CN110780140A - Battery management system testing method for energy storage power station - Google Patents

Battery management system testing method for energy storage power station Download PDF

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CN110780140A
CN110780140A CN201911110349.XA CN201911110349A CN110780140A CN 110780140 A CN110780140 A CN 110780140A CN 201911110349 A CN201911110349 A CN 201911110349A CN 110780140 A CN110780140 A CN 110780140A
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battery
management system
battery management
value
state
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韩华春
史明明
孙金磊
吕振华
李强
费骏韬
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State Grid Corp of China SGCC
Nanjing Tech University
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
Nanjing Tech University
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract

The invention discloses a method for testing a battery management system of an energy storage power station, which aims to solve the technical problem of measurement of the battery management system in the energy storage power station. The invention provides a hardware system test platform which is used for testing and verifying the basic parameter measurement precision, the state of charge estimation precision, the state of health estimation precision, the electric quantity balancing function and the fault diagnosis function of the battery management system of the energy storage power station, so that more comprehensive test data of the battery management system of the energy storage power station are obtained.

Description

Battery management system testing method for energy storage power station
Technical Field
The invention relates to the field of battery management system testing, in particular to a management system testing method for a battery of an energy storage power station.
Background
In recent years, with the continuous development of lithium ion battery technology, the steps of pursuing batteries with high energy density, high power density and long endurance capacity are never stopped, and with the wide application of large-scale energy storage systems in the power service fields of power transmission, power generation, power distribution, power utilization and the like, the safety of the large-scale energy storage systems is receiving more and more attention from various circles. Bms is an indispensable component of Battery energy storage systems, and undertakes tasks such as Battery operating state monitoring, fault diagnosis, fault early warning, safety protection, energy management, and balancing. The quality of the BMS determines the safety and reliability of the battery energy storage system to a certain extent. However, most of the current BMS testing standards are limited to BMSs of electric vehicles, and complete BMS related testing methods of battery energy storage power stations are lacked.
Disclosure of Invention
In order to solve the problems that the existing battery management system test method is mostly used for electric automobiles and a special test method for an energy storage power station BMS is lacked, the invention aims to provide the management system test method for the batteries of the energy storage power station.
In order to achieve the purpose, the invention provides a management system testing method for a battery of an energy storage power station. The hardware system test platform is used for simulating the charge-discharge characteristics of a real battery, providing a simulated battery monomer or a battery system used in an experiment in the test process, testing and verifying the voltage measurement precision, the current measurement precision, the temperature measurement precision, the SOC estimation precision, the SOH estimation precision, the electric quantity balancing function and the fault diagnosis function of the battery management system of the energy storage power station, and obtaining comprehensive test data.
A test method for a battery management system of an energy storage power station is characterized in that a hardware system test platform is utilized to test and verify the basic parameter measurement precision, the state of charge estimation precision, the state of health estimation precision, the electric quantity balancing function and the fault diagnosis function of the battery management system of the energy storage power station, and test data of the battery management system of the energy storage power station are obtained.
Furthermore, the hardware system test platform is used for simulating the charge-discharge characteristics of a real battery and providing a simulated battery monomer or a battery system for experiments in the test process.
Further, the basic parameter measurement accuracy comprises voltage measurement accuracy, current measurement accuracy and temperature measurement accuracy.
Further, the basic parameter measurement accuracy comprises the following measurement steps:
1) the hardware system test platform provides voltage U 0The battery or the battery pack records that the voltage of the battery or the battery pack reported by the battery management system is U 1The voltage measurement accuracy of the battery management system to the battery or the battery pack is (U) 1-U 0)/U 0×100％；
2) The hardware system test platform provides voltage U 0And constant current I is applied to the battery or the battery pack 0Discharging operation, recording the discharge current I of the battery or the battery pack reported by the battery management system 1Then the current measurement accuracy of the battery management system is (I) 1-I 0)/I 0×100％；
3) The hardware system test platform provides voltage U 0Setting the temperature of the battery or battery pack to T 0Recording the temperature T reported by the battery management system 1The temperature measurement accuracy of the battery management system is (T) 1-T 0)/T 0×100％。
Further, the state of charge estimation accuracy comprises the following testing steps:
1) setting the current state of charge value of the simulation battery system to be SOC through the hardware test platform 0；
2) Recording the current reported state of charge value of the battery management system and recording as SOC c0；
3) Performing appointed charging and discharging operation on the analog battery system, recording the current state of charge value of the analog battery system reported by the hardware test platform, and recording the current state of charge value as SOC 1；
4) Recording the current reported state of charge value of the battery management system and recording as SOC c1；
5) The SOC estimation accuracy of the battery management system is the average of the two measurement accuracies,
(|SOC c0-SOC 0|/SOC 0+|SOC c1-SOC 1|/SOC 1)/2×100％。
further, the health state estimation accuracy is calculated by the number of times of battery cycle charging and discharging.
Further, when the estimation accuracy of the state of health of the battery is calculated according to the number of times of the battery cycle charging and discharging, the specific test steps are as follows:
1) setting the current state of health value of the simulation battery to SOH through the hardware test platform 0Estimating the current state of health value of the battery by a battery management system, and recording the current state of health value as SOH c0；
2) According to the standard charging and discharging method of the battery, the analog battery system is charged and discharged N times in a circulating mode, N is a positive integer and is not more than NxSOH 0And N is the rated charge and discharge times of the analog battery system, and the current state of health value of the analog battery system reported by the hardware test platform is recorded and recorded as SOH 1；
3) Estimating the current state of health value of the battery by a battery management system, and recording the current state of health value as SOH c1；
4) The state of health estimation accuracy of the battery management system is the average value of two measurement accuracies,
(|SOH c0-SOH 0|/SOH 0+|SOH c1-SOH 1|/SOH 1)/2×100％。
further, the electric quantity balancing function comprises the following testing steps:
1) setting the SOC values of all m simulation battery monomers through a hardware test platform 0Wherein m is more than or equal to 6;
3) 3 of the batteries are subjected to charging operation of different degrees, and the other 3 of the batteries are subjected to discharging operation of different degrees, so that the single charge state values of the 6 simulation batteries are different;
4) connecting all the single batteries into a battery pack which is connected with a battery management system;
5) charging the battery pack to a full charge state through a battery management system;
6) recording the current electric quantity of each analog battery as Q through a hardware test platform 1，Q 2，Q 3，…Q mThe difference in the state of charge of the battery pack is
Figure BDA0002272525920000031
Further, the fault diagnosis function, the test content is as follows:
1) setting the temperature value of the simulated battery or the battery pack to be higher than the set upper temperature limit value through the hardware test platform, and checking whether the battery management system reports the fault or not; setting the temperature value of the simulated battery or the battery pack to be lower than the set temperature lower limit value, and checking whether the battery management system reports the fault or not;
2) setting the voltage value of the simulated battery or the battery pack to be higher than the set voltage upper limit value through the hardware test platform, and checking whether the battery management system reports the fault; setting the voltage value of the analog battery or the battery pack to be lower than the lower limit value of the set voltage, and checking whether the battery management system reports the fault;
3) setting the current value flowing through the simulation battery or the battery pack to be higher than the set current upper limit value through the hardware test platform, and checking whether the battery management system reports the fault or not; setting the current value flowing through the simulation battery or the battery pack to be lower than the lower limit value of the set current, and checking whether the battery management system reports the fault or not;
4) setting the state of charge value of the analog battery or the battery pack to be higher than the upper limit of the state of charge alarm value through the hardware test platform, and checking whether the battery management system reports the fault; setting the state of charge value of the analog battery or the battery pack to be lower than the lower limit of the state of charge alarm value, and checking whether the battery management system reports the fault;
5) setting the health state value of the simulated battery or the battery pack to be lower than the health state lower limit alarm value through a hardware test platform, and checking whether the battery management system reports the fault or not;
and evaluating the fault diagnosis function of the battery management system through the reaction condition of the battery management system.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a battery management system testing method for an energy storage power station, which solves the problems that most of the existing battery management system testing methods are used for electric automobiles and a special testing method for the energy storage power station is lacked, and the main difference between the existing battery management system testing methods is different application occasions and different battery pack voltage grades. The application object of the invention is a battery management system in an energy storage power station, and the invention pertinently provides test verification of a special test method on the measurement precision of basic parameters, the SOC estimation precision, the SOH estimation function, the electric quantity equalization function and the fault diagnosis function, so that the test result is more comprehensive. If the test method for the battery management system of the electric automobile is adopted to perform the function test on the battery management system for the energy storage power station, the test method is not targeted, and the test result is not comprehensive enough. Therefore, the battery management system testing method for the energy storage power station can fill the gap, test the battery management system for the energy storage power station in a targeted manner, and obtain a relatively comprehensive testing result.
Drawings
Fig. 1 is a BMS testing flowchart.
Detailed Description
The following examples are provided to illustrate the present invention in more detail for the purpose of understanding, but the application and scope of the present invention are not limited thereto.
The invention relates to a method for testing a battery management system of an energy storage power station, which utilizes a hardware system test platform to test and verify the measurement precision of basic parameters, the estimation precision of State of Charge (SOC), the estimation precision of State of Health (SOH), the electric quantity balancing function and the fault diagnosis function of the battery management system of the energy storage power station, thereby obtaining more comprehensive test data.
The hardware system test platform can simulate the charge and discharge characteristics of a real battery and provide a simulated battery monomer or a battery system for experiments in the test process.
And measuring the basic parameters including voltage measuring accuracy, current measuring accuracy and temperature measuring accuracy.
Measuring and recording the measurement accuracy of basic parameters of the battery management system by the following steps:
1) the hardware system test platform provides voltage U 0The battery (pack) records that the voltage of the battery (pack) reported by the BMS is U 1The BMS measures the voltage of the battery (pack) with a precision of (U) 1-U 0)/U 0×100％；
2) The hardware system test platform provides voltage U 0And constant current I is applied to the battery (group) 0Discharging operation, recording the discharge current I of the battery (pack) reported by BMS 1The current measurement accuracy of the BMS is (I) 1-I 0)/I 0×100％；
3) The hardware system test platform provides voltage U 0The battery (pack) temperature is set to be T 0And recording the temperature T of the battery (pack) reported by the BMS 1The temperature measurement accuracy of the BMS is then (T) 1-T 0)/T 0×100％；
Measuring and recording the SOC estimation accuracy of the battery management system by the following steps:
1) setting the current SOC value of the simulation battery system as SOC through the hardware test platform 0；
2) RecordingThe SOC value reported by BMS is recorded as SOC c0；
3) Performing appointed charging and discharging operation (such as FUDS working condition) on the analog battery system, recording the current SOC value of the analog battery system reported by the hardware test platform, and recording as the SOC 1；
4) Recording the current reported SOC value of BMS and recording as SOC c1；
5) The SOC estimation accuracy of the BMS is considered to be an average of the two measurement accuracies as shown in the following equation.
(|SOC c0-SOC 0|/SOC 0+|SOC c1-SOC 1|/SOC 1)/2×100％
Thereby evaluating the SOC estimation accuracy of the BMS.
Measuring and recording the SOH estimation accuracy of the battery management system by the following steps:
1) setting the current SOH value of the simulation battery to be SOH through the hardware test platform 0Estimating the current SOH value of the battery by BMS and recording the current SOH value as SOH c0；
2) According to the standard charging and discharging method of the battery, the analog battery system is charged and discharged N times in a circulating manner (N is a positive integer and is not more than NxSOH) 0And N is the rated charge and discharge times of the analog battery system), recording the current SOH value of the analog battery system reported by the hardware test platform, and recording as SOH 1；
3) The BMS estimates the current SOH value of the battery and records the current SOH value as SOH c1；
4) The SOH estimation accuracy of the BMS is considered to be the average of the two measurement accuracies as shown in the following equation.
(|SOH c0-SOH 0|/SOH 0+|SOH c1-SOH 1|/SOH 1)/2×100％
Thereby evaluating SOH estimation accuracy of the BMS.
The method comprises the following steps of measuring and recording the electric quantity balancing function of the battery management system:
1) setting SOC values of m (m is more than or equal to 6) simulation battery monomers to be SOC through a hardware test platform 0；
3) Charging 3 batteries in the battery pack to different degrees, and discharging 3 batteries in the battery pack to different degrees, so that SOC values of 6 simulation battery monomers in the battery pack are different;
4) connecting all the single batteries into a battery pack, and connecting the battery pack with the BMS;
5) charging the battery pack to a full state through the BMS;
6) recording the current electric quantity of each analog battery as Q through a hardware test platform 1，Q 2，Q 3，…Q mThen the difference in SOC of the battery pack is
Figure BDA0002272525920000051
Thereby evaluating the power balance of the BMS.
The test verifies the fault diagnosis function of the battery management system, and the test contents are as follows:
1) setting the temperature value of the simulated battery (pack) to be higher than a set upper limit value n (if n is 1) through a hardware test platform, and checking whether the BMS reports the fault or not; setting the temperature value of the simulated battery (pack) to be lower than a set lower limit value n (if n is 1), and checking whether the BMS reports the fault or not;
2) setting the voltage value of the simulated battery (pack) to be higher than a set upper limit value n V (if n is 0.2) through a hardware test platform, and checking whether the BMS reports the fault; setting the voltage value of the analog battery (pack) to be lower than a set lower limit value n V (if n is 0.2), and checking whether the BMS reports the fault;
3) setting the current value flowing through the simulated battery (pack) to be higher than a set upper limit value n A (if n is 0.2) through a hardware test platform, and checking whether the BMS reports the fault or not; setting the current value flowing through the simulated battery (pack) to be lower than a set lower limit value n A (if n is 0.2), and checking whether the BMS reports the fault or not;
4) setting the SOC value of the simulated battery (pack) to be higher than the upper limit alarm value n% (if n is 1) through a hardware test platform, and checking whether the BMS reports the fault or not; setting the SOC value of the simulation battery (pack) to be lower than the lower limit alarm value n% (if n is 1), and checking whether the BMS reports the fault or not;
5) setting the SOH value of the simulation battery (pack) to be lower than the lower limit alarm value n% (if n is 1) through a hardware test platform, and checking whether the BMS reports the fault or not;
and evaluating the fault diagnosis function of the BMS according to the reaction condition of the BMS.
Example 1
The invention will be explained by taking the measurement of the SOC estimation accuracy of the battery management system as an example. Measuring and recording the SOC estimation accuracy of the battery management system by the following steps:
1) setting the current SOC value of the simulation battery system as SOC through the hardware test platform 0；
2) Recording the current reported SOC value of BMS and recording as SOC c0；
3) The analog battery system was operated as follows: discharging at constant current of 1C multiplying power for 30min, standing for 30min, charging at constant current of 1C multiplying power for 15min, standing for 30min, discharging at constant current of 1C multiplying power for 30min, standing for 30min, charging at constant current of 1C multiplying power for 15min, and standing for 30 min. Recording the current SOC value of the simulation battery system reported by the hardware test platform, and recording as the SOC 1；
4) Recording the current reported SOC value of BMS and recording as SOC c1；
5) The SOC estimation accuracy of the BMS is considered to be an average of the two measurement accuracies as shown in the following equation.
(|SOC c0-SOC 0|/SOC 0+|SOC c1-SOC 1|/SOC 1)/2×100％
Thereby evaluating the SOC estimation accuracy of the BMS.
Example 2
The present embodiment takes the SOC estimation accuracy of the battery management system as an example, and tests and verifies the related functions of the battery management system, where the battery to be tested is WTM32650, and the specific parameters are as follows.
TABLE 1 specific parameters of the battery under test
Parameter(s) Numerical value
Rated capacity (Ah) 5
Standard charging current (A) 1
Discharge cutoff voltage (V) 2.75
Standard discharge current (A) 1
Charging cut-off voltage (V) 3.65
The specific test steps are as follows:
1) setting the current SOC value of the simulation battery system to be 100 percent through the hardware test platform, and recording the current SOC value as the SOC 0；
2) Recording the SOC value reported by BMS at present as 98.6%, and recording as SOC c0；
3) The analog battery system was operated as follows: discharging at constant current 5A for 30min, standing for 30min, charging at constant current 5A for 15min, standing for 30min, discharging at constant current 5A for 30min, standing for 30min, charging at constant current 5A for 15min, and standing for 30 min. Recording the current SOC value of the simulation battery system reported by the hardware test platform as 49.8 percent and recording as SOC 1；
4) Recording the SOC value reported by BMS at present as 47.3 percent and recording as SOC c1；
5) The SOC estimation accuracy of the BMS is considered to be an average of the two measurement accuracies as shown in the following equation.
(|SOC c0-SOC 0|/SOC 0+|SOC c1-SOC 1|/SOC 1)/2×100％
The SOC estimation accuracy is calculated to be 3.21%, and the SOC estimation accuracy of the BMS is thus estimated.

Claims (9)

1. A method for testing a battery management system of an energy storage power station is characterized in that a hardware system test platform is used for testing and verifying the measurement precision, the state of charge estimation precision, the state of health estimation precision, the electric quantity balancing function and the fault diagnosis function of basic parameters of the battery management system of the energy storage power station, and test data of the battery management system of the energy storage power station are obtained.
2. The method as claimed in claim 1, wherein the hardware system test platform is configured to simulate the charging and discharging characteristics of a real battery, and provide a simulated battery cell or a battery system for an experiment during the test.
3. The battery management system testing method for the energy storage power station as claimed in claim 1, wherein the basic parameter measurement accuracy comprises voltage measurement accuracy, current measurement accuracy and temperature measurement accuracy.
4. The method for testing the battery management system of the energy storage power station as claimed in claim 1 or 3, wherein the basic parameter is measured with the following accuracy:
1) the hardware system test platform provides voltage U 0The battery or the battery pack records that the voltage of the battery or the battery pack reported by the battery management system is U 1The voltage measurement accuracy of the battery management system to the battery or the battery pack is (U) 1-U 0)/U 0×100％；
2) The hardware system test platform provides voltage U 0And constant current I is applied to the battery or the battery pack 0Discharging operation, recording the discharge current I of the battery or the battery pack reported by the battery management system 1Then the current measurement accuracy of the battery management system is (I) 1-I 0)/I 0×100％；
3) The hardware system test platform provides voltage U 0Setting the temperature of the battery or battery pack to T 0Recording the temperature T reported by the battery management system 1The temperature measurement accuracy of the battery management system is (T) 1-T 0)/T 0×100％。
5. The method for testing the battery management system of the energy storage power station as claimed in claim 1, wherein the step of testing the state of charge estimation accuracy is as follows:
1) setting the current state of charge value of the simulation battery system to be SOC through the hardware test platform 0；
2) Recording the current reported state of charge value of the battery management system and recording as SOC c0；
3) Performing appointed charging and discharging operation on the analog battery system, recording the current state of charge value of the analog battery system reported by the hardware test platform, and recording the current state of charge value as SOC 1；
4) Recording the current reported state of charge value of the battery management system and recording as SOC c1；
5) The SOC estimation accuracy of the battery management system is the average of the two measurement accuracies,
(|SOC c0-SOC 0|/SOC 0+|SOC c1-SOC 1|/SOC 1)/2×100％。
6. the method of claim 1 wherein the state of health estimation accuracy is calculated from the number of battery cycles.
7. The method for testing the battery management system of the energy storage power station as claimed in claim 6, wherein when the estimation accuracy of the battery state of health is calculated according to the number of battery cycles, the specific testing steps are as follows:
1) by passingThe hardware test platform sets the current state of health value of the simulation battery as SOH 0Estimating the current state of health value of the battery by a battery management system, and recording the current state of health value as SOH c0；
2) According to the standard charging and discharging method of the battery, the analog battery system is charged and discharged N times in a circulating mode, N is a positive integer and is not more than NxSOH 0And N is the rated charge and discharge times of the analog battery system, and the current state of health value of the analog battery system reported by the hardware test platform is recorded and recorded as SOH 1；
3) Estimating the current state of health value of the battery by a battery management system, and recording the current state of health value as SOH c1；
4) The state of health estimation accuracy of the battery management system is the average value of two measurement accuracies,
(|SOH c0-SOH 0|/SOH 0+|SOH c1-SOH 1|/SOH 1)/2×100％。
8. the method for testing the battery management system of the energy storage power station as claimed in claim 1, wherein the step of testing the capacity balancing function is as follows:
1) setting the SOC values of all m simulation battery monomers through a hardware test platform 0Wherein m is more than or equal to 6;
3) 3 of the batteries are subjected to charging operation of different degrees, and the other 3 of the batteries are subjected to discharging operation of different degrees, so that the single charge state values of the 6 simulation batteries are different;
4) connecting all the single batteries into a battery pack which is connected with a battery management system;
5) charging the battery pack to a full charge state through a battery management system;
6) recording the current electric quantity of each analog battery as Q through a hardware test platform 1，Q 2，Q 3，…Q mThe difference in the state of charge of the battery pack is
9. The method for testing the battery management system of the energy storage power station as claimed in claim 1, wherein the fault diagnosis function comprises the following test contents:
1) setting the temperature value of the simulated battery or the battery pack to be higher than the set upper temperature limit value through the hardware test platform, and checking whether the battery management system reports the fault or not; setting the temperature value of the simulated battery or the battery pack to be lower than the set temperature lower limit value, and checking whether the battery management system reports the fault or not;
2) setting the voltage value of the simulated battery or the battery pack to be higher than the set voltage upper limit value through the hardware test platform, and checking whether the battery management system reports the fault; setting the voltage value of the analog battery or the battery pack to be lower than the lower limit value of the set voltage, and checking whether the battery management system reports the fault;
3) setting the current value flowing through the simulation battery or the battery pack to be higher than the set current upper limit value through the hardware test platform, and checking whether the battery management system reports the fault or not; setting the current value flowing through the simulation battery or the battery pack to be lower than the lower limit value of the set current, and checking whether the battery management system reports the fault or not;
4) setting the state of charge value of the analog battery or the battery pack to be higher than the upper limit of the state of charge alarm value through the hardware test platform, and checking whether the battery management system reports the fault; setting the state of charge value of the analog battery or the battery pack to be lower than the lower limit of the state of charge alarm value, and checking whether the battery management system reports the fault;
5) setting the health state value of the simulated battery or the battery pack to be lower than the health state lower limit alarm value through a hardware test platform, and checking whether the battery management system reports the fault or not;
and evaluating the fault diagnosis function of the battery management system through the reaction condition of the battery management system.
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CN108398611A (en) * 2018-05-10 2018-08-14 中航锂电技术研究院有限公司 Function test system based on minimum battery management system and its test method

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CN111490273A (en) * 2020-04-17 2020-08-04 湖北中钒储能科技有限公司 Energy efficiency testing method for all-vanadium redox flow battery energy storage power station
CN111880109A (en) * 2020-05-29 2020-11-03 合肥国轩高科动力能源有限公司 Method and system for testing passive equalization function of battery management system of electric vehicle
CN112540296A (en) * 2020-12-01 2021-03-23 南方电网调峰调频发电有限公司 Performance evaluation system for power station battery system

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