End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation

A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries

(2021) Ming-Feng Ge et al.   MEASUREMENT

Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning

(2021) Yihuan Li et al.   APPLIED ENERGY

State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning

(2021) Yu Liu et al.   Journal of Energy Storage

Research on state of health prediction model for lithium batteries based on actual diverse data

(2021) Di Zhou et al.   ENERGY

A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

(2021) Xin Sui et al.   APPLIED ENERGY

Integrated framework for SOH estimation of lithium-ion batteries using multiphysics features

(2021) Seho Son et al.   ENERGY

A multi-scale state of health prediction framework of lithium-ion batteries considering the temperature variation during battery discharge

(2021) Jianfang Jia et al.   Journal of Energy Storage

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

(2020) Penghua Li et al.   JOURNAL OF POWER SOURCES

Deep transfer neural network using hybrid representations of domain discrepancy

(2020) Changsheng Lu et al.   NEUROCOMPUTING

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 hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

(2020) Jian Ma et al.   APPLIED ENERGY

Online capacity estimation of lithium-ion batteries with deep long short-term memory networks

(2020) Weihan Li et al.   JOURNAL OF POWER SOURCES

Multiple adversarial networks for unsupervised domain adaptation

(2020) Qiang Zhou et al.   KNOWLEDGE-BASED SYSTEMS

A novel deep learning framework for state of health estimation of lithium-ion battery

(2020) Yaxiang Fan et al.   Journal of Energy Storage

Online state-of-health estimation of lithium-ion battery based on dynamic parameter identification at multi timescale and support vector regression

(2020) Xiaojun Tan et al.   JOURNAL OF POWER SOURCES

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A deep learning method for online capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   Journal of Energy Storage

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   APPLIED ENERGY

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

Online monitoring of state of charge and capacity loss for vanadium redox flow battery based on autoregressive exogenous modeling

(2018) Zhongbao Wei et al.   JOURNAL OF POWER SOURCES

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

Enhancing the Lithium-ion battery life predictability using a hybrid method

(2018) Ling-Ling Li et al.   APPLIED SOFT COMPUTING

State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis

(2018) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

(2018) Rui Xiong et al.   JOURNAL OF POWER SOURCES

Language-Adversarial Transfer Learning for Low-Resource Speech Recognition

(2018) Jiangyan Yi et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Gaussian process regression for forecasting battery state of health

(2017) Robert R. Richardson et al.   JOURNAL OF POWER SOURCES

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

(2013) Wen Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

On minimum distribution discrepancy support vector machine for domain adaptation

(2012) Jianwen Tao et al.   PATTERN RECOGNITION

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING