Abstract
This paper discusses a continuous-time system identification of the battery for electric vehicles (EVs). Although it is important to know a state of charge (SOC) and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. The development of the battery model suffers from the battery physicochemical complexity and nonlinearity. To address such issues, this paper proposes a continuous-time system identification method using the battery model in consideration of temperature characteristics. This approach is verified by performing a construction of a model of the battery using experimental data with an EV.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1939-1944 |
| Number of pages | 6 |
| ISBN (Print) | 9781479977871 |
| DOIs | |
| Publication status | Published - 2015 Nov 4 |
| Event | IEEE Conference on Control and Applications, CCA 2015 - Sydney, Australia Duration: 2015 Sep 21 → 2015 Sep 23 |
Other
| Other | IEEE Conference on Control and Applications, CCA 2015 |
|---|---|
| Country | Australia |
| City | Sydney |
| Period | 15/9/21 → 15/9/23 |
ASJC Scopus subject areas
- Control and Systems Engineering
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Hikono, S., Sugiura, A., Kawaguchi, T., Baba, A., Maruta, I., & Adachi, S. (2015). Continuous-time system identification of rechargeable battery in electric vehicles in consideration of temperature characteristics. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings (pp. 1939-1944). [7320893] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2015.7320893