Safety performance detection method for automobile power battery
The invention belongs to the technical field of automobile power battery detection, and discloses a safety performance detection method for an automobile power battery, which comprises the following steps: step 1, constructing an NARX neural network, and training the NARX neural network to obtain a...
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 | ZHOU YEHUA LIAO WUMING WANG HAOFENG ZHANG HANQIANG |
| description | The invention belongs to the technical field of automobile power battery detection, and discloses a safety performance detection method for an automobile power battery, which comprises the following steps: step 1, constructing an NARX neural network, and training the NARX neural network to obtain a battery voltage prediction model; step 2, respectively collecting current and voltage of the battery according to a sampling period; current values and voltage values at t-n, t-(n-1),..., t-2 and t-1 moments are used as input parameters of a battery voltage prediction model, and the battery voltage prediction model outputs predicted voltage at the t moment; wherein n is greater than or equal to 5 and is an integer, and t-n represents a t-n moment; and step 3, determining the safety level of the battery according to the predicted voltage at the t moment based on a four-score box diagram strategy.
本发明属于汽车动力电池检测技术领域，公开了一种汽车动力电池的安全性能检测方法，包括：步骤一、构建NARX神经网络，并对所述NARX神经网络进行训练，得到电池电压预测模型；步骤二、按照采样周期分别采集电池的电流和电压；以t-n，t-（n-1）， |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117471327A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117471327A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117471327A3</originalsourceid><addsrcrecordid>eNrjZHAITkxLLalUKEgtSssvyk3MS05VSEktSU0uyczPU8hNLcnIT1EAyigklpbk5-YnZeakKhTkl6cWKSQllpSkFlXyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQ3MTc0NjI3NHY2LUAAARwzHn</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Safety performance detection method for automobile power battery</title><source>esp@cenet</source><creator>ZHOU YEHUA ; LIAO WUMING ; WANG HAOFENG ; ZHANG HANQIANG</creator><creatorcontrib>ZHOU YEHUA ; LIAO WUMING ; WANG HAOFENG ; ZHANG HANQIANG</creatorcontrib><description>The invention belongs to the technical field of automobile power battery detection, and discloses a safety performance detection method for an automobile power battery, which comprises the following steps: step 1, constructing an NARX neural network, and training the NARX neural network to obtain a battery voltage prediction model; step 2, respectively collecting current and voltage of the battery according to a sampling period; current values and voltage values at t-n, t-(n-1),..., t-2 and t-1 moments are used as input parameters of a battery voltage prediction model, and the battery voltage prediction model outputs predicted voltage at the t moment; wherein n is greater than or equal to 5 and is an integer, and t-n represents a t-n moment; and step 3, determining the safety level of the battery according to the predicted voltage at the t moment based on a four-score box diagram strategy.
本发明属于汽车动力电池检测技术领域，公开了一种汽车动力电池的安全性能检测方法，包括：步骤一、构建NARX神经网络，并对所述NARX神经网络进行训练，得到电池电压预测模型；步骤二、按照采样周期分别采集电池的电流和电压；以t-n，t-（n-1），</description><language>chi ; eng</language><subject>ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL ; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; PERFORMING OPERATIONS ; PHYSICS ; TESTING ; TRANSPORTING ; VEHICLES IN GENERAL</subject><creationdate>2024</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=20240130&DB=EPODOC&CC=CN&NR=117471327A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240130&DB=EPODOC&CC=CN&NR=117471327A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHOU YEHUA</creatorcontrib><creatorcontrib>LIAO WUMING</creatorcontrib><creatorcontrib>WANG HAOFENG</creatorcontrib><creatorcontrib>ZHANG HANQIANG</creatorcontrib><title>Safety performance detection method for automobile power battery</title><description>The invention belongs to the technical field of automobile power battery detection, and discloses a safety performance detection method for an automobile power battery, which comprises the following steps: step 1, constructing an NARX neural network, and training the NARX neural network to obtain a battery voltage prediction model; step 2, respectively collecting current and voltage of the battery according to a sampling period; current values and voltage values at t-n, t-(n-1),..., t-2 and t-1 moments are used as input parameters of a battery voltage prediction model, and the battery voltage prediction model outputs predicted voltage at the t moment; wherein n is greater than or equal to 5 and is an integer, and t-n represents a t-n moment; and step 3, determining the safety level of the battery according to the predicted voltage at the t moment based on a four-score box diagram strategy.
本发明属于汽车动力电池检测技术领域，公开了一种汽车动力电池的安全性能检测方法，包括：步骤一、构建NARX神经网络，并对所述NARX神经网络进行训练，得到电池电压预测模型；步骤二、按照采样周期分别采集电池的电流和电压；以t-n，t-（n-1），</description><subject>ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES</subject><subject>ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL</subject><subject>MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES</subject><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>PERFORMING OPERATIONS</subject><subject>PHYSICS</subject><subject>TESTING</subject><subject>TRANSPORTING</subject><subject>VEHICLES IN GENERAL</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHAITkxLLalUKEgtSssvyk3MS05VSEktSU0uyczPU8hNLcnIT1EAyigklpbk5-YnZeakKhTkl6cWKSQllpSkFlXyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQ3MTc0NjI3NHY2LUAAARwzHn</recordid><startdate>20240130</startdate><enddate>20240130</enddate><creator>ZHOU YEHUA</creator><creator>LIAO WUMING</creator><creator>WANG HAOFENG</creator><creator>ZHANG HANQIANG</creator><scope>EVB</scope></search><sort><creationdate>20240130</creationdate><title>Safety performance detection method for automobile power battery</title><author>ZHOU YEHUA ; LIAO WUMING ; WANG HAOFENG ; ZHANG HANQIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117471327A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES</topic><topic>ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL</topic><topic>MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES</topic><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>PERFORMING OPERATIONS</topic><topic>PHYSICS</topic><topic>TESTING</topic><topic>TRANSPORTING</topic><topic>VEHICLES IN GENERAL</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHOU YEHUA</creatorcontrib><creatorcontrib>LIAO WUMING</creatorcontrib><creatorcontrib>WANG HAOFENG</creatorcontrib><creatorcontrib>ZHANG HANQIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHOU YEHUA</au><au>LIAO WUMING</au><au>WANG HAOFENG</au><au>ZHANG HANQIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Safety performance detection method for automobile power battery</title><date>2024-01-30</date><risdate>2024</risdate><abstract>The invention belongs to the technical field of automobile power battery detection, and discloses a safety performance detection method for an automobile power battery, which comprises the following steps: step 1, constructing an NARX neural network, and training the NARX neural network to obtain a battery voltage prediction model; step 2, respectively collecting current and voltage of the battery according to a sampling period; current values and voltage values at t-n, t-(n-1),..., t-2 and t-1 moments are used as input parameters of a battery voltage prediction model, and the battery voltage prediction model outputs predicted voltage at the t moment; wherein n is greater than or equal to 5 and is an integer, and t-n represents a t-n moment; and step 3, determining the safety level of the battery according to the predicted voltage at the t moment based on a four-score box diagram strategy.
本发明属于汽车动力电池检测技术领域，公开了一种汽车动力电池的安全性能检测方法，包括：步骤一、构建NARX神经网络，并对所述NARX神经网络进行训练，得到电池电压预测模型；步骤二、按照采样周期分别采集电池的电流和电压；以t-n，t-（n-1），</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN117471327A |
| source | esp@cenet |
| subjects | ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PERFORMING OPERATIONS PHYSICS TESTING TRANSPORTING VEHICLES IN GENERAL |
| title | Safety performance detection method for automobile power battery |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T18%3A05%3A04IST&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=ZHOU%20YEHUA&rft.date=2024-01-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117471327A%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 |