A review on thermal runaway warning technology for lithium-ion batteries

D Hu, S Huang, Z Wen, X Gu, J Lu - Renewable and Sustainable Energy …, 2024 - Elsevier
Lithium-ion batteries occupy a place in the field of transportation and energy storage due to
their high-capacity density and environmental friendliness. However, thermal runaway …

Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data

J Yao, T Han - Energy, 2023 - Elsevier
Accurate estimation of lithium-ion battery capacity is crucial for ensuring its safety and
reliability. While data-driven modelling is a common approach for capacity estimation …

[HTML][HTML] Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU

C Zhang, L Luo, Z Yang, S Zhao, Y He, X Wang… - Green Energy and …, 2023 - Elsevier
In intelligent lithium-ion battery management, the state of health (SOH) of battery is essential
for the batteries' running in electric vehicles. Popularly, the battery SOH is estimated by …

State of health estimation of lithium-ion batteries based on modified flower pollination algorithm-temporal convolutional network

H Zhang, J Gao, L Kang, Y Zhang, L Wang, K Wang - Energy, 2023 - Elsevier
Lithium-ion batteries (LIBs) need to maintain high energy efficiency and power level in
several application scenario. Accurate state of health (SOH) forecast is essential for …

State of health estimation of lithium-ion batteries based on multi-health features extraction and improved long short-term memory neural network

S Peng, Y Sun, D Liu, Q Yu, J Kan, M Pecht - Energy, 2023 - Elsevier
Accurate state of health estimation of lithium-ion batteries is essential to enhance the
reliability and safety of a battery system. However, the estimation accuracy based on a data …

Lithium battery prognostics and health management for electric vehicle application–A perspective review

R Kumar, K Das - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
Lithium-ion batteries exhibit a dynamic electrochemical system that experiences challenges
such as aging and degradation over time. The challenges vary under operational and …

State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism

Y Jiang, Y Chen, F Yang, W Peng - Journal of Power Sources, 2023 - Elsevier
Accurate state of health (SOH) estimation is significantly important to ensure the safe and
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …

Voltage profile reconstruction and state of health estimation for lithium-ion batteries under dynamic working conditions

X Lai, Y Yao, X Tang, Y Zheng, Y Zhou, Y Sun, F Gao - Energy, 2023 - Elsevier
The state of health (SOH) of batteries is an important but unmeasurable parameter closely
related to battery safety and durability. However, most existing SOH estimation strategies …

Comparative analysis for commercial li-ion batteries degradation using the distribution of relaxation time method based on electrochemical impedance spectroscopy

R He, Y He, W **e, B Guo, S Yang - Energy, 2023 - Elsevier
As a non-destructive method for characterizing battery dynamic behavior, electrochemical
impedance spectroscopy (EIS) is becoming increasingly important to analyze electrode …

State of health estimation for lithium-ion batteries based on two-stage features extraction and gradient boosting decision tree

R Pan, T Liu, W Huang, Y Wang, D Yang, J Chen - Energy, 2023 - Elsevier
To ensure the stable, reliable, and safe operation of lithium-ion batteries, the state of health
(SOH) serves as a crucial basis for battery safety monitoring and operational maintenance …