☆ 4.7 Article

Fault isolating and grading for li-ion battery packs based on pseudo images and convolutional neural network

ENERGY (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Electrical & Electronic

Multi-fault Detection and Isolation for Lithium-Ion Battery Systems

Kai Zhang et al.

Summary: This article proposes an online multifault diagnosis strategy based on the fusion of model-based and entropy methods to effectively detect and isolate multiple types of faults in the lithium-ion battery system. The proposed method demonstrates good reliability and robustness.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles

Naifeng Gan et al.

Summary: This article proposes a two-layer overdischarge fault diagnosis strategy based on machine learning for detecting and preventing overdischarge in lithium-ion batteries for electric vehicles. The method involves comparing battery voltage with cutoff voltage and utilizing a detection approach based on the eXtreme Gradient Boosting algorithm.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2022)

Add to Collection

Review Green & Sustainable Science & Technology

Prognostics and health management of Lithium-ion battery using deep learning methods: A review

Ying Zhang et al.

Summary: This paper summarizes the applications of deep learning-based PHM of Li-ion battery, including data acquisition, deep learning methods, and performance evaluation. It also discusses the prospects of using deep learning techniques in the PHM of Li-ion battery.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

A Soft Short-Circuit Diagnosis Method for Lithium-Ion Battery Packs in Electric Vehicles

Yiming Xu et al.

Summary: This article proposes a battery fault diagnosis method that achieves joint soft short-circuit fault detection and estimation. It constructs a nonlinear observer to estimate the battery's state of charge and soft short-circuit current, and develops a diagnosis algorithm to detect soft short-circuit faults.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2022)

Add to Collection

Article Energy & Fuels

Micro-fault diagnosis of electric vehicle batteries based on the evolution of battery consistency relative position

Chun Chang et al.

Summary: This paper proposes a micro-fault diagnosis method based on the evolution of the consistent relative position of cells within Li-ion battery packs. The method accurately and effectively locates faulty cells by quantitatively evaluating the consistency relative position and using an anomaly detection algorithm. The results show that the method can identify micro-faulted batteries even without abnormal voltage fluctuations or significant inconsistencies.

JOURNAL OF ENERGY STORAGE (2022)

Add to Collection

Review Chemistry, Physical

The Application of Data-Driven Methods and Physics-Based Learning for Improving Battery Safety

Donal P. Finegan et al.

Summary: The article discusses how to improve the accuracy of battery failure prediction by designing experiments, processing data, applying data prediction methods, and using physics knowledge to reduce the number of experiments and costs.

JOULE (2021)

Add to Collection

Article Chemistry, Physical

Li-ion battery technology for grid application

Daiwon Choi et al.

Summary: This review provides a comprehensive overview of the current status and challenges of Li-ion battery energy storage systems for grid application, emphasizing their key role in the future grid system and the need for further research and improvements.

JOURNAL OF POWER SOURCES (2021)

Add to Collection

Review Green & Sustainable Science & Technology

Mitigation strategies for Li-ion battery thermal runaway: A review

Bin Xu et al.

Summary: This article reviews safety strategies for Li-ion batteries, including various methods like positive temperature coefficient thermistors, current interrupt devices, passive protection designs in battery packages, and battery management systems. The trigger conditions, protection mechanisms, drawbacks, and applications of representative strategies are discussed, as well as potential future risk mitigation approaches.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)

Add to Collection

Article Nuclear Science & Technology

A data-driven adaptive fault diagnosis methodology for nuclear power systems based on NSGAII-CNN

Chen He et al.

Summary: This paper proposes a data-driven adaptive fault diagnosis approach NSGAII-CNN, which maps time-series data into two-dimensional images and utilizes NSGAII-CNN algorithm to enhance the accuracy and efficiency of fault diagnosis, showing significant advantages compared to classical CNN architecture models.

ANNALS OF NUCLEAR ENERGY (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Structural Analysis in Reconfigurable Battery Systems for Active Fault Diagnosis

Michael Schmid et al.

Summary: This article discusses the differences and advantages between conventional automotive battery systems and reconfigurable battery systems, focusing on fault isolation methods and algorithms in RBS. By experiment and structural analysis, a sensor set with optimal fault isolation properties was found, and a novel algorithm for efficiently calculating minimal structurally overdetermined subsystems for fault diagnosis was proposed.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Quantified Assessment of Internal Short-Circuit State for 18 650 Batteries Using an Extreme Learning Machine-Based Pseudo-Distributed Model

Jiale Xie et al.

Summary: This research proposes a method for diagnosing battery internal short circuit using thermal behaviors. By integrating thermal effects and utilizing a multiclass relevance vector machine to assess short circuit intensity, ISC faults can be effectively recognized.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)

Add to Collection

Article Thermodynamics

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

Changwen Zheng et al.

ENERGY (2020)

Add to Collection

Article Chemistry, Physical

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

Yunlong Shang et al.

JOURNAL OF POWER SOURCES (2020)

Add to Collection

Article Chemistry, Physical

A novel intelligent method for fault diagnosis of electric vehicle battery system based on wavelet neural network

Lei Yao et al.

JOURNAL OF POWER SOURCES (2020)

Add to Collection

Article Energy & Fuels

Lithium-ion batteries fault diagnostic for electric vehicles using sample entropy analysis method

Xiaoyu Li et al.

JOURNAL OF ENERGY STORAGE (2020)

Add to Collection

Article Energy & Fuels

Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells

Xiangdong Kong et al.

JOURNAL OF ENERGY STORAGE (2020)

Add to Collection

Review Instruments & Instrumentation

Progress and trends in fault diagnosis for renewable and sustainable energy system based on infrared thermography: A review

Bolun Du et al.

INFRARED PHYSICS & TECHNOLOGY (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections

Yue Pan et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Add to Collection

Review Engineering, Electrical & Electronic

Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures

Xiaosong Hu et al.

IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2020)

Add to Collection

Article Energy & Fuels

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

Rui Xiong et al.

APPLIED ENERGY (2020)

Add to Collection

Review Green & Sustainable Science & Technology

Propagation mechanisms and diagnosis of parameter inconsistency within Li-Ion battery packs

Fei Feng et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)

Add to Collection

Article Energy & Fuels

Intelligent simultaneous fault diagnosis for solid oxide fuel cell system based on deep learning

Zehan Zhang et al.

APPLIED ENERGY (2019)

Add to Collection

Review Energy & Fuels

A review on the key issues of the lithium ion battery degradation among the whole life cycle

Xuebing Han et al.

ETRANSPORTATION (2019)

Add to Collection

Article Energy & Fuels

Temperature rise prediction of lithium-ion battery suffering external short circuit for all-climate electric vehicles application

Zeyu Chen et al.

APPLIED ENERGY (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Yongzhi Zhang et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)

Add to Collection

Article Green & Sustainable Science & Technology

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

Ruixin Yang et al.

JOURNAL OF CLEANER PRODUCTION (2018)

Add to Collection

Article Chemistry, Physical

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

Xiangdong Kong et al.

JOURNAL OF POWER SOURCES (2018)

Add to Collection

Article Energy & Fuels

Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods

Yang Zhao et al.

APPLIED ENERGY (2017)

Add to Collection

Article Energy & Fuels

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

Zeyu Chen et al.

APPLIED ENERGY (2016)

Add to Collection

© Peeref 2019-2024. All rights reserved.