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摘要： The open circuit voltage (OCV) is an essential variable for accurate state of charge (SoC) estimation of lithium ion batteries in electric vehicles (EVs). OCV test must be performed periodically to calibrate the OCV-SoC relationship after battery aging. Furthermore, due to pronounced hysteresis effects and wide flat regions in the OCV-SoC curves of LiFePO4 batteries, the traditional OCV tests often take three to five days to obtain data on one or more fully charge and discharge cycles, which are time-consuming and become unreliable under changing driving cycles and operating conditions. In addition, the OCV-SoC relationship determined in a certain aging stage cannot be used for the full life cycle and whole operating conditions. In this paper, the OCV-SoC relationship is extracted from any existing current-voltage measurements by using an H infinity filter within several seconds, which is verified under constant current conditions and dynamic conditions. Our results show that the estimated OCV can result in accurate SoC estimation with a maximum error of 1%. (C) 2017 Elsevier Ltd. All rights reserved. |
部分图片：
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图1 The experimental OCV-SoC and capacity at different cycle numbers: (a) OCV-SoC. (b) Capacity. | 
图2 The flowchart of SoC estimation procedure (OCV and model parameters are estimated from the characterization tests). | 引文信息： Xiong R, Yu Q, Lin C. A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter[J]. Applied energy, 2017, 207: 346-353. (下载链接) | 其他相关论文： 1. Sun F , Xiong R . A novel dual-scale cell state-of-charge estimation approach for series-connected battery pack used in electric vehicles[J]. Journal of Power Sources, 2015.（下载链接）
2. Xiong R , Gong X , Mi C C , et al. A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter[J]. Journal of Power Sources, 2013, 243(6):805-816. (下载链接)
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