Connection fault diagnosis for lithium-ion battery packs in electric vehicles based on mechanical vibration signals and broad belief network

Current sensor fault diagnosis method based on an improved equivalent circuit battery model

(2022) Quanqing Yu et al.   APPLIED ENERGY

A novel dual time-scale voltage sensor fault detection and isolation method for series-connected lithium-ion battery pack

(2022) Shuzhi Zhang et al.   APPLIED ENERGY

An exploration of mutual information based on emotion–cause pair extraction

(2022) Guimin Hu et al.   KNOWLEDGE-BASED SYSTEMS

Circularity and life cycle environmental impact assessment of batteries for electric vehicles: Industrial challenges, best practices and research guidelines

(2022) Aitor Picatoste et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Thermal runaway and fire of electric vehicle lithium-ion battery and contamination of infrastructure facility

(2022) Marcel Held et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel battery abnormality detection method using interpretable Autoencoder

(2022) Xiang Zhang et al.   APPLIED ENERGY

Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data

(2021) Lulu Jiang et al.   ENERGY

Network pruning using sparse learning and genetic algorithm

(2020) Zhenyu Wang et al.   NEUROCOMPUTING

Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles

(2020) Rui Xiong et al.   APPLIED ENERGY

An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine

(2020) Lei Yao et al.   ENERGY

Optimal sensor placement using data-driven sparse learning method with application to pattern classification of hypersonic inlet

(2020) Bing Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Broad Learning System Based on Maximum Correntropy Criterion

(2020) Yunfei Zheng et al.   IEEE Transactions on Neural Networks and Learning Systems

Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks

(2020) Jin Liu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Deep Learning Versus Traditional Solutions for Group Trajectory Outliers

(2020) Asma Belhadi et al.   IEEE Transactions on Cybernetics

Fault diagnosis of voltage sensor and current sensor for lithium-ion battery pack using hybrid system modeling and unscented particle filter

(2019) Changwen Zheng et al.   ENERGY

A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles

(2019) Rui Xiong et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Online Fault Diagnosis of External Short Circuit for Lithium-Ion Battery Pack

(2019) Rui Xiong et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A multi-fault diagnosis method based on modified Sample Entropy for lithium-ion battery strings

(2019) Yunlong Shang et al.   JOURNAL OF POWER SOURCES

Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability

(2019) Wanke Yu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines

(2019) Gongming Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

A fractional-order model-based battery external short circuit fault diagnosis approach for all-climate electric vehicles application

(2018) Ruixin Yang et al.   JOURNAL OF CLEANER PRODUCTION

Fault diagnosis and quantitative analysis of micro-short circuits for lithium-ion batteries in battery packs

(2018) Xiangdong Kong et al.   JOURNAL OF POWER SOURCES

A review of international abuse testing standards and regulations for lithium ion batteries in electric and hybrid electric vehicles

(2018) V. Ruiz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

(2018) C. L. Philip Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Fault detection of the connection of lithium-ion power batteries in series for electric vehicles based on statistical analysis

(2018) Mina Ma et al.   ENERGY

Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles

(2016) Zeyu Chen et al.   APPLIED ENERGY

Discrete wavelet transform-based denoising technique for advanced state-of-charge estimator of a lithium-ion battery in electric vehicles

(2015) Seongjun Lee et al.   ENERGY

Adaptive Nonlinear Model-Based Fault Diagnosis of Li-Ion Batteries

(2015) Amardeep Sidhu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault detection of the connection of lithium-ion power batteries based on entropy for electric vehicles

(2015) Lei Yao et al.   JOURNAL OF POWER SOURCES

Internal short circuit detection for battery pack using equivalent parameter and consistency method

(2015) Minggao Ouyang et al.   JOURNAL OF POWER SOURCES