CN113561841A - Battery pack scheduling method - Google Patents

Battery pack scheduling method Download PDF

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Publication number
CN113561841A
CN113561841A CN202110794211.7A CN202110794211A CN113561841A CN 113561841 A CN113561841 A CN 113561841A CN 202110794211 A CN202110794211 A CN 202110794211A CN 113561841 A CN113561841 A CN 113561841A
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China
Prior art keywords
battery pack
lower computer
charging bin
serial number
upper computer
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Pending
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CN202110794211.7A
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Chinese (zh)
Inventor
刘作斌
郭金鸿
张飞
林少群
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Fujian Nebula Electronics Co Ltd
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Fujian Nebula Electronics Co Ltd
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Priority to CN202110794211.7A priority Critical patent/CN113561841A/en
Publication of CN113561841A publication Critical patent/CN113561841A/en
Pending legal-status Critical Current

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    • 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
    • B60L53/80—Exchanging energy storage elements, e.g. removable batteries
    • 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
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
    • G06K7/10297—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092
    • 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
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Transportation (AREA)
  • Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Physics & Mathematics (AREA)
  • Power Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Electromagnetism (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention provides a battery pack scheduling method in the technical field of battery changing stations, which comprises the following steps: s10, the stacker acquires the battery pack detached from the AGV; the barrier gate system identifies the license plate, and inquires SOC data of all battery packs with corresponding models from the database based on the license plate; step S20, reading the serial number of the battery pack and storing the serial number to an upper computer and a lower computer; step S30, the lower computer binds the battery pack number with the charging bin number and conveys the battery pack to the corresponding charging bin for charging; s40, the upper computer selects a battery pack number based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer; step S50, the lower computer obtains the charged battery pack from the corresponding charging bin based on the battery pack number; step S60, the upper computer controls the RF ID card reader to read the serial number of the battery pack, and the lower computer checks the serial number of the battery pack; and S70, installing the corrected battery pack back to the electric automobile, and binding the serial number of the battery pack and the license plate. The invention has the advantages that: the accuracy of battery pack scheduling is greatly improved.

Description

Battery pack scheduling method
Technical Field
The invention relates to the technical field of battery replacement stations, in particular to a battery pack scheduling method.
Background
With the rapid development of electric vehicles, the electric vehicles have a larger and larger share in the market. However, since the battery technology does not produce breakthrough progress, the electric vehicle needs to be loaded with more batteries to obtain longer endurance, and the loading of more batteries leads to a series of problems that the cost of the whole vehicle is high, and the like, so the endurance problem of the electric vehicle always troubles users, mileage anxiety is caused to the users, the time spent on fully charging one electric vehicle is far longer than the time spent on once charging oil in the traditional fuel vehicle, and the power station is produced by replacing a fully charged battery pack for the electric vehicle to directly obtain the endurance mileage.
In order to meet the requirement for timely replacing the battery pack of the electric automobile, the battery replacing station needs to maintain a large number of battery packs, namely, the battery packs detached from the electric automobile are charged, the fully charged battery packs are updated to the electric automobile, and the battery packs with faults are maintained. Traditionally, trade the power station and change the in-process of battery package for electric automobile, it is that the instruction that directly is based on the host computer gets the battery package that charges to the storehouse that charges of corresponding serial number, nevertheless because circumstances such as maintenance and repair, battery package probably produced removal or replacement, this will lead to the user to change the battery package that individual electric quantity is not high, can't carry out a series of problems such as subsequent pursuit to the battery package.
Therefore, how to provide a method for scheduling a battery pack to improve the accuracy of scheduling the battery pack becomes a problem to be solved urgently.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a battery pack scheduling method, so that the accuracy of battery pack scheduling is improved.
The invention is realized by the following steps: a battery pack scheduling method comprises the following steps:
step S10, the lower computer controls the stacker to acquire the battery pack which is disassembled from the electric automobile by the AGV; the upper computer identifies the license plate through the barrier gate system, and inquires SOC data of all battery packs with corresponding models from a database based on the license plate;
step S20, the upper computer controls the RFID card reader to read the serial number of the battery pack and stores the serial number into the upper computer and the lower computer;
step S30, the lower computer puts the battery pack number and the charging bin number into a warehouse for binding, and conveys the disassembled battery pack to the charging bin corresponding to the charging bin number for charging;
s40, the upper computer selects a battery pack number based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer;
step S50, the lower computer obtains the charged battery pack from the charging bin corresponding to the charging bin number based on the received battery pack number;
step S60, the upper computer controls the RFID card reader to read the battery pack number of the charged battery pack, and the lower computer proofreads the battery pack number;
and S70, transmitting the corrected battery pack to an AGV through a stacker, installing the battery pack to the electric automobile by using the AGV, and binding the serial number of the battery pack and the license plate.
Further, the lower computer is a programmable logic controller.
Further, the step S20 is specifically:
the upper computer controls an RFID card reader arranged on the stacker, reads an RFID chip carried by the battery pack to obtain the serial number of the battery pack, and stores the serial number of the battery pack and the reading time of the serial number of the battery pack to the upper computer and the lower computer.
Further, the step S30 is specifically:
and the lower computer performs warehousing binding on the battery pack number and a charging bin number of an idle charging bin, generates and stores binding data, and controls the stacker to convey the disassembled battery pack to the bound charging bin for charging.
Further, in the step S30, each charging bin corresponds to a charging bin number one to one.
Further, the step S40 is specifically:
the upper computer selects a battery pack number meeting the conditions based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer;
the SOC data carries a battery pack number; the battery pack scheduling rule is that the battery pack with the SOC value larger than a preset threshold meets the scheduling condition.
Further, the step S50 is specifically:
and the lower computer acquires the charged battery pack from the charging bin corresponding to the charging bin number based on the received battery pack number and the binding data.
Further, the step S60 specifically includes:
step S61, the upper computer controls an RFID card reader arranged on the stacker, and reads an RFID chip carried by the charged battery pack to obtain the serial number of the battery pack;
step S62, the lower computer acquires the battery pack number of the charged battery pack, compares whether the battery pack number is consistent or not based on the binding data, if so, the lower computer passes the check and enters step S70; and if the serial numbers of the battery packs are not consistent, synchronously updating the serial numbers of the battery packs charged to the upper computer and the lower computer, and entering the step S70.
The invention has the advantages that:
1. binding the disassembled battery pack in a storage way, namely binding the serial number of the battery pack with the serial number of the charging bin to generate binding data, and storing the serial number of the battery pack into an upper computer and a lower computer; when the charged battery pack is discharged from the warehouse, the battery pack serial number of the battery pack to be discharged from the warehouse is read, whether the battery pack serial number stored in the upper computer and the lower computer is consistent with the battery pack serial number to be discharged from the warehouse is compared based on binding data, and then the battery pack serial number is checked, if the battery pack serial number is not checked, the battery pack serial number to be discharged from the warehouse is synchronously updated to the upper computer and the lower computer, the situation that the battery pack serial number is not corresponding to the battery pack serial number due to movement or replacement of the battery pack is avoided, the accuracy of battery pack scheduling is finally greatly improved, the battery pack with low electric quantity is prevented from being replaced by a user, the user experience is greatly improved, the follow-up tracking and management of the battery pack are facilitated, and the guarantee is provided for after-sale operation.
2. The battery pack serial numbers are identified when the battery packs are put in and taken out of the warehouse, and the reading time of the battery pack serial numbers is recorded, namely the warehousing time and the ex-warehouse time of the battery packs are recorded, so that the track tracking and the management of the battery packs entering and exiting the warehouse are facilitated.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
Fig. 1 is a flow chart of a battery pack scheduling method according to the present invention.
Fig. 2 is a hardware architecture diagram of a battery pack scheduling method according to the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: identifying the serial number of the disassembled battery pack, binding the serial number of the battery pack with the serial number of a charging bin of an idle charging bin to generate binding data, and storing the serial number of the battery pack to an upper computer and a lower computer; when the charged battery pack is discharged, the battery pack serial number of the battery pack to be discharged is read, whether the battery pack serial number stored in the upper computer and the lower computer is consistent with the battery pack serial number to be discharged is compared based on binding data, then the battery pack serial number is corrected, and if the battery pack serial number to be discharged does not pass through the correction, the battery pack serial number to be discharged is synchronously updated to the upper computer and the lower computer, so that the accuracy of battery pack scheduling is improved.
Referring to fig. 1 to 2, a preferred embodiment of a battery pack scheduling method according to the present invention includes the following steps:
step S10, the lower computer controls the stacker to acquire the battery pack which is disassembled from the electric automobile by the AGV; the upper computer identifies the license plate through the barrier gate system, and inquires SOC data of all battery packs with corresponding models from a database based on the license plate; the lower computer is a Programmable Logic Controller (PLC) and can simultaneously control a plurality of stackers to work;
step S20, the upper computer controls the RFID card reader to read the serial number of the battery pack and stores the serial number into the upper computer and the lower computer;
step S30, the lower computer puts the battery pack number and the charging bin number into a warehouse for binding, and conveys the disassembled battery pack to the charging bin corresponding to the charging bin number for charging;
s40, the upper computer selects a battery pack number based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer;
step S50, the lower computer obtains the charged battery pack from the charging bin corresponding to the charging bin number based on the received battery pack number;
step S60, the upper computer controls the RFID card reader to read the battery pack number of the charged battery pack, and the lower computer proofreads the battery pack number;
and S70, transmitting the corrected battery pack to an AGV through a stacker, installing the battery pack to the electric automobile by using the AGV, binding the serial number of the battery pack and the license plate, generating battery pack tracking data and storing the battery pack tracking data, and facilitating tracking management of the battery pack.
The lower computer is a programmable logic controller.
The step S20 specifically includes:
the upper computer controls an RFID card reader arranged on the stacker, reads an RFID chip carried by the battery pack to obtain the serial number of the battery pack, and stores the serial number of the battery pack and the reading time of the serial number of the battery pack to the upper computer and the lower computer; the RFID chip of each battery pack is pre-written with a unique battery pack number.
The step S30 specifically includes:
and the lower computer performs warehousing binding on the battery pack number and a charging bin number of an idle charging bin, generates and stores binding data, and controls the stacker to convey the disassembled battery pack to the bound charging bin for charging.
In step S30, each charging bin corresponds to a charging bin number one to one.
The step S40 specifically includes:
the upper computer selects a battery pack number meeting the conditions based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer;
the SOC data carries a battery pack number; the battery pack scheduling rule is specifically that the battery packs with SOC values larger than a preset threshold meet scheduling conditions, for example, the battery packs with SOC values larger than 95% meet the scheduling conditions, and then selection is performed based on the size sequence of the battery pack numbers meeting the conditions.
The step S50 specifically includes:
and the lower computer acquires the charged battery pack from the charging bin corresponding to the charging bin number based on the received battery pack number and the binding data.
The step S60 specifically includes:
step S61, the upper computer controls an RFID card reader arranged on the stacker, reads an RFID chip carried by the charged battery pack to obtain the serial number of the battery pack, and records the reading time of the serial number of the battery pack;
step S62, the lower computer acquires the battery pack number of the charged battery pack, compares whether the battery pack number is consistent or not based on the binding data, if so, the lower computer passes the check and enters step S70; and if the serial numbers of the battery packs are not consistent, synchronously updating the serial numbers of the battery packs charged to the upper computer and the lower computer, and entering the step S70.
In summary, the invention has the advantages that:
1. binding the disassembled battery pack in a storage way, namely binding the serial number of the battery pack with the serial number of the charging bin to generate binding data, and storing the serial number of the battery pack into an upper computer and a lower computer; when the charged battery pack is discharged from the warehouse, the battery pack serial number of the battery pack to be discharged from the warehouse is read, whether the battery pack serial number stored in the upper computer and the lower computer is consistent with the battery pack serial number to be discharged from the warehouse is compared based on binding data, and then the battery pack serial number is checked, if the battery pack serial number is not checked, the battery pack serial number to be discharged from the warehouse is synchronously updated to the upper computer and the lower computer, the situation that the battery pack serial number is not corresponding to the battery pack serial number due to movement or replacement of the battery pack is avoided, the accuracy of battery pack scheduling is finally greatly improved, the battery pack with low electric quantity is prevented from being replaced by a user, the user experience is greatly improved, the follow-up tracking and management of the battery pack are facilitated, and the guarantee is provided for after-sale operation.
2. The battery pack serial numbers are identified when the battery packs are put in and taken out of the warehouse, and the reading time of the battery pack serial numbers is recorded, namely the warehousing time and the ex-warehouse time of the battery packs are recorded, so that the track tracking and the management of the battery packs entering and exiting the warehouse are facilitated.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.

Claims (8)

1. A method for scheduling a battery pack is characterized in that: the method comprises the following steps:
step S10, the lower computer controls the stacker to acquire the battery pack which is disassembled from the electric automobile by the AGV; the upper computer identifies the license plate through the barrier gate system, and inquires SOC data of all battery packs with corresponding models from a database based on the license plate;
step S20, the upper computer controls the RFID card reader to read the serial number of the battery pack and stores the serial number into the upper computer and the lower computer;
step S30, the lower computer puts the battery pack number and the charging bin number into a warehouse for binding, and conveys the disassembled battery pack to the charging bin corresponding to the charging bin number for charging;
s40, the upper computer selects a battery pack number based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer;
step S50, the lower computer obtains the charged battery pack from the charging bin corresponding to the charging bin number based on the received battery pack number;
step S60, the upper computer controls the RFID card reader to read the battery pack number of the charged battery pack, and the lower computer proofreads the battery pack number;
and S70, transmitting the corrected battery pack to an AGV through a stacker, installing the battery pack to the electric automobile by using the AGV, and binding the serial number of the battery pack and the license plate.
2. The method of claim 1, wherein: the lower computer is a programmable logic controller.
3. The method of claim 1, wherein: the step S20 specifically includes:
the upper computer controls an RFID card reader arranged on the stacker, reads an RFID chip carried by the battery pack to obtain the serial number of the battery pack, and stores the serial number of the battery pack and the reading time of the serial number of the battery pack to the upper computer and the lower computer.
4. The method of claim 1, wherein: the step S30 specifically includes:
and the lower computer performs warehousing binding on the battery pack number and a charging bin number of an idle charging bin, generates and stores binding data, and controls the stacker to convey the disassembled battery pack to the bound charging bin for charging.
5. The method of claim 1, wherein: in step S30, each charging bin corresponds to a charging bin number one to one.
6. The method of claim 1, wherein: the step S40 specifically includes:
the upper computer selects a battery pack number meeting the conditions based on the SOC data and the battery pack scheduling rule and sends the battery pack number to the lower computer;
the SOC data carries a battery pack number; the battery pack scheduling rule is that the battery pack with the SOC value larger than a preset threshold meets the scheduling condition.
7. The method of claim 4, wherein: the step S50 specifically includes:
and the lower computer acquires the charged battery pack from the charging bin corresponding to the charging bin number based on the received battery pack number and the binding data.
8. The method of claim 4, wherein: the step S60 specifically includes:
step S61, the upper computer controls an RFID card reader arranged on the stacker, and reads an RFID chip carried by the charged battery pack to obtain the serial number of the battery pack;
step S62, the lower computer acquires the battery pack number of the charged battery pack, compares whether the battery pack number is consistent or not based on the binding data, if so, the lower computer passes the check and enters step S70; and if the serial numbers of the battery packs are not consistent, synchronously updating the serial numbers of the battery packs charged to the upper computer and the lower computer, and entering the step S70.
CN202110794211.7A 2021-07-14 2021-07-14 Battery pack scheduling method Pending CN113561841A (en)

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Citations (9)

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Publication number Priority date Publication date Assignee Title
US20120306445A1 (en) * 2011-06-01 2012-12-06 Kookmin University Industry Academy Cooperation Foundation Battery exchanging method for electric vehicle
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CN107719142A (en) * 2016-08-13 2018-02-23 重庆无线绿洲通信技术有限公司 A kind of method and device of battery altering fixed station to the automatic replacing battery of electric car
CN108045823A (en) * 2017-12-30 2018-05-18 董洪刚 Intelligent battery changes electric system
CN111008806A (en) * 2019-12-16 2020-04-14 北京计算机技术及应用研究所 Automatic picking method based on RFID
CN111554048A (en) * 2020-04-26 2020-08-18 深圳来电科技有限公司 Mobile power supply leasing equipment and warehouse way number setting method thereof
CN111806292A (en) * 2020-07-15 2020-10-23 博众精工科技股份有限公司 Method and device for picking and placing battery in battery changing station and terminal
CN111959340A (en) * 2020-08-20 2020-11-20 博众精工科技股份有限公司 Battery changing station and operation method thereof
CN112572222A (en) * 2019-09-12 2021-03-30 北京新能源汽车股份有限公司 Vehicle battery replacement station and control method and control device thereof

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120306445A1 (en) * 2011-06-01 2012-12-06 Kookmin University Industry Academy Cooperation Foundation Battery exchanging method for electric vehicle
CN103530750A (en) * 2013-10-09 2014-01-22 国网上海市电力公司 Intelligent charging-conversion service network inventory warehousing and ex-warehouse management method and system on basis of RFID (radio frequency identification devices)
CN107719142A (en) * 2016-08-13 2018-02-23 重庆无线绿洲通信技术有限公司 A kind of method and device of battery altering fixed station to the automatic replacing battery of electric car
CN108045823A (en) * 2017-12-30 2018-05-18 董洪刚 Intelligent battery changes electric system
CN112572222A (en) * 2019-09-12 2021-03-30 北京新能源汽车股份有限公司 Vehicle battery replacement station and control method and control device thereof
CN111008806A (en) * 2019-12-16 2020-04-14 北京计算机技术及应用研究所 Automatic picking method based on RFID
CN111554048A (en) * 2020-04-26 2020-08-18 深圳来电科技有限公司 Mobile power supply leasing equipment and warehouse way number setting method thereof
CN111806292A (en) * 2020-07-15 2020-10-23 博众精工科技股份有限公司 Method and device for picking and placing battery in battery changing station and terminal
CN111959340A (en) * 2020-08-20 2020-11-20 博众精工科技股份有限公司 Battery changing station and operation method thereof

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