CN115980591B - Discharging safety synchronous early warning method and system for power battery - Google Patents
Discharging safety synchronous early warning method and system for power battery Download PDFInfo
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Abstract
The invention discloses a discharge safety synchronous early warning method and a discharge safety synchronous early warning system for a power battery, which relate to the technical field of power batteries, and comprise the following steps: acquiring battery component information of a target power battery; configuring a thermal management zone in a battery thermal management system based on the battery pole piece element, the battery diaphragm element, and the battery structural element; performing discharge test and outputting discharge test data; analyzing the heat of the battery in the discharging test process to obtain heat change data; performing curve synchronous fitting by using discharge test data and heat change data to generate a synchronous fitting curve; safety deviation recognition is carried out according to the synchronous fitting curve, and a recognition result is output; and generating synchronous early warning information according to the identification result. The invention solves the technical problems that the potential safety hazard in the discharging process of the power battery can not be found in time and the feedback time is long in the prior art, and achieves the technical effects of synchronously early warning the discharging safety and ensuring the discharging safety.
Description
Technical Field
The invention relates to the technical field of power batteries, in particular to a discharge safety synchronous early warning method and system of a power battery.
Background
In recent years, the country has come out of a plurality of policies supporting the development of new energy automobiles, and the new energy automobile industry is promoted to the important point of supporting the development of government industry. Based on the current situation that natural resources of China are rich in coal, lean in oil and low in gas and crude oil has high external dependence, and on the basis of the requirement of reducing carbon emission, the research on the related technology of the new energy automobile has very important significance for promoting the green development of automobile industry in China.
At present, a power battery is used as a main power source of the new energy automobile, and the safety of the power battery is an indispensable factor for the safety guarantee of the new energy automobile. And the life, performance and safety of the power battery are directly affected by temperature. However, the safety of the discharging process of the power battery is often that the reason is discovered after the fault is detected, the potential safety hazard cannot be synchronously pre-warned, the safety of the power battery cannot be ensured, and even the safety accident is caused. In the prior art, the potential safety hazard in the discharging process of the power battery cannot be found in time, and the technical problem of long feedback time exists.
Disclosure of Invention
The application provides a discharge safety synchronous early warning method and system of a power battery, which are used for solving the technical problems that potential safety hazards in the discharge process of the power battery cannot be found in time and the feedback time is long in the prior art.
In view of the above problems, the present application provides a method and a system for discharging safety synchronization and early warning of a power battery.
The application provides a discharge safety synchronization early warning method of a power battery, wherein the method is applied to a discharge safety synchronization early warning system of the power battery, the discharge safety synchronization early warning system is in communication connection with a battery thermal management system, and the method comprises the following steps:
Acquiring battery assembly information of a target power battery, wherein the battery assembly information comprises a battery pole piece element, a battery diaphragm element and a battery structure element;
Configuring a thermal management zone in the battery thermal management system based on the battery pole piece element, battery diaphragm element, and battery structural element;
discharging test is carried out on the target power battery, and discharging test data are output;
analyzing the heat of the battery in the discharging test process according to the battery heat management system to obtain heat change data;
performing curve synchronous fitting by using the discharge test data and the heat change data to generate a synchronous fitting curve;
carrying out safety deviation recognition according to the synchronous fitting curve, and outputting a recognition result, wherein the recognition result is a test result with the safety deviation greater than a preset safety deviation;
And generating synchronous early warning information according to the identification result.
In a second aspect of the present application, there is provided a discharge safety synchronization early warning system for a power battery, the system comprising:
The battery assembly acquisition module is used for acquiring battery assembly information of the target power battery, wherein the battery assembly information comprises a battery pole piece element, a battery diaphragm element and a battery structural element;
A thermal management zone configuration module for configuring a thermal management zone in the battery thermal management system based on the battery pole piece element, battery diaphragm element, and battery structural element;
the discharging test data acquisition module is used for outputting discharging test data by carrying out discharging test on the target power battery;
The heat change data acquisition module is used for analyzing the heat of the battery in the discharge test process according to the battery heat management system to obtain heat change data;
the fitting curve generation module is used for carrying out curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve;
The identification result output module is used for carrying out safety deviation degree identification according to the synchronous fitting curve and outputting an identification result, wherein the identification result is a test result with the safety deviation degree being greater than a preset safety deviation degree;
and the synchronous early warning information generation module is used for generating synchronous early warning information according to the identification result.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
According to the application, battery assembly information of a target power battery is obtained, wherein the battery assembly information comprises a battery pole piece element, a battery diaphragm element and a battery structural element, then a thermal management area in a battery thermal management system is configured based on the battery pole piece element, the battery diaphragm element and the battery structural element, then discharge test data are output through discharge test of the target power battery, then battery heat in the discharge test process is analyzed according to the battery thermal management system to obtain heat change data, curve synchronous fitting is carried out through the discharge test data and the heat change data, a synchronous fitting curve is generated, further safety deviation degree identification is carried out according to the synchronous fitting curve, and an identification result is output, wherein the identification result is a test result with the safety deviation degree greater than a preset safety deviation degree, and synchronous early warning information is generated according to the identification result. The technical effects of accurately identifying potential safety hazards in the discharging process of the power battery, improving the early warning accuracy and shortening the early warning feedback time are achieved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a discharge safety synchronization early warning method of a power battery according to an embodiment of the present application;
fig. 2 is a schematic flow chart of curve synchronization fitting in the discharging safety synchronization early warning method of the power battery provided by the embodiment of the application;
Fig. 3 is a schematic flow chart of an output recognition result in a discharging safety synchronization early warning method of a power battery according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a discharge safety synchronization early warning system of a power battery according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a battery assembly obtaining module 11, a thermal management area configuration module 12, a discharge test data obtaining module 13, a heat change data obtaining module 14, a fitting curve generating module 15, a recognition result outputting module 16 and a synchronous early warning information generating module 17.
Detailed Description
The application provides a discharge safety synchronous early warning method of a power battery, which is used for solving the technical problems that potential safety hazards in the discharge process of the power battery cannot be found in time and the feedback time is long in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server 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 modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the application provides a discharge safety synchronization early warning method of a power battery, wherein the method is applied to a discharge safety synchronization early warning system of the power battery, the discharge safety synchronization early warning system is in communication connection with a battery thermal management system, and the method comprises the following steps:
Step S100: acquiring battery assembly information of a target power battery, wherein the battery assembly information comprises a battery pole piece element, a battery diaphragm element and a battery structure element;
Step S200: configuring a thermal management zone in the battery thermal management system based on the battery pole piece element, battery diaphragm element, and battery structural element;
Specifically, the target power battery is any power battery which needs to be subjected to safety early warning analysis in the discharging process of the power battery, and the types of the power batteries comprise a lithium iron phosphate battery and a ternary lithium battery. The battery thermal management system is a management system which can ensure that a target power battery always works within a proper temperature range, and comprises air cooling, liquid cooling, thermoelectric cooling, heat pipe cooling and phase change material thermal management. The battery assembly information is a part for forming the target power battery and comprises a battery pole piece element, a battery diaphragm element and a battery structural element. The battery pole piece element refers to a positive electrode, a negative electrode, electrolyte and the like, wherein an active material of the positive electrode is cobalt lithium oxide, and an active material of the negative electrode is carbon. The battery diaphragm element is a special composite film and comprises a coating layer and a film hole. The battery structure element is an element for connecting and packaging each element of the target battery and comprises a connecting piece and a packaging piece.
Specifically, the area to be thermally managed in the battery thermal management system is determined according to the positions of the battery pole piece element, the battery diaphragm element and the battery structural element in the target power battery, and the service life of the power battery is directly influenced by the excessively high or excessively low temperature in the running process of the power battery, so that the determination of the thermal management area provides a reliable management object for the accurate measurement and monitoring of the battery temperature.
Step S300: discharging test is carried out on the target power battery, and discharging test data are output;
Specifically, a thermocouple temperature measuring point is attached to the surface of the target power battery, the thermocouple is connected to a multiplexer junction box, the positive electrode and the negative electrode of the target power battery are respectively connected to the positive electrode and the negative electrode of an electronic load, a sensor cable is correctly connected in a four-wire system mode, then a voltage measuring circuit of the target power battery is connected to a data acquisition system, and the voltage change of a battery pack in a discharging process is detected and recorded to perform a discharging test on the target power battery, so that discharging test data are obtained. The discharge test data are parameters of the power battery which change in the discharge process, and the parameters comprise capacity, charge state, working voltage, discharge cut-off voltage, temperature and the like. The capacity is the total amount of electricity discharged from the power battery from the full-charge state to the discharge cut-off condition. The state of charge is the ratio of the current charge of the battery to the total available capacity. The operating voltage is the voltage between the two poles of the battery after the external circuit is turned on. The discharge cut-off voltage refers to the lowest voltage of the power battery allowed in the discharging process. By summarizing and recording the discharge test data, the technical effect of providing analysis data for the subsequent analysis discharge process is achieved.
Step S400: analyzing the heat of the battery in the discharging test process according to the battery heat management system to obtain heat change data;
Specifically, the heat change condition of the thermal management area of the power battery in the discharging test process is analyzed through the battery thermal management system, and the heat data are arranged according to the time sequence of the discharging process to obtain the heat change trend in the discharging process, so that the heat change data are obtained. The heat change data are data reflecting the heat change condition of the battery in the discharging process, and comprise heat generation change data and heat generation power change data, wherein the heat change data have time marks. Therefore, the heat data corresponding to each time point of the battery in the discharging process is accurately searched. The heat generation amount change data is data of time change of heat generated by the power battery in the discharging process. The heat generation power variation data is data of time variation of heat generation power of the power battery.
Step S500: performing curve synchronous fitting by using the discharge test data and the heat change data to generate a synchronous fitting curve;
Further, as shown in fig. 2, step S500 of the embodiment of the present application further includes:
Step S510: acquiring the heat change data, wherein the heat change data comprises a plurality of thermal management areas, and each thermal management area stores heat change data of one element;
step S520: performing element abnormality identification according to the heat change data to obtain abnormal change data;
Step S530: taking the abnormal change data as an identification node to perform curve interception to generate a heat interception curve;
step S540: and taking the heat interception curve as a first curve to be fitted to perform curve synchronous fitting.
Further, after curve interception is performed by using the abnormal change data as an identification node and a heat interception curve is generated, step S530 of the embodiment of the present application further includes:
Step S531: acquiring time sequence information, phase information and frequency spectrum information of the heat interception curve;
Step S532: performing curve interception on the discharge test data according to the time sequence information, the phase information and the frequency spectrum information to generate a discharge interception curve, wherein the heat interception curve corresponds to the discharge interception curve one by one;
Step S533: and taking the discharge intercepting curve as a second curve to be fitted, and performing curve synchronous fitting with the first curve to be fitted to generate the synchronous fitting curve.
Specifically, the discharge test data and the heat change data both have time marks, so that the discharge test data and the heat change data at the same time point can be synchronously fitted, and the synchronous fitting curve is obtained. The synchronous fitting curve is obtained by taking time as an abscissa and taking discharge test data and heat change data as an ordinate, and fitting the ordinate, and reflects the synchronous condition of the discharge test data and the heat change data along with the time change.
Specifically, the heat change data comprises a plurality of heat management areas, namely, during discharge test, the heat change data of each heat management area is monitored and recorded through a battery heat management system. One for each thermal management region. And constructing a thermal change curve by taking the thermal change data as an ordinate and taking time as an abscissa, calculating the slope of the curve corresponding to each time point, and when the slope exceeds a preset slope threshold, indicating that the thermal change exceeds an acceptable range, wherein the element is abnormal, and taking the data corresponding to the abnormality as abnormal change data. Wherein, the preset slope threshold is set by the staff, and is not limited herein. And then, taking the abnormal change data as the identification nodes, and intercepting the heat change curves in the two identification nodes so as to obtain the heat intercepting curve, wherein the heat intercepting curve is a curve corresponding to abnormal heat change. And taking the heat interception curve as a first curve to be fitted to perform curve synchronous fitting, and laying a cushion for analyzing the reasons of abnormality.
Specifically, time sequence information, phase information and frequency spectrum information of the heat interception curve are obtained, wherein the time sequence information is time point information corresponding to the curve. The phase information is the phase information in a corresponding one of the periods in the heat intercept curve. The spectrum information is a curve point composition condition contained in the heat interception curve. And performing curve interception on the discharge test data according to the time sequence information, the phase information and the frequency spectrum information to generate a discharge interception curve, namely intercepting data of the same time node in the discharge test data according to the time node in the time sequence information. The discharge intercepting curve is constructed by taking time as an abscissa and discharge test data as an ordinate, and the heat intercepting curve corresponds to the discharge intercepting curve one by one, so that the accuracy of fitting operation is ensured. And taking the discharge intercepting curve as a second curve to be fitted, and performing curve synchronous fitting with the first curve to be fitted, so as to obtain a synchronous fitting curve.
Further, step S500 of the embodiment of the present application further includes:
step S550: obtaining N abnormal elements according to the abnormal change data;
Step S560: outputting N heat interception curves by using the N abnormal elements;
Step S570: generating N corresponding discharge intercepting curves according to the N heat intercepting curves;
step S580: and obtaining N synchronous fitting curves based on the N heat interception curves and the N discharge interception curves.
Further, step S580 of the embodiment of the present application further includes:
step S581: performing fitting mean square error calculation on the N synchronous fitting curves to obtain fitting error coefficients;
Step S582: judging whether the fitting error coefficient is larger than a preset fitting error coefficient or not;
step S583: if the fitting error coefficient is larger than the preset fitting error coefficient, acquiring a return instruction;
step S584: and according to the return instruction, carrying out fitting optimization by taking the error coefficient difference value as a feedback self-adaptive variable, and outputting N optimized fitting curves.
Specifically, according to the correspondence between the abnormal change data and the elements, since the abnormal change data is obtained from the thermal change data, and the thermal change data includes a plurality of thermal management areas each storing the thermal change data of one element, the corresponding N abnormal elements can be obtained from the abnormal change data. The N abnormal elements are elements in which the target power battery pack is abnormal in the discharging process. And obtaining N corresponding heat interception curves according to the abnormal points corresponding to the N abnormal elements, and further obtaining the N discharge interception curves from discharge test data according to the same time point. And synchronously fitting the N heat interception curves and the N discharge interception curves based on a time axis taking time as an abscissa to obtain N synchronous fitting curves.
Specifically, the fitting mean square error calculation is performed on the N synchronous fitting curves, parameter estimation is performed on the N synchronous fitting curves according to the synchronous condition of normal operation, a parameter estimation value is obtained, then an actual parameter true value is obtained according to the N synchronous fitting curves, and the expected value of the square of the difference between the parameter estimation value and the parameter true value is calculated to be used as a fitting error coefficient. The fitting error coefficient can reflect the fitting variation degree, and the smaller the fitting error coefficient is, the better the fitting error coefficient is. The preset fitting error coefficient is a coefficient value with a preset variation amplitude within an acceptable range. And when the fitting error coefficient is larger than the preset fitting error coefficient, indicating that the fitting error is larger at the moment, and obtaining a return instruction. The return instruction is a command for performing synchronous fitting on a curve for the previous return operation. And taking the error coefficient difference value as a feedback adaptive variable, namely the error to be eliminated, and optimizing the synchronous fitting process by taking the error coefficient difference value as a target to obtain the N optimized fitting curves. The N optimized fitting curves are fitting curves which meet the requirements after errors are reduced.
Step S600: carrying out safety deviation recognition according to the synchronous fitting curve, and outputting a recognition result, wherein the recognition result is a test result with the safety deviation greater than a preset safety deviation;
Further, as shown in fig. 3, the step S600 of the embodiment of the present application further includes:
Step S610: acquiring a fitting deviation point set, wherein the fitting deviation point set is a coordinate point set which is not positioned on the synchronous fitting curve;
Step S620: calculating the deviation degree according to the fitting deviation point set to obtain a deviation grade;
Step S630: and carrying out risk assignment according to the deviation grade, outputting a runaway risk index, and outputting the runaway risk index as the identification result.
Further, performing risk assignment with the deviation level, and outputting an uncontrolled risk index, in which step S630 further includes:
Step S631: generating assigned weights according to the type of the pole piece element, the battery diaphragm element and the battery structural element, wherein the assigned weights comprise pole piece weights, diaphragm weights and structural weights, and the pole piece weights are larger than the diaphragm weights and larger than the structural weights;
Step S632: and identifying the curve type in the synchronous fitting curve, and carrying out corresponding risk assignment according to the pole piece weight, the diaphragm weight and the structural weight.
Specifically, the identification result is a test result that deviation points on the synchronous fitting curve are subjected to deviation identification, and the safety deviation degree is larger than a preset safety deviation degree. The fitting deviation point set is a coordinate point set which is not located on the synchronous fitting curve. Alternatively, by calculating the deviation degree according to the number of the deviation points in the fitting deviation point set, the greater the number is, the stronger the isolation of the fitting is indicated, and at this time, the abnormality occurs. Optionally, the longitudinal deviation value and the transverse deviation value are weighted and calculated according to a weight of 1:1 by the longitudinal deviation value and the transverse deviation value of the distance synchronous fitting curve, and the calculated result is used as the deviation degree. The corresponding deviation grade is obtained according to the deviation degree, wherein the deviation grade is obtained by grading the deviation degree of the curve fitting point, and optionally comprises a grade A, a grade B and a grade C, the grade corresponding to the grade A is highest, and the abnormality is most obvious. The magnitude of the deviation corresponding to each deviation level is set by the staff himself, and is not limited herein. And carrying out risk assignment according to the deviation grade to obtain a runaway risk index, and outputting the runaway risk index as the identification result. The runaway risk index is an index describing the influence degree of the runaway in the discharging process of the power battery.
Specifically, according to the type of the pole piece element, the battery diaphragm element and the battery structural element, an assigned weight is generated, optionally, weight distribution is performed according to the importance degree of the element to the battery, and pole piece weight, diaphragm weight and structural weight are obtained, wherein the pole piece weight is larger than the diaphragm weight and larger than the structural weight. And carrying out corresponding risk assignment on the pole piece weight, the diaphragm weight and the structure weight according to curve types, namely fitted thermal management area types.
Step S700: and generating synchronous early warning information according to the identification result.
Specifically, according to the uncontrolled risk index in the identification result, the safety risk generated in the discharging process of the target power battery is obtained, the safety risk is combined with the curve type in the corresponding synchronous fitting curve to obtain an early warning source, the safety risk and the early warning source are used as synchronous early warning information and are sent to staff to perform risk early warning. The synchronous early warning information is information for reminding the risk of the power battery in real time in the discharging test process.
In summary, the embodiment of the application has at least the following technical effects:
according to the embodiment of the application, the information acquisition is carried out on the component elements of the power battery by acquiring the battery component information of the target power battery, the aim of providing basis for the subsequent analysis of abnormal elements is realized, then the thermal management area for carrying out battery thermal management is obtained based on the positions of the battery pole piece element, the battery diaphragm element and the battery structural element, the data generated in the discharging test process is obtained by carrying out discharging test on the target power battery by utilizing the thermocouple patch, the aim of providing analysis data for analyzing discharging safety is realized, then the battery heat in the discharging test process is analyzed according to the battery thermal management system, the condition that the heat changes along with time is obtained, the curve synchronous fitting is carried out according to the discharging test data and the heat change data, then the safety deviation degree identification is carried out on the synchronous fitting curve, the identification result is output, wherein the identification result is the test result with the safety deviation degree larger than the preset safety deviation degree, and the synchronous early warning information is generated according to the identification result. The technical effects of shortening the feedback time of the safety early warning of the power battery and improving the accuracy of the early warning are achieved.
Example two
Based on the same inventive concept as the discharge safety synchronization early warning method of a power battery in the foregoing embodiments, as shown in fig. 4, the present application provides a discharge safety synchronization early warning system of a power battery, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
a battery pack obtaining module 11, wherein the battery pack obtaining module 11 is used for obtaining battery pack information of a target power battery, and the battery pack information comprises a battery pole piece element, a battery diaphragm element and a battery structural element;
a thermal management zone configuration module 12, the thermal management zone configuration module 12 configured to configure a thermal management zone in the battery thermal management system based on the battery pole piece element, battery diaphragm element, and battery structural element;
The discharging test data obtaining module 13 is used for outputting discharging test data by performing discharging test on the target power battery;
The heat change data obtaining module 14 is used for analyzing the heat of the battery in the discharging test process according to the battery heat management system to obtain heat change data;
The fitting curve generating module 15 is used for performing curve synchronous fitting by using the discharge test data and the heat change data to generate a synchronous fitting curve;
The identification result output module 16, wherein the identification result output module 16 is configured to perform safety deviation recognition according to the synchronization fitting curve, and output an identification result, where the identification result is a test result with a safety deviation greater than a preset safety deviation;
And the synchronous early warning information generation module 17 is used for generating synchronous early warning information according to the identification result by the synchronous early warning information generation module 17.
Further, the system further comprises:
A change data obtaining unit configured to obtain the thermal change data, where the thermal change data includes a plurality of thermal management areas, and each thermal management area stores thermal change data of one component;
The abnormal change data obtaining unit is used for carrying out element abnormal recognition according to the heat change data to obtain abnormal change data;
The intercepting curve generating unit is used for performing curve interception by taking the abnormal change data as an identification node to generate a heat intercepting curve;
And the curve synchronous fitting unit is used for taking the heat intercepting curve as a first curve to be fitted to perform curve synchronous fitting.
Further, the system further comprises:
a time sequence information obtaining unit for obtaining time sequence information, phase information and frequency spectrum information of the heat interception curve;
The discharge interception curve generation unit is used for performing curve interception on the discharge test data according to the time sequence information, the phase information and the frequency spectrum information to generate a discharge interception curve, wherein the heat interception curve corresponds to the discharge interception curve one by one;
And the curve synchronous fitting unit is used for taking the discharge intercepting curve as a second curve to be fitted, and performing curve synchronous fitting with the first curve to be fitted to generate the synchronous fitting curve.
Further, the system further comprises:
N abnormal element obtaining units for obtaining N abnormal elements according to the abnormal change data;
N intercepting curve obtaining units, which are used for outputting N heat intercepting curves by the N abnormal elements;
the N discharge interception curve obtaining units are used for generating N corresponding discharge interception curves according to the N heat interception curves;
And the N synchronous fitting curve obtaining units are used for obtaining N synchronous fitting curves based on the N heat interception curves and the N discharge interception curves.
Further, the system further comprises:
the fitting error coefficient obtaining unit is used for carrying out fitting mean square error calculation on the N synchronous fitting curves to obtain fitting error coefficients;
The fitting error coefficient judging unit is used for judging whether the fitting error coefficient is larger than a preset fitting error coefficient or not;
The return instruction obtaining unit is used for obtaining a return instruction if the fitting error coefficient is larger than the preset fitting error coefficient;
And the N optimization fitting curve output units are used for carrying out fitting optimization by taking the error coefficient difference value as a feedback adaptive variable according to the return instruction, and outputting N optimization fitting curves.
Further, the system further comprises:
the fitting deviation point obtaining unit is used for obtaining a fitting deviation point set, wherein the fitting deviation point set is a coordinate point set which is not positioned on the synchronous fitting curve;
the deviation grade obtaining unit is used for calculating the deviation degree according to the fitting deviation point set to obtain a deviation grade;
and the risk index output unit is used for carrying out risk assignment according to the deviation grade, outputting a runaway risk index and outputting the runaway risk index as the identification result.
Further, the system further comprises:
The assigned weight generating unit is used for generating assigned weights according to the type of the pole piece element, the battery diaphragm element and the battery structural element, wherein the assigned weights comprise pole piece weights, diaphragm weights and structural weights, and the pole piece weights are larger than the diaphragm weights and larger than the structural weights;
and the risk assignment unit is used for carrying out corresponding risk assignment according to the pole piece weight, the diaphragm weight and the structure weight by identifying the curve type in the synchronous fitting curve.
It should be noted that the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (7)
1. The method is applied to a discharge safety synchronization early warning system of a power battery, and the discharge safety synchronization early warning system is in communication connection with a battery thermal management system, and the method comprises the following steps:
Acquiring battery assembly information of a target power battery, wherein the battery assembly information comprises a battery pole piece element, a battery diaphragm element and a battery structure element;
Configuring a thermal management zone in the battery thermal management system based on the battery pole piece element, battery diaphragm element, and battery structural element;
discharging test is carried out on the target power battery, and discharging test data are output;
analyzing the heat of the battery in the discharging test process according to the battery heat management system to obtain heat change data;
performing curve synchronous fitting by using the discharge test data and the heat change data to generate a synchronous fitting curve;
carrying out safety deviation recognition according to the synchronous fitting curve, and outputting a recognition result, wherein the recognition result is a test result with the safety deviation greater than a preset safety deviation;
Generating synchronous early warning information according to the identification result;
acquiring the heat change data, wherein the heat change data comprises a plurality of thermal management areas, and each thermal management area stores heat change data of one element;
performing element abnormality identification according to the heat change data to obtain abnormal change data;
Taking the abnormal change data as an identification node to perform curve interception to generate a heat interception curve;
and taking the heat interception curve as a first curve to be fitted to perform curve synchronous fitting.
2. The method of claim 1, wherein the curve interception is performed using the abnormal change data as an identification node, and after generating the heat interception curve, the method further comprises:
Acquiring time sequence information, phase information and frequency spectrum information of the heat interception curve;
performing curve interception on the discharge test data according to the time sequence information, the phase information and the frequency spectrum information to generate a discharge interception curve, wherein the heat interception curve corresponds to the discharge interception curve one by one;
And taking the discharge intercepting curve as a second curve to be fitted, and performing curve synchronous fitting with the first curve to be fitted to generate the synchronous fitting curve.
3. The method of claim 1, wherein the method further comprises:
Obtaining N abnormal elements according to the abnormal change data;
outputting N heat interception curves by using the N abnormal elements;
generating N corresponding discharge intercepting curves according to the N heat intercepting curves;
And obtaining N synchronous fitting curves based on the N heat interception curves and the N discharge interception curves.
4. A method as claimed in claim 3, wherein the method further comprises:
Performing fitting mean square error calculation on the N synchronous fitting curves to obtain fitting error coefficients;
Judging whether the fitting error coefficient is larger than a preset fitting error coefficient or not;
If the fitting error coefficient is larger than the preset fitting error coefficient, acquiring a return instruction;
and according to the return instruction, carrying out fitting optimization by taking the error coefficient difference value as a feedback adaptive variable, and outputting N optimized fitting curves.
5. The method of claim 1, wherein the safety deviation is identified according to the synchronization fit curve, and the identification result is output, the method further comprising:
acquiring a fitting deviation point set, wherein the fitting deviation point set is a coordinate point set which is not positioned on the synchronous fitting curve;
calculating the deviation degree according to the fitting deviation point set to obtain a deviation grade;
and carrying out risk assignment according to the deviation grade, outputting a runaway risk index, and outputting the runaway risk index as the identification result.
6. The method of claim 5, wherein risk assignment is performed at the bias level, outputting a runaway risk index, the method further comprising:
generating assigned weights according to the type of the pole piece element, the battery diaphragm element and the battery structural element, wherein the assigned weights comprise pole piece weights, diaphragm weights and structural weights, and the pole piece weights are larger than the diaphragm weights and larger than the structural weights;
And identifying the curve type in the synchronous fitting curve, and carrying out corresponding risk assignment according to the pole piece weight, the diaphragm weight and the structural weight.
7. A discharge safety synchronization early warning system for a power battery, the system comprising:
The battery assembly acquisition module is used for acquiring battery assembly information of the target power battery, wherein the battery assembly information comprises a battery pole piece element, a battery diaphragm element and a battery structural element;
A thermal management zone configuration module for configuring a thermal management zone in a battery thermal management system based on the battery pole piece element, the battery diaphragm element, and the battery structural element;
the discharging test data acquisition module is used for outputting discharging test data by carrying out discharging test on the target power battery;
The heat change data acquisition module is used for analyzing the heat of the battery in the discharge test process according to the battery heat management system to obtain heat change data;
the fitting curve generation module is used for carrying out curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve;
The identification result output module is used for carrying out safety deviation degree identification according to the synchronous fitting curve and outputting an identification result, wherein the identification result is a test result with the safety deviation degree being greater than a preset safety deviation degree;
The synchronous early warning information generation module is used for generating synchronous early warning information according to the identification result;
A change data obtaining unit configured to obtain the thermal change data, where the thermal change data includes a plurality of thermal management areas, and each thermal management area stores thermal change data of one component;
The abnormal change data obtaining unit is used for carrying out element abnormal recognition according to the heat change data to obtain abnormal change data;
The intercepting curve generating unit is used for performing curve interception by taking the abnormal change data as an identification node to generate a heat intercepting curve;
And the curve synchronous fitting unit is used for taking the heat intercepting curve as a first curve to be fitted to perform curve synchronous fitting.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104569836A (en) * | 2014-12-16 | 2015-04-29 | 北京新能源汽车股份有限公司 | Method and device for measuring heat generation power of batteries in condition of variable current |
| JP2015094726A (en) * | 2013-11-13 | 2015-05-18 | 学校法人東海大学 | Battery-state determination device and battery-state determination method |
| CN106768489A (en) * | 2016-11-30 | 2017-05-31 | 上海电机学院 | A kind of electrokinetic cell heating power assay method |
| WO2019174653A2 (en) * | 2019-06-17 | 2019-09-19 | 广东恒翼能科技有限公司 | Lithium battery thermal runaway early warning protection system and method |
| CN111890988A (en) * | 2020-07-15 | 2020-11-06 | 广州小鹏车联网科技有限公司 | Battery thermal runaway detection method and device, battery management system and vehicle |
| CN114355193A (en) * | 2021-11-22 | 2022-04-15 | 深圳锂安技术有限公司 | Battery discharge safety early warning method, electronic equipment and storage medium |
| WO2022188760A1 (en) * | 2021-03-09 | 2022-09-15 | 华为技术有限公司 | Method and device for estimating heat of power battery pack |
-
2023
- 2023-01-17 CN CN202310066414.3A patent/CN115980591B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015094726A (en) * | 2013-11-13 | 2015-05-18 | 学校法人東海大学 | Battery-state determination device and battery-state determination method |
| CN104569836A (en) * | 2014-12-16 | 2015-04-29 | 北京新能源汽车股份有限公司 | Method and device for measuring heat generation power of batteries in condition of variable current |
| CN106768489A (en) * | 2016-11-30 | 2017-05-31 | 上海电机学院 | A kind of electrokinetic cell heating power assay method |
| WO2019174653A2 (en) * | 2019-06-17 | 2019-09-19 | 广东恒翼能科技有限公司 | Lithium battery thermal runaway early warning protection system and method |
| CN111890988A (en) * | 2020-07-15 | 2020-11-06 | 广州小鹏车联网科技有限公司 | Battery thermal runaway detection method and device, battery management system and vehicle |
| WO2022188760A1 (en) * | 2021-03-09 | 2022-09-15 | 华为技术有限公司 | Method and device for estimating heat of power battery pack |
| CN114355193A (en) * | 2021-11-22 | 2022-04-15 | 深圳锂安技术有限公司 | Battery discharge safety early warning method, electronic equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 单一压力容器镍氢电池瞬态热特性的建模仿真;陈晓玲;张武高;陈飞;杨立;王保峰;;系统仿真学报;20070620;第19卷(第06期);1202-1204 * |
| 单体锂离子电池充放电数值仿真与试验;李彩红;虞跨海;徐红玉;宋书中;谢秋;河南科技大学学报(自然科学版);20170717;第38卷(第6期);33-37 * |
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