Fast identification method for thermal model parameters of Lithium-ion battery based on discharge temperature rise
Fast identification method for thermal model parameters of Lithium-ion battery based on discharge temperature rise
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DOI：
10.1016/j.est.2021.103362
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发表时间：
2021-12
影响因子：
9.4
通讯作者：
Chunyu Wang;Changlong Li;G. Wang;Chenghui Zhang;N. Cui
中科院分区：
文献类型：
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作者：
Chunyu Wang;Changlong Li;G. Wang;Chenghui Zhang;N. Cui
准确的锂离子电池热模型对电动汽车的安全运行至关重要。熵系数是电池的一个关键热特性，通常是事先测量的。然而，传统的测量方法需要较长的测试时间或昂贵的设备。本文提出了一种快速连续熵系数辨识的热模型参数辨识方法，以较低的时间和设备成本获得热模型参数。首先，建立了集总热等效电路模型来描述电池温度的动态行为。其次，在实验和计算的基础上确定了热模型参数。根据不同放电电流下的温升响应计算了熵系数。最后，将熵系数的识别结果与传统方法进行了比较，结果吻合较好。此外，热模型在恒流放电测试和0°C至40°C温度范围内的动态剖面下进行了彻底验证。比较了三种不同熵系数处理的热模型的温度误差，表明了动态熵系数处理模型的优越性，特别是在高温条件下。
An accurate thermal model of lithium-ion battery is extremely important for the safe operation of electric vehicles. The entropy coefficient is a key thermal characteristic of the battery, which is usually measured in advance. However, traditional measurement methods require a long test time or expensive equipment. In this paper, a novel thermal model parameter identification method with fast and continuous entropy coefficient identification is proposed, in which thermal parameters are obtained with lower time and equipment costs. First, a lumped thermal equivalent circuit model is established to describe the dynamic behaviors of battery temperature. Second, the thermal model parameters are identified based on experiments and calculations. The entropy coefficient is calculated based on temperature rise responses with different discharge currents. Finally, the identification results of the entropy coefficient are compared with traditional methods, which are found to be in good agreement. Furthermore, the thermal models are thoroughly verified under both galvanostatic discharge tests and dynamic profiles over the temperature range from 0 °C to 40 °C. Three kinds of thermal models with different entropy coefficient treatments are compared in terms of temperature errors, which indicates the superiority of the model with dynamic entropy coefficient, especially at high temperatures.