EMS safety management system for high-capacity energy storage battery

Abstract

The invention discloses an EMS safety management system and method for a high-capacity energy storage battery, and relates to the technical field of batteries, the EMS safety management system comprises a data acquisition module, a data processing module, a battery surface detection module, an energy storage prediction module and an energy storage safety early warning module, acquiring voltage, current and temperature working data of the high-capacity energy storage battery through a data acquisition unit; the data processing module is used for carrying out data processing on the voltage, current and temperature working data to obtain processed working data; the battery surface detection module is used for acquiring a high-capacity energy storage battery plane through imaging equipment to obtain a high-capacity energy storage battery plane result; the energy storage prediction module is used for predicting the energy storage condition of the battery according to the processed working data and the plane condition result of the high-capacity energy storage battery; according to the invention, the probability that the high-capacity energy storage battery breaks down in use can be reduced, the energy storage condition is warned in advance, and the use safety of the high-capacity energy storage battery is improved.

Description

Technical Field

[0001] The present invention relates to the field of batteries, and in particular to an EMS safety management system and method for high-capacity energy storage batteries. Background Art

[0002] The prior art (invention patent with publication number CN117154249A) discloses a method and system for the safe management of a cloud system for energy storage batteries, including: building a battery cloud management system, including an energy storage battery BMS protocol module, an energy management EMS module, a communication module and a battery cloud platform, the energy storage battery BMS protocol module collects battery data information and uploads it to the energy management EMS module at the local end of the energy storage, and the communication module uploads the data information to the battery cloud platform to perform internal short circuit warning and external short circuit warning. The present invention uploads the energy storage battery data to the cloud in real time, and the battery cloud platform calculates in real time. Once the calculation result is abnormal, the control command for the energy storage battery is issued at the first time, and the monitoring personnel are notified to intervene in the investigation; and with the help of the relatively regular and stable working conditions of the energy storage battery charging and discharging, compared with the new energy vehicle battery and other scenarios, the supervision calculation is accurate, and the safety of the battery and the equipment during the charging and discharging process is guaranteed. The prior art cannot reduce the probability of failure of high-capacity energy storage batteries during use, cannot provide early warning of energy storage conditions, and cannot improve the safety of high-capacity energy storage batteries. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an EMS safety management system and method for high-capacity energy storage batteries, which can reduce the probability of failure of high-capacity energy storage batteries during use, provide early warning of energy storage conditions, and improve the safety of the use of high-capacity energy storage batteries.

[0004] To achieve the above-mentioned purpose, the first aspect of the present invention provides an EMS safety management system for high-capacity energy storage batteries, including a data acquisition module, a data processing module, a battery surface detection module, an energy storage prediction module and an energy storage safety warning module;

[0005] The data acquisition module collects the voltage, current and temperature working data of the high-capacity energy storage battery through the data acquisition device;

[0006] A data processing module processes the voltage, current and temperature working data to obtain processed working data;

[0007] The battery surface detection module uses imaging equipment to collect the plane of the high-capacity energy storage battery and obtain the results of the high-capacity energy storage battery plane;

[0008] An energy storage prediction module predicts the battery energy storage situation based on the processed working data and the planar situation results of the high-capacity energy storage battery;

[0009] The energy storage safety early warning module issues an early warning for the battery energy storage safety according to the battery energy storage situation and obtains an early warning result.

[0010] Preferably, the data acquisition module is electrically connected to the data collector, and the battery surface detection module is electrically connected to the imaging device;

[0011] The data acquisition module, the data processing module, the battery surface detection module, the energy storage prediction module and the energy storage safety warning module are all in communication and / or electrically connected.

[0012] Preferably, the collecting of voltage, current and temperature operating data of the high-capacity energy storage battery by a data collector includes:

[0013] The data collector is connected to the electrical interface of the high-capacity energy storage battery to obtain voltage working data, which is expressed as:

[0014]

[0015] Among them, X U(t) Expressed as voltage working data, U i (t) represents the voltage value of a single battery at time t, α represents the unit conversion factor, Q represents the heat generated by the battery, and Z represents the register value;

[0016] Get the current and temperature working data, the expression is:

[0017]

[0018] Among them, X I(t) Expressed as current working data, R B Expressed as the sampling resistor value, X T(t) Expressed as temperature working data, R T , R represent the resistance values ​​at temperatures T and T1 respectively, and K represents the thermal sensitivity coefficient of the working data acquisition equipment.

[0019] Preferably, the processing the voltage, current and temperature working data to obtain the processed working data includes:

[0020] The voltage, current, temperature working data X U(t) , X I(t) , X T(t) Set to set X Y(t) ;

[0021] For the set XY(t) Perform data processing to obtain the processed working data, the expression is:

[0022]

[0023] Among them, X g Represents the processed working data, max[X Y(t) ]、min[X Y(t) ] are represented as sets X Y(t) The maximum and minimum values ​​of the voltage, current and temperature working data.

[0024] Preferably, the step of collecting the high-capacity energy storage battery plane through an imaging device to obtain the high-capacity energy storage battery plane situation result includes:

[0025] Capture the plane of the high-capacity energy storage battery through an imaging device to generate a plane image;

[0026] By performing feature extraction and feature matching on the plane image, it is determined whether any pixel point in the plane of the high-capacity energy storage battery is damaged, and the plane situation result of the high-capacity energy storage battery is obtained, and the expression is:

[0027]

[0028] Among them, S represents the planar result of high-capacity energy storage battery, S j It is represented by the area of ​​the plane image occupied by the jth pixel judged to be damaged, H is represented by the imaging coefficient, and N is represented by the total number of pixels judged to be damaged.

[0029] Preferably, the predicting of the battery energy storage condition according to the processed working data and the planar condition result of the high-capacity energy storage battery includes:

[0030] According to the processed working data, the variation characteristics of the high-capacity energy storage battery are extracted and quantified, and the expression is:

[0031]

[0032] Where W represents the quantitative change characteristics of high-capacity energy storage batteries, X g (t2),X g (t1) represents the working data collected at time t2 and t1;

[0033] The battery energy storage situation is predicted based on the planar situation of the high-capacity energy storage battery and the change characteristics of the high-capacity energy storage battery. The expression is:

[0034] x(t w )=SWV(t w -t)

[0035] Among them, x(t w ) represents the prediction result of battery energy storage, V represents the battery energy storage influence coefficient, t w , t are respectively represented by t w time, time t.

[0036] Preferably, the step of providing an early warning for battery energy storage safety according to the battery energy storage situation to obtain an early warning result includes:

[0037] Setting battery energy storage safety warning thresholds, namely, a first safety warning threshold, a second safety warning threshold, and a third safety warning threshold, and setting the warning level to three levels according to the battery energy storage safety warning thresholds;

[0038] Obtaining the energy storage status of each battery, and comparing the energy storage status of each battery with the battery energy storage safety warning threshold;

[0039] When the total energy storage of each battery is greater than the first safety warning threshold, the whole management system pushes a first-level warning result;

[0040] When the total energy storage of each battery is greater than the second safety warning threshold, the full management system pushes a second-level warning result;

[0041] When the total energy storage conditions of each battery are greater than the third safety warning threshold, the whole management system pushes the third level warning result.

[0042] An EMS safety management method for high-capacity energy storage batteries, comprising:

[0043] Collect voltage, current and temperature working data of high-capacity energy storage batteries through data logger;

[0044] Processing the voltage, current and temperature working data to obtain processed working data;

[0045] Capture the plane of the high-capacity energy storage battery through imaging equipment to obtain the plane result of the high-capacity energy storage battery;

[0046] Predicting the battery energy storage situation based on the processed working data and the planar situation results of the high-capacity energy storage battery;

[0047] An early warning is given to the battery energy storage safety according to the battery energy storage situation to obtain an early warning result.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention can reduce the probability of failure of a high-capacity energy storage battery during use, provides an early warning of the energy storage situation, and improves the safety of the use of the high-capacity energy storage battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0052] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0053] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] See also Figure 1 , the first aspect of the present application provides an EMS safety management system for high-capacity energy storage batteries, including a data acquisition module, a data processing module, a battery surface detection module, an energy storage prediction module and an energy storage safety warning module;

[0055] The data acquisition module collects the voltage, current and temperature working data of the high-capacity energy storage battery through the data acquisition device;

[0056] A data processing module processes the voltage, current and temperature working data to obtain processed working data;

[0057] The battery surface detection module uses imaging equipment to collect the plane of the high-capacity energy storage battery and obtain the results of the high-capacity energy storage battery plane;

[0058] An energy storage prediction module predicts the battery energy storage situation based on the processed working data and the planar situation results of the high-capacity energy storage battery;

[0059] The energy storage safety early warning module issues an early warning for the battery energy storage safety according to the battery energy storage situation and obtains an early warning result.

[0060] Further, the data acquisition module is electrically connected to the data collector, and the battery surface detection module is electrically connected to the imaging device;

[0061] The data acquisition module, the data processing module, the battery surface detection module, the energy storage prediction module and the energy storage safety warning module are all in communication and / or electrically connected.

[0062] Furthermore, the collecting of voltage, current and temperature operating data of the high-capacity energy storage battery by a data collector includes:

[0063] The data collector is connected to the electrical interface of the high-capacity energy storage battery to obtain voltage working data, which is expressed as:

[0064]

[0065] Among them, X U(t) Expressed as voltage working data, U i (t) represents the voltage value of a single battery at time t, α represents the unit conversion factor, Q represents the heat generated by the battery, and Z represents the register value;

[0066] Get the current and temperature working data, the expression is:

[0067]

[0068] Among them, X I(t) Expressed as current working data, R B Expressed as the sampling resistor value, X T(t) Expressed as temperature working data, R T , R represent the resistance values ​​at temperatures T and T1 respectively, and K represents the thermal sensitivity coefficient of the working data acquisition equipment.

[0069] It should be explained that in the embodiment of the present invention, the data acquisition card in the data collector uses the USB5622 model, which is compatible with USB2.0, has 16 analog and digital input and output functions, and supports plug-and-play. The AD analog input sampling frequency of USB5622 is up to 500kSps, the input impedance is up to 10MΩ, and the conversion rate of each channel of the DA analog output is 100ksps, and the conversion accuracy is up to 12 bits. In addition, it supports 10 / 100M adaptive network type and adopts TCP network protocol.

[0070] Furthermore, the processing of the voltage, current and temperature working data to obtain the processed working data includes:

[0071] The voltage, current, temperature working data X U(t) , X I(t) , X T(t) Set to set X Y(t) ;

[0072] For the set XY(t) Perform data processing to obtain the processed working data, the expression is:

[0073]

[0074] Among them, X g Represents the processed working data, max[X Y(t) ]、min[X Y(t) ] are represented as sets X Y(t) The maximum and minimum values ​​of the voltage, current and temperature working data.

[0075] Furthermore, the collecting of the high-capacity energy storage battery plane by an imaging device to obtain the high-capacity energy storage battery plane situation result includes:

[0076] Capture the plane of the high-capacity energy storage battery through an imaging device to generate a plane image;

[0077] By performing feature extraction and feature matching on the plane image, it is determined whether any pixel point in the plane of the high-capacity energy storage battery is damaged, and the plane situation result of the high-capacity energy storage battery is obtained, and the expression is:

[0078]

[0079] Among them, S represents the planar result of high-capacity energy storage battery, S j It is represented by the area of ​​the plane image occupied by the jth pixel judged to be damaged, H is represented by the imaging coefficient, and N is represented by the total number of pixels judged to be damaged.

[0080] Further, the predicting of the battery energy storage condition according to the processed working data and the plane condition result of the high-capacity energy storage battery includes:

[0081] According to the processed working data, the variation characteristics of the high-capacity energy storage battery are extracted and quantified, and the expression is:

[0082]

[0083] Where W represents the quantitative change characteristics of high-capacity energy storage batteries, X g (t2),X g (t1) represents the working data collected at time t2 and t1;

[0084] The battery energy storage situation is predicted based on the planar situation of the high-capacity energy storage battery and the change characteristics of the high-capacity energy storage battery. The expression is:

[0085] x(t w )=SWV(t w -t)

[0086] Among them, x(t w ) represents the prediction result of battery energy storage, V represents the battery energy storage influence coefficient, t w , t are respectively represented by t w time, time t.

[0087] Furthermore, the step of providing an early warning for battery energy storage safety according to the battery energy storage situation to obtain an early warning result includes:

[0088] Setting battery energy storage safety warning thresholds, namely, a first safety warning threshold, a second safety warning threshold, and a third safety warning threshold, and setting the warning level to three levels according to the battery energy storage safety warning thresholds;

[0089] Obtaining the energy storage status of each battery, and comparing the energy storage status of each battery with the battery energy storage safety warning threshold;

[0090] When the total energy storage of each battery is greater than the first safety warning threshold, the whole management system pushes a first-level warning result;

[0091] When the total energy storage of each battery is greater than the second safety warning threshold, the full management system pushes a second-level warning result;

[0092] When the total energy storage conditions of each battery are greater than the third safety warning threshold, the whole management system pushes the third level warning result.

[0093] It should be explained that in the embodiment of the present invention, warnings are issued in three ways: indicator light, notification information and buzzer, and the warning program of the safety management system is executed. If the safety management system of the current energy storage battery is detected to meet the first safety warning threshold, the three warning methods are started at the same time, the indicator light displays a red light with a flashing frequency of 60 times / s, the warning information is sent to the management personnel, and the buzzer sends a signal strength of 50Hz. If the safety management system of the current energy storage battery is detected to meet the second safety warning threshold, the indicator light displays a red light with a flashing frequency of 40 times / s, and the buzzer signal strength is 40Hz, and the notification information is sent to the management personnel. If the safety management system of the current energy storage battery is detected to meet the third safety warning threshold, the indicator light displays a yellow light with a flashing frequency of 20 times / s, and there is no need to send the notification information to the management personnel.

[0094] See also Figure 2 The first embodiment of the present application provides an EMS safety management method for a high-capacity energy storage battery, including:

[0095] Collect voltage, current and temperature working data of high-capacity energy storage batteries through data logger;

[0096] Processing the voltage, current and temperature working data to obtain processed working data;

[0097] Capture the plane of the high-capacity energy storage battery through imaging equipment to obtain the plane result of the high-capacity energy storage battery;

[0098] Predicting the battery energy storage situation based on the processed working data and the planar situation results of the high-capacity energy storage battery;

[0099] An early warning is given to the battery energy storage safety according to the battery energy storage situation to obtain an early warning result.

[0100] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An EMS safety management system for high-capacity energy storage batteries, including a data acquisition module, a data processing module, a battery surface detection module, an energy storage prediction module and an energy storage safety warning module, characterized in that: The data acquisition module collects the voltage, current and temperature working data of the high-capacity energy storage battery through the data acquisition device; A data processing module processes the voltage, current and temperature working data to obtain processed working data; The battery surface detection module uses imaging equipment to collect the plane of the high-capacity energy storage battery and obtain the results of the high-capacity energy storage battery plane; An energy storage prediction module predicts the battery energy storage situation based on the processed working data and the planar situation results of the high-capacity energy storage battery; The energy storage safety early warning module issues an early warning for the battery energy storage safety according to the battery energy storage situation and obtains an early warning result.

2. An EMS safety management system for high-capacity energy storage batteries according to claim 1, characterized in that: The data acquisition module is electrically connected to the data collector, and the battery surface detection module is electrically connected to the imaging device. The data acquisition module, the data processing module, the battery surface detection module, the energy storage prediction module and the energy storage safety warning module are all in communication and / or electrically connected.

3. The EMS safety management system for high-capacity energy storage batteries according to claim 1, characterized in that: The data acquisition device collects the voltage, current and temperature working data of the high-capacity energy storage battery, including: The data collector is connected to the electrical interface of the high-capacity energy storage battery to obtain voltage working data, which is expressed as: Among them, X U(t) Expressed as voltage working data, U i (t) represents the voltage value of a single battery at time t, α represents the unit conversion factor, Q represents the heat generated by the battery, and Z represents the register value; Get the current and temperature working data, the expression is: Among them, X I(t) Expressed as current working data, R B Expressed as the sampling resistor value, X T(t) Expressed as temperature working data, R T , R represent the resistance values ​​at temperatures T and T1 respectively, and K represents the thermal sensitivity coefficient of the working data acquisition equipment.

4. The EMS safety management system for high-capacity energy storage batteries according to claim 1, characterized in that: The step of processing the voltage, current and temperature working data to obtain processed working data includes: The voltage, current, temperature working data X U(t) , X I(t) , X T(t) Set to set X Y(t) ; For the set X Y(t) Perform data processing to obtain the processed working data, the expression is: Among them, X g Represents the processed working data, max[X Y(t) ]、min[X Y(t) ] are represented as sets X Y(t) The maximum and minimum values ​​of the voltage, current and temperature working data.

5. The EMS safety management system for high-capacity energy storage batteries according to claim 1, characterized in that: The method of collecting the high-capacity energy storage battery plane through an imaging device to obtain the high-capacity energy storage battery plane situation result includes: Capture the plane of the high-capacity energy storage battery through an imaging device to generate a plane image; By performing feature extraction and feature matching on the plane image, it is determined whether any pixel point in the plane of the high-capacity energy storage battery is damaged, and the plane situation result of the high-capacity energy storage battery is obtained. The expression is: Among them, S represents the planar result of high-capacity energy storage battery, S j It is represented by the area of ​​the plane image occupied by the jth pixel judged to be damaged, H is represented by the imaging coefficient, and N is represented by the total number of pixels judged to be damaged.

6. The EMS safety management system for high-capacity energy storage batteries according to claim 1, characterized in that: The predicting of the battery energy storage condition according to the processed working data and the plane condition result of the high-capacity energy storage battery includes: According to the processed working data, the variation characteristics of the high-capacity energy storage battery are extracted and quantified, and the expression is: Where W represents the quantitative change characteristics of high-capacity energy storage batteries, X g (t2),X g (t1) represents the working data collected at time t2 and t1; The battery energy storage situation is predicted based on the planar situation of the high-capacity energy storage battery and the change characteristics of the high-capacity energy storage battery. The expression is: x(t w )=SWV(t w -t) Among them, x(t w ) represents the prediction result of battery energy storage, V represents the battery energy storage influence coefficient, t w , t are respectively represented by t w time, time t.

7. The EMS safety management system for high-capacity energy storage batteries according to claim 1, characterized in that: The step of providing an early warning for battery energy storage safety according to the battery energy storage situation and obtaining an early warning result includes: Setting battery energy storage safety warning thresholds, namely, a first safety warning threshold, a second safety warning threshold, and a third safety warning threshold, and setting the warning level to three levels according to the battery energy storage safety warning thresholds; Obtaining the energy storage status of each battery, and comparing the energy storage status of each battery with the battery energy storage safety warning threshold; When the total energy storage of each battery is greater than the first safety warning threshold, the whole management system pushes a first-level warning result; When the total energy storage of each battery is greater than the second safety warning threshold, the full management system pushes a second-level warning result; When the total energy storage conditions of each battery are greater than the third safety warning threshold, the whole management system pushes the third level warning result.

8. An EMS safety management method for high-capacity energy storage batteries, characterized in that: include: Collect voltage, current and temperature working data of high-capacity energy storage batteries through data logger; Processing the voltage, current and temperature working data to obtain processed working data; Capture the plane of the high-capacity energy storage battery through imaging equipment to obtain the plane result of the high-capacity energy storage battery; Predicting the battery energy storage situation based on the processed working data and the planar situation results of the high-capacity energy storage battery; An early warning is given to the battery energy storage safety according to the battery energy storage situation to obtain an early warning result.

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