文件名称:Fractional-order modeling.zip
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- 2018-02-08
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This paper presents a fractional-order model (FOM) for lithium-ion batteries and its parameter identification using time-domain test data. The FOM is derived from a modified Randles model and takes the form of an equivalent circuit model with free non-integer differentiation orders. The coefficients and differentiation orders of the FOM are identified by hybrid multi-swarm particle swarm optimization. The
influence of approximation degree on model accuracy is discussed. Battery datasets under a range of conditions are used to analyze model performance. The accuracy and robustness of the FOM are benchmarked against the commonly used first-order RC equivalent circuit model.
influence of approximation degree on model accuracy is discussed. Battery datasets under a range of conditions are used to analyze model performance. The accuracy and robustness of the FOM are benchmarked against the commonly used first-order RC equivalent circuit model.
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Fractional-order modeling and parameter identification for lithium-ion batteries.pdf | 2188383 | 2017-01-25 |