标题
Li-ion battery prognostic and health management through an indirect hybrid model
作者
关键词
Prognostic and health management, Relevance vector machine, Grey wolf optimizer, Complementary ensemble empirical mode decomposition, Long and short-term memory network, Feedforward neural network
出版物
Journal of Energy Storage
Volume 42, Issue -, Pages 102990
出版商
Elsevier BV
发表日期
2021-08-08
DOI
10.1016/j.est.2021.102990
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement
- (2021) Zhongbao Wei et al. JOURNAL OF POWER SOURCES
- State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity
- (2020) Qingxia Yang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Li‐ion battery state of health estimation through Gaussian process regression with Thevenin model
- (2020) Zhiqiang Lyu et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Aging modes analysis and physical parameter identification based on a simplified electrochemical model for lithium-ion batteries
- (2020) Junfu Li et al. Journal of Energy Storage
- Battery state-of-health estimation based on a metabolic extreme learning machine combining degradation state model and error compensation
- (2020) Lin Chen et al. ENERGY
- A partial charging curve-based data-fusion-model method for capacity estimation of Li-Ion battery
- (2020) Zhiqiang Lyu et al. JOURNAL OF POWER SOURCES
- Prediction of remaining useful life for a composite electrode lithium ion battery cell using an electrochemical model to estimate the state of health
- (2020) Kaveh Khodadadi Sadabadi et al. JOURNAL OF POWER SOURCES
- A Data-Driven Predictive Prognostic Model for Lithium-Ion Batteries based on a Deep Learning Algorithm
- (2019) Phattara Khumprom et al. Energies
- The defect of the Grey Wolf optimization algorithm and its verification method
- (2019) Peifeng Niu et al. KNOWLEDGE-BASED SYSTEMS
- Remaining useful life prediction of lithium‐ion battery based on an improved particle filter algorithm
- (2019) Guo Xie et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression
- (2019) Xiaoyu Li et al. ENERGY
- Remaining Useful Life Prediction of Battery Using a Novel Indicator and Framework With Fractional Grey Model and Unscented Particle Filter
- (2019) Lin Chen et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Novel battery state-of-health online estimation method using multiple health indicators and an extreme learning machine
- (2018) Haihong Pan et al. ENERGY
- Fractional order model based incremental capacity analysis for degradation state recognition of lithium-ion batteries
- (2018) Jinpeng Tian et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Lithium-ion battery remaining useful life prediction with Box-Cox transformation and Monte Carlo simulation
- (2018) Yongzhi Zhang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression
- (2018) Jingwen Wei et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- On-line life cycle health assessment for lithium-ion battery in electric vehicles
- (2018) Datong Liu et al. JOURNAL OF CLEANER PRODUCTION
- 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
- A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
- (2018) Lin Chen et al. MEASUREMENT
- Design and Implementation of SOC Prediction for a Li-Ion Battery Pack in an Electric Car with an Embedded System
- (2017) Emel Soylu et al. Entropy
- Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC
- (2017) Xin Zhang et al. MICROELECTRONICS RELIABILITY
- Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach
- (2016) Gae-won You et al. APPLIED ENERGY
- Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter
- (2016) Dong Wang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Lithium-ion batteries remaining useful life prediction based on a mixture of empirical mode decomposition and ARIMA model
- (2016) Yapeng Zhou et al. MICROELECTRONICS RELIABILITY
- Prognostics of lithium-ion batteries based on different dimensional state equations in the particle filtering method
- (2016) Xiaohong Su et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now