High-Efficiency Adaptive-Current Charging Strategy for Electric Vehicles Considering Variation of Internal Resistance of Lithium-Ion Battery

内阻 电池(电) 涓流充电 汽车工程 电动汽车 荷电状态 电气工程 锂离子电池 电池组 功率(物理) 航程(航空) 计算机科学 工程类 控制理论(社会学) 物理 人工智能 航空航天工程 控制(管理) 量子力学
作者
Jung-Hoon Ahn,Byoung‐Kuk Lee
出处
期刊:IEEE Transactions on Power Electronics [Institute of Electrical and Electronics Engineers]
卷期号:34 (4): 3041-3052 被引量:87
标识
DOI:10.1109/tpel.2018.2848550
摘要

This paper outlines a battery charging strategy to reduce charging losses in a lithium-ion battery for electric vehicles. The proposed charging strategy utilizes an adaptive current profile based on variations of the battery internal resistance as a function of the state of charge and the charge rate. To address the problem of finding the optimal current set for the proposed strategy, an evolutionary algorithm, which is a type of stochastic approach, is applied. A strategy for selecting the optimal number of charging intervals is also presented to reach a compromise between loss reduction and computational burden. Experimental results obtained using 34-Ah lithium-nickel-manganese-cobalt-oxide battery cells have proved that the proposed charging strategy decreases the charging loss of the battery cell by 40.1% compared with a conventional constant-current charging strategy. Furthermore, a 3.3-kW on-board charger prototype has been built to investigate the total loss reduction in an electric vehicle charging system that includes a 12-kWh battery pack. The proposed adaptive-current charging strategy reduces the total charging losses including both battery loss and charger loss of electric vehicles by 7.2%, 11.2%, and 21.2% in charging systems with power ratings of 3.3 kW, 6.6 kW, and 13.2 kW, respectively. These improvements can have the same effect as increasing the charger efficiency from a minimum of 0.50% to a maximum of 3.72% in our analysis range of 3.3-52.8 kW.
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