
Figure FDA0003953615100000023
Figure FDA0003953615100000024
wherein, W 11 、W 12 、W 13 And W 14 Respectively representing adjusted threshold parameters corresponding to the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 01 、W 02 、W 03 And W 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 p1 、W p2 、W p3 And W p4 Respectively representing average parameter data corresponding to leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; w max1 、W max2 、W max3 And W max4 Respectively representing leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 an alarm is given.
6. The utility model provides an alarm monitoring system of lithium cell energy storage which characterized in that, alarm monitoring system includes:
the real-time acquisition module is used for acquiring the operation data of the lithium battery in the 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 according to preset threshold parameters corresponding to various data types in the operation data;
and the alarm module is used for remotely controlling the operation of the lithium battery and giving an alarm according to the judgment result whether the current lithium battery is operated normally.
7. The alarm monitoring system of claim 6, wherein the real-time acquisition module comprises:
the first acquisition module is used for acquiring leakage detection data of the lithium battery in the energy storage process in real time;
the second acquisition module is used for acquiring temperature detection data of the lithium battery in the energy storage process in real time;
the third acquisition module is used for acquiring environmental humidity detection data of the lithium battery in the energy storage process in real time;
the fourth acquisition module is used for acquiring charge and discharge detection data of the lithium battery in the 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.
8. The alarm monitoring system of claim 6, 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 charging and discharging detection data of the lithium battery in the energy storage process to the operation control platform;
the comparison and price-balancing module is used for comparing the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data with corresponding preset threshold parameters by the operation control platform respectively, and when any one data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding preset threshold parameter, the operation of the lithium battery is evaluated by using a comprehensive evaluation model to obtain an evaluation score;
and the operation judgment module is used for comparing the evaluation score with a preset evaluation score threshold value, and determining that the current lithium battery is abnormal in operation when the evaluation score is lower than the preset evaluation score threshold value.
9. The alarm monitoring system of claim 8, wherein the comprehensive evaluation model is as follows:
Figure FDA0003953615100000031
wherein M represents the evaluation score; n represents the number of the 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 is a group of 0i A preset threshold parameter indicating the ith parameter type; wi represents a detection value corresponding to the ith parameter type when any one data parameter value in the electric leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds a corresponding preset threshold parameter.
10. The alarm monitoring system of claim 6, wherein the alarm module comprises:
the threshold adjusting module is used for performing text early warning on the operation control platform interface when the current lithium battery is determined to be in a normal state in operation, and adjusting the threshold parameters by using the threshold adjusting model to obtain adjusted threshold parameters;
the first alarm module is used for monitoring whether leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data of the lithium battery in the energy storage process exceed the adjusted threshold parameters or not in real time, and remotely controlling the lithium battery to stop running and carry out sound alarm when any data parameter value in the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data exceeds the corresponding adjusted threshold parameter; wherein the threshold adjustment model is as follows:
Figure FDA0003953615100000041
Figure FDA0003953615100000042
Figure FDA0003953615100000043
Figure FDA0003953615100000044
wherein, W 11 、W 12 、W 13 And W 14 Respectively representing adjusted threshold parameters corresponding to the leakage detection data, the temperature detection data, the environment humidity detection data and the charge and discharge detection data; w 01 、W 02 、W 03 And W 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 is a group of p1 、W p2 、W p3 And W p4 Respectively representing average parameter data corresponding to leakage detection data, temperature detection data, environment humidity detection data and charge and discharge detection data in the energy storage process of the lithium battery; w max1 、W max2 、W max3 And W max4 Respectively representing electric leakage detection data, temperature detection data, environment humidity detection data and maximum parameter data of charge and discharge detection data in the energy storage process of the lithium battery; w max2 And W max3 Respectively representing the minimum values corresponding to the temperature detection data and the environment 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 give an alarm when the current lithium battery is determined to be in an abnormal state.
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