{"id":517,"date":"2017-11-04T16:05:45","date_gmt":"2017-11-04T16:05:45","guid":{"rendered":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/?p=517"},"modified":"2019-03-21T15:50:31","modified_gmt":"2019-03-21T20:50:31","slug":"x-jin-a-vora-v-hoshing-t-saha-g-shaver-re-garcia-o-wasynczuk-s-varigonda-physically-based-reduced-order-capacity-loss-model-for-graphite-anodes-in-li-ion-battery-cells-journal-of-powe","status":"publish","type":"post","link":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/11\/04\/x-jin-a-vora-v-hoshing-t-saha-g-shaver-re-garcia-o-wasynczuk-s-varigonda-physically-based-reduced-order-capacity-loss-model-for-graphite-anodes-in-li-ion-battery-cells-journal-of-powe\/","title":{"rendered":"X Jin, A Vora, V Hoshing, T Saha, G Shaver, RE Garc\u00eda, O Wasynczuk, S Varigonda “Physically-based reduced-order capacity loss model for graphite anodes in Li-ion battery cells.”\u00a0Journal of Power Sources, 342:750-761, 2017."},"content":{"rendered":"

X Jin, A Vora, V Hoshing, T Saha, G Shaver, RE Garc\u00eda, O Wasynczuk, S Varigonda “Physically-based reduced-order capacity loss model for graphite anodes in Li-ion battery cells<\/a>.”\u00a0Journal of Power Sources<\/strong>, 342:750-761, 2017.<\/p>\n

Abstract<\/h3>\n
\n

Physically-based Li-ion electrochemical cell models have been shown capable of predicting cell performance and degradation, but are computationally expensive for optimization-oriented design applications. Faster empirical models have been developed from experimental data, but are not generalizable to operating conditions outside of the range established by the calibration data. In this paper, a reduced-order capacity-loss model for graphite anodes is derived based upon the salient physical loss mechanisms to improve computational efficiency without sacrificing model fidelity. This model captures the two primary degradation mechanisms that occur in the graphite anode of a typical lithium ion cell: a) capacity loss due to Solid Electrolyte Interface (SEI) layer growth, and b) capacity loss due to isolation of active material. The model is calibrated and validated for a commercial 2.3-Ah cell with a Lithium Iron Phosphate (LFP) cathode and graphite anode. One data set is used for calibration, another four experimental data sets are used for validation. The model matches experimental capacity degradation results within a 20% error. Moreover, the reported model is 2400\u00d7 faster than currently existing more complex physically-based electrochemical models that are only slightly more accurate (in some cases).<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

X Jin, A Vora, V Hoshing, T Saha, G Shaver, RE Garc\u00eda,…<\/p>\n

Continue reading “X Jin, A Vora, V Hoshing, T Saha, G Shaver, RE Garc\u00eda, O Wasynczuk, S Varigonda “Physically-based reduced-order capacity loss model for graphite anodes in Li-ion battery cells.”\u00a0Journal of Power Sources, 342:750-761, 2017.”<\/span>…<\/a><\/div>\n
Continue reading \"X Jin, A Vora, V Hoshing, T Saha, G Shaver, RE Garc\u00eda, O Wasynczuk, S Varigonda “Physically-based reduced-order capacity loss model for graphite anodes in Li-ion battery cells.”\u00a0Journal of Power Sources, 342:750-761, 2017.\"<\/span>…<\/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_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[45],"tags":[9,74,6,46,15],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/peeeSR-8l","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":858,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2020\/06\/03\/v-hoshing-a-vora-t-saha-x-jin-g-shaver-o-wasynczuk-re-garcia-s-varigonda-comparison-of-economic-viability-of-series-and-parallel-phevs-for-medium-duty-truck-and-transit-bus-applications-p\/","url_meta":{"origin":517,"position":0},"title":"V Hoshing, A Vora, T Saha, X Jin, G Shaver, O Wasynczuk, RE Garc\u00eda, S Varigonda. “Comparison of economic viability of series and parallel PHEVs for medium-duty truck and transit bus applications.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 234:2458-2472, 2020.","date":"06\/03\/2020","format":false,"excerpt":"V Hoshing, A Vora, T Saha, X Jin, G Shaver, O Wasynczuk, RE Garc\u00eda, S Varigonda. \"Comparison of economic viability of series and parallel PHEVs for medium-duty truck and transit bus applications.\" \u00a0Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.\u00a0234:2458-2472, 2020.\u00a0https:\/\/doi.org\/10.1177\/0954407020919255 Abstract This article performs\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":811,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2019\/03\/21\/a-jana-g-m-shaver-r-edwin-garcia-physical-on-the-fly-capacity-degradation-prediction-of-linimncoo2-graphite-cells-journal-of-power-sources-422-2019-185-195\/","url_meta":{"origin":517,"position":1},"title":"A. Jana, G. M. Shaver, R. Edwin Garc\u00eda “Physical, on the fly, capacity degradation prediction of LiNiMnCoO2- graphite cells,” Journal of Power Sources. 422 (2019) 185\u2013195","date":"03\/21\/2019","format":false,"excerpt":"A. Jana, G. M. Shaver, R. Edwin Garc\u00eda \"Physical, on the fly, capacity degradation prediction of LiNiMnCoO2- graphite cells,\" Journal of Power Sources. 422 (2019) 185\u2013195;\u00a0https:\/\/doi.org\/10.1016\/j.jpowsour.2019.02.073 abstract A physics-based, reduced order model was developed to describe the capacity degradation in LiNiMnCoO2- graphite cells. By starting from fundamental principles, the model\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":860,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2020\/07\/24\/v-hoshing-a-vora-t-saha-x-jin-o-kurtulus-n-vatkar-g-shaver-o-wasynczuk-re-garcia-s-varigonda-evaluating-emissions-and-sensitivity-of-economic-gains-for-series-plug-in-hybrid-electric-vehic\/","url_meta":{"origin":517,"position":2},"title":"V Hoshing, A Vora, T Saha, X Jin, O Kurtulus, N Vatkar, G Shaver, O Wasynczuk, RE Garc\u00eda, S Varigonda.” Evaluating emissions and sensitivity of economic gains for series plug-in hybrid electric vehicle powertrains for transit bus applications.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. July, 2020.\u00a0","date":"07\/24\/2020","format":false,"excerpt":"V Hoshing, A Vora, T Saha, X Jin, O Kurtulus, N Vatkar, G Shaver, O Wasynczuk, RE Garc\u00eda, S Varigonda.\" Evaluating emissions and sensitivity of economic gains for series plug-in hybrid electric vehicle powertrains for transit bus applications.\" Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile\u2026","rel":"","context":"In "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":517,"position":3},"title":"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).","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 "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":381,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/10\/31\/the-effect-of-microstructure-on-the-galvanostatic-discharge-of-graphite-anode-electrodes-in-licoo2-based-rocking-chair-rechargeable-batteries\/","url_meta":{"origin":517,"position":4},"title":"M. Smith, RE Garc\u00eda, QC Horn “The Effect of Microstructure on the Galvanostatic Discharge of Graphite Anode Electrodes in LiCoO2-Based Rocking-Chair Rechargeable Batteries.”\u00a0Journal of the Electrochemical Society. 156:A896, 2009.","date":"10\/31\/2017","format":false,"excerpt":"M. Smith, RE Garc\u00eda, QC Horn \"The Effect of Microstructure on the Galvanostatic Discharge of Graphite Anode Electrodes in LiCoO2-Based Rocking-Chair Rechargeable Batteries.\"\u00a0Journal of the Electrochemical Society. 156:A896, 2009. Abstract By starting from experimentally determined cross sections of rechargeable lithium-ion batteries, the effect of microstructure on the galvanostatic discharge of\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":939,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2022\/08\/04\/y-sun-s-mitra-ayalasomayajula-a-deva-g-lin-r-edwin-garcia-artificial-intelligence-inferred-microstructural-properties-from-voltage-capacity-curves-scientific-reports-1213421\/","url_meta":{"origin":517,"position":5},"title":"Y. Sun, S. Mitra Ayalasomayajula, A. Deva, G. Lin & R. Edwin Garc\u00eda “Artificial intelligence inferred microstructural properties from voltage\u2013capacity curves.” Scientific Reports. 12:13421, 2022.","date":"08\/04\/2022","format":false,"excerpt":"Y. Sun, S. Mitra Ayalasomayajula, A. Deva, G. Lin & R. Edwin Garc\u00eda \"Artificial intelligence inferred microstructural properties from voltage\u2013capacity curves.\" Scientific Reports. 12:13421, 2022. https:\/\/doi.org\/10.1038\/s41598-022-16942-5 Abstract The quantification of microstructural properties to optimize battery design and performance, to maintain product quality, or to track the degradation of LIBs remains\u2026","rel":"","context":"In "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\/517"}],"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=517"}],"version-history":[{"count":1,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/517\/revisions"}],"predecessor-version":[{"id":518,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/517\/revisions\/518"}],"wp:attachment":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/media?parent=517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/categories?post=517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/tags?post=517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}