CN111983470B - Lithium ion power battery safety degree evaluation method and device based on correlation dimension - Google Patents
Lithium ion power battery safety degree evaluation method and device based on correlation dimension Download PDFInfo
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- CN111983470B CN111983470B CN202010857331.2A CN202010857331A CN111983470B CN 111983470 B CN111983470 B CN 111983470B CN 202010857331 A CN202010857331 A CN 202010857331A CN 111983470 B CN111983470 B CN 111983470B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
Abstract
The invention discloses a battery safety degree estimation method and device based on correlation dimensions, and belongs to the technical field of power battery safety degree estimation. The invention aims to solve the problem that the safety of a power battery cannot be quantitatively expressed and evaluated in the prior art. The correlation dimension of the invention package comprises a reason sequence causing the change of the battery safety state, and the invention calculates the correlation dimension of the change of the safety state and the safety dimension of the historical normal data; then calculating the correlation dimension of the existing battery data; comparing the correlation dimension of the reason sequence of the change of the safety state with the correlation dimension of historical data to obtain a safety deviation degree serving as a battery safety characteristic parameter; constructing a battery safety membership function; and obtaining the SOS by utilizing probability average weighting. According to the method, the SOS of the safety degree value of the power battery is calculated in real time through historical data and actual existing data of the battery and by combining the correlation dimension and the safety deviation degree model.
Description
Technical Field
The invention relates to the field of battery safety degree evaluation, in particular to a lithium ion power battery safety degree evaluation method and device based on a correlation dimension.
Background
With the increasingly rapid commercialization pace of electric vehicles in the global market, the demand for high-power and high-energy power batteries is rapidly increasing, and the safety of the batteries is receiving more and more attention. Particularly, in recent years, news about accidents such as spontaneous combustion and explosion of lithium batteries occurs, and the safety of lithium batteries is increasingly emphasized. At present, lithium batteries in China are still in the initial stage of technical research and development, and still have many problems in the aspect of safety.
Electric vehicles are in a new stage of rapid development in China, and the development of electric vehicles drives the development of the power battery industry. However, in recent years, accidents such as spontaneous combustion and explosion of batteries frequently occur, and people pay more attention to the safety of a battery system of a new energy automobile. Once the battery reaches certain critical conditions, such as overvoltage, over-temperature and low service life, if corresponding safety precautions are not taken in time, thermal runaway of the battery can lead to safety accidents. How to accurately and quantitatively estimate the safety of the battery in real time is a bottleneck problem existing in the design process of the lithium ion power battery pack.
Disclosure of Invention
In order to solve the problems, the invention provides a lithium ion power battery safety degree evaluation method based on a correlation dimension according to the probability of critical faults of the lithium ion power battery in the using process.
A lithium ion power battery safety degree evaluation method based on correlation dimension comprises the following steps:
determining the time sequence of the change reason of the battery safety state and determining the time sequence of the historical normal state of the battery;
calculating the correlation dimension of the change reason of the safety state of the battery to be detected and the correlation dimension of the normal state of the battery, and further obtaining a time curve of the correlation dimension when the safety state of the battery changes and a time curve of the correlation dimension when the battery is in the normal state;
comparing the time curve of the associated dimension when the battery safety state changes with the time curve of the associated dimension when the battery is in a normal state to obtain the curve deviation degree of the change reason of the battery safety state;
according to the curve deviation degree of the change reason of the battery safety state, obtaining the battery safety degree through weighting operation;
and outputting the safety degree value of the battery and the reason of the safe state of the battery under the safety degree value.
Further, the causes of the change of the battery safety state include battery voltage abnormality, battery current abnormality and battery surface temperature abnormality, and the voltage abnormality time series, the battery current abnormality time series and the battery surface temperature abnormality time series are respectively defined as a voltage abnormality parent series, a current abnormality parent series and a surface temperature abnormality parent series.
Further, the causes of the battery voltage abnormality, the battery current abnormality and the battery surface temperature abnormality include impact of a needle-punching extrusion weight, excessive pressure, electrolyte leakage and charge abnormality, the impact of the needle-punching extrusion weight, the excessive pressure, the electrolyte leakage and the charge abnormality are defined as subsequences, and the subsequences are divided under the father sequence.
Further, the method for acquiring the time series of the reasons for the change of the battery safety state comprises the following steps:
respectively sampling the voltage abnormal father sequence, the current abnormal father sequence and the surface temperature abnormal father sequence at equidistant intervals to obtain a time sequence { X }U}、{XIAnd { X }T}；
Reconstructing a phase space by using a delay coordinate method to obtain a new sequence { YU}、{YIAnd { Y }T}。
Further, the correlation dimension of the reason for the change of the battery safety state comprises a voltage correlation dimension DUCurrent correlation dimension DIAnd
temperature correlation dimension DT；
The voltage correlation dimension DUObtained by the following formula:
wherein, C (r)U) For the associated integral of the new voltage anomaly parent sequence, rUPhase space sphere radius for the new voltage anomaly parent sequence;
the current correlation dimension DIObtained by the following formula:
wherein, C (r)I) For the associated integration of the new current anomaly parent sequence,rIthe phase space sphere radius of the new current anomaly parent sequence;
the temperature correlation dimension DTObtained by the following formula:
wherein, C (r)T) Associated integral for new parent sequence of temperature anomaly, rTThe phase space sphere radius of the new parent sequence of temperature anomalies.
Further, the associated integral C (r) of the new voltage anomaly parent sequenceU) New correlation integral C (r) of current anomaly parent sequenceI) Associated integral C (r) with new parent sequence of temperature anomalyT) Are obtained by the following formulas:
Further, the battery safety degree SOS is:
wherein x is1、x2And x3Respectively, the voltage curve deviation, the current curve deviation and the temperature curve deviation omega1、ω2And ω3Respectively a voltage weight coefficient, a current weight coefficient and a temperature weight coefficient.
Furthermore, the lithium ion power battery safety degree evaluation method based on the correlation dimension comprises the steps of dividing the safety degree value, establishing a safety degree comparison table, wherein the safety degree comparison table is composed of a plurality of safety intervals, and the safety intervals correspond to the battery safety condition at the current moment; and matching the obtained safety degree value with the safety interval to obtain the battery safety condition at the current moment. .
The invention provides a lithium ion power battery safety degree evaluation device based on the correlation dimension, which comprises:
an estimation module, which is used for estimating the safety degree of the current state of the battery according to the lithium ion power battery safety degree estimation method based on the correlation dimension as claimed in any of claims 1-8;
and the display module is used for displaying the safety degree information of the battery in the current state.
Furthermore, the lithium ion power battery safety degree evaluation device based on the correlation dimension comprises an interval matching module used for establishing a safety degree comparison table, wherein the safety degree comparison table is composed of a plurality of safety intervals, and the safety intervals correspond to the battery safety conditions at the current moment; and matching the safety degree value obtained by the estimation module with the safety interval to obtain the battery safety condition at the current moment.
As described above, the lithium ion power battery safety degree evaluation method based on the correlation dimension model provided by the invention has the following effects:
1. the invention realizes real-time quantitative evaluation and output of the safety degree of the battery, is applied to the evaluation of the safety degree of various batteries in various states, solves the technical bottleneck problem that the safety of the battery cannot be pre-warned in real time in the prior art, and provides an effective index for judging the safety of the battery.
2. The correlation integral and the correlation dimension under the normal state of the invention can be obtained through expert knowledge and data in a battery management system, and the correlation integral and the correlation dimension under the normal state and the abnormal state of the battery are continuously corrected by combining actual working condition data, thereby increasing the evaluation reliability.
3. The invention adopts the correlation dimension and the safety deviation degree algorithm of the most important factors causing the battery state change, thereby reducing the estimation error.
4. The method is suitable for estimating the safety degree of various batteries, and has wide applicability, easy realization of hardware circuits and more application occasions.
Drawings
Fig. 1 is a flow chart of evaluating safety of a lithium ion power battery according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating the division of a parent sequence and a child sequence according to an embodiment of the present invention;
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
When the battery is burnt or exploded, the destructive power is large, the action can rapidly cause great loss to personnel and property, and the safety of the battery specified by the existing battery standard means that the battery does not burn, explode, produce toxic and harmful gases and do not hurt users in the use process;
the lithium ion power battery safety degree evaluation method based on the correlation dimension of the embodiment refers to quantitatively describing the safety degree of the battery in the using process, namely the safety degree of the battery; as shown in fig. 1, the method comprises the following steps:
s1, determining the time sequence of the change reason of the battery safety state and determining the time sequence of the historical normal state of the battery;
the lithium ion power battery can be a ternary material lithium ion battery, a lithium iron phosphate battery and a lithium cobalt oxide battery, and the shape of the lithium ion power battery can be square, cylindrical, soft-package square or plastic-shell square.
The time series of the correlation dimension G-P algorithm described in this embodiment is extracted based on unconventional changes of important parameter values of the battery caused by unconventional fault reasons, and can be divided into three series, namely direct measurement, indirect measurement and unknown quantity. The directly measurable sequence mainly comprises the impact of needling extrusion heavy objects, overhigh voltage, overlarge current, overlarge pressure, electrolyte leakage and overhigh surface temperature; the indirect measurement sequence mainly comprises the charge quantity and the overlarge internal resistance of the battery; the unknown quantity refers to other factors causing the battery to malfunction after the reasons are removed, and a specific battery safety degree sequence set is shown in table 1 and fig. 2.
TABLE 1 Battery safety degree sequence set
In the embodiment, the battery voltage abnormality, the battery current abnormality and the battery surface temperature abnormality are taken as internal causes of the battery safety state change, the causes of the battery safety degree change are classified into a father sequence, namely a voltage abnormality time sequence, a battery current abnormality time sequence and a battery surface temperature abnormality time sequence are respectively defined as a voltage abnormality father sequence, a current abnormality father sequence and a surface temperature abnormality father sequence, the changes of the battery caused by the internal and external influences are classified into a subsequence, namely the battery is subjected to the impact of a pricking and squeezing heavy object, the pressure is too high, the electrolyte leakage and the charge quantity abnormality are defined as subsequences, and the subsequences are divided under the father sequence.
In the actual safety degree estimation process, the sub-sequence is not fixed, but the related method in the prior art is combined with historical data to update and correct, and the updating and correcting method can be directly completed through data association statistics or can be realized by adopting the existing related classification algorithm.
The method for acquiring the time sequence of the reason for the change of the battery safety state comprises the following steps:
s11, sampling the voltage abnormal father sequence, the abnormal father sequence and the surface temperature abnormal father sequence respectively at equidistant intervals to obtain a time sequence { X }U}、{XIAnd { X }T}；
S12, reconstructing a phase space by using a delay coordinate method to obtain a new sequence { YU}、{YIAnd { Y }T}. The theory considers that any delay time value can be taken when a one-dimensional time sequence without noise and with infinite length is reconstructed, however, in practice, general time sequences all contain noise and have finite length, and therefore, in order to extract feature quantities of a phase space, appropriate values must be selected, various time delay value selection methods are available, and in the embodiment, an autocorrelation function method is used for selection, and a first zero point of an autocorrelation function is used as a delay time value.
S2, calculating the correlation dimension of the change reason of the battery safety state to be detected and the correlation dimension of the battery normal state, and further obtaining a time curve of the correlation dimension when the battery safety state changes and a time curve of the correlation dimension when the battery normal state;
the time curve of each sequence correlation dimension in the normal state of the battery is obtained according to historical data in a battery management system and by combining expert experience analysis; the method for acquiring the correlation dimension of the change reason of the safety state of the battery to be tested comprises the following steps:
s21, calculating the correlation integral C (r) of the new voltage abnormity father sequence according to the following formulaU) New correlated integral of current anomaly parent sequence C (r)I) Associated integral C (r) with new parent sequence of temperature anomalyT)：
Wherein N is the length of the time series.
S22, respectively calculating the voltage correlation dimension DUCurrent correlation dimension DIAnd the temperature correlation dimension DT；
The voltage correlation dimension DUObtained by the following formula:
wherein, C (r)U) For the associated integral of the new voltage anomaly parent sequence, rUPhase space sphere radius for the new voltage anomaly parent sequence;
the current correlation dimension DIObtained by the following formula:
wherein, C (r)I) For the associated integral of the new current anomaly parent sequence, rIPhase space sphere radius for the new current anomaly parent sequence;
the temperature correlation dimension DTObtained by the following formula:
wherein, C (r)T) Associated integral for new parent sequence of temperature anomaly, rTThe phase space sphere radius of the new parent sequence of temperature anomalies.
S3, comparing the time curve of the associated dimension when the battery safety state changes with the time curve of the associated dimension when the battery is in a normal state to obtain the curve deviation degree of the change reason of the battery safety state;
fitting the correlation dimension of real-time voltage, current and surface temperature calculated in a period of time into a function curve, comparing with the correlation dimension function curve of the voltage, current and surface temperature in the normal state of the battery, defining the deviation degree with the size of 0-1 according to the superposition and the approaching degree of the function curve, and specifically quantifying the deviation degree by utilizing parameters such as the slope and the deviation of the function curve. 0 represents that the two types of curves are completely overlapped, 1 represents that the two types of curves are completely not overlapped and have no point of coincidence, and the deviation degrees of the three types of father sequences respectively account for 1/3 of fault causes, so that the total deviation degree of the real-time correlation dimension and the correlation dimension in a normal state can be calculated by a weighted addition mode.
Setting the deviation degree of the parent sequence voltage, current and surface temperature as x1、x2And x3The father sequence corresponding to the maximum value measured in the battery management system is the main factor influencing the battery safety, and the deviation degree of the next subsequence is researched, so that the main factor influencing the battery safety can be obtained.
S4, obtaining the battery safety degree through weighting calculation according to the curve deviation degree of the change reason of the battery safety state;
the battery safety SOS is as follows:
wherein x is1、x2And x3Respectively, the voltage curve deviation, the current curve deviation and the temperature curve deviation omega1、ω2And ω3The voltage weight coefficient, the current weight coefficient and the temperature weight coefficient are respectively the voltage weight coefficient, the current weight coefficient and the temperature weight coefficient, and the three parameters are equally important in the embodiment, so the voltage weight coefficient, the current weight coefficient and the temperature weight coefficient in the embodiment are all 1, and the voltage weight coefficient, the current weight coefficient and the temperature weight coefficient have expert experience and are confirmed by historical data of a battery management systemAnd the correction can be continuously updated and updated along with the continuous iteration of the working condition data.
And S5, outputting the safety degree value of the battery and the reason of the safe state of the battery under the safety degree value.
When the safety degree of the power battery is evaluated by using the patent principle, the correlation dimension of real-time change of relevant reasons is substituted, then the battery safety degree function is calculated, when multiple fault factors exist simultaneously, the main reason and the secondary reason can also be judged according to the deviation degree, then the weighting calculation method of the main factor projection method is used, the relevant expert experience is combined, the factors are comprehensively analyzed to obtain the overall probability of reduction of the safety degree of the battery, the safety state of the battery is displayed according to the reuse formula and the data of the corresponding table of the safety degree of the battery, and the current safety state of the battery can be prompted to a user.
S6, establishing a safety degree comparison table, wherein the safety degree comparison table is composed of a plurality of safety intervals, and the safety intervals correspond to the battery safety conditions at the current moment; and matching the obtained safety degree value with the safety interval to obtain the battery safety condition at the current moment. .
In this embodiment, the safety degree of the battery is divided into 5 intervals, which respectively represent the safety degree of the battery in the current state, and specifically, as shown in table 2, the safety degree percentages under different safety levels are detailed in the table. In the lithium ion power battery safety evaluation method based on the correlation dimension G-P algorithm, in a table, a first column is a safety numerical value of a battery; the second column is the safety degree of the battery, and the closer the safety degree is to 1, the safer the battery is; the closer the safety degree is to 0, the greater the probability of a safety accident occurring in the battery.
As shown in Table 2, when the safety value of the battery was in the range of [0.8,1], it was revealed that the shape of the battery was good at this time, can be used continuously, when the safety degree value of the battery is in the range of [0.6,0.8), the battery state is general at the moment, and needs to be slightly noticed by a user, when the safety degree value of the battery is in the range of [0.4, 0.6), indicating that the battery is potentially dangerous, the user needs to pay more attention during the use process, when the safety degree value of the battery is in the range of [0.2, 0.4), the battery reaches the dangerous degree, the use is stopped and the battery is replaced, when the safety degree value of the battery is in the range of [0,0.2), the surface battery reaches a serious danger degree, which indicates that a burning explosion condition occurs or the battery is easy to cause burning and explosion, and at the moment, the battery is disassembled and properly transferred by adopting an emergency treatment mode according to actual needs.
TABLE 2 Battery safety degree corresponding table
The invention integrates the probability of various common fault reasons of the battery, obtains the percentage of the safe state of the battery through the correlation dimension G-P algorithm and the calculation of the safety membership degree, and through the safety degree, a user can timely know the safe state of the lithium ion power battery, timely make own judgment and reduce and avoid unnecessary battery harm.
The lithium ion power battery safety degree evaluation device based on the correlation dimension of the embodiment comprises:
an estimation module, which is used for estimating the safety degree of the current state of the battery according to the lithium ion power battery safety degree estimation method based on the correlation dimension as claimed in any of claims 1-8;
the interval matching module is used for establishing a safety degree comparison table, the safety degree comparison table is composed of a plurality of safety intervals, and the safety intervals correspond to the battery safety conditions at the current moment; and matching the safety degree value obtained by the estimation module with the safety interval to obtain the battery safety condition at the current moment.
The display module is used for displaying the safety degree information of the battery in the current state; the display module shown can be implemented using existing display devices.
The estimation module and the interval matching module can be integrated in an electronic device, and specifically comprise a processor and a memory, wherein the memory stores a battery safety degree estimation method and an interval matching instruction in the embodiment, and the processor is used for calling the instruction to execute the battery safety degree estimation method and the interval matching instruction in the embodiment of the invention; the estimation module and the interval matching module may be two electronic devices, each of the two electronic devices includes a processor and a memory, a battery safety degree estimation method instruction in an embodiment is stored in the memory of the electronic device of the estimation module, the processor is configured to call the instruction to execute the battery safety degree estimation method instruction in the embodiment of the present invention, a safety degree interval matching instruction in the embodiment is stored in the memory of the electronic device of the interval matching module, and the processor is configured to call the instruction to execute the safety degree interval matching instruction in the embodiment of the present invention.
The instructions in the memory may be implemented in the form of software functional units and stored in a computer readable storage medium when being sold or used as a stand-alone product, that is, a part of the technical solution of the present invention or a part of the technical solution that contributes to the prior art in nature may be embodied in the form of a software product stored in a storage medium, and include instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
In practical application, the processor can be an MSP430 single chip microcomputer, a 51 single chip microcomputer, a DSP, a TMS single chip microcomputer, an STM32 single chip microcomputer, a PIC single chip microcomputer, an AVR single chip microcomputer, an STC single chip microcomputer, a Freescale series single chip microcomputer and the like, and the single chip microcomputer can be connected with a charging and discharging source in a serial port or bus mode.
The above is a brief description of the implementation process of the present invention, and the main purpose is to briefly introduce the application meaning of the present invention. Secondly, the safety membership function of the invention is not fixed and has a plurality of proposed methods, and the specific situation is discussed in detail. The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Those skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which may be made by those skilled in the art without departing from the spirit and scope of the present invention as defined in the appended claims.
Claims (8)
1. A lithium ion power battery safety degree evaluation method based on correlation dimension is characterized by comprising the following steps:
determining a time sequence of causes of the change of the safety state of the battery and determining a time sequence of historical normal states of the battery;
calculating the correlation dimension of the change reason of the safety state of the battery to be tested and the correlation dimension of the normal state of the battery, and further obtaining a time curve of the correlation dimension when the safety state of the battery changes and a time curve of the correlation dimension when the battery is in the normal state, wherein the method specifically comprises the following steps:
respectively calculating the associated integral C (r) of the new voltage abnormality parent sequence according to the following formulaU) New correlated integral of current anomaly parent sequence C (r)I) Associated integral C (r) with new parent sequence of temperature anomalyT)：
Wherein N is the length of the time series;
respectively calculating the dimension D including voltage correlationUCurrent correlation dimension DIAnd the temperature correlation dimension DT；
The voltage correlation dimension DUComprises the following steps:
wherein r isUPhase space sphere radius of the new voltage anomaly parent sequence;
the current correlation dimension DIComprises the following steps:
wherein r isIThe phase space sphere radius of the new current anomaly parent sequence;
the temperature correlation dimension DTComprises the following steps:
wherein r isTPhase space sphere radius for the new temperature anomaly parent sequence;
comparing the time curve of the associated dimension when the battery safety state changes with the time curve of the associated dimension when the battery is in a normal state to obtain the curve deviation degree of the change reason of the battery safety state;
according to the curve deviation degree of the change reason of the battery safety state, obtaining the battery safety degree through weighting operation;
and outputting the safety degree value of the battery and the reason of the safe state of the battery under the safety degree value.
2. The lithium-ion power battery safety degree evaluation method based on the correlation dimension as claimed in claim 1, wherein the battery safety state change causes comprise battery voltage abnormality, battery current abnormality and battery surface temperature abnormality, and the voltage abnormality time series, the battery current abnormality time series and the battery surface temperature abnormality time series are respectively defined as a voltage abnormality parent series, a current abnormality parent series and a surface temperature abnormality parent series.
3. The lithium-ion power battery safety degree evaluation method based on the correlation dimension is characterized in that the causes of battery voltage abnormality, battery current abnormality and battery surface temperature abnormality comprise needle-prick pressing weight impact, excessive pressure, electrolyte leakage and charge quantity abnormality, the needle-prick pressing weight impact, excessive pressure, electrolyte leakage and charge quantity abnormality are defined as subsequences, and the subsequences are divided under the father sequences.
4. The lithium-ion power battery safety degree evaluation method based on the correlation dimension as claimed in claim 2, wherein the time series obtaining method for the reason of the change of the battery safety state comprises the following steps:
sampling the voltage abnormality father sequence, the current abnormality father sequence and the surface temperature abnormality father sequence respectively at equidistant intervals to obtain a time sequence { X }U}、{XIAnd { X }T}；
Reconstructing a phase space by using a delay coordinate method to obtain a new sequence (Y)U}、{YIAnd { Y }T}。
5. The lithium-ion power battery safety degree evaluation method based on the correlation dimension as claimed in claim 2, wherein the battery safety degree SOS is as follows:
wherein x is1、x2And x3Are respectively provided withAs the degree of deviation of the voltage curve, the degree of deviation of the current curve and the degree of deviation of the temperature curve, omega1、ω2And ω3Respectively a voltage weight coefficient, a current weight coefficient and a temperature weight coefficient.
6. The lithium ion power battery safety degree evaluation method based on the correlation dimension as claimed in claim 1, wherein the lithium ion power battery safety degree evaluation method based on the correlation dimension comprises establishing a safety degree comparison table, wherein the safety degree comparison table is composed of a plurality of safety intervals, and the safety intervals correspond to the battery safety conditions at the current moment; and matching the obtained safety degree value with the safety interval to obtain the battery safety condition at the current moment.
7. A lithium ion power battery safety degree evaluation device based on correlation dimension is characterized by comprising the following components:
an estimation module, which is used for estimating the safety degree of the current state of the battery according to the lithium ion power battery safety degree estimation method based on the correlation dimension as claimed in any of claims 1-6;
and the display module is used for displaying the safety degree information of the battery in the current state.
8. The lithium-ion power battery safety assessment device based on correlation dimension of claim 7, wherein the lithium-ion power battery safety assessment device based on correlation dimension comprises an interval matching module for establishing a safety comparison table, the safety comparison table is composed of a plurality of safety intervals, and the safety intervals correspond to the battery safety conditions at the current moment; and matching the safety degree value obtained by the estimation module with the safety interval to obtain the battery safety condition at the current moment.
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