CN114527396A - Intelligent open type battery management system based on cloud edge cooperation - Google Patents
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract
The invention relates to the technical field of energy storage, and discloses an intelligent open type battery management system based on cloud edge cooperation, which comprises a battery system cloud platform, a battery system edge intelligent terminal, a battery cluster management unit and an operating system, can effectively solve the problem that the current battery management system is too closed, by decoupling between the software and hardware systems, the closed architecture of the original software and hardware system is broken, the compatible application of different software functional modules APP in the battery management system is realized, can completely realize continuous iteration upgrade of AI machine learning based on battery data drive, locally accelerate inference execution in real time, improve the accuracy of advanced estimation, improve the intelligent level of fault diagnosis, the method can be extended to other application scenes with high-level application function requirements, and intelligent upgrading can be realized through a cloud-edge architecture and a cloud-edge cooperation mechanism.
Description
Technical Field
The invention relates to the technical field of energy storage, in particular to an intelligent open type battery management system based on cloud edge cooperation.
Background
In a battery energy storage system, a battery management system realizes functions of monitoring, controlling, protecting, calculating and the like of an energy storage battery, is generally of a three-level or two-level architecture, and generally consists of a master controller unit (BAU), a battery cluster end control and management unit (BCU) and a single Battery Management Unit (BMU) in hardware; the software is generally composed of functional modules for communication, acquisition, control, protection, calculation and the like. The main problems with current battery management systems are as follows:
(1) the software and hardware system is a closed architecture, can only be upgraded by a supplier according to the software iteration condition of the supplier, and cannot realize the compatible application of innovative software algorithms of different manufacturers on the same hardware platform;
(2) the battery management system is in a local deployment mode, is limited by hardware resources, has simple software function, cannot support AI algorithm application such as machine learning and the like, has poor applicability in system structure, has weak functions in advanced estimation (capacity estimation and health state estimation) and fault diagnosis (active safety early warning and diagnosis), lacks in-industry advanced algorithms, and has low capacity estimation and health state estimation accuracy, low intelligent early warning level and active safety protection function loss.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent open type battery management system based on cloud edge cooperation, which can effectively solve the problem that the current battery management system is too closed, breaks the closed framework of the original software and hardware system through the decoupling between the software and hardware systems, realizes the compatible application of different software function modules APP in the battery management system, can completely realize the continuous iterative upgrade of AI machine (depth) learning based on battery data drive, locally can accelerate the inference execution in real time, improves the accuracy rate of advanced estimation, improves the intelligent level of fault diagnosis, can be extended to other application scenes with advanced application function requirements, can realize the intelligent upgrade through the cloud edge framework and the cloud edge cooperation mechanism, solves the problems of high closed performance and poor compatibility of the current battery management system, poor estimation precision and intelligent level.
(II) technical scheme
In order to effectively solve the problem that the current battery management system is too closed, the closed architecture of the original software and hardware system is broken through decoupling between the software and hardware systems, compatible application of different software function modules APP in the battery management system is realized, continuous iteration upgrading of AI machine (depth) learning based on battery data driving can be completely realized, reasoning execution can be accelerated in real time locally, the accuracy of advanced estimation is improved, the intelligent level of fault diagnosis is improved, the intelligent upgrading method can be extended to other application scenes with advanced application function requirements, and the purpose of intelligent upgrading can be realized through a cloud-side architecture and a cloud-side cooperative mechanism, the invention provides the following technical scheme: the intelligent open type battery management system based on cloud edge cooperation comprises a battery system cloud platform, a battery system edge intelligent terminal, a battery cluster management unit and an operating system, wherein the output ends of an energy storage converter, a control and energy management system and the battery system cloud platform are connected with the input end of the battery system edge intelligent terminal, the output end of the battery system edge intelligent terminal is connected with the input end of the battery cluster management unit, and the operating system comprises a container, an edge computing SDK and a system kernel.
Preferably, the battery cluster management unit comprises a communication module, a collection module, a storage module, a control module, a protection module, a high-speed communication module, a data filtering module, an advanced estimation module and a fault diagnosis module.
Preferably, the advanced estimation is based on the estimation algorithm upgrading of the cloud deep learning training, and the fault diagnosis is based on the diagnosis algorithm upgrading and the ontology accelerated reasoning of the cloud deep learning training.
Preferably, the battery system edge intelligent terminal is connected with the battery system cloud platform through 4G/5G, the battery system edge intelligent terminal is connected with the energy storage converter through RS485/CAN/LAN, the battery system edge intelligent terminal is connected with the monitoring and energy management system through LAN, and the battery system edge intelligent terminal is connected with the battery cluster management unit through CAN to form a side-cloud-side cooperative information battery management system.
Preferably, the container comprises a plurality of APPs such as basic calculation, advanced estimation and fault diagnosis, and the system kernel comprises DI/DO, RS485, CAN and ETH.
Preferably, the operating system further comprises bottom hardware, the bottom hardware is used for communication, acquisition, storage and control, and a flat, flexible and efficient system architecture based on software definition is realized by adopting an open architecture of the bottom hardware, a system kernel, an edge computing SDK and a container (a plurality of APPs).
Preferably, the acquisition module is used for acquiring basic data of the battery cluster management unit and the battery tube unit, the data filtering and cleaning module is used for preprocessing the acquired data, and the high-speed communication module is used for uploading the preprocessed data to the battery system cloud platform and downloading the preprocessed data to the battery system edge intelligent terminal.
Preferably, the advanced estimation module and the fault diagnosis module are used for classifying data uploaded to a cloud platform of the battery system according to requirements of different function modules, performing further local real-time reasoning respectively, and calculating a corresponding advanced estimation result or a fault diagnosis early warning result, wherein the advanced estimation result is used for uploading to an EMS (energy management system) as a regulation and control parameter, the fault diagnosis early warning result is used for driving control protection to act, so that intelligent protection early warning on the battery system is realized, and the diagnosis result is synchronously uploaded to the EMS as system-level control protection.
(III) advantageous effects
Compared with the prior art, the invention provides an intelligent open type battery management system based on cloud edge coordination, which has the following beneficial effects:
(1) the battery system edge intelligent terminal based on the high-speed communication module, the data filtering and cleaning module, the advanced estimation module (based on the estimation algorithm upgrading of the cloud deep learning training), the fault diagnosis module (based on the diagnosis algorithm upgrading of the cloud deep learning training and the local accelerated reasoning) and the open architecture design of the edge computing SDK and the container (a plurality of APPs) can effectively solve the problem that the current battery management system is too closed, and through the decoupling between the software and hardware systems, the closed architecture of the original software and hardware system is broken through, and the compatible application of different software function modules APP in the battery management system is realized.
(2) According to the invention, based on the cloud-edge architecture and the cloud-edge cooperative interaction mechanism, through the design of the cloud-edge architecture of the battery system cloud platform and the battery system edge intelligent terminal, the algorithm function design of the battery system cloud platform side machine (depth) learning, the design of the battery system edge intelligent terminal side real-time reasoning module and the design of the cloud-edge interaction mechanism of the battery system cloud platform and the battery system edge intelligent terminal, the continuous iterative upgrade of the battery data-driven AI machine (depth) learning can be completely realized, the reasoning execution can be accelerated locally in real time, the accuracy of advanced estimation is improved, and the intelligent level of fault diagnosis is improved.
(3) The method can be extended to other application scenes with high-level application function requirements, intelligent upgrading can be realized through a cloud-edge architecture and a cloud-edge cooperative mechanism, such as an electric vehicle ordered charging system, a new energy active operation and maintenance system application scene and the like, and a solution is provided for a system with intelligent upgrading.
Drawings
Fig. 1 is a schematic diagram of a system architecture of an intelligent open battery management system based on cloud-edge coordination according to the present invention;
fig. 2 is a schematic diagram of functional partitioning of an edge intelligent terminal of a battery system of an intelligent open battery management system based on cloud-edge coordination according to the present invention;
fig. 3 is a schematic diagram of a functional architecture of a battery system edge intelligent terminal of the intelligent open battery management system based on cloud-edge coordination according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment;
referring to fig. 1, an intelligent open battery management system based on cloud-edge collaboration includes a battery system cloud platform, a battery system edge intelligent terminal, a battery cluster management unit and an operating system, where an output end of the battery system cloud platform is connected with an input end of the battery system edge intelligent terminal, an output end of the battery system edge intelligent terminal is connected with an input end of the battery cluster management unit, and a traditional battery system management unit is upgraded into the battery system edge intelligent terminal, and can be extended to other application scenarios with advanced application function requirements.
Furthermore, the battery system edge intelligent terminal is connected with the battery system cloud platform through 4G/5G, the battery system edge intelligent terminal is connected with the energy storage converter through RS485 CAN/LAN, the battery system edge intelligent terminal is connected with the energy management system through LAN and monitoring, and the battery system edge intelligent terminal is connected with the battery cluster management unit through CAN to form an information battery management system with cloud and cooperation.
Example two;
referring to fig. 3, the operating system includes a container, an edge computing SDK and a system kernel, the container includes multiple APPs such as basic computing, advanced estimation and fault diagnosis, the system kernel includes DI/DO, RS485, CAN, ETH, the operating system further includes bottom hardware, the bottom hardware is used for communication, acquisition, storage and control, and an open architecture of the bottom hardware, the system kernel, the edge computing SDK and the container (multiple APPs) is adopted, so that a flat, flexible and efficient system architecture based on software definition is realized, the problem that the current battery management system is too closed is effectively solved, a closed architecture of an original software and hardware system is broken through decoupling between software and hardware systems, and compatible application of different software function modules APPs in the battery management system is realized.
Example three;
referring to fig. 2, the battery cluster management unit includes a communication module, an acquisition module, a storage module, a control module, a protection module, a high-speed communication module, a data filtering module, an advanced estimation module, and a fault diagnosis module, the battery system edge intelligent terminal acquires basic data of the battery cluster management unit and the battery management unit, performs data filtering and cleaning, preprocesses the acquired data, and uploads the preprocessed data to the battery system cloud platform through the high-speed communication, the battery system cloud platform iterates the uploaded data by using a machine (deep) learning algorithm according to different functional module requirements of advanced estimation and fault diagnosis, and downloads a learning result to the battery system edge intelligent terminal in real time through the high-speed communication, and the advanced estimation module (updated based on the estimation algorithm of the deep cloud learning training) in the battery system edge intelligent terminal, The fault diagnosis module (based on the diagnosis algorithm upgrading of the cloud deep learning training and local accelerated reasoning) receives the learning result, respectively carries out further local real-time reasoning, and calculates a corresponding advanced estimation result or a fault diagnosis early warning result; the advanced estimation result can be uploaded to a monitoring and energy management system to be used as a regulation and control parameter; the fault diagnosis early warning result can drive the control protection to act, and intelligent protection early warning of the battery system is realized; and synchronously uploading the diagnosis result to a monitoring and energy management system to be used as system-level control protection.
Further, advanced estimation is based on estimation algorithm upgrading of cloud deep learning training, and fault diagnosis is based on diagnosis algorithm upgrading and ontology accelerated reasoning of the cloud deep learning training.
Furthermore, the acquisition module is used for acquiring basic data of the battery cluster management unit and the single battery management unit, the data filtering and cleaning module is used for preprocessing the acquired data, and the high-speed communication module is used for uploading the preprocessed data to the battery system cloud platform and downloading the preprocessed data to the battery system edge intelligent terminal.
Further, the advanced estimation module and the fault diagnosis module are used for classifying the data uploaded to the cloud platform of the battery system according to the requirements of different functional modules, performing further local real-time reasoning respectively, and calculating a corresponding advanced estimation result or a corresponding fault diagnosis early warning result. The high-level estimation result is used for uploading to a monitoring and energy management system to serve as a regulation parameter, the fault diagnosis early warning result is used for driving control protection to act, intelligent protection early warning of the battery system is achieved, the diagnosis result is synchronously uploaded to the monitoring and energy management system to serve as system-level control protection.
It is to be noted that;
1) the advanced estimation and fault diagnosis algorithm of BCP is not limited to some single machine (deep) learning algorithm;
2) the advanced estimation module of the BEU may include, but is not limited to, advanced application functions such as battery capacity SOC estimation, battery monitoring state SOH estimation, battery life prediction estimation, etc.;
3) the fault diagnosis module of the BEU can comprise and is not limited to high-level application functions such as safety early warning, fault diagnosis and active protection;
4) the cloud edge cooperative work of the BCP and the BEU aims at the realization of different advanced estimation and fault diagnosis algorithms, the BCP and the BEU are required to be completed together, and the principle is that machine (depth) learning and the like are completed in the BCP which needs to consume a large amount of computing resources, and the work which needs lightweight computing and real-time reasoning is completed in the BEU; the workload of the two is not in fixed proportion and needs to be configured according to different advanced estimation and fault diagnosis algorithms;
5) the BEU, BCU, and cloud edge cooperative work mechanism adopted in the present solution is not only applicable to the three-level architecture battery management system shown in fig. 2, but also applicable to a two-level architecture battery management system.
In conclusion, the invention can effectively solve the problem that the current battery management system is too closed, breaks through the closed architecture of the original software and hardware system through the decoupling between the software and hardware systems, realizes the compatible application of different software function modules APP in the battery management system, can completely realize the continuous iteration upgrading of AI machine (depth) learning based on battery data driving, can locally accelerate the inference execution in real time, improves the accuracy of advanced estimation, improves the intelligent level of fault diagnosis, can be extended to other application scenes with advanced application function requirements, and can realize the intelligent upgrading through a cloud-edge architecture and a cloud-edge cooperative mechanism.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides an open battery management system of intelligence based on cloud limit is in coordination, includes battery system cloud platform, battery system edge intelligent terminal, battery cluster management unit and operating system, its characterized in that: the output end of the battery system cloud platform is connected with the input end of the battery system edge intelligent terminal, the output end of the battery system edge intelligent terminal is connected with the input end of the battery cluster management unit, and the operating system comprises a container, an edge computing SDK and a system kernel.
2. The intelligent open battery management system based on cloud edge coordination according to claim 1, characterized in that: the battery cluster management unit comprises a communication module, an acquisition module, a storage module, a control module, a protection module, a high-speed communication module, a data filtering module, an advanced estimation module and a fault diagnosis module.
3. The intelligent open battery management system based on cloud edge coordination according to claim 2, characterized in that: the advanced estimation is based on the estimation algorithm upgrading of the cloud deep learning training, and the fault diagnosis is based on the diagnosis algorithm upgrading and the ontology accelerated reasoning of the cloud deep learning training.
4. The intelligent open battery management system based on cloud edge coordination according to claim 1, characterized in that: the intelligent battery system edge terminal is connected with the battery system cloud platform through 4G/5G, the intelligent battery system edge terminal is connected with the energy storage converter through RS485 CAN/LAN, the intelligent battery system edge terminal is connected with the energy management system through LAN and monitoring, and the intelligent battery system edge terminal is connected with the battery cluster management unit through CAN to form an information battery management system with cloud and cooperation.
5. The intelligent open battery management system based on cloud edge coordination according to claim 1, characterized in that: the container comprises a plurality of APPs such as basic calculation, advanced estimation and fault diagnosis, and the system kernel comprises DI/DO, RS485, CAN and ETH.
6. The intelligent open battery management system based on cloud edge coordination according to claim 5, wherein: the operating system also comprises bottom hardware which is used for communication, acquisition, storage and control, and the flat, flexible and efficient system architecture based on software definition is realized by adopting an open architecture of the bottom hardware, a system kernel, an edge computing SDK and a container (a plurality of APPs).
7. The intelligent open battery management system based on cloud edge coordination according to claim 1, characterized in that: the collection module is used for collecting basic data of the battery cluster management unit and the battery management unit, the data filtering and cleaning module is used for preprocessing the collected data, and the high-speed communication module is used for uploading the preprocessed data to the battery system cloud platform and downloading the preprocessed data to the battery system edge intelligent terminal.
8. The intelligent open battery management system based on cloud edge coordination according to claim 7, wherein: the advanced estimation module and the fault diagnosis module are used for classifying data uploaded to a cloud platform of the battery system according to requirements of different functional modules, performing further local real-time reasoning respectively, and calculating a corresponding advanced estimation result or fault diagnosis early warning result, wherein the advanced estimation result is uploaded to a monitoring and energy management system and serves as a regulation and control parameter, the fault diagnosis early warning result is used for driving control protection to act, intelligent protection early warning of the battery system is achieved, the diagnosis result is uploaded to the monitoring and energy management system synchronously and serves as system-level control protection.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114915033A (en) * | 2022-06-15 | 2022-08-16 | 苏州云能魔方能源科技有限公司 | Large-scale energy storage power station black box system based on cloud edge cooperation |
| CN115097336A (en) * | 2022-05-30 | 2022-09-23 | 中国第一汽车股份有限公司 | Battery state of charge value estimation system, method, electronic equipment and medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115097336A (en) * | 2022-05-30 | 2022-09-23 | 中国第一汽车股份有限公司 | Battery state of charge value estimation system, method, electronic equipment and medium |
| CN114915033A (en) * | 2022-06-15 | 2022-08-16 | 苏州云能魔方能源科技有限公司 | Large-scale energy storage power station black box system based on cloud edge cooperation |
| CN114915033B (en) * | 2022-06-15 | 2023-12-15 | 苏州云能魔方能源科技有限公司 | Large-scale energy storage power station black box system based on cloud edge cooperation |
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