返回
A Lithium-Ion Battery Current Estimation Technique Using an Unknown Input Observer
DOI:10.1109/TVT.2017.2657520.png)
摘要
En 中文
Current consumption measurements are useful in a wide variety of applications, including power monitoring and fault detection within a lithium-ion battery management system (BMS). This measurement is typically taken using either a shunt resistor or a Hall-effect current sensor. Although both methods have achieved accurate current measurements, shunt resistors have inherent power loss and require isolation circuitry, and Hall-effect sensors are generally expensive. This paper explores a novel alternative to sensing battery current by measuring terminal voltages and cell temperatures and using an unknown input observer to estimate the battery current. An accurate model of a LiFePO4 cell is created, validated, and then used to characterize a model of the proposed current estimation technique. Finally, the current estimation technique is implemented in hardware and tested in an online BMS environment. Results show that the current estimation technique is sufficiently accurate for a variety of applications, including fault detection and power profiling.
Keyword:
Battery
battery management system (BMS)
current estimation
Hall-effect
LiFePO4
lithium-ion
parameter estimation
shunt
state of charge
unknown input observer (UIO)
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries基于Lyapunov的锂离子电池自适应荷电状态和健康状态估计
Nonlinear Robust Observers for State-of-Charge Estimation of Lithium-Ion Cells Based on a Reduced Electrochemical Model基于简化电化学模型的锂离子电池荷电状态估计的非线性鲁棒观测器
Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model基于综合不可观测模型的锂离子电池充电状态、未知非线性和健康状态的估计

