{"id":974,"date":"2026-07-31T19:14:50","date_gmt":"2026-08-01T00:14:50","guid":{"rendered":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/?p=974"},"modified":"2026-07-31T19:14:53","modified_gmt":"2026-08-01T00:14:53","slug":"casey-m-jones-meghana-sudarshan-r-edwin-garcia-vikas-tomar-direct-measurement-of-internal-temperatures-of-commercially-available-18650-lithium-ion-batteries-scientific-reports-131-14421-20","status":"publish","type":"post","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2026\/07\/31\/casey-m-jones-meghana-sudarshan-r-edwin-garcia-vikas-tomar-direct-measurement-of-internal-temperatures-of-commercially-available-18650-lithium-ion-batteries-scientific-reports-131-14421-20\/","title":{"rendered":"Casey M Jones, Meghana Sudarshan, R Edwin Garc\u00eda, Vikas Tomar &#8220;Direct measurement of internal temperatures of commercially-available 18650 lithium-ion batteries.&#8221; Scientific Reports 13(1): 14421, 2023."},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Casey M Jones, Meghana Sudarshan, R Edwin Garc\u00eda, Vikas Tomar &#8220;<em>Direct measurement of internal temperatures of commercially-available 18650 lithium-ion batteries.<\/em>&#8221; <strong>Scientific Reports<\/strong> 13(1): 14421, 2023. <a href=\"https:\/\/doi.org\/10.1038\/s41598-023-41718-w\">https:\/\/doi.org\/10.1038\/s41598-023-41718-w<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Direct access to internal temperature readings in lithium-ion batteries provides the opportunity to infer physical information to study the effects of increased heating, degradation, and thermal runaway. In this context, a method to insert temperature sensors into commercial 18650 cells to determine the short- and long-term effects through characterization testing is developed. Results show that sensor insertion only causes a decrease in capacity of 0.5\u20132.3%, and an increase in DC resistance of approximately 15 m\u03a9. The temperatures of the modified cells are approximately 0.5 \u00b0C higher than the control cells, the difference between the internal and external temperature readings of the modified cells is approximately 0.4 \u00b0C, and the modified cells exhibit the same temperature behavior and trend during cycling as the control cells. The cells are able to operate and collect data for 100\u2013150 cycles before their capacities fade and resistances increase beyond what is observed in the control cells. The results of the testing show that cells modified with internal temperature sensors provide useful internal temperature data for cells that have experienced little or no cyclic aging.<\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"post-excerpt\" class=\"post-excerpt\">Casey M Jones, Meghana Sudarshan, R Edwin Garc\u00eda, Vikas Tomar &#8220;Direct measurement&hellip;<\/p>\n<div class=\"link-more\"><a href=\"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2026\/07\/31\/casey-m-jones-meghana-sudarshan-r-edwin-garcia-vikas-tomar-direct-measurement-of-internal-temperatures-of-commercially-available-18650-lithium-ion-batteries-scientific-reports-131-14421-20\/\">Continue reading<span class=\"screen-reader-text\"> &#8220;Casey M Jones, Meghana Sudarshan, R Edwin Garc\u00eda, Vikas Tomar &#8220;Direct measurement of internal temperatures of commercially-available 18650 lithium-ion batteries.&#8221; Scientific Reports 13(1): 14421, 2023.&#8221;<\/span>&hellip;<\/a><\/div>\n<div class=\"link-more\"><a href=\"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2026\/07\/31\/casey-m-jones-meghana-sudarshan-r-edwin-garcia-vikas-tomar-direct-measurement-of-internal-temperatures-of-commercially-available-18650-lithium-ion-batteries-scientific-reports-131-14421-20\/\">Continue reading<span class=\"screen-reader-text\"> \"Casey M Jones, Meghana Sudarshan, R Edwin Garc\u00eda, Vikas Tomar &#8220;Direct measurement of internal temperatures of commercially-available 18650 lithium-ion batteries.&#8221; Scientific Reports 13(1): 14421, 2023.\"<\/span>&hellip;<\/a><\/div>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_seo_schema_type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[45],"tags":[9],"class_list":["post-974","post","type-post","status-publish","format-standard","hentry","category-papers","tag-batteries","entry"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/peeeSR-fI","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":980,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2026\/07\/31\/meghana-sudarshan-alexey-serov-casey-jones-surya-mitra-ayalasomayajula-r-edwin-garcia-vikas-tomar-data-driven-autoencoder-neural-network-for-onboard-bms-lithium-ion-battery-degradation-predicti\/","url_meta":{"origin":974,"position":0},"title":"Meghana Sudarshan, Alexey Serov, Casey Jones, Surya Mitra Ayalasomayajula, R Edwin Garc\u00eda, Vikas Tomar &#8220;Data-driven autoencoder neural network for onboard BMS Lithium-ion battery degradation prediction.&#8221; Journal of Energy Storage. 82:110575, 2024.","author":"redwing","date":"07\/31\/2026","format":false,"excerpt":"Meghana Sudarshan, Alexey Serov, Casey Jones, Surya Mitra Ayalasomayajula, R Edwin Garc\u00eda, Vikas Tomar \"Data-driven autoencoder neural network for onboard BMS Lithium-ion battery degradation prediction.\" Journal of Energy Storage. 82:110575, 2024. https:\/\/doi.org\/10.1016\/j.est.2024.110575 Abstract An\u00a0autoencoder\u00a0based\u00a0neural network architecture, CD-Net, is proposed to predict Lithium-ion\u00a0battery\u00a0capacity degradation as a function of operation time as\u2026","rel":"","context":"In &quot;Papers&quot;","block_context":{"text":"Papers","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/category\/papers\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":948,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2022\/08\/17\/a-jana-s-mitra-s-das-w-c-chueh-m-z-bazant-r-edwin-garcia-physics-based-reduced-order-degradation-model-of-lithium-ion-batteries-journal-of-power-sources-545231900-2022\/","url_meta":{"origin":974,"position":1},"title":"A. Jana, S. Mitra, S. Das, W.C. Chueh, M.Z. Bazant, R. Edwin Garc\u00eda &#8220;Physics-based, reduced order degradation model of lithium-ion batteries.&#8221; Journal of Power Sources. 545:231900, (2022).","author":"redwing","date":"08\/17\/2022","format":false,"excerpt":"A. Jana, S. Mitra, S. Das, W.C. Chueh, M.Z. Bazant, R.Edwin Garc\u00eda \"Physics-based, reduced order degradation model of lithium-ion batteries.\" Journal of Power Sources. 545:231900, (2022). https:\/\/doi.org\/10.1016\/j.jpowsour.2022.231900 Abstract A physics-based, reduced order framework is developed to calculate the charge capacity loss contributions from spatially homogeneous and heterogeneous degradation mechanisms, chemomechanical\u2026","rel":"","context":"In &quot;Papers&quot;","block_context":{"text":"Papers","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/category\/papers\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":978,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2026\/07\/31\/alfredo-sanjuan-a-surya-mitra-r-edwin-garcia-sei-coated-carbon-particles-electrochemomechanical-fracture-mechanisms-journal-of-the-electrochemical-society-1712-020529-2024\/","url_meta":{"origin":974,"position":2},"title":"Alfredo Sanjuan, A Surya Mitra, R Edwin Garc\u00eda &#8220;SEI-coated carbon particles: electrochemomechanical fracture mechanisms.&#8221; Journal of The Electrochemical Society. 171(2): 020529, 2024.","author":"redwing","date":"07\/31\/2026","format":false,"excerpt":"Alfredo Sanjuan, A Surya Mitra, R Edwin Garc\u00eda \"SEI-coated carbon particles: electrochemomechanical fracture mechanisms.\" Journal of The Electrochemical Society. 171(2): 020529, 2024.https:\/\/doi.org\/10.1149\/1945-7111\/ad1d92 Abstract By starting from fundamental physical principles, a generalized theoretical framework was developed to engineer the intercalation-induced mechanical degradation in SEI-coated carbon particles from the surrounding electrolyte in\u2026","rel":"","context":"In &quot;Papers&quot;","block_context":{"text":"Papers","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/category\/papers\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":334,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/10\/31\/microstructural-modeling-and-design-of-rechargeable-lithium-ion-batteries\/","url_meta":{"origin":974,"position":3},"title":"RE Garc\u00eda, Y-M Chiang, W C. Carter, P Limthongkul, CM Bishop &#8220;Microstructural modeling and design of rechargeable lithium-ion batteries&#8221;\u00a0Journal of the Electrochemical Society, 152:A255, 2005.","author":"redwing","date":"10\/31\/2017","format":false,"excerpt":"RE Garc\u00eda, Y-M Chiang, W C. Carter, P Limthongkul, CM Bishop \"Microstructural modeling and design of rechargeable lithium-ion batteries\"\u00a0Journal of the Electrochemical Society, 152:A255, 2005. ABSTRACT The properties of rechargeable lithium-ion batteries are determined by the electrochemical and kinetic properties of their constituent materials as well as by their underlying\u2026","rel":"","context":"In &quot;Papers&quot;","block_context":{"text":"Papers","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/category\/papers\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":391,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/10\/31\/nanoscale-mapping-of-ion-diffusion-in-a-lithium-ion-battery-cathode\/","url_meta":{"origin":974,"position":4},"title":"N Balke, S Jesse, AN Morozovska, E Eliseev, DW Chung, Y Kim, L Adamczyk, RE Garc\u00eda, N Dudney, SV Kalinin &#8220;Nanoscale mapping of ion diffusion in a lithium-ion battery cathode.&#8221;\u00a0Nature Nanotechnology. 5(10):749-754, 2010.","author":"redwing","date":"10\/31\/2017","format":false,"excerpt":"N Balke, S Jesse, AN Morozovska, E Eliseev, DW Chung, Y Kim, L Adamczyk, RE Garc\u00eda, N Dudney, SV Kalinin \"Nanoscale mapping of ion diffusion in a lithium-ion battery cathode.\"\u00a0Nature Nanotechnology. 5(10):749-754, 2010. Abstract The movement of lithium ions into and out of electrodes is central to the operation of\u2026","rel":"","context":"In &quot;Papers&quot;","block_context":{"text":"Papers","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/category\/papers\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":494,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/11\/04\/m-ebner-d%e2%80%90w-chung-re-garcia-v-wood-tortuosity-anisotropy-in-lithium%e2%80%90ion-battery-electrodes-advanced-energy-materials-451301278-2014\/","url_meta":{"origin":974,"position":5},"title":"M Ebner, D\u2010W Chung, RE Garc\u00eda, V Wood &#8220;Tortuosity Anisotropy in Lithium\u2010Ion Battery Electrodes.&#8221;\u00a0Advanced Energy Materials, 4(5):1301278, 2014.","author":"redwing","date":"11\/04\/2017","format":false,"excerpt":"M Ebner, D\u2010W Chung, RE Garc\u00eda, V Wood \"Tortuosity Anisotropy in Lithium\u2010Ion Battery Electrodes.\"\u00a0Advanced Energy Materials, 4(5):1301278, 2014. Abstract A systematic experimental study of lithium-ion battery porous electrode microstructures using synchrotron X-ray tomographic microscopy finds particle shape and fabrication-induced alignment to cause tortuosity anisotropy, which can impact battery performance. Tortuosity\u2026","rel":"","context":"In &quot;Papers&quot;","block_context":{"text":"Papers","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/category\/papers\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/974","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/comments?post=974"}],"version-history":[{"count":1,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/974\/revisions"}],"predecessor-version":[{"id":975,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/974\/revisions\/975"}],"wp:attachment":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/media?parent=974"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/categories?post=974"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/tags?post=974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}