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An ECM-PSO based optimal charging current pattern searching for Li-ion batteries

机译:基于ECM-PSO的最优充电电流模式搜索锂离子电池

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EV battery charging is growing in importance as it has a direct influence on the EV performance. Multistage Constant Current (MCC) charging strategy is an effective rapid charging method. This paper proposes an ECM-PSO algorithm to search for the optimal current pattern of the MCC charging strategy. The MCC charging model is built according to the Li-ion battery equivalent circuit model, and the object function for the ECM-PSO optimization was formulated and the optimal current pattern of the MCC charging method was obtained through the ECM-PSO algorithm. The experimental result shows that the obtained current pattern is capable of charging the batteries to 87.7% of the rated capacity within 36.5 min. Compared with the conventional CC-CV charging method, the proposed charging strategy has a performance improvement of 60.3% in charging time reduction, and the average temperature rise during the proposed MCC charging process is 0.5 °C lower than the CC-CV charging method.
机译:EV电池充电的重要性越来越重要,因为它对EV性能有直接影响。多级恒流(MCC)充电策略是一种有效的快速充电方法。本文提出了一种ECM-PSO算法,用于搜索MCC充电策略的最佳电流模式。根据锂离子电池等效电路模型建立了MCC充电模型,并配制了ECM-PSO优化的对象功能,通过ECM-PSO算法获得了MCC充电方法的最佳电流模式。实验结果表明,所获得的电流模式能够在36.5分钟内将电池充电至额定容量的87.7%。与传统的CC-CV充电方法相比,所提出的充电策略在收费时间减少时的性能提高60.3%,并且在所提出的MCC充电过程中的平均温度升高比CC-CV充电方法低0.5°C。

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