CN113335135A - Method and device for determining battery health state and charging pile - Google Patents
Method and device for determining battery health state and charging pile Download PDFInfo
- Publication number
- CN113335135A CN113335135A CN202110539338.4A CN202110539338A CN113335135A CN 113335135 A CN113335135 A CN 113335135A CN 202110539338 A CN202110539338 A CN 202110539338A CN 113335135 A CN113335135 A CN 113335135A
- Authority
- CN
- China
- Prior art keywords
- charging
- battery
- corresponding relation
- nth
- determining
- 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
- 238000007600 charging Methods 0.000 title claims abstract description 289
- 230000036541 health Effects 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004590 computer program Methods 0.000 claims description 12
- 230000008859 change Effects 0.000 abstract description 20
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000010278 pulse charging Methods 0.000 description 13
- 230000000630 rising effect Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 7
- 238000001514 detection method Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 101100134058 Caenorhabditis elegans nth-1 gene Proteins 0.000 description 4
- 238000010277 constant-current charging Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 230000001360 synchronised effect Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000005562 fading Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010280 constant potential charging Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
-
- 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
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application provides a method for determining the state of health of a battery, comprising: when charging for the Nth time, acquiring a first corresponding relation and a second corresponding relation, wherein the first corresponding relation is used for representing the corresponding relation between the charging internal resistance and the charging times when the battery is charged for the previous N times, and the second corresponding relation is used for representing the corresponding relation between the battery capacity and the charging times when the battery is charged for the previous N times; and determining whether the battery is in a healthy state during the Nth charging according to the first corresponding relation and the second corresponding relation. The method provided by the application can accurately predict the health state of the battery through the change of the charging internal resistance along with the charging times and the change of the battery capacity along with the charging times, is efficient and quick in monitoring the health state of the battery, and realizes the flexibility of detecting the health state of the battery.
Description
Technical Field
The invention belongs to the technical field of electric automobiles, and particularly relates to a method and a device for determining the health state of a battery and a charging pile.
Background
With the increasing application of new energy vehicles, the health state of the power battery is more and more emphasized by vehicle owners, manufacturers, battery echelon utilization and recovery enterprises, detection mechanisms and the like. Without accurate determination of the state of health of the battery, reasonable energy management of the vehicle cannot be performed, and accurate assessment of the vehicle value cannot be completed. Therefore, the evaluation of the health state of the power battery is necessary.
In the prior art, a measurement device is required to measure a complete charging cycle to obtain available State of Charge (SOC) data of the remaining Charge in the battery, and even characteristic parameters such as internal resistance and temperature are additionally provided to calculate the health State. Therefore, the prior art methods have many limitations in practical applications.
Therefore, a system or a method for evaluating the state of health of a battery is needed to solve the drawbacks of the prior art, and further, the low-cost, real-time, online and accurate evaluation of the state of health of a power battery can be realized.
Disclosure of Invention
The invention provides a method for evaluating the life cycle of a battery, which effectively solves the problem that the health state of the battery cannot be known on line in real time and improves the flexibility of detecting the health state of the battery.
A first aspect provides a method of determining a state of health of a battery, the method comprising: when charging for the Nth time, acquiring a first corresponding relation and a second corresponding relation, wherein the first corresponding relation is used for representing the corresponding relation between the charging internal resistance and the charging times when the battery is charged for the previous N times, the second corresponding relation is used for representing the corresponding relation between the battery capacity and the charging times when the battery is charged for the previous N times, and whether the battery is in a healthy state or not during the Nth time charging is determined according to the first corresponding relation and the second corresponding relation.
In the method for determining the state of health of the battery provided in the first aspect, when the battery is charged, it is predicted whether the battery is currently in the state of health at the time of the nth charging according to the relationship between the charging internal resistance and the charging frequency of the previous N times of charging of the battery and the corresponding relationship between the battery capacity and the charging frequency of the previous N times of charging. The method provided by the application can accurately predict the health state of the battery through the change of the charging internal resistance along with the charging times and the change of the battery capacity along with the charging times, is efficient, quickly realizes the online monitoring of the health state of the battery, and improves the flexibility of the detection of the health state of the battery.
Optionally, determining the charging internal resistance and the battery capacity at the nth charging according to the first corresponding relationship and the second corresponding relationship; and when the charging internal resistance is smaller than or equal to a preset first threshold value during the Nth charging, and the battery capacity is larger than or equal to a preset second threshold value, determining that the battery is in a healthy state. In the implementation mode, the charging internal resistance and the battery capacity in the Nth charging can be predicted according to the first corresponding relation and the second corresponding relation in the previous N times of charging, and whether the battery is in a healthy state or not can be conveniently and quickly determined according to the threshold condition.
Optionally, according to the first corresponding relationship and the second corresponding relationship, determining a first charging frequency corresponding to the charging internal resistance being greater than a preset first threshold value and a second charging frequency corresponding to the battery capacity being greater than a preset second threshold value; and determining the residual charging times of the battery according to the first charging times and/or the second charging times. In this implementation manner, the charging frequency when the charging frequency is greater than the threshold is determined according to the first corresponding relationship and the second corresponding relationship in the previous N times of charging, and according to the first threshold preset for the internal charging resistance and the second threshold preset for the battery capacity, and the remaining charging frequency of the battery is predicted, so as to determine the remaining life of the battery.
Optionally, the open-circuit voltage, the charging voltage and the charging current during each charging in the previous N times of charging are obtained; and respectively calculating the charging internal resistance of each charging in the previous N times of charging according to the open-circuit voltage, the charging voltage and the charging current in each charging. In this implementation, the charging internal resistance at each charging is calculated based on the open-circuit voltage, the charging voltage, and the charging current measured at each charging, thereby establishing a first correspondence between the charging internal resistance and the number of times of charging.
Optionally, the battery capacity in the first open-circuit voltage interval during each charging of the previous N times is obtained; and determining the battery capacity during the previous N times of charging according to the battery capacity in the first open-circuit voltage interval during each time of charging. In this implementation, the battery capacity in the first open-circuit voltage interval is measured according to each charge, thereby establishing a second correspondence between the battery capacity and the number of charges. The first open-circuit voltage interval is a fixed open-circuit voltage interval.
Optionally, the battery capacity and internal charging resistance at each charge are related to the temperature at which the battery is at each charge. In the implementation mode, because the external environment where the battery is located is different and the environmental temperature is different during each charging, the change relation between the battery capacity and the charging internal resistance along with the temperature change during each charging can be obtained, which is beneficial to evaluating the trend of the battery along with the change of the environmental temperature and is also one evaluation of the temperature performance of the battery.
In a second aspect, there is provided an apparatus for determining a state of health of a battery, the apparatus comprising means for performing the steps of the above first aspect or any possible implementation manner of the first aspect.
In a third aspect, an apparatus for determining a state of health of a battery is provided, the apparatus comprising at least one processor and a memory, the at least one processor being configured to perform the method of the first aspect above or any possible implementation manner of the first aspect.
In a fourth aspect, an apparatus for determining a state of health of a battery is provided, the apparatus comprising at least one processor and an interface circuit, the at least one processor being configured to perform the method of the first aspect above or any possible implementation of the first aspect.
In a fifth aspect, there is provided a charging pile comprising any one of the devices for determining the state of health of a battery as provided in the second, third or fourth aspects above.
A sixth aspect provides a computer program product comprising a computer program for performing the method of the first aspect or any possible implementation form of the first aspect when executed by a processor.
In a seventh aspect, a computer-readable storage medium is provided, in which a computer program is stored, which, when executed, is adapted to perform the method of the first aspect or any possible implementation manner of the first aspect.
In an eighth aspect, there is provided a chip or an integrated circuit, comprising: a processor configured to invoke and run the computer program from the memory, so that the device on which the chip or the integrated circuit is installed performs the method of the first aspect or any possible implementation manner of the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
the application provides a method for determining the health state of a battery, wherein when the battery is charged, whether the battery is in the health state at present or not is predicted according to the relationship between the charging internal resistance and the charging frequency of the previous N times of charging of the battery and the corresponding relationship between the battery capacity and the charging frequency of the previous N times of charging. The method provided by the application can accurately predict the health state of the battery through the change of the charging internal resistance along with the charging times and the change of the battery capacity along with the charging times, is efficient, quickly realizes the online monitoring of the health state of the battery, and improves the flexibility of the detection of the health state of the battery.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic diagram illustrating a flow chart of an implementation of determining a state of health of a battery according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating an implementation flow for determining an open-circuit voltage of a battery according to an embodiment of the present application;
fig. 3 is a schematic waveform diagram illustrating a variation of a pulse signal x (t) with time t according to an embodiment of the present application;
FIG. 4 shows a schematic block diagram of a device 400 for determining battery state of health according to an embodiment of the present application;
fig. 5 shows a schematic block diagram of a charging pile 500 according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of the present application, "a plurality" means two or more unless otherwise specified.
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
These and other aspects of embodiments of the invention will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the ways in which the principles of the embodiments of the invention may be practiced, but it is understood that the scope of the embodiments of the invention is not limited correspondingly. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
A method for determining a state of health of a battery provided in the present application is described in detail below with reference to fig. 1, and fig. 1 is a schematic flow chart of determining a state of health of a battery according to an embodiment of the present application. As shown in fig. 1, the method 100 includes S110 to S120.
S110, when charging for the Nth time, acquiring a first corresponding relation and a second corresponding relation, wherein the first corresponding relation is used for representing the corresponding relation between the charging internal resistance and the charging times when the battery is charged for the previous N times, and the second corresponding relation is used for representing the corresponding relation between the battery capacity and the charging times when the battery is charged for the previous N times.
First, in order to determine whether the battery is in a healthy state, when the battery is charged N times, a first correspondence between the charging internal resistance and the number of times of the previous N-time charging and a second correspondence between the battery capacity and the number of times need to be acquired.
Optionally, as a possible implementation manner, in this embodiment of the application, the charging internal resistance during the previous N times of charging may be calculated by obtaining the open-circuit voltage, the charging voltage, and the charging current during each time of charging.
The manner of obtaining the open-circuit voltage, the charging voltage, and the charging current will be described below.
Fig. 2 is a schematic flow chart of a method for determining an open-circuit voltage of a battery according to an embodiment of the present application. As shown in fig. 2, the method 200 includes S210 to S240.
And S210, performing constant current charging on the battery, and measuring a first voltage of the battery during the constant current charging.
The first stage of charging the battery is rapid charging, and the voltage of the battery is rapidly rushed to a first voltage state, and the charging mode can be a constant voltage charging mode or a constant current charging mode.
Optionally, as a possible implementation manner, in the embodiment of the present application, constant current charging is performed by using a maximum current that can be passed by the battery, and the first voltage state of the battery is measured in real time.
And S220, when the first voltage meets a first threshold value condition, carrying out forward pulse charging on the battery.
When it is detected in real time that the first voltage of the battery meets the first threshold condition, indicating that the fast charging mode of the first stage is completed, the second stage charging mode, i.e. the forward pulse charging stage, may be entered.
It should be noted that the first threshold condition may be set to be that the first voltage is close to the predicted open-circuit voltage, and specifically, the first threshold condition may be adjusted according to the measurement accuracy of the predicted open-circuit voltage, which is not limited in the embodiment of the present application.
Optionally, as a possible implementation manner, in this embodiment, the first threshold condition refers to that the first voltage is 90% to 120% of the predicted open-circuit voltage. Namely, when the measured first voltage is within 90-120% of the predicted open-circuit voltage, the constant-current quick charging is stopped and switched into the forward pulse charging.
Optionally, as a possible implementation manner, in the embodiment of the present application, the current during the forward pulse charging may be 1 to 3C.
Optionally, as a possible implementation manner, in the embodiment of the present application, the pulse width during the forward pulse charging may be 1s to 1 min.
And S230, measuring a second voltage of the battery during the forward pulse charging, and determining the rising rate of the second voltage.
In an embodiment of the present application, the rate of rise of the second voltage is determined by measuring the second voltage of the battery during forward pulse charging.
It should be noted that the second voltage is a voltage measured when the second stage performs the positive pulse charging.
It can be understood that N pulse signals are generated when the battery is subjected to forward pulse charging, wherein N is more than or equal to 2, and N is an integer.
Optionally, as a possible implementation manner, in the embodiment of the present application, the second voltage detection is performed in a time period from a falling edge of the mth pulse signal to a rising edge of the M +1 th pulse signal, where M < N, and M is an integer.
For example, when the forward pulse signal is a square wave signal, fig. 3 shows a waveform diagram of the measurement signal x (t) with time t. The pulse signal of the battery during pulse charging refers to a period from a rising edge of one signal to a rising edge of the next signal, the valid period refers to a period from the rising edge of one signal to the falling edge of the next signal, in the embodiment of the present application, the valid periods of the measurement signal x (t) are 6, and are 3031, 3032, 3033, 3034, 3035 and 3036 respectively, and besides the valid period, the period of the pulse signal also includes a pulse gap, and in the embodiment of the present application, the pulse gap is 5, and is 3011, 3012, 3013, 3014 and 3015 respectively. I.e. the detection of the second voltage can be performed at the 5 pulse gaps.
Optionally, as a possible implementation manner, in the embodiment of the present application, the rising rate of the second voltage refers to a ratio of a voltage difference between time periods t1 and t2 to a time difference between time periods t1 and t 2.
And S240, determining the voltage measured when the rising rate meets a second threshold value condition as the open-circuit voltage of the battery.
When the voltage rising speed is measured at the pulse gap, if the voltage rising speed is too high, the internal concentration difference of the battery is not balanced, and at the moment, an accurate open-circuit voltage cannot be obtained, the pulse charging is required to be continued until the voltage rising speed after the charging is stopped is smaller than a second threshold value, the internal concentration difference of the battery is balanced, and the voltage at the moment is a stable open-circuit voltage. The second threshold may be set according to specific situations, and the embodiment of the present application is not limited.
Optionally, as a possible implementation manner, in the embodiment of the present application, the second threshold condition refers to that the rising speed of the second voltage is 0 to 5 mv/min.
For example, when the electric vehicle is used and the discharging process is finished, the charging in two stages is started, the battery is first rapidly charged in the first stage, the battery is charged with a constant current by using the maximum current allowed by the battery, when the voltage of the battery rises to 90% of the predicted open circuit voltage, the charging is switched to the positive pulse charging, the battery is pulse-charged by using the positive pulse potential 1C and the pulse width 1S, and when the rising speed of the voltage measured at the pulse interval is 0mv/min, that is, the voltage does not rise, the pulse charging is not performed, and the voltage at this time is the accurate open circuit voltage.
Optionally, as a possible implementation manner, in the embodiment of the present application, the charging voltage and the charging current are the real-time charging voltage and the real-time charging current during the test.
Specifically, in order to obtain the first corresponding relationship in the previous N times of charging, a curve of the charging internal resistance and the charging frequency in each time of charging may be drawn, and the corresponding relationship between the charging internal resistance and the charging frequency may be visually obtained, so as to obtain the charging internal resistance variation trend.
Optionally, as a possible implementation manner, in this embodiment of the application, the battery capacity during the previous N times of charging may be obtained by obtaining the battery capacity within the first open-circuit voltage interval during each time of charging.
It is understood that the first open circuit voltage interval is a fixed open circuit voltage interval per charge.
For example, the first open circuit voltage interval in which the open circuit voltage of the battery increases from 1V to 3V is measured for each charge, and the battery capacity corresponding to the open circuit voltage interval is acquired.
Specifically, in order to obtain the second corresponding relationship in the previous N times of charging, a curve of the battery capacity and the charging frequency in each time of charging may be drawn, so as to visually obtain the corresponding relationship between the charging internal resistance and the charging frequency, and visually obtain the battery capacity fading trend.
For example, the first charge is charged from 1V to 3V to 1Ah, and the second charge is charged from 1V to 3V to 0.5Ah, indicating that the battery capacity has decayed by 50%. And by analogy, a fading curve of the battery capacity after multiple times of charging can be obtained.
And S120, determining whether the battery is in a healthy state during the Nth charging according to the first corresponding relation and the second corresponding relation.
According to the first corresponding relation and the second corresponding relation, the change trend of the internal resistance of the previous N times of charging along with the charging times and the change trend of the battery capacity along with the charging times can be obtained, and whether the battery is in a healthy state or not during the Nth charging can be predicted through the change trends.
Optionally, as a possible implementation manner, in this embodiment of the application, the charging internal resistance and the battery capacity at the nth charging time may be predicted according to the first corresponding relationship and the second corresponding relationship, so as to determine whether the battery is in a healthy state at the nth charging time.
Specifically, a curve of the charging internal resistance of the first corresponding relationship along with the change of the charging times is fitted to obtain a curve graph with the horizontal axis as the charging times and the vertical axis as the internal resistance, and the charging internal resistance during the Nth charging can be obtained according to the curve graph; the curve of the battery capacity of the second correspondence relationship with the change of the number of times of charging is fitted to obtain a graph with the horizontal axis as the number of times of charging and the vertical axis as the battery capacity, and the battery capacity at the time of the Nth charging can be obtained from the graph.
And then, according to the obtained charging internal resistance during the Nth charging and the battery capacity during the Nth charging, respectively judging whether the battery is in a healthy state or not according to a preset first threshold value corresponding to the charging internal resistance and a preset second threshold value corresponding to the battery capacity.
Specifically, when the charging internal resistance obtained in the nth charging is less than or equal to a preset first threshold, and when the battery capacity obtained in the nth charging is greater than or equal to a preset second threshold, it is determined that the battery is in a healthy state.
It can be understood that when the charging internal resistance obtained in the nth charging is greater than or equal to the preset first threshold, or when the battery capacity obtained in the nth charging is smaller than the preset second threshold, it is determined that the battery is in an unhealthy state, that is, the user may be advised to stop continuing to use the battery, and the battery may be replaced or returned to the factory for maintenance.
It should be noted that the preset first threshold and the preset second threshold may be set according to specific conditions of the battery, and the embodiment of the present application is not limited.
According to the method for determining the health state of the battery, when the battery is charged, whether the battery is in the health state at present is predicted according to the relation between the charging internal resistance and the charging frequency of the previous N times of charging of the battery and the corresponding relation between the battery capacity and the charging frequency of the previous N times of charging. The method provided by the application can accurately predict the health state of the battery through the change of the charging internal resistance along with the charging times and the change of the battery capacity along with the charging times, is efficient, quickly realizes the online monitoring of the health state of the battery, and improves the flexibility of the detection of the health state of the battery.
Optionally, as a possible implementation manner, in the embodiment of the present application, the remaining charging number of the battery may be predicted through the first corresponding relationship and the second corresponding relationship, where the remaining charging number refers to a number of times that the battery can be charged before the battery reaches the unhealthy state after the nth charging.
Specifically, a curve of the charging internal resistance in the first corresponding relationship along with the change of the charging times is fitted to obtain a graph with the horizontal axis as the charging times and the vertical axis as the internal resistance, and the first charging times when the charging internal resistance reaches the preset first threshold value can be obtained according to the graph.
And fitting a change curve of the battery capacity of the second corresponding relation along with the charging times to obtain a curve graph of which the horizontal axis is the charging times and the vertical axis is the battery capacity, and obtaining the second charging times when the battery capacity reaches a preset second threshold according to the curve graph.
And determining the residual charging times of the battery according to the first charging times and/or the second charging times, namely reminding a user that the battery needs to be replaced or returned to the factory for maintenance when the first charging times are reached, or reminding the user that the battery needs to be replaced or returned to the factory for maintenance when the second charging times are reached.
Optionally, as a possible implementation manner, in the above embodiment, the charging internal resistance and the battery capacity of the battery during the nth charging are preset according to the first corresponding relationship and the second corresponding relationship, and whether the battery during the nth charging is in the healthy state is determined according to the charging internal resistance during the nth charging and the first variation of the charging internal resistance during the N-1 st charging, and the battery capacity during the nth charging and the second variation of the battery capacity during the N-1 st charging.
And then, judging whether the battery is in a healthy state at present according to a preset third threshold and a preset fourth threshold respectively.
Specifically, when a first variation of the charging internal resistance during the nth charging and a first variation of the charging internal resistance during the nth-1 charging are greater than or equal to a preset third threshold, and a second variation of the battery capacity during the nth charging and a second variation of the battery capacity during the nth-1 charging are greater than or equal to a preset fourth threshold, it is determined that the battery is in an unhealthy state, that is, the user can be advised to stop using the battery, and the battery can be replaced or returned to the factory for maintenance.
It is understood that the battery is determined to be in the healthy state when a first variation amount of the charging internal resistance at the nth charging and the charging internal resistance at the N-1 st charging is smaller than a preset third threshold value, and a second variation amount of the battery capacity at the nth charging and the battery capacity at the N-1 st charging is smaller than a preset fourth threshold value.
It should be noted that the preset third threshold and the preset fourth threshold may be set according to specific conditions of the battery, and the embodiment of the present application is not limited.
Optionally, as a possible real-time manner, in this embodiment of the application, the charging internal resistance during the nth charging may be calculated by obtaining the open-circuit voltage, the charging voltage, and the charging current during the nth charging according to the charging internal resistance during the nth charging in the above embodiment. The battery capacity at the nth charge may be obtained by obtaining the battery capacity within the first open voltage interval at the nth charge. And determining whether the battery is in a healthy state or not during the Nth time of battery charging according to the charging internal resistance during the Nth time of battery charging, the first variation of the charging internal resistance during the N-1 th time of battery charging, and the second variation of the battery capacity during the Nth time of battery charging and the battery capacity during the N-1 th time of battery charging.
And judging whether the battery is in a healthy state at present according to a preset third threshold and a preset fourth threshold respectively.
Specifically, when a first variation of the charging internal resistance during the nth charging and a first variation of the charging internal resistance during the nth-1 charging are greater than or equal to a preset third threshold, and a second variation of the battery capacity during the nth charging and a second variation of the battery capacity during the nth-1 charging are greater than or equal to a preset fourth threshold, it is determined that the battery is in an unhealthy state, that is, the user can be advised to stop using the battery, and the battery can be replaced or returned to the factory for maintenance.
It is understood that the battery is determined to be in the healthy state when a first variation amount of the charging internal resistance at the nth charging and the charging internal resistance at the N-1 st charging is smaller than a preset third threshold value, and a second variation amount of the battery capacity at the nth charging and the battery capacity at the N-1 st charging is smaller than a preset fourth threshold value.
Optionally, as a possible implementation manner, the first corresponding relationship and the second corresponding relationship described in the above embodiment are both related to a temperature environment in which the battery is located when the battery is charged, that is, the first corresponding relationship and the second corresponding relationship enable a user to know performance changes of the battery along with temperature changes.
Specifically, a curve of the charging internal resistance and the charging frequency in each charging can be drawn, and the corresponding relationship between the charging internal resistance and the charging frequency can be visually obtained. Plotting the battery capacity at the previous N times of charging may be performed by obtaining the battery capacity within the first open-circuit voltage interval at each time of charging. The trend of the change of the internal resistance and the battery capacity in each charging along with the temperature change can be obtained.
Fig. 4 shows a block diagram of a device for determining a state of health of a battery according to an embodiment of the present application, which corresponds to the method for determining a state of health of a battery according to the foregoing embodiment, and only shows portions related to the embodiment of the present application for convenience of explanation.
Referring to fig. 4, the apparatus 400 comprises a processing unit 401 for: and when the charging is carried out for the Nth time, acquiring the first corresponding relation and the second corresponding relation. And determining whether the battery is in a healthy state during the Nth charging according to the first corresponding relation and the second corresponding relation.
The processing unit 401 is further configured to determine a charging internal resistance and a battery capacity at the nth charging according to the first corresponding relationship and the second corresponding relationship; and when the charging internal resistance is smaller than or equal to a preset first threshold value during the Nth charging, and the battery capacity is larger than or equal to a preset second threshold value, determining that the battery is in a healthy state.
The processing unit 401 is further configured to determine, according to the first corresponding relationship and the second corresponding relationship, a first charging number corresponding to when the charging internal resistance is greater than a preset first threshold and a second charging number corresponding to when the battery capacity is greater than a preset second threshold; and determining the residual charging times of the battery according to the first charging times and/or the second charging times.
The processing unit 401 is further configured to obtain an open-circuit voltage, a charging voltage, and a charging current during each charging in the previous N times of charging; and respectively calculating the charging internal resistance of the previous N times of charging according to the open-circuit voltage, the charging voltage and the charging current of each time of charging.
The processing unit 401 is further configured to obtain a battery capacity in a first open-circuit voltage interval during each charging of the previous N times; and determining the battery capacity during the previous N times of charging according to the battery capacity in the first open-circuit voltage interval during each time of charging.
The embodiment of the application further provides a charging pile, and fig. 5 is a schematic structural diagram of the charging pile provided by the embodiment of the application. As shown in fig. 5, the charging pole 500 includes a processor 501, a memory 502, a communication interface 503, and a bus 504. The processor 501, the memory 502, the communication interface 503, and the bus 504 may communicate with each other by other means such as wireless transmission. The memory 502 is used to store instructions, the processor 501 is used to execute the instructions stored by the memory 502, the memory 502 stores program code 5021, and the processor 501 may call the program code 5021 stored in the memory 502 to perform the method of determining battery health shown in fig. 1.
It should be understood that in the embodiments of the present application, the processor 501 may be a CPU, and the processor 501 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or any conventional processor or the like.
The memory 502 may include both read-only memory and random access memory, and provides instructions and data to the processor 501. Memory 502 may also include non-volatile random access memory. The memory 502 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and direct bus RAM (DR RAM).
The bus 504 may include a power bus, a control bus, a status signal bus, and the like, in addition to a data bus. But for clarity of illustration the various busses are labeled in figure 5 as the bus 504.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded or executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a Solid State Drive (SSD).
Embodiments of the present application also provide a computer readable medium for storing a computer program code, where the computer program includes instructions for executing the method for determining the state of health of the battery according to the embodiments of the present application in the method 100 described above. The readable medium may be a read-only memory (ROM) or a Random Access Memory (RAM), which is not limited in this embodiment of the present application.
The present application also provides a computer program product comprising instructions that, when executed, cause the apparatus or charging post to perform operations corresponding to the method 100 described above, respectively.
An embodiment of the present application further provides a system chip, where the system chip includes: a processing unit, which may be, for example, a processor, and a communication unit, which may be, for example, an input/output interface, a pin or a circuit, etc. The processing unit can execute computer instructions to enable the chip in the charging pile to execute any one of the methods for determining the state of health of the battery provided by the embodiment of the application.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method of determining a state of health of a battery, the method comprising:
when charging for the Nth time, acquiring a first corresponding relation and a second corresponding relation, wherein the first corresponding relation is used for representing the corresponding relation between the charging internal resistance and the charging times when the battery is charged for the previous N times, and the second corresponding relation is used for representing the corresponding relation between the battery capacity and the charging times when the battery is charged for the previous N times;
and determining whether the battery is in a healthy state or not in the Nth charging according to the first corresponding relation and the second corresponding relation.
2. The method of claim 1, wherein the determining whether the battery is in a healthy state at the nth charging according to the first corresponding relationship and the second corresponding relationship comprises:
determining the charging internal resistance and the battery capacity in the Nth charging according to the first corresponding relation and the second corresponding relation;
and when the charging internal resistance is smaller than or equal to a preset first threshold value during the Nth charging, and the battery capacity is larger than or equal to a preset second threshold value, determining that the battery is in a healthy state.
3. The method of claim 1, wherein determining whether the battery is in a healthy state at the nth charging according to the first and second correspondences further comprises:
according to the first corresponding relation and the second corresponding relation, determining a first charging frequency corresponding to the charging internal resistance being larger than the preset first threshold value and a second charging frequency corresponding to the battery capacity being smaller than the preset second threshold value;
and determining the residual charging times of the battery according to the first charging times and/or the second charging times.
4. The method according to claim 2, wherein the obtaining the first correspondence and the second correspondence when the nth charging is performed includes:
acquiring open-circuit voltage, charging voltage and charging current of each charging in the previous N times of charging;
and respectively calculating the charging internal resistance of the previous N times of charging according to the open-circuit voltage, the charging voltage and the charging current of each time of charging.
5. The method according to claim 2, wherein the obtaining the first correspondence and the second correspondence when the nth charging is performed further comprises:
acquiring the battery capacity in a first open-circuit voltage interval during each charging in the previous N times of charging;
and determining the battery capacity during the previous N times of charging according to the battery capacity in the first open-circuit voltage interval during each time of charging.
6. The method of any one of claims 1-5, wherein the battery capacity and internal charging resistance at each charge is related to the temperature at which the battery is at each charge.
7. An apparatus for determining battery state of health, comprising: a processor and a memory; coupled to the processor and a memory storing program instructions that, when executed by the processor, perform the method of any of claims 1 to 6.
8. A charging pole comprising the apparatus of claim 7, the charging pole being configured to perform the method of any of claims 1-6.
9. A computer-readable storage medium, in which a computer program is stored, the computer program comprising program instructions which, when executed by a processor, cause the processor to carry out the method according to any one of claims 1 to 6.
10. A chip, comprising: a processor for calling and running a computer program from a memory so that a charging post having the chip installed therein performs the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110539338.4A CN113335135A (en) | 2021-05-18 | 2021-05-18 | Method and device for determining battery health state and charging pile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110539338.4A CN113335135A (en) | 2021-05-18 | 2021-05-18 | Method and device for determining battery health state and charging pile |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113335135A true CN113335135A (en) | 2021-09-03 |
Family
ID=77470919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110539338.4A Pending CN113335135A (en) | 2021-05-18 | 2021-05-18 | Method and device for determining battery health state and charging pile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113335135A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113787914A (en) * | 2021-10-18 | 2021-12-14 | 广州小鹏汽车科技有限公司 | Power battery monitoring method and device, server and storage medium |
| CN114325399A (en) * | 2021-11-24 | 2022-04-12 | 曙鹏科技（深圳）有限公司 | Internal resistance prediction method of battery, and health state evaluation method, device and equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11344544A (en) * | 1998-06-03 | 1999-12-14 | Fuji Film Celltec Kk | Method for measuring battery capacity of battery pack |
| CN103163480A (en) * | 2013-03-29 | 2013-06-19 | 长城汽车股份有限公司 | Method for estimating health state of lithium battery |
| CN105334462A (en) * | 2014-08-07 | 2016-02-17 | 华为技术有限公司 | Online estimation method for battery capacity loss |
| WO2017143830A1 (en) * | 2016-02-22 | 2017-08-31 | 华为技术有限公司 | Method and device for detecting state of health of battery, and battery management system |
| US20180123185A1 (en) * | 2016-10-31 | 2018-05-03 | Korea University Of Technology And Education Industry-University Cooperation Foundation | Method for predicting battery health in consideration of temperature of battery management system |
| WO2018126901A1 (en) * | 2017-01-05 | 2018-07-12 | 中兴通讯股份有限公司 | Method and device for testing health status of battery |
| CN109655750A (en) * | 2019-01-31 | 2019-04-19 | 北汽福田汽车股份有限公司 | Prediction technique, the prediction meanss of battery life |
| CN109856559A (en) * | 2019-02-28 | 2019-06-07 | 武汉理工大学 | A kind of prediction technique of lithium battery cycle life |
| CN110221224A (en) * | 2019-07-01 | 2019-09-10 | 中兴高能技术有限责任公司 | Prediction technique, device and the storage medium of battery cycle life |
| CN111123136A (en) * | 2019-12-21 | 2020-05-08 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Online measuring device and online measuring method for health state of lithium ion battery |
| CN111983492A (en) * | 2019-05-21 | 2020-11-24 | 彩虹无线（北京）新技术有限公司 | Battery health analysis method, device and equipment |
-
2021
- 2021-05-18 CN CN202110539338.4A patent/CN113335135A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11344544A (en) * | 1998-06-03 | 1999-12-14 | Fuji Film Celltec Kk | Method for measuring battery capacity of battery pack |
| CN103163480A (en) * | 2013-03-29 | 2013-06-19 | 长城汽车股份有限公司 | Method for estimating health state of lithium battery |
| CN105334462A (en) * | 2014-08-07 | 2016-02-17 | 华为技术有限公司 | Online estimation method for battery capacity loss |
| WO2017143830A1 (en) * | 2016-02-22 | 2017-08-31 | 华为技术有限公司 | Method and device for detecting state of health of battery, and battery management system |
| US20180123185A1 (en) * | 2016-10-31 | 2018-05-03 | Korea University Of Technology And Education Industry-University Cooperation Foundation | Method for predicting battery health in consideration of temperature of battery management system |
| WO2018126901A1 (en) * | 2017-01-05 | 2018-07-12 | 中兴通讯股份有限公司 | Method and device for testing health status of battery |
| CN109655750A (en) * | 2019-01-31 | 2019-04-19 | 北汽福田汽车股份有限公司 | Prediction technique, the prediction meanss of battery life |
| CN109856559A (en) * | 2019-02-28 | 2019-06-07 | 武汉理工大学 | A kind of prediction technique of lithium battery cycle life |
| CN111983492A (en) * | 2019-05-21 | 2020-11-24 | 彩虹无线（北京）新技术有限公司 | Battery health analysis method, device and equipment |
| CN110221224A (en) * | 2019-07-01 | 2019-09-10 | 中兴高能技术有限责任公司 | Prediction technique, device and the storage medium of battery cycle life |
| CN111123136A (en) * | 2019-12-21 | 2020-05-08 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Online measuring device and online measuring method for health state of lithium ion battery |
Non-Patent Citations (1)
| Title |
|---|
| 寇志华;潘旭海;季豪: "基于容量衰减速率的三元锂电池健康状态预测", 电源技术, 20 February 2018 (2018-02-20), pages 185 - 194 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113787914A (en) * | 2021-10-18 | 2021-12-14 | 广州小鹏汽车科技有限公司 | Power battery monitoring method and device, server and storage medium |
| CN114325399A (en) * | 2021-11-24 | 2022-04-12 | 曙鹏科技（深圳）有限公司 | Internal resistance prediction method of battery, and health state evaluation method, device and equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10436848B2 (en) | Battery capacity active estimation method used for electric vehicle | |
| CN101276949B (en) | Method for detecting battery performance of hybrid power vehicle | |
| CN113335135A (en) | Method and device for determining battery health state and charging pile | |
| CN111965545B (en) | Lithium battery self-discharge detection method, device and system | |
| CN111381180B (en) | Method and device for determining battery capacity | |
| CN110888065B (en) | Battery pack state of charge correction method and device | |
| CN114487846B (en) | Method and device for online estimation of electrochemical impedance spectrum of battery | |
| CN113884922B (en) | Battery internal short circuit quantitative diagnosis method based on voltage and electric quantity outlier coefficient | |
| CN115224751A (en) | Method and device for acquiring remaining battery charging time, electronic equipment and medium | |
| CN115184814A (en) | Power battery pack service life prediction method and device, readable storage medium and equipment | |
| CN109782207A (en) | Zero passage detection calibration method, device, electronic equipment and storage medium | |
| CN110068771B (en) | High-precision battery model parameter identification method and system based on output response reconstruction | |
| CN116299008A (en) | Battery SOH prediction method and device, electronic equipment and storage medium | |
| CN108988418B (en) | Method and device for determining charging section of electric automobile | |
| CN117723973A (en) | Method and device for evaluating battery storage capacity loss, electronic equipment and medium | |
| CN114487887A (en) | Battery health degree measuring method, device, equipment and storage medium | |
| CN117148187A (en) | SOH estimation method and system based on OCV calibration and electronic equipment | |
| CN116930789A (en) | Accurate identification method and system for jump inflection point of battery capacity decline | |
| CN110888100A (en) | Single-phase intelligent electric energy meter online on-load detection system and method | |
| CN113447826B (en) | SOC determination method and device based on steady-state equivalent circuit model | |
| CN114814604A (en) | Battery soc estimation method and device | |
| CN109541492B (en) | Method, device and equipment for determining residual electric quantity of power supply and readable storage medium | |
| CN111537902A (en) | SOC estimation method based on real-time capacity dynamic change model | |
| CN113125971A (en) | Method and device for determining open-circuit voltage of battery and charging pile | |
| CN117471328B (en) | Method, system and terminal equipment for determining capacity of lead-acid 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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 518000, 217, Building 18, Guangqian Industrial Zone, Longzhu 3rd Road, Longguang Community, Taoyuan Street, Nanshan District, Shenzhen, Guangdong Province Applicant after: Shenzhen Yichi New Energy Technology Co.,Ltd. Address before: 518000 room 213, building 18, Nanshan Ruiyuan, Longzhu 3rd road, Taoyuan Street, Nanshan District, Shenzhen City, Guangdong Province Applicant before: Shenzhen Yichi Yundong Technology Co.,Ltd. |