CN108829911A - A kind of open-circuit voltage and SOC functional relation optimization method - Google Patents
A kind of open-circuit voltage and SOC functional relation optimization method Download PDFInfo
- Publication number
- CN108829911A CN108829911A CN201810335636.XA CN201810335636A CN108829911A CN 108829911 A CN108829911 A CN 108829911A CN 201810335636 A CN201810335636 A CN 201810335636A CN 108829911 A CN108829911 A CN 108829911A
- Authority
- CN
- China
- Prior art keywords
- functional relation
- soc
- ocv
- open
- circuit voltage
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The present invention relates to a kind of open-circuit voltages and SOC functional relation optimization method, belong to new energy measurement and control area.This method is directed to open-circuit voltage(Open Circuit Voltage, OCV)With state-of-charge(State of Charge, SOC)Functional relation optimization aim proposes a kind of OCV-SOC functional relation optimization method, by intermittent discharge experimental analysis and Polynomial curve-fit, realizes the Efficient Characterization of lithium ion battery functional relation in groups;This method realizes the acquisition of its relationship discrete point on the basis of intermittent discharge is with experiment is shelved;This method is quickly obtained its functional relation in such a way that charge and discharge process influences complementation on the basis of hybrid power pulse ability characteristics test experiments;This method, in conjunction with the six order polynomials fitting based on least square method, obtains good performance matching effect on the basis of comparative analysis fitting effect;This method is fully considering that lithium ion battery in groups on working foundation, optimizes in conjunction with OCV-SOC functional relation, realizes the function characterization of open-circuit voltage characteristic.
Description
Technical field
The present invention relates to a kind of open-circuit voltage and SOC functional relation optimization method, this method is opened for Li-ion batteries piles
Road voltage and SOC functional relation optimization aim, comprehensively consider accuracy and the computation complexity of mathematical character, construct open circuit electricity
Pressure(Open Circuit Voltage, OCV)With state-of-charge(State of Charge, SOC)Between OCV-SOC function close
It is optimization method, by intermittent discharge experimental analysis and Polynomial curve-fit, realizing lithium ion battery, OCV-SOC is closed in groups
The Efficient Characterization of system;OCV-SOC functional relation optimization method in intermittent discharge and on the basis of shelve experiment, realize its relationship from
The acquisition of scatterplot, binding curve fitting obtain functional relation between the two;OCV-SOC functional relation optimization method is dynamic in mixing
Power pulse ability characteristics(Hybrid Pulse Power Characteristic, HPPC)On the basis of test experiments, pass through charge and discharge
Electric process influences complementary mode and is quickly obtained OCV-SOC functional relation;OCV-SOC functional relation optimization method is in comparative analysis
On the basis of the different polynomial OCV-SOC functional relation fitting effects of number, in conjunction with six times based on least square method
Fitting of a polynomial obtains good OCV-SOC functional relation performance matching effect;This method fully consider lithium ion battery at
On group working foundation, optimize in conjunction with OCV-SOC functional relation, realizes the accurate mathematics to Li-ion batteries piles open circuit voltage characteristic
Description;This method is a kind of Li-ion batteries piles open-circuit voltage based on modern control theory and SOC functional relation optimization method,
Belong to new energy measurement and control area.
Background technique
In the real-time power management application process of aviation Li-ion batteries piles BMS, between parameter SOC and parameter OCV
Relationship is used as the parameters revision of SOC value.The open-circuit voltage parameter for setting aviation Li-ion batteries piles uses variableU 0It indicates,
Electromotive force uses parameterU s It indicates, electrode overpotential voltage uses parameterU g It indicates, operating voltage uses parameterU L It indicates, internal resistance
Voltage drop uses parameterU r It indicates, the OCV of aviation Li-ion batteries piles seeks expression formula and isU 0=U s -U g , aviation lithium ion battery
Group operating voltage expression formula of seeking beU L = U 0-U r .By way of intermittent discharge and shelving, its relationship discrete point is realized
It obtains, by way of curve matching, obtains precise relation between the two.By the open-circuit voltage OCV and electricity that obtain battery
Relationship, that is, OCV-SOC curve between the state-of-charge SOC of pond, realizes the setting and amendment of the accurate initial parameter of estimation process.
By selecting aviation Li-ion batteries piles experiment sample, and the parameters such as voltage, electric current and temperature are combined, its working characteristics mould is unfolded
Draft experiment.The changing rule of OCV-SOC relationship discrete point is obtained by experiment, and is obtained fitting by way of curve matching and closed
It is curve.
Open-circuit voltage parameterU OC It is extremely important in aviation Li-ion batteries piles equivalent model, accurately to measure the big of its value
It is small.The long period is shelved it is generally necessary to which the battery of working condition is taken off, for removing polarization phenomena and its introduced stagnant
Aftereffect needs to expend many times in this way.
For Li-ion batteries piles open-circuit voltage and SOC functional relation optimization aim, by being closed to different OCV-SOC functions
It is that acquiring method is studied, binding curve is fitted implementation method and effect analysis, explores and proposes accurate characterization lithium ion
The OCV-SOC functional relation of battery open circuit voltage characteristic optimizes acquiring method.
Summary of the invention
The purpose of the present invention is overcome existing Li-ion batteries piles open-circuit voltage and SOC functional relation acquiring method not
Foot, provides a kind of Li-ion batteries piles OCV-SOC functional relation optimization method, solve lithium ion battery apply in groups in open circuit it is electric
Press the function characterization problems of characteristic.
Present invention is mainly used for seeking Li-ion batteries piles OCV-SOC functional relation, by intermittent discharge experimental analysis and
Polynomial curve-fit realizes the Efficient Characterization of lithium ion battery OCV-SOC relationship in groups;This method intermittent discharge with put
On the basis of setting experiment, realize that the acquisition of its relationship discrete point, binding curve fitting obtain functional relation between the two;The party
Method is quickly obtained OCV-SOC functional relation in such a way that charge and discharge process influences complementation on the basis of HPPC test experiments;It should
Method is on the basis of comparative analysis difference number polynomial OCV-SOC functional relation fitting effect, in conjunction with least square
Six order polynomials fitting based on method, obtains good OCV-SOC functional relation performance matching effect;This method is sufficiently being examined
Worry lithium ion battery on working foundation, optimizes in groups in conjunction with OCV-SOC functional relation, realizes to Li-ion batteries piles open-circuit voltage
The accurate mathematical description of characteristic.
The present invention is combined based on Li-ion batteries piles open-circuit voltage Analysis of Working Performance and modern control theory research
Mode, the Li-ion batteries piles open-circuit voltage and SOC functional relation optimization method of realization, has stronger applicability;For lithium
Ion battery group open-circuit voltage operating characteristic describes target, and the present invention carries out the optimization of OCV-SOC functional relation acquiring method, realizes
The mathematical description of OCV-SOC functional relation in groups;OCV-SOC functional relation optimization method of the present invention passes through based on the spy that works in groups
Property analysis, in conjunction with the comparative study of Polynomial curve-fit effect, realize the reliable calculating of OCV-SOC functional relation;?
It has a rest on the basis of discharging and shelving experiment, realizes the acquisition of its mathematical relationship discrete point;On the basis of HPPC test experiments, pass through
Charge and discharge process influences complementation and is quickly obtained its functional relation;The polynomial OCV-SOC functional relation of comparative analysis difference number
On the basis of fitting effect, the functional relation performance matching based on least square method is realized;The present invention can be to lithium-ion electric
Pond group open-circuit voltage working characteristics carries out accurate description, has the advantages that calculating is succinct, adaptability is good and with high accuracy.
Detailed description of the invention
Fig. 1 is Li-ion batteries piles OCV-SOC functional relation schematic diagram of the present invention.
Fig. 2 is that Li-ion batteries piles distinct methods of the present invention seek Contrast on effect schematic diagram.
Specific embodiment
Below by Li-ion batteries piles open-circuit voltage of the invention in conjunction with SOC functional relation optimization method attached drawing make into
The detailed description of one step;Open-circuit voltage and SOC functional relation optimization problem, mention when the present invention applies in groups for lithium ion battery
Gone out the OCV-SOC functional relation optimization method between a kind of open-circuit voltage and state-of-charge, by intermittent discharge experimental analysis and
Polynomial curve-fit realizes the Efficient Characterization of lithium ion battery OCV-SOC relationship in groups;The optimization of OCV-SOC functional relation
Method realizes that the acquisition of its mathematical relationship discrete point, binding curve fitting obtain on the basis of intermittent discharge is with experiment is shelved
Functional relation between the two;OCV-SOC functional relation optimization method is in hybrid power pulse ability characteristics HPPC test experiments
On the basis of, OCV-SOC functional relation is quickly obtained in such a way that charge and discharge process influences complementation;OCV-SOC functional relation is excellent
Change method is on the basis of comparative analysis difference number polynomial OCV-SOC functional relation fitting effect, in conjunction with minimum two
Six order polynomials fitting based on multiplication, obtains good OCV-SOC functional relation performance matching effect;This method is abundant
Consider that lithium ion battery on working foundation, optimizes in groups in conjunction with OCV-SOC functional relation, realizes to Li-ion batteries piles open circuit electricity
Press the accurate mathematical description of characteristic, construction open-circuit voltage and SOC functional relation prioritization scheme;In order to preferably embody the present invention,
It is only illustrated by taking aviation Li-ion batteries piles as an example in the present embodiment, but those skilled in the art are should well know that according to this
The open-circuit voltage of a variety of Li-ion batteries piles may be implemented in the technical idea of invention and SOC functional relation optimizes;Below to lithium from
The realization step of sub- battery open circuit voltage and SOC functional relation optimization method is described in detail.
Referring to Fig. 1, the present invention is in the work for fully considering the high current multiplying power discharging in actual condition, the charging of low current multiplying power
Make environment, chooses 0.20C5A constant-current charge and 1.00C5The experiment of A constant-current discharge is as the foundation for seeking its functional relation, to improve
To the adaptability of operating condition;In finding process, ampere-hour integral capacity variable quantity when by using charge or discharge terminal is as base
Quasi- value, is handled by equal part, obtains closed circuit voltage when different SOC values;On this basis, different SOC values are sought in charge and discharge
The average value of corresponding closed circuit voltage value in the process, and as the open-circuit voltage values after optimization, it is tested and is calculated and obtained
The data obtained;In figure, UL_Charge_02C 0.2C5OCV value when the different SOC obtained under A intermittent charge current condition,
UL_DisCha_1C is 1 C5OCV value when the different SOC obtained under A intermittent discharge current condition, UL_Avr_1C02C bis-
Average value between person;In turn, by this being sought the functional relation after relationship and original OCV-SOC relationship, fitting, Yi Jiji
In 1.00C5A constant-current charge and 1.00C5The functional relation of A constant-current discharge is sought result and is compared, can with verify this thinking
It is as shown in Figure 2 to obtain experimental result for row.
Referring to fig. 2, Li-ion batteries piles OCV-SOC relationship of the invention, the effect obtained by comparing distinct methods are bent
Line obtains;In figure, UOC is the open-circuit voltage values that direct HPPC test obtains, and UOC2 is to be obtained based on least square method Function Fitting
The OCV-SOC change curve obtained, UL_Avr_1C1C 1.00C5A constant-current charge and 1.00C5The OCV-SOC that A constant-current discharge obtains
Functional relation, UL_Avr_1C02C 0.20C5A constant-current charge and 1.00C5The OCV-SOC functional relation that A constant-current discharge obtains;
According to the experimental results, it is based on 0.20C5A constant-current charge and 1.00C5The experimental result of A constant-current discharge has more accurate description
Effect;With 1.00C5A constant-current charge and 1.00C5The result of A constant-current discharge is compared, and is had and is closed closer to original OCV-SOC function
The characteristics of being;Compared with the acquiring method that primitive stage property is discharged and is shelved, have in low SOC value closer to battery work
The characteristics of making characteristic variations;Therefore this optimization method has reasonability, and then carries out curve fitting, and obtains and optimizes between the latter two
Functional relation;By the functional relation fitting effect in the case of comparative analysis different rank, chooses 6 order polynomials and be fitted conduct
Its fitting function relationship, calculation expression are as shown in Equation 1.
(1)
In above-mentioned expression formula, variable is usedφCharacterize the SOC value of aviation Li-ion batteries piles, variableU OC Indicate aviation lithium from
The open-circuit voltage OCV value of sub- battery pack.Coefficient in state space equation is by being fitted the experimental data curve in figure
It obtains, the value of each term coefficient is:A0=22.46, a1=53.26, a2=- 315.08, a3=920.68, a4=- 1380.58, a5=
1027.01 a6=- 298.89;It is calculated using functional relation expression formula, obtains corresponding OCV value in the case of different SOC.Root
According to experimental result it is found that constructed fit equation has good characterization to the simulation of aviation Li-ion batteries piles working characteristics
Effect;Found in SOC estimation process in the case where complexity simulates operating condition, between the SOC value that SOC estimated value and Ah integral obtain there are still
Systematic error;By experimental analysis it is found that the systematic error be still as open-circuit voltage it is inaccurate caused by, and in entirety
In OCV-SOC functional relation, the OCV value of interlude is relatively low;In 0.20C5In A charging process, voltage value variation is relatively low, and with
1C5A discharge process has asymmetry.
In conclusion the present invention comprehensively considers for Li-ion batteries piles open-circuit voltage and SOC functional relation optimization aim
Computational complexity and functional relation characterization accuracy propose OCV-SOC functional relation optimization method, in Li-ion batteries piles difference
On the basis of current ratio experimental analysis, using polynomial function optimized relation, realize that effective mathematics to open-circuit voltage in organizing is retouched
It states, provides basis for the identification of Li-ion batteries piles equivalent circuit model parameter, SOC estimation and working condition real-time monitoring.
Above embodiments of the invention have only carried out open-circuit voltage and SOC functional relation by taking aviation Li-ion batteries piles as an example
The explanation of optimization, but it is understood that, those skilled in the art without departing from the spirit and scope of the invention can to its into
Row is arbitrary to be changed and changes.
Claims (5)
1. a kind of open-circuit voltage and SOC functional relation optimization method, which is characterized in that propose a kind of open-circuit voltage(Open
Circuit Voltage, OCV)With state-of-charge(State of Charge, SOC)Between OCV-SOC functional relation optimization side
Method realizes the effective of lithium ion battery OCV-SOC relationship in groups by intermittent discharge experimental analysis and Polynomial curve-fit
Characterization.
2. a kind of open-circuit voltage according to claim 1 and SOC functional relation optimization method, which is characterized in that OCV-SOC
Functional relation optimization method realizes the acquisition of its mathematical relationship discrete point on the basis of intermittent discharge is with experiment is shelved, in conjunction with
Curve matching obtains functional relation between the two.
3. a kind of open-circuit voltage according to claim 1 and SOC functional relation optimization method, which is characterized in that OCV-SOC
Functional relation optimization method is in hybrid power pulse ability characteristics(Hybrid Pulse Power Characteristic,
HPPC)On the basis of test experiments, OCV-SOC functional relation is quickly obtained in such a way that charge and discharge process influences complementation.
4. a kind of open-circuit voltage according to claim 1 and SOC functional relation optimization method, which is characterized in that OCV-SOC
Functional relation optimization method is on the basis of comparative analysis difference number polynomial OCV-SOC functional relation fitting effect, knot
The six order polynomials fitting based on least square method is closed, good OCV-SOC functional relation performance matching effect is obtained.
5. a kind of open-circuit voltage according to claim 1 and SOC functional relation optimization method, which is characterized in that this method
It is fully considering that lithium ion battery in groups on working foundation, optimizes in conjunction with OCV-SOC functional relation, is realizing to Li-ion batteries piles
The accurate mathematical description of open circuit voltage characteristic.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810335636.XA CN108829911A (en) | 2018-04-16 | 2018-04-16 | A kind of open-circuit voltage and SOC functional relation optimization method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810335636.XA CN108829911A (en) | 2018-04-16 | 2018-04-16 | A kind of open-circuit voltage and SOC functional relation optimization method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108829911A true CN108829911A (en) | 2018-11-16 |
Family
ID=64154516
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810335636.XA Pending CN108829911A (en) | 2018-04-16 | 2018-04-16 | A kind of open-circuit voltage and SOC functional relation optimization method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108829911A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110018426A (en) * | 2019-03-11 | 2019-07-16 | 中国航发北京航空材料研究院 | A kind of measurement method that the partial molal entropy for cell health state monitoring becomes |
CN111505511A (en) * | 2020-04-30 | 2020-08-07 | 北京嘀嘀无限科技发展有限公司 | Method for measuring capacity of single battery cell of electric vehicle, electronic equipment and storage medium |
CN111638462A (en) * | 2020-04-14 | 2020-09-08 | 南京航空航天大学 | SOC-OCV (State of Charge-Voltage control) piecewise fitting method |
CN111722118A (en) * | 2020-06-22 | 2020-09-29 | 上海理工大学 | Lithium ion battery SOC estimation method based on SOC-OCV optimization curve |
CN113009361A (en) * | 2021-03-13 | 2021-06-22 | 福州大学 | Battery state of charge estimation method based on open circuit voltage calibration |
WO2023197939A1 (en) * | 2022-04-14 | 2023-10-19 | 长城汽车股份有限公司 | Ocv-soc calibration method and apparatus, ocv-soc estimation method and apparatus, and medium and vehicle |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106093517A (en) * | 2016-05-30 | 2016-11-09 | 广西大学 | Lithium ion battery open circuit voltage curve approximating method based on Hermite's interpolation method |
CN106443473A (en) * | 2016-10-09 | 2017-02-22 | 西南科技大学 | SOC estimation method for power lithium ion battery group |
US20170176540A1 (en) * | 2014-03-03 | 2017-06-22 | Panasonic Intellectual Property Management Co., Ltd. | Battery state estimation device and method of estimating battery state |
-
2018
- 2018-04-16 CN CN201810335636.XA patent/CN108829911A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170176540A1 (en) * | 2014-03-03 | 2017-06-22 | Panasonic Intellectual Property Management Co., Ltd. | Battery state estimation device and method of estimating battery state |
CN106093517A (en) * | 2016-05-30 | 2016-11-09 | 广西大学 | Lithium ion battery open circuit voltage curve approximating method based on Hermite's interpolation method |
CN106443473A (en) * | 2016-10-09 | 2017-02-22 | 西南科技大学 | SOC estimation method for power lithium ion battery group |
Non-Patent Citations (5)
Title |
---|
SHUNLI WANG 等: "An integrated online adaptive state of charge estimation approach of high-power lithium-ion battery packs", 《TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL》 * |
凡旭国 等: "锂离子电池特性建模与SOC估算算法的研究", 《微型机与应用》 * |
唐哲慈 等: "电动汽车动力电池测试、建模与仿真", 《电源技术》 * |
王露 等: "锂离子电池等效模型建立与参数辨识方法研究", 《电源世界》 * |
肖璆 等: "车用锂离子超级电容的性能实验与建模研究", 《电源技术》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110018426A (en) * | 2019-03-11 | 2019-07-16 | 中国航发北京航空材料研究院 | A kind of measurement method that the partial molal entropy for cell health state monitoring becomes |
CN111638462A (en) * | 2020-04-14 | 2020-09-08 | 南京航空航天大学 | SOC-OCV (State of Charge-Voltage control) piecewise fitting method |
CN111638462B (en) * | 2020-04-14 | 2021-05-11 | 南京航空航天大学 | SOC-OCV (State of Charge-Voltage control) piecewise fitting method |
CN111505511A (en) * | 2020-04-30 | 2020-08-07 | 北京嘀嘀无限科技发展有限公司 | Method for measuring capacity of single battery cell of electric vehicle, electronic equipment and storage medium |
CN111505511B (en) * | 2020-04-30 | 2021-10-01 | 北京嘀嘀无限科技发展有限公司 | Method for measuring capacity of single battery cell of electric vehicle, electronic equipment and storage medium |
CN111722118A (en) * | 2020-06-22 | 2020-09-29 | 上海理工大学 | Lithium ion battery SOC estimation method based on SOC-OCV optimization curve |
CN111722118B (en) * | 2020-06-22 | 2023-02-10 | 上海理工大学 | Lithium ion battery SOC estimation method based on SOC-OCV optimization curve |
CN113009361A (en) * | 2021-03-13 | 2021-06-22 | 福州大学 | Battery state of charge estimation method based on open circuit voltage calibration |
WO2023197939A1 (en) * | 2022-04-14 | 2023-10-19 | 长城汽车股份有限公司 | Ocv-soc calibration method and apparatus, ocv-soc estimation method and apparatus, and medium and vehicle |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen et al. | Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks | |
CN105301509B (en) | The combined estimation method of charge states of lithium ion battery, health status and power rating | |
CN108829911A (en) | A kind of open-circuit voltage and SOC functional relation optimization method | |
Roscher et al. | Reliable state estimation of multicell lithium-ion battery systems | |
CN104181470B (en) | Battery state-of-charge (SOC) estimation method based on nonlinear prediction extended Kalman filtering | |
Huria et al. | Simplified extended kalman filter observer for soc estimation of commercial power-oriented lfp lithium battery cells | |
JP6509725B2 (en) | Estimating the state of charge of the battery | |
CN107991623A (en) | It is a kind of to consider temperature and the battery ampere-hour integration SOC methods of estimation of degree of aging | |
Li et al. | A new parameter estimation algorithm for an electrical analogue battery model | |
CN110146822A (en) | A kind of Vehicular dynamic battery capacity On-line Estimation method based on constant-current charge process | |
EP3433628A1 (en) | An energy storage device monitoring technique | |
US20220179003A1 (en) | Characterisation of lithium plating in rechargeable batteries | |
CN110632528A (en) | Lithium battery SOH estimation method based on internal resistance detection | |
CN107894570B (en) | Method and device for estimating SOC (state of charge) of battery pack based on Thevenin model | |
CN110795851A (en) | Lithium ion battery modeling method considering environmental temperature influence | |
CN104965179A (en) | Lithium ion storage battery temperature combinational circuit model and parameter identification method thereof | |
CN110568373A (en) | Lithium battery health state evaluation method, system, terminal and storage medium | |
Zhu et al. | The SOH estimation of LiFePO4 battery based on internal resistance with Grey Markov Chain | |
US11579201B2 (en) | Method and system for identifying third-order model parameters of lithium battery based on likelihood function | |
Qiu et al. | Battery hysteresis modeling for state of charge estimation based on Extended Kalman Filter | |
CN112557906A (en) | SOC and capacity online joint estimation method in full life cycle of power battery | |
CN113567861B (en) | Estimation method of power battery health state | |
CN105717455A (en) | Selection method for single battery SOC (State of Charge) and capacity estimation algorithm of battery pack | |
CN108169687A (en) | A kind of accumulator SOC estimation method based on cloud platform | |
CN116973756A (en) | Method and apparatus for estimating state of health of battery and computer program |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181116 |
|
RJ01 | Rejection of invention patent application after publication |