期刊
JOURNAL OF CLEANER PRODUCTION
卷 255, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2020.120203
关键词
Fractional-order model; Co-estimation; State of charge; State of power; Lithium-ion batteries
资金
- National Natural Science Foundation of China [51977131, 51877138]
- State Key Laboratory of Automotive Safety and Energy [KF2020]
- Natural Science Foundation of Shanghai [19ZR1435800]
- Shanghai Science and Technology Development Fund [19QA1406200]
This paper proposes a co-estimation scheme of the state of charge (SOC) and the state of power (SOP) for lithium-ion batteries in electric vehicles based on a fractional-order model (FOM). First, a series of FOMs and integer-order models ([OMs) is constructed using fractional- and integer-order calculus. The model parameters are then identified using particle swarm optimization over the whole SOC range, and the complexity and accuracy of the resulting models are evaluated. Second, a fractional-order extended Kalman filter-based SOC estimator is developed. Third, the co-estimation of SOC and SOP is formulated, and an SOP estimation method based on three restrictions and a correction method from constant-current to constant-power are proposed. Finally, the proposed model and method are verified by experiments. The main results are as follows: (1) The FOMs achieve better accuracy than FOMs over the whole SOC range (especially in the low SOC range), and the FOM with a pair of resistance-constant phase elements and one Warburg element (FO-2RCW) producing the best performance. (2) The SOC estimation accuracy based on the FO-2RCW with variable parameters and orders is less than 2% over the whole SOC range. (3) The proposed co-estimation method is validated to be effective under the dynamic operating conditions and shows high accuracy. (C) 2020 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据