State of charge estimation with the adaptive unscented Kalman filter based on an accurate equivalent circuit model
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
State of charge estimation with the adaptive unscented Kalman filter based on an accurate equivalent circuit model
Authors
Keywords
State of charge estimation, n-RC equivalent circuit model, Adaptive unscented Kalman filter
Journal
Journal of Energy Storage
Volume 41, Issue -, Pages 102840
Publisher
Elsevier BV
Online
2021-06-20
DOI
10.1016/j.est.2021.102840
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter
- (2020) Yong Tian et al. APPLIED ENERGY
- A Novel Battery State of Charge Estimation Based on the Joint Unscented Kalman Filter and Support Vector Machine Algorithms
- (2020) Fei Xie et al. International Journal of Electrochemical Science
- Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries
- (2019) Zonghai Chen et al. JOURNAL OF POWER SOURCES
- China Electricity Generation Greenhouse Gas Emission Intensity in 2030: Implications for Electric Vehicles
- (2019) Wei Shen et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Online state of charge estimation of Li-ion battery based on an improved unscented Kalman filter approach
- (2019) Zewang Chen et al. APPLIED MATHEMATICAL MODELLING
- An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect
- (2019) Shun-Li Wang et al. JOURNAL OF POWER SOURCES
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
- (2018) Rui Xiong et al. IEEE Access
- Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles
- (2018) Rui Xiong et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
- (2018) M.S. Hossain Lipu et al. JOURNAL OF CLEANER PRODUCTION
- Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator
- (2017) Yujie Wang et al. ENERGY
- State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model
- (2017) Haihong Pan et al. ENERGY
- State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
- (2017) Hicham Chaoui et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Impact of the electric vehicles on the air pollution from a highway
- (2016) Enrico Ferrero et al. APPLIED ENERGY
- Open-Circuit Voltage-Based State of Charge Estimation of Lithium-ion Battery Using Dual Neural Network Fusion Battery Model
- (2016) Xuanju Dang et al. ELECTROCHIMICA ACTA
- Integration issues of lithium-ion battery into electric vehicles battery pack
- (2016) Lip Huat Saw et al. JOURNAL OF CLEANER PRODUCTION
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
- (2015) Meru A. Patil et al. APPLIED ENERGY
- A Bayesian approach for Li-Ion battery capacity fade modeling and cycles to failure prognostics
- (2015) Jian Guo et al. JOURNAL OF POWER SOURCES
- A modified model based state of charge estimation of power lithium-ion batteries using unscented Kalman filter
- (2014) Yong Tian et al. JOURNAL OF POWER SOURCES
- A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles
- (2013) Rui Xiong et al. APPLIED ENERGY
- Battery state-of-charge estimator using the SVM technique
- (2013) J.C. Álvarez Antón et al. APPLIED MATHEMATICAL MODELLING
- Comparison Study on the Battery SoC Estimation with EKF and UKF Algorithms
- (2013) Hongwen He et al. Energies
- Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
- (2013) Habiballah Rahimi-Eichi et al. IEEE Industrial Electronics Magazine
- Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application
- (2012) Wladislaw Waag et al. APPLIED ENERGY
- Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach
- (2012) Rui Xiong et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering
- (2012) Zheng Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Kalman filtering state of charge estimation for battery management system based on a stochastic fuzzy neural network battery model
- (2011) Long Xu et al. ENERGY CONVERSION AND MANAGEMENT
- State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
- (2011) Hongwen He et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now