CN111598465B - Multi-station multi-parameter task scheduling method for testing power lithium battery module - Google Patents
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Abstract
The invention discloses a multi-station multi-parameter task scheduling method for testing a power lithium battery module, which comprises the following steps: grouping the power lithium battery modules according to the difference of the rated capacity and the rated voltage of the power lithium battery modules, and connecting the power lithium battery modules into each station of a battery test system; splitting the test content required by each group of grouped power lithium battery modules into an uninterruptible minimum continuous test task, and establishing a test sequence set of all test tasks; establishing a relation between a task test path set and total test time, and calculating the total test time and the total use time of the high and low temperature test box corresponding to the test path set according to the test time and the test waiting time of each test task; establishing a test path set by using an ant colony algorithm, solving the test path set, and giving test starting time and test ending time to each test task; and performing task testing on the power lithium battery modules of each station according to the task testing sequence, the testing starting time and the testing ending time of the optimal testing path set.
Description
Technical Field
The invention relates to a method for testing the electrical performance of a power lithium battery module, in particular to a multi-station multi-parameter task scheduling method for testing the power lithium battery module.
Background
The power lithium battery is an energy source of most of the electric automobiles at present, and the energy density and the charge and discharge performance of the power lithium battery directly influence the service performance of the power automobiles. At present, the industry of the power lithium battery is developed rapidly, and various point performance parameters including room-temperature discharge capacity, open-circuit voltage, alternating-current internal resistance, room-temperature rate discharge capacity, room-temperature rate charge performance, low-temperature discharge capacity, high-temperature discharge capacity and the like need to be tested for a power lithium battery module in relevant test standards. The electrical performance test of the power lithium battery module is carried out by adopting a battery module charging and discharging test system, when the multi-parameter performance test condition of a plurality of groups of power lithium batteries is carried out, a single power lithium battery module is connected in a test channel by the traditional test method, and due to the fact that the shelving time of the power lithium battery module exists between electrical performance parameter test tasks, the test channel is idle in the test process, the whole test time is long, and the test efficiency is low.
The invention discloses a multi-station multi-parameter task scheduling method for testing a power lithium battery module.
The specific patent references and related documents mentioned above are:
1) The patent application number 201810544795.0. The invention discloses a device and a method for testing the performance of a power lithium battery, wherein the method comprises the steps of starting a charging switch and closing a discharging switch in a small-sized power lithium battery performance testing device, and carrying out charging test on the power lithium battery; and closing the charging switch and opening the discharging switch to perform a discharging test on the power lithium battery. Although the method can simply and conveniently realize the performance test of the power lithium battery, only a single power lithium battery can be tested at a time, and the test efficiency is low.
2) 'a new energy automobile power lithium battery performance detection test method', patent application number 201810347856.4. The invention discloses a performance detection test method for a new energy automobile power lithium battery. According to the method, different structural devices in the power lithium battery performance detection device are started by assembling the power lithium battery performance detection device aiming at different test environments required by performance tests such as temperature test, vibration test, load test, complex environment test and the like. The method can realize various performance tests of the power lithium battery, but a test optimization scheme is not provided, and the test efficiency is low.
3) "a multitask progress management system and method", patent No. 201810606314.4. The invention discloses a multitask progress management system and a multitask progress management method, wherein a multitask management system integrating a task scheduling center, a task executor, a task analyzer and a task display is constructed, different types of tasks are combined to carry out unified task progress management, and meanwhile, the nested effect is included, so that the specific execution condition of a program can be more accurately described. The method ensures that the multitask progress can be observed in real time, but does not substantially put forward a specific implementation scheme of multitask management.
4) The article provides an ant colony algorithm, and can solve the problem of multi-processing-route flexible workshop scheduling based on ant colony algorithm and obtain an optimal workshop process route, wherein the problem is solved by the ant colony algorithm in the 'computer integrated manufacturing system' of 3 rd stage of 2017 by the university of the great chain of sciences. The scheduling model provided by the article is suitable for a scheduling model of a multi-machine multi-test process, but the multi-station multi-parameter task test of the electrical property of the power lithium battery module does not have the characteristic of no flexibility, so that the method is not suitable for the multi-station multi-parameter task test scheduling of the electrical property of the power lithium battery module.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a multi-station multi-parameter task scheduling method for testing a power lithium battery module.
The purpose of the invention is realized by the following technical scheme:
a multi-station multi-parameter task scheduling method for testing a power lithium battery module comprises the following steps:
step A, grouping the power lithium battery modules according to the difference of the rated capacity and the rated voltage of each group of power lithium battery modules, and connecting the power lithium battery modules into each station of a battery test system;
step B, splitting the test content required by each group of the grouped power lithium battery modules into an uninterruptible minimum continuous test task in the test process, setting a priority test task, and establishing a test sequence set of all test tasks;
step C, establishing a relation between the task testing path set and the total testing time, and calculating the total testing time and the total using time of the high-low temperature test box corresponding to the testing path set according to the testing time and the testing waiting time of each testing task;
step D, establishing a test path set by using an ant colony algorithm, solving an optimal task test path set, and giving test starting time and test finishing time to each test task;
and E, sequentially testing each task of the power lithium battery module of each station according to the task testing sequence, the testing starting time and the testing ending time of the optimal testing path set.
One or more embodiments of the present invention may have the following advantages over the prior art:
according to the method, the multi-station multi-test parameter tasks of the power lithium battery are scheduled, the ant colony algorithm is utilized to solve the optimal task test path set, the test time of the battery test system is greatly shortened, the service time of a high-temperature test box and a low-temperature test box is shortened, and the test cost is well saved.
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FIG. 1 is a flow chart of a multi-station multi-parameter task scheduling method for testing a power lithium battery module;
fig. 2 is a detailed flowchart of a multi-station multi-parameter task scheduling method for testing a power lithium battery module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings.
As shown in fig. 1, the flow chart of the multi-station multi-parameter task scheduling method for testing a power lithium battery module provided by the invention comprises the following steps:
and step 50, sequentially testing each task of the power lithium battery module of each station according to the task testing sequence, the testing starting time and the testing ending time of the optimal testing path set.
in step 20, the method specifically comprises the following steps:
the power lithium battery module group is divided into m power lithium battery modules, namely m stations are required to be connected into a battery test system, the m stations are subjected to charge and discharge operations only through one test channel, and test contents of each power lithium battery module group can be divided into n i (i belongs to (1, m)) continuous test tasks, the test content of the group of power lithium battery modules is totally split into n = (n) 1 +n 2 +L+n m ) Setting priority test task, setting priority test task sequence at front end, recording test task as P ab A (a is more than or equal to 1 and less than or equal to m) is expressed as the serial number of the power lithium battery module, namely the serial number of the station of the battery system; b is expressed as the internal test serial number of the power lithium battery module, and the test sequence set of the power lithium battery module
The test sequence of the power lithium battery modules in the same station needs to be carried out in sequence, such as task P in the first power lithium battery module 11 Need to be at task P 12 And (4) performing the previous step.
Setting each continuous test task test time set corresponding to the power lithium battery module test sequence set as
Namely T ab Indicates test run P ab The time of a battery test system is required to be occupied during the test; setting the test waiting time set of each continuous test task corresponding to the test sequence set of the group of power lithium battery modules as ^ greater than or equal to>
I.e. W ab Indicates completion of the test P ab And (4) the power lithium battery module needs to be set aside for a certain time after testing.
In step 30, the specific steps include:
let the task test path set be R = { R = 1 ,R 2 ,L,R n }(R j Belongs to P, j is more than or equal to 1 and less than or equal to n), the battery testing system tests the group of power lithium battery modules according to the task testing path set, the task testing starting time and the testing ending time are recorded after each testing task is finished, and the testing starting time S when the jth task is tested is set j And end time of test F j The serial number of the tested power lithium battery module is P ab Then the power lithium battery module (or the station) performs the test start time S corresponding to the battery test ab And end time of test F ab The calculation formula is as follows:
F ab ＝S ab +T ab
because the power lithium battery module is charged and discharged only by one test channel, when a battery task test is finished at a certain test station, the start time and the end time of the test task at the station are the start time and the end time of the task test at one test channel of the whole battery test system, namely F j ＝F ab ，S j ＝S ab 。
The total test time corresponding to the test path set can be expressed as the test pathThe test end time after the last test task is completed, i.e. the total test time T t ＝F n 。
When task tests such as low-temperature discharge capacity and high-temperature discharge capacity are carried out, a high-low temperature test box is required to be used for testing the power lithium battery module, the temperature of the test box is set to be in a high-temperature state and a low-temperature state, and a test path is set to concentrate a test task set which needs to adopt high-temperature tests
According to the recorded start time and end time of the task test, the total service time of the high-low temperature test box in the high-temperature test can be calculated
The same method can also calculate the service time T of the high-low temperature test chamber when the low-temperature test is carried out l 。
In step 40, the specific steps of solving the optimal task test path set are as follows:
(1) the split battery test tasks are regarded as the targets that ants need to traverse, when the ants traverse all the battery test tasks according to a certain sequence, all the battery task tests are regarded as completed, and the traversal sequence of the ants is just a task test path set;
(2) number of initialized ants N t Pheromone importance factor alpha, heuristic function importance factor beta, pheromone volatility factor rho, set tau rs And for the pheromone of the connection between the r-th test task and the s-th test task, initially setting pheromone equality between all the connection test tasks. In the process of generating the test path set, each test task selection is determined by pheromones and heuristic functions, and all test tasks are completed through selection to obtain a task test path set R 1 While calculating the total test time T t1 And total service time T of high-low temperature test chamber h1 And T l1 . To N t Only ants carry out test traversal operation to obtain a total test time set
Total use time set & lton & gt/low temperature test chamber>
Setting weights for the total test time and the total service time of the high-low temperature test chamber and accumulating to obtain a first generation optimal test path set R 1best At this time, the global optimal test path set R best Is R 1best . And obtaining the optimal total test time and the optimal total service time of the high-low temperature test box according to the optimal test path set.
(3) Updating pheromones among test tasks according to the test paths selected by the ants, wherein the expression of pheromone change is
Wherein represents Δ τ rs (N) represents that the Nth ant traversals through the r test task and is connected to the pheromone released by the s test task, and the pheromones released by the ants after one test traversal are all Q 0 Then Δ τ rs (N) is expressed as>
(4) Repeating the steps (2) to (3), and setting the global optimal test path solution as R best Comparing the test path set R during each iteration Ibest And R I-1best . Wherein I is the current iteration algebra, and the optimal test path set is replaced by R best . If R is in the course of 10 successive iterations best If not, outputting the optimal test path set and giving out the corresponding total test time T tbest And test start time S of each test task best ＝{S 1best ,S 2best ,L,S nbest And test end time F best ＝{F 1best ,F 2best ,L,F nbest }。
And step 50, controlling the charging and discharging sequence of the testing channel of the battery testing system according to the task testing sequence, the testing starting time and the testing ending time of the obtained optimal testing path set, and sequentially testing each task of the power lithium battery module of each station.
Although the embodiments of the present invention have been described above, the above descriptions are only for the convenience of understanding the present invention, and are not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A multi-station multi-parameter task scheduling method for testing a power lithium battery module is characterized by comprising the following steps:
step A, grouping the power lithium battery modules according to the difference of the rated capacity and the rated voltage of each group of power lithium battery modules, and connecting the power lithium battery modules into each station of a battery test system;
step B, splitting the test content required by each group of the grouped power lithium battery modules into an uninterruptible minimum continuous test task in the test process, setting a priority test task, and establishing a test sequence set of all test tasks;
step C, establishing a relation between the task testing path set and the total testing time, and calculating the total testing time and the total using time of the high-low temperature test box corresponding to the testing path set according to the testing time and the testing waiting time of each testing task;
step D, establishing a test path set by using an ant colony algorithm, solving an optimal task test path set, and giving test starting time and test finishing time to each test task;
step E, according to the task test sequence, the test starting time and the test ending time of the optimal test path set, sequentially testing each task of the power lithium battery module of each station;
in the step D, the ant colony algorithm is utilized to establish a test path set, and the solving method for solving the test path set of the optimal task comprises the following steps:
d1, the split battery test tasks are regarded as targets to be traversed by ants, when the ants traverse all the battery test tasks in a certain sequence, all the battery task tests are regarded as being completed, and the traversal sequence of the ants is just a task test path set;
d2 number of initialized ants N t Pheromone importance factor alpha, heuristic function importance factor beta, pheromone volatility factor rho, set tau rs For the pheromone of the r-th test task connected to the s-th test task, the pheromone equality among all the connected test tasks is initially set; in the process of generating the test path set, each test task selection is determined by pheromones and heuristic functions, and all test tasks are completed through selection to obtain a task test path set R 1 While calculating the total test time T t1 And total service time T of high-low temperature test chamber h1 And T l1 (ii) a To N t Only ants carry out test traversal operation to obtain a total test time set
Total use time collection of high and low temperature test box>
Setting weights for the total test time and the total service time of the high-low temperature test chamber and accumulating to obtain a first generation optimal test path set R 1best At this time, the global optimal test path set R best Is R 1best (ii) a Obtaining the optimal total test time and the optimal total service time of the high and low temperature test box according to the optimal test path set;
d3, updating pheromones among the test tasks according to the test paths selected by the ants, wherein the expression of the change of the pheromones is
Wherein represents Δ τ rs (N) represents that the Nth ant traversals through the r test task and is connected to the pheromone released by the s test task, and the pheromones released by the ants after one test traversal are all Q 0 Then Δ τ rs (N) is expressed as->
D4 repeating D2-D3 setting global optimum test path solution as R best Comparing the test path set R during each iteration Ibest And R I-1best (ii) a Wherein I is the current iteration algebra, and the optimal test path set is replaced by R best (ii) a If R is in the course of 10 successive iterations best If not, outputting the optimal test path set and giving out the corresponding total test time T tbest And test start time S of each test task best ＝{S 1best ,S 2best ,…,S nbest And test end time F best ＝{F 1best ,F 2best ,…,F nbest }。
2. The multi-station multi-parameter task scheduling method for the testing of the power lithium battery module as claimed in claim 1, wherein the battery testing system connected to the power lithium battery module is a battery module charging and discharging testing system, the battery module charging and discharging testing system has a plurality of testing channels, the battery module charging and discharging testing system can provide a plurality of stations for the testing of the electrical performance of the power lithium battery module, and one testing channel can only perform charging and discharging testing operations on the power lithium battery module at one station at the same time.
3. The multi-station multi-parameter task scheduling method for the testing of the power lithium battery modules as claimed in claim 1, wherein the multi-station multi-parameter task scheduling method is to complete the electrical performance parameter testing of each power lithium battery module on one battery testing system, and shorten the total testing time of the power lithium battery modules by reasonably scheduling the charging and discharging sequence of each station of the system.
4. The multi-station multi-parameter task scheduling method for the test of the power lithium battery module as claimed in claim 1, wherein the test contents required by the power lithium battery module in the step B include room temperature discharge capacity, open circuit voltage, alternating current internal resistance, room temperature rate discharge capacity, room temperature rate charge performance, low temperature discharge capacity, high temperature discharge capacity, charge retention and capacity recovery capability, storage and cycle life; the test content can be divided into a charging unit and a discharging unit, the charging unit and the discharging unit have a sequence, and a holding time exists between the units;
the method for splitting the required test content into the minimum uninterrupted continuous test task process in the test process comprises the following steps:
the power lithium battery module group is divided into m power lithium battery modules, namely m stations are required to be connected into a battery test system, the m stations are subjected to charge and discharge operations only through one test channel, and test contents of each power lithium battery module group can be divided into n i (i belongs to (1, m)) continuous test tasks, the test content of the group of power lithium battery modules is totally split into n = (n) 1 +n 2 +…+n m ) Setting priority test task, setting priority test task sequence at front end, recording test task as P ab A (a is more than or equal to 1 and less than or equal to m) is expressed as the serial number of the power lithium battery module, namely the serial number of the station of the battery system; b is expressed as the internal test serial number of the power lithium battery module, and the test sequence set of the power lithium battery module
The test sequence of the power lithium battery modules in the same station needs to be carried out in sequence, such as task P in the first power lithium battery module 11 Need to be at task P 12 Carrying out the previous step;
setting each continuous test task test time set corresponding to the power lithium battery module test sequence set as
Namely T ab Indicates test run P ab The time of a battery test system is required to be occupied during the test; setting the test waiting time set of each continuous test task corresponding to the test sequence set of the group of power lithium battery modules as ^ greater than or equal to>
I.e. W ab Indicates completion of the test P ab And (4) the power lithium battery module needs to be set aside for a certain time after testing.
5. The multi-station multi-parameter task scheduling method for the power lithium battery module test as claimed in claim 4, wherein in the step C:
let the task test path set be R = { R = 1 ,R 2 ,…,R n }(R j E.g. P, j is more than or equal to 1 and less than or equal to n), the battery testing system tests the group of power lithium battery modules according to the task testing path set, the task testing starting time and the testing ending time are recorded after each testing task is finished, and the testing starting time S is set when the jth task is tested j And end time of test F j The serial number of the tested power lithium battery module is corresponding to P ab Then the power lithium battery module or the station carries out the test start time S corresponding to the test ab And end time of test F ab The calculation formula is as follows:
F ab ＝S ab +T ab
because the power lithium battery module is only charged and discharged through one test channel, when a battery task test is completed at a certain test station, the start time and the end time of the test task at the station are the start time and the end time of the task test on one test channel of the whole battery test system, namely F j ＝F ab ，S j ＝S ab ；
The total test time corresponding to the test path set can be expressed as the test ending time after the last test task of the test path set is completed, i.e. the total test time T t ＝F n ；
When task tests such as low-temperature discharge capacity and high-temperature discharge capacity are carried out, a high-low temperature test box is required to be used for testing the power lithium battery module, the temperature of the test box is set to be in a high-temperature state and a low-temperature state, and a test path is set to concentrate a test task set which needs to adopt high-temperature tests
According to the recorded task test starting time and ending time, the total service time of the high-low temperature test box in the high-temperature test can be calculated
The service time T of the high-low temperature test box during low-temperature test can be calculated by the same method l 。/>
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| CN106650074A (en) * | 2016-12-14 | 2017-05-10 | 桂林电子科技大学 | Catastrophic fault test method for digital microfluidic chip based on genetic ant colony fusion algorithm |
| CN107290642A (en) * | 2017-07-28 | 2017-10-24 | 华南理工大学 | LED light product-derived electrical characteristic parameter multistation multi-parameter comprehensive concurrent testing method and device |
| CN110109822A (en) * | 2019-03-30 | 2019-08-09 | 华南理工大学 | The regression testing method of priorities of test cases sequence is carried out based on ant group algorithm |
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