{"id":3670,"date":"2022-03-16T23:58:08","date_gmt":"2022-03-16T15:58:08","guid":{"rendered":"https:\/\/ascendas-asia.com\/?page_id=3670"},"modified":"2022-05-27T10:42:59","modified_gmt":"2022-05-27T02:42:59","slug":"vitesco-technologies-applies-deep-reinforcement-learning","status":"publish","type":"page","link":"https:\/\/ascendas-asia.com\/th\/customer-stories\/vitesco-technologies-applies-deep-reinforcement-learning\/","title":{"rendered":"Vitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control"},"content":{"rendered":"<div class=\"_3Rcdf\" role=\"row\">\n<div class=\"_1ozXL\" role=\"gridcell\">\n<div id=\"comp-l0kv4vu6__item-k39s005z\" class=\"_1vNJf\">\n<div id=\"bgLayers_comp-l0kv4vu6__item-k39s005z\" class=\"_3wnIc\" data-hook=\"bgLayers\">\n<h2 class=\"_1Q9if\" data-testid=\"richTextElement\"><span class=\"wixGuard\">\u200b<\/span>Vitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control<\/h2>\n<hr \/>\n<div id=\"comp-kks03gwo\" class=\"_1Q9if\" data-testid=\"richTextElement\">\n<p class=\"font_8\"><em>&ldquo;Reinforcement Learning Toolbox considerably reduced development time. The toolbox really helped in fast prototyping and generation of reinforcement learning agents.&rdquo;<\/em><\/p>\n<p class=\"font_8\"><span class=\"wixGuard\">\u200b-<\/span>Vivek Venkobarao, Vitesco<\/p>\n<hr \/>\n<p class=\"font_8\">&nbsp;<\/p>\n<\/div>\n<div id=\"comp-kks03gwt\" class=\"VideoPlayer2054936319__root\">\n<div class=\"VideoPlayer2054936319__playerContainer\" data-player-name=\"Playable\" data-testid=\"playable\">\n<div class=\"_1M4Tt _2-pf-\" dir=\"ltr\" tabindex=\"0\" data-playable-hook=\"player-container\" data-playable-dir=\"ltr\" data-playable-max-width=\"550px\">\n<div class=\"_27gol _1y_KE\" data-playable-component=\"\">&nbsp;<\/div>\n<div class=\"_3gn0h _1j9Tl _3_a28\" data-playable-hook=\"overlay\" data-playable-component=\"\">\n<div class=\"_2TZ0L\" data-playable-hook=\"overlay-content\">&nbsp;<\/div>\n<div class=\"_2t51W\" data-playable-hook=\"overlay-play-button\">&nbsp;<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"cover-comp-kks03gwt\" class=\"PlayableCover847694237__root VideoPlayer2054936319__cover\" data-testid=\"playable-cover\"><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/TfEppI19AGI\" width=\"700\" height=\"393\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<div class=\"PlayableCover847694237__overlay\" style=\"text-align: right;\">&nbsp;<\/div>\n<div class=\"PlayableCover847694237__overlay\" style=\"text-align: left;\"><a href=\"https:\/\/www.mathworks.com\/content\/dam\/mathworks\/mathworks-dot-com\/images\/events\/matlabexpo\/in\/2020\/reinforcement-learning-a-motivation-for-a-powertrain-control-engineer.pdf?utm_source=TechSource&amp;utm_medium=webpage&amp;utm_campaign=user-stories&amp;utm_content=view%20slide\" target=\"_blank\" rel=\"noopener\"><span class=\"color_23\">View slides<\/span><\/a><\/div>\n<\/div>\n<\/div>\n<div id=\"comp-kks03gx6\" class=\"_1Q9if\" data-testid=\"richTextElement\">\n<p class=\"font_8\">&nbsp;<\/p>\n<p class=\"font_8\">Vitesco Technologies, which develops electrification technologies for all types of vehicles, has applied deep reinforcement learning for closed-loop powertrain control. Powertrain control systems must be able to handle a huge variety of environmental conditions. Global climate change and more stringent emission laws require faster development time, including accelerated prototyping.<\/p>\n<p class=\"font_8\">Vitesco engineers used Simulink&reg; to create a detailed model of the plant. Reinforcement Learning Toolbox&trade; enabled to quickly prototype, generate, and optimize reinforcement learning agents, considerably reducing development time.<\/p>\n<p class=\"font_8\">&nbsp;<\/p>\n<\/div>\n<div id=\"comp-kks03gxd\" class=\"_1Q9if\" data-testid=\"richTextElement\">\n<h3 class=\"font_3\">Key Outcomes<\/h3>\n<ul>\n<li class=\"font_8\">Fast prototyping of reinforcement learning agents and reduced development time<\/li>\n<li class=\"font_8\"><span class=\"wixGuard\">\u200b<\/span>Use of Simulink for state-of-the-art plant modeling<\/li>\n<li class=\"font_8\"><span class=\"wixGuard\">\u200b<\/span>Quick start enabled through use of documentation and examples for reinforcement learning algorithms<\/li>\n<li class=\"font_8\">Fast resolution to technical issues with dedicated calls with MathWorks experts<\/li>\n<\/ul>\n<p class=\"font_8\"><span class=\"wixGuard\">\u200b<\/span><\/p>\n<\/div>\n<div id=\"comp-kks03gxl\" class=\"_1Q9if\" data-testid=\"richTextElement\">\n<h3 class=\"font_3\">Products Used<\/h3>\n<ul>\n<li class=\"font_8\">Simulink<\/li>\n<li class=\"font_8\">Deep Learning Toolbox<\/li>\n<li class=\"font_8\">Reinforcement Learning Toolbox<\/li>\n<\/ul>\n<p class=\"font_8\"><span class=\"color_15\"><span class=\"wixGuard\">\u200b<\/span><\/span><a href=\"https:\/\/event.techsource-asia.com\/ebook-reinforcement-learning-with-matlab\" target=\"_blank\" rel=\"noopener\">[ebook] Explore reinforcement learning with MATLAB and Simulink<\/a><\/p>\n<p class=\"font_8\">&nbsp;<\/p>\n<p><a class=\"maxbutton-1 maxbutton maxbutton-get-quote\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/ascendas-asia.com\/th\/contact-us\/\"><span class='mb-text'>Get Quote<\/span><\/a>  &emsp;  &emsp; <a class=\"maxbutton-3 maxbutton maxbutton-download-a-free-trial\" target=\"_blank\" rel=\"noopener\" href=\"https:\/\/ascendas-asia.com\/th\/free-matlab-trial\/\"><span class='mb-text'>Download a FREE Trial<\/span><\/a> <\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u200bVitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control &ldquo;Reinforcement Learning Toolbox considerably reduced development time. The toolbox really helped in fast prototyping and generation of reinforcement learning agents.&rdquo; \u200b-Vivek Venkobarao, Vitesco &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; View slides &nbsp; Vitesco Technologies, which develops electrification technologies for all types of vehicles, has applied deep reinforcement [&hellip;]<\/p>","protected":false},"author":4,"featured_media":0,"parent":3677,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-3670","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.1 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Vitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control - TechSource Systems &amp; Ascendas Systems Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ascendas-asia.com\/th\/customer-stories\/vitesco-technologies-applies-deep-reinforcement-learning\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Vitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control\" \/>\n<meta property=\"og:description\" content=\"\u200bVitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control &ldquo;Reinforcement Learning Toolbox considerably reduced development time. 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