CN210487935U - Device for estimating battery state in real time - Google Patents

Device for estimating battery state in real time Download PDF

Info

Publication number
CN210487935U
CN210487935U CN201820354573.8U CN201820354573U CN210487935U CN 210487935 U CN210487935 U CN 210487935U CN 201820354573 U CN201820354573 U CN 201820354573U CN 210487935 U CN210487935 U CN 210487935U
Authority
CN
China
Prior art keywords
battery
measuring device
module
energy management
control system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201820354573.8U
Other languages
Chinese (zh)
Inventor
慈松
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Cloud Storage New Energy Technology Co ltd
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201820354573.8U priority Critical patent/CN210487935U/en
Application granted granted Critical
Publication of CN210487935U publication Critical patent/CN210487935U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

Landscapes

  • Secondary Cells (AREA)

Abstract

The utility model provides a device of real-time estimation of battery state, the device include battery energy management and control system, battery monomer or module, there is voltage measuring device at the both ends of battery monomer or module in parallel, at the one end and the control switch series connection of battery monomer or module, control switch's the other end and current measuring device series connection, battery energy management and control system pass through the information interaction device and be connected with voltage measuring device, current measuring device, battery energy management and control system passes through the information interaction device and is connected with temperature measuring device, battery energy management and control system can realize the access or the disconnection of battery monomer or module through the break-make of adjustment control switch. The utility model discloses can realize the estimation to the real-time of battery state, low-cost and high accuracy to solved a series of problems that present battery state real-time estimation faces from paradigm and method, become the important basis of the high-efficient safe operation of various types of group battery.

Description

Device for estimating battery state in real time
Technical Field
The utility model relates to a battery state real-time estimation technical field especially relates to a device of battery state real-time estimation based on intelligent developments reconfigurable battery network.
Background
The battery pack is widely applied to the fields of telecommunication rooms, rail transit, electric power, data centers, buildings and the like, and can be used for standby or emergency power supplies, peak clipping and valley filling, electric power filtering and the like. SOC (state of charge) is an important parameter of the battery state, and provides a reliable basis for user use and system energy management, and how to accurately and reliably obtain the SOC value of the battery is the most basic and important task of the battery management system. The importance of state estimation of batteries is widely recognized by the industry and academia as the basis for dynamic management of battery packs. However, the conventional battery state estimation method (including common coulomb integration, etc.) has drawbacks, which cause the following application problems:
1) the effects of battery dynamics nonlinearity are ignored. During the use process of the battery, a plurality of dynamic nonlinear effects exist, in particular the dynamic nonlinear effect of the battery power and the nonlinear circuit characteristic. However, existing battery state estimation methods ignore these non-linear characteristics, resulting in inaccurate and unreliable SOC estimation.
2) The estimation accuracy of the battery state is in conflict with the calculation complexity of the algorithm. Specifically, in the existing battery state estimation algorithm, the estimation method with higher accuracy has higher computational complexity. Many estimation methods having high accuracy require a complicated machine learning process for a long time or require a large amount of battery data such as a system structure, a cell electrochemical composition, a battery pack use history, and the like, making it difficult to practically apply the battery state estimation method.
3) The estimation error accumulation of the battery state estimation algorithm and the inaccurate estimation of the battery state are caused by the physically fixed series-parallel connection mode of the existing battery pack, and a series of application problems are brought, such as the service life, safety, reliability and cost of the battery pack and the utilization of echelons.
4) In the prior art, not only a state estimation method of a battery is lacked, but also a system depending on the state estimation method of the battery is urgently needed to be researched and developed by the technical personnel in the field.
SUMMERY OF THE UTILITY MODEL
A fast and reliable estimation of how to achieve the battery state; how to fully utilize the system capability of the reconfigurable battery network to carry out real-time estimation on the battery state; how to reduce the calculation complexity of the estimation algorithm meets the real-time requirement; how to meet the accuracy, real-time performance and reliability of the estimation method under a dynamic environment, and a device system for realizing the estimation method. The utility model provides a battery state real-time estimation device, based on the free electrochemistry characteristic of given battery and the system ability of developments reconfigurable battery network, the break-make through adjustment control switch realizes the access or the disconnection of battery monomer or module, and then accomplishes functions such as battery network topology dynamic management and control and isolation fault battery. The utility model discloses can realize enough carrying out real-time, low-cost and high accuracy's estimation to the battery state through the estimation device to a series of problems that present battery state real-time estimation faced have been solved from paradigm and method, become the important basis of the high-efficient safe operation of various types of group battery.
The technical scheme of the utility model is realized like this:
the utility model provides a device of real-time estimation of battery state, includes battery energy management and control system, battery monomer or module, has voltage measuring device at the both ends of battery monomer or module parallel connection, voltage measuring device is configured to measure the voltage at battery monomer or module both ends, is connected with control switch series connection at the one end of battery monomer or module, and control switch's the other end and current measuring device series connection, battery energy management and control system pass through the information interaction device and be connected with voltage measuring device, current measuring device, battery energy management and control system passes through the information interaction device and is connected with temperature measuring device, and temperature measuring device is configured to the ambient temperature of measuring battery monomer or module, and battery energy management and control system can realize the access or the disconnection of battery monomer or module through the break-make of adjustment control switch.
Preferably, the connection and disconnection of the battery monomer or the module are controlled by a control switch; the voltage measuring device, the current measuring device and the temperature measuring device can acquire and send battery related information to the battery energy management and control system through the voltage, current and temperature measuring circuits.
Preferably, the battery energy management and control system comprises a receiving unit, a matching unit and an executing unit, wherein the receiving unit can receive battery related information, the matching unit matches the relationship between the approximate open-circuit voltage, current and temperature information acquired by the voltage measuring device, the current measuring device and the temperature measuring device and the battery SOC through a table, the table establishes a quantitative relationship between the battery state and observation data, and the executing unit dynamically manages and controls the measured battery monomer or module and/or isolates the fault through the result fed back by the matching unit.
Further, the matching unit further includes a measurement error correction module, the battery energy management and control system is capable of estimating SOC information from the battery related information received by the receiving unit and the battery related information in the table, and the measurement error correction module is configured to perform error correction on the estimated SOC information.
Preferably, the information interaction device performs information interaction in a communication mode of an Ethernet and a CAN bus, and the battery energy management and control system CAN acquire the reconfigurable battery network and corresponding battery state and environment related parameters on line through the information interaction device.
Preferably, the battery energy management and control system can dynamically configure the interconnection state between the battery cells or the modules according to the output SOC result corrected by the measurement error correction module.
Preferably, a table describing a relationship between the battery operating parameters and the corresponding battery SOC is provided in the battery energy management and control system, the table being configured to establish a quantitative relationship between the battery state and observed data, the observed data including data approximating open-circuit voltage, current, and temperature.
Preferably, the battery energy management and control system can change the physical connection topological structure between the battery monomers in real time through a dynamic reconfigurable battery network, and connect or disconnect the battery monomers or the modules through the control switch.
Furthermore, a table set in the battery energy management and control system comprises a table updating part and a table inquiring part, wherein the table updating part records and stores the charge and discharge process data of the battery monomer or the battery module into the table for each given load and temperature value; the table query part is configured to perform data table lookup on the combination of the collected approximate open-circuit voltage output value V, the load current magnitude I before the disconnection measurement of the battery cell or the module and the temperature T.
Preferably, the battery energy management and control system can control corresponding hardware circuits to rapidly measure a target battery monomer or module for multiple times, record the approximate open-circuit voltage of the battery, and mark the approximate open-circuit voltage as { V } voltage1,V2,…,VN}。
The utility model discloses can realize the estimation to the real-time of battery state, low-cost and high accuracy to solved a series of problems that present battery state real-time estimation faces from paradigm and method, become the important basis of the high-efficient safe operation of various types of group battery.
The utility model discloses the method can be applied to battery monomer, also is applicable to extensive group battery. The application scenarios include, but are not limited to, mobile communication rooms, rail transit, power systems, data centers, uninterruptible power supplies, and the like.
The utility model discloses a concrete technical advantage can conclude to:
1. the operation complexity is low, and the method can be applied in a large scale;
2. a complex training process is not required;
3. strong anti-interference capability and high robustness.
4. And online accurate state estimation is supported.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic view of a measurement module of a single battery according to the present invention;
fig. 2 is a schematic flow chart of the real-time estimation of the battery state according to the present invention;
fig. 3 is a schematic view of a measuring device for a single battery according to the present invention;
fig. 4 is a schematic flow chart of the output SOC result according to the present invention;
the system comprises a battery energy management and control system 1; a temperature measuring device 2; a voltage measuring device 3; a battery cell or module 4; a control switch 5; a current measuring device 6; and an information interaction device 7.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without any creative effort belong to the protection scope of the present invention.
As shown in fig. 1-4, the utility model discloses a device of battery state real-time estimation, including battery energy management and control system 1, battery monomer or module 4, there is voltage measurement device 3 at battery monomer or module 4's both ends parallel, voltage measurement device 3 is configured to the voltage of measuring battery monomer or module 4 both ends, and at battery monomer or module 4's one end and control switch 5 series connection, control switch 5's the other end and current measurement device 6 series connection, battery energy management and control system 1 be connected with voltage measurement device 3, current measurement device 6 through information interaction device 7, battery energy management and control system 1 is connected with temperature measurement device 2 through information interaction device 7, temperature measurement device 2 is configured to the ambient temperature of measuring battery monomer or module 4, battery energy management and control system 1 can realize the access or the disconnected of battery monomer or module 4 through the break-make of adjustment control switch 5 or break-make- And opening.
As some embodiments of the present invention, the connection and disconnection of the battery cells or modules 4 are controlled by a control switch 5, and the control switch 5 connects or isolates a group of battery cells or modules 4 from a battery system formed by a plurality of groups of battery cells or modules 4; the voltage measuring device 3, the current measuring device 6 and the temperature measuring device 2 collect and send battery related information to the battery energy management and control system 1 through voltage, current and temperature measuring circuits. Based on the above information, the battery energy management and control system 1 can estimate the state of the battery monomer or module in real time, thereby completing the functions of dynamic management and control of the battery network topology, fault battery isolation and the like.
As some embodiments of the utility model, battery energy management and control system 1 includes receiving element, matching unit and execution unit, receiving element can receive battery relevant information, and the matching unit matches through the table through the approximate open circuit voltage that voltage measuring device 3, current measuring device 6 and temperature measuring device 2 gathered, electric current, the relation between temperature information and the battery SOC, and the table aims at establishing the quantitative relation between battery state and the observation data (approximate open circuit voltage, electric current, temperature), reflects the operating characteristic of battery, and execution unit carries out dynamic management and control and/or fault isolation to measurand battery monomer or module 4 through the result of matching unit feedback. By measuring the approximate open-circuit voltage of the battery, the current SOC can be obtained by directly looking up a table, so that complex and time-consuming model operation can be avoided, the SOC estimation precision is greatly improved, and the SOC estimation of each single battery can be obtained, which is a function which cannot be realized by the traditional fixed series-parallel system.
As the utility model discloses a some embodiments, the matching unit still include measurement error correction module, battery energy management and control system 1 estimates SOC information with the battery relevant information in receiving unit received battery relevant information and the table, then carries out the error correction through error correction module, exports SOC information after will correcting as the SOC result. According to the device, the measurement accuracy is improved through the measurement error correction module, and then the SOC result is output, so that the estimation accuracy of the SOC is further improved.
The utility model also discloses a battery state estimation algorithm in developments reconfigurable battery network, including information acquisition module, correction module, information acquisition module can obtain the relevant parameter of reconfigurable battery network, corresponding battery state and environment fast to can improve measurement accuracy through measurement error correction module, in reconfigurable battery network, the interconnect state between battery monomer or module can carry out dynamic configuration in real time according to battery self situation, environmental aspect and load situation.
Preferably, the reconfigurable battery network and corresponding battery state and environment related parameters can be obtained by online rapid measurement. The arrangement enables a voltage, current and temperature measuring circuit to be integrated in the reconfigurable battery network so as to obtain information of the battery and the environment on line and ensure that each single battery and the whole system are in a normal working state.
The utility model discloses an in some embodiments, information interaction device 7 carries out the information interaction through the communication mode of ethernet, CAN bus to, battery energy management and control system 1 CAN obtain restructural battery network and corresponding battery state and the relevant parameter of environment on line fast through information interaction device 7.
As shown in fig. 1, in the present invention, the accurate estimation of the battery state is cooperatively performed by a plurality of functional modules. The overall algorithm can be roughly divided into a reconfigurable battery network and online rapid measurement of corresponding battery state and environment related parameters, and the measurement accuracy is improved through a measurement error correction module. The main functions of the individual functional modules and the relationships between them are described below:
in the reconfigurable battery network, the interconnection state between the battery cells or modules can be dynamically configured in real time according to the self condition of the battery, the environmental condition and the load condition. Therefore, the reconfigurable battery network ensures the operability of real-time measurement of the battery cells or modules. A voltage, current and temperature measuring circuit is integrated in the reconfigurable battery network so as to obtain information of the battery and the environment on line and ensure that each single battery and the whole system are in a normal working state. Unlike conventional approaches, reconfigurable battery networks allow for the measurement of the approximate open circuit voltage of a battery cell or module.
Further, the operating characteristics of the battery are reflected by establishing a table describing the relationship between the battery operating parameters and the corresponding battery SOC, wherein the table is intended to establish a quantitative relationship between the battery state and observed data (approximate open-circuit voltage, current, temperature), and the battery operating parameters include the information of the battery approximate open-circuit voltage, current, temperature, and the like. The current SOC can be obtained by directly looking up a table through measuring the approximate open-circuit voltage of the battery, so that complex and time-consuming model operation can be avoided, the SOC estimation precision is greatly improved, and the SOC estimation of each single battery can be obtained, which is a function which cannot be realized by the traditional fixed series-parallel system.
Preferably, during the charging and discharging process, the approximate open-circuit voltage of the electric monomer is measured in real time by interrupting the charging and discharging loop through the system capacity of the reconfigurable battery array, usually, the battery energy management and control system controls the corresponding hardware circuit to perform multiple rapid measurements on the target battery monomer or module to obtain the approximate open-circuit voltage of the battery, and the approximate open-circuit voltage is marked as { V } V1,V2,…,VN}。
Furthermore, the dynamic reconfigurable battery network has the capability of changing the physical connection topological structure among the battery monomers in real time, the connection and disconnection of the battery monomers or modules are realized through the control switch, the voltage, current and temperature measuring circuits can collect and send the relevant information of the battery to the battery energy management and control system, the battery energy management and control system can estimate the state of the battery monomers or modules in real time based on the collected information, and further the functions of topology dynamic management and control of the battery network, fault battery isolation and the like are completed. Unlike the fixed series-parallel connection between cells in a conventional battery pack, the connection at the level of a typical cell is shown in fig. 1. Without loss of generality, the connection and disconnection of the battery cells or modules in the figure are controlled by a switch.
The utility model also discloses a battery state real-time estimation method, which is divided into a form updating part and a form inquiring part;
a table update section: the establishment of the tables aims to establish a quantitative relationship between the battery state and the observed data (approximate open circuit voltage, current, temperature), and at each given load and temperature value, the charge and discharge process data of the battery cell or module is recorded and stored in the tables.
A table query part: and (3) obtaining the estimation of the battery state by searching a data table by the combination of the collected approximate open-circuit voltage output value V, the load current I before the disconnection measurement of the battery cell or the module and the temperature T.
Preferably, the table building process involves a series of experimental data acquisition, analysis and processing.
As some embodiments of the present invention, the table updating part and the table querying part in the real-time battery state estimation method are both implemented by the battery energy management and control system 1.
Further, in the table lookup section, the recorded approximate open-circuit voltage value is digitally processed (e.g., using kalman filtering) to eliminate the error of the approximate open-circuit voltage measurement value caused by the measurement noise, resulting in an accurate approximate open-circuit voltage output value V. This arrangement further improves the estimated accurate value of the battery state.
The utility model discloses the method can be applied to battery monomer, also is applicable to extensive group battery. Different from all current battery measuring methods, the battery state estimation device and the battery state estimation method directly measure the open-circuit voltage of a single battery or a module through a reconfigurable battery network, and further directly obtain the battery state through the corresponding relation between the open-circuit voltage and the residual capacity of the battery; the previous methods are based on measuring the closed circuit voltage and then deriving the open circuit voltage, and the estimation error of the battery state is large.
The application scenes of the method and the device include but are not limited to mobile communication machine rooms, rail transit, electric power systems, data centers, uninterrupted power supplies and the like. And has the following technical advantages:
the operation complexity is low, and the method can be applied in a large scale;
a complex training process is not required;
strong anti-interference capability and high robustness.
And online accurate state estimation is supported.
The above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. An apparatus for real-time estimation of battery state, characterized by: the battery energy management and control system comprises a battery energy management and control system (1), a battery monomer or a module (4), wherein voltage measuring devices (3) are connected in parallel at two ends of the battery monomer or the module (4), the voltage measuring devices (3) are configured to measure voltages at two ends of the battery monomer or the module (4), one end of the battery monomer or the module (4) is connected with a control switch (5) in series, the other end of the control switch (5) is connected with a current measuring device (6) in series, the battery energy management and control system (1) is connected with the voltage measuring device (3) and the current measuring device (6) through an information interaction device (7), the battery energy management and control system (1) is connected with a temperature measuring device (2) through the information interaction device (7), and the temperature measuring device (2) is configured to measure the ambient temperature of the battery monomer or the module (4), the battery energy management and control system (1) can realize the connection or disconnection of a single battery or a module (4) by adjusting the on-off of the control switch (5).
2. The apparatus according to claim 1, wherein: the connection and disconnection of the battery monomer or the module (4) are controlled by a control switch (5); the voltage measuring device (3), the current measuring device (6) and the temperature measuring device (2) can collect and send battery related information to the battery energy management and control system (1) through the voltage, current and temperature measuring circuits.
3. The apparatus according to claim 2, wherein: the battery energy management and control system (1) comprises a receiving unit, a matching unit and an executing unit, wherein the receiving unit can receive battery related information, the matching unit matches the relationship between approximate open-circuit voltage, current and temperature information acquired by a voltage measuring device (3), a current measuring device (6) and a temperature measuring device (2) and the SOC of a battery, and the executing unit dynamically manages and/or isolates a measured battery monomer or a measured module (4) according to the result fed back by the matching unit.
4. The apparatus according to claim 3, wherein: the matching unit further comprises a measurement error correction module.
5. The apparatus for real-time estimation of battery status according to claim 1 or 4, wherein: the battery energy management and control system (1) can obtain the reconfigurable battery network and corresponding battery state and environment related parameters through the information interaction device (7).
6. The apparatus according to claim 5, wherein: the battery energy management and control system (1) can dynamically configure the mutual connection state among the battery cells or modules (4).
CN201820354573.8U 2018-03-15 2018-03-15 Device for estimating battery state in real time Active CN210487935U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201820354573.8U CN210487935U (en) 2018-03-15 2018-03-15 Device for estimating battery state in real time

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201820354573.8U CN210487935U (en) 2018-03-15 2018-03-15 Device for estimating battery state in real time

Publications (1)

Publication Number Publication Date
CN210487935U true CN210487935U (en) 2020-05-08

Family

ID=70485161

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201820354573.8U Active CN210487935U (en) 2018-03-15 2018-03-15 Device for estimating battery state in real time

Country Status (1)

Country Link
CN (1) CN210487935U (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114624603A (en) * 2022-03-15 2022-06-14 哈尔滨工业大学(威海) Battery system branch current estimation method based on machine learning
CN116699415A (en) * 2023-05-26 2023-09-05 云储新能源科技有限公司 Method and system for estimating electric quantity of dynamic reconfigurable battery system and electronic equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114624603A (en) * 2022-03-15 2022-06-14 哈尔滨工业大学(威海) Battery system branch current estimation method based on machine learning
CN116699415A (en) * 2023-05-26 2023-09-05 云储新能源科技有限公司 Method and system for estimating electric quantity of dynamic reconfigurable battery system and electronic equipment
CN116699415B (en) * 2023-05-26 2024-06-11 云储新能源科技有限公司 Method and system for estimating electric quantity of dynamic reconfigurable battery system and electronic equipment

Similar Documents

Publication Publication Date Title
WO2014065615A1 (en) Apparatus and method for estimating state of charge of battery
WO2014065614A1 (en) Apparatus and method for estimating state of charge of battery
CN110361653B (en) SOC estimation method and system based on hybrid energy storage device
CN112331941A (en) Cloud auxiliary battery management system and method
CN110133505A (en) A kind of power battery charging and discharging state observation method based on variable parameter model
CN110286331A (en) A kind of device and method of battery status real-time estimation
CN109435778A (en) Battery equalization method, system, vehicle, storage medium and electronic equipment
CN211702078U (en) Battery manager based on cloud-end mixed state estimation
CN111596218B (en) Device for simulating charge-discharge characteristics of lead-acid battery pack by using lithium battery pack
CN105429230A (en) Artificial neural network algorithm-based battery management system and method
CN110994050A (en) Management control method and device for direct-current power supply storage battery pack
CN210487935U (en) Device for estimating battery state in real time
CN108169687A (en) A kind of accumulator SOC estimation method based on cloud platform
WO2024040972A1 (en) Battery system and battery pack connection state identification method
CN105449739A (en) Single-battery-based on-line estimation method for SOC of series battery pack
CN111953034A (en) Battery equalization method and battery equalization equipment
CN115616425A (en) Battery performance analysis method, electronic equipment and energy storage system
CN116632463B (en) Combined lithium battery power supply system
CN115389959A (en) Battery capacity checking method and device and battery equipment
CN115549247A (en) Mixed power management method and system
CN211086534U (en) SOC estimation system based on hybrid energy storage device
Hwang et al. Measurement method for online battery early faults precaution in uninterrupted power supply system
KR101965655B1 (en) Battery module system and driving method thereof
Turkmanović et al. A systematic approach for designing battery management system for embedded applications
CN109103523A (en) Minisize distributed type Intelligent battery management system

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20210325

Address after: 250101 A404, block B, Qilu Software Park building, 1768 Xinluo street, high tech Zone, Jinan City, Shandong Province

Patentee after: Shandong Yunchu New Energy Technology Co.,Ltd.

Address before: Room A310, information and Communication Research Institute building, 1768 Xinluo street, high tech Zone, Jinan City, Shandong Province, 250101

Patentee before: Cisong

CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: Floor 1, Building 4, No. 27, Xingyu Road, Zhifu District, Yantai City, Shandong Province, 264004

Patentee after: Cloud Storage New Energy Technology Co.,Ltd.

Address before: 250101 A404, block B, Qilu Software Park building, 1768 Xinluo street, high tech Zone, Jinan City, Shandong Province

Patentee before: Shandong Yunchu New Energy Technology Co.,Ltd.