Load Current and State-of-Charge Coestimation for Current Sensor-Free Lithium-Ion Battery

被引：71

作者：

Wei, Zhongbao ^{[1
]}

Hu, Jian ^{[1
]}

He, Hongwen ^{[1
]}

Li, Yang ^{[2
]}

Xiong, Binyu ^{[3
]}

机构：

[1] Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Sch Mech Engn, Beijing 100811, Peoples R China

[2] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden

[3] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER ELECTRONICS | 2021年 / 36卷 / 10期

基金：

中国国家自然科学基金;

关键词：

State of charge; Estimation; Optimization; Current measurement; Voltage measurement; Adaptation models; Mathematical model; lithium ion battery; battery management; current sensor-free; input estimation; HEALTH ESTIMATION; KALMAN FILTER;

D O I：

10.1109/TPEL.2021.3068725

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The installation of current sensors on lithium-ion batteries (LIBs) can be challenging due to practical constraints in specific applications like portable electronics and smart batteries. Motivated by this, our letter proposes a method for online load current and state-of-charge (SOC) coestimation, which mitigates the need of installing the current sensor for LIB management. The essence is to transform the state observation into a constrained optimization problem, which is solved numerically in a moving horizon framework to allow the online coestimation of SOC and input current. Experimental results suggest that the proposed method can coestimate the load current and SOC of LIB precisely even if the current sensor is absent. The encouraging results are insightful for reducing the structural complexity and cost of future LIB utilization.

引用

页码：10970 / 10975

页数：6

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