{"id":811,"date":"2019-03-21T15:49:08","date_gmt":"2019-03-21T20:49:08","guid":{"rendered":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/?p=811"},"modified":"2019-03-21T15:51:43","modified_gmt":"2019-03-21T20:51:43","slug":"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","status":"publish","type":"post","link":"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\/","title":{"rendered":"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"},"content":{"rendered":"

A. Jana, G. M. Shaver, R. Edwin Garc\u00eda “Physical, on the fly, capacity degradation prediction of LiNiMnCoO2- graphite cells<\/em>,” Journal of Power Sources.<\/strong> 422 (2019) 185\u2013195;\u00a0https:\/\/doi.org\/10.1016\/j.jpowsour.2019.02.073<\/a><\/p>\n

abstract<\/h3>\n
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A physics-based, reduced order model was developed to describe the capacity degradation in LiNiMnCoO2- graphite cells. By starting from fundamental principles, the model captures the effects of four degradation mechanisms: (i) SEI growth on the anode, (ii) electrolyte oxidation on the cathode, (iii) anode active material loss, and (iv) cathode active material loss, the last two due to chemomechanical fracture. The model is com- putationally efficient (\u223c1 ms\/cycle) and enables physical, real-time, capacity loss calculations for automotive applications. Results demonstrate that under storage conditions, SEI growth and electrolyte oxidation are the major degradation mechanisms, in agreement with experiments. In contrast, batteries subjected to electric currents of a wide amplitude, close to the upper cutoff voltage, electrolyte oxidation contributes \u223c50% of all the degradation mechanisms, consistent with recent experiments in the literature. Chemomechanically induced active material losses are maximal in the anode at high states of charge and maximal in the cathode at low states of charge. Results quantify the contribution to degradation from each individual mechanism, highlighting, for the first time, the need of physics-based, on-the-fly descriptions that go beyond traditional coulomb counting approaches. Finally, the identification of the individual degradation contributions enables the possibility of tailoring the charge\/discharge sequence to extend battery life.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

A. Jana, G. M. Shaver, R. Edwin Garc\u00eda “Physical, on the fly,…<\/p>\n

Continue reading “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″<\/span>…<\/a><\/div>\n
Continue reading \"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\"<\/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":[9,74,6,15],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/peeeSR-d5","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":517,"url":"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\/","url_meta":{"origin":811,"position":0},"title":"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.","date":"11\/04\/2017","format":false,"excerpt":"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. Abstract Physically-based Li-ion electrochemical cell models have been shown capable of predicting cell performance and degradation, but\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":811,"position":1},"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":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":811,"position":2},"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":[]},{"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":811,"position":3},"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":507,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/11\/04\/a-jana-dr-ely-re-garcia-dendrite-separator-interactions-in-lithium-based-batteries-journal-of-power-sources-275912-921-2015\/","url_meta":{"origin":811,"position":4},"title":"A Jana, DR Ely, RE Garc\u00eda “Dendrite-separator interactions in lithium-based batteries.”\u00a0Journal of Power Sources, 275:912-921, 2015.","date":"11\/04\/2017","format":false,"excerpt":"A Jana, DR Ely, RE Garc\u00eda \"Dendrite-separator interactions in lithium-based batteries.\"\u00a0Journal of Power Sources, 275:912-921, 2015. Abstract The effect of separator pore size on lithium dendrite growth is assessed through the use of the phase field method (PFM). Dendrites are found to undergo concurrent electrodeposition and electrodissolution that define their\u2026","rel":"","context":"In "Papers"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":502,"url":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/2017\/11\/04\/dr-ely-a-jana-re-garcia-phase-field-kinetics-of-lithium-electrodeposits-journal-of-power-sources-272581-594-2014\/","url_meta":{"origin":811,"position":5},"title":"DR Ely, A Jana, RE Garc\u00eda “Phase field kinetics of lithium electrodeposits.”\u00a0Journal of Power Sources, 272:581-594, 2014.","date":"11\/04\/2017","format":false,"excerpt":"DR Ely, A Jana, RE Garc\u00eda \"Phase field kinetics of lithium electrodeposits.\"\u00a0Journal of Power Sources, 272:581-594, 2014. Abstract A phase field description is formulated to describe the growth kinetics of an heterogeneously nucleated distribution of lithium electrodeposits. The underlying variational principle includes the bulk electrochemical contributions to the free energy\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\/811"}],"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=811"}],"version-history":[{"count":2,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/811\/revisions"}],"predecessor-version":[{"id":814,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/posts\/811\/revisions\/814"}],"wp:attachment":[{"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/media?parent=811"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/categories?post=811"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineering.purdue.edu\/ComputationalMaterials\/index.php\/wp-json\/wp\/v2\/tags?post=811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}