CN117250547A - Reliability evaluation method and system for battery energy storage system - Google Patents
Reliability evaluation method and system for battery energy storage system Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 172
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- 230000008859 change Effects 0.000 claims abstract description 50
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 16
- 238000009423 ventilation Methods 0.000 claims abstract description 14
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- 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]
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Abstract
The invention relates to the technical field of battery data processing, in particular to a reliability evaluation method and system of a battery energy storage system. The invention collects various battery energy storage system data; obtaining battery power under the condition of different battery position distribution, calculating the distance between each battery position and the whole temperature measurement point to obtain position distribution weight, obtaining battery power weight according to the battery power, and weighting the battery power to obtain the battery power distribution possibility. Acquiring the overall temperature corresponding to the electric quantity distribution possibility of each battery; the degree of influence of the battery power distribution possibility on the overall temperature is calculated. And then, the reliability of the ventilation system is obtained through the integral temperature change and the influence degree before and after heat dissipation, and the reliability of the battery energy storage system is evaluated according to the reliability of the ventilation system. The reliability evaluation method considers the influence of battery position distribution and battery electric quantity on the cooling effect of the ventilation system, so that the reliability evaluation method has accuracy and universality.
Description
Technical Field
The invention relates to the technical field of battery data processing, in particular to a reliability evaluation method and system of a battery energy storage system.
Background
Currently, with the continuous development of new energy technology, batteries play an increasing role in life. In a battery energy storage system, the temperature of the battery changes correspondingly due to the phenomena of energy consumption and heat generation and overcharge or overdischarge of the battery during the charging process. Under a plurality of scenes such as a battery changing cabinet and a charging station, the storage positions of the batteries are relatively dense, high temperature can be generated when the batteries are charged, even the battery energy storage system is greatly damaged, and the personal and property safety of a user can be endangered.
In the prior art, reliability assessment methods are often utilized to predict the ability of a battery energy storage system to perform its desired function as expected over a period of time. The method for the easiest operation in the reliability evaluation of the battery energy storage system is to test the change condition of the whole temperature of the battery energy storage system before and after the operation of the ventilation system in the battery energy storage system, but in practical conditions, the more densely stored batteries are, the more easily the temperature is increased, the lower the electric quantity of the batteries is in storage, the faster the temperature of the batteries is increased after charging, and the longer the cooling system is required to cool down, so that the battery energy storage system can be restored to a normal working state.
Disclosure of Invention
In order to solve the technical problem that the reliability evaluation result of a battery energy storage system becomes low due to the fact that the influence of the position distribution of a battery and the electric quantity of the battery on the cooling effect of a heat dissipation system cannot be considered, the invention aims to provide a reliability evaluation method and a system of the battery energy storage system, and the adopted technical scheme is as follows:
a method of reliability assessment of a battery energy storage system, the method comprising:
acquiring battery energy storage system data of a battery energy storage system under the condition of different battery position distribution, wherein the battery energy storage system data at least comprises: the battery electric quantity, the overall temperature of the battery energy storage system before heat dissipation and the overall temperature of the battery energy storage system after heat dissipation;
acquiring different battery position distribution conditions and electric quantity of each battery in each battery position distribution condition; calculating the distance between each battery position and the whole temperature measurement point under the condition of each battery position distribution, and obtaining a position distribution weight; obtaining battery power weight according to the power of each battery under the condition of each battery position distribution; acquiring the battery power distribution possibility under the condition of battery distribution according to the position distribution weight, the battery power weight and the battery power;
obtaining the influence degree of the overall temperature of the battery energy storage system before heat dissipation according to the electric quantity distribution possibility of the battery and the overall temperature of the battery energy storage system before heat dissipation under the condition of each battery position distribution;
acquiring the overall temperature of the battery energy storage system after heat dissipation after the heat dissipation system runs for a preset working time under the condition of the position distribution of each battery; obtaining initial temperature change degree according to the integral temperature of the battery energy storage systems before and after heat dissipation and the working time; obtaining the temperature change degree of the battery energy storage system according to the initial temperature change degree under the condition of each battery position distribution;
obtaining the reliability of the heat radiation system according to the temperature change degree and the influence degree; and evaluating the reliability of the battery energy storage system according to the reliability of the heat dissipation system.
Further, the method for acquiring the battery power distribution possibility comprises the following steps:
obtaining the battery power distribution possibility according to a battery power distribution possibility calculation formula, wherein the battery power distribution possibility calculation formula is as follows:
in>Represent the firstPossibility of battery charge distribution in case of battery position distribution, +.>Indicate->The number of batteries in the case of a distribution of the battery positions, < >>Representing the electric quantity of each battery corresponding to the current battery position distribution condition; />Representing the average value of the electric quantity of each battery corresponding to the current battery position distribution condition; />Indicating the position coordinates of each battery, +.>Indicating the global temperature measurement point in said battery energy storage system,/or->Representing the normalization function.
Further, the influence degree obtaining method includes:
acquiring a first sequence consisting of battery electric quantity distribution possibilities corresponding to each battery position distribution situation; acquiring an integral temperature sequence formed by integral temperatures of the battery energy storage system before heat dissipation corresponding to each battery position distribution condition;
calculating a correlation coefficient of the first sequence and the integral temperature sequence; and taking the correlation coefficient as the influence degree of the whole temperature of the battery energy storage system before heat dissipation.
Further, the heat dissipation system is a ventilation system, in the ventilation system, an air inlet is arranged at the center of the battery energy storage system, the air inlet is arranged at two ends of a diagonal line of the battery energy storage system, and two air outlets are respectively arranged at two ends of the diagonal line; and setting the integral temperature measurement point in other areas of the battery energy storage system far away from the air inlet and the air outlet.
Further, the temperature change degree obtaining method includes:
calculating the difference between the overall temperature of the battery energy storage system before heat dissipation and the overall temperature of the battery energy storage system after heat dissipation under the condition of each battery position distribution as a temperature difference;
taking the ratio of the temperature difference value to the working time of the operation of the heat radiation system as the initial temperature change degree; and averaging the initial temperature change degrees corresponding to all battery position distribution conditions to obtain the temperature change degree.
Further, the method for obtaining the reliability of the heat dissipation system comprises the following steps:
taking the ratio of the temperature change degree to the influence degree as the reliability of the heat dissipation system; the reliability of the heat radiation system is in positive correlation with the temperature change degree and in negative correlation with the influence degree.
Further, the method for acquiring the position distribution weight comprises the following steps:
calculating the average value of the distances from the positions of all batteries in the battery energy storage system to the positions of the integral temperature measurement points as a distance average value; and normalizing the distance mean value to obtain the position distribution weight.
Further, the pearson correlation coefficient is used for calculating the correlation coefficient of the first sequence and the whole temperature sequence of the battery energy storage system before heat dissipation.
Further, the battery power weight obtaining method includes: and carrying out normalization processing on the difference value between the current battery electric quantity and the electric quantity average value to obtain the current battery electric quantity weight.
A battery energy storage system reliability assessment system comprising a memory, a processor and a computer program stored in the memory and executable on the processor to implement the steps of a battery energy storage system reliability assessment method as described above.
The invention has the following beneficial effects:
in order to solve the technical problem that the reliability evaluation result of the battery energy storage system is low due to the fact that the influence of the position distribution of the battery and the electric quantity of the battery on the cooling effect of the heat dissipation system cannot be considered, the method and the device acquire data of various battery energy storage systems so as to facilitate the follow-up calculation of the position distribution of the battery and the influence of the electric quantity on the temperature. The method comprises the steps of obtaining positions of batteries and electric quantity corresponding to the batteries under different battery distribution conditions, obtaining position distribution weights according to the battery position distribution conditions, obtaining battery electric quantity weights according to the battery electric quantity, giving the position distribution weights and the battery electric quantity weights to the battery electric quantity to obtain battery electric quantity distribution possibility under each battery distribution condition, and reflecting the mutual influence of the batteries according to the battery electric quantity distribution possibility. And then, acquiring the overall temperature of the battery energy storage system corresponding to each battery electric quantity distribution possibility, and calculating the correlation coefficient of each battery electric quantity distribution possibility and the overall temperature of the corresponding battery energy storage system as the influence degree of the battery electric quantity distribution possibility on the overall temperature of the corresponding battery energy storage system, wherein the influence effect of different battery position distribution conditions and each battery electric quantity on the overall temperature of the battery energy storage system can be reflected through the influence degree, and the smaller the correlation coefficient is, the smaller the influence effect is. The method comprises the steps of obtaining the overall temperature of a battery energy storage system after heat dissipation after the heat dissipation system runs for a certain working time, obtaining the temperature change degree according to the overall temperature and the working time of the battery energy storage system before and after heat dissipation, obtaining the reliability of the heat dissipation system according to the temperature change degree and the influence degree, and carrying out reliability assessment on the battery energy storage system according to the reliability of the heat dissipation system. According to the method, the influence of the position distribution of the battery and the electric quantity of the battery on the cooling effect of the heat dissipation system is considered when the reliability of the battery energy storage system is evaluated, and other detection equipment is not added, so that the reliability evaluation method has accuracy and universality.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for evaluating reliability of a battery energy storage system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a heat dissipation system according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to the specific implementation, structure, characteristics and effects of a method and a system for evaluating the reliability of a battery energy storage system according to the invention, which are provided by the invention, with reference to the accompanying drawings and the preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the reliability evaluation method of the battery energy storage system provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a method for evaluating reliability of a battery energy storage system according to an embodiment of the invention is shown, where the method includes:
step S1: acquiring battery energy storage system data of a battery energy storage system under the condition of different battery position distribution, wherein the battery energy storage system data at least comprises: the battery power, the overall temperature of the battery energy storage system before heat dissipation and the overall temperature of the battery energy storage system after heat dissipation.
The embodiment of the invention aims to provide a reliability evaluation method of a battery energy storage system, aiming at the reliability evaluation method of the battery energy storage system, the data of the battery energy storage system under the condition of each battery position distribution is required to be acquired first. Because the embodiment of the invention needs to study the influence of the battery position distribution and the battery electric quantity on the whole temperature of the battery energy storage system, the battery electric quantity, the whole temperature of the battery energy storage system before ventilation, the whole temperature of the battery energy storage system after ventilation and other battery energy storage system data are acquired in advance so as to facilitate the subsequent study.
In one embodiment of the invention, the placement positions of the batteries have randomness, the placement position distribution of the batteries under different conditions is recorded, the placement position distribution of the batteries under each condition is used as the position distribution condition of each battery, and the battery aggregation degree is obtained according to the distance between the batteries. After the energy storage data of various batteries are collected, the obtained data set is subjected to abnormal value cleaning, and the data set is subjected to operations such as discarding, filling, replacing or de-repeating of abnormal values, so that the purposes of removing the abnormal data of the energy storage data of various batteries, correcting errors, supplementing missing data and the like are achieved, and the data of various battery energy storage systems after pretreatment are more accurate and complete. It should be noted that, the data processing methods such as missing value processing and data standardization can be adopted to make the data of various battery energy storage systems more accurate and complete, and the specific operation method can be automatically applied by the implementation personnel according to the specific implementation scenario, which is not limited and repeated herein. It should be noted that, the battery aggregation level may be obtained according to the distance between the individual batteries in each battery position distribution situation, and those skilled in the art may obtain the aggregation level by various methods, which are not described and limited herein.
Step S2: acquiring different battery position distribution conditions and electric quantity of each battery in each battery position distribution condition; calculating the distance between each battery position and the whole temperature measurement point under the condition of each battery position distribution, and obtaining a position distribution weight; obtaining battery power weight according to the power of each battery under the condition of each battery position distribution; and acquiring the battery power distribution possibility under the condition of the battery distribution according to the position distribution weight, the battery power weight and the battery power.
In some implementations, such as battery change cabinets, charging stations, the batteries are arranged in an array in a battery energy storage system. Under such circumstances, the more the battery storage locations are gathered, the greater the temperature influence between the batteries is, the higher the temperature around the batteries is, and the battery power has a greater influence on the temperature rise, and when the battery power is low, the charging rate is high, which may cause the battery to generate more heat during charging, so that the acquisition of the power of each battery in different battery location distribution conditions and each battery location distribution condition can facilitate the subsequent study on the overall temperature of the battery energy storage system. The density of the battery under the current battery position distribution condition can be reflected by calculating the distance between each battery position and the whole temperature measuring point under each battery position distribution condition, so that the influence of the battery position distribution condition on the whole temperature of the battery energy storage system is reflected; the influence of the current battery electric quantity distribution on the whole temperature of the battery energy storage system can be reflected through the battery electric quantity weight; and the battery electric quantity distribution possibility integrates the battery position distribution and the battery electric quantity, thereby facilitating the subsequent further research.
Preferably, in one embodiment of the present invention, the method for acquiring the location distribution weight includes:
calculating the average value of the distances from the positions of all batteries in the battery energy storage system to the positions of the integral temperature measurement points as a distance average value; and normalizing the distance average value to obtain a position distribution weight.
Preferably, in one embodiment of the present invention, the method for acquiring the battery power weight includes:
and carrying out normalization processing on the difference value between the current battery electric quantity and the electric quantity average value to obtain the current battery electric quantity weight.
Preferably, in one embodiment of the present invention, the battery power distribution possibility obtaining method includes:
the battery power distribution possibility is obtained according to a battery power distribution possibility calculation formula, and in one embodiment of the invention, the battery power distribution possibility calculation formula is as follows:
in the middle of，Indicate->Possibility of battery charge distribution in case of battery position distribution, +.>Indicate->The number of batteries in the case of a distribution of the battery positions, < >>Representing the electric quantity of each battery corresponding to the current battery position distribution condition; />Representing the average value of the electric quantity of each battery corresponding to the current battery position distribution condition; />Indicating the position coordinates of each battery, +.>Indicating the global temperature measurement point in the battery energy storage system,/->Representing the normalization function.
In the calculation formula of the battery electric quantity distribution possibility, the distances between each battery position and the position of the whole temperature measuring point under the current battery position distribution condition are averaged and normalized to obtain a position distribution weight, the difference value between each battery electric quantity and the electric quantity average value is normalized to obtain a battery electric quantity weight of each battery, and the current battery electric quantity is weighted and summed by the position distribution weight and the battery electric quantity weight to obtain the battery electric quantity distribution possibility under the current battery position distribution condition. Wherein, the smaller the position distribution weight is, the more the current battery position distribution situation is gathered.
Step S3: obtaining the influence degree of the overall temperature of the battery energy storage system before heat dissipation according to the distribution possibility of the battery electric quantity under the condition of each battery position distribution and the overall temperature of the battery energy storage system before heat dissipation; acquiring the overall temperature of the battery energy storage system after heat dissipation after the heat dissipation system runs for a preset working time under the condition of the position distribution of each battery; obtaining initial temperature change degree according to the overall temperature and working time of the battery energy storage systems before and after heat dissipation; and obtaining the temperature change degree of the battery energy storage system according to the initial temperature change degree under each battery position distribution condition.
According to the step S2, the battery power distribution possibility has a great correlation with the overall temperature of the battery energy storage system, and currently if the position distribution weight is smaller under the condition of the battery position distribution, the distance between the batteries is smaller, and if the battery power is lower, the overall temperature of the battery energy storage system rises faster, and the overall temperature of the battery energy storage system drops slower, so that the degree of influence of the battery power distribution possibility on the overall temperature of the battery energy storage system is reflected by the correlation between the battery power distribution possibility and the overall temperature of the battery energy storage system, wherein the lower the correlation is, the lower the degree of influence is. Along with the starting of the heat radiation system, the overall temperature of the battery energy storage system can be rapidly reduced, the variation trend of the overall temperature of the battery energy storage system before and after heat radiation under the condition of each battery position distribution can be known according to the overall temperature of the battery energy storage system before and after heat radiation under the condition of each battery position distribution and the running time of the heat radiation system, whether the cooling effect of the heat radiation system on the battery energy storage system is good or not can be reflected according to the variation trend of the overall temperature of the battery energy storage system, and the follow-up assessment of the reliability of the heat radiation system is facilitated.
Preferably, in one embodiment of the present invention, the method for obtaining the influence degree of the battery power distribution possibility on the overall temperature of the battery energy storage system before ventilation includes:
acquiring a first sequence consisting of battery electric quantity distribution possibilities corresponding to each battery position distribution situation; acquiring an integral temperature sequence formed by integral temperatures of the battery energy storage system before heat dissipation corresponding to each battery position distribution condition; calculating a correlation coefficient between the first sequence and the whole temperature sequence; and taking the correlation coefficient as the influence degree of the whole temperature of the battery energy storage system before heat dissipation. In one embodiment of the invention, the degree of influence is calculated using the pearson correlation coefficient formula, which is shown below:
in the method, in the process of the invention,indicating the influence degree of the whole temperature of the battery energy storage system before heat dissipation, < + >>Indicate->Possibility of battery charge distribution in case of battery position distribution, +.>Indicate->The overall temperature of the battery energy storage system before heat dissipation under the condition of battery position distribution>Mean value representing all battery charge distribution possibilities,/->Representing the average value of the overall temperature of the battery energy storage system before heat dissipation corresponding to the distribution condition of all the battery positions, ++>Standard deviation +.>Standard deviation of battery energy storage system integral temperature before heat dissipation corresponding to all battery position distribution conditions，/>Representing the covariance function. In one embodiment of the invention, the battery aggregation degree of each battery position distribution situation is arranged from small to large, the battery electric quantity distribution possibility corresponding to the battery position distribution situation forms a first sequence, and the whole temperature sequence is obtained by sequencing the whole temperature of the battery energy storage system before heat dissipation according to the corresponding battery position distribution situation. The first sequence may be obtained by arranging the battery aggregation levels from large to small, and is not limited thereto.
In the influence degree calculation formula, according to the pearson correlation coefficient concept, the larger the pearson correlation coefficient is, the more relevant the change relation between the two sequences is. If the battery aggregation degree of each battery position distribution condition is larger, the corresponding battery electric quantity distribution possibility is larger, and if the corresponding battery energy storage system integral temperature before heat dissipation is larger at the moment, the correlation coefficient between the battery electric quantity distribution condition and the corresponding battery energy storage system integral temperature before heat dissipation is larger, the influence degree of the battery position distribution condition on the battery energy storage system integral temperature before heat dissipation is larger; if the battery aggregation degree of each battery position distribution condition is larger, the corresponding battery electric quantity distribution possibility is larger, and if the whole temperature of the battery energy storage system is smaller before corresponding heat dissipation at the moment, the smaller the correlation coefficient between the battery electric quantity distribution condition and the whole temperature of the battery energy storage system is indicated, the smaller the influence degree of the battery position distribution condition on the whole temperature of the battery energy storage system is.
It should be noted that, in the present invention, the calculation may also be performed by using a calculation formula of correlation coefficients such as Spearman rank correlation coefficient and Kendall rank correlation coefficient, and the specific calculation steps are technical means well known to those skilled in the art, which are not limited and described herein.
Preferably, in one embodiment of the present invention, the heat dissipation system is configured as a ventilation system, in which an air inlet is disposed at a central position of the battery energy storage system, and the air inlet is disposed at two ends of a diagonal line of the battery energy storage system, and two air outlets are respectively disposed at two ends of the diagonal line; with whole temperature measurement point setting in the battery energy storage system's that keeps away from air intake and air outlet other regions, specifically can refer to fig. 2, provide a ventilation system facility, because the temperature of battery energy storage system intermediate position is difficult to diffuse, so install the air intake in intermediate position, the air outlet is put at diagonal both ends, can make the air circulate better in battery energy storage system like this, set up whole temperature measurement point in keeping away from the air inlet and outlet in order to avoid the influence that air circulation caused to temperature measurement around the air inlet and outlet, the heat diffusion around the air inlet is faster.
It should be noted that the battery energy storage system may also use other types of heat dissipation systems to cool down, which is not limited herein.
Preferably, in one embodiment of the present invention, the method for acquiring the temperature variation degree of the overall temperature of the battery energy storage system before and after ventilation includes:
calculating the difference between the overall temperature of the battery energy storage system before heat dissipation and the overall temperature of the battery energy storage system after heat dissipation under the condition of each battery position distribution as a temperature difference; taking the ratio of the temperature difference value to the operating time of the heat radiation system as the initial temperature change degree; and averaging the initial temperature change degrees corresponding to all the battery position distribution conditions to obtain the temperature change degree. In one embodiment of the present invention, the initial temperature change level formula is as follows:
in the method, in the process of the invention,the initial temperature change degree of the whole temperature of the battery energy storage system before and after heat dissipation under the condition of each battery position distribution is represented by +.>Indicating the overall temperature of the battery energy storage system before heat dissipation, < + >>Indicating the overall temperature of the battery energy storage system after heat dissipation, < + >>Indicating the operating time of the heat dissipation system.
In the calculation formula of the initial temperature change degree, under the condition of certain battery position distribution, the temperature change trend can be represented by using the ratio of the temperature difference value of the overall temperature of the battery energy storage system corresponding to the two time points before and after heat dissipation to the running time of the heat dissipation system, and the temperature change trend is used as the initial temperature change degree of the overall temperature of the battery energy storage system before and after heat dissipation under the condition of the battery position distribution. It should be noted that, the initial temperature change degree of the overall temperature of the battery energy storage system before and after heat dissipation can also be calculated by adopting methods such as linear regression analysis, and specific operation steps are technical means known to those skilled in the art, and are not limited and repeated herein.
The initial temperature change degree of the overall temperature of the battery energy storage system before and after heat dissipation under the condition of each battery position distribution is averaged to obtain the temperature change degree。
S4, obtaining the reliability of the heat radiation system according to the temperature change degree and the influence degree; and carrying out reliability evaluation on the battery energy storage system according to the reliability of the heat dissipation system.
Under the work of a heat dissipation system in the battery energy storage system, the change trend of the overall temperature of the battery energy storage system before and after heat dissipation is measured, and the position distribution weight and the battery electric quantity are different under the condition of different battery position distribution, so that the corresponding overall temperature reduction effect of the battery energy storage system is also different, and the degree of influence on the overall temperature of the battery energy storage system is also different. According to the temperature change degree of the overall temperature of the battery energy storage system before and after heat dissipation and the influence degree of the electric quantity distribution possibility of each battery on the overall temperature of the battery energy storage system before corresponding ventilation, the reliability of the heat dissipation system is obtained, and the reduction effect of the heat dissipation system on the overall temperature of the battery energy storage system under the influence of the electric quantity distribution possibility of the battery can be reflected. By evaluating the reliability of the heat dissipation system in the battery energy storage system, the reliability of the battery energy storage system can be reflected most simply and intuitively.
Preferably, in one embodiment of the present invention, the method for obtaining reliability of a heat dissipation system includes: taking the ratio of the temperature change degree to the influence degree as the reliability of the heat radiation system; the reliability of the heat radiation system is in positive correlation with the temperature change degree and in negative correlation with the influence degree. In one embodiment of the invention, the reliability calculation formula of the heat dissipation system is as follows:
in the method, in the process of the invention,indicating the reliability of the heat dissipation system->Temperature change degree of overall temperature of battery energy storage system before and after heat dissipation, +.>And the influence degree of the whole temperature of the battery energy storage system before heat dissipation is shown.
In the reliability calculation formula of the heat dissipation system, the ratio of the temperature change degree of the overall temperature of the battery energy storage system before and after heat dissipation to the influence degree of the overall temperature of the battery energy storage system before heat dissipation is used, so that the influence of the electric quantity distribution possibility of the battery on the performance of the heat dissipation system can be reflected, the smaller the influence degree is, the smaller the influence on the performance of the heat dissipation system is, the larger the temperature change degree is, the better the cooling effect is, and the reliability of the heat dissipation system is higher.
It should be noted that, the correlation between the reliability of the heat dissipation system and the degree of temperature change and the degree of influence can be established through other mathematical operation steps, and the specific mathematical operation steps are technical means known to those skilled in the art, and are not limited and described herein.
The reliability evaluation of the heat dissipation system in the battery energy storage system is completed, the reliability of the heat dissipation system is used for intuitively and conveniently representing the reliability of the battery energy storage system, and the method has universality without adding additional monitoring equipment.
In summary, the invention collects various battery energy storage system data; obtaining battery power under the condition of different battery position distribution, calculating the distance between each battery position and the whole temperature measurement point to obtain position distribution weight, obtaining battery power weight according to the battery power, and weighting the battery power to obtain the battery power distribution possibility. Acquiring the overall temperature corresponding to the electric quantity distribution possibility of each battery; the degree of influence of the battery power distribution possibility on the overall temperature is calculated. And then the reliability of the heat radiation system is obtained through the overall temperature change and the influence degree before and after heat radiation, and the reliability of the battery energy storage system is evaluated according to the reliability of the heat radiation system. The reliability evaluation method is accurate and universal by considering the influence of battery position distribution and battery electric quantity on the cooling effect of the cooling system.
The embodiment of the invention also provides a battery energy storage system reliability evaluation system, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor can realize the steps of the battery energy storage system reliability evaluation method when executing the computer program.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings 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.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (10)
1. A method for evaluating reliability of a battery energy storage system, the method comprising:
acquiring battery energy storage system data of a battery energy storage system under the condition of different battery position distribution, wherein the battery energy storage system data at least comprises: the battery electric quantity, the overall temperature of the battery energy storage system before heat dissipation and the overall temperature of the battery energy storage system after heat dissipation;
acquiring different battery position distribution conditions and electric quantity of each battery in each battery position distribution condition; calculating the distance between each battery position and the whole temperature measurement point under the condition of each battery position distribution, and obtaining a position distribution weight; obtaining battery power weight according to the power of each battery under the condition of each battery position distribution; acquiring the battery power distribution possibility under the condition of battery distribution according to the position distribution weight, the battery power weight and the battery power;
obtaining the influence degree of the overall temperature of the battery energy storage system before heat dissipation according to the electric quantity distribution possibility of the battery and the overall temperature of the battery energy storage system before heat dissipation under the condition of each battery position distribution;
acquiring the overall temperature of the battery energy storage system after heat dissipation after the heat dissipation system runs for a preset working time under the condition of the position distribution of each battery; obtaining initial temperature change degree according to the integral temperature of the battery energy storage systems before and after heat dissipation and the working time; obtaining the temperature change degree of the battery energy storage system according to the initial temperature change degree under the condition of each battery position distribution;
obtaining the reliability of the heat radiation system according to the temperature change degree and the influence degree; and evaluating the reliability of the battery energy storage system according to the reliability of the heat dissipation system.
2. The method for evaluating the reliability of a battery energy storage system according to claim 1, wherein the method for acquiring the battery power distribution probability comprises:
obtaining the battery power distribution possibility according to a battery power distribution possibility calculation formula, wherein the battery power distribution possibility calculation formula is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the A kind of electronic device with high-pressure air-conditioning systemIn (I)>Indicate->Possibility of battery charge distribution in case of battery position distribution, +.>Indicate->The number of batteries in the case of a distribution of the battery positions, < >>Representing the electric quantity of each battery corresponding to the current battery position distribution condition; />Representing the average value of the electric quantity of each battery corresponding to the current battery position distribution condition; />Indicating the position coordinates of each battery, +.>Indicating the global temperature measurement point in said battery energy storage system,/or->Representing the normalization function.
3. The method for evaluating the reliability of a battery energy storage system according to claim 1, wherein the influence degree obtaining method comprises:
acquiring a first sequence consisting of battery electric quantity distribution possibilities corresponding to each battery position distribution situation; acquiring an integral temperature sequence formed by integral temperatures of the battery energy storage system before heat dissipation corresponding to each battery position distribution condition;
calculating a correlation coefficient of the first sequence and the integral temperature sequence; and taking the correlation coefficient as the influence degree of the whole temperature of the battery energy storage system before heat dissipation.
4. The method for evaluating the reliability of a battery energy storage system according to claim 1, wherein the heat dissipation system is a ventilation system, in which an air inlet is arranged at the center of the battery energy storage system, the air inlet is arranged at two ends of a diagonal line of the battery energy storage system, and one air outlet is respectively arranged at two ends of the diagonal line; and setting the integral temperature measurement point in other areas of the battery energy storage system far away from the air inlet and the air outlet.
5. The method for evaluating the reliability of a battery energy storage system according to claim 1, wherein the temperature variation degree obtaining method comprises:
calculating the difference between the overall temperature of the battery energy storage system before heat dissipation and the overall temperature of the battery energy storage system after heat dissipation under the condition of each battery position distribution as a temperature difference;
taking the ratio of the temperature difference value to the working time of the operation of the heat radiation system as the initial temperature change degree; and averaging the initial temperature change degrees corresponding to all battery position distribution conditions to obtain the temperature change degree.
6. The method for evaluating the reliability of a battery energy storage system according to claim 1, wherein the method for acquiring the reliability of the heat dissipation system comprises:
taking the ratio of the temperature change degree to the influence degree as the reliability of the heat dissipation system; the reliability of the heat radiation system is in positive correlation with the temperature change degree and in negative correlation with the influence degree.
7. The method for evaluating the reliability of a battery energy storage system according to claim 2, wherein the method for acquiring the position distribution weight comprises:
calculating the average value of the distances from the positions of all batteries in the battery energy storage system to the positions of the integral temperature measurement points as a distance average value; and normalizing the distance mean value to obtain the position distribution weight.
8. A method of evaluating the reliability of a battery energy storage system according to claim 3, wherein the first sequence is related to the overall temperature sequence of the battery energy storage system before heat dissipation using pearson correlation coefficients.
9. The method for evaluating the reliability of a battery energy storage system according to claim 2, wherein the method for acquiring the battery power weight comprises: and carrying out normalization processing on the difference value between the current battery electric quantity and the electric quantity average value to obtain the current battery electric quantity weight.
10. A battery energy storage system reliability assessment system, the system comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of a battery energy storage system reliability assessment method according to any one of claims 1 to 9.
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