Energy storage battery multi-risk type early warning method based on cloud-side cooperation
The invention relates to an energy storage battery multi-risk type early warning method based on cloud edge cooperation. The method comprises the following steps: step 1, collecting real-time operation temperature, current, voltage and gas signals of a battery at an edge end; 2, performing cleaning,...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | REN SHIPENG LI XUANPENG GUAN YUXUAN LIU YANTING WANG YUETONG |
description | The invention relates to an energy storage battery multi-risk type early warning method based on cloud edge cooperation. The method comprises the following steps: step 1, collecting real-time operation temperature, current, voltage and gas signals of a battery at an edge end; 2, performing cleaning, synchronization and format conversion preprocessing on the data, and uploading the processed data to a cloud; 3, integrating a battery state evolution model in the cloud, and performing battery state updating and parameter estimation by using the model and the uploaded data; 4, performing real-time risk assessment by the edge end to realize short-time early warning; according to the scheme, on the basis that the cloud end obtains parameter estimation in different battery states, the state parameters are transmitted to the edge end, and long-time and medium-time early warning is carried out. And according to the real-time data of the energy storage battery and the state evolution database, precise prediction of the |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116644291A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116644291A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116644291A3</originalsourceid><addsrcrecordid>eNqNyrEOgjAQBmAWB6O-w_kADCghcTQE4-Tk5kAq_cXG0muuR0zfXgcfwOlbvmVx6wJkzJSUxYygu1GFZJpmr64Ul16kOYJgxGd6GwkujDRBn2y_OcESBxo8z7ZMzoIG5ggx6jisi8XD-ITNz1WxPXXX9lwico8UzYAA7dtLVTVNXe8O1XH_z_kAn107zw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Energy storage battery multi-risk type early warning method based on cloud-side cooperation</title><source>esp@cenet</source><creator>REN SHIPENG ; LI XUANPENG ; GUAN YUXUAN ; LIU YANTING ; WANG YUETONG</creator><creatorcontrib>REN SHIPENG ; LI XUANPENG ; GUAN YUXUAN ; LIU YANTING ; WANG YUETONG</creatorcontrib><description>The invention relates to an energy storage battery multi-risk type early warning method based on cloud edge cooperation. The method comprises the following steps: step 1, collecting real-time operation temperature, current, voltage and gas signals of a battery at an edge end; 2, performing cleaning, synchronization and format conversion preprocessing on the data, and uploading the processed data to a cloud; 3, integrating a battery state evolution model in the cloud, and performing battery state updating and parameter estimation by using the model and the uploaded data; 4, performing real-time risk assessment by the edge end to realize short-time early warning; according to the scheme, on the basis that the cloud end obtains parameter estimation in different battery states, the state parameters are transmitted to the edge end, and long-time and medium-time early warning is carried out. And according to the real-time data of the energy storage battery and the state evolution database, precise prediction of the</description><language>chi ; eng</language><subject>BASIC ELECTRIC ELEMENTS ; CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; PHYSICS ; PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY ; TESTING</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230825&DB=EPODOC&CC=CN&NR=116644291A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230825&DB=EPODOC&CC=CN&NR=116644291A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>REN SHIPENG</creatorcontrib><creatorcontrib>LI XUANPENG</creatorcontrib><creatorcontrib>GUAN YUXUAN</creatorcontrib><creatorcontrib>LIU YANTING</creatorcontrib><creatorcontrib>WANG YUETONG</creatorcontrib><title>Energy storage battery multi-risk type early warning method based on cloud-side cooperation</title><description>The invention relates to an energy storage battery multi-risk type early warning method based on cloud edge cooperation. The method comprises the following steps: step 1, collecting real-time operation temperature, current, voltage and gas signals of a battery at an edge end; 2, performing cleaning, synchronization and format conversion preprocessing on the data, and uploading the processed data to a cloud; 3, integrating a battery state evolution model in the cloud, and performing battery state updating and parameter estimation by using the model and the uploaded data; 4, performing real-time risk assessment by the edge end to realize short-time early warning; according to the scheme, on the basis that the cloud end obtains parameter estimation in different battery states, the state parameters are transmitted to the edge end, and long-time and medium-time early warning is carried out. And according to the real-time data of the energy storage battery and the state evolution database, precise prediction of the</description><subject>BASIC ELECTRIC ELEMENTS</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>PHYSICS</subject><subject>PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEOgjAQBmAWB6O-w_kADCghcTQE4-Tk5kAq_cXG0muuR0zfXgcfwOlbvmVx6wJkzJSUxYygu1GFZJpmr64Ul16kOYJgxGd6GwkujDRBn2y_OcESBxo8z7ZMzoIG5ggx6jisi8XD-ITNz1WxPXXX9lwico8UzYAA7dtLVTVNXe8O1XH_z_kAn107zw</recordid><startdate>20230825</startdate><enddate>20230825</enddate><creator>REN SHIPENG</creator><creator>LI XUANPENG</creator><creator>GUAN YUXUAN</creator><creator>LIU YANTING</creator><creator>WANG YUETONG</creator><scope>EVB</scope></search><sort><creationdate>20230825</creationdate><title>Energy storage battery multi-risk type early warning method based on cloud-side cooperation</title><author>REN SHIPENG ; LI XUANPENG ; GUAN YUXUAN ; LIU YANTING ; WANG YUETONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116644291A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>BASIC ELECTRIC ELEMENTS</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>PHYSICS</topic><topic>PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>REN SHIPENG</creatorcontrib><creatorcontrib>LI XUANPENG</creatorcontrib><creatorcontrib>GUAN YUXUAN</creatorcontrib><creatorcontrib>LIU YANTING</creatorcontrib><creatorcontrib>WANG YUETONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>REN SHIPENG</au><au>LI XUANPENG</au><au>GUAN YUXUAN</au><au>LIU YANTING</au><au>WANG YUETONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Energy storage battery multi-risk type early warning method based on cloud-side cooperation</title><date>2023-08-25</date><risdate>2023</risdate><abstract>The invention relates to an energy storage battery multi-risk type early warning method based on cloud edge cooperation. The method comprises the following steps: step 1, collecting real-time operation temperature, current, voltage and gas signals of a battery at an edge end; 2, performing cleaning, synchronization and format conversion preprocessing on the data, and uploading the processed data to a cloud; 3, integrating a battery state evolution model in the cloud, and performing battery state updating and parameter estimation by using the model and the uploaded data; 4, performing real-time risk assessment by the edge end to realize short-time early warning; according to the scheme, on the basis that the cloud end obtains parameter estimation in different battery states, the state parameters are transmitted to the edge end, and long-time and medium-time early warning is carried out. And according to the real-time data of the energy storage battery and the state evolution database, precise prediction of the</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN116644291A |
source | esp@cenet |
subjects | BASIC ELECTRIC ELEMENTS CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY TESTING |
title | Energy storage battery multi-risk type early warning method based on cloud-side cooperation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T23%3A41%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=REN%20SHIPENG&rft.date=2023-08-25&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116644291A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |