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RISS 인기검색어
- 검색키워드
- 저자 : Wang Qiuting (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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New SOC estimation method under multi-temperature conditions based on parametric-estimation OCV
Wang, Qiuting,Qi, Wei The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.2
A new state of charge (SOC) estimation method under multi-temperature conditions is presented. The model parameters and SOC value of a lithium-ion battery cell are calculated based on the parametric-estimation open circuit voltage (OCV). The main efforts of this study are as follows. First, the OCV value is obtained based on an equivalent circuit model. Second, the model parameters and states are estimated using an adaptive joint extended Kalman filter. Third, the parametric OCV mapping model (OCV<sub>PE</sub>-SOC) is put forward to reduce systematic errors. Lastly, the online SOC value is estimated based on the battery model, the model parameters and the OCV<sub>PE</sub>-SOC mapping model. The noise covariance matrix is updated iteratively using an innovation sequence. The mapping model is established under a dynamic stress test cycle test and the verification results are obtained under the federal urban driving schedule cycle test. The obtained experimental results indicate that the proposed method can effectively reduce the system error and that a more accurate SOC estimation value can be obtained under different temperatures.
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Fast cycle life evaluation method for ternary lithium‑ion batteries based on divided SOC intervals
Qiuting Wang,Jiani Sun,Hong Wu,Wei Qi,Hui Jin,Li Ling 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.5
Ternary lithium-ion batteries are commonly used in electrical power systems. It is necessary to accurately estimate the life characteristics of the battery cell/pack under specific cycle conditions. In this article, the empirical model of the capacity attenuation value is improved, and a mathematical model of the capacity attenuation rate is established. The cell capacity value based on the entire state of charge (SOC) interval and the divided SOC intervals are identified. The difference between them is calculated and analyzed. A multiple regression model is presented to describe the linear relationship between the health state parameters and the capacity value of a ternary lithium-on battery. Finally, an accelerated aging test is introduced, and a fast cycle life evaluation method is proposed. The proposed method is validated with experimental data under different charge/discharge currents. The obtained results show that the new model and the algorithms trained by divided SOC intervals are effective. They also show that the cycle life estimation error can be ranged within 3%. In addition, the cycle time of the aging test can be reduced to about one fifth of that with the traditional method.
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State of Health Estimation for Lithium-ion Battery Based on D-UKF
Wang Qiuting,Jiang Yinzhu,Lu Yunhao 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.7
This paper considers an accurate estimation method of State of Health (SOH) for lithium battery. An improved battery model is proposed which is based on equivalent circuit model and battery internal electrochemical characteristics. In our study, Double Unscented Kalman Filtering (D-UKF) algorithm is designed to calculate State of Charge (SOC) and SOH of lithium battery at the same time. The feature of our new method is SOH estimation model is derived based on battery internal resistances. The Ohmic resistance (one of internal resistances) can be identified online based on D-UKF algorithm. Two filters defined as UKF1 and UKF2 are working together to calculate the real-value of SOC and Ohmic resistance to obtain final SOH value. The experimental results indicate that our new battery model considers different value of battery internal resistances on different working condition (as different voltages, different currents). Besides, our study verifies the performance and feasibility of new estimation method based on D-UKF. This new algorithm has the practical value to further study for other types of lithium battery.
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Yuan Wang,Yihua Zhang,Qiuting Liu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.3
With Fujian Province as object of study, panel data from 1981 to 2012 is selected in this paper. Besides, VAR model is established. Co-integration test, Granger causality, impulse response function and variance decomposition are used for quantitative analysis on correlation between domestic investment, government consumption, household consumption and economic growth in Fujian Province. The author reveals long-term stable balance among investment, government consumption and household consumption in Fujian Province as well as bidirectional causal relationship between economic growth and domestic investment, government consumption and household consumption. For a short term, household consumption is of relatively strong positive impact effect on economic gain, which is served as major impetus of economic growth. Domestic investment is of relatively obvious promotion for economic growth in a short term and of certain negative effect on economic growth in a long term. However, government investment is of relatively small positive impact to economic growth. Such promotion lasts for a longer period. On this basis, the author proposes some policies and recommendations for macroeconomic regulation and control in Fujian Province.
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