CN113466722B - Method and device for determining measurement accuracy of battery state of charge and electronic equipment - Google Patents
Method and device for determining measurement accuracy of battery state of charge and electronic equipment Download PDFInfo
- Publication number
- CN113466722B CN113466722B CN202010245863.0A CN202010245863A CN113466722B CN 113466722 B CN113466722 B CN 113466722B CN 202010245863 A CN202010245863 A CN 202010245863A CN 113466722 B CN113466722 B CN 113466722B
- Authority
- CN
- China
- Prior art keywords
- value
- charge
- battery
- state
- error value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The disclosure relates to a method and a device for determining measurement accuracy of a battery state of charge, and an electronic device, which are used for solving the problem that the measurement accuracy of the battery state of charge is difficult to evaluate quickly. The method comprises the following steps: based on a first sampling synchronization time interval between the current collector and the voltage collector, obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery; and calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector.
Description
Technical Field
The present disclosure relates to the field of battery engineering technologies, and in particular, to a method and an apparatus for determining measurement accuracy of a battery state of charge, and an electronic device.
Background
The Battery Management System (BMS) accurately measures the State Of Charge (SOC) Of the Battery, which is helpful for improving the balance control efficiency Of the Battery Management System and the energy Management efficiency Of the electric vehicle, has an important meaning for accurately estimating the driving mileage Of the vehicle, and is also helpful for improving the safety performance Of the electric vehicle under dynamic conditions.
In the related technology, a method for estimating the measurement accuracy of the battery state of charge based on a battery model provides dynamic current change to simulate the excitation of a vehicle to a battery through a charging and discharging device, so as to obtain the voltage response of the battery, a high-accuracy current sampling device is used for collecting the accumulated ampere-hour of the battery, the true value of the battery state of charge is calculated by combining a capacity test, further, a current sampling value, a voltage sampling value and a temperature sampling value collected by a battery management system are used for calculating to obtain the estimated value of the battery state of charge, and finally, the measurement accuracy of the battery state of charge is estimated according to the true value and the estimated value.
Disclosure of Invention
The invention aims to provide a method and a device for determining the measurement accuracy of the state of charge of a battery, and an electronic device, so as to solve the problem that the measurement accuracy of the state of charge of the battery is difficult to evaluate quickly.
To achieve the above object, a first aspect of the present disclosure provides a method for determining battery state of charge measurement accuracy, the method comprising:
based on a first sampling synchronization time interval between the current collector and the voltage collector, obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery;
and calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector.
Optionally, the first sampling synchronization time interval is determined according to a sampling period of the current collector and a sampling period of the voltage collector.
Optionally, the first reference value Re 1 Is calculated by the following formula:
Re 1 =C 1 ×T 1 ×R 1 ;
wherein, C 1 Representing the rate of change of said current, T 1 Representing said first sample synchronization time interval, R 1 Representing the average value of the internal resistance;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector comprises:
wherein E represents the error value used to characterize the accuracy of the battery state of charge measurement, V SE Representing the voltage sampling error value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the method further comprises:
obtaining the minimum value of the derivative of the ambient temperature to the open-circuit voltage based on the open-circuit voltage and ambient temperature curve of the battery, and determining a second sampling synchronization time interval based on the sampling period of the current collector and the sampling period of the temperature collector;
calculating to obtain a second reference value according to the second sampling synchronization time interval, the temperature sampling error value of the temperature collector, the minimum value of the derivative of the ambient temperature to the open-circuit voltage, the ambient temperature change rate and the minimum value of the derivative of the open-circuit voltage to the state of charge, wherein the ambient temperature change rate is the maximum value of the absolute variation of the ambient temperature in unit time;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector comprises:
and calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value.
Optionally, the average internal resistance value, the open-circuit voltage-to-ambient temperature curve, and the minimum value of the derivative of the open-circuit voltage to the state of charge are obtained based on a historical database of the same type of battery under different ambient temperature conditions.
Optionally, the second reference value Re 2 Is calculated by the following formula:
wherein, T SE Representing the temperature sampling error value, C 2 Represents the rate of change of the temperature, T 2 Representing said second sample synchronization time interval, d 1 Represents the minimum value of the derivative of the open-circuit voltage with respect to the state of charge, d 2 Represents a minimum value of a derivative of the temperature with respect to the open circuit voltage;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage to the state of charge of the battery, the first reference value, the voltage sampling error value and the second reference value comprises:
wherein, V SE Representing the voltage sampling error value, re 1 Representing said first reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the method further comprises:
determining an inherent error value of the current collector according to the model of the current collector;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage to the state of charge of the battery, the first reference value, the voltage sampling error value and the second reference value comprises:
and calculating an error value for representing the measurement precision of the state of charge of the battery according to the inherent error value, the minimum derivative value of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value.
Optionally, the intrinsic error value E I Is calculated by the following formula:
wherein, I SE Representing the current sampling error of the current collector, I FS Representing the measuring range of the current collector;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the inherent error value, the minimum derivative value of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value includes:
wherein, V SE Representing the voltage sampling error value, re 1 Represents the first reference value, re 2 Represents the second reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the method further comprises:
and judging whether the error value exceeds a preset threshold range, and sending a reminding message that the measurement precision of the state of charge of the battery does not meet the requirement when the error value exceeds the preset threshold range.
A second aspect of the present disclosure provides an apparatus for determining a battery state of charge measurement accuracy, the apparatus comprising:
the first determination module is used for obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery based on a first sampling synchronization time interval between the current collector and the voltage collector;
and the calculation module is used for calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector.
Optionally, the first determining module includes a first determining sub-module, configured to determine a first sampling synchronization time interval according to a sampling period of the current collector and a sampling period of the voltage collector.
Optionally, the first determining module calculates the first reference value Re by the following formula 1 :
Re 1 =C 1 ×T 1 ×R 1 ;
Wherein, C 1 Representing the rate of change of said current, T 1 Representing said first sample synchronization time interval, R 1 Representing the average value of the internal resistance;
the calculation module comprises a first calculation submodule for calculating the error value E by the following formula:
wherein E represents the error value, V, used to characterize the accuracy of the battery state of charge measurement SE Representing the voltage sampling error value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to the state of charge.
Optionally, the apparatus further comprises:
the second determination module is used for obtaining the minimum value of the derivative of the ambient temperature to the open-circuit voltage based on the open-circuit voltage and ambient temperature curve of the battery, and determining a second sampling synchronization time interval based on the sampling period of the current collector and the sampling period of the temperature collector;
a second calculating module, configured to calculate a second reference value according to the second sampling synchronization time interval, the temperature sampling error value of the temperature collector, the minimum value of the derivative of the ambient temperature to the open-circuit voltage, the ambient temperature change rate, and the minimum value of the derivative of the open-circuit voltage to the state of charge, where the ambient temperature change rate is a maximum value of an absolute change amount of the ambient temperature in unit time;
the calculation module is further configured to calculate an error value used for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value, and the second reference value.
Optionally, the device further comprises a historical database module, configured to store the average internal resistance value, the open-circuit voltage-to-ambient temperature curve, and the minimum value of the derivative of the open-circuit voltage with respect to the state of charge, which are obtained based on the same type of battery under different ambient temperature conditions.
Optionally, the second calculating module calculates the second reference value Re by the following formula 2 :
Wherein, T SE Representing the temperature sampling error value, C 2 Represents the rate of change of the temperature, T 2 Representing said second sample synchronization time interval, d 1 Represents the minimum value of the derivative of the open-circuit voltage with respect to the state of charge, d 2 Represents a minimum value of a derivative of the temperature with respect to the open circuit voltage;
the calculation module comprises a second calculation submodule for calculating the error value E by the following formula:
wherein, V SE Representing the voltage sampling error value, re 1 Representing said first reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the apparatus further comprises:
the third determining module is used for determining the inherent error value of the current collector according to the model of the current collector;
the calculation module is further configured to calculate an error value used for representing the measurement accuracy of the state of charge of the battery according to the inherent error value, the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value, and the second reference value.
Optionally, the third determining module calculates the intrinsic error value E by the following formula I :
Wherein, I SE Representing the current sampling error of the current collector, I FS Representing the measuring range of the current collector;
the calculation module comprises a third calculation submodule for calculating the error value E according to the following formula:
wherein, V SE Representing the voltage sampling error value, re 1 Represents the first reference value, re 2 Represents the second reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the apparatus further comprises: and the execution module is used for judging whether the error value exceeds a preset threshold range or not, and sending a reminding message that the measurement precision of the state of charge of the battery does not meet the requirement when the error value exceeds the preset threshold range.
A third aspect of the disclosure provides a computer readable storage medium, which when executed by a processor performs the steps of any of the above methods.
A fourth aspect of the present disclosure provides an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of any of the above methods.
Through the technical scheme, the following beneficial effects can be at least achieved:
and calculating an error value for representing SOC (state of charge) measurement precision of the BMS according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector. Like this, after BMS equipment is accomplished, can obtain BMS measurement SOC's error value fast to confirm whether the software of BMS, hardware design are reasonable, and then as the basis of BMS performance improvement. After the whole vehicle is assembled, the matching degree of the BMS with a high-voltage system and a battery of the whole vehicle can be determined according to the error value. And the method does not depend on resources such as battery charging and discharging equipment, high-precision current sampling equipment, a test temperature box and the like, does not need coordination of a large number of test resources, saves manpower and material resources, shortens the period of determining the SOC (system on chip) measurement precision of the BMS, and can be executed in an actual development process of continuously improving the battery material ratio and upgrading the hardware scheme.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure, but do not constitute a limitation of the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a method of determining battery state of charge measurement accuracy, according to an exemplary embodiment.
FIG. 2 is a flow chart illustrating another method of determining battery state of charge measurement accuracy, according to an exemplary embodiment.
FIG. 3 is a flow chart illustrating another method of determining battery state of charge measurement accuracy, according to an exemplary embodiment.
FIG. 4 is a flow chart illustrating another method of determining battery state of charge measurement accuracy in accordance with an exemplary embodiment.
FIG. 5 is a block diagram illustrating an apparatus for determining battery state of charge measurement accuracy in accordance with an exemplary embodiment.
FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
In the related technology, the accumulated ampere-hour of the battery is obtained by simulating the real vehicle environment of the vehicle to excite the battery, the true value of the battery charge state is calculated by combining with a capacity test, the sampling values of current, voltage and temperature are collected, the estimated value of the battery charge state is obtained by calculation, the measurement accuracy of the battery charge state is calculated and evaluated, the battery needs to be excited by virtue of charging and discharging equipment depending on hardware and a software system of a battery management system, a large amount of resources are occupied, a large amount of time is consumed, and the battery charge state cannot be determined quickly. And the method excessively depends on software and hardware of the battery management system, and the requirements of quick iteration in a development stage are difficult to meet in the face of an actual development process of continuously improving the battery material ratio and continuously upgrading a hardware scheme.
FIG. 1 is a flow chart illustrating a method of determining battery state of charge measurement accuracy, according to an exemplary embodiment. As shown in fig. 1, the method includes:
s11, based on a first sampling synchronization time interval between the current collector and the voltage collector, obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery.
Wherein the current change rate is a maximum value of an absolute change amount of the current per unit time.
And S12, calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector.
Specifically, the first reference value is calculated according to an average value of internal resistances of the batteries that the BMS will match and a current change rate of the batteries. The current change rate is the maximum absolute value calculated according to different ambient temperatures and different working conditions of the battery.
In one possible implementation, the rate of change of currentWhere MAX denotes taking the maximum value, Δ I denotes the current change, and the absolute value is taken and calculated, Δt represents a temporal change. Thus, C is calculated 1 Also positive, the calculated first reference value also takes a positive value.
It should be noted that, according to the assembly and use of various vehicles with different types of batteries, a historical database of current change rates is established according to the current change rates under different temperature conditions and different working conditions, and when the accuracy of the state of charge of the battery is determined by the BMS, the current change rate in the test process can be determined according to the historical database and by combining the vehicles to be used by the BMS and the selling region. The BMS is not required to be excited by external charging equipment or a battery, and the occupation of resources is reduced.
It can be understood that the voltage sampling error value of the voltage collector is generally influenced by the manufacturing process and the manufacturing material of the voltage collector.
According to the technical scheme, a first reference value is obtained through a first sampling synchronization time interval between a current collector and a voltage collector of the battery management system, an internal resistance average value of the battery and a current change rate of the battery, and then an error value used for representing SOC measurement precision of the BMS is obtained through calculation according to a minimum value of a derivative of an open-circuit voltage of the battery on the SOC, the first reference value and a voltage sampling error value of the voltage collector. Therefore, after BMS assembly is completed, the error value of the SOC measured by the BMS can be quickly obtained, and whether software and hardware design of the BMS is reasonable or not is determined, so that the error value can be used as the basis for BMS performance improvement. After the whole vehicle is assembled, the matching degree of the BMS with a high-voltage system and a battery of the whole vehicle can be determined according to the error value. In addition, the method does not depend on resources such as battery charging and discharging equipment, high-precision current sampling equipment and a test temperature box, does not need coordination of a large number of test resources, saves manpower and material resources, shortens the period of determining the SOC precision of the BMS, and can be executed in the actual development process of continuously improving the material ratio of the battery and continuously upgrading the hardware scheme.
Optionally, the first sampling synchronization time interval is determined according to a sampling period of the current collector and a sampling period of the voltage collector.
In particular, the first sampling synchronizationTime interval T 1 =|T I -T V L, where T I Indicating the sampling period, T, of the current collector V Representing the sampling period of the voltage collector, calculating the first sampling synchronization time interval T 1 Taking the absolute value.
Optionally, the first reference value Re 1 Is calculated by the following formula:
Re 1 =C 1 ×T 1 ×R 1 ;
wherein, C 1 Representing the rate of change of said current, T 1 Representing said first sample synchronization time interval, R 1 Representing the average value of the internal resistance;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector comprises:
wherein E represents the error value, V, used to characterize the accuracy of the battery state of charge measurement SE Representing the voltage sampling error value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
FIG. 2 is a flow chart illustrating another method of determining battery state of charge measurement accuracy in accordance with an exemplary embodiment. As shown in fig. 2, the method includes:
and S21, obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery based on the first sampling synchronization time interval between the current collector and the voltage collector.
Wherein the current change rate is a maximum value of an absolute change amount of the current per unit time.
S22, obtaining the minimum value of the derivative of the ambient temperature to the open-circuit voltage based on the open-circuit voltage and ambient temperature curve of the battery, and determining a second sampling synchronization time interval based on the sampling period of the current collector and the sampling period of the temperature collector;
and S23, calculating to obtain a second reference value according to the second sampling synchronization time interval, the temperature sampling error value of the temperature collector, the minimum value of the derivative of the ambient temperature to the open-circuit voltage, the change rate of the ambient temperature and the minimum value of the derivative of the open-circuit voltage to the charge state.
Wherein the ambient temperature change rate refers to a maximum value of an absolute change amount of the ambient temperature per unit time.
And S24, calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value.
In particular, the second sample synchronization time interval T 2 =|T I -T T L, wherein T I Indicating the sampling period, T, of the current collector T Representing the sampling period of the temperature collector, and calculating the second sampling synchronization time interval T 2 And taking an absolute value.
In a possible implementation manner, the voltage collector and the temperature collector are completed by the same collector, and the collection periods are the same, so that the second sampling synchronization time interval determined by the sampling period of the current collector and the sampling period of the temperature collector can be replaced by the first sampling synchronization time interval between the current collector and the voltage collector.
Therefore, the influence of the ambient temperature on the state of charge of the battery measured by the BMS can be combined, and the accuracy of measuring the accuracy of the state of charge of the battery is improved.
Optionally, the average internal resistance value, the open-circuit voltage-to-ambient temperature curve, and the minimum value of the derivative of the open-circuit voltage to the state of charge are obtained based on a historical database of the same type of battery under different ambient temperature conditions.
Specifically, according to the assembly and use of various vehicles with different types of batteries, a historical database is established by the average values of the internal resistances of the batteries under different working conditions under different temperature conditions, and when the accuracy of the state of charge of the batteries is determined by the BMS, the average value of the internal resistances of the batteries in the test process can be determined by combining the vehicles to be used by the BMS and the selling region according to the historical database. And a battery is not needed to excite the BMS, so that the occupation of resources is reduced.
Optionally, the open-circuit voltage and ambient temperature curve establishes a historical database with the battery under different conditions and different working conditions, and the minimum value of the ambient temperature to the open-circuit voltage derivative, that is, the minimum value d of the ambient temperature to the open-circuit voltage derivative, can be obtained 2 Is composed ofWherein MIN represents taking the minimum value. Alternatively, the ambient temperature is derived from the open circuit voltage and the absolute value is taken.
The open-circuit voltage historical database is established according to the open-circuit voltages under different temperature conditions and different working conditions, and when the accuracy of the state of charge of the battery is determined by the BMS, the open-circuit voltage and ambient temperature curve in the test process can be determined according to the historical database and by combining the vehicles to be used by the BMS and the selling areas. The BMS is not required to be tested by using a test box and the like, so that the time for determining the accuracy of the state of charge of the battery measured by the battery management system is shortened, and the occupation of resources can be reduced.
Optionally, the second reference value Re 2 Is calculated by the following formula:
wherein, T SE Representing the temperature sampling error value, C 2 Represents the rate of change of the temperature, T 2 Representing said second sample synchronization time interval, d 1 Represents the minimum value of the derivative of the open-circuit voltage with respect to the state of charge, d 2 Represents a minimum value of a derivative of the temperature with respect to the open circuit voltage;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage to the state of charge of the battery, the first reference value, the voltage sampling error value and the second reference value comprises:
wherein, V SE Representing the voltage sampling error value, re 1 Representing said first reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to the state of charge.
Optionally, rate of temperature changeWhere MAX denotes taking the maximum value, Δ T denotes the ambient temperature change, and an absolute value is taken for calculation, and Δ T denotes the time change. Thus, C is calculated 2 Also positive.
FIG. 3 is a flow chart illustrating another method of determining battery state of charge measurement accuracy, according to an exemplary embodiment. As shown in fig. 3, the method includes:
and S31, based on the first sampling synchronization time interval between the current collector and the voltage collector, obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery.
Wherein the current change rate is a maximum value of an absolute change amount of the current per unit time.
And S32, obtaining the minimum value of the ambient temperature to the derivative of the open-circuit voltage based on the open-circuit voltage and ambient temperature curve of the battery, and determining a second sampling synchronization time interval based on the sampling period of the current collector and the sampling period of the temperature collector.
And S33, calculating to obtain a second reference value according to the second sampling synchronization time interval, the temperature sampling error value of the temperature collector, the minimum value of the derivative of the ambient temperature to the open-circuit voltage, the change rate of the ambient temperature and the minimum value of the derivative of the open-circuit voltage to the state of charge.
Wherein the ambient temperature change rate refers to a maximum value of an absolute change amount of the ambient temperature per unit time.
And S34, determining an inherent error value of the current collector according to the model of the current collector.
S35, calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the inherent error value, the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value.
Specifically, the type of the current collector corresponds to a manufacturing process and a manufacturing material of the current collector, and the manufacturing process and the manufacturing material of the current collector determine the error of the current collector during current collection to a certain extent. For example, the resistors with different specifications and models adopted in the current collector can affect the error of the current collector during current collection.
In one possible implementation, an error value of the battery state of charge measurement accuracy may be determined in combination with an inherent error value of the voltage harvester.
Therefore, the influence of hardware adopted by the BMS on the measurement error is fully considered, and the accuracy of measuring the precision of the state of charge of the battery is further improved.
Optionally, the intrinsic error value E I Is calculated by the following formula:
wherein, I SE Represents the current sampling error of the current collector, I FS Representing the measuring range of the current collector;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the inherent error value, the minimum derivative value of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value includes:
wherein, V SE Represents the voltage sampling error value, re 1 Represents the first reference value, re 2 Represents the second reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Specifically, the current sampling error of the current collector is generally affected by the manufacturing process and the manufacturing material of the current collector.
The measuring range of the current collector can be obtained according to the product specification of the current collector, and a corresponding database can be established according to the relation between the specification and the measuring range of the current collector.
Specifically, an inherent error value E is calculated I The current sampling error of the current collector usually includes a positive value and a negative value, and therefore, the calculated inherent error value E I Including positive and negative values.
FIG. 4 is a flow chart illustrating another method of determining battery state of charge measurement accuracy, according to an exemplary embodiment. As shown in fig. 4, the method includes:
s41, based on the first sampling synchronization time interval between the current collector and the voltage collector, obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery.
Wherein the current change rate is a maximum value of an absolute change amount of the current per unit time.
And S42, calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector.
S43, judging whether the error value exceeds a preset threshold range, and sending a reminding message that the measurement accuracy of the state of charge of the battery is not satisfactory when the error value exceeds the preset threshold range.
Specifically, whether the error value is in a reasonable range or not is determined by judging the relationship between the error value and a preset threshold range, and further whether the BMS is reasonable in software and/or hardware is judged, and it can be understood that whether the BMS and a whole vehicle high-voltage system, such as a battery and a charging system, are reasonable or not can also be judged after the real vehicle is assembled.
It is worth noting that in calculating the error value, E I 、Re 2 Andtaking positive or negative values when taking values, e.g. calculating to obtain E I 1.3% of Re 2 The content of the acid is 0.6 percent,1%, when calculating error value E, take E I . + -. 1.3% of Re 2 Is not less than 0.6 percent,for example ± 1%, the calculated error value is 2.9%,1.7%,0.9%,0.3%, -0.3%, -0.9%, -1.7%, -2.9%, and when it is determined whether the error value exceeds the preset threshold range, it is determined whether 2.9% and-2.9% exceed the preset threshold range.
It is worth noting that the two endpoints of the preset threshold range may be different in value, for example, the threshold range of the above example may be-1% to 3%, and the error value of-2.9% exceeds the preset threshold range.
Illustratively, when the error value determined by the 1# bms is 10%, and exceeds the preset threshold range by 5%, a warning message that the battery state of charge accuracy of the 1# bms is not satisfactory is issued, and the error value is displayed on a user interface, so that a designer can adjust the software and/or hardware design of the 1# bms according to the error value.
Alternatively, different preset threshold ranges may be set according to different battery types and different conditions of the BMS using the climate, for example, different ambient temperatures, different ambient humidity, and the like. For example, the preset threshold range for the BMS used in one vehicle is different from the preset threshold range for the BMS used in one vehicle and the lithium iron phosphate battery, and the preset threshold range for the BMS used in the tropical area is different from the preset threshold range for the frigid area.
Therefore, when the error value used for representing the measurement accuracy of the state of charge of the battery exceeds the preset threshold range, prompt information can be sent out timely and conveniently, a user can adjust the software design and/or hardware design of the BMS, and the convenience for determining the SOC accuracy of the BMS is improved.
It should be noted that, the combination of the above technical solutions is some embodiments, for example, an error value for characterizing the measurement accuracy of the state of charge of the battery may be calculated based on a first reference value, a minimum value of a derivative of the open-circuit voltage of the battery with respect to the state of charge, the first reference value, and the voltage sampling error value. And are not limited herein.
FIG. 5 is a block diagram illustrating an apparatus for determining battery state of charge measurement accuracy in accordance with an exemplary embodiment. As shown in fig. 5, the apparatus 500 includes: a first determination module 510, a calculation module 520.
The first determining module 510 is configured to obtain a first reference value according to the average internal resistance of the battery and the current change rate of the battery based on a first sampling synchronization time interval between the current collector and the voltage collector.
The calculating module 520 is configured to calculate an error value used for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, and the voltage sampling error value of the voltage collector.
According to the device, a first reference value is obtained through a first sampling synchronization time interval between a current collector and a voltage collector of a battery management system, an internal resistance average value of the battery and a current change rate of the battery, and then an error value used for representing SOC (state of charge) measurement precision of the BMS is obtained through calculation according to a minimum value of a derivative of an open-circuit voltage of the battery to the state of charge, the first reference value and a voltage sampling error value of the voltage collector. Like this, after BMS equipment is accomplished, can obtain BMS measurement SOC's error value fast to confirm whether the software of BMS, hardware design are reasonable, and then as the basis of BMS performance improvement. After the whole vehicle is assembled, the matching degree of the BMS with a high-voltage system and a battery of the whole vehicle can be determined according to the error value. In addition, the method does not depend on resources such as battery charging and discharging equipment, high-precision current sampling equipment and a test temperature box, does not need coordination of a large number of test resources, saves manpower and material resources, shortens the period of determining the SOC precision of the BMS, and can be executed in the actual development process of continuously improving the material ratio of the battery and continuously upgrading the hardware scheme.
Optionally, the first determining module includes a first determining submodule, configured to determine a first sampling synchronization time interval according to a sampling period of the current collector and a sampling period of the voltage collector.
Optionally, the first determining module calculates the first reference value Re by the following formula 1 :
Re 1 =C 1 ×T 1 ×R 1 ;
Wherein, C 1 Representing the rate of change of said current, T 1 Representing said first sample synchronization time interval, R 1 Representing the average value of the internal resistance;
the calculation module 520 includes a first calculation submodule for calculating the error value E according to the following formula:
wherein E represents the error value, V, used to characterize the accuracy of the battery state of charge measurement SE Representing the voltage sampling error value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the apparatus further comprises:
the second determination module is used for obtaining the minimum value of the derivative of the ambient temperature to the open-circuit voltage based on the open-circuit voltage and ambient temperature curve of the battery, and determining a second sampling synchronization time interval based on the sampling period of the current collector and the sampling period of the temperature collector;
a second calculating module, configured to calculate a second reference value according to the second sampling synchronization time interval, the temperature sampling error value of the temperature collector, the minimum of the derivative of the ambient temperature with respect to the open-circuit voltage, the rate of change of the ambient temperature, and the minimum of the derivative of the open-circuit voltage with respect to the state of charge, where the rate of change of the ambient temperature is a maximum of an absolute change amount of the ambient temperature in unit time;
the calculating module 520 is further configured to calculate an error value used for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value, and the second reference value.
Optionally, the apparatus 500 further comprises a history database module for storing the average internal resistance value, the open-circuit voltage and ambient temperature curve, and the minimum value of the derivative of the open-circuit voltage to the state of charge, which are obtained based on the same type of battery under different ambient temperature conditions.
Optionally, the second calculating module calculates the second reference value Re by the following formula 2 :
Wherein, T SE Represents the temperature sampling error value, C 2 Represents the rate of change of the temperature, T 2 Representing said second sample synchronization time interval, d 1 Represents the minimum value of the derivative of the open-circuit voltage with respect to the state of charge, d 2 Represents a minimum value of a derivative of the temperature with respect to the open circuit voltage;
the calculation module comprises a second calculation submodule for calculating the error value E by the following formula:
wherein, V SE Represents the voltage sampling error value, re 1 Representing said first reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
Optionally, the apparatus 500 further comprises:
the third determining module is used for determining the inherent error value of the current collector according to the model of the current collector;
the calculating module 520 is further configured to calculate an error value used for characterizing the measurement accuracy of the state of charge of the battery according to the inherent error value, the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value, and the second reference value.
Optionally, the third determining module calculates the intrinsic error value E by the following formula I :
Wherein, I SE Representing the current sampling error of the current collector, I FS The measuring range of the current collector is represented;
the calculating module 520 includes a third calculating sub-module, configured to calculate the error value E according to the following formula:
wherein, V SE Represents the voltage sampling error value, re 1 Represents the first reference value, re 2 Represents said second reference value, d 1 Minimum value representing derivative of said open circuit voltage to state of charge。
Optionally, the apparatus 500 further comprises: and the execution module is used for judging whether the error value exceeds a preset threshold range or not, and sending a reminding message that the measurement precision of the state of charge of the battery does not meet the requirement when the error value exceeds the preset threshold range.
FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment. The electronic device 700 may include any of the above-described means for determining the accuracy of a battery state of charge measurement. As shown in fig. 6, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700, so as to complete all or part of the steps in the method for determining the measurement accuracy of the battery state of charge. The memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and so forth. The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving an external audio signal. The received audio signal may further be stored in the memory 702 or transmitted through the communication component 705. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC for short), 2G, 3G, 4G or 5g, nb-IOT (Narrow Band Internet of Things), or a combination of one or more of them, and thus the corresponding Communication component 705 may include: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described method of determining the accuracy of the battery state of charge measurement.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above method of determining battery state of charge measurement accuracy is also provided. For example, the computer readable storage medium may be the memory 702 described above including program instructions that are executable by the processor 701 of the electronic device 700 to perform the method described above for determining the accuracy of a battery state of charge measurement.
The preferred embodiments of the present disclosure are described in detail above with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details in the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (11)
1. A method of determining accuracy of a battery state of charge measurement, the method comprising:
based on a first sampling synchronization time interval between the current collector and the voltage collector, obtaining a first reference value according to the average value of the internal resistance of the battery and the current change rate of the battery;
calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector;
the first reference value Re 1 Is calculated by the following formula:
Re 1 =C 1 ×T 1 ×R 1 ;
wherein, C 1 Representing the rate of change of said current, T 1 Representing said first sample synchronization time interval, R 1 Representing the average value of the internal resistance;
wherein E represents the error value, V, used to characterize the accuracy of the battery state of charge measurement SE Representing the voltage sampling error value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
2. The method of claim 1, wherein the first sampling synchronization time interval is determined according to a sampling period of the current collector and a sampling period of the voltage collector.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
obtaining the minimum value of the derivative of the ambient temperature to the open-circuit voltage based on the open-circuit voltage and ambient temperature curve of the battery, and determining a second sampling synchronization time interval based on the sampling period of the current collector and the sampling period of the temperature collector;
calculating to obtain a second reference value according to the second sampling synchronization time interval, the temperature sampling error value of the temperature collector, the minimum value of the derivative of the ambient temperature to the open-circuit voltage, the ambient temperature change rate and the minimum value of the derivative of the open-circuit voltage to the state of charge, wherein the ambient temperature change rate is the maximum value of the absolute variation of the ambient temperature in unit time;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector comprises:
and calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value.
4. The method of claim 3, wherein the average value of the internal resistance, the open circuit voltage versus ambient temperature curve, and the minimum value of the derivative of the open circuit voltage versus the state of charge are based on a historical database of the same type of battery built under different ambient temperature conditions.
5. Root of herbaceous plantMethod according to claim 3, characterized in that said second reference value Re 2 Is calculated by the following formula:
wherein, T SE Representing the temperature sampling error value, C 2 Represents the rate of change of the temperature, T 2 Representing said second sample synchronization time interval, d 1 Represents the minimum value of the derivative of the open-circuit voltage with respect to the state of charge, d 2 Represents a minimum value of a derivative of the temperature with respect to the open circuit voltage;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage to the state of charge of the battery, the first reference value, the voltage sampling error value and the second reference value comprises:
wherein, V SE Representing the voltage sampling error value, re 1 Represents said first reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to the state of charge.
6. The method of claim 3, further comprising:
determining an inherent error value of the current collector according to the model of the current collector;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the minimum derivative value of the open-circuit voltage to the state of charge of the battery, the first reference value, the voltage sampling error value and the second reference value comprises:
and calculating an error value for representing the measurement precision of the state of charge of the battery according to the inherent error value, the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value.
7. The method of claim 6 wherein the intrinsic error value E is the error value I Is calculated by the following formula:
wherein, I SE Represents the current sampling error of the current collector, I FS Representing the measuring range of the current collector;
the calculating an error value for representing the measurement accuracy of the state of charge of the battery according to the inherent error value, the minimum derivative value of the open-circuit voltage of the battery to the state of charge, the first reference value, the voltage sampling error value and the second reference value includes:
wherein, V SE Represents the voltage sampling error value, re 1 Represents the first reference value, re 2 Represents said second reference value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to state of charge.
8. The method according to claim 1 or 2, characterized in that the method further comprises:
and judging whether the error value exceeds a preset threshold range, and sending a reminding message that the measurement precision of the state of charge of the battery does not meet the requirement when the error value exceeds the preset threshold range.
9. An apparatus for determining accuracy of a battery state of charge measurement, the apparatus comprising:
the first determination module is used for obtaining a first reference value according to the internal resistance average value of the battery and the current change rate of the battery based on a first sampling synchronization time interval between the current collector and the voltage collector, wherein the current change rate is the maximum value of the absolute change of the current in unit time;
the first calculation module is used for calculating an error value for representing the measurement precision of the state of charge of the battery according to the minimum value of the derivative of the open-circuit voltage of the battery to the state of charge, the first reference value and the voltage sampling error value of the voltage collector;
the first reference value Re 1 Is calculated by the following formula:
Re 1 =C 1 ×T 1 ×R 1 ;
wherein, C 1 Representing the rate of change of the current, T 1 Representing said first sample synchronization time interval, R 1 Representing the average value of the internal resistance;
wherein E represents the error value used to characterize the accuracy of the battery state of charge measurement, V SE Representing the voltage sampling error value, d 1 Represents the minimum value of the derivative of the open circuit voltage with respect to the state of charge.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
11. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010245863.0A CN113466722B (en) | 2020-03-31 | 2020-03-31 | Method and device for determining measurement accuracy of battery state of charge and electronic equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010245863.0A CN113466722B (en) | 2020-03-31 | 2020-03-31 | Method and device for determining measurement accuracy of battery state of charge and electronic equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113466722A CN113466722A (en) | 2021-10-01 |
CN113466722B true CN113466722B (en) | 2022-11-11 |
Family
ID=77865524
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010245863.0A Active CN113466722B (en) | 2020-03-31 | 2020-03-31 | Method and device for determining measurement accuracy of battery state of charge and electronic equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113466722B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114035059B (en) * | 2021-11-08 | 2024-07-16 | 东软睿驰汽车技术(沈阳)有限公司 | Calculation method and device for displaying SOC precision and electronic equipment |
CN118501724A (en) * | 2024-07-19 | 2024-08-16 | 上海泰矽微电子有限公司 | Initial state of charge estimation method, device, system and medium |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4830382B2 (en) * | 2005-07-19 | 2011-12-07 | 日産自動車株式会社 | Secondary battery charge rate estimation device |
CN102590760B (en) * | 2012-02-27 | 2014-08-13 | 力帆实业(集团)股份有限公司 | Storage battery state detection device and detection method thereof |
CN102831100B (en) * | 2012-07-18 | 2015-08-26 | 深圳职业技术学院 | Battery charge state evaluation method and device |
CN104659798A (en) * | 2013-11-20 | 2015-05-27 | 沈阳工业大学 | Hybrid wind power energy storage system based on fuzzy neural network and optimization method of system |
CN103698713B (en) * | 2013-12-30 | 2016-08-17 | 长城汽车股份有限公司 | A kind of health state of lithium ion battery appraisal procedure |
CN106716158B (en) * | 2014-06-11 | 2019-05-17 | 北京交通大学 | Battery charge state evaluation method and device |
CN108445401A (en) * | 2018-02-09 | 2018-08-24 | 深圳市鹏诚新能源科技有限公司 | On-line Estimation method, electronic device and the storage medium of battery charge state SOC |
-
2020
- 2020-03-31 CN CN202010245863.0A patent/CN113466722B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN113466722A (en) | 2021-10-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110967637B (en) | Method, device, system and storage medium for estimating allowable power of battery | |
CN113189495B (en) | Battery health state prediction method and device and electronic equipment | |
CN115616421B (en) | Battery state of health estimation method, system, equipment and medium | |
CN112904208A (en) | Method and system for estimating open circuit voltage of battery cell | |
WO2021258657A1 (en) | Method and apparatus for acquiring state of health of battery, and storage medium | |
CN113466722B (en) | Method and device for determining measurement accuracy of battery state of charge and electronic equipment | |
CN111505511B (en) | Method for measuring capacity of single battery cell of electric vehicle, electronic equipment and storage medium | |
CN113093027B (en) | Battery SOC calibration method, device, system, medium and program product | |
CN110907838B (en) | Battery working condition simulation test method, electronic equipment and computer readable storage medium | |
CN114371409A (en) | Training method of battery state prediction model, and battery state prediction method and device | |
CN204030697U (en) | Based on the battery management system of dynamic SOC estimating system | |
CN115600728A (en) | Annual carbon emission estimation method and device for power battery | |
CN104076284A (en) | Battery state of charge (SOC) tracking method and device | |
CN116754971A (en) | Method, device and storage medium for detecting lithium precipitation of battery | |
CN111157906B (en) | SOC precision testing method, device and system | |
CN114441980A (en) | Method for measuring health condition and residual service life of lithium ion battery | |
CN116930767A (en) | Early warning method and device for thermal runaway of power battery | |
Qiang et al. | A Data-Fusion-Model Method for State of Health Estimation of Li-Ion Battery Packs Based on Partial Charging Curve | |
CN111506977A (en) | Power battery modeling method | |
CN116087809A (en) | Method, device, equipment and storage medium for predicting state of charge value of automobile battery | |
CN114089204B (en) | Battery capacity diving inflection point prediction method and device | |
CN114764600A (en) | Service life prediction method and device for new energy vehicle battery pack and electronic equipment | |
KR20150034593A (en) | Method and apparatus for state of charge estimation of battery | |
CN114035049A (en) | SOH precision calculation method and device and electronic equipment | |
CN113219358A (en) | Battery pack health state calculation method and system and electronic equipment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |