State of Charge and Parameter Estimation of Lithium-ion Batteries for HEVs and EVs

HEV/EV 向けリチウムイオン電池の充電率とパラメータの同時推定

This paper discusses the accuracy of the simultaneous state of charge (SOC) and parameter estimation method of the batteries for hybrid electric vehicles (HEVs) and electric vehicles (EVs) use. Although it is important to determine the battery aging, to control the charging and the discharging, and/or to maintain battery fault detections, the accuracy of the parameter estimation has not been thoroughly discussed. To address this issue, physico-chemical study using simultaneous state and log-normalized parameter estimation of batteries is provided in this paper. The proposed method is verified by performing a series of experiments using an EV.ハイブリッド自動車(HEV)や電気自動車(EV)の電池のパラメータは劣化診断などのために重要であるが，その精度検証は一般に難しい問題である．本論文では対数化UKFによるSOCとパラメータの同時推定法におけるパラメータ推定精度について，物理化学的な知見に基づいて検証する．提案法の有用性をEVによる走行実験データを用いて示す．

• Record URL:
  https://doi.org/10.11351/jsaeronbun.46.97
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
• Authors:
  • Baba, Atsushi
  • Itabashi, Kinnosuke
  • Teranishi, Nozomu
  • Edamoto, Yoshihiro
  • Osamura, Kensuke
  • Maruta, Ichiro
  • Adachi, Shuichi
• Publication Date: 2015

Language

• English
• Japanese

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 97-102
• Serial:
  • Transactions of Society of Automotive Engineers of Japan
  • Volume: 46
  • Issue Number: 1
  • Publisher: Society of Automotive Engineers of Japan
  • ISSN: 0287-8321
  • EISSN: 1883-0811
  • Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Electric batteries; Electric vehicle charging; Electric vehicles; Hybrid vehicles; Kalman filtering; Lithium batteries
• Identifier Terms: Arrhenius equation
• Uncontrolled Terms: Diffusion coefficient; State of charge
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01664872
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Mar 30 2018 9:52AM