Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

R Xiong, Y Pan, W Shen, H Li, F Sun - Renewable and Sustainable Energy …, 2020 - Elsevier
Lithium-ion batteries decay every time as it is used. Aging-induced degradation is unlikely to
be eliminated. The aging mechanisms of lithium-ion batteries are manifold and complicated …

3D printed flexible strain sensors: from printing to devices and signals

H Liu, H Zhang, W Han, H Lin, R Li, J Zhu… - Advanced …, 2021 - Wiley Online Library
The revolutionary and pioneering advancements of flexible electronics provide the
boundless potential to become one of the leading trends in the exploitation of wearable …

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …

Key challenges for a large-scale development of battery electric vehicles: A comprehensive review

BE Lebrouhi, Y Khattari, B Lamrani, M Maaroufi… - Journal of Energy …, 2021 - Elsevier
Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …

Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications

Q Yu, C Wang, J Li, R Xiong, M Pecht - ETransportation, 2023 - Elsevier
Lithium-ion batteries are the ideal energy storage device for numerous portable and energy
storage applications. Efficient fault diagnosis methods become urgent to address safety …

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

R Xiong, W Sun, Q Yu, F Sun - Applied Energy, 2020 - Elsevier
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 …

Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives

X Lai, C Jin, W Yi, X Han, X Feng, Y Zheng… - Energy Storage …, 2021 - Elsevier
Safety concerns are the main obstacle to large-scale application of lithium-ion batteries
(LIBs), and thus, improving the safety of LIBs is receiving global attention. Within battery …

An intelligent fault diagnosis method for lithium battery systems based on grid search support vector machine

L Yao, Z Fang, Y Xiao, J Hou, Z Fu - Energy, 2021 - Elsevier
For the safe operation of the electric vehicle, it is critical to quickly detect the safety state and
accurately identify the fault degree in battery packs. This article proposes a novel intelligent …

Investigation on overcharge-caused thermal runaway of lithium-ion batteries in real-world electric vehicles

J Hong, Z Wang, C Qu, Y Zhou, T Shan, J Zhang… - Applied Energy, 2022 - Elsevier
Overcharge is one of the most typical triggers leading to battery thermal runaway during real-
world vehicular operation. An in-depth exploration of the real-scenario-oriented failure …

A review of lithium-ion battery fault diagnostic algorithms: Current progress and future challenges

MK Tran, M Fowler - Algorithms, 2020 - mdpi.com
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 …