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논문 기본 정보

자료유형
학술저널
저자정보
Yulan Zhao (Qingdao Technological University) Haitao Yun (Qingdao Technological University) Shude Liu (Qingdao Technological University) Huirong Jiao (Qingdao Technological University) Chengzhen Wang (Qingdao Technological University)
저널정보
전력전자학회 JOURNAL OF POWER ELECTRONICS JOURNAL OF POWER ELECTRONICS Vol.14 No.5
발행연도
2014.9
수록면
1,038 - 1,046 (9page)

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초록· 키워드

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Lithium-ion batteries are widely used in hybrid and pure electric vehicles. State-of-charge (SOC) estimation is a fundamental issue in vehicle power train control and battery management systems. This study proposes a novel model-based SOC estimation method that applies closed-loop state observer theory and a comprehensive battery model. The state-space model of lithium-ion battery is developed based on a three-order resistor?capacitor equivalent circuit model. The least square algorithm is used to identify model parameters. A multi-state closed-loop state observer is designed to predict the open-circuit voltage (OCV) of a battery based on the battery state-space model. Battery SOC can then be estimated based on the corresponding relationship between battery OCV and SOC. Finally, practical driving tests that use two types of typical driving cycle are performed to verify the proposed SOC estimation method. Test results prove that the proposed estimation method is reasonably accurate and exhibits accuracy in estimating SOC within 2% under different driving cycles.

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Abstract
I. INTRODUCTION
II. STATE-SPACE MODEL OF THE BATTERY
III. PARAMETER ESTIMATION OF THE BATTERY STATE-SPACE MODEL
IV. BATTERY SOC ESTIMATION
V. EXPERIMENTAL VERIFICATION AND ANALYSIS
VI. CONCLUSIONS
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UCI(KEPA) : I410-ECN-0101-2015-500-002566730