State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model

By Hongwen He, Rui Xiong, Xiaowei Zhang, Fengchun Sun, JinXin Fan. IEEE Transactions on Vehicular Technology, 2011

750 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/aa04cab00120431b6607122bc41f13322ceb4f96

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In Automotive Engineering

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Citations in the corpus

Review of Electric Vehicle Charging Technologies, Standards, Architectures, and Converter Configurations (2023, methodology): “In [93], a novel adaptive Kalman filter algorithm is designed for the SoC estimation of Li-ion batteries used in EVs.”
State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (2017, methodology): “Similarly, the work in [16] presents a Thevenin circuit model based technique that uses an adaptive EKF to estimate SOC.”
State of Charge Estimation for Lithium-Ion Battery Based on Nonlinear Observer: An H∞ Method (2017, methodology): “To overcome the drawback of the ordinary and extended KF requiring prior knowledge of model and measurement noise covariances, the adaptive KF is applied to improve the convergence and robustness [2,15].”
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, background): “[189] to avoid filter divergence and improve stability.”
The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer (2014, background): “I. INTRODUCTION E LECTRIC drive vehicles (EDVs), including battery elec-tric vehicles (BEVs), hybrid electric vehicles (HEVs), and plug-in hybrid electric vehicles (PHEVs), are playing increasingly more important roles worldwide.”
Time-Domain Parameter Extraction Method for Thévenin-Equivalent Circuit Battery Models (2014, background): “After the balancing was finished, the BMS was disabled, i.e., the balancing was set off and the BMS was not able to control the charger, the load, nor the contactors.”
Improved SOC estimation of lithium-ion batteries with novel SOC-OCV curve estimation method using equivalent circuit model (2019, background): “The OCV can be obtained through experimentation [11] [12] [13].”
Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach (2013, methodology): “The filter has been applied extensively in the field of state estimation, parameter estimation, and dual estimation [6].”