摘要
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.
源语言 | 英语 |
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主期刊名 | IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(电子版) | 9781479942398 |
DOI | |
出版状态 | 已出版 - 30 10月 2014 |
活动 | 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Beijing, 中国 期限: 31 8月 2014 → 3 9月 2014 |
出版系列
姓名 | IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings |
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会议
会议 | 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 |
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国家/地区 | 中国 |
市 | Beijing |
时期 | 31/08/14 → 3/09/14 |
指纹
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Du, L., & Cheng, X. (2014). The research on battery SOC estimation within colored noise. 在 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings 文章 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