Comprehensive reliability detection method for pure electric vehicle
The invention relates to the field of automobiles, in particular to a comprehensive reliability detection method for a pure electric automobile. Comprising a basic structure reliability detection part, a power and transmission system reliability detection part and environment simulation working cond...
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| creator | CHENG XIAOQIANG ZHONG GENDING LONG XU DUAN LONGYANG GONG CHUNHUI |
| description | The invention relates to the field of automobiles, in particular to a comprehensive reliability detection method for a pure electric automobile. Comprising a basic structure reliability detection part, a power and transmission system reliability detection part and environment simulation working condition detection. According to the method, based on user vehicle-mounted T-box equipment, through a quantitative analysis mode, it is clear that an electric vehicle structure reliability detection part borrows a structure reliability part of a same-platform fuel oil vehicle reliability specification; according to the method, a K-means clustering analysis technology is utilized to realize automatic classification of user driving data, and driving habit information of a typical scene of a user is accurately obtained by analyzing clustering center data; key data are extracted, strong association between test working condition design and user driving habits is achieved, user use requirements and standard design torque d |
| format | Patent |
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Comprising a basic structure reliability detection part, a power and transmission system reliability detection part and environment simulation working condition detection. According to the method, based on user vehicle-mounted T-box equipment, through a quantitative analysis mode, it is clear that an electric vehicle structure reliability detection part borrows a structure reliability part of a same-platform fuel oil vehicle reliability specification; according to the method, a K-means clustering analysis technology is utilized to realize automatic classification of user driving data, and driving habit information of a typical scene of a user is accurately obtained by analyzing clustering center data; key data are extracted, strong association between test working condition design and user driving habits is achieved, user use requirements and standard design torque d</description><language>chi ; eng</language><subject>ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE ; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR ; PHYSICS ; TARIFF METERING APPARATUS ; TESTING ; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES ; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</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=20240503&DB=EPODOC&CC=CN&NR=117969117A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240503&DB=EPODOC&CC=CN&NR=117969117A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHENG XIAOQIANG</creatorcontrib><creatorcontrib>ZHONG GENDING</creatorcontrib><creatorcontrib>LONG XU</creatorcontrib><creatorcontrib>DUAN LONGYANG</creatorcontrib><creatorcontrib>GONG CHUNHUI</creatorcontrib><title>Comprehensive reliability detection method for pure electric vehicle</title><description>The invention relates to the field of automobiles, in particular to a comprehensive reliability detection method for a pure electric automobile. 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| subjects | ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS TARIFF METERING APPARATUS TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR |
| title | Comprehensive reliability detection method for pure electric vehicle |
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