{"title":"Optimal Charging of Lithium-Ion Batteries: An Electro-Thermal Model Approach Using Maximum Possible Optimization","authors":"Kamala Kumari Duru, Praneash Venkatachalam, Syed Ali Hussain, Asha Anish Madhavan, Sangaraju Sambasivam, Sujith Kalluri","doi":"10.1002/adts.202500320","DOIUrl":null,"url":null,"abstract":"Electric vehicle (EV) charging has recently become one of the most pressing issues. Given the growing demand for lithium-ion batteries (LIBs) in electric vehicles, this study analyzes optimization methods for improving existing approaches to speed up charging while reducing temperature rise. This work formulates a double-objective function for battery charging based on an electrothermal model. The focused objective function is comprised of a combination of two different fitness functions. Optimization of charging current is made dynamically following a battery's temperature. These experimental findings validate the proposed charging strategy's effectiveness in delivering the optimal current profile. This approach demonstrably achieves a well-calibrated balance between competing performance objectives. By adopting the suggested strategy, any increase in the battery's temperature can be maintained within an acceptable temperature range. The proposed constant current constant voltage (CCCV) charging method takes a total charging time of 1874 s, with a temperature shift from 26 to 45.78 <span data-altimg=\"/cms/asset/7fbfed2e-7e97-4aa8-acab-eecbe19f61f4/adts70005-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"1\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/adts70005-math-0001.png\"><mjx-semantics><mjx-mrow data-semantic-annotation=\"clearspeak:unit\" data-semantic-children=\"2,3\" data-semantic-content=\"4\" data-semantic- data-semantic-role=\"implicit\" data-semantic-speech=\"Superscript ring Baseline normal upper C\" data-semantic-type=\"infixop\"><mjx-msup data-semantic-children=\"0,1\" data-semantic- data-semantic-parent=\"5\" data-semantic-role=\"unknown\" data-semantic-type=\"superscript\"><mjx-mrow data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"empty\"></mjx-mrow><mjx-script style=\"vertical-align: 0.363em;\"><mjx-mo data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\" size=\"s\"><mjx-c></mjx-c></mjx-mo></mjx-script></mjx-msup><mjx-mo data-semantic-added=\"true\" data-semantic- data-semantic-operator=\"infixop,\" data-semantic-parent=\"5\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"5\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:25130390:media:adts70005:adts70005-math-0001\" display=\"inline\" location=\"graphic/adts70005-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow data-semantic-=\"\" data-semantic-annotation=\"clearspeak:unit\" data-semantic-children=\"2,3\" data-semantic-content=\"4\" data-semantic-role=\"implicit\" data-semantic-speech=\"Superscript ring Baseline normal upper C\" data-semantic-type=\"infixop\"><msup data-semantic-=\"\" data-semantic-children=\"0,1\" data-semantic-parent=\"5\" data-semantic-role=\"unknown\" data-semantic-type=\"superscript\"><mrow data-semantic-=\"\" data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"empty\"></mrow><mo data-semantic-=\"\" data-semantic-parent=\"2\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\">∘</mo></msup><mo data-semantic-=\"\" data-semantic-added=\"true\" data-semantic-operator=\"infixop,\" data-semantic-parent=\"5\" data-semantic-role=\"multiplication\" data-semantic-type=\"operator\"></mo><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"5\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">C</mi></mrow>$^{\\circ }{\\rm C}$</annotation></semantics></math></mjx-assistive-mml></mjx-container>.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"230 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202500320","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Electric vehicle (EV) charging has recently become one of the most pressing issues. Given the growing demand for lithium-ion batteries (LIBs) in electric vehicles, this study analyzes optimization methods for improving existing approaches to speed up charging while reducing temperature rise. This work formulates a double-objective function for battery charging based on an electrothermal model. The focused objective function is comprised of a combination of two different fitness functions. Optimization of charging current is made dynamically following a battery's temperature. These experimental findings validate the proposed charging strategy's effectiveness in delivering the optimal current profile. This approach demonstrably achieves a well-calibrated balance between competing performance objectives. By adopting the suggested strategy, any increase in the battery's temperature can be maintained within an acceptable temperature range. The proposed constant current constant voltage (CCCV) charging method takes a total charging time of 1874 s, with a temperature shift from 26 to 45.78 .
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics