| CHENG Ze,LI Zhi,SUN Xingmian.Modeling of Lithium-ion Battery Considering Relaxation and Hysteresis and State of Charge Estimation[J].JOURNAL OF POWER SUPPLY,2019,17(1):87-94 |
| Modeling of Lithium-ion Battery Considering Relaxation and Hysteresis and State of Charge Estimation |
| Received:May 17, 2017 Revised:August 17, 2018 |
| View Full Text View/Add Comment Download reader |
| DOI：10.13234/j.issn.2095-2805.2019.1.87 |
| Keywords:lithium-ion battery state of charge(SOC) estimation hysteresis relaxation self-tuning model |
| Fund Project:Natural Science Foundation of China |
| Author | Institution | Email |
| CHENG Ze |
School of Electrical and Information Engineering, Tianjin University, Tianjin , China |
chengze@tju.edu.cn |
| LI Zhi |
School of Electrical and Information Engineering, Tianjin University, Tianjin , China |
|
| SUN Xingmian |
School of Electrical and Information Engineering, Tianjin University, Tianjin , China |
|
|
| Hits: 652 |
| Download times: 329 |
| Abstract: |
| When the current state of a lithium-ion battery changes suddenly, relaxation and hysteresis will appear. In this paper, based on the analysis of an equivalent circuit model of battery, a linear filter and a hysteresis module were introduced, and a self-tuning model of battery was established. Then, constant-current pulse tests and dynamic stress test(DST) were conducted to verify the reliability of the self-tuning model in following the voltage characteristics of the battery. On the basis of the proposed model, the finite difference extended Kalman filter(FDEKF) algorithm was used to estimate the state of charge(SOC) of battery. Experimental results showed that the self-tuning model can better reflect the dynamic characteristics of the battery while keeping the SOC estimation with high accuracy. |
| Close |
|
|
|
