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Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery

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 art...

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Detalles Bibliográficos
Autores principales: Wang, Huazhang, Qin, Hang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346435/
https://www.ncbi.nlm.nih.gov/pubmed/37447793
http://dx.doi.org/10.3390/s23135944
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author Wang, Huazhang
Qin, Hang
author_facet Wang, Huazhang
Qin, Hang
author_sort Wang, Huazhang
collection PubMed
description 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.
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spelling pubmed-103464352023-07-15 Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery Wang, Huazhang Qin, Hang Sensors (Basel) Article 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. MDPI 2023-06-26 /pmc/articles/PMC10346435/ /pubmed/37447793 http://dx.doi.org/10.3390/s23135944 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Huazhang
Qin, Hang
Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery
title Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery
title_full Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery
title_fullStr Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery
title_full_unstemmed Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery
title_short Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery
title_sort study on the integration strategy of online eol testing of pure electric vehicle power battery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346435/
https://www.ncbi.nlm.nih.gov/pubmed/37447793
http://dx.doi.org/10.3390/s23135944
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