Research progress in fault detection of battery systems: a review
Numerous explorations have been made with the goal of achieving “carbon neutrality.”
Among them, lithium-ion batteries are an effective and efficient way to achieve this goal …
Among them, lithium-ion batteries are an effective and efficient way to achieve this goal …
Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles
Due to the limited capacity and voltage of single battery cell, the battery system for electric
vehicles often consists of hundreds or thousands of single cells in series and parallel …
vehicles often consists of hundreds or thousands of single cells in series and parallel …
Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures
Lithium (Li)-ion batteries have become the mainstream energy storage solution for many
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …
applications, such as electric vehicles (EVs) and smart grids. However, various faults in a Li …
A review of second-life lithium-ion batteries for stationary energy storage applications
The large-scale retirement of electric vehicle traction batteries poses a huge challenge to
environmental protection and resource recovery since the batteries are usually replaced …
environmental protection and resource recovery since the batteries are usually replaced …
[HTML][HTML] Implementation for a cloud battery management system based on the CHAIN framework
S Yang, Z Zhang, R Cao, M Wang, H Cheng, L Zhang… - Energy and AI, 2021 - Elsevier
An intelligent battery management system is a crucial enabler for energy storage systems
with high power output, increased safety and long lifetimes. With recent developments in …
with high power output, increased safety and long lifetimes. With recent developments in …
A review of lithium-ion battery fault diagnostic algorithms: Current progress and future challenges
The usage of Lithium-ion (Li-ion) batteries has increased significantly in recent years due to
their long lifespan, high energy density, high power density, and environmental benefits …
their long lifespan, high energy density, high power density, and environmental benefits …
A data-driven method for battery charging capacity abnormality diagnosis in electric vehicle applications
Enabling charging capacity abnormality diagnosis is essential for ensuring battery operation
safety in electric vehicle (EV) applications. In this article, a data-driven method is proposed …
safety in electric vehicle (EV) applications. In this article, a data-driven method is proposed …
Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods
This paper presents a novel fault diagnosis method for battery systems in electric vehicles
based on big data statistical methods. According to machine learning algorithm and 3σ multi …
based on big data statistical methods. According to machine learning algorithm and 3σ multi …
A multi-fault diagnosis method based on modified Sample Entropy for lithium-ion battery strings
The conventional fault-diagnosis methods are difficult to detect the battery faults in the early
stages without obvious battery abnormality because lithium-ion batteries are complex …
stages without obvious battery abnormality because lithium-ion batteries are complex …
Data-driven fault diagnosis of lithium-ion battery overdischarge in electric vehicles
N Gan, Z Sun, Z Zhang, S Xu, P Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The overdischarge can significantly degrade a lithium-ion (Li-ion) battery's lifetime.
Therefore, it is important to detect the overdischarge and prevent severe damage of the Li …
Therefore, it is important to detect the overdischarge and prevent severe damage of the Li …