{"id":318270,"date":"2025-03-27T07:05:07","date_gmt":"2025-03-27T07:05:07","guid":{"rendered":"https:\/\/www.evearly.news\/en\/machine-learning-slices-powertrain-development-phase\/"},"modified":"2025-03-27T07:05:07","modified_gmt":"2025-03-27T07:05:07","slug":"machine-learning-slices-powertrain-development-phase","status":"publish","type":"post","link":"https:\/\/www.evearly.news\/en\/machine-learning-slices-powertrain-development-phase\/","title":{"rendered":"Machine learning slices powertrain development phase"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"870\" src=\"https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2025\/03\/machine-learning-slices-powertrain-development-phase.jpg\" alt=\"\" class=\"wp-image-15273\" srcset=\"https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2025\/03\/machine-learning-slices-powertrain-development-phase.jpg 1024w, https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2025\/03\/machine-learning-slices-powertrain-development-phase-1.jpg 300w, https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2025\/03\/machine-learning-slices-powertrain-development-phase-2.jpg 768w, https:\/\/www.evearly.news\/en\/wp-content\/uploads\/sites\/7\/2025\/03\/machine-learning-slices-powertrain-development-phase-3.jpg 1536w, https:\/\/www.emobility-engineering.com\/content\/uploads\/2025\/03\/Grid-Image-1-2048x1740.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"  alt='E-Mobility Engineering'><br \/>Researchers at Graz University of Technology (TU Graz) have used machine learning to shorten the development phase of battery EV powertrains by several months, writes Nick Flaherty.<br \/>\nThe 10-year Optimisation of Electric Drives (OPED) project combines simulation models of components with evolutionary optimisation algorithms, cutting development time to one day. <a href=https:\/\/www.emobility-engineering.com\/machine-learning-slices-powertrain-development\/ target=blank>Read more&#8230;<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/www.evearly.news\/en\/machine-learning-slices-powertrain-development-phase\/\"><\/a><\/p>\n","protected":false},"author":22,"featured_media":318271,"comment_status":"closed","ping_status":"open","sticky":false,"template":"Default","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-318270","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\/318270","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=318270"}],"version-history":[{"count":0,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/posts\/318270\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/media\/318271"}],"wp:attachment":[{"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/media?parent=318270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/categories?post=318270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.evearly.news\/en\/wp-json\/wp\/v2\/tags?post=318270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}