研究一种以钛酸锂氧化物（LTO）为负极材料的锂离子电池,对电池在不同倍率下的性能以及温升情况进行研究,并对电池在66C（C为最大容量）的放电倍率下进行连续循环放电测试,通过实验可得：电池在66C状态下达到最大温升,最高温度51.72 ℃,达到最大温差25.65 ℃,其中最大产热率为739.97 W,66C放电倍率下电池放电深度仅为总电量的42%,随着循环次数以及放电倍率的增加,电池的内阻呈逐渐减小的趋势,最小为0.63 mΩ。最后根据电池在高倍率下的循环放电,对卡尔曼滤波算法进行改进,应用扩展卡尔曼滤波算法对电池的容量衰减进行预测,验证了此算法在高倍率放电情况下的适用程度,误差最大控制在0.05以内,达到了良好效果。
Abstract
In this paper, a lithium-ion battery with lithium titanite oxide （LTO） as the anode material is investigated. This paper investigates the electrical performance and temperature rise of batteries at different multipliers and tests them at 66C （C is the maximum capacity） in continuous cycles. The experiments concluded that the battery reached its maximum temperature rise at 66C, with a maximum temperature of 51.72 ℃ and a maximum temperature difference of 25.65 ℃, of which the maximum heat production rate was 739.97 W. The discharge depth of the battery at 66C discharge rate is only 42% of the total charge. As the number of cycles and discharge rate increase, the internal resistance of the battery shows a gradually decreasing trend, reaching a minimum of 0.63 mΩ. Finally, the Kalman filter algorithm was improved by applying the extended Kalman filter algorithm to predict the capacity decay of the battery based on the cyclic discharge of the battery at a high rate, and the applicability of this algorithm was verified under the high rate of discharge. The maximum error is within 0.05, which is a good result.
关键词
锂离子电池 /
高倍率放电 /
热特性 /
内阻变化 /
扩展卡尔曼滤波 /
LTO阳极电池
Key words
lithium ion battery /
high rate discharge /
thermal characteristics /
internal resistance change /
extended Kalman filter /
LTO anode battery
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基金
国家自然科学基金（61143007）; 中国-北马其顿政府间科技合作项目（国科外[2019]22: 6-8）
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