CN115792628A - Power battery safety evaluation method, device, equipment and storage medium - Google Patents
Power battery safety evaluation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for evaluating the safety of a power battery, wherein the method comprises the following steps: determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period; performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining safety evaluation parameters of the sample power battery according to analysis results; according to the safety evaluation parameters and the battery internal parameters of the sample power battery, carrying out battery safety diagnosis on the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result; training a wind control receiving acceleration model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated. The system can automatically evaluate the safety of the power battery, and the efficiency and the accuracy of the safety evaluation of the power battery are improved.
Description
Technical Field
The embodiment of the invention relates to the field of vehicles, in particular to a power battery safety evaluation method, a device, equipment and a storage medium.
Background
At present, the application of power batteries is more and more extensive, and the safety problem of the power batteries draws wide attention of people. At the present stage, the safety evaluation of the power battery is usually performed by a worker in charge of safety evaluation according to a specified power battery safety standard test method, and then the safety evaluation is performed according to the test result. The mode can only ensure the safety of the power battery when the power battery leaves a factory, cannot detect the safety of the power battery in the using process, needs higher labor cost, cannot realize systematic and automatic evaluation on the safety of the power battery, and has lower efficiency on the safety evaluation of the power battery. Therefore, how to improve the efficiency of safety evaluation of the power battery, save labor cost and improve the safety of the power battery in the using process is a problem to be solved.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for evaluating the safety of a power battery, which can realize the systematic automatic evaluation of the safety of the power battery and improve the efficiency and the accuracy of the safety evaluation of the power battery.
According to an aspect of the invention, a power battery safety evaluation method is provided, which includes:
determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period;
performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining safety evaluation parameters of the sample power battery according to analysis results;
according to the safety evaluation parameters and the battery internal parameters of the sample power battery, carrying out battery safety diagnosis on the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result;
training a wind control collection model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
According to another aspect of the present invention, there is provided a power battery safety evaluation device, comprising:
the residual electric quantity determining module is used for determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period;
the evaluation parameter determining module is used for performing data characteristic analysis on the operation parameters and the residual electric quantity and determining the safety evaluation parameters of the sample power battery according to the analysis result;
the evaluation data determining module is used for carrying out battery safety diagnosis on the sample power battery according to the safety evaluation parameters and the battery internal parameters of the sample power battery and determining the safety evaluation data of the sample power battery according to the diagnosis result;
the evaluation model determining module is used for training a wind control collection urging model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the power battery safety assessment method according to any embodiment of the invention.
According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to implement the power battery safety assessment method according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, the residual electric quantity of the sample power battery is determined according to the operation parameters of the sample power battery in the operation period; performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining safety evaluation parameters of the sample power battery according to the analysis result; according to the safety evaluation parameters and the battery internal parameters of the sample power battery, carrying out battery safety diagnosis on the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result; training a wind control receiving acceleration model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated. The problem of when carrying out the security aassessment to power battery, can only guarantee power battery when dispatching from the factory the security, can't realize carrying out systematic automatic aassessment to the power battery security in the use, need higher cost of labor, and to the efficiency of power battery security aassessment is higher is solved. According to the scheme, the safety evaluation parameter of the sample power battery is determined according to the operation parameter and the residual electric quantity of the sample power battery in the operation period, the battery safety of the sample power battery is diagnosed according to the safety evaluation parameter and the battery internal parameter of the power battery, the safety evaluation data of the sample power battery is obtained, the wind control collection and promotion model is trained according to the operation parameter, the battery internal parameter and the safety evaluation data, and the battery safety evaluation model used for evaluating the safety of the battery to be evaluated is obtained. The safety evaluation method has the advantages that the safety of the battery can be better evaluated in the using process of the power battery, the safety evaluation system of the battery is improved, the stable operation of the system is ensured, the safety of the power battery in the using process is improved, the labor cost is saved, and meanwhile, a foundation is laid for the subsequent improvement of the safety performance of the battery.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for evaluating safety of a power battery according to an embodiment of the present invention;
fig. 2 is a flowchart of a power battery safety evaluation method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a power battery safety evaluation method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a power battery safety evaluation apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be understood that the terms "first" and "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a power battery safety evaluation method according to an embodiment of the present invention, which is applicable to a situation of evaluating safety of a power battery, and is particularly applicable to a situation of constructing a battery safety evaluation model of a power battery according to an operation parameter, a remaining power amount, and a battery internal parameter of a sample power battery in an operation cycle, and evaluating safety of a battery to be evaluated according to the battery safety evaluation model. The method may be performed by a power battery safety evaluation device, which may be implemented in the form of hardware and/or software, which may be configured in an electronic device. As shown in fig. 1, the method includes:
and S110, determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period.
The power battery is a power source for providing power source for the tool, and is a storage battery for providing power for electric automobiles, electric trains, electric bicycles and golf carts. The sample power cell may be randomly drawn, using a normal power cell. The run period is a predefined sample power cell run time. The operating parameters may include temperature, open circuit voltage, terminal voltage, ohmic internal resistance, charge and discharge circuitry, polarization capacitance, and polarization internal resistance of the sample power cell during an operating cycle. The number of sample power cells can be set according to actual conditions.
Specifically, the operation parameters of the sample power battery in the operation period can be obtained through the sensor, the output voltage of the power battery is determined according to the operation parameters, and the residual capacity of the sample power battery is determined according to the output voltage of the power battery and a predetermined battery discharge curve. The battery discharge curve can be used for representing the mapping relation between the output voltage and the output electric quantity of the power battery.
For example, the remaining capacity of the sample power cell may be determined by the following sub-steps:
s1101, obtaining operation parameters of the sample power battery in an operation period, and determining an equivalent circuit model of the sample power battery according to the operation parameters.
Specifically, the method comprises the steps of obtaining operation parameters of a sample power battery in an operation period through a sensor, determining parameter change information of the sample power battery according to the operation parameters, and determining an equivalent circuit model according to the parameter change information. The parameter change information of the sample power battery can be a change curve of each operation parameter of the sample power battery in an operation period, and can also be a table for recording the operation parameters of the sample power battery at different moments in the operation period. The expression of the equivalent circuit model is shown in formula (1):
wherein, X is the mark of the equivalent circuit model; u shape oc Is the open circuit voltage of the sample power cell; u shape L Is the sample power cell terminal voltage; i is L The charging and discharging current of the sample power battery is obtained; r 1 And R 2 The polarization internal resistance of the sample power battery is obtained; c 1 And C 2 Is the polarization capacitance of the sample power cell.
And S1102, determining the residual capacity of the sample power battery by adopting an ampere-hour integration method, an open-circuit voltage method and a capacitance-voltage method based on the equivalent circuit model.
Specifically, based on the equivalent circuit model, the ampere-hour integration method is adopted to calculate the variation of the residual capacity of the sample power battery in the operation period. The calculation formula of the amount of change in the remaining amount of electricity is shown in formula (2):
wherein, the delta SOC is the variation of the residual capacity; q N The rated capacity of the power battery; k is the charge-discharge efficiency of the power battery.
And obtaining an initial SOC value by looking up a table according to the open-circuit voltage of the power battery by adopting an open-circuit voltage method. And estimating the electric quantity to be corrected of the sample power battery in real time by combining an ampere-hour integration method. The electric quantity to be corrected refers to the residual electric quantity of the sample power battery to be corrected. The calculation formula of the electric quantity to be corrected of the sample power battery is shown as formula (3):
SOC 1 ＝SOC 0 -ΔSOC (3)
therein, SOC 1 The electric quantity to be corrected of the sample power battery is obtained; SOC 0 The charging and discharging initial state of the power battery is obtained.
And finally, correcting the electric quantity to be corrected of the sample power battery by adopting a capacitance voltage method, and determining the residual electric quantity of the sample power battery. The formula for calculating the residual capacity of the sample power battery is shown in formula (4):
the SOC is the residual electric quantity of the sample power battery; SOC (system on chip) 2 The residual capacity of the sample power battery is calculated by a capacitance-voltage method.
The scheme provides an optional implementation mode for calculating the residual capacity of the power battery, and the calculation accuracy of the residual capacity of the power battery is improved.
And S120, performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining the safety evaluation parameters of the sample power battery according to the analysis result.
The data feature analysis of the operation parameters and the residual electric quantity refers to data feature extraction of the operation parameters and the residual electric quantity and analysis of extracted feature data. The safety evaluation parameter refers to data representing an association between the operation parameter and the remaining capacity and the safety of the sample power battery. For example, the safety evaluation parameter may be an operation parameter of the sample power battery and a battery aging degree corresponding to the remaining power, or may be a battery safety factor corresponding to the operation parameter of the sample power battery and the remaining power.
Specifically, a principal component analysis method can be adopted to perform data feature extraction on the operation parameters and the residual electric quantity of the sample power battery, obtain feature data of the operation parameters and the residual electric quantity, analyze the extracted feature data, and determine the safety evaluation parameters of the sample power battery according to an analysis result of the principal component analysis method.
And S130, carrying out battery safety diagnosis on the sample power battery according to the safety evaluation parameters and the battery internal parameters of the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result.
The safety evaluation data of the sample power battery can be the safety degree score of the sample power battery, and can also be the safety level of the sample power battery. Battery internal parameters include, but are not limited to: the power battery comprises internal resistance of the power battery, temperature of the power battery, capacitance of the power battery and power of the power battery.
Specifically, a fault diagnosis model of the power battery is adopted, battery safety diagnosis is carried out on the sample power battery according to safety evaluation parameters and battery internal parameters of the sample power battery, the safety evaluation parameters and the battery internal parameters of the sample power battery are used as input data of the fault diagnosis model, output data of the fault diagnosis model is used as a diagnosis result of the battery safety diagnosis of the sample power battery, the diagnosis result is analyzed, and safety evaluation data of the sample power battery are determined.
S140, training the wind control collection model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
Wherein, the wind control collection model is a machine learning model. The battery to be evaluated is a power battery needing safety evaluation.
Specifically, model training is carried out on the wind control receiving acceleration model by adopting operation parameters, internal parameters of the battery and safety evaluation data, wherein the safety evaluation data is used as supervision data of the wind control receiving acceleration model in the training process. And determining a battery safety evaluation model according to the training result.
When the safety of the battery to be evaluated is evaluated, the operation parameters of the battery to be evaluated and the internal parameters of the battery are input into a battery safety evaluation model, and the battery safety evaluation model determines the residual electric quantity of the battery to be evaluated according to the operation parameters of the battery to be evaluated; determining a safety evaluation parameter of the battery to be evaluated according to the operation parameter and the residual electric quantity of the battery to be evaluated; determining safety evaluation data of the battery to be evaluated according to the safety evaluation parameters of the battery to be evaluated and the internal parameters of the battery; and determining the safety evaluation result of the battery to be evaluated according to the safety evaluation data and the operation parameters of the battery to be evaluated.
According to the technical scheme provided by the embodiment, the residual electric quantity of the sample power battery is determined according to the operation parameters of the sample power battery in the operation period; performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining safety evaluation parameters of the sample power battery according to the analysis result; according to the safety evaluation parameters and the battery internal parameters of the sample power battery, carrying out battery safety diagnosis on the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result; training a wind control receiving-urging model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data, and determining a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated. The problem of when carrying out the security aassessment to power battery, can only guarantee power battery when dispatching from the factory the security, can't realize carrying out systematic automatic aassessment to the power battery security in the use, need higher cost of labor, and to the efficiency of power battery security aassessment is higher is solved. According to the scheme, the safety evaluation parameter of the sample power battery is determined according to the operation parameter and the residual electric quantity of the sample power battery in the operation period, the battery safety of the sample power battery is diagnosed according to the safety evaluation parameter and the battery internal parameter of the power battery, the safety evaluation data of the sample power battery is obtained, the wind control collection-prompting model is trained according to the operation parameter, the battery internal parameter and the safety evaluation data, and the battery safety evaluation model used for evaluating the safety of the battery to be evaluated is obtained. The safety evaluation method has the advantages that the safety of the battery can be better evaluated in the using process of the power battery, the safety evaluation system of the battery is improved, the stable operation of the system is ensured, the safety of the power battery in the using process is improved, the labor cost is saved, and meanwhile, a foundation is laid for the subsequent improvement of the safety performance of the battery.
Example two
Fig. 2 is a flowchart of a power battery safety evaluation method according to a second embodiment of the present invention, which is optimized based on the above-described second embodiment, and provides a preferred embodiment of performing battery safety diagnosis on a sample power battery according to safety evaluation parameters and battery internal parameters of the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result. Specifically, as shown in fig. 2, the method includes:
and S210, determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period.
And S220, performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining the safety evaluation parameters of the sample power battery according to the analysis result.
And S230, performing first safety diagnosis on the sample power battery according to the internal parameters of the sample power battery to obtain a first diagnosis result.
Specifically, the parameter weight for the first safety diagnosis is configured for each power battery parameter in advance according to the degree of influence of each battery internal parameter on the safety of the power battery. After battery internal parameters of the sample power battery are obtained, first safety diagnosis is carried out on the sample power battery based on the parameter weight and a preset first safety diagnosis formula, and the numerical range of the obtained calculation result is a first diagnosis result.
Illustratively, a first diagnosis result of a first safety diagnosis of the sample power cell may be obtained by the following substeps:
s2301, performing iterative training on the fault diagnosis model according to the internal battery parameters of the sample power battery, and acquiring residual error data and model output data of the fault diagnosis model in the iterative training process.
And the model output data is a fault diagnosis result of the sample power battery determined by the fault diagnosis model according to the battery internal parameters of the sample power battery.
Specifically, through the fault diagnosis model, first safety diagnosis is carried out on the sample power battery according to the battery internal parameters of the sample power battery, and residual error data and model output data of the fault diagnosis model are obtained in the running process of the fault diagnosis model.
And S2302, when the residual data meet a preset residual condition, determining the model output data of the fault diagnosis model as a first diagnosis result of the first safety diagnosis of the sample power battery.
Wherein, the preset residual condition may be that the residual data is smaller than the residual threshold.
Specifically, if the residual data meet the preset residual condition, stopping iterative training of the fault diagnosis model, obtaining model output data of the fault diagnosis model during iterative training, and taking the final model output data of the fault diagnosis model as a first diagnosis result of performing first safety diagnosis on the sample power battery.
It can be understood that the fault diagnosis model is iteratively trained according to the internal parameters of the battery, and when the residual data of the fault diagnosis model meets the residual condition, the model output data of the fault diagnosis model is used as the first diagnosis result, so that the accuracy of the first diagnosis result can be improved.
And S240, carrying out second safety diagnosis on the sample power battery according to the safety evaluation parameters to obtain a second diagnosis result.
Wherein the second diagnosis result is an index for measuring the aging degree of the power battery.
Specifically, according to the safety evaluation parameter, a second safety diagnosis is performed on the sample power battery, the power battery aging degree corresponding to the safety evaluation parameter is determined, and the power battery aging degree corresponding to the safety evaluation parameter is used as a second diagnosis result.
For example, a second safety diagnosis may be performed on the sample power battery according to a parameter ratio between the safety evaluation parameter and the rated parameter, and a correspondence between the candidate ratio and the battery aging degree, so as to obtain a second diagnosis result.
The above solution provides an alternative implementation for obtaining the second diagnosis result, which may improve the accuracy of the second diagnosis result.
And S250, integrating the first diagnosis result and the second diagnosis result, and determining the safety evaluation data of the sample power battery.
It is understood that the safety evaluation data of the sample power cell includes the above-described first diagnostic result and second diagnostic result.
S260, training the wind control collection model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data, and determining a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
According to the technical scheme of the embodiment, after the residual electric quantity of the sample power battery is determined according to the operation parameters of the sample power battery in the operation period, the safety evaluation parameters of the sample power battery are determined according to the operation parameters and the residual electric quantity, the first diagnosis result is determined according to the internal parameters of the battery, the second diagnosis result is determined according to the safety evaluation parameters, the first diagnosis result and the second diagnosis result are integrated, the safety evaluation data of the sample power battery are determined, the wind control collection model is trained according to the operation parameters, the internal parameters of the battery and the safety evaluation data, and the battery safety evaluation model for evaluating the safety of the battery to be evaluated is obtained. According to the scheme, the diagnosis result of the power battery is determined according to the internal parameters of the battery and the safety evaluation parameters respectively, and the two diagnosis results are integrated to obtain the final safety evaluation data of the sample power battery, so that the accuracy of the safety evaluation data can be improved, the model accuracy of the battery safety evaluation model is improved, and the accuracy of the safety evaluation result of the battery to be evaluated is improved.
EXAMPLE III
Fig. 3 is a flowchart of a power battery safety evaluation method according to a third embodiment of the present invention, which is optimized based on the third embodiment, and provides a preferred implementation manner of performing data feature analysis on an operation parameter and a remaining power amount and determining a safety evaluation parameter of a sample power battery according to an analysis result. Specifically, as shown in fig. 3, the method includes:
and S310, determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period.
And S320, determining the parameter confidence of the operation parameters and the electric quantity confidence of the residual electric quantity.
The parameter confidence level refers to the confidence level of each operating parameter of the sample battery. The electric quantity confidence level refers to the confidence level of the acquired residual electric quantity of the sample power battery.
Specifically, the parameter confidence of each operation parameter is calculated according to the operation parameters of the sample power battery in the operation period and a confidence calculation formula. And calculating the electric quantity confidence coefficient of the residual electric quantity according to the residual electric quantity of the sample power battery and a confidence coefficient calculation formula.
S330, performing data filtering processing on the operation parameters and the residual electric quantity based on the parameter confidence coefficient and the electric quantity confidence coefficient, and determining reliable parameters and reliable electric quantity.
Specifically, a parameter confidence threshold and an electric quantity confidence threshold may be set in advance. And comparing the parameter confidence with a parameter confidence threshold, and if the parameter confidence is greater than the parameter confidence threshold, determining that the operating parameter corresponding to the parameter confidence can be used as a reliable parameter. And comparing the electric quantity confidence coefficient with the electric quantity confidence threshold, and if the electric quantity confidence coefficient is greater than the electric quantity confidence threshold, determining the residual electric quantity corresponding to the electric quantity confidence coefficient as the reliable electric quantity. Therefore, data filtering processing can be performed on the operation parameters and the residual electric quantity based on the parameter confidence degree and the electric quantity confidence degree, so as to obtain the operation parameters corresponding to the parameter confidence degrees greater than the parameter confidence threshold as reliable parameters, and obtain the residual electric quantity corresponding to the electric quantity confidence degrees greater than the electric quantity confidence threshold as reliable electric quantity.
And S340, performing data characteristic analysis on the reliable parameters and the reliable electric quantity, and determining the safety evaluation parameters of the sample power battery according to the analysis result.
Specifically, a principal component analysis method can be adopted to perform data feature extraction on the reliable parameters and the reliable electric quantity, obtain feature data of the reliable parameters and the reliable electric quantity, analyze the extracted feature data, and determine the safety evaluation parameters of the sample power battery according to the analysis result of the principal component analysis method.
And S350, carrying out battery safety diagnosis on the sample power battery according to the safety evaluation parameters and the battery internal parameters of the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result.
S360, training the wind control collection model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data, and determining a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
According to the technical scheme, when the operation parameters and the residual electric quantity are subjected to data characteristic analysis, the parameter confidence coefficient of the operation parameters and the electric quantity confidence coefficient of the residual electric quantity are determined, the operation parameters and the residual electric quantity are screened according to the parameter confidence coefficient and the electric quantity confidence coefficient so as to screen invalid data in the operation parameters and the residual electric quantity, reliable parameters and reliable electric quantity are obtained, the safety evaluation parameters of the sample power battery are determined according to the data characteristic analysis results of the reliable parameters and the reliable electric quantity, and the accuracy of the safety evaluation parameters can be improved. Meanwhile, invalid data in the operation parameters and the residual electric quantity are screened out, and the efficiency of data characteristic analysis can be improved.
Example four
Fig. 4 is a schematic structural diagram of a power battery safety evaluation apparatus according to a fourth embodiment of the present invention. The embodiment can be applied to the situation of evaluating the safety of the power battery. As shown in fig. 4, the power battery safety evaluation device includes: a remaining capacity determination module 410, an evaluation parameter determination module 420, an evaluation data determination module 430, and an evaluation model determination module 440.
The remaining power determining module 410 is configured to determine the remaining power of the sample power battery according to an operation parameter of the sample power battery in an operation cycle;
the evaluation parameter determining module 420 is used for performing data characteristic analysis on the operation parameters and the residual electric quantity and determining the safety evaluation parameters of the sample power battery according to the analysis result;
the evaluation data determining module 430 is configured to perform battery safety diagnosis on the sample power battery according to the safety evaluation parameters and the battery internal parameters of the sample power battery, and determine safety evaluation data of the sample power battery according to the diagnosis result;
the evaluation model determining module 440 is used for training the wind control collection model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
According to the technical scheme provided by the embodiment, the residual electric quantity of the sample power battery is determined according to the operation parameters of the sample power battery in the operation period; performing data characteristic analysis on the operation parameters and the residual electric quantity, and determining safety evaluation parameters of the sample power battery according to analysis results; according to the safety evaluation parameters and the battery internal parameters of the sample power battery, carrying out battery safety diagnosis on the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result; training a wind control receiving acceleration model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated. The problem of when carrying out the security aassessment to power battery, only can guarantee power battery when dispatching from the factory the security, can't realize carrying out systematic automation aassessment to the power battery security in the use, need higher cost of labor, and to the efficiency of power battery security aassessment is higher is solved. According to the scheme, the safety evaluation parameter of the sample power battery is determined according to the operation parameter and the residual electric quantity of the sample power battery in the operation period, the battery safety of the sample power battery is diagnosed according to the safety evaluation parameter and the battery internal parameter of the power battery, the safety evaluation data of the sample power battery is obtained, the wind control collection-prompting model is trained according to the operation parameter, the battery internal parameter and the safety evaluation data, and the battery safety evaluation model used for evaluating the safety of the battery to be evaluated is obtained. The safety evaluation method has the advantages that the safety of the battery can be better evaluated in the using process of the power battery, the safety evaluation system of the battery is improved, the stable operation of the system is ensured, the safety of the power battery in the using process is improved, the labor cost is saved, and meanwhile, a foundation is laid for the subsequent improvement of the safety performance of the battery.
Illustratively, the evaluation data determining module 430 further includes:
the first diagnosis result determining unit is used for carrying out first safety diagnosis on the sample power battery according to the internal parameters of the sample power battery to obtain a first diagnosis result;
the second diagnosis result determining unit is used for carrying out second safety diagnosis on the sample power battery according to the safety evaluation parameters to obtain a second diagnosis result;
and the evaluation data acquisition unit is used for integrating the first diagnosis result and the second diagnosis result and determining the safety evaluation data of the sample power battery.
Illustratively, the first diagnostic result determining unit is specifically configured to:
performing iterative training on the fault diagnosis model according to the internal parameters of the sample power battery, and acquiring residual data and model output data of the fault diagnosis model in the iterative training process;
and when the residual data meet a preset residual condition, determining the model output data of the fault diagnosis model as a first diagnosis result of the first safety diagnosis of the sample power battery.
Illustratively, the second diagnostic result determination unit is specifically configured to:
and carrying out second safety diagnosis on the sample power battery according to the parameter ratio between the safety evaluation parameter and the rated parameter and the corresponding relation between the candidate ratio and the battery aging degree, and obtaining a second diagnosis result.
For example, the remaining power determining module 410 is specifically configured to:
obtaining operation parameters of the sample power battery in an operation period, and determining an equivalent circuit model of the sample power battery according to the operation parameters;
and determining the residual electric quantity of the sample power battery by adopting an ampere-hour integration method, an open-circuit voltage method and a capacitance-voltage method based on the equivalent circuit model.
Illustratively, the evaluation parameter determination module 420 is specifically configured to:
reliability evaluation is carried out on the operation parameters and the residual electric quantity, and the parameter confidence coefficient of the operation parameters and the electric quantity confidence coefficient of the residual electric quantity are determined according to the reliability evaluation result;
performing data filtering processing on the operation parameters and the residual electric quantity based on the parameter confidence coefficient and the electric quantity confidence coefficient to determine reliable parameters and reliable electric quantity;
and performing data characteristic analysis on the reliable parameters and the reliable electric quantity, and determining the safety evaluation parameters of the sample power battery according to the analysis result.
The power battery safety evaluation device provided by the embodiment can be applied to the power battery safety evaluation method provided by any embodiment, and has corresponding functions and beneficial effects.
EXAMPLE five
FIG. 5 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
In some embodiments, the power cell safety assessment method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the power cell safety assessment method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power cell safety assessment method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable power cell safety assessment apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A power battery safety evaluation method is characterized by comprising the following steps:
determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period;
performing data characteristic analysis on the operation parameters and the residual capacity, and determining safety evaluation parameters of the sample power battery according to analysis results;
according to the safety evaluation parameters and the battery internal parameters of the sample power battery, carrying out battery safety diagnosis on the sample power battery, and determining safety evaluation data of the sample power battery according to the diagnosis result;
training a wind control collection model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
2. The method of claim 1, wherein performing a battery safety diagnosis on the sample power battery based on the safety assessment parameters and battery internal parameters of the sample power battery, and determining safety assessment data for the sample power battery based on the diagnosis, comprises:
according to the internal battery parameters of the sample power battery, carrying out first safety diagnosis on the sample power battery to obtain a first diagnosis result;
according to the safety evaluation parameter, carrying out second safety diagnosis on the sample power battery to obtain a second diagnosis result;
and integrating the first diagnosis result and the second diagnosis result to determine the safety evaluation data of the sample power battery.
3. The method of claim 2, wherein performing a first safety diagnosis on the sample power cell based on the cell internal parameters of the sample power cell to obtain a first diagnosis result comprises:
performing iterative training on a fault diagnosis model according to the internal parameters of the sample power battery, and acquiring residual error data and model output data of the fault diagnosis model in the iterative training process;
and when the residual error data meet a preset residual error condition, determining the model output data of the fault diagnosis model as a first diagnosis result of the first safety diagnosis of the sample power battery.
4. The method of claim 2, wherein performing a second safety diagnosis on the sample power cell based on the safety assessment parameter to obtain a second diagnosis result comprises:
and carrying out second safety diagnosis on the sample power battery according to the parameter ratio between the safety evaluation parameter and the rated parameter and the corresponding relation between the candidate ratio and the battery aging degree, and obtaining a second diagnosis result.
5. The method of claim 1, wherein determining the remaining charge of the sample power cell based on operating parameters of the sample power cell during an operating cycle comprises:
obtaining operation parameters of a sample power battery in an operation period, and determining an equivalent circuit model of the sample power battery according to the operation parameters;
and determining the residual capacity of the sample power battery by adopting an ampere-hour integration method, an open-circuit voltage method and a capacitance-voltage method based on the equivalent circuit model.
6. The method of claim 1, wherein performing a data characterization of the operational parameters and the remaining capacity to determine safety assessment parameters of the sample power cell based on the analysis comprises:
determining a parameter confidence level of the operating parameters and a charge confidence level of the residual charge;
performing data filtering processing on the operation parameters and the residual electric quantity based on the parameter confidence degree and the electric quantity confidence degree to determine reliable parameters and reliable electric quantity;
and performing data characteristic analysis on the reliable parameters and the reliable electric quantity, and determining the safety evaluation parameters of the sample power battery according to the analysis result.
7. A power battery safety evaluation device is characterized by comprising:
the residual electric quantity determining module is used for determining the residual electric quantity of the sample power battery according to the operation parameters of the sample power battery in the operation period;
the evaluation parameter determining module is used for performing data characteristic analysis on the operation parameters and the residual electric quantity and determining the safety evaluation parameters of the sample power battery according to the analysis result;
the evaluation data determining module is used for carrying out battery safety diagnosis on the sample power battery according to the safety evaluation parameters and the battery internal parameters of the sample power battery and determining the safety evaluation data of the sample power battery according to the diagnosis result;
the evaluation model determining module is used for training a wind control collection urging model by adopting the operation parameters, the internal parameters of the battery and the safety evaluation data to determine a battery safety evaluation model; the battery safety evaluation model is used for evaluating the safety of the battery to be evaluated.
8. The apparatus of claim 7, wherein the assessment data determination module comprises:
the first diagnosis result determining unit is used for carrying out first safety diagnosis on the sample power battery according to the internal parameters of the sample power battery to obtain a first diagnosis result;
the second diagnosis result determining unit is used for carrying out second safety diagnosis on the sample power battery according to the safety evaluation parameters to obtain a second diagnosis result;
and the evaluation data acquisition unit is used for integrating the first diagnosis result and the second diagnosis result and determining the safety evaluation data of the sample power battery.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power cell safety assessment method of any one of claims 1-6.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the power battery safety assessment method of any one of claims 1-6 when executed.
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