{"id":285516,"date":"2024-03-04T07:06:24","date_gmt":"2024-03-04T07:06:24","guid":{"rendered":"https:\/\/www.evearly.news\/en\/combining-machine-learning-and-electrochemical-models\/"},"modified":"2024-03-04T07:06:24","modified_gmt":"2024-03-04T07:06:24","slug":"combining-machine-learning-and-electrochemical-models","status":"publish","type":"post","link":"https:\/\/www.evearly.news\/en\/combining-machine-learning-and-electrochemical-models\/","title":{"rendered":"Combining machine learning and electrochemical models"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"681\" src=\"https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2024\/03\/combining-machine-learning-and-electrochemical-models.jpg\" alt=\"\" class=\"wp-image-13089\" srcset=\"https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2024\/03\/combining-machine-learning-and-electrochemical-models.jpg 1024w, https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2024\/03\/combining-machine-learning-and-electrochemical-models-1.jpg 300w, https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2024\/03\/combining-machine-learning-and-electrochemical-models-2.jpg 768w, https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2024\/03\/combining-machine-learning-and-electrochemical-models-3.jpg 1536w, https:\/\/www.emobility-engineering.com\/content\/uploads\/2024\/03\/AE-Eatron-min-2048x1363.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"  alt='E-Mobility Engineering'><br \/>Eatron Technologies and About:Energy are developing a decision-engine for battery management systems (BMS) that combines machine learning and electrochemical models, writes Nick Flaherty.<br \/>\nThe aiMAGINE project aims to use machine learning frameworks in the BMS to extend the life of a battery pack in electric vehicles and scooters. <a href=\"https:\/\/www.emobility-engineering.com\/ai-battery-management-systems\/\" target=\"blank\" rel=\"noopener\">Read more&#8230;<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/www.evearly.news\/en\/combining-machine-learning-and-electrochemical-models\/\"><\/a><\/p>\n","protected":false},"author":22,"featured_media":285517,"comment_status":"closed","ping_status":"open","sticky":false,"template":"Default","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-285516","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-e-mobility-engineering"],"_links":{"self":[{"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/posts\/285516","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/comments?post=285516"}],"version-history":[{"count":0,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/posts\/285516\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/media\/285517"}],"wp:attachment":[{"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/media?parent=285516"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/categories?post=285516"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/tags?post=285516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}