CN115980591A - Discharge safety synchronous early warning method and system for power battery - Google Patents
Discharge 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 system of a power battery, relating to the technical field of power batteries, wherein the method comprises the following steps: acquiring battery pack information of a target power battery; configuring a thermal management zone in a battery thermal management system based on a battery pole piece element, a battery separator element, and a battery structural element; performing a discharge test, and outputting discharge test data; analyzing the heat of the battery in the discharge test process to obtain heat change data; performing curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve; carrying out safety deviation identification according to the synchronous fitting curve, and outputting an identification result; and generating synchronous early warning information according to the identification result. The invention solves the technical problems that potential safety hazards 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 carrying out synchronous early warning on 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, a plurality of policies supporting the development of new energy automobiles are continuously issued in China, and the new energy automobile industry is promoted to the important point supporting the development of government industry. Based on the current situation that natural resources in China are rich in coal, poor in oil and gas and the crude oil has high external dependence, and the requirement for reducing carbon emission, the research on the related technology of new energy automobiles is of great significance for promoting green development of the automobile industry in China.
At present, the power battery is used as a main power source of the new energy automobile, and the safety of the power battery is an essential factor for the safety guarantee of the new energy automobile. And the life, performance and safety of the power battery are directly affected by the temperature. However, the safety of the discharge process of the power battery is often the result that the reason is discovered after the power battery fails to be checked, the safety hazard cannot be synchronously pre-warned, the safety of the power battery cannot be guaranteed, and even a safety accident is caused. The technical problems that potential safety hazards in the discharging process of a power battery cannot be found in time and the feedback time is long exist in the prior art.
Disclosure of Invention
The application provides a discharge safety synchronous early warning method and system for 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 discharge safety synchronization early warning method and system for a power battery.
In a first aspect of the application, a discharge safety synchronization early warning method for a power battery is provided, where the method is applied to a discharge safety synchronization early warning system for the power battery, the discharge safety synchronization early warning system is in communication connection with a battery thermal management system, and the method includes:
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 separator element, and battery structural element;
discharging test data are output by performing a discharging test on the target power battery;
analyzing the battery heat in the discharge test process according to the battery thermal management system to obtain heat change data;
performing curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve;
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 of which the safety deviation degree is greater than a preset safety deviation degree;
and generating synchronous early warning information according to the identification result.
In a second aspect of the present application, a discharge safety synchronization early warning system for a power battery is provided, the system includes:
the battery pack obtaining module is used for obtaining battery pack information of a target power battery, wherein the battery pack information comprises a battery pole piece element, a battery diaphragm element and a battery structure element;
a thermal management zone configuration module 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 is used for outputting discharging test data through a discharging test on the target power battery;
the heat change data acquisition module is used for analyzing the battery heat in the discharge test process according to the battery thermal 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 identifying the safety deviation degree according to the synchronous fitting curve and outputting an identification result, wherein the identification result is a test result of which the safety deviation degree is 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 solutions provided in the present application have at least the following technical effects or advantages:
the battery pack information of the target power battery is obtained, wherein the battery pack information comprises a battery pole piece element, a battery diaphragm element and a battery structure 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 structure element, further, the target power battery is subjected to discharge test, discharge test data is output, then, the battery heat in the discharge test process is analyzed according to the battery thermal management system, heat change data is obtained, 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 identification is carried out according to the synchronous fitting curve, an identification result is output, the identification result is a test result that the safety deviation is larger than a preset safety deviation, and then, 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 in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a discharge safety synchronization early warning method for a power battery according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating curve synchronization fitting performed in a discharge safety synchronization early warning method for a power battery according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart illustrating an output identification result in a discharge safety synchronization early warning method for a power battery according to an embodiment of the present disclosure;
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.
Description of the reference numerals: the system comprises a battery pack 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, an identification result output module 16 and a synchronous early warning information generating module 17.
Detailed Description
The application provides a safe and synchronous early warning method for discharging of a power battery, and aims to solve the technical problems that potential safety hazards in the discharging 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 drawings in the embodiments of the present application. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above 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 application described herein are capable of operation in sequences other than those illustrated or 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 one
As shown in fig. 1, the present application provides a discharge safety synchronization early warning method for a power battery, where the method is applied to a discharge safety synchronization early warning system for a power battery, the discharge safety synchronization early warning system is in communication connection with a battery thermal management system, and the method includes:
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 separator element, and battery structural element;
specifically, the target power battery is any power battery which needs to perform safety early warning analysis in the discharging process of the power battery, and the types of the power battery comprise a lithium iron phosphate battery and a ternary lithium battery. The battery thermal management system is a management system which can enable a target power battery to always keep working in a proper temperature range, and comprises air cooling, liquid cooling, thermoelectric cooling, heat pipe cooling and phase change material thermal management. The battery pack information is a component constituting the target power battery and comprises a battery pole piece element, a battery diaphragm element and a battery structure element. The battery pole piece element comprises a positive electrode, a negative electrode, electrolyte and the like, wherein the active substance of the positive electrode is cobalt lithium oxide, and the active substance 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 needing to be subjected to thermal management 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 structure element in the target power battery, and because the service life of the power battery is directly influenced by overhigh or overlow temperature in the operation process of the power battery, the thermal management area is determined to provide a reliable management object for accurate measurement and monitoring of the battery temperature in the follow-up process.
Step S300: discharging test data are output by performing a discharging test on the target power battery;
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 Sense 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 the discharging process is detected and recorded to perform discharging test on the target power battery, so that the discharging test data are obtained. The discharge test data are parameters of the power battery which change in the discharge process, and include capacity, charge state, working voltage, discharge cut-off voltage, temperature and the like. The capacity is the total discharged electric quantity of 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 working voltage is the voltage between two poles of the battery after the external loop is switched on. The discharge cut-off voltage refers to the lowest voltage of the power battery allowed in the discharge process. By summarizing and recording the discharge test data, the technical effect of providing analysis data for the subsequent analysis of the discharge process is achieved.
Step S400: analyzing the battery heat in the discharge test process according to the battery thermal management system to obtain heat change data;
specifically, the heat change condition of the heat management area of the power battery in the discharging test process is analyzed through a battery heat management system, the heat data are arranged according to the time sequence of the discharging process, the heat change trend in the discharging process is obtained, and therefore the heat change data are obtained. The heat change data is data reflecting the heat change condition of the battery in the discharging process and comprises heat production quantity change data and heat production power change data, and the heat change data is provided with time identification. Therefore, the heat data corresponding to each time point of the battery in the discharging process is accurately searched. The heat generation quantity change data is data of the change of the heat generated by the power battery in the discharging process along with the time. The heat-generating power variation data is data of the heat-generating power of the power battery changing with time.
Step S500: performing curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve;
further, as shown in fig. 2, step S500 in 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 the heat change data of one element is stored in each thermal management area;
step S520: performing element abnormity identification according to the heat change data to obtain abnormal change data;
step S530: taking the abnormal change data as an identification node to carry out curve interception so as 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 performing curve interception by using the abnormal change data as an identification node and generating a heat interception curve, step S530 in 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 intercepted 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 to obtain the synchronous fitting curve. The synchronous fitting curve is a curve obtained by fitting the ordinate with time as an abscissa and discharge test data and heat change data as an ordinate, and reflects the synchronous condition of the discharge test data and the heat change data along with the change of time.
Specifically, the heat change data includes a plurality of thermal management areas, that is, in the discharge test process, the heat change data of each thermal management area is monitored and recorded by the battery thermal management system. One element for each thermal management zone. And constructing a heat change curve by taking time as an abscissa according to the heat change data, calculating the slope of the curve corresponding to each time point, and when the slope exceeds a preset slope threshold, indicating that the heat change exceeds an acceptable range, wherein the element is abnormal at the moment, and taking the data corresponding to the abnormality as abnormal change data. The preset slope threshold is set by a worker, and is not limited herein. And then, taking the abnormal change data as an identification node, and intercepting heat change curves in the two identification nodes so as to obtain the heat interception curve, wherein the heat interception curve is a curve corresponding to abnormal heat change. And performing curve synchronous fitting by using the heat interception curve as a first curve to be fitted so as to lay a cushion for analyzing the reason of abnormal generation.
Specifically, time sequence information, phase information and spectrum information of the heat interception curve are acquired, wherein the time sequence information is time point information corresponding to the curve. The phase information is phase information in a corresponding one of the cycles in the heat intercept curve. The spectrum information is the 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 interception curve is constructed by taking time as an abscissa and discharge test data as an ordinate, and the heat interception curve and the discharge interception curve are in one-to-one correspondence, so that the accuracy of fitting operation is guaranteed. And taking the discharge intercepted 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 in 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 the N abnormal elements;
step S570: generating N corresponding discharge interception curves according to the N heat interception 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 in this embodiment of the present application further includes:
step S581: performing fitting mean square error calculation on the N synchronous fitting curves to obtain a fitting error coefficient;
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, a return instruction is obtained;
step S584: and according to the return instruction, fitting and optimizing by taking the error coefficient difference value as a feedback adaptive variable, and outputting N optimized fitting curves.
Specifically, by using the correspondence between the abnormal change data and the elements, since the abnormal change data is obtained from heat change data including a plurality of thermal management areas, and the heat change data of one element is stored in each thermal management area, N corresponding abnormal elements can be obtained from the abnormal change data. Wherein, the N abnormal elements are elements of the target power battery pack with abnormality 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 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, the fitting result is subjected to parameter estimation on the N synchronous fitting curves according to the synchronous condition of normal operation to obtain a parameter estimation value, then an actual parameter true value is obtained according to the N synchronous fitting curves, and the actual parameter true value is taken as a fitting error coefficient by calculating an expected value of the square of the difference between the parameter estimation value and the parameter true value. Wherein, the fitting error coefficient can reflect the change degree of fitting, and the smaller the fitting error coefficient, the better. 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, the fitting error is larger at the moment, and a return instruction is obtained. The return instruction is a command for returning to the previous operation and synchronously fitting the curve. And optimizing the synchronous fitting process by taking the error coefficient difference as a feedback adaptive variable, namely the error to be eliminated as a target to obtain the N optimized fitting curves. And the N optimized fitting curves are fitting curves which meet the requirements after errors are reduced.
Step S600: 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 of which the safety deviation degree is greater than a preset safety deviation degree;
further, as shown in fig. 3, performing safety deviation identification according to the synchronous fitting curve, and outputting an identification result, step S600 in 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 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 performing risk assignment according to the deviation grade, outputting an out-of-control risk index, and outputting the out-of-control risk index as the identification result.
Further, performing risk assignment according to the deviation grade, and outputting an out-of-control risk index, where step S630 in this embodiment of the present application further includes:
step S631: generating assignment weights including a pole piece weight, a diaphragm weight and a structural weight according to the pole piece element type, the battery diaphragm element and the battery structural element, wherein the pole piece weight is greater than the diaphragm weight and is greater than the structural weight;
step S632: and 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.
Specifically, the identification result is a test result in which deviation points on the synchronous fitting curve are subjected to deviation identification and the safety deviation degree is greater than a preset safety deviation degree. The set of fitted outliers is a set of coordinate points that are not on the synchronous fit curve. Optionally, the deviation degree is calculated according to the number of the deviation points in the fitting deviation point set, and the larger the number is, the stronger the insulativity of the fitting is, and at this time, an abnormality occurs. Optionally, the longitudinal deviation value and the lateral deviation value are weighted according to the weight of 1. Obtaining a corresponding deviation grade according to the deviation degree, wherein the deviation grade is obtained by grading the deviation degree of the curve fitting point, optionally including grade A, grade B and grade C, and the grade corresponding to the grade A is the highest and the abnormality is most obvious. The deviation degree corresponding to each deviation grade is set by the staff, and is not limited herein. And performing risk assignment according to the deviation grade to obtain an out-of-control risk index, and outputting the out-of-control risk index as the identification result. Wherein the runaway risk index is an index describing the degree of influence of runaway occurring in the discharging process of the power battery.
Specifically, an assignment weight is generated according to the type of the pole piece element, the battery diaphragm element and the battery structural element, optionally, weight distribution is performed according to the importance degree of the element to the battery, so as to obtain a pole piece weight, a diaphragm weight and a structural weight, and the pole piece weight is greater than the diaphragm weight and greater than the structural weight. And performing corresponding risk assignment on the pole piece weight, the diaphragm weight and the structural weight according to the curve type, namely the type of the fitted thermal management area.
Step S700: and generating synchronous early warning information according to the identification result.
Specifically, according to an out-of-control risk index in an identification result, a safety risk generated by a target power battery in a discharging process is obtained, an early warning source is obtained by combining the safety risk with a curve type in a corresponding synchronous fitting curve, the safety risk and the early warning source are used as synchronous early warning information and sent to a worker, and risk early warning is carried out on the worker. The synchronous early warning information is information for reminding real-time risks of the power battery in the discharging test process.
In summary, the embodiment of the present application has at least the following technical effects:
according to the embodiment of the application, the battery pack information of a target power battery is obtained, information collection is carried out on the constituent elements of the power battery, the purpose of providing basis for subsequent analysis of abnormal elements is achieved, then a thermal management area for battery thermal management is obtained based on the positions of a battery pole piece element, a battery diaphragm element and a battery structural element, discharge test is carried out on the target power battery through a thermocouple patch, data generated in the discharge test process are obtained, the purpose of providing analysis data for analysis of discharge safety is achieved, then battery heat in the discharge test process is analyzed according to a battery thermal management system, the condition that heat changes along with time is obtained, curve synchronous fitting is carried out according to the discharge test data and the heat change data, safety deviation identification is carried out on a synchronous fitting curve, an identification result is output, the identification result is a test result that the safety deviation is larger than a preset safety deviation, and 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 synchronous early warning method of the power battery in the foregoing embodiment, as shown in fig. 4, the present application provides a discharge safety synchronous early warning system of the 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:
the battery pack obtaining module 11 is used for obtaining battery pack information of a target power battery, wherein the battery pack information comprises a battery pole piece element, a battery diaphragm element and a battery structure 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 elements, battery separator elements, and battery structural elements;
a discharge test data obtaining module 13, where the discharge test data obtaining module 13 is configured to output discharge test data by performing a discharge test on the target power battery;
the heat change data obtaining module 14 is configured to analyze the battery heat in the discharge test process according to the battery thermal management system to obtain heat change data;
a fitting curve generating module 15, wherein the fitting curve generating module 15 is configured to perform curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve;
the recognition result output module 16 is configured to perform safety deviation recognition according to the synchronous fitting curve, and output a recognition result, where the recognition result is a test result in which the safety deviation is greater than a preset safety deviation;
and the synchronous early warning information generating module 17 is configured to generate synchronous early warning information according to the identification result.
Further, the system further comprises:
a variation data obtaining unit, configured to obtain the heat variation data, where the heat variation data includes multiple thermal management areas, and heat variation data of one element is stored in each thermal management area;
an abnormal change data obtaining unit, configured to perform element abnormality identification according to the heat change data, and obtain abnormal change data;
an intercepted curve generating unit, which is used for carrying out curve interception by taking the abnormal change data as an identification node to generate a heat intercepted curve;
and the curve synchronous fitting unit is used for performing curve synchronous fitting by taking the heat interception curve as a first curve to be fitted.
Further, the system further comprises:
a time sequence information obtaining unit, configured to obtain time sequence information, phase information, and spectrum information of the heat interception curve;
the discharge interception curve generation unit is used for carrying out 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 intercepted curve as a second curve to be fitted and carrying out curve synchronous fitting with the first curve to be fitted to generate the synchronous fitting curve.
Further, the system further comprises:
n abnormal component obtaining units for obtaining N abnormal components according to the abnormal change data;
n intercepted curve obtaining units, wherein the N intercepted curve obtaining units are used for outputting N heat intercepted 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:
a fitting error coefficient obtaining unit, configured to perform fitting mean square error calculation on the N synchronous fitting curves to obtain a fitting error coefficient;
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;
a return instruction obtaining unit, configured to obtain a return instruction if the fitting error coefficient is greater than the preset fitting error coefficient;
and the N optimized fitting curve output units are used for performing fitting optimization by taking the error coefficient difference value as a feedback adaptive variable according to the return instruction and outputting N optimized fitting curves.
Further, the system further comprises:
a fitting deviation point obtaining unit, configured to obtain a fitting deviation point set, where the fitting deviation point set is a coordinate point set that is not on the synchronous fitting curve;
a deviation grade obtaining unit, configured to perform deviation degree calculation 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 an out-of-control risk index and outputting the out-of-control risk index as the identification result.
Further, the system further comprises:
an assignment weight generating unit, wherein the assignment weight generating unit is used for generating assignment weights according to the types of the pole piece elements, the battery diaphragm elements and the battery structural elements, the assignment weights comprise pole piece weights, diaphragm weights and structural weights, and the pole piece weights are greater than the diaphragm weights and greater 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 order of the above embodiments of the present application is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. 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 may also be possible or may be advantageous.
The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.
The specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. A discharge safety synchronous early warning method of a power battery is characterized in that the method is applied to a discharge safety synchronous early warning system of the power battery, the discharge safety synchronous 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 separator element, and battery structural element;
discharging test data are output by performing a discharging test on the target power battery;
analyzing the battery heat in the discharge test process according to the battery thermal management system to obtain heat change data;
performing curve synchronous fitting on the discharge test data and the heat change data to generate a synchronous fitting curve;
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 of which the safety deviation degree is greater than a preset safety deviation degree;
and generating synchronous early warning information according to the identification result.
2. The method of claim 1, wherein the method further comprises:
acquiring the heat change data, wherein the heat change data comprises a plurality of thermal management areas, and the heat change data of one element is stored in each thermal management area;
performing element abnormity identification according to the heat change data to obtain abnormal change data;
taking the abnormal change data as an identification node to carry out curve interception so as to generate a heat interception curve;
and taking the heat interception curve as a first curve to be fitted to perform curve synchronous fitting.
3. The method of claim 2, wherein after performing a curve intercept with the anomalous change data as an identified node and generating a heat intercept 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 and the discharge interception curve are in one-to-one correspondence;
and taking the discharge intercepted 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.
4. The method of claim 2, wherein the method further comprises:
obtaining N abnormal elements according to the abnormal change data;
outputting N heat interception curves by the N abnormal elements;
generating N corresponding discharge interception curves according to the N heat interception curves;
and obtaining N synchronous fitting curves based on the N heat interception curves and the N discharge interception curves.
5. The method of claim 4, wherein the method further comprises:
performing fitting mean square error calculation on the N synchronous fitting curves to obtain a fitting error coefficient;
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, a return instruction is obtained;
and according to the return instruction, fitting and optimizing by taking the error coefficient difference value as a feedback adaptive variable, and outputting N optimized fitting curves.
6. The method of claim 1, wherein the safety deviation identification is performed according to the synchronous 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 on the synchronous fitting curve;
calculating the deviation degree according to the fitting deviation point set to obtain a deviation grade;
and performing risk assignment according to the deviation grade, outputting an out-of-control risk index, and outputting the out-of-control risk index as the identification result.
7. The method of claim 6, wherein a risk assignment is made at the deviation level to output an out-of-control risk index, the method further comprising:
generating assignment weights including a pole piece weight, a diaphragm weight and a structural weight according to the pole piece element type, the battery diaphragm element and the battery structural element, wherein the pole piece weight is greater than the diaphragm weight and is greater than the structural weight;
and performing corresponding risk assignment according to the pole piece weight, the diaphragm weight and the structural weight by identifying the curve type in the synchronous fitting curve.
8. The utility model provides a synchronous early warning system of power battery's discharge safety which characterized in that, the system includes:
the battery pack obtaining module is used for obtaining battery pack information of a target power battery, wherein the battery pack information comprises a battery pole piece element, a battery diaphragm element and a battery structure element;
a thermal management zone configuration module to configure a thermal management zone in the battery thermal management system based on the battery pole piece element, battery separator element, and battery structural element;
the discharging test data obtaining module is used for outputting discharging test data through a discharging test on the target power battery;
the heat change data acquisition module is used for analyzing the battery heat in the discharge test process according to the battery thermal 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 identifying the safety deviation degree according to the synchronous fitting curve and outputting an identification result, wherein the identification result is a test result of which the safety deviation degree is 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.
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