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首页> 外文期刊>IEEE Transactions on Industrial Electronics >Search for an Optimal Rapid Charging Pattern for Lithium-Ion Batteries Using Ant Colony System Algorithm
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Search for an Optimal Rapid Charging Pattern for Lithium-Ion Batteries Using Ant Colony System Algorithm

机译:使用蚁群系统算法寻找锂离子电池的最佳快速充电模式

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Commercial lithium-ion batteries are playing important roles as supplies for mobile phones, laptop computers, and other electronics. In order to maximize the performance of lithium-ion batteries, an advanced rapid charging pattern is required. In this paper, an Ant-Colony-System (ACS)-based algorithm is presented. The proposed ACS-based algorithm can be integrated into a commercially available battery tester to search for the optimal rapid charging pattern. Experimental results show that the obtained rapid charging pattern is capable of charging the lithium-ion batteries to 70% capacity in 30 min. The obtained pattern also provides 25% more cycle life than the conventional constant current-constant voltage method.
机译:商用锂离子电池作为移动电话,笔记本电脑和其他电子产品的耗材发挥着重要作用。为了使锂离子电池的性能最大化,需要先进的快速充电模式。本文提出了一种基于蚁群系统的算法。可以将提出的基于ACS的算法集成到市售的电池测试仪中,以搜索最佳的快速充电模式。实验结果表明,所获得的快速充电模式能够在30分钟内将锂离子电池充电至70%的容量。与传统的恒定电流-恒定电压方法相比,所获得的图形还提供了25%的循环寿命。

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