State of charge estimation of HEV/EV battery with series Kalman filter

Atsushi Baba, Shuichi Adachi

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

This paper proposes a method of accurately estimating the state of charge (SOC) of lithium-ion rechargeable batteries in high fuel efficiency vehicles, such as hybrid electric vehicles (HEVs) and electric vehicles (EVs). Although it is important to accurately estimate SOC of the battery to maximize efficiency and safety, there exist many problems for conventional methods. To address this issue, a model-based approach using "Series Kalman Filters" is proposed and implemented in this paper. Its approach is verified with series of simulations under the basic HEV operating environment. A discussion on a limitation of the method is also included in this paper. The ultimate goal is to design a state estimator capable of providing accurate state estimation of batteries under any possible user conditions.

本文言語English
ホスト出版物のタイトル2012 Proceedings of SICE Annual Conference, SICE 2012
出版社Society of Instrument and Control Engineers (SICE)
ページ845-850
ページ数6
ISBN(印刷版)9781467322591
出版ステータスPublished - 2012 1 1
イベント2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
継続期間: 2012 8 202012 8 23

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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