CN115236525A - Echelon battery screening method, device and medium - Google Patents
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Abstract
The application discloses a echelon battery screening method, a device and a medium, and relates to the technical field of new energy. After determining the echelon battery, tracing the echelon battery to obtain the vehicle type applied before the echelon battery, performing primary charging and primary discharging on the echelon battery, performing big data anomaly detection analysis according to the charging process data of the same vehicle type to obtain charging safety evaluation information of the battery, performing big data anomaly detection analysis according to the discharging process data of the same vehicle type to obtain discharging safety evaluation information of the battery, and comprehensively evaluating the comprehensive charging safety evaluation information and the discharging safety evaluation information to determine whether the application of echelon energy storage is met. Therefore, the evaluation of the echelon battery pack can be completed by performing one-time charging and discharging on the echelon battery pack, the accuracy of the evaluation of the echelon battery is guaranteed, and the screening efficiency of the whole echelon battery pack is improved.
Description
Technical Field
The application relates to the technical field of new energy, in particular to a method, a device and a medium for screening echelon batteries.
Background
The battery shows attenuation after being used (such as being applied to an electric vehicle as a power battery) for a period of time, the attenuated battery is not enough to meet the application requirements of current equipment (such as an electric vehicle), but the battery also has a certain residual capacity and can still meet the requirements of electric equipment (such as charging the electric vehicle for a charging device), namely the degraded utilization of the battery in a gradient way. Factors to be considered in the screening core of the echelon batteries are mainly safety and economic value, safety indexes of the core of the batteries are mainly considered in safety, and the echelon batteries are required to be strictly screened in advance, screened out and used in echelon with better safety and performance.
Echelon battery utilization includes that the equipment is recycled and the whole package is recycled after dismantling, for the equipment is recycled after dismantling, echelon battery's whole package utilization efficiency is higher. The existing screening and evaluation of the echelon batteries mainly passes a large number of charge and discharge tests, so that the efficiency is low, and a method for efficiently screening the echelon batteries by using the whole pack is lacked.
Therefore, how to improve the screening efficiency of the whole package utilization of the echelon batteries is a technical problem which needs to be solved urgently by the people in the field.
Disclosure of Invention
The application aims to provide a method, a device and a medium for screening echelon batteries, which are used for improving the screening efficiency of the whole package utilization of the echelon batteries.
In order to solve the technical problem, the application provides a method for screening echelon batteries, which comprises the following steps:
selecting a target echelon battery;
determining target new energy equipment where the target echelon battery is located before echelon utilization and obtaining the type of the target new energy equipment;
selecting a plurality of new energy devices under the type as analysis objects;
establishing a charging safety model and a discharging safety model according to the analysis object, acquiring a first charging safety threshold and a second charging safety threshold through the charging safety model, and acquiring a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; wherein constructing the charging safety model comprises: acquiring primary reference charging process data matched with the analysis object within a preset time range, wherein the primary reference charging process data is data generated by the analysis object in a charging process; calculating secondary reference charging process data which are corresponding to all variables and used for representing the variable variation trend according to the primary reference charging process data; determining a first charging safety threshold corresponding to the primary reference charging process data and a second charging safety threshold corresponding to the secondary reference charging process data by using an anomaly detection method based on the corresponding relation between the primary reference charging process data and the secondary reference charging process data and time; the construction of the discharge safety model comprises the following steps: acquiring primary reference discharge process data matched with the analysis object within the preset time range, wherein the primary reference discharge process data is data generated by the analysis object in a discharge process; calculating secondary reference discharge process data which are corresponding to all the variables and used for representing the variable trend according to the primary reference discharge process data; determining a first discharge safety threshold corresponding to the primary reference discharge process data and a second discharge safety threshold corresponding to the secondary reference discharge process data by using the abnormality detection method based on the corresponding relation between the primary reference discharge process data and the secondary reference discharge process data and time;
acquiring primary charging test data and secondary charging test data of the target echelon battery; the primary charging test data are data directly obtained by charging test of the target echelon battery, and the secondary charging test data are data which are used for representing the variable variation trend and correspond to each variable and are calculated according to the primary charging test data;
comparing the primary charging test data with the first charging safety threshold and the secondary charging test data with the second charging safety threshold to determine that the target echelon battery is abnormally charged and create a charging abnormal information set;
acquiring primary discharge test data and secondary discharge test data of the target echelon battery; the primary discharge test data are data directly obtained by the discharge test of the target echelon battery, and the secondary discharge test data are data which are used for representing the variable variation trend and correspond to each variable and are calculated according to the primary discharge test data;
comparing the primary discharge test data with the first discharge safety threshold and the secondary discharge test data with the second discharge safety threshold to determine that the target echelon battery is abnormally discharged and create a discharge abnormality information set;
and comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set, and acquiring the health degree of the target echelon battery to be used as a basis for judging whether the target echelon battery is used for energy storage.
Preferably, the acquiring of the primary reference charging process data, which is matched with the analysis object, of the analysis object within a preset time range includes:
acquiring a plurality of target charging orders of the analysis object, which are matched with the analysis object, within the preset time range;
extracting the primary reference charging process data from each of the target charging orders.
Preferably, the acquiring primary reference discharge process data of the analysis object matched with the analysis object in the preset time range includes:
acquiring a plurality of target discharge orders of the analysis object, which are matched with the analysis object, within the preset time range;
and extracting the primary reference discharge process data from each target discharge order.
Preferably, the comparing the primary charging test data with the first charging safety threshold and the comparing the secondary charging test data with the second charging safety threshold to determine the target echelon battery charging abnormality comprises:
and determining that the target echelon battery is abnormally charged under the condition that the primary charging test data is greater than the first charging safety threshold and/or the secondary charging test data is greater than the second charging safety threshold.
Preferably, the comparing the primary discharge test data with the first discharge safety threshold and the comparing the secondary discharge test data with the second discharge safety threshold to determine the target echelon battery discharge abnormality includes:
and determining that the target echelon battery is abnormal in discharge under the condition that the primary discharge test data is larger than the first discharge safety threshold and/or the secondary discharge test data is larger than the second discharge safety threshold.
Preferably, after the comprehensively evaluating the target battery in steps according to the charging abnormality information set and the discharging abnormality information set and obtaining the health degree of the target battery in steps, the method further includes:
determining a first health condition corresponding to the primary charging test data of the target echelon battery and the first charging safety threshold according to a corresponding relation between a first preset deviation degree and the health condition;
determining a second health condition corresponding to the target echelon battery secondary charging test data and the second charging safety threshold according to a corresponding relation between a second preset deviation degree and the health condition;
determining a charging health of the target echelon battery as a function of the first health and the second health.
Preferably, after the comprehensively evaluating the target battery in steps according to the charging abnormality information set and the discharging abnormality information set and obtaining the health degree of the target battery in steps, the method further includes:
determining a third health condition corresponding to the primary discharge test data of the target echelon battery and the first discharge safety threshold according to a corresponding relation between a third preset deviation degree and the health condition;
determining a fourth health condition corresponding to the target echelon battery secondary discharge test data and the second discharge safety threshold according to a corresponding relation between a fourth preset deviation degree and the health condition;
determining a discharge health condition of the target echelon battery according to the third health condition and the fourth health condition;
determining the health of the target echelon battery based on the first health, the second health, the third health, and the fourth health.
Preferably, the determining, according to a first preset correspondence between a degree of deviation and a health condition, a first health condition corresponding to the target echelon battery primary charging test data and the first charging safety threshold includes:
acquiring a plurality of historical charging orders of the target new energy equipment within a preset time;
acquiring primary historical charging process data from each historical charging order, wherein the primary historical charging process data are data generated by the analysis object in the charging process;
taking an average value corresponding to each variable in the primary historical charging process data as a first actual average value;
calculating a first reference average value corresponding to each variable of the primary reference charging process data in the preset time;
determining a first variable deviation degree of the first actual average value and the first reference average value corresponding to the same variable;
and determining a first actual health grade corresponding to the first variable deviation degree according to a preset corresponding relation between the first variable deviation degree and the health grade.
Preferably, the determining, according to the corresponding relationship between the second preset deviation degree and the health condition, the second health condition corresponding to the target echelon battery secondary charging test data and the second charging safety threshold includes:
acquiring a plurality of historical charging orders of the target new energy device within a preset time;
acquiring secondary historical charging process data from each historical charging order, wherein the secondary historical charging process data are data which are used for representing the variable change trend and correspond to each variable and are obtained through calculation according to the primary historical charging process data;
taking an average value corresponding to each variable in the secondary historical charging process data as a second actual average value;
calculating a second reference average value corresponding to each variable of the secondary reference charging process data in the preset time;
determining a second variable deviation degree of the second actual average value corresponding to the same variable from the second reference average value;
and determining a second actual health grade corresponding to the second variable deviation degree according to a preset corresponding relation between the second variable deviation degree and the health grade.
Preferably, the determining, according to a corresponding relationship between a third preset deviation degree and the health condition, a third health condition corresponding to the target echelon battery primary discharge test data and the first discharge safety threshold includes:
acquiring a plurality of historical discharge orders of the target new energy equipment within a preset time;
acquiring primary historical discharge process data from each historical discharge order, wherein the primary historical discharge process data are data generated by the analysis object in the discharge process;
taking an average value corresponding to each variable in the primary historical discharge process data as a third actual average value;
calculating a third reference average value corresponding to each variable of the primary reference discharge process data in the preset time;
determining a third variable deviation degree of the first actual average value and the third reference average value corresponding to the same variable;
and determining a third actual health grade corresponding to the third variable deviation degree according to a preset corresponding relation between the third variable deviation degree and the health grade.
Preferably, the determining, according to the corresponding relationship between the fourth preset deviation degree and the health condition, the fourth health condition corresponding to the target echelon battery secondary discharge test data and the second discharge safety threshold includes:
acquiring a plurality of historical discharge orders of the target new energy equipment within a preset time;
acquiring secondary historical discharge process data from each historical charge order, wherein the secondary historical discharge process data are data which are used for representing the variable change trend and correspond to each variable and are obtained by calculation according to the primary historical discharge process data;
taking an average value corresponding to each variable in the secondary historical discharge process data as a fourth actual average value;
calculating a fourth reference average value corresponding to each variable of the secondary reference discharge process data in the preset time;
determining a fourth variable deviation degree of the fourth actual average value and the fourth reference average value corresponding to the same variable;
and determining a fourth actual health grade corresponding to the fourth variable deviation degree according to a preset corresponding relation between the fourth variable deviation degree and the health grade.
In order to solve the technical problem, the present application further provides a echelon battery screening device, including:
the first selection module is used for selecting a target echelon battery;
the determining and obtaining module is used for determining target new energy equipment where the target echelon battery is located before echelon utilization and obtaining the type of the target new energy equipment;
the second selection module is used for selecting the new energy equipment under the type as an analysis object;
the building and obtaining module is used for building a charging safety model and a discharging safety model according to the analysis object, obtaining a first charging safety threshold and a second charging safety threshold through the charging safety model, and obtaining a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; wherein constructing the charging safety model comprises: acquiring primary reference charging process data of the analysis object, which is matched with the analysis object within a preset time range, wherein the primary reference charging process data is data generated by the analysis object in a charging process; calculating secondary reference charging process data which are corresponding to each variable and used for representing variable variation trend according to the primary reference charging process data; determining a first charging safety threshold corresponding to the primary reference charging process data and a second charging safety threshold corresponding to the secondary reference charging process data by using an anomaly detection method based on the corresponding relation between the primary reference charging process data and the secondary reference charging process data and time; the construction of the discharge safety model comprises the following steps: acquiring primary reference discharge process data of the analysis object, which is matched with the analysis object within the preset time range, wherein the primary reference discharge process data is data generated by the analysis object in a discharge process; calculating secondary reference discharge process data which are corresponding to all variables and used for representing variable variation trends according to the primary reference discharge process data; determining a first discharge safety threshold corresponding to the primary reference discharge process data and a second discharge safety threshold corresponding to the secondary reference discharge process data by using the abnormality detection method based on the corresponding relation between the primary reference discharge process data and the secondary reference discharge process data and time;
the first acquisition module is used for acquiring primary charging test data and secondary charging test data of the target echelon battery; the primary charging test data are data directly obtained by charging test of the target echelon battery, and the secondary charging test data are data which are used for representing variable variation trends and correspond to all variables and are calculated according to the primary charging test data;
a first determining module, configured to compare the primary charging test data with the first charging safety threshold and compare the secondary charging test data with the second charging safety threshold to determine that the target echelon battery charging is abnormal and create a charging abnormal information set;
the second acquisition module is used for acquiring primary discharge test data and secondary discharge test data of the target echelon battery; the primary discharge test data are data directly obtained by the discharge test of the target echelon battery, and the secondary discharge test data are data which are used for representing variable variation trends and correspond to all variables and are calculated according to the primary discharge test data;
a second determination module for comparing the primary discharge test data with the first discharge safety threshold and the secondary discharge test data with the second discharge safety threshold to determine the target echelon battery discharge anomaly and create a discharge anomaly information set;
and the evaluation and acquisition module is used for comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set and acquiring the health degree of the target echelon battery so as to be used as a basis for judging whether the target echelon battery is used for energy storage.
In order to solve the above technical problem, the present application further provides a echelon battery screening device, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the echelon battery screening method when executing the computer program.
In order to solve the above technical problem, the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above-mentioned echelon battery screening method.
The application provides a echelon battery screening method, including: selecting a target echelon battery; determining target new energy equipment before the target echelon battery echelon is utilized and acquiring the type of the target new energy equipment; selecting a plurality of new energy devices under the type as analysis objects; establishing a charging safety model and a discharging safety model according to an analysis object, acquiring a first charging safety threshold and a second charging safety threshold through the charging safety model, and acquiring a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; acquiring primary charging test data and secondary charging test data of a target echelon battery; comparing the primary charging test data with a first charging safety threshold value and comparing the secondary charging test data with a second charging safety threshold value to determine that the target echelon battery is abnormally charged and create a charging abnormal information set; acquiring primary discharge test data and secondary discharge test data of a target echelon battery; comparing the primary discharge test data with a first discharge safety threshold value and comparing the secondary discharge test data with a second discharge safety threshold value to determine the discharge abnormity of the target echelon battery and create a discharge abnormity information set; and comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set, and acquiring the health degree of the target echelon battery to be used as a basis for judging whether the target echelon battery is used for energy storage. Therefore, after the echelon battery is taken, the echelon battery is traced to obtain a vehicle type applied before the echelon battery, the echelon battery is subjected to primary charging and primary discharging, big data abnormity detection and analysis are carried out according to the charging process data of the same vehicle type, charging safety evaluation information of the battery is obtained, big data abnormity detection and analysis are carried out according to the discharging process data of the same vehicle type, discharging safety evaluation information of the battery is obtained, comprehensive evaluation is carried out on the comprehensive charging safety evaluation information and the discharging safety evaluation information, and whether the application of echelon energy storage is met or not is determined.
In addition, the application also provides a echelon battery screening device and a computer readable storage medium, which have the same or corresponding technical characteristics and the same effects as the echelon battery screening method.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of a method for screening graded batteries according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for constructing a charging safety model according to an embodiment of the present application;
fig. 3 is a structural diagram of a echelon battery screening apparatus according to an embodiment of the present application;
fig. 4 is a structural diagram of a echelon battery screening apparatus according to another embodiment of the present application;
fig. 5 is an overall flowchart of a method for screening graded batteries according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
The core of the application is to provide a method, a device and a medium for screening the echelon batteries, which are used for improving the screening efficiency of the whole package utilization of the echelon batteries.
The battery is attenuated after being used (such as being applied to an electric vehicle as a power battery) for a period of time, the attenuated battery is not enough to meet the application requirements of current equipment (such as the electric vehicle), but the battery also has a certain residual capacity and can still meet the requirements of electric equipment (such as charging the electric vehicle waiting for charging equipment), and the battery is called a gradient battery. Factors to be considered in the screening core of the echelon batteries are mainly safety and economic value, safety indexes of the battery core are mainly considered in safety, and the echelon batteries are required to be strictly screened in advance, screened out and then used in echelon with better safety and performance. In order to improve the screening efficiency to the echelon battery, through carrying out once charge-discharge to the echelon battery package in this application, accomplish the aassessment to the echelon battery package.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. Fig. 1 is a flowchart of a method for screening batteries in a ladder manner according to an embodiment of the present disclosure, and as shown in fig. 1, the method includes:
s10: a target echelon battery is selected.
The echelon battery refers to degraded utilization of a battery, that is, the battery decays after being used (for example, as a power battery applied to an electric vehicle) for a period of time, and the decayed battery is not enough to meet the application requirements of the current device (for example, an electric vehicle), but the battery also has a certain residual capacity and can still meet the requirements of the electric device (for example, charging the electric vehicle waiting for charging). In the embodiment, the echelon battery needing energy storage evaluation is called a target echelon battery.
S11: and determining target new energy equipment where the target echelon battery echelon is located before utilization and acquiring the type of the target new energy equipment.
After the target echelon battery is determined, the target new energy device using the target echelon battery is traced, so that the energy storage of the target echelon battery can be evaluated conveniently and subsequently according to the conductive data (including charging data and/or discharging data) of the target new energy device and the conductive data of the new energy device of the same type as the target new energy device.
S12: and selecting a plurality of new energy devices under the type as analysis objects.
In practice, the number of specifically selected analysis objects is not limited. Assuming that the type of the target new energy device obtained in the above step is the biddie EV450, a plurality of biddie EVs 450 may be selected as the analysis objects in this step. It should be noted that, here, multiple new energy devices of the same type are selected as analysis objects, and in order to improve accuracy of the obtained health degree information of the target new energy device, multiple new energy devices of the same type, the same vehicle age, and the same region as the target new energy device may be selected as analysis objects.
S13: and constructing a charging safety model and a discharging safety model according to the analysis object, acquiring a first charging safety threshold and a second charging safety threshold through the charging safety model, and acquiring a first discharging safety threshold and a second discharging safety threshold through the discharging safety model.
Fig. 2 is a flowchart of a method for constructing a charging safety model according to an embodiment of the present application, and as shown in fig. 2, the method includes:
s131: acquiring primary reference charging process data of an analysis object matched with the analysis object within a preset time range; the primary reference charging process data is data generated by the analysis object in the charging process.
The charging process data mentioned in the present application is data generated by any new energy device during the charging process. The charging process data is from a charging cloud platform and charging equipment and comprises charging system data and charging data, the charging system data mainly comprises charging pile/charging terminal data, user data and vehicle data which are stored in the cloud platform system supporting charging services, and the charging data is acquired from a vehicle by the charging equipment in the charging process (a handshaking stage, a parameter configuration stage, a charging stage and charging ending). The reference charging process data is data generated by the analysis object during the charging process.
Correspondingly, the reference charging process data may be charging process data of a new energy device of the same type as the target new energy device, or charging process data of a new energy device of the same type and the same age as the target new energy device. The primary reference charging process data includes, but is not limited to, a maximum temperature, a minimum temperature of the power storage battery, a State of Charge (SOC) of the power storage battery, a maximum voltage of the battery cell, a minimum voltage of the battery cell, a number of the maximum voltage of the battery cell, a number of a maximum temperature monitoring point, and a number of a minimum temperature monitoring point.
S132: and calculating secondary reference charging process data which are corresponding to the variables and used for representing the variable variation trend according to the primary reference charging process data.
The secondary reference charging process data includes, but is not limited to, a maximum temperature difference, a maximum pressure difference of the power storage battery, a maximum temperature rise rate of the power storage battery, a maximum SOC change rate of the power storage battery, a maximum change rate of a cell voltage, a fragrance concentration entropy value of a maximum temperature monitoring point number, a fragrance concentration entropy value of a minimum temperature monitoring point number, and a fragrance concentration entropy value of a cell maximum voltage number.
Taking the primary reference charging process data as the maximum temperature of the power storage battery as an example, the secondary reference charging process data includes other variables (such as temperature rise) directly or indirectly affected by the maximum temperature. In this embodiment, the battery temperature specifically refers to the highest temperature of the battery cell, and taking charging as an example, the battery temperature rise refers to the change of the highest temperature of the battery during the charging process of the battery, for example, when the battery is charged for 20 minutes, the highest temperature of the battery cell is 47 ℃, and when the battery is charged for 21 minutes, the highest temperature of the battery cell is raised to 48 ℃, and then the battery temperature rise for 1 minute is expressed as 48-47=1 ℃.
S133: and determining a first charging safety threshold corresponding to the primary reference charging process data and a second charging safety threshold corresponding to the secondary reference charging process data by using an anomaly detection method based on the corresponding relation between the primary reference charging process data and the secondary reference charging process data and time.
The method of abnormality detection used is not limited, and a statistical analysis method or a cluster analysis method may be used. The statistical analysis method may be a normal distribution statistical method, and the cluster analysis method may be a gaussian mixed cluster method. Here, a first charging safety threshold corresponding to the highest temperature data in the reference charging process is determined by taking a normal distribution statistical method as an example.
(1) Selecting reference charging process data in a charging order of new energy equipment of the same type as target new energy equipment within the past 30 days as sample data;
(2) Acquiring the maximum value of the highest temperature of the battery per minute for each order as the highest temperature corresponding to the order;
(3) Calculating the average value mu and the standard deviation sigma of the highest temperature of all orders;
(4) According to the "3 σ" principle of normal distribution: the interval (μ -3 σ, μ +3 σ) is the actually possible value interval of the random variable X, and the probability that X falls outside the interval is less than three thousandths, which is generally considered to be not occurred in the practical problem. If the variable exceeds three thousandths, the anomaly point is reached. The threshold for the highest temperature is μ +3 σ, the first charge safety threshold. The manner of determining the second charging safety threshold corresponding to the secondary reference charging process data is similar to the manner of determining the first charging safety threshold, and is not described herein again.
The above process of building the charging safety model is described in detail, and since the method of building the discharging safety model is similar to the method of building the charging safety model, the embodiment of building the discharging safety model is not described herein, and the building of the discharging safety model mainly includes the following steps: acquiring primary reference discharge process data of an analysis object in a preset time range, wherein the primary reference discharge process data is matched with the analysis object and is data generated by the analysis object in a discharge process; calculating secondary reference discharge process data which are corresponding to each variable and used for representing the variable variation trend according to the primary reference discharge process data; and determining a first discharge safety threshold corresponding to the primary reference discharge process data and a second discharge safety threshold corresponding to the secondary reference discharge process data by using an anomaly detection method based on the corresponding relation between the primary reference discharge process data and the secondary reference discharge process data and time.
S14: and acquiring primary charging test data and secondary charging test data of the target echelon battery.
The primary charging test data are data directly obtained by a target echelon battery charging test, and the secondary charging test data are data which are used for representing variable variation trends and correspond to all variables and are calculated according to the primary charging test data.
In the above steps, the charging and discharging data of the analysis object are obtained, and in order to obtain the energy storage condition of the target echelon battery, a charging test and a discharging test need to be performed on the target echelon battery. It should be noted that, in practice, the sequence of the charging test and the discharging test is not limited. In this embodiment, the charging test is performed on the target echelon battery first, and then the discharging test is performed, so that the situation that the echelon battery is damaged again due to the fact that the stored electric quantity is less if the echelon battery is originally stored is prevented. The target echelon battery charging test data of the target new energy device also includes primary charging data and secondary charging data, as the obtained analysis object.
S15: the primary charge test data is compared to a first charge safety threshold, and the secondary charge test data is compared to a second charge safety threshold to determine a target echelon battery charge anomaly and create a charge anomaly information set.
In order to detect charging abnormity of the target echelon battery, the primary charging test data can be compared with a first charging safety threshold, the secondary charging test data can be compared with a second charging safety threshold, and when the primary charging test data is larger than the first charging safety threshold or the secondary charging test data is larger than the second charging safety threshold, the target echelon battery can be considered to be charged abnormity, a charging abnormity information set is created, and a user can conveniently check the charging abnormity.
S16: and acquiring primary discharge test data and secondary discharge test data of the target echelon battery.
The primary discharge test data are data directly obtained by the discharge test of the target echelon battery, and the secondary discharge test data are data which are used for representing variable variation trends and correspond to all variables and are calculated according to the primary discharge test data.
S17: the primary discharge test data is compared to a first discharge safety threshold and the secondary discharge test data is compared to a second discharge safety threshold to determine a target echelon battery discharge anomaly and create a discharge anomaly information set.
Similar to the above-mentioned determination of abnormal charging detection of the target battery in steps, the detailed description of the embodiment of abnormal discharging detection of the target battery in steps is omitted here.
S18: and comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set, and acquiring the health degree of the target echelon battery to be used as a basis for judging whether the target echelon battery is used for storing energy.
And evaluating the target echelon according to the obtained charging abnormal information set and discharging abnormal information set to obtain the health degree of the target echelon battery, and screening the target echelon battery according to the health degree.
The echelon battery screening method provided by the embodiment comprises the following steps: selecting a target echelon battery; determining target new energy equipment before the target echelon battery echelon is utilized and acquiring the type of the target new energy equipment; selecting a plurality of new energy devices under the type as analysis objects; establishing a charging safety model and a discharging safety model according to an analysis object, and acquiring a first charging safety threshold and a second charging safety threshold through the charging safety model and acquiring a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; acquiring primary charging test data and secondary charging test data of a target echelon battery; comparing the primary charging test data with a first charging safety threshold value and comparing the secondary charging test data with a second charging safety threshold value to determine that the target echelon battery is abnormally charged and create a charging abnormal information set; acquiring primary discharge test data and secondary discharge test data of a target echelon battery; comparing the primary discharge test data with a first discharge safety threshold value and comparing the secondary discharge test data with a second discharge safety threshold value to determine the discharge abnormity of the target echelon battery and create a discharge abnormity information set; and comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set, and acquiring the health degree of the target echelon battery to be used as a basis for judging whether the target echelon battery is used for storing energy. Therefore, after the echelon battery is taken, the echelon battery is traced to obtain a vehicle type applied before the echelon battery, the echelon battery is charged and discharged once, big data abnormity detection and analysis are carried out according to the charging process data of the same vehicle type, charging safety evaluation information of the battery is obtained, big data abnormity detection and analysis are carried out according to the discharging process data of the same vehicle type, discharging safety evaluation information of the battery is obtained, comprehensive evaluation is carried out on the comprehensive charging safety evaluation information and the discharging safety evaluation information, whether the application of echelon energy storage is met or not is determined, namely the evaluation of the echelon battery pack can be completed through carrying out one-time charging and discharging on the echelon battery pack, the evaluation accuracy of the echelon battery is guaranteed, and the screening efficiency of the whole echelon battery pack utilization is improved.
In order to quickly acquire the primary reference charging process data, in an implementation, it is a preferred embodiment that the acquiring of the primary reference charging process data, which is matched with the analysis object within the preset time range, includes:
acquiring a plurality of target charging orders of an analysis object in a preset time range, wherein the target charging orders are matched with the analysis object;
primary reference charging process data is extracted from each target charging order.
In order to conveniently know the data of the battery in the charging process, the data generated by the new energy device in the charging process is stored in the charging order. And the charging order records data such as charging electric quantity, charging power, temperature corresponding to each charging moment and the like in the charging process of the new energy equipment according to the charging time. Therefore, when the reference charging process data is to be acquired once, it can be acquired directly from the first target charging order. In order to make the primary reference charging process data obtained through each analysis object have a referential property and improve the accuracy of detecting the charging abnormality of the target echelon battery of the target new energy device, in the embodiment, when the target charging order corresponding to the analysis object is obtained, the target charging order is limited within a preset time range. The preset time length range is not limited.
In the manner of obtaining the one-time reference charging process data of the analysis object in the reference charging process from the target charging order, the one-time reference charging process data corresponding to different moments in the charging process of the new energy device is recorded in the target charging order according to the charging time, so that the one-time reference charging process data can be obtained from the charging order conveniently and quickly.
Similar to the above embodiment of acquiring the primary reference charging process data, acquiring the primary reference discharging process data of the analysis object matching the analysis object within the preset time range includes:
acquiring a plurality of target discharge orders of an analysis object, which are matched with the analysis object, within a preset time range;
and extracting primary reference discharge process data from each target discharge order.
The above embodiments describe in detail the embodiments for obtaining the one-time reference charging process data, and details of the embodiments for obtaining the one-time reference discharging process data are not repeated herein.
In order to be able to more accurately determine the charging abnormality or the discharging abnormality of the target step battery, a preferred embodiment is that comparing the primary charging test data with the first charging safety threshold and comparing the secondary charging test data with the second charging safety threshold to determine the target step battery charging abnormality includes:
and determining that the target echelon battery is abnormally charged under the condition that the primary charging test data is greater than the first charging safety threshold and/or the secondary charging test data is greater than the second charging safety threshold.
Correspondingly, comparing the primary discharge test data with the first discharge safety threshold and comparing the secondary discharge test data with the second discharge safety threshold to determine the target echelon battery discharge anomaly comprises:
and determining that the target echelon battery is abnormal in discharge under the condition that the primary discharge test data is larger than the first discharge safety threshold and/or the secondary discharge test data is larger than the second discharge safety threshold.
The method provided by the embodiment determines the conduction abnormity of the target gradient battery in the case that the conduction abnormity of the target gradient battery is greater than the corresponding safety threshold value in the primary conduction test data (the charging test data or the discharging test data) and/or the secondary conduction test data, so that the conduction abnormity of the target gradient battery is accurately determined.
In the above embodiment, the health degree of the target echelon battery is obtained according to the abnormality detection, and in practice, the echelon battery may be in a sub-health state, so that, in a preferred embodiment, after the target echelon battery is comprehensively evaluated according to the charging abnormality information set and the discharging abnormality information set and the health degree of the target echelon battery is obtained, the echelon battery screening method further includes:
determining a first health condition corresponding to the primary charging test data of the target echelon battery and a first charging safety threshold according to the corresponding relation between the first preset deviation degree and the health condition;
determining a second health condition corresponding to the target echelon battery secondary charging test data and a second charging safety threshold according to a corresponding relation between a second preset deviation degree and the health condition;
the charging health condition of the target echelon battery is determined according to the first health condition and the second health condition.
Similarly, after comprehensively evaluating the target echelon battery according to the charging abnormality information set and the discharging abnormality information set and acquiring the health degree of the target echelon battery, the echelon battery screening method further includes:
determining a third health condition corresponding to the primary discharge test data of the target echelon battery and the first discharge safety threshold according to the corresponding relation between the third preset deviation degree and the health condition;
determining a fourth health condition corresponding to the target echelon battery secondary discharge test data and the second discharge safety threshold according to a corresponding relation between a fourth preset deviation degree and the health condition;
determining a discharge health condition of the target echelon battery according to the third health condition and the fourth health condition;
and determining the health condition of the target echelon battery according to the first health condition, the second health condition, the third health condition and the fourth health condition.
Specifically, determining the first health condition corresponding to the target echelon battery primary charging test data and the first charging safety threshold according to the corresponding relationship between the first preset deviation degree and the health condition includes:
acquiring a plurality of historical charging orders of target new energy equipment within a preset time;
acquiring primary historical charging process data from each historical charging order, wherein the primary historical charging process data is data generated by an analysis object in the charging process;
taking an average value corresponding to each variable in the primary historical charging process data as a first actual average value;
calculating a first reference average value corresponding to each variable of the primary reference charging process data in a preset time;
determining a first variable deviation degree of a first actual average value corresponding to the same variable and a first reference average value;
and determining a first actual health grade corresponding to the first variable deviation degree according to the preset corresponding relation between the first variable deviation degree and the health grade.
Determining a second health condition corresponding to the target echelon battery secondary charging test data and a second charging safety threshold according to a corresponding relation between a second preset deviation degree and the health condition comprises:
acquiring a plurality of historical charging orders of target new energy equipment within a preset time;
acquiring secondary historical charging process data from each historical charging order, wherein the secondary historical charging process data are data which are used for representing variable variation trends and correspond to variables and are obtained through calculation according to the primary historical charging process data;
taking the average value corresponding to each variable in the secondary historical charging process data as a second actual average value;
calculating a second reference average value corresponding to each variable of the secondary reference charging process data in a preset time;
determining a second variable deviation degree of a second actual average value and a second reference average value corresponding to the same variable;
and determining a second actual health grade corresponding to the second variable deviation degree according to the preset corresponding relation between the second variable deviation degree and the health grade.
Determining a third health condition corresponding to the target echelon battery primary discharge test data and the first discharge safety threshold according to a corresponding relation between a third preset deviation degree and the health condition, wherein the third health condition comprises:
acquiring a plurality of historical discharge orders of target new energy equipment within preset time;
acquiring primary historical discharge process data from each historical discharge order, wherein the primary historical discharge process data is data generated by an analysis object in a discharge process;
taking the average value corresponding to each variable in the primary historical discharge process data as a third actual average value;
calculating a third reference average value corresponding to each variable of the primary reference discharge process data in a preset time;
determining a third variable deviation degree of the first actual average value and a third reference average value corresponding to the same variable;
and determining a third actual health grade corresponding to the deviation degree of the third variable according to the preset corresponding relation between the deviation degree of the third variable and the health grade.
Determining a fourth health condition corresponding to the target echelon battery secondary discharge test data and the second discharge safety threshold according to a corresponding relation between a fourth preset deviation degree and the health condition, wherein the fourth health condition comprises:
acquiring a plurality of historical discharge orders of target new energy equipment within a preset time;
acquiring secondary historical discharge process data from each historical charge order, wherein the secondary historical discharge process data are data which are used for representing variable variation trends and correspond to variables and are obtained by calculation according to the primary historical discharge process data;
taking the average value corresponding to each variable in the secondary historical discharge process data as a fourth actual average value;
calculating a fourth reference average value corresponding to each variable of the secondary reference discharge process data in a preset time;
determining a fourth variable deviation degree of a fourth actual average value and a fourth reference average value corresponding to the same variable;
and determining a fourth actual health grade corresponding to the deviation degree of the fourth variable according to the preset corresponding relation between the deviation degree of the fourth variable and the health grade.
The correspondence between the preset deviation degree and the health level is determined according to the actual situation without limitation. In practice, generally, the greater the degree of deviation of the variable, the lower the health level, and the higher risk equipment is indicated.
The health condition of the target echelon battery is further evaluated on the basis of identifying the abnormal charging of the target echelon battery, so that a user can know the health condition of the target echelon battery and can more accurately screen the echelon battery.
In the above embodiments, the method for screening battery in steps is described in detail, and the present application also provides embodiments corresponding to the apparatus for screening battery in steps. It should be noted that the present application describes the embodiments of the apparatus portion from two perspectives, one from the perspective of the function module and the other from the perspective of the hardware.
Fig. 3 is a structural diagram of a echelon battery screening apparatus according to an embodiment of the present application. The present embodiment is based on the angle of the function module, including:
a first selection module 10, configured to select a target echelon battery;
the determining and acquiring module 11 is used for determining target new energy equipment where the target echelon battery is located before echelon utilization and acquiring the type of the target new energy equipment;
the second selection module 12 is configured to select a plurality of new energy devices in the type as analysis objects;
the building and obtaining module 13 is configured to build a charging safety model and a discharging safety model according to the analysis object, obtain a first charging safety threshold and a second charging safety threshold through the charging safety model, and obtain a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; wherein, construct the safety model of charging includes: acquiring primary reference charging process data of an analysis object in a preset time range, wherein the primary reference charging process data is matched with the analysis object and is generated by the analysis object in a charging process; calculating secondary reference charging process data which are corresponding to each variable and used for representing the variable variation trend according to the primary reference charging process data; determining a first charging safety threshold corresponding to the primary reference charging process data and a second charging safety threshold corresponding to the secondary reference charging process data by using an anomaly detection method based on the corresponding relation between the primary reference charging process data and the secondary reference charging process data and time; the method for constructing the discharge safety model comprises the following steps: acquiring primary reference discharge process data of an analysis object in a preset time range, wherein the primary reference discharge process data is matched with the analysis object and is data generated by the analysis object in a discharge process; calculating secondary reference discharge process data which are corresponding to each variable and used for representing the variable variation trend according to the primary reference discharge process data; determining a first discharge safety threshold corresponding to the primary reference discharge process data and a second discharge safety threshold corresponding to the secondary reference discharge process data by using an anomaly detection method based on the corresponding relation between the primary reference discharge process data and the secondary reference discharge process data and time;
the first obtaining module 14 is configured to obtain primary charging test data and secondary charging test data of the target echelon battery; the primary charging test data are data directly obtained by charging test of a target echelon battery, and the secondary charging test data are data which are used for representing variable variation trends and correspond to all variables and are calculated according to the primary charging test data;
a first determining module 15, configured to compare the primary charging test data with a first charging safety threshold and compare the secondary charging test data with a second charging safety threshold to determine that the target echelon battery is abnormally charged and create a charging abnormal information set;
the second obtaining module 16 is configured to obtain primary discharge test data and secondary discharge test data of the target echelon battery; the primary discharge test data are data directly obtained by a target echelon battery discharge test, and the secondary discharge test data are data which are used for representing variable variation trends and correspond to all variables and are calculated according to the primary discharge test data;
a second determining module 17, configured to compare the primary discharge test data with the first discharge safety threshold and compare the secondary discharge test data with the second discharge safety threshold to determine that the target echelon battery is abnormal in discharge and create a discharge abnormality information set;
and the evaluation and acquisition module 18 is configured to comprehensively evaluate the target echelon battery according to the charging abnormality information set and the discharging abnormality information set and acquire the health degree of the target echelon battery, so as to be used as a basis for judging whether the target echelon battery is used for energy storage.
Since the embodiment of the apparatus portion and the embodiment of the method portion correspond to each other, please refer to the description of the embodiment of the method portion for the embodiment of the apparatus portion, which is not repeated herein, and has the same beneficial effects as the step battery screening method.
Fig. 4 is a structural diagram of a echelon battery screening device according to another embodiment of the present application. This embodiment is based on the hardware angle, as shown in fig. 4, echelon battery sieving mechanism includes:
a memory 20 for storing a computer program;
a processor 21 for implementing the steps of the method of the echelon battery screening as mentioned in the above embodiments when executing the computer program.
The echelon battery screening device provided by the embodiment can include, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like.
The processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The Processor 21 may be implemented in hardware using at least one of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), and a Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in a wake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a Graphics Processing Unit (GPU) which is responsible for rendering and drawing the content required to be displayed by the display screen. In some embodiments, the processor 21 may further include an Artificial Intelligence (AI) processor for processing computational operations related to machine learning.
The memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing the following computer program 201, wherein after being loaded and executed by the processor 21, the computer program can implement the relevant steps of the echelon battery screening method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202, data 203, and the like, and the storage manner may be a transient storage manner or a permanent storage manner. Operating system 202 may include, among others, windows, unix, linux, and the like. Data 203 may include, but is not limited to, data related to the above-mentioned step battery screening method, and the like.
In some embodiments, the echelon battery screening device may further include a display screen 22, an input/output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.
It will be appreciated by those skilled in the art that the configuration shown in figure 4 does not constitute a limitation of the stepped battery screening apparatus and may include more or fewer components than those shown.
The echelon battery screening device provided by the embodiment of the application comprises a memory and a processor, wherein when the processor executes a program stored in the memory, the following method can be realized: the effect of the echelon battery screening method is the same as that of the echelon battery screening method.
Finally, the application also provides a corresponding embodiment of the computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps as set forth in the above-mentioned method embodiments.
It is understood that, if the method in the above embodiments is implemented in the form of software functional units and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, which are essential or part of the prior art, or all or part of the technical solutions may be embodied in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a portable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The computer-readable storage medium provided by the application comprises the above-mentioned echelon battery screening method, and the effects are the same as above.
In order to make those skilled in the art better understand the technical solution of the present application, the above-mentioned present application is further described in detail with reference to fig. 5, fig. 5 is an overall flowchart of a method for screening graded cells provided in an embodiment of the present application, and as shown in fig. 5, the method includes:
the method comprises two parts of abnormality detection and health degree evaluation, and specifically comprises the following steps:
s19: determining a vehicle in which the target echelon battery is located before echelon utilization and conducting electricity to the vehicle;
s20: determining a conductive vehicle type;
s21: extracting batch conductive orders of all vehicles in the vehicle type within a preset time range;
s22: extracting required variables from each order; directly entering step S24 or entering step S23 and then entering step S24;
s23: obtaining a secondary variable;
s24: establishing a corresponding relation between the variable and the time;
s25: obtaining a safety threshold through anomaly detection;
s26: acquiring current conductive data of a conductive vehicle;
s27: comparing the safety threshold with current conductive data of the conductive vehicle;
s28: determining whether there is an abnormality/high risk (alarm);
s29: and (6) outputting a report.
The method for health assessment comprises the following steps: obtaining a vehicle mean value and obtaining a vehicle model mean value.
The vehicle average value acquisition method comprises the following steps:
after the vehicle is charged in step S19, the process proceeds to step S30;
s30: obtaining a historical charging order (including a current order) for the conductive vehicle;
s31: extracting required variables from each order;
s32: establishing a corresponding relation between the variable and the time;
s33: averaging all data under the desired variables (e.g., a mean model or a time and distance weighted average model);
the method for acquiring the vehicle model mean value comprises the following steps:
after step S24, proceed to step S34;
s34: all data under the desired variable are averaged or weighted averaged (which may also be considered a safety threshold).
Respectively obtaining a vehicle mean value and a vehicle model mean value in the steps, and then entering a step S35;
s35: comparing the vehicle type mean value with the vehicle mean value, and setting a corresponding health degree according to the deviation degree;
s36: determining the health degree;
s37: comprehensive health (pre-warning); and proceeds to output reporting of step S29.
In this embodiment, the health degree information of the target echelon battery is obtained through the abnormality detection and the health degree evaluation, so that misjudgment of the health degree information of the target echelon battery which displays normal (actually, the target echelon battery may be in a sub-health state) after the abnormality detection can be reduced as much as possible, the obtained health degree information of the target echelon battery is more accurate, and the target echelon battery can be accurately screened according to the health degree information of the target echelon battery.
The method, the device and the medium for screening the echelon batteries provided by the application are described in detail above. The embodiments are described in a progressive mode in the specification, the emphasis of each embodiment is on the difference from the other embodiments, and the same and similar parts among the embodiments can be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
Claims (14)
1. A echelon battery screening method is characterized by comprising the following steps:
selecting a target echelon battery;
determining target new energy equipment where the target echelon battery is located before echelon utilization and obtaining the type of the target new energy equipment;
selecting a plurality of new energy devices under the type as analysis objects;
establishing a charging safety model and a discharging safety model according to the analysis object, acquiring a first charging safety threshold and a second charging safety threshold through the charging safety model, and acquiring a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; wherein constructing the charging safety model comprises: acquiring primary reference charging process data of the analysis object, which is matched with the analysis object within a preset time range, wherein the primary reference charging process data is data generated by the analysis object in a charging process; calculating secondary reference charging process data which are corresponding to each variable and used for representing the variable variation trend according to the primary reference charging process data; determining a first charging safety threshold corresponding to the primary reference charging process data and a second charging safety threshold corresponding to the secondary reference charging process data by using an anomaly detection method based on the corresponding relation between the primary reference charging process data and the secondary reference charging process data and time; the construction of the discharge safety model comprises the following steps: acquiring primary reference discharge process data of the analysis object, which is matched with the analysis object within the preset time range, wherein the primary reference discharge process data is data generated by the analysis object in a discharge process; calculating secondary reference discharge process data which are corresponding to all the variables and used for representing the variable variation trend according to the primary reference discharge process data; determining a first discharge safety threshold corresponding to the primary reference discharge process data and a second discharge safety threshold corresponding to the secondary reference discharge process data by using the abnormality detection method based on the corresponding relation between the primary reference discharge process data and the secondary reference discharge process data and time;
acquiring primary charging test data and secondary charging test data of the target echelon battery; the primary charging test data are data directly obtained by the target echelon battery charging test, and the secondary charging test data are data which are used for representing the variable variation trend and correspond to each variable calculated according to the primary charging test data;
comparing the primary charging test data with the first charging safety threshold and the secondary charging test data with the second charging safety threshold to determine that the target echelon battery is abnormally charged and create a charging abnormal information set;
acquiring primary discharge test data and secondary discharge test data of the target echelon battery; the primary discharge test data are data directly obtained by the discharge test of the target echelon battery, and the secondary discharge test data are data which are used for representing the variable variation trend and correspond to each variable and are calculated according to the primary discharge test data;
comparing the primary discharge test data with the first discharge safety threshold and the secondary discharge test data with the second discharge safety threshold to determine the target echelon battery discharge anomaly and create a discharge anomaly information set;
and comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set, and acquiring the health degree of the target echelon battery to be used as a basis for judging whether the target echelon battery is used for energy storage.
2. The method for screening battery echelon as claimed in claim 1, wherein the obtaining of the primary reference charging process data of the analysis object matching the analysis object within a preset time range comprises:
acquiring a plurality of target charging orders of the analysis object, which are matched with the analysis object, within the preset time range;
extracting the primary reference charging process data from each of the target charging orders.
3. The echelon battery screening method of claim 2, wherein the obtaining of the primary reference discharge process data of the analysis object matching the analysis object within the preset time range comprises:
acquiring a plurality of target discharge orders of the analysis object, which are matched with the analysis object, within the preset time range;
and extracting the primary reference discharge process data from each target discharge order.
4. The method for echelon battery screening as recited in claim 1, wherein the comparing the primary charge test data to the first charge safety threshold and the secondary charge test data to the second charge safety threshold to determine the target echelon battery charging anomaly comprises:
and determining that the target echelon battery is abnormally charged under the condition that the primary charging test data is greater than the first charging safety threshold and/or the secondary charging test data is greater than the second charging safety threshold.
5. The echelon battery screening method of claim 1, wherein the comparing the primary discharge test data to the first discharge safety threshold and the secondary discharge test data to the second discharge safety threshold to determine the target echelon battery discharge anomaly comprises:
and determining that the target echelon battery is abnormal in discharge under the condition that the primary discharge test data is larger than the first discharge safety threshold and/or the secondary discharge test data is larger than the second discharge safety threshold.
6. The echelon battery screening method according to any one of claims 1 to 5, wherein after the comprehensive evaluation of the target echelon battery based on the charging abnormality information set and the discharging abnormality information set and the acquisition of the degree of health of the target echelon battery, the method further comprises:
determining a first health condition corresponding to the primary charging test data of the target echelon battery and the first charging safety threshold according to a corresponding relation between a first preset deviation degree and the health condition;
determining a second health condition corresponding to the target echelon battery secondary charging test data and the second charging safety threshold according to a corresponding relation between a second preset deviation degree and the health condition;
determining a charging health of the target echelon battery as a function of the first health and the second health.
7. The echelon battery screening method according to claim 6, wherein after the comprehensive evaluation of the target echelon battery based on the charging abnormality information set and the discharging abnormality information set and the acquisition of the degree of health of the target echelon battery, the method further comprises:
determining a third health condition corresponding to the target echelon battery primary discharge test data and the first discharge safety threshold according to a corresponding relation between a third preset deviation degree and the health condition;
determining a fourth health condition corresponding to the target echelon battery secondary discharge test data and the second discharge safety threshold according to a corresponding relation between a fourth preset deviation degree and the health condition;
determining a discharge health of the target echelon battery as a function of the third health and the fourth health;
determining the health of the target echelon battery as a function of the first health, the second health, the third health, and the fourth health.
8. The method for screening battery echelon as claimed in claim 7, wherein the determining the first health condition corresponding to the first charging safety threshold and the target echelon battery primary charging test data according to the first preset relationship between the degree of deviation and the health condition comprises:
acquiring a plurality of historical charging orders of the target new energy equipment within a preset time;
acquiring primary historical charging process data from each historical charging order, wherein the primary historical charging process data are data generated by the analysis object in the charging process;
taking an average value corresponding to each variable in the primary historical charging process data as a first actual average value;
calculating a first reference average value corresponding to each variable of the primary reference charging process data in the preset time;
determining a first variable deviation degree of the first actual average value and the first reference average value corresponding to the same variable;
and determining a first actual health grade corresponding to the first variable deviation degree according to a preset corresponding relation between the first variable deviation degree and the health grade.
9. The method for screening battery echelon as claimed in claim 8, wherein the determining the second health status corresponding to the second charging safety threshold and the target echelon battery secondary charging test data according to the corresponding relationship between the second preset deviation degree and the health status comprises:
acquiring a plurality of historical charging orders of the target new energy device within a preset time;
acquiring secondary historical charging process data from each historical charging order, wherein the secondary historical charging process data are data which are used for representing the variable change trend and correspond to each variable and are obtained through calculation according to the primary historical charging process data;
taking an average value corresponding to each variable in the secondary historical charging process data as a second actual average value;
calculating a second reference average value corresponding to each variable of the secondary reference charging process data in the preset time;
determining a second variable deviation degree of the second actual average value and the second reference average value corresponding to the same variable;
and determining a second actual health grade corresponding to the second variable deviation degree according to a preset corresponding relation between the second variable deviation degree and the health grade.
10. The method for screening battery echelon as claimed in claim 9, wherein the determining the third health condition corresponding to the first discharge safety threshold and the target echelon battery primary discharge test data according to the corresponding relationship between the third preset deviation degree and the health condition comprises:
acquiring a plurality of historical discharge orders of the target new energy equipment within a preset time;
acquiring primary historical discharge process data from each historical discharge order, wherein the primary historical discharge process data are data generated by the analysis object in the discharge process;
taking an average value corresponding to each variable in the primary historical discharge process data as a third actual average value;
calculating a third reference average value corresponding to each variable of the primary reference discharge process data in the preset time;
determining a third variable deviation degree of the first actual average value and the third reference average value corresponding to the same variable;
and determining a third actual health grade corresponding to the third variable deviation degree according to a preset corresponding relation between the third variable deviation degree and the health grade.
11. The method for screening battery echelon as claimed in claim 10, wherein the determining the fourth health condition corresponding to the second discharge safety threshold and the target echelon battery secondary discharge test data according to the corresponding relationship between the fourth preset deviation degree and the health condition includes:
acquiring a plurality of historical discharge orders of the target new energy equipment within a preset time;
acquiring secondary historical discharge process data from each historical charge order, wherein the secondary historical discharge process data are data which are used for representing the variable change trend and correspond to each variable and are obtained through calculation according to the primary historical discharge process data;
taking an average value corresponding to each variable in the secondary historical discharge process data as a fourth actual average value;
calculating a fourth reference average value corresponding to each variable of the secondary reference discharge process data in the preset time;
determining a fourth variable deviation degree of the fourth actual average value corresponding to the same variable from the fourth reference average value;
and determining a fourth actual health grade corresponding to the fourth variable deviation degree according to a preset corresponding relation between the fourth variable deviation degree and the health grade.
12. The utility model provides a echelon battery sieving mechanism which characterized in that includes:
the first selection module is used for selecting a target echelon battery;
the determining and acquiring module is used for determining target new energy equipment before the target echelon battery is utilized in an echelon mode and acquiring the type of the target new energy equipment;
the second selection module is used for selecting the new energy equipment under the type as an analysis object;
the building and obtaining module is used for building a charging safety model and a discharging safety model according to the analysis object, obtaining a first charging safety threshold and a second charging safety threshold through the charging safety model, and obtaining a first discharging safety threshold and a second discharging safety threshold through the discharging safety model; wherein constructing the charging safety model comprises: acquiring primary reference charging process data of the analysis object, which is matched with the analysis object within a preset time range, wherein the primary reference charging process data is data generated by the analysis object in a charging process; calculating secondary reference charging process data which are corresponding to each variable and used for representing the variable variation trend according to the primary reference charging process data; determining a first charging safety threshold corresponding to the primary reference charging process data and a second charging safety threshold corresponding to the secondary reference charging process data by using an anomaly detection method based on the corresponding relation between the primary reference charging process data and the secondary reference charging process data and time; constructing the discharge safety model comprises the following steps: acquiring primary reference discharge process data of the analysis object, which is matched with the analysis object within the preset time range, wherein the primary reference discharge process data is data generated by the analysis object in a discharge process; calculating secondary reference discharge process data which are corresponding to all the variables and used for representing the variable variation trend according to the primary reference discharge process data; determining a first discharge safety threshold corresponding to the primary reference discharge process data and a second discharge safety threshold corresponding to the secondary reference discharge process data by using the abnormality detection method based on the corresponding relation between the primary reference discharge process data and the secondary reference discharge process data and time;
the first acquisition module is used for acquiring primary charging test data and secondary charging test data of the target echelon battery; the primary charging test data are data directly obtained by charging test of the target echelon battery, and the secondary charging test data are data which are used for representing the variable variation trend and correspond to each variable and are calculated according to the primary charging test data;
a first determining module, configured to compare the primary charging test data with the first charging safety threshold and compare the secondary charging test data with the second charging safety threshold to determine that the target echelon battery is abnormally charged and create a charging abnormal information set;
the second acquisition module is used for acquiring primary discharge test data and secondary discharge test data of the target echelon battery; the primary discharge test data are data directly obtained by the discharge test of the target echelon battery, and the secondary discharge test data are data which are used for representing the variable variation trend and correspond to each variable and are calculated according to the primary discharge test data;
a second determining module, configured to compare the primary discharge test data with the first discharge safety threshold and compare the secondary discharge test data with the second discharge safety threshold to determine that the target echelon battery is abnormally discharged and create a discharge abnormality information set;
and the evaluation and acquisition module is used for comprehensively evaluating the target echelon battery according to the charging abnormal information set and the discharging abnormal information set and acquiring the health degree of the target echelon battery so as to be used as a basis for judging whether the target echelon battery is used for energy storage.
13. The utility model provides a echelon battery sieving mechanism which characterized in that includes:
a memory for storing a computer program;
a processor for implementing the steps of the method of ladder battery screening of any one of claims 1 to 11 when executing the computer program.
14. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the steps of the method of ladder battery screening of any one of claims 1 to 11.
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