{"id":1047,"date":"2026-04-15T12:47:04","date_gmt":"2026-04-15T12:47:04","guid":{"rendered":"https:\/\/citations.tools.bio-logic.fr\/?p=1047"},"modified":"2026-04-15T12:47:04","modified_gmt":"2026-04-15T12:47:04","slug":"particle-filtering-framework-for-health-monitoring-of-lithium-ion-batteries-using-ampere-hour-throughput-based-semi-empirical-model","status":"publish","type":"post","link":"https:\/\/citations.tools.bio-logic.fr\/?p=1047","title":{"rendered":"Particle Filtering framework for Health Monitoring of Lithium-Ion Batteries using Ampere-hour Throughput based Semi-Empirical Model"},"content":{"rendered":"<h4>DOI:<\/h4>\n<p><a href=\"https:\/\/doi.org\/10.1109\/icphm51084.2021.9486635\" target=\"_blank\" rel=\"noopener\">10.1109\/icphm51084.2021.9486635<\/a><\/p>\n<h4>Authors:<\/h4>\n<p>Bikky Routh, Arijit Guha, Amit Patra, Siddhartha Mukhopadhyay<\/p>\n<h4>Abstract:<\/h4>\n<p>Battery health monitoring typically refers to the monitoring of its State of Health (SoH). This paper explores a method for the health monitoring of a Li-ion battery based on a previously developed capacity fade model which is a function of ampere-hour throughput. The model parameters is identified by using Levenberg-Marquardt algorithm. Next, the model is used in a particle filtering (PF) framework for health monitoring. Further, the results corresponding to the C-rate dependency on initial model parameters variations have been also presented. The test has been carried out on 18650 cylindrical cells (ICR) with a nominal capacity of 2.6Ah and a nominal voltage of 4.2V and experiments were performed using a Biologic (BCS-815) battery testing equipment.The accuracy of the results is within about \u00b12% which is quite encouraging.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DOI: 10.1109\/icphm51084.2021.9486635 Authors: Bikky Routh, Arijit Guha, Amit Patra, Siddhartha Mukhopadhyay Abstract: Battery health monitoring typically refers to the monitoring of its State of Health (SoH). This paper explores a method for the health monitoring of a Li-ion battery based on a previously developed capacity fade model which is a function of ampere-hour throughput. The [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[34],"class_list":["post-1047","post","type-post","status-publish","format-standard","hentry","category-bcs-800-battery-cycler","tag-battery"],"_links":{"self":[{"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=\/wp\/v2\/posts\/1047","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1047"}],"version-history":[{"count":0,"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=\/wp\/v2\/posts\/1047\/revisions"}],"wp:attachment":[{"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1047"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1047"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/citations.tools.bio-logic.fr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1047"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}