Diffusion-Equation-Based Electrical Modeling for High-Power Lithium Titanium Oxide Batteries

Haoze Chen, Weige Zhang, Caiping Zhang, Bingxiang Sun, Sijia Yang, Dinghong Chen
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Abstract

Lithium titanium oxide (LTO) batteries offer superior performance compared to graphite-based anodes in terms of rapid charge/discharge capability and chemical stability, making them promising candidates for fast-charging and power-assist vehicle applications. However, commonly used battery models often struggle to accurately describe the current–voltage characteristics of LTO batteries, particularly before the charge/discharge cutoff conditions. In this work, a novel electrical model based on the solid-phase diffusion equation is proposed to capture the unique electrochemical phenomena arising from the diffusion mismatch between the positive and negative electrodes in high-power LTO batteries. The robustness of the proposed model is evaluated under various loading conditions, including constant current and dynamic current tests, and the results are compared against experimental data. The experimental results for LTO batteries exhibit remarkable alignment with the model estimation, demonstrating a maximum voltage error below 3%.
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基于扩散方程的大功率钛氧化锂电池电学建模
与石墨阳极相比,锂钛氧化物(LTO)电池在快速充放电能力和化学稳定性方面具有更优越的性能,因此很有希望应用于快速充电和助力车领域。然而,常用的电池模型往往难以准确描述 LTO 电池的电流电压特性,尤其是在充放电截止条件之前。在这项研究中,我们提出了一种基于固相扩散方程的新型电气模型,以捕捉高功率 LTO 电池正负极之间扩散不匹配所产生的独特电化学现象。在各种负载条件下,包括恒定电流和动态电流测试,对所提模型的稳健性进行了评估,并将结果与实验数据进行了比较。LTO 电池的实验结果与模型估算结果非常吻合,最大电压误差低于 3%。
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