Abstract
In electric vehicles, the colored noise signal in current measurement could cause the battery SOC estimation inaccurate and divergent. In order to solve this problem, our authors used the colored noise as the state variables for Kalman filtering algorithm to reduce influences on the SOC estimation accuracy. Experimental results showed that the filtering method used in this paper could improve the accuracy for battery SOC estimation on the colored noise impacts.
| Original language | English |
|---|---|
| Title of host publication | IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479942398 |
| DOIs | |
| Publication status | Published - 30 Oct 2014 |
| Event | 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Beijing, China Duration: 31 Aug 2014 → 3 Sept 2014 |
Publication series
| Name | IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings |
|---|
Conference
| Conference | 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 31/08/14 → 3/09/14 |
Keywords
- Colored noise
- Electric vehicles
- Kalman filter
- Lithium-ion battery
- SOC estimation
Access to Document
Other files and links
Fingerprint
Dive into the research topics of 'The research on battery SOC estimation within colored noise'. Together they form a unique fingerprint.Cite this
Du, L., & Cheng, X. (2014). The research on battery SOC estimation within colored noise. In IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings Article 6940885 (IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC-AP.2014.6940885