| 摘要: This paper presents a systematic evaluation for five typical equivalent circuit models (ECMs) of ultracapacitors (UCs) under different ambient temperatures. A comprehensive experimental profile is designed to obtain the test datasets. The genetic algorithm (GA) is employed to identify the model parameters for five UC models under different temperatures and state of charge (SOCs). Three results can be obtained from the systematic analysis. (1) Due to the better model accuracy and robustness, the Thevenin model is preferred for UC cell modeling with the maximum errors less than 8 mV. (2) Compared with the other four UC models, the Thevenin model with one-state hysteresis (Thevenin-hys model) is preferred for UC pack modeling because of its better performance. (3) From the point of view of model accuracy and robustness against different ambient temperatures, if the SOC is less than 0.5, the UCs are not suitable for further application. |
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| | 图1 Configuration of the experimental rig. | 图2 Errors of the five UC models by using the UDDS data at 10 ℃. | 引文信息: Wang C, He H, Zhang Y, et al. A comparative study on the applicability of ultracapacitor models for electric vehicles under different temperatures[J]. Applied Energy, 2017, 196: 268-278.(下载链接) | 其他相关论文: 1. R. Xiong, H. Chen, C .Wang and F. Sun, “Towards a smarter hybrid energy storage system based on battery and ultracapacitor - a critical review on topology and energy management”, Journal of Cleaner Production, vol. 202, pp. 1228-1240, Nov 2018.(下载链接)
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