文章基本信息

标题：Optimal Health-Conscious Fast Charging of Lithium Ion Batteries
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作者：Zachary Salyer ; Matilde D’Arpino ; Marcello Canova 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：20
页码：516-521
DOI：10.1016/j.ifacol.2021.11.224
语种：English
出版社：Elsevier
摘要：AbstractThe design of optimal fast charging strategies for lithium-ion batteries that can significantly reduce the charging time while managing multiple conflicting objectives is crucial for widespread adoption of electric vehicles. In this paper, a novel methodology is introduced to define optimal control policies for fast charging. The proposed approach utilizes a physics-based electrochemical model to accurately predict the cell’s electrical, thermal, and aging response, in conjunction with particle swarm optimization (PSO). The optimization is performed offline to manage mathematical complexity and the results are analyzed to define a Pareto-optimal front for the multi-objective optimization (aging versus time over a given charging cycle) considering different power limitations for the thermal management system. These results indicate how optimal thermal management is critical to tradeoff the competing objectives of charging time and degradation.
关键词：KeywordsFast Charging ControlParticle Swarm OptimizationBattery Aging