Li-Ion Battery SOC Estimation Method based on the Reduced Order Extended Kalman Filtering

By Jaemoon Lee, Oan-Yong Nam, Bo-Hyung Cho. 2006

333 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/07e776da7864006e843ac7728f03921ef4e6ea62

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In Automotive Engineering

In Control and Systems Engineering

Citations in the corpus

Improved Performance of Serially Connected Li-Ion Batteries With Active Cell Balancing in Electric Vehicles (2011, methodology): “The SOC can, for example, be estimated by measuring the OCV and by using Fig. 6 or [ 36 ]–[39].”
Battery-Management System (BMS) and SOC Development for Electrical Vehicles (2011, background): “SOC is defined as the present capacity of the battery expressed in terms of its rated capacity [8], [11]–[14].”
State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF (2010, methodology): “In [33] and [34], the KF is employed to estimate some physical quantities, which have direct effects on the SOC.”
Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis (2018, background): “Theoretically, the dynamic characteristic of a battery can be accurately described by the ECM with infinite resistor-capacitor (RC) networks [47].”
Lithium-Ion Battery Pack State of Charge and State of Energy Estimation Algorithms Using a Hardware-in-the-Loop Validation (2017, background): “The improved KFs have been proposed to design the robust estimators for battery states in handling modeling errors and noise uncertainty [7], [13]–[15].”
State of charge estimation of a lithium ion cell based on a temperature dependent and electrolyte enhanced single particle model (2015, methodology): “[13] report a reduced order extended Kalman filter based on equivalent circuit model.”
Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing (2012, methodology): “Slower transients arising from mass transport effects are assigned to the RC component, and the elements of that component are accordingly described as the diffusion resistance RDiff and diffusion capacitance CDiff [23], [24].”