CN115503482A - Charging strategy determination method, battery and vehicle - Google Patents
Charging strategy determination method, battery and vehicle Download PDFInfo
- Publication number
- CN115503482A CN115503482A CN202110698040.8A CN202110698040A CN115503482A CN 115503482 A CN115503482 A CN 115503482A CN 202110698040 A CN202110698040 A CN 202110698040A CN 115503482 A CN115503482 A CN 115503482A
- Authority
- CN
- China
- Prior art keywords
- battery
- boundary
- determining
- lithium analysis
- analysis boundary
- 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.)
- Pending
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0092—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption with use of redundant elements for safety purposes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Electrochemistry (AREA)
- Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Secondary Cells (AREA)
Abstract
The application relates to a charging strategy determination method, a battery and a vehicle, wherein the charging strategy determination method comprises the following steps: constructing a verification battery based on positive and negative pole pieces of the target battery; determining an experimental lithium analysis boundary of the verification battery; determining a theoretical lithium analysis boundary of the target battery based on the experimental lithium analysis boundary, errors of a test process and errors of a manufacturing process of the verification battery; and determining a charging strategy for the target battery according to the theoretical lithium analysis boundary and the safe redundancy amount of the target battery. According to the charging strategy determining method in some examples of the invention, an efficient charging strategy can be accurately formulated for the target battery, so that the vehicle using safety can be further ensured.
Description
Technical Field
The application relates to the field of vehicle charging, in particular to a charging strategy determination method, a battery and a vehicle.
Background
With the increasing demand for the mileage of new energy vehicles, the energy density of power batteries such as lithium ion batteries is also higher and higher. Compared with the traditional fuel vehicle energy supplementing mode, the charging of the power battery usually needs a longer time, which brings some inconvenience to users to a certain extent. In order to provide good user experience and solve the problem of power supply anxiety of users, people put forward high requirements on charging strategies of electric vehicles and the like.
In addition, the establishment of the quick charge strategy is closely related to the lithium analysis behavior of the battery. The lithium precipitation boundary of the power battery is closely related to the material characteristics of the battery on one hand, and is also influenced by the manufacturing process and the testing level of the battery on the other hand. Currently, the lithium analysis boundary test is mainly determined by researching the lithium analysis boundary of the material, and a uniform method is not formed in the industry. In the conventional method, a large amount of disassembly is usually required to obtain more accurate lithium analysis boundary data, so that a large amount of cells and test resources are consumed in actual operation, and a tested sample cannot guarantee that the most true state of mass production cells is accurately reflected.
Disclosure of Invention
The embodiment of the application provides a charging strategy determining method, a battery and a vehicle, so that an efficient charging strategy can be accurately formulated for a target battery, and the vehicle using safety can be guaranteed.
According to an aspect of the present application, there is provided a charging policy determination method, including: constructing a verification battery based on positive and negative pole pieces of the target battery; determining an experimental lithium analysis boundary of the validation cell; determining a theoretical lithium analysis boundary of the target battery based on the experimental lithium analysis boundary, errors of a test process and errors of a manufacturing process of the verification battery; and determining a charging strategy for the target battery according to the theoretical lithium analysis boundary and the safe redundancy amount of the target battery.
In some embodiments of the present application, optionally, the verification battery includes one or two reference electrodes and positive and negative electrodes fabricated according to the positive and negative electrode sheets.
In some embodiments of the present application, optionally, determining the experimental lithium analysis boundary comprises: testing the maximum charging multiplying power of the verification battery in different states; and determining the experimental lithium analysis boundary according to the maximum charging rate.
In some embodiments of the present application, optionally, determining the theoretical lithiation boundary comprises: determining a first error profile for the test procedure; and determining a typical lithium analysis boundary related to the test process according to the experimental lithium analysis boundary and the first error distribution condition.
In some embodiments of the present application, optionally, determining the theoretical lithium analysis boundary further comprises: determining a second error profile for the manufacturing process; and determining the theoretical lithium analysis boundary according to the typical lithium analysis boundary and the second error distribution condition.
In some embodiments of the present application, optionally, the first error distribution case and the second error distribution case are one of the following items: normal distribution, weibull distribution, lognormal distribution.
In some embodiments of the application, optionally, the second error distribution is a positive-negative mass ratio distribution of the verification battery, and the theoretical lithium analysis boundary is determined according to a monte carlo model.
In some embodiments of the present application, optionally, the amount of security redundancy comprises: battery thermal boundary redundancy, battery safety boundary redundancy.
According to another aspect of the present application, there is provided a battery, characterized in that the battery is configured to determine its charging strategy according to any one of the methods as described above.
According to another aspect of the present application, there is provided a vehicle characterized in that the vehicle includes any one of the batteries as described above.
Some examples of the invention can directly obtain the pole piece from the production line, and in some examples, the test error and the sample error (manufacturing error) of the battery cell are also comprehensively considered, and in some examples, the factors such as heating and safety boundary in the actual use process of the battery cell are also considered, so that the most real use state of the battery cell in mass production can be accurately reflected, and the accurate lithium analysis boundary can be obtained, and a quick charge strategy according with the actual situation can be formulated.
Drawings
The above and other objects and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which like or similar elements are designated by like reference numerals.
Fig. 1 illustrates a charging strategy determination method according to one embodiment of the present application.
Fig. 2 illustrates a process of charging strategy determination according to one embodiment of the present application.
Detailed Description
For the purposes of brevity and explanation, the principles of the present application are described herein with reference primarily to exemplary embodiments thereof. However, those skilled in the art will readily recognize that the same principles are equally applicable to all types of charging strategy determination methods, batteries, and vehicles, and that these same or similar principles may be implemented therein, with any such variations not departing from the true spirit and scope of the present application.
According to an aspect of the present application, a charging strategy determination method is provided. As shown in fig. 1, the charging policy determination method 10 (hereinafter referred to as determination method 10) includes the following steps. The method comprises the steps of constructing a verification battery based on positive and negative pole pieces of a target battery in step S102, determining an experimental lithium analysis boundary of the verification battery in step S104, determining a theoretical lithium analysis boundary of the target battery based on the experimental lithium analysis boundary, errors of a test process and errors of a manufacturing process of the verification battery in step S106, and determining a charging strategy for the target battery according to the theoretical lithium analysis boundary and the safe redundancy of the target battery in step S108. The "target battery" herein refers to a battery that can be used for actual loading; the verification battery is a battery constructed by positive and negative pole pieces produced on a production line for producing the battery actually loaded, and the lithium analysis boundary of the target battery can be measured and calculated according to the battery.
In step S102, the determination method 10 of the present invention constructs a verification battery based on the positive and negative electrode plates of the target battery. In the traditional scheme, a large number of target batteries need to be disassembled to obtain accurate data for measuring and calculating lithium analysis boundaries, so that a large number of battery cores and test resources may need to be consumed, and a tested sample cannot guarantee that the most real state of mass production of battery cores is accurately reflected. In step S102, the determination method 10 of the present invention constructs a verification battery by using positive and negative electrode plates on the production line, so that the actual state of the target battery can be more accurately reflected. In some examples, for example, positive and negative plates from which the validation cell is constructed may be prepared according to volume production process parameters or sampled directly from in-line prepared plates.
In some embodiments of the present application, the verification battery includes one or two reference electrodes and positive and negative electrodes fabricated according to the positive and negative electrode sheets, wherein the reference electrodes are electrodes used as reference for comparison when measuring various electrode potentials. The electrode potential of the electrode to be measured can be calculated by forming a battery by the electrode to be measured and a reference electrode of which the electrode potential value is accurately known, and measuring the electromotive force value of the battery. In some examples, the study may be conducted by preparing a three-electrode validation cell or a four-electrode validation cell. The three-electrode verification battery comprises a positive electrode, a negative electrode and a reference electrode, and the four-electrode verification battery comprises a positive electrode, a negative electrode, a reference electrode A and a reference electrode B. The materials for making reference electrode, reference electrode a and reference electrode B include but are not limited to: lithium, copper plated lithium, platinum, copper plated platinum, silver, saturated calomel electrode, standard hydrogen electrode, mercuric sulfide electrode, etc.
Further, forms of validation cells herein include, but are not limited to: button cells, soft package cells, hard shell cells and other forms of model cells. The positive electrode sheet above includes, but is not limited to: lithium iron phosphate (LFP), ternary nickel cobalt manganese, ternary nickel cobalt aluminum, quaternary nickel cobalt manganese aluminum, lithium manganate, lithium nickelate, lithium cobaltate, and nickel manganese spinel, lithium iron manganese phosphate, and modified positive electrode materials doped with transition metal elements above. The negative electrode sheet above includes, but is not limited to: graphite, silica, pure silicon, silica and pure silicon composites, silicon carbon composites, lithium titanate, lithium niobate, metallic lithium, and the like. In addition, electrolytes useful for constructing validation cells include, but are not limited to: liquid electrolyte, solid-liquid mixed electrolyte, all-solid electrolyte and the like.
The determination method 10 of the invention determines the experimental lithium analysis boundary of the verification battery in step S104. The "experimental lithium analysis boundary" herein refers to lithium analysis boundary data obtained by actual testing of a verified battery. In some embodiments of the present application, the process of determining an experimental lithiation boundary comprises: testing and verifying the maximum charging rate of the battery in different states; and determining an experimental lithium analysis boundary according to the maximum charge rate. For example, the prepared three-electrode or four-electrode battery can be used for obtaining maximum charge rate curves under different temperatures and different states of charge (SOC) through anode potential tests, and then forming experimental lithium precipitation boundaries according to the maximum charge rate curves. As shown in fig. 2, for example, the maximum charging rates at different SOCs can be considered under a certain temperature condition, and the experimental lithium analysis boundaries of 100 verification batteries are tested, so that 100 experimental lithium analysis boundaries between the illustrated lithium analysis boundary 201 and the lithium analysis boundary 202 are obtained.
The determination method 10 of the present invention determines a theoretical lithium analysis boundary of the target battery based on the experimental lithium analysis boundary, the error of the test process of the verification battery, and the error of the manufacturing process in step S106. In step S106, the theoretical lithium analysis boundary of the target battery is determined by correcting the experimental lithium analysis boundary according to the error of the test process (or referred to as test error) and the error of the manufacturing process (or referred to as manufacturing error). The theoretical lithium analysis boundary refers to a mathematically accurate lithium analysis boundary obtained after eliminating several theoretical possible errors about a target battery. For example, the determining method 10 of the present invention may use the probability density distribution function to correct the deviation caused by the testing process and the manufacturing process in step S106, so as to obtain the theoretical lithium analysis boundary. Specifically, the test process and the manufacturing process may be corrected for variations by the following process.
In some embodiments of the present application, the process of determining the theoretical lithiation boundary includes: determining a first error profile for the test procedure; and determining a typical lithium analysis boundary related to the test process according to the experimental lithium analysis boundary and the first error distribution situation. Continuing with the example of fig. 2, in the case of testing 100 validation cells, 100 experimental lithium analysis boundaries between the lithium analysis boundary 201 and the lithium analysis boundary 202 represent error cases for the testing process. In some examples, the first error distribution case may be one of the following distribution patterns: normal distribution, weibull distribution, lognormal distribution. At this time, a representative typical lithium analysis boundary 203 can be determined according to 100 experimental lithium analysis boundaries between the lithium analysis boundary 201 and the lithium analysis boundary 202 and the distribution condition thereof.
In some embodiments of the present application, the process of determining the theoretical lithiation boundary further comprises: determining a second error profile associated with the manufacturing process; and determining a theoretical lithium analysis boundary according to the typical lithium analysis boundary and the second error distribution condition. Herein, in order to simulate the situation of the target battery by the verification battery, a structure similar to the target battery may be formed by stacking a plurality of verification batteries. For example, if the target cell includes 60 sets of positive and negative electrode plates connected end to end, the target cell can be formed by 60 validation cell stacks. It should be noted that the above stacking process may not actually occur, and it is only the number of samples that need to be considered when determining the error distribution in the manufacturing process. For example, continuing the above example, 60 verification cell manufacturing errors need to be considered in determining the second error profile. In some embodiments of the present application, the second error distribution condition is a positive-negative mass ratio distribution condition of the verification batteries, and at this time, the positive-negative mass ratio distribution condition of 60 verification batteries needs to be considered. Furthermore, the theoretical lithium analysis boundary 204 (with mathematical typical meaning) as shown in fig. 2 can be further determined by the monte carlo model. The theoretical lithium analysis boundary 204 will be a conservative boundary, and the charging strategy formed according to the theoretical lithium analysis boundary 204 will ensure that most target batteries do not have lithium analysis. It should be appreciated that the charging strategy located below the theoretical lithium boundary 204 eliminates the adverse effects of testing errors and manufacturing errors described above.
In some examples, the second error distribution case may also be one of the following distribution patterns: normal distribution, weibull distribution, lognormal distribution.
The determination method 10 of the present invention determines a charging strategy for the target battery based on the theoretical lithium analysis boundary and the safe redundancy amount of the target battery in step S108. The determination method 10 of the present invention in step S108, one or more no-analysis lithium fast charging strategies are developed based on the theoretical analysis lithium boundary, and further modified in conjunction with the battery thermal boundary and the safety boundary. In some embodiments of the application, the amount of security redundancy includes: battery thermal boundary redundancy, battery safety boundary redundancy. The hot boundary redundancy and the safety boundary redundancy in the invention can be obtained by an experimental method that the temperature rise under typical working conditions does not exceed the upper limit of the service temperature of the battery. In some examples, margins for thermal boundary redundancy and safety boundary redundancy may be set as desired. It should be noted that the lithium desorption-free fast charging strategy for the target battery of the present invention may include various schemes, one charging strategy 205 is schematically shown in fig. 2, but other charging strategies that satisfy the battery thermal boundary redundancy and the battery safety boundary redundancy may exist.
According to another aspect of the present application, there is provided a battery, characterized in that the battery is configured to determine its charging strategy according to any one of the methods as described above. According to any one of the charging strategy determination methods, an efficient charging strategy can be accurately formulated for the battery, and the phenomenon of lithium separation is also avoided, so that the safety of the battery charging process can be guaranteed.
According to another aspect of the present application, there is provided a vehicle characterized in that the vehicle comprises any one of the batteries as described above. The battery with the designated charging strategy according to any one of the charging strategy determination methods can be arranged for the vehicle, so that the charging efficiency of the vehicle can be improved, and the safety of the vehicle can be ensured.
The above are merely specific embodiments of the present application, but the scope of the present application is not limited thereto. Other possible variations or substitutions may occur to those skilled in the art based on the teachings herein, and are intended to be covered by the present disclosure. In the present invention, the embodiments and features of the embodiments may be combined with each other without conflict. The scope of protection of the present application is subject to the description of the claims.
Claims (10)
1. A charging strategy determination method, the method comprising:
constructing a verification battery based on positive and negative pole pieces of the target battery;
determining an experimental lithium analysis boundary of the verification battery;
determining a theoretical lithium analysis boundary of the target battery based on the experimental lithium analysis boundary, errors of a test process and errors of a manufacturing process of the verification battery; and
determining a charging strategy for the target battery according to the theoretical lithium analysis boundary and the safe redundancy amount of the target battery.
2. The method of claim 1, wherein the validation cell comprises one or two reference electrodes and positive and negative electrodes fabricated from the positive and negative electrode sheets.
3. The method of claim 1, wherein determining the experimental lithiation boundary comprises:
testing the maximum charging multiplying power of the verification battery in different states; and
and determining the experimental lithium analysis boundary according to the maximum charging rate.
4. The method of claim 1, wherein determining the theoretical lithiation boundary comprises:
determining a first error profile for the test procedure; and
and determining a typical lithium analysis boundary related to the test process according to the experimental lithium analysis boundary and the first error distribution condition.
5. The method of claim 4, wherein determining the theoretical lithiation boundary further comprises:
determining a second error profile for the manufacturing process; and
and determining the theoretical lithium analysis boundary according to the typical lithium analysis boundary and the second error distribution condition.
6. The method of claim 5, wherein the first error profile and the second error profile are one of: normal distribution, weibull distribution, lognormal distribution.
7. The method of claim 5, wherein the second error distribution is a positive-negative mass ratio distribution of the validation cell, and the theoretical lithium analysis boundary is determined according to a Monte Carlo model.
8. The method of claim 5, wherein the amount of safety redundancy comprises: battery thermal boundary redundancy, battery safety boundary redundancy.
9. A battery, characterized in that the battery is configured to determine its charging strategy according to the method of any of claims 1-8.
10. A vehicle characterized in that the vehicle comprises the battery according to claim 9.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110698040.8A CN115503482A (en) | 2021-06-23 | 2021-06-23 | Charging strategy determination method, battery and vehicle |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110698040.8A CN115503482A (en) | 2021-06-23 | 2021-06-23 | Charging strategy determination method, battery and vehicle |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115503482A true CN115503482A (en) | 2022-12-23 |
Family
ID=84499786
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110698040.8A Pending CN115503482A (en) | 2021-06-23 | 2021-06-23 | Charging strategy determination method, battery and vehicle |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115503482A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118578895A (en) * | 2024-08-08 | 2024-09-03 | 宁德时代新能源科技股份有限公司 | Recharging control method, recharging control device, electronic equipment, storage medium and program product |
-
2021
- 2021-06-23 CN CN202110698040.8A patent/CN115503482A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118578895A (en) * | 2024-08-08 | 2024-09-03 | 宁德时代新能源科技股份有限公司 | Recharging control method, recharging control device, electronic equipment, storage medium and program product |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | A coupled electrochemical-thermal-mechanical degradation modelling approach for lifetime assessment of lithium-ion batteries | |
Ghalkhani et al. | Electrochemical–thermal model of pouch-type lithium-ion batteries | |
Doyle et al. | A quick method of measuring the capacity versus discharge rate for a dual lithium-ion insertion cell undergoing cycling | |
Lam | A practical circuit-based model for state of health estimation of li-ion battery cells in electric vehicles | |
CN111062137B (en) | Lithium ion battery performance prediction model, construction method and application thereof | |
CN103345561B (en) | A kind of hot simulating analysis of lithium ion battery with multilayer chip structure | |
Yang et al. | State of charge estimation for pulse discharge of a LiFePO4 battery by a revised Ah counting | |
CN109586373A (en) | A kind of method for charging batteries and device | |
CN103869256B (en) | Method for estimating SOH of power lithium ion battery based on alternating current impedance test | |
CN109344429A (en) | A kind of raising electrochemistry-thermal coupling model temperature applicability and accuracy modeling method | |
CN112180278B (en) | Electric vehicle power battery performance nondestructive testing method considering voltage hysteresis characteristic | |
CN105866700B (en) | A kind of method that lithium ion battery quickly screens | |
KR20120099583A (en) | Device for detecting abnormality of state of charge in a lithium secondary battery and method for testing the same | |
Kang et al. | How electrode thicknesses influence performance of cylindrical lithium-ion batteries | |
Kang et al. | Study of relationship between temperature and thermal energy, operating conditions as well as environmental factors in large‐scale lithium‐ion batteries | |
CN105006597B (en) | With the method for symmetry electrode Fast Evaluation lithium ion cell electrode conformity of production | |
Xie et al. | Elucidating the rate limitation of lithium-ion batteries under different charging conditions through polarization analysis | |
Zhang et al. | Research on the reversible and irreversible heat generation of LiNi1− x− yCoxMnyO2-based lithium-ion batteries | |
Qian et al. | Revealing the Impact of High Current Overcharge/Overdischarge on the Thermal Safety of Degraded Li‐Ion Batteries | |
CN112684342A (en) | Method for evaluating heat generation rate in charging/discharging process of sodium ion battery | |
Wang et al. | Lithium plating induced volume expansion overshoot of lithium-ion batteries: Experimental analysis and modeling | |
CN115503482A (en) | Charging strategy determination method, battery and vehicle | |
Christophersen et al. | Electrochemical impedance spectroscopy testing on the advanced technology development program lithium-ion cells | |
CN114865117A (en) | Lithium ion battery electrode lithium embedding amount detection method and device and battery management system | |
Wang et al. | Development of a one-dimensional thermal-electrochemical model of lithium ion battery |
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 |