Batteries are essential in battery electric vehicles (BEVs), but estimating their lifetime is challenging due to factors like cell temperatures and usage patterns. These variables, especially the unknown cell temperatures, complicate predictions. This study proposes a methodology to estimate battery lifetime using a comprehensive powertrain, electrical, and thermal model, calibrated with onboard data. A case study on Italian routes shows the method’s accuracy, with proper thermal modeling reducing lifetime estimation errors by 40-50%. The study underscores the importance of active thermal management for battery health.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1302,1300],"targets":[1304,1314,1317],"pubblicazioni_tipologie":[773],"class_list":["post-203448","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-batteries","tag-industrial-sector","targets-industrial-world","targets-press-media-en","targets-research","pubblicazioni_tipologie-isi-article-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188413,"post_author":"93","post_date":"2024-06-13 15:10:32","post_date_gmt":"2024-06-13 13:10:32","post_content":"","post_title":"Sustainable Mobility and Interaction with the Energy System","post_excerpt":"The goal of this project is to research and find technological solutions that will facilitate a faster and more effective transition of the transportation system towards greater sustainability, according to very ambitious national and international targets.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"sustainable-mobility-and-interaction-with-the-energy-system","to_ping":"","pinged":"","post_modified":"2024-07-03 10:59:33","post_modified_gmt":"2024-07-03 08:59:33","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/sustainable-mobility-and-interaction-with-the-energy-system\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
Batteries are critical components of battery electric vehicles (BEVs) and yet their expected lifetime is hard to estimate. Various determinants play a significant role, among which cell temperatures and usage profile are notably the most predominant, but their impact is complex to estimate.<\/p>\n
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The variability of the vehicle usage patterns makes it difficult to estimate typical stresses on the battery, and cell temperatures are often unknown conversely to the ambient temperature, that is usually used in degradation models. For these reasons, in this study we present a methodology for estimating the expected battery lifetime in electric vehicles (EVs) through a comprehensive powertrain, electrical and thermal model of the vehicle and its battery, including a battery degradation model.<\/p>\n
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Supported by experimental measures, the whole model, including the battery cooling system, is calibrated with data obtained from the onboard Controller Area Network (CAN) of a BEV with average error below1\u25e6C. The case study to represent typical traffic conditions on Italian routes highlights that the approach is robust, expected battery lifetimes are suitable for typical vehicle usage, and that appropriate battery thermal modelling can reduce errors in the lifetime assessment of beyond 40-50%.<\/p>\n
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The study emphasizes the importance of active thermal management in preserving battery health, and the methodology provides a foundation for further multi-disciplinary modeling of EV battery aging.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/ieeexplore.ieee.org\/document\/10600708"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2024-07-17","autori":"M. Ceraolo, D. Fioriti, G. Lutzemberger, F.G. Quilici, C. Scarpelli (Universit\u00e0 di Pisa), F. Bianchi (RSE S.p.A.)","destinazione":"IEEE Access, Vol. 12, 17 Luglio 2024","rif_rse":"24008063"},"satellite_post_url":""},"yoast_head":"\n