Towards efficient state of charge estimation of lithium-ion batteries using canonical correlation analysis
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Towards efficient state of charge estimation of lithium-ion batteries using canonical correlation analysis
Authors
Keywords
-
Journal
ENERGY
Volume 254, Issue -, Pages 124415
Publisher
Elsevier BV
Online
2022-06-04
DOI
10.1016/j.energy.2022.124415
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Estimating State of Charge for xEV Batteries Using 1D Convolutional Neural Networks and Transfer Learning
- (2021) Arnab Bhattacharjee et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- 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
- State-of-charge estimation of lithium-ion batteries using LSTM and UKF
- (2020) Fangfang Yang et al. ENERGY
- A Method of State-of-Charge Estimation for EV Power Lithium-Ion Battery Using a Novel Adaptive Extended Kalman Filter
- (2020) Zhicheng He et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A rapid online calculation method for state of health of lithium-ion battery based on coulomb counting method and differential voltage analysis
- (2020) Shuzhi Zhang et al. JOURNAL OF POWER SOURCES
- A Survey on Canonical Correlation Analysis
- (2020) Xinghao Yang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm
- (2019) Molla S. Hossain Lipu et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries
- (2019) Chong Bian et al. ENERGY
- Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries
- (2018) Ephrem Chemali et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- The lithium-ion battery: State of the art and future perspectives
- (2018) Ghassan Zubi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- 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
- Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries
- (2016) Fangdan Zheng et al. APPLIED ENERGY
- A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm
- (2016) Cheng Lin et al. APPLIED ENERGY
- State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer
- (2016) Xiaopeng Tang et al. Energies
- Robust Adaptive Sliding-Mode Observer Using RBF Neural Network for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles
- (2016) Xiaopeng Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems
- (2015) Joaquín Klee Barillas et al. APPLIED ENERGY
- Investigation of path dependence in commercial lithium-ion cells for pure electric bus applications: Aging mechanism identification
- (2015) Zeyu Ma et al. JOURNAL OF POWER SOURCES
- Online state of charge and model parameters estimation of the LiFePO 4 battery in electric vehicles using multiple adaptive forgetting factors recursive least-squares
- (2015) Van-Huan Duong et al. JOURNAL OF POWER SOURCES
- A method for state-of-charge estimation of LiFePO 4 batteries at dynamic currents and temperatures using particle filter
- (2015) Yujie Wang et al. JOURNAL OF POWER SOURCES
- A new neural network model for the state-of-charge estimation in the battery degradation process
- (2014) LiuWang Kang et al. APPLIED ENERGY
- State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
- (2014) Wei He et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- State-of-charge estimation for battery management system using optimized support vector machine for regression
- (2014) J.N. Hu et al. JOURNAL OF POWER SOURCES
- A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles
- (2013) Xiaopeng Chen et al. JOURNAL OF POWER SOURCES
- 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
Add 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 NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started