Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery.
EOL testing
UDS
detection system
human–machine interface
power battery
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
26 Jun 2023
26 Jun 2023
Historique:
received:
05
05
2023
revised:
17
06
2023
accepted:
25
06
2023
medline:
17
7
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
epublish
Résumé
This paper analyzes the electrical test items of the EOL testing line in automotive manufacturers. On this basis, this paper proposes and designs an integrated and automated testing strategy to deal with the problems of slow testing speed, high dependence on manual labor and low efficiency. This article mainly analyzes the various tests of the two main tests in battery EOL testing: Battery Management System (BMS) testing and electrical testing. We propose an innovative integrated solution based on various testing items, including the reception, transmission, and self-analysis of different UDS protocol messages, a unique automated electrical performance measurement scheme, and a requirement and logic design of an integrated software end based on Python. The experimental results of actual testing show that the implementation of the integrated strategy greatly reduces the complexity of the testing steps, improves the testing efficiency, and reduces errors caused by human operation.
Identifiants
pubmed: 37447793
pii: s23135944
doi: 10.3390/s23135944
pmc: PMC10346435
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Natural Science Foundation of China
ID : Grant No.72174172, 71774134
Organisme : "the Fundamental Research Funds for the Central Universities",Southwest Minzu University
ID : (Grant No.2021101)