A Novel Multi-scale Co-estimation Framework of State of Charge, State of Health, and State of Power for Lithium-Ion Batteries

被引：0
|
作者：
Hu, Xiaosong [1 ]
Jiang, Haifu [1 ]
Feng, Fei [1 ]
Zou, Changfu [2 ]
机构：
[1] Chongqing Univ, Dept Automot Engn, Chongqing 400044, Peoples R China
[2] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden
来源：
JOINT INTERNATIONAL CONFERENCE ON ENERGY, ECOLOGY AND ENVIRONMENT ICEEE 2018 AND ELECTRIC AND INTELLIGENT VEHICLES ICEIV 2018 | 2018年
基金：
中国国家自然科学基金;
关键词：
State of Charge; State of Health; State of Power; Batteries; MANAGEMENT-SYSTEMS; OF-CHARGE; KALMAN; PARAMETER; PACKS; MODEL;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Considering the underlying coupling among State of Charge (SOC), State of Health (SOH), and State of Power (SOP), this work proposes a novel multi-timescale co-estimation framework for these lithium-ion battery states. A modified moving horizon estimator (mMHE) is applied to the SOC estimation in real time. The model parameters affecting the SOP estimation are periodically updated through an mMHE optimization with a relatively long time horizon. The ampere-hour integral and the estimated SOC are employed to realize the SOH estimation offline. The effectiveness of the joint SOC/SOH/SOP estimation is validated experimentally on real-world batteries.
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收藏
页数：8
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