{"id":30250,"date":"2025-10-07T16:59:57","date_gmt":"2025-10-07T16:59:57","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=30250"},"modified":"2025-10-07T16:59:59","modified_gmt":"2025-10-07T16:59:59","slug":"how-this-innovative-battery-tech-improve-ev-battery-life-prediction","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/how-this-innovative-battery-tech-improve-ev-battery-life-prediction\/","title":{"rendered":"How This Innovative Battery Tech Improve EV Battery Life Prediction"},"content":{"rendered":"\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Engineers at UC Riverside have developed State of Mission (SOM), a new metric to improve battery life predictions in electric vehicles by considering environmental factors. This innovation promises more accurate and reliable battery management.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>Current battery management systems often leave electric vehicle drivers guessing if their vehicle&#8217;s remaining charge will cover the distance, especially under demanding conditions. Engineers at the University of California, Riverside aim to eliminate this uncertainty with their innovative diagnostic metric, State of Mission (SOM).<\/p>\n\n\n\n<p>SOM is designed to provide real-time, task-specific predictions by incorporating both battery data and environmental factors like traffic patterns, elevation changes and ambient temperature. This means instead of a simple percentage display, drivers receive actionable insights about their battery&#8217;s capability.<\/p>\n\n\n\n<p>\u201cSOM fills that gap,\u201d Mihri Ozkan, an engineering professor at UC Riverside who helped develop the system, said in a news release. \u201cIt\u2019s a mission-aware measure that combines data and physics to predict whether the battery can complete a planned task under real-world conditions.\u201d<\/p>\n\n\n\n<p>The breakthrough, <a href=\"https:\/\/www.cell.com\/iscience\/fulltext\/S2589-0042(25)01854-1\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the journal iScience, employs a hybrid approach. <\/p>\n\n\n\n<p>Traditional battery diagnostics rely heavily either on rigid physics equations, which often fail to adapt to changing scenarios, or on opaque machine learning models. <\/p>\n\n\n\n<p>SOM combines the flexibility of machine learning with the foundational principles of electrochemistry and thermodynamics.<\/p>\n\n\n\n<p>\u201cBy combining them, we get the best of both worlds: a model that learns flexibly from data but always stays grounded in physical reality,\u201d added Cengiz Ozkan, a UC Riverside engineering professor who co-led the study. \u201cThis makes the predictions not only more accurate but also more trustworthy.\u201d<\/p>\n\n\n\n<p>To validate their framework, the team utilized publicly available battery datasets from NASA and Oxford University, which included a vast range of real-world usage patterns, temperature fluctuations, current and voltage data, and long-term performance trends. <\/p>\n\n\n\n<p>The results showed significant reductions in prediction errors compared to traditional methods.<\/p>\n\n\n\n<p>Instead of a basic \u201cpercent charged\u201d estimate, SOM offers more advanced, forward-looking insights. For instance, it can inform a driver if they need to recharge midway through their journey or indicate that a drone flight is unfeasible under certain conditions.<\/p>\n\n\n\n<p>\u201cIt transforms abstract battery data into actionable decisions, improving safety, reliability and planning for vehicles, drones and any application where energy must be matched to a real-world task,\u201d Mihri Ozkan added.<\/p>\n\n\n\n<p>Despite its promise, the model&#8217;s current computational complexity exceeds the capabilities of most existing embedded battery management systems. <\/p>\n\n\n\n<p>However, the researchers remain optimistic, expecting that with further optimization, SOM could soon be integrated into various applications such as electric vehicles, unmanned aerial systems and even grid storage solutions.<\/p>\n\n\n\n<p>\u201cRight now, the main limitation is computational complexity,\u201d Mihri Ozkan said. \u201cThe framework demands more processing power than today\u2019s lightweight, embedded battery management systems typically provide.\u201d<\/p>\n\n\n\n<p>Looking forward, the team is planning field tests for SOM and hopes to expand its applicability to different battery chemistries, such as sodium-ion, solid-state or flow batteries.<\/p>\n\n\n\n<p>\u201cOur approach is designed to be generalizable,\u201d added Cengiz Ozkan. \u201cThe same hybrid methodology can deliver mission-aware predictions that improve reliability, safety and efficiency across a wide range of energy technologies from cars and drones to home battery systems and even space missions.\u201d<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source:<\/strong> <a href=\"https:\/\/news.ucr.edu\/articles\/2025\/10\/07\/smarter-battery-tech-knows-whether-your-ev-will-make-it-home\" target=\"_blank\" rel=\"noopener\" title=\"\">University of California, Riverside<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Current battery management systems often leave electric vehicle drivers guessing if their vehicle&#8217;s remaining charge will cover the distance, especially under demanding conditions. Engineers at the University of California, Riverside aim to eliminate this uncertainty with their innovative diagnostic metric, State of Mission (SOM). SOM is designed to provide real-time, task-specific predictions by incorporating both [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[17],"tags":[207],"class_list":["post-30250","post","type-post","status-publish","format-standard","hentry","category-tech","tag-uc-riverside"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"Current battery management systems often leave electric vehicle drivers guessing if their vehicle&#8217;s remaining charge will cover the distance, especially under demanding conditions. Engineers at the University of California, Riverside aim to eliminate this uncertainty with their innovative diagnostic metric, State of Mission (SOM). SOM is designed to provide real-time, task-specific predictions by incorporating both&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/30250","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=30250"}],"version-history":[{"count":14,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/30250\/revisions"}],"predecessor-version":[{"id":30311,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/30250\/revisions\/30311"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=30250"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=30250"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=30250"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}