{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:23:59Z","timestamp":1787243039329,"version":"build-2736575974"},"reference-count":27,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T00:00:00Z","timestamp":1725840000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004704","name":"National Research Council of Thailand (NRCT)","doi-asserted-by":"publisher","award":["N42A671047"],"award-info":[{"award-number":["N42A671047"]}],"id":[{"id":"10.13039\/501100004704","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chiang Mai University (CMU)","award":["N42A671047"],"award-info":[{"award-number":["N42A671047"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Electric vehicles (EVs) are alternatives to traditional combustion engine-powered vehicles. This work focuses on a thermal management system for battery EVs using liquid cooling and a machine learning (ML) model to predict their thermal-related health. Real-world data of EV operation, battery and cooling conditions were collected. Key influencing factors on the thermal-related health of batteries were identified. The ML model\u2019s effectiveness was evaluated against experimental test data. The ML model proved effective in predicting and analyzing battery thermal health, suggesting its potential for use with the thermal management system.<\/jats:p>","DOI":"10.3390\/info15090553","type":"journal-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T05:59:08Z","timestamp":1725861548000},"page":"553","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Machine Learning Prediction of a Battery\u2019s Thermal-Related Health Factor in a Battery Electric Vehicle Using Real-World Driving Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Natthida","family":"Sukkam","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tossapon","family":"Katongtung","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2946-8921","authenticated-orcid":false,"given":"Pana","family":"Suttakul","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1102-9242","authenticated-orcid":false,"given":"Yuttana","family":"Mona","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Witsarut","family":"Achariyaviriya","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Korrakot Yaibuathet","family":"Tippayawong","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nakorn","family":"Tippayawong","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.tranpol.2023.10.026","article-title":"Quantification of CO2 emissions in transportation: An empirical analysis by modal shift from road to waterway transport in Zhejiang, China","volume":"145","author":"Jiang","year":"2024","journal-title":"Transp. 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