CN117665684A - Method and device for testing lithium battery state estimation algorithm - Google Patents
Method and device for testing lithium battery state estimation algorithm Download PDFInfo
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Abstract
The invention relates to the technical field of lithium batteries and discloses a method and a device for testing a lithium battery state estimation algorithm. According to the method, a python script program is adopted to read battery standard working condition data acquired by a battery acquisition instrument according to a preset first time interval, single working condition data at a single temperature and working condition data at different temperatures are randomly switched to form combined working condition data, the single working condition data and the combined working condition data are determined to be real-time working condition data, the real-time working condition data are transmitted to a data center station through a modbus protocol according to a preset second time interval, and testing of a lithium battery state estimation algorithm is completed. The invention can improve the debugging efficiency and the testing efficiency of the state estimation algorithm, realize more flexible and accurate algorithm testing and save testing time.
Description
Technical Field
The invention relates to the technical field of lithium batteries, in particular to a method and a device for testing a lithium battery state estimation algorithm.
Background
The lithium battery has high energy density, long cycle life and high safety, and is widely applied in the field of energy storage. In the process of widely applying energy storage, the problem of consistency management of lithium batteries is more remarkable, the energy storage system charges and discharges through the grouped batteries, the function of the grouped batteries is reduced due to the inconsistency of battery capacity, power, service life and the like, and even fire explosion of the deteriorated batteries is caused, so that serious accidents are caused. The consistency problem of battery management is mainly dependent on the accuracy and robustness of the battery state estimation algorithm, which can be said to be the key point of the whole lithium battery energy storage system.
Battery states are divided into long-term and short-term states: short-term states include state of charge (SOC), state of energy (SOE), state of power (SOP), etc., and long-term states include state of health (SOH), state of remaining life (SOL), etc. Short term state estimation algorithms can be computed using shorter time data, while long term state estimation algorithms require computation using longer time data. In order to fit the reality, the algorithm needs to run in a real-time data acquisition and calculation mode as far as possible to ensure the end-to-end availability of the service, so that a problem arises that the long-term state estimation algorithm running result is converged to the target value for too long, and the code debugging and testing efficiency is low.
Taking the estimation of the state of health (SOH) of a battery as an example, a two-point method is commonly used, a section of 30% -70% SOC is adopted to calculate the battery capacity, compared with the initial new battery, the ratio of the capacity of the section is taken as the current alternative SOH, the influence of noise is considered, the value of the section is selected for 4 times, under the condition that the value of the prior SOH is not exceeded and the descending amplitude is not higher than 1.5%, the highest value is taken as the value output of the current SOH, the descending amplitude is higher than 1.5%, the value is taken as the output, the highest value is taken as the output, and the descending amplitude is not higher than 1.5%, because the reason that the SOH is only lowerable along with the time is considered, and the judging requirement on the descending of the current SOH value is relatively strict. Under the condition of the algorithm, even if the battery runs in a state of charge (SOC) interval of 30% -70% each time, the maximum 1.5% reduction of updating can be completed by two charge and discharge cycles, if the SOH estimation result of the 80% attenuation battery is to be tested, 14 cycles (100% -80%)/1.5 are required to be approximately equal to 28 charge and discharge cycles, taking 0.5C constant current charge+standard NEDC working condition discharge as an example, one complete charge and discharge cycle needs approximately 22 hours, and 28 charge and discharge cycles need to be approximately one month. Such a time period presents great difficulties for test debugging of the code.
Disclosure of Invention
The invention provides a method and a device for testing a lithium battery state estimation algorithm, which can improve the debugging efficiency and the testing efficiency of the state estimation algorithm and realize more flexible and accurate algorithm test.
In order to solve the technical problems, the invention provides a testing method of a lithium battery state estimation algorithm, comprising the following steps:
collecting standard working condition data of the battery according to a preset first time interval by using a battery collector; the battery standard working condition data comprise time data, current data, voltage data and temperature data;
reading the standard working condition data of the battery by adopting a python script program, and generating real-time working condition data;
according to a preset second time interval, real-time working condition data are sent to the data center station through a modbus protocol, and testing of a lithium battery state estimation algorithm is completed; wherein the first time interval is a preset multiple of the second time interval.
Further, the adoption of the python script program reads the standard working condition data of the battery and generates real-time working condition data, specifically:
reading the standard working condition data of the battery by adopting a python script program;
forming single working condition data according to the working condition data at a single temperature in the standard working condition data of the battery;
in the standard working condition data of the battery, the working condition data at different temperatures are randomly switched to form combined working condition data;
and determining the single working condition data and the combined working condition data as real-time working condition data.
Further, the collecting battery standard working condition data according to a preset first time interval by using the battery collector further comprises:
and when the battery collector is used for collecting the standard working condition data of the battery according to a preset first time interval, recording the time stamp of the battery collector for collecting the standard working condition data of the battery in real time.
Further, the sending real-time working condition data to the data center station through the modbus protocol according to the preset second time interval specifically includes:
determining a time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time as a transmitting time stamp when the real-time working condition data is transmitted;
determining a second time interval by using the transmission time stamp according to the data transmission requirement;
and sending the real-time working condition data to the data center station through the modbus protocol according to the second time interval.
Further, the sending the real-time working condition data to the data center station through the modbus protocol according to the preset second time interval further includes:
determining the number of the docking devices of the data center station as 1 station; the docking device is a device for sending real-time working condition data.
Further, the battery standard working condition data comprises charging working condition data and discharging working condition data.
The invention provides a testing method of a lithium battery state estimation algorithm, which comprises the steps of adopting a python script program to read standard working condition data of a battery, which is acquired by a battery acquisition instrument according to a preset first time interval, generating single working condition data at a single temperature and forming combined working condition data by randomly switching the working condition data at different temperatures, determining the single working condition data and the combined working condition data as real-time working condition data, and transmitting the real-time working condition data to a data center station through a modbus protocol according to a preset second time interval to finish the testing of the lithium battery state estimation algorithm. The invention can improve the debugging efficiency and the testing efficiency of the state estimation algorithm, realize more flexible and accurate algorithm testing and save testing time.
Correspondingly, the invention provides a testing device of a lithium battery state estimation algorithm, which comprises: the device comprises an acquisition module, a generation module and a sending module;
the acquisition module is used for acquiring standard working condition data of the battery according to a preset first time interval by using the battery acquisition instrument; the battery standard working condition data comprise time data, current data, voltage data and temperature data;
the generation module is used for reading the standard working condition data of the battery by adopting a python script program and generating real-time working condition data;
the sending module is used for sending real-time working condition data to the data center station through a modbus protocol according to a preset second time interval to finish the test of the lithium battery state estimation algorithm; wherein the first time interval is a preset multiple of the second time interval.
Further, the generating module includes: a reading unit, a first forming unit, a second forming unit, and a data determining unit;
the reading unit is used for reading the standard working condition data of the battery by adopting a python script program;
the first forming unit is used for forming single working condition data according to the working condition data at a single temperature in the standard working condition data of the battery;
the second forming unit is used for forming combined working condition data by randomly switching working condition data at different temperatures in the standard working condition data of the battery;
the data determining unit is used for determining that the single working condition data and the combined working condition data are real-time working condition data.
Further, the acquisition module includes: a time stamp recording unit;
the time stamp recording unit is used for recording the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time when the battery acquisition instrument is used for acquiring the battery standard working condition data according to a preset first time interval.
Further, the sending module includes: a time stamp determining unit, a time interval determining unit and a time transmitting unit;
the time stamp determining unit is used for determining the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time as the transmitting time stamp when the real-time working condition data is transmitted;
the time interval determining unit is used for determining a second time interval by utilizing the transmission time stamp according to the data transmission requirement;
and the time sending unit is used for sending the real-time working condition data to the data center station through the modbus protocol according to the second time interval.
The invention provides a testing device of a lithium battery state estimation algorithm, which is based on organic combination among modules, and adopts a python script program to read battery standard working condition data acquired by a battery acquisition instrument according to a preset first time interval, single working condition data at a single temperature are generated, combined working condition data are formed by randomly switching working condition data at different temperatures, the single working condition data and the combined working condition data are determined to be real-time working condition data, the real-time working condition data are transmitted to a data center station through a modbus protocol according to a preset second time interval, and testing of the lithium battery state estimation algorithm is completed. The invention can improve the debugging efficiency and the testing efficiency of the state estimation algorithm, realize more flexible and accurate algorithm testing and save testing time.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a testing method of a lithium battery state estimation algorithm provided by the present invention;
FIG. 2 is a schematic diagram of a data center station according to the present invention;
fig. 3 is a schematic structural diagram of an embodiment of a testing device for a lithium battery state estimation algorithm according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, a flow chart of an embodiment of a testing method of a lithium battery state estimation algorithm provided by the present invention is shown, where the method includes steps 101 to 103, and the steps are specifically as follows:
step 101: collecting standard working condition data of the battery according to a preset first time interval by using a battery collector; the battery standard working condition data comprise time data, current data, voltage data and temperature data.
Further, in the first embodiment of the present invention, the battery standard operating condition data includes charging operating condition data and discharging operating condition data.
In the first embodiment of the invention, the battery standard working condition data can be collected through the battery collector, and the battery standard working condition data comprises four dimensions of time, current, voltage and temperature, and can be sampled at a first time interval of 200 ms. The collected standard working condition data of the battery comprise charging working condition data and discharging working condition data under various temperatures, such as constant current charging working conditions under 15 degrees, 25 degrees and 35 degrees, NEDC discharging working conditions under 15 degrees, 25 degrees and 35 degrees, and the like.
Further, in the first embodiment of the present invention, the battery collecting device collects the standard working condition data of the battery according to the preset first time interval, and further includes:
and when the battery collector is used for collecting the standard working condition data of the battery according to a preset first time interval, recording the time stamp of the battery collector for collecting the standard working condition data of the battery in real time.
In the first embodiment of the present invention, after the working condition data is collected, the method adopted when the working condition data is sent to the data center station is to simulate the battery controller device BC to send the data. The invention is different from the BC device sending data in time processing, and the actual BC device generates a time stamp according to the current time when sending the collected data; the invention does not use the time of the current python script to run the computer to generate the time stamp, but uses the time stamp of the battery standard working condition data collected by the battery acquisition instrument in real time as the sending time stamp, thereby realizing the adjustment of the sending frequency according to the data sending requirement. Therefore, when the battery collector is used for collecting the standard working condition data of the battery, the time stamp for collecting the standard working condition data of the battery in real time needs to be recorded simultaneously.
Step 102: and reading the standard working condition data of the battery by adopting a python script program, and generating real-time working condition data.
Further, in the first embodiment of the present invention, a python script program is used to read the standard working condition data of the battery and generate real-time working condition data, specifically:
reading the standard working condition data of the battery by adopting a python script program;
forming single working condition data according to the working condition data at a single temperature in the standard working condition data of the battery;
in the standard working condition data of the battery, the working condition data at different temperatures are randomly switched to form combined working condition data;
and determining the single working condition data and the combined working condition data as real-time working condition data.
In a first embodiment of the present invention, the battery standard operating mode data may be read by the python script program to generate real-time operating mode data. The method comprises the steps of directly reading working condition data under a single temperature in standard working condition data of the battery, forming single working condition data, and testing a state estimation algorithm when certain working conditions are circulated and fully charged and discharged. However, the working conditions of the battery in actual operation are randomly combined, namely, the temperature is randomly changed, the charge and discharge curves are also randomly changed, and the battery is not constantly fully charged and discharged under a certain working condition in a circulating way at a certain temperature. Therefore, after the standard working condition data of the battery are read, the working condition data at different temperatures can be randomly switched to form combined working condition data, so that the test of the state estimation algorithm in the random running process of the non-full-charge and full-discharge of various working conditions is realized.
As an example of the first embodiment of the present invention, the python script program can implement flexible combination of working condition data at the near point of the SOC of the middle section of the standard working condition data of the battery, for example, when 15 degrees of constant current working condition is charged to the SOC 20% point, it is switched to the SOC 20% point of the stage of 25 degrees of constant current charging working condition, and then continuously charged to 90%, and then switched to 35 degrees of NEDC discharging working condition, etc., so as to simulate the internal and external environment where the actual operation of the battery is changeable, and implement more flexible and accurate data test.
Step 103: according to a preset second time interval, real-time working condition data are sent to the data center station through a modbus protocol, and testing of a lithium battery state estimation algorithm is completed; wherein the first time interval is a preset multiple of the second time interval.
Further, in the first embodiment of the present invention, the sending of the real-time working condition data to the data center station through the modbus protocol according to the preset second time interval is specifically:
determining a time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time as a transmitting time stamp when the real-time working condition data is transmitted;
determining a second time interval by using the transmission time stamp according to the data transmission requirement;
and sending the real-time working condition data to the data center station through the modbus protocol according to the second time interval.
In the first embodiment of the invention, the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time is determined as the transmission time stamp, the transmission frequency can be adjusted by determining the second time interval of the transmission data on the transmission time stamp so as to meet the data transmission requirement for data test, and the real-time working condition data is transmitted to the data center station according to the second time interval, so that the test of the lithium battery state estimation algorithm can be realized.
As an example of the first embodiment of the present invention, the first time interval is set to be 200ms, and the first time interval is set to be 10ms, that is, samples with a duration of 200ms are sent in a time interval of 10ms, so that the sending speed can be increased by 20 times, and the required duration can be calculated by the state estimation algorithm.
Further, in the first embodiment of the present invention, the sending of the real-time working condition data to the data center station through the modbus protocol according to the preset second time interval is specifically:
determining the number of the docking devices of the data center station as 1 station; the docking device is a device for sending real-time working condition data.
In the first embodiment of the present invention, referring to fig. 2, which is a schematic diagram of a data center station provided by the present invention, since a first time interval for collecting data is a preset multiple of a second time interval for transmitting data, a transmission frequency of transmitting data is greatly increased, and in order to avoid a crash of the data center station caused by a speed increase, the number of devices originally docked with the data center station is modified to 1 station, so as to ensure safety of data transmission.
In summary, the first embodiment of the invention provides a testing method of a lithium battery state estimation algorithm, which adopts a python script program to read battery standard working condition data acquired by a battery acquisition instrument according to a preset first time interval, generates single working condition data at a single temperature and forms combined working condition data by randomly switching working condition data at different temperatures, determines the single working condition data and the combined working condition data as real-time working condition data, and sends the real-time working condition data to a data center station through a modbus protocol according to a preset second time interval to complete the testing of the lithium battery state estimation algorithm. The invention can improve the debugging efficiency and the testing efficiency of the state estimation algorithm, realize more flexible and accurate algorithm testing and save testing time.
Example 2
Referring to fig. 3, a schematic structural diagram of an embodiment of a testing device for a lithium battery state estimation algorithm provided by the present invention includes an acquisition module 201, a generation module 202, and a transmission module 203;
the acquisition module 201 is used for acquiring standard working condition data of the battery according to a preset first time interval by using a battery acquisition instrument; the battery standard working condition data comprise time data, current data, voltage data and temperature data;
the generating module 202 is configured to read the standard working condition data of the battery by using a python script program, and generate real-time working condition data;
the sending module 203 is configured to send real-time working condition data to the data center station through a modbus protocol according to a preset second time interval, so as to complete a test of a lithium battery state estimation algorithm; wherein the first time interval is a preset multiple of the second time interval.
Further, in the second embodiment of the present invention, the generating module 202 includes: a reading unit, a first forming unit, a second forming unit, and a data determining unit;
the reading unit is used for reading the standard working condition data of the battery by adopting a python script program;
the first forming unit is used for forming single working condition data according to the working condition data at a single temperature in the standard working condition data of the battery;
the second forming unit is used for forming combined working condition data by randomly switching working condition data at different temperatures in the standard working condition data of the battery;
the data determining unit is used for determining the single working condition data and the combined working condition data to be real-time working condition data.
Further, in the second embodiment of the present invention, the acquisition module 201 includes: a time stamp recording unit;
the time stamp recording unit is used for recording the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time when the battery acquisition instrument is used for acquiring the battery standard working condition data according to a preset first time interval.
Further, in the second embodiment of the present invention, the transmitting module 203 includes: a time stamp determining unit, a time interval determining unit and a time transmitting unit;
the time stamp determining unit is used for determining the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time as the transmitting time stamp when the real-time working condition data is transmitted;
the time interval determining unit is used for determining a second time interval by utilizing the transmission time stamp according to the data transmission requirement;
and the time sending unit is used for sending the real-time working condition data to the data center station through the modbus protocol according to the second time interval.
Further, in the second embodiment of the present invention, the sending module 203 further includes: a device number determination unit;
the equipment number determining unit is used for determining the number of the docking equipment of the data center station as 1 station; the docking device is a device for sending real-time working condition data.
Further, in the second embodiment of the present invention, the battery standard operating condition data includes charging operating condition data and discharging operating condition data.
In summary, the second embodiment of the invention provides a testing device for a lithium battery state estimation algorithm, which is based on the organic combination among modules, and adopts a python script program to read battery standard working condition data acquired by a battery acquisition instrument according to a preset first time interval, generates single working condition data at a single temperature and forms combined working condition data by randomly switching working condition data at different temperatures, determines the single working condition data and the combined working condition data as real-time working condition data, and sends the real-time working condition data to a data center station through a modbus protocol according to a preset second time interval to complete the testing of the lithium battery state estimation algorithm. The invention can improve the debugging efficiency and the testing efficiency of the state estimation algorithm, realize more flexible and accurate algorithm testing and save testing time.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. The method for testing the lithium battery state estimation algorithm is characterized by comprising the following steps of:
collecting standard working condition data of the battery according to a preset first time interval by using a battery collector; the battery standard working condition data comprise time data, current data, voltage data and temperature data;
reading the standard working condition data of the battery by adopting a python script program, and generating real-time working condition data;
according to a preset second time interval, real-time working condition data are sent to the data center station through a modbus protocol, and testing of a lithium battery state estimation algorithm is completed; wherein the first time interval is a preset multiple of the second time interval.
2. The method for testing a state estimation algorithm of a lithium battery according to claim 1, wherein the adopting a python script program reads the standard working condition data of the battery and generates real-time working condition data, specifically:
reading the standard working condition data of the battery by adopting a python script program;
forming single working condition data according to the working condition data at a single temperature in the standard working condition data of the battery;
in the standard working condition data of the battery, the working condition data at different temperatures are randomly switched to form combined working condition data;
and determining the single working condition data and the combined working condition data as real-time working condition data.
3. The method for testing a state estimation algorithm of a lithium battery according to claim 1, wherein the collecting standard working condition data of the battery by using a battery collector according to a preset first time interval, further comprises:
and when the battery collector is used for collecting the standard working condition data of the battery according to a preset first time interval, recording the time stamp of the battery collector for collecting the standard working condition data of the battery in real time.
4. The method for testing the lithium battery state estimation algorithm according to claim 3, wherein the sending real-time working condition data to the data center station through a modbus protocol according to the preset second time interval specifically includes:
determining a time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time as a transmitting time stamp when the real-time working condition data is transmitted;
determining a second time interval by using the transmission time stamp according to the data transmission requirement;
and sending the real-time working condition data to the data center station through the modbus protocol according to the second time interval.
5. The method for testing a lithium battery state estimation algorithm according to claim 1, wherein the sending real-time working condition data to the data center station through a modbus protocol according to a preset second time interval further comprises:
determining the number of the docking devices of the data center station as 1 station; the docking device is a device for sending real-time working condition data.
6. The method of claim 1, wherein the battery standard operating condition data comprises charge operating condition data and discharge operating condition data.
7. A testing device for a lithium battery state estimation algorithm, comprising: the device comprises an acquisition module, a generation module and a sending module;
the acquisition module is used for acquiring standard working condition data of the battery according to a preset first time interval by using the battery acquisition instrument; the battery standard working condition data comprise time data, current data, voltage data and temperature data;
the generation module is used for reading the standard working condition data of the battery by adopting a python script program and generating real-time working condition data;
the sending module is used for sending real-time working condition data to the data center station through a modbus protocol according to a preset second time interval to finish the test of the lithium battery state estimation algorithm; wherein the first time interval is a preset multiple of the second time interval.
8. The apparatus according to claim 7, wherein the generating module includes: a reading unit, a first forming unit, a second forming unit, and a data determining unit;
the reading unit is used for reading the standard working condition data of the battery by adopting a python script program;
the first forming unit is used for forming single working condition data according to the working condition data at a single temperature in the standard working condition data of the battery;
the second forming unit is used for forming combined working condition data by randomly switching working condition data at different temperatures in the standard working condition data of the battery;
the data determining unit is used for determining that the single working condition data and the combined working condition data are real-time working condition data.
9. The device for testing a state estimation algorithm of a lithium battery according to claim 7, wherein the acquisition module comprises: a time stamp recording unit;
the time stamp recording unit is used for recording the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time when the battery acquisition instrument is used for acquiring the battery standard working condition data according to a preset first time interval.
10. The apparatus according to claim 9, wherein the transmitting module includes: a time stamp determining unit, a time interval determining unit and a time transmitting unit;
the time stamp determining unit is used for determining the time stamp of the battery standard working condition data acquired by the battery acquisition instrument in real time as the transmitting time stamp when the real-time working condition data is transmitted;
the time interval determining unit is used for determining a second time interval by utilizing the transmission time stamp according to the data transmission requirement;
and the time sending unit is used for sending the real-time working condition data to the data center station through the modbus protocol according to the second time interval.
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| CN114420983A (en) * | 2022-03-31 | 2022-04-29 | 北京英博新能源有限公司 | Method, device and system for evaluating health of fuel cell stack and electronic equipment |
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