WO2018095039A1 - Remote intelligent battery management system - Google Patents

Remote intelligent battery management system Download PDF

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Publication number
WO2018095039A1
WO2018095039A1 PCT/CN2017/091981 CN2017091981W WO2018095039A1 WO 2018095039 A1 WO2018095039 A1 WO 2018095039A1 CN 2017091981 W CN2017091981 W CN 2017091981W WO 2018095039 A1 WO2018095039 A1 WO 2018095039A1
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Prior art keywords
data
battery
lithium battery
module
center
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PCT/CN2017/091981
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French (fr)
Chinese (zh)
Inventor
王海帆
吴晋
黄翔
曾萍丹
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深圳市清深科技有限公司
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Publication of WO2018095039A1 publication Critical patent/WO2018095039A1/en

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M10/4257—Smart batteries, e.g. electronic circuits inside the housing of the cells or 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Definitions

  • the invention relates to the field of electrical energy storage system and micro-grid energy management technology, in particular to a remote battery intelligent management system.
  • the traditional battery management system only manages and protects itself by the embedded software and hardware system inside the battery pack, or saves the battery operation data through built-in devices such as SD card, but has no remote real-time management capability for a large number of battery packs shipped out.
  • the user needs to provide warranty and feedback to the battery pack supplier, and the supplier needs to send someone to the field to directly connect the battery pack with the computer and other devices to obtain data or even the battery pack data cannot be obtained due to the failure.
  • an intelligent management system for a lithium battery energy storage module According to the geographical location information of the battery pack, a flexible intelligent charging and discharging strategy is adopted, which can improve the charging and discharging efficiency of the battery and reduce the energy storage module. Cost, improve battery pack safety, and improve overall energy use economic benefits.
  • the present invention provides a remote battery intelligent management system, comprising: at least two battery packs, a data analysis center, and terminal monitoring; wherein the battery pack is provided with a lithium battery pack and a battery management system BMS module. a GPS communication module and a 4G communication module; wherein the BMS module is configured to acquire lithium battery data and manage the lithium battery pack; the GPS module is configured to obtain geographic information location data of the lithium battery pack, and the geographic information location The data includes local altitude and latitude and longitude; the above 4G communication module is used to transmit the above lithium battery data and geographic information location data to the data analysis center through the base station.
  • the data analysis center is provided with a data test center, a data storage center and a cloud artificial intelligence battery analysis center; wherein the data storage center is used for storing the lithium battery pack data and geographic information location data, and the battery test tested in the data test center.
  • the above-mentioned cloud artificial intelligence battery analysis center is used to fit the data stored in the data storage center with the test center experimental data, and analyze an effective charging and discharging strategy for battery protection and improving battery utilization efficiency, and effective battery information;
  • the data analysis center transmits the above charging and discharging strategy to the BMS module through the base station, and the BMS module redefines the charging and discharging strategy in the environment according to the charging and discharging strategy; and transmits the effective battery information to the terminal for monitoring.
  • the lithium battery data includes one or more of charge and discharge data, battery module temperature data, remaining power, and cutoff voltage.
  • the BMS module has a built-in GPS positioning system and is positioned in real time by a built-in GPS positioning system.
  • the base station and the data analysis center transmit data through a public 4G/Internet network.
  • the 4G communication module is provided with a fixed ID, and transmits the lithium battery data acquired by the BMS module and the fixed ID to the base station.
  • the invention can solve the problem of insufficient memory of the BMS module, and the problem that the battery pack data feedback is not timely in the management process, and solve the problem of after-sales fault analysis and the user's active repair; and improve the adaptability of the mobile energy storage module to the environment, and extend the battery pack. Life, optimize and improve energy efficiency.
  • FIG. 1 is a schematic structural diagram of a remote battery intelligent management system according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural view of the data analysis center shown in FIG. 1.
  • FIG. 1 is a schematic structural diagram of a hybrid battery control system according to an embodiment of the present invention.
  • the remote battery intelligent management system includes: a plurality of battery packs, a data analysis center, a communication base station, and terminal monitoring.
  • each battery pack is provided with a lithium battery pack, a battery management system BMS module, a GPS communication module, and a 4G communication module; wherein, the BMS module is used for acquiring lithium battery pack data, and managing the lithium battery pack; the above lithium battery
  • the group data includes one or more of charge and discharge data, battery module temperature data, remaining power, and cutoff voltage.
  • the GPS module is configured to obtain geographic information location data of the lithium battery pack, the geographic information location data includes local altitude and latitude and longitude information; and the 4G communication module is configured to send the lithium battery pack data and the geographic information location data to the communication base station.
  • the BMS module has a built-in GPS positioning system and is positioned in real time by a built-in GPS positioning system.
  • the 4G communication module is provided with a fixed ID, and transmits the lithium battery pack data acquired by the BMS module and the above fixed ID to the communication base station.
  • the communication base station transmits the above lithium battery pack data and geographic information location data to the data analysis center through a public 4G/Internet network.
  • the data analysis center analyzes the effective charging and discharging strategies for battery protection and battery utilization efficiency, and effective battery information based on the above lithium battery pack data and geographic information location data.
  • the data analysis center will analyze the effective charging and discharging strategies for battery protection and battery utilization efficiency through the public 4G/Internet network, and transmit the effective battery information to the communication base station.
  • the communication base station transmits the above charging and discharging strategy to the BMS module, and the BMS module redefined the charging and discharging strategy in the environment according to the charging and discharging strategy; and transmits the effective battery information to the terminal for monitoring.
  • the data analysis center includes a data testing center 21, a data storage center 22, and a cloud artificial intelligence battery analysis center 23.
  • the data storage center 22 is configured to store the lithium battery pack data and the geographic information location data, and the battery test data tested in the data testing center 21;
  • the cloud artificial intelligence battery analysis center 23 is configured to store the data stored in the data storage center 22.
  • the data analysis center transmits the above charging and discharging strategy to the BMS module through the communication base station, the above BMS
  • the module redefines the charging and discharging strategy in the environment according to the above charging and discharging strategy; and transmits the effective battery information to the terminal for monitoring.
  • the management strategy of the hybrid battery control system is adjusted in real time, so that the SOC prediction accuracy of the state of charge is as high as 97%, and the SOH prediction accuracy of the health state is as high as 90%.
  • the charge and discharge conditions are controlled to increase the cycle life by 20%.
  • the battery safety is greatly improved.
  • the cost of after-sales communication is reduced, and the utilization rate and repair rate of the energy module are improved.
  • the embodiment of the invention adjusts the management strategy of the battery management system BMS module in real time, controls the charging and discharging conditions of the lithium battery pack, and greatly improves the battery safety; and determines the working condition of the lithium battery pack to reduce the after-sales communication cost. Improve lithium battery pack utilization and repair rate.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)
  • Tests Of Electric Status Of Batteries (AREA)

Abstract

A remote intelligent battery management system, comprising: at least two battery packs, a data analysis center, and a terminal monitor. Each battery pack is provided therein with a lithium battery set, a battery management system (BMS) module, a GPS communication module, and a 4G communication module. The BMS module is used for obtaining lithium battery set data and managing the lithium battery set; the GPS module is used for obtaining geographic information location data of the lithium battery set; the 4G communication module is used for transmitting the lithium battery set data and the geographic information location data to the data analysis center by means of a base station; the data analysis center is provided with a data test center (21), a data storage center (22), and a cloud-based artificial intelligence battery analysis center (23). The remote intelligent battery management system can adjust a management policy of a BMS in real time, and control charging and discharging conditions of the lithium battery sets, so that the safety of batteries is greatly improved. By determining the working conditions of the lithium battery sets, after-sales communication costs are reduced, and the utilization rate and repair rate of the lithium battery sets are improved.

Description

一种远程电池智能管理系统  Remote battery intelligent management system
技术领域Technical field
本发明涉及电能存储系统，微电网能量管理技术领域，特别涉及一种远程电池智能管理系统。The invention relates to the field of electrical energy storage system and micro-grid energy management technology, in particular to a remote battery intelligent management system.
背景技术Background technique
传统的电池管理系统仅仅依靠电池包内部嵌入式软硬件系统对自身做管理与保护，或者通过SD卡等内置设备保存电池运行数据，而对于发货在外的大量电池包没有远程实时管理能力。一旦电池包出现问题则需要用户向电池包供应商保修和反馈问题，而供应商则需要派人至现场用电脑等设备直接连接电池包获得数据甚至因为故障导致根本无法获得电池包数据。目前并没有在环境和使用方式改变前，就对电池充放电行为及管理系统进行预修改的方案，这会降低整体能源利用率以及经济效益。The traditional battery management system only manages and protects itself by the embedded software and hardware system inside the battery pack, or saves the battery operation data through built-in devices such as SD card, but has no remote real-time management capability for a large number of battery packs shipped out. Once the battery pack has a problem, the user needs to provide warranty and feedback to the battery pack supplier, and the supplier needs to send someone to the field to directly connect the battery pack with the computer and other devices to obtain data or even the battery pack data cannot be obtained due to the failure. At present, there is no pre-modification of the battery charge and discharge behavior and management system before the environment and usage changes, which will reduce the overall energy efficiency and economic benefits.
因此，亟需要设计一种锂电池储能模块的智能管理系统，根据电池组所处的地理位置信息，对其进行柔性智能充电和放电策略，这样能提高电池的充放电效率，降低储能模块成本，提升电池组安全性，提高整体能源使用经济效益。Therefore, it is necessary to design an intelligent management system for a lithium battery energy storage module. According to the geographical location information of the battery pack, a flexible intelligent charging and discharging strategy is adopted, which can improve the charging and discharging efficiency of the battery and reduce the energy storage module. Cost, improve battery pack safety, and improve overall energy use economic benefits.
发明内容Summary of the invention
本发明的目的在于，克服传统的电池管理系统存在的上述技术问题。It is an object of the present invention to overcome the above-mentioned technical problems of conventional battery management systems.
为实现上述目的，本发明提供了一种远程电池智能管理系统，该系统包括：至少2个电池包、数据分析中心和终端监控；其中，电池包内设置有锂电池组、电池管理系统BMS模块、GPS通讯模块、4G通讯模块；其中，BMS模块用于获取锂电池组数据，并对上述锂电池组进行管理；上述GPS模块用于获取上述锂电池组的地理信息位置数据，上述地理信息位置数据包括当地的海拔和经纬度；上述4G通讯模块用于将上述锂电池组数据和地理信息位置数据通过基站传输至上述数据分析中心。To achieve the above object, the present invention provides a remote battery intelligent management system, comprising: at least two battery packs, a data analysis center, and terminal monitoring; wherein the battery pack is provided with a lithium battery pack and a battery management system BMS module. a GPS communication module and a 4G communication module; wherein the BMS module is configured to acquire lithium battery data and manage the lithium battery pack; the GPS module is configured to obtain geographic information location data of the lithium battery pack, and the geographic information location The data includes local altitude and latitude and longitude; the above 4G communication module is used to transmit the above lithium battery data and geographic information location data to the data analysis center through the base station.
上述数据分析中心设置有数据测试中心、数据存储中心和云端人工智能电池分析中心；其中，上述数据存储中心用于存储上述锂电池组数据和地理信息位置数据，以及在数据测试中心测试的电池实验数据；上述云端人工智能电池分析中心用于将数据存储中心存储的数据与测试中心实验数据进行拟合，分析出有效的对电池保护及提高电池利用效率的充放电策略，及有效电池信息；上述数据分析中心通过基站将上述充放电策略传输至上述BMS模块，上述BMS模块根据上述充放电策略重新定义环境下充放电策略；并将有效电池信息传输到终端监控。The data analysis center is provided with a data test center, a data storage center and a cloud artificial intelligence battery analysis center; wherein the data storage center is used for storing the lithium battery pack data and geographic information location data, and the battery test tested in the data test center. The above-mentioned cloud artificial intelligence battery analysis center is used to fit the data stored in the data storage center with the test center experimental data, and analyze an effective charging and discharging strategy for battery protection and improving battery utilization efficiency, and effective battery information; The data analysis center transmits the above charging and discharging strategy to the BMS module through the base station, and the BMS module redefines the charging and discharging strategy in the environment according to the charging and discharging strategy; and transmits the effective battery information to the terminal for monitoring.
优选地，上述锂电池组数据包括充放电数据、电池模组温度数据、剩余电量和截止电压中的一种或多种。Preferably, the lithium battery data includes one or more of charge and discharge data, battery module temperature data, remaining power, and cutoff voltage.
优选地，上述BMS模块内置GPS定位系统，通过内置GPS定位系统实时定位。Preferably, the BMS module has a built-in GPS positioning system and is positioned in real time by a built-in GPS positioning system.
优选地，上述基站与上述数据分析中心之间通过公共4G/Internet网络传输数据。Preferably, the base station and the data analysis center transmit data through a public 4G/Internet network.
优选地，上述4G通讯模块设置有固定ID，并将上述BMS模块获取的锂电池组数据和上述固定ID传输至基站。Preferably, the 4G communication module is provided with a fixed ID, and transmits the lithium battery data acquired by the BMS module and the fixed ID to the base station.
本发明能够解决BMS模块内存不足问题，以及管理过程中电池包数据反馈不及时等问题，以及解决售后故障分析及用户主动报修问题；并提高了移动储能模块对环境的适应性，延长电池包寿命，优化并提高能源利用效率。The invention can solve the problem of insufficient memory of the BMS module, and the problem that the battery pack data feedback is not timely in the management process, and solve the problem of after-sales fault analysis and the user's active repair; and improve the adaptability of the mobile energy storage module to the environment, and extend the battery pack. Life, optimize and improve energy efficiency.
附图说明DRAWINGS
图1是本发明实施例提供的一种远程电池智能管理系统结构示意图；1 is a schematic structural diagram of a remote battery intelligent management system according to an embodiment of the present invention;
图2是图1所示数据分析中心结构示意图。2 is a schematic structural view of the data analysis center shown in FIG. 1.
具体实施方式detailed description
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. It is a partial embodiment of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
为便于对本发明实施例的理解，下面将结合附图以具体实施例做进一步的解释说明，实施例并不构成对本发明实施例的限定。In order to facilitate the understanding of the embodiments of the present invention, the embodiments of the present invention are not to be construed as limiting.
图1是本发明实施例提供的一种混合电池控制系统结构示意图。如图1所示，该远程电池智能管理系统包括：多个电池包、数据分析中心、通信基站和终端监控。其中，每个电池包内设置有锂电池组、电池管理系统BMS模块、GPS通讯模块、4G通讯模块；其中，BMS模块用于获取锂电池组数据，并对锂电池组进行管理；上述锂电池组数据包括充放电数据、电池模组温度数据、剩余电量和截止电压中的一种或多种数据。GPS模块用于获取锂电池组的地理信息位置数据，地理信息位置数据包括当地的海拔和经纬度信息；4G通讯模块用于将上述锂电池组数据和地理信息位置数据发送至通信基站。FIG. 1 is a schematic structural diagram of a hybrid battery control system according to an embodiment of the present invention. As shown in FIG. 1, the remote battery intelligent management system includes: a plurality of battery packs, a data analysis center, a communication base station, and terminal monitoring. Wherein, each battery pack is provided with a lithium battery pack, a battery management system BMS module, a GPS communication module, and a 4G communication module; wherein, the BMS module is used for acquiring lithium battery pack data, and managing the lithium battery pack; the above lithium battery The group data includes one or more of charge and discharge data, battery module temperature data, remaining power, and cutoff voltage. The GPS module is configured to obtain geographic information location data of the lithium battery pack, the geographic information location data includes local altitude and latitude and longitude information; and the 4G communication module is configured to send the lithium battery pack data and the geographic information location data to the communication base station.
需要说明的是，BMS模块内置有GPS定位系统，通过内置GPS定位系统实时定位。4G通讯模块设置有固定ID，并将上述BMS模块获取的锂电池组数据和上述固定ID传输至通信基站。It should be noted that the BMS module has a built-in GPS positioning system and is positioned in real time by a built-in GPS positioning system. The 4G communication module is provided with a fixed ID, and transmits the lithium battery pack data acquired by the BMS module and the above fixed ID to the communication base station.
通信基站通过公共4G/Internet网络将上述锂电池组数据和地理信息位置数据传输至数据分析中心。数据分析中心根据上述锂电池组数据和地理信息位置数据分析出有效的对电池保护及提高电池利用效率的充放电策略，及有效电池信息。数据分析中心再通过公共4G/Internet网络将分析出有效的对电池保护及提高电池利用效率的充放电策略，及有效电池信息传输至通信基站。通信基站将上述充放电策略传输至BMS模块，上述BMS模块根据充放电策略重新定义环境下充放电策略；并将有效电池信息传输到终端监控。The communication base station transmits the above lithium battery pack data and geographic information location data to the data analysis center through a public 4G/Internet network. The data analysis center analyzes the effective charging and discharging strategies for battery protection and battery utilization efficiency, and effective battery information based on the above lithium battery pack data and geographic information location data. The data analysis center will analyze the effective charging and discharging strategies for battery protection and battery utilization efficiency through the public 4G/Internet network, and transmit the effective battery information to the communication base station. The communication base station transmits the above charging and discharging strategy to the BMS module, and the BMS module redefined the charging and discharging strategy in the environment according to the charging and discharging strategy; and transmits the effective battery information to the terminal for monitoring.
图2是图1所示的数据分析中心结构示意图。如图2所示，该数据分析中心包括有数据测试中心21、数据存储中心22和云端人工智能电池分析中心23。其中，上述数据存储中心22用于存储上述锂电池组数据和地理信息位置数据，以及在数据测试中心21测试的电池实验数据；云端人工智能电池分析中心23用于将数据存储中心22存储的数据与测试中心21实验数据进行拟合，分析出有效的对电池保护及提高电池利用效率的充放电策略，及有效电池信息；数据分析中心通过通信基站将上述充放电策略传输至BMS模块，上述BMS模块根据上述充放电策略重新定义环境下充放电策略；并将有效电池信息传输到终端监控。2 is a schematic structural view of the data analysis center shown in FIG. 1. As shown in FIG. 2, the data analysis center includes a data testing center 21, a data storage center 22, and a cloud artificial intelligence battery analysis center 23. The data storage center 22 is configured to store the lithium battery pack data and the geographic information location data, and the battery test data tested in the data testing center 21; the cloud artificial intelligence battery analysis center 23 is configured to store the data stored in the data storage center 22. Fitting with the experimental data of the test center 21, analyzing the effective charging and discharging strategy for battery protection and improving battery utilization efficiency, and effective battery information; the data analysis center transmits the above charging and discharging strategy to the BMS module through the communication base station, the above BMS The module redefines the charging and discharging strategy in the environment according to the above charging and discharging strategy; and transmits the effective battery information to the terminal for monitoring.
本发明实施例通过混合电池控制系统的管理策略进行实时调整，实现荷电状态SOC预测精度高达97%，健康状态SOH预测精度高达90%。通过对电池管理系统BMS模块程序进行修改，控制充放电条件，使得循环寿命提高20%。通过对电池组工作环境以及工作过程（充放电过程、剩余电量、剩余电量在环境下的自放电预测）监控并调整，使得电池安全性大幅度提高。通过对电池组工作状况进行判断，降低售后沟通成本，提高能量模块利用率及修复率。In the embodiment of the invention, the management strategy of the hybrid battery control system is adjusted in real time, so that the SOC prediction accuracy of the state of charge is as high as 97%, and the SOH prediction accuracy of the health state is as high as 90%. By modifying the battery management system BMS module program, the charge and discharge conditions are controlled to increase the cycle life by 20%. By monitoring and adjusting the working environment of the battery pack and the working process (charge and discharge process, remaining power, self-discharge prediction of the remaining power in the environment), the battery safety is greatly improved. By judging the working condition of the battery pack, the cost of after-sales communication is reduced, and the utilization rate and repair rate of the energy module are improved.
本发明实施例通过对电池管理系统BMS模块的管理策略进行实时调整，控制锂电池组的充放电条件，使得电池安全性大幅度提高；通过对锂电池组的工作状况进行判断，降低售后沟通成本，提高锂电池组利用率及修复率。The embodiment of the invention adjusts the management strategy of the battery management system BMS module in real time, controls the charging and discharging conditions of the lithium battery pack, and greatly improves the battery safety; and determines the working condition of the lithium battery pack to reduce the after-sales communication cost. Improve lithium battery pack utilization and repair rate.
以上对本发明所提供的一种电池包进行了详细介绍，并结合具体实施例对本发明做了进一步阐述，必须指出，以上实施例的说明不用于限制而只是用于帮助理解本发明的核心思想，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，对本发明进行的任何改进以及与本产品等同的替代方案，也属于本发明权利要求的保护范围内。The battery pack of the present invention has been described in detail above, and the present invention is further described in conjunction with the specific embodiments. It should be noted that the description of the above embodiments is not intended to be limiting but merely to help understand the core idea of the present invention. It is to be understood by those skilled in the art that any modifications of the present invention and equivalents to the present invention are also within the scope of the appended claims.

Claims (6)

  1. 一种远程电池智能管理系统，其特征包括：至少2个电池包、数据分析中心和终端监控，其中，A remote battery intelligent management system, comprising: at least two battery packs, a data analysis center, and terminal monitoring, wherein
    所述电池包内设置有锂电池组、电池管理系统BMS模块、GPS通讯模块、4G通讯模块；其中，所述BMS模块用于获取所述锂电池组数据，并对所述锂电池组进行管理；所述GPS模块用于获取所述锂电池组的地理信息位置数据，所述地理信息位置数据包括当地的海拔和经纬度；所述4G通讯模块用于将所述锂电池组数据和地理信息位置数据通过基站传输至所述数据分析中心；The battery pack is provided with a lithium battery pack, a battery management system BMS module, a GPS communication module, and a 4G communication module. The BMS module is configured to acquire the lithium battery pack data and manage the lithium battery pack. The GPS module is configured to acquire geographic information location data of the lithium battery pack, where the geographic information location data includes local altitude and latitude and longitude; the 4G communication module is configured to use the lithium battery data and geographic information location Data is transmitted to the data analysis center through the base station;
    所述数据分析中心设置有数据测试中心、数据存储中心和云端人工智能电池分析中心；其中，所述数据存储中心用于存储所述锂电池组数据和地理信息位置数据，以及在数据测试中心测试的电池实验数据；所述云端人工智能电池分析中心用于将数据存储中心存储的数据与测试中心实验数据进行拟合，分析出有效的对电池保护及提高电池利用效率的充放电策略，及有效电池信息；所述数据分析中心通过基站将所述充放电策略传输至所述BMS模块，所述BMS模块根据所述充放电策略重新定义环境下充放电策略；并将有效电池信息传输到终端监控。The data analysis center is provided with a data testing center, a data storage center, and a cloud artificial intelligence battery analysis center; wherein the data storage center is configured to store the lithium battery data and geographic information location data, and test in a data testing center. Battery experimental data; the cloud artificial intelligence battery analysis center is used to fit the data stored in the data storage center with the test center experimental data, and analyze an effective charging and discharging strategy for battery protection and improving battery utilization efficiency, and effective Battery information; the data analysis center transmits the charging and discharging strategy to the BMS module through a base station, and the BMS module redefines an environment charging and discharging strategy according to the charging and discharging strategy; and transmits effective battery information to the terminal monitoring .
  2. 根据权利要求1所述的系统，其特征在于，所述锂电池组数据包括充放电数据、电池模组温度数据、剩余电量和截止电压中的一种或多种。The system of claim 1 wherein said lithium battery data comprises one or more of charge and discharge data, battery module temperature data, remaining power, and cutoff voltage.
  3. 根据权利要求1所述的系统，其特征在于，所述BMS模块内置GPS定位系统，通过内置GPS定位系统实时定位。The system of claim 1 wherein said BMS module has a built-in GPS positioning system that is positioned in real time by a built-in GPS positioning system.
  4. 根据权利要求1所述的系统，其特征在于，所述基站与所述数据分析中心之间通过公共4G/Internet网络传输数据。The system of claim 1 wherein said base station and said data analysis center communicate data over a common 4G/Internet network.
  5. 根据权利要求1所述的系统，其特征在于，所述4G通讯模块设置有固定ID，并将所述BMS模块获取的锂电池组数据和所述固定ID传输至基站。The system according to claim 1, wherein said 4G communication module is provided with a fixed ID, and transmits the lithium battery pack data acquired by said BMS module and said fixed ID to a base station.
  6. 根据权利要求1所述的系统，其特征在于，通过所述BMS模块监控并记录锂电池组在具体环境中的充放电曲线、截止电压剩余电量和模块温度中的一种或多种。The system of claim 1 wherein one or more of a charge and discharge curve, a cutoff voltage remaining capacity, and a module temperature of the lithium battery pack in a particular environment are monitored and recorded by the BMS module.
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109687044A (en) * 2019-01-08 2019-04-26 安徽理士新能源发展有限公司 A kind of communication base station wisdom lithium-ions battery
CN109703387A (en) * 2019-02-22 2019-05-03 国成能源建设集团股份有限公司 A kind of intelligent drawing and pulling type device of automobile lithium battery energy storage device
CN111002868A (en) * 2019-11-07 2020-04-14 上海腾通信息科技有限公司 Intelligent hybrid controller for battery pack
WO2020091586A1 (en) * 2018-10-30 2020-05-07 Seerauber Automotive De México, S.A.P.I. De C.V. Lithium-ion smart battery
CN112331941A (en) * 2020-11-20 2021-02-05 中国科学技术大学 Cloud auxiliary battery management system and method
CN112467837A (en) * 2020-11-20 2021-03-09 上海韧思能源科技有限公司 Power or energy storage battery maintenance equipment and maintenance method
CN113538834A (en) * 2021-05-31 2021-10-22 安徽千航新能源科技有限公司 Real-time monitoring system for power lithium battery pack
FR3112900A1 (en) 2020-07-27 2022-01-28 Limatech Serial modular block (B l M o S e )
FR3112862A1 (en) 2020-07-27 2022-01-28 Limatech Semi-modular storage battery management system
CN114977416A (en) * 2022-06-14 2022-08-30 湖北亿纬动力有限公司 Battery management method, system and computer readable storage medium
US11555858B2 (en) 2019-02-25 2023-01-17 Toyota Research Institute, Inc. Systems, methods, and storage media for predicting a discharge profile of a battery pack
CN117154831A (en) * 2023-11-01 2023-12-01 潍坊学院 Micro-grid management system and method

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106487066A (en) * 2016-11-22 2017-03-08 深圳市清深科技有限公司 A kind of remote battery intelligent management system
CN110729801A (en) * 2017-05-11 2020-01-24 彭爱勤 Management system of intelligent battery
CN110310039B (en) * 2019-07-02 2023-04-14 北斗航天信息网络技术有限公司 Online optimization monitoring system and monitoring method for full life cycle of lithium battery
CN110361656A (en) * 2019-07-12 2019-10-22 深圳六滴科技有限公司 A kind of battery electric quantity remote Inspection and monitoring system
CN110361655A (en) * 2019-07-12 2019-10-22 深圳六滴科技有限公司 A kind of battery electric quantity remote detection monitoring method
CN112714156A (en) * 2020-12-18 2021-04-27 北京新能源汽车技术创新中心有限公司 Cloud BMS (battery management system) cooperative management method and system and vehicle

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101950991A (en) * 2010-08-06 2011-01-19 王大地 Method for performing real-time monitoring and dynamic repairing on remote cell stack by remote sensing technology
CN102074978A (en) * 2010-10-27 2011-05-25 国家电网公司 Charging and replacing power station, charging and replacing control method and system and operation monitoring system
US20130085696A1 (en) * 2010-06-24 2013-04-04 Panasonic Corporation Method and system for obtaining degradation of battery using degradation model and parameters related to the degradation
CN105225065A (en) * 2015-10-22 2016-01-06 哈尔滨巴特瑞资源再生科技有限公司 Based on serondary lithium battery supervisory system and the management method thereof of Electronic Health Record system
CN205280910U (en) * 2015-12-25 2016-06-01 惠州市蓝微新源技术有限公司 Group battery state remote monitering system
CN105904986A (en) * 2016-04-26 2016-08-31 深圳市德传技术有限公司 Remote battery management and detection method and system for new-energy vehicle
CN106487066A (en) * 2016-11-22 2017-03-08 深圳市清深科技有限公司 A kind of remote battery intelligent management system

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2679437A1 (en) * 2012-06-29 2014-01-01 O2 Micro, Inc. Method and system for regulating battery operation
CN103516003A (en) * 2012-06-29 2014-01-15 迈实电子(上海)有限公司 Method, system and device for adjusting working state of battery pack
CN202817806U (en) * 2012-07-18 2013-03-20 西安冠通数源电子有限公司 Remote control system for transmitting BMS battery management system state information data back
CN104466274A (en) * 2014-10-20 2015-03-25 常州格力博有限公司 Remote battery management system based on GPRS
CN105207307B (en) * 2015-10-23 2018-07-20 小米科技有限责任公司 Battery intelligent control method, device and terminal
CN105789716B (en) * 2016-03-03 2018-04-24 北京交通大学 A kind of broad sense battery management system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130085696A1 (en) * 2010-06-24 2013-04-04 Panasonic Corporation Method and system for obtaining degradation of battery using degradation model and parameters related to the degradation
CN101950991A (en) * 2010-08-06 2011-01-19 王大地 Method for performing real-time monitoring and dynamic repairing on remote cell stack by remote sensing technology
CN102074978A (en) * 2010-10-27 2011-05-25 国家电网公司 Charging and replacing power station, charging and replacing control method and system and operation monitoring system
CN105225065A (en) * 2015-10-22 2016-01-06 哈尔滨巴特瑞资源再生科技有限公司 Based on serondary lithium battery supervisory system and the management method thereof of Electronic Health Record system
CN205280910U (en) * 2015-12-25 2016-06-01 惠州市蓝微新源技术有限公司 Group battery state remote monitering system
CN105904986A (en) * 2016-04-26 2016-08-31 深圳市德传技术有限公司 Remote battery management and detection method and system for new-energy vehicle
CN106487066A (en) * 2016-11-22 2017-03-08 深圳市清深科技有限公司 A kind of remote battery intelligent management system

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020091586A1 (en) * 2018-10-30 2020-05-07 Seerauber Automotive De México, S.A.P.I. De C.V. Lithium-ion smart battery
CN109687044A (en) * 2019-01-08 2019-04-26 安徽理士新能源发展有限公司 A kind of communication base station wisdom lithium-ions battery
CN109703387A (en) * 2019-02-22 2019-05-03 国成能源建设集团股份有限公司 A kind of intelligent drawing and pulling type device of automobile lithium battery energy storage device
CN109703387B (en) * 2019-02-22 2024-01-19 国成能源建设集团股份有限公司 Intelligent drawing type device of automobile lithium battery energy storage device
US11555858B2 (en) 2019-02-25 2023-01-17 Toyota Research Institute, Inc. Systems, methods, and storage media for predicting a discharge profile of a battery pack
CN111002868A (en) * 2019-11-07 2020-04-14 上海腾通信息科技有限公司 Intelligent hybrid controller for battery pack
FR3112862A1 (en) 2020-07-27 2022-01-28 Limatech Semi-modular storage battery management system
FR3112900A1 (en) 2020-07-27 2022-01-28 Limatech Serial modular block (B l M o S e )
WO2022023200A1 (en) 2020-07-27 2022-02-03 Limatech Modular series-connected battery pack (blmose)
WO2022023203A1 (en) 2020-07-27 2022-02-03 Limatech Semi-modular accumulator battery management system
CN112467837A (en) * 2020-11-20 2021-03-09 上海韧思能源科技有限公司 Power or energy storage battery maintenance equipment and maintenance method
CN112331941B (en) * 2020-11-20 2024-01-05 中国科学技术大学 Cloud auxiliary battery management system and method
CN112331941A (en) * 2020-11-20 2021-02-05 中国科学技术大学 Cloud auxiliary battery management system and method
CN113538834A (en) * 2021-05-31 2021-10-22 安徽千航新能源科技有限公司 Real-time monitoring system for power lithium battery pack
CN114977416A (en) * 2022-06-14 2022-08-30 湖北亿纬动力有限公司 Battery management method, system and computer readable storage medium
CN117154831A (en) * 2023-11-01 2023-12-01 潍坊学院 Micro-grid management system and method
CN117154831B (en) * 2023-11-01 2024-03-19 潍坊学院 Micro-grid management system and method

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