A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
Authors
Keywords
-
Journal
APPLIED ENERGY
Volume 322, Issue -, Pages 119502
Publisher
Elsevier BV
Online
2022-06-25
DOI
10.1016/j.apenergy.2022.119502
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Online quantitative diagnosis of internal short circuit for lithium-ion batteries using incremental capacity method
- (2022) Dongdong Qiao et al. ENERGY
- A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
- (2022) Yizhou Zhang et al. JOURNAL OF POWER SOURCES
- Prognostics and health management of Lithium-ion battery using deep learning methods: A review
- (2022) Ying Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions
- (2022) Clara Bertinelli Salucci et al. Journal of Energy Storage
- Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning
- (2021) Yihuan Li et al. APPLIED ENERGY
- Investigation of capacity fade for 18650-type lithium-ion batteries cycled in different state of charge (SoC) ranges
- (2021) Jiangong Zhu et al. JOURNAL OF POWER SOURCES
- A Novel On-Board Electrochemical Impedance Spectroscopy System for Real-Time Battery Impedance Estimation
- (2021) Markos Koseoglou et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
- (2021) Sijia Yang et al. Journal of Cleaner Production
- Rapid prediction of the state of health of retired power batteries based on electrochemical impedance spectroscopy
- (2021) Fan Luo et al. Journal of Energy Storage
- Development of a battery real-time state of health diagnosis based on fast impedance measurements
- (2021) Edoardo Locorotondo et al. Journal of Energy Storage
- A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
- (2021) Xin Sui et al. APPLIED ENERGY
- Lithium plating detection using dynamic electrochemical impedance spectroscopy in lithium-ion batteries
- (2021) Markos Koseoglou et al. JOURNAL OF POWER SOURCES
- A phenomenological ageing study of lithium-ion batteries under dynamic loads
- (2021) Ivo Horstkötter et al. Journal of Energy Storage
- Estimating battery state of health using electrochemical impedance spectroscopy and the relaxation effect
- (2021) Marvin Messing et al. Journal of Energy Storage
- A Hybrid Drive Method for Capacity Prediction of Lithium-Ion Batteries
- (2021) Tingting Xu et al. IEEE Transactions on Transportation Electrification
- A Fast Impedance Calculation-Based Battery State-of-Health Estimation Method
- (2021) Yumeng Fu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
- (2020) Yunwei Zhang et al. Nature Communications
- Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
- (2020) Bo Jiang et al. APPLIED ENERGY
- A Comparative Study of Fractional Order Models on State of Charge Estimation for Lithium Ion Batteries
- (2020) Jinpeng Tian et al. Chinese Journal of Mechanical Engineering
- Multi-time-scale framework for prognostic health condition of lithium battery using modified Gaussian process regression and nonlinear regression
- (2020) Xiaoyu Li et al. JOURNAL OF POWER SOURCES
- An evaluation study of different modelling techniques for calendar ageing prediction of lithium-ion batteries
- (2020) Kailong Liu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives
- (2020) Rui Xiong et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
- (2020) Yujie Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- State of charge estimation for lithium-ion battery based on Gaussian process regression with deep recurrent kernel
- (2020) Fei Xiao et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends
- (2020) M.S. Hossain Lipu et al. JOURNAL OF CLEANER PRODUCTION
- Online capacity estimation of lithium-ion batteries with deep long short-term memory networks
- (2020) Weihan Li et al. JOURNAL OF POWER SOURCES
- A novel deep learning framework for state of health estimation of lithium-ion battery
- (2020) Yaxiang Fan et al. Journal of Energy Storage
- On the feature selection for battery state of health estimation based on charging–discharging profiles
- (2020) Yuanyuan Li et al. Journal of Energy Storage
- Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
- (2020) Haifeng Dai et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Novel System for Measuring Alternating Current Impedance Spectra of Series-Connected Lithium-Ion Batteries With a High-Power Dual Active Bridge Converter and Distributed Sampling Units
- (2020) Xueyuan Wang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries
- (2020) Zhongwei Deng et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- New fast charging method of lithium-ion batteries based on a reduced order electrochemical model considering side reaction
- (2019) Yilin Yin et al. JOURNAL OF POWER SOURCES
- Joint estimation of lithium-ion battery state of charge and capacity within an adaptive variable multi-timescale framework considering current measurement offset
- (2019) Bo Jiang et al. APPLIED ENERGY
- A deep learning method for online capacity estimation of lithium-ion batteries
- (2019) Sheng Shen et al. Journal of Energy Storage
- Investigation of lithium-ion battery degradation mechanisms by combining differential voltage analysis and alternating current impedance
- (2019) Jiangong Zhu et al. JOURNAL OF POWER SOURCES
- Lithium-ion battery temperature on-line estimation based on fast impedance calculation
- (2019) Xueyuan Wang et al. Journal of Energy Storage
- An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application
- (2018) Rui Xiong et al. APPLIED ENERGY
- A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
- (2018) Duo Yang et al. JOURNAL OF POWER SOURCES
- Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries
- (2018) M. Schimpe et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Random forest regression for online capacity estimation of lithium-ion batteries
- (2018) Yi Li et al. APPLIED ENERGY
- A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems
- (2017) Carlos Pastor-Fernández et al. JOURNAL OF POWER SOURCES
- State-of-health estimation for the lithium-ion battery based on support vector regression
- (2017) Duo Yang et al. APPLIED ENERGY
- A new lithium-ion battery internal temperature on-line estimate method based on electrochemical impedance spectroscopy measurement
- (2015) J.G. Zhu et al. JOURNAL OF POWER SOURCES
- Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery
- (2014) Chao Hu et al. APPLIED ENERGY
- Li-ion battery capacity estimation: A geometrical approach
- (2014) Chen Lu et al. JOURNAL OF POWER SOURCES
- Remaining useful life prediction of lithium batteries in calendar ageing for automotive applications
- (2012) A. Eddahech et al. MICROELECTRONICS RELIABILITY
- Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. I. Experimental investigation
- (2011) D. Andre et al. JOURNAL OF POWER SOURCES
- Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling
- (2010) D. Andre et al. JOURNAL OF POWER SOURCES
- Parameter Estimation and Life Modeling of Lithium-Ion Cells
- (2008) Shriram Santhanagopalan et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now