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Quick Charging Strategy Based on Temperature Characteristics: Presented at the EVTeC and APE Japan on September 30, 2018

机译:基于温度特征的快速充电策略:2018年9月30日evtec和Ape日本呈现

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This paper studies the temperature characteristics of lithium iron phosphate batteries, and obtains the temperature rising trend under different magnifications. After that, polynomial fitting was performed on the temperature data of charge and discharge to obtain the rate of change of temperature. Then, Power function fitting was carried out between charge rate and temperature change rate to predict the temperature change rate of 4C and 5C. Finally, according to the experimental data calculated rate of change of temperature and the predicted rate of change of temperature to make a quick charging strategy.
机译:本文研究了磷酸铁锂电池的温度特性,并在不同放大倍率下获得温度上升趋势。 之后,对电荷和放电的温度数据进行多项式拟合,以获得温度变化率。 然后,在电荷率和温度变化率之间进行功率功能拟合以预测4C和5C的温度变化率。 最后,根据实验数据计算的温度变化率和预测的温度变化率,以进行快速充电策略。

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