Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg–Marquardt algorithm, and multiphase exponential regression model
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg–Marquardt algorithm, and multiphase exponential regression model
Authors
Keywords
-
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-06-04
DOI
10.1007/s00521-020-05031-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems
- (2018) Manoj Mathew et al. Energies
- State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
- (2018) Ephrem Chemali et al. JOURNAL OF POWER SOURCES
- State of health estimation of lithium-ion batteries based on the constant voltage charging curve
- (2018) Zengkai Wang et al. ENERGY
- An evolutionary framework for lithium-ion battery state of health estimation
- (2018) Lei Cai et al. JOURNAL OF POWER SOURCES
- Impact of Temperature and Discharge Rate on the Aging of a LiCoO 2 /LiNi 0.8 Co 0.15 Al 0.05 O 2 Lithium-Ion Pouch Cell
- (2017) Yao Wu et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Parameter Identification of Lithium-Ion Batteries Model to Predict Discharge Behaviors Using Heuristic Algorithm
- (2016) Jun Li et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Critical review of state of health estimation methods of Li-ion batteries for real applications
- (2016) M. Berecibar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Internal and External Temperature Monitoring of a Li-Ion Battery with Fiber Bragg Grating Sensors
- (2016) Susana Novais et al. SENSORS
- Effect of Temperature on the Aging rate of Li Ion Battery Operating above Room Temperature
- (2015) Feng Leng et al. Scientific Reports
- A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
- (2014) Selina S.Y. Ng et al. APPLIED ENERGY
- A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation
- (2014) Verena Klass et al. JOURNAL OF POWER SOURCES
- Temperature dependent ageing mechanisms in Lithium-ion batteries – A Post-Mortem study
- (2014) Thomas Waldmann et al. JOURNAL OF POWER SOURCES
- Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction
- (2013) Datong Liu et al. Energies
- Lithium secondary batteries working at very high temperature: Capacity fade and understanding of aging mechanisms
- (2013) Lucille Bodenes et al. JOURNAL OF POWER SOURCES
- Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
- (2013) Dong Wang et al. JOURNAL OF POWER SOURCES
- Using probability density function to evaluate the state of health of lithium-ion batteries
- (2013) Xuning Feng et al. JOURNAL OF POWER SOURCES
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
- (2013) Datong Liu et al. MICROELECTRONICS RELIABILITY
- Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm
- (2013) Datong Liu et al. NEURAL COMPUTING & APPLICATIONS
- Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles
- (2012) D. Andre et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Estimation of Battery State of Health Using Probabilistic Neural Network
- (2012) Ho-Ta Lin et al. IEEE Transactions on Industrial Informatics
- Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks
- (2012) Akram Eddahech et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries
- (2012) Dave Andre et al. JOURNAL OF POWER SOURCES
- Effect of Discharge Cutoff Voltage on Reversibility of Lithium/Sulfur Batteries with LiNO3-Contained Electrolyte
- (2012) Sheng S. Zhang JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
- (2012) Qiang Miao et al. MICROELECTRONICS RELIABILITY
- Intelligent prognostics for battery health monitoring based on sample entropy
- (2011) Achmad Widodo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Complementary Cooperation Algorithm Based on DEKF Combined With Pattern Recognition for SOC/Capacity Estimation and SOH Prediction
- (2011) Jonghoon Kim et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
- (2011) Wei He et al. JOURNAL OF POWER SOURCES
- Identification of multiple-input single-output Hammerstein models using Bezier curves and Bernstein polynomials
- (2010) Mohamadreza Ahmadi et al. APPLIED MATHEMATICAL MODELLING
- State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF
- (2010) Mohammad Charkhgard et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
- (2010) Jürgen Remmlinger et al. JOURNAL OF POWER SOURCES
- Prognostics in Battery Health Management
- (2008) Kai Goebel et al. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now