A review on the liquid cooling thermal management system of lithium-ion batteries

C Wu, Y Sun, H Tang, S Zhang, W Yuan, L Zhu, Y Tang - Applied Energy, 2024 - Elsevier
With the rapid progress of the new power automotive industry, the requirements for vehicle
range and charging ratio have gradually increased. With the high-speed cycling of batteries …

[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods

W Guo, Z Sun, SB Vilsen, J Meng, DI Stroe - Journal of Energy Storage, 2022 - Elsevier
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …

A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on …

C Wang, S Wang, J Zhou, J Qiao, X Yang… - Journal of Energy Storage, 2023 - Elsevier
Abstract State-of-charge (SOC) and state-of-health (SOH) play a key role in the safety and
reliability of batteries. To improve the real-time estimation accuracy of battery state, a novel …

AI enabled fast charging of lithium-ion batteries of electric vehicles during their life cycle: review, challenges and perspectives

D Sun, D Guo, Y Lu, J Chen, Y Lu, X Han… - Energy & …, 2024 - pubs.rsc.org
Gradually replacing conventional fuel vehicles with electric vehicles (EVs) is a crucial step
towards achieving energy saving and emission reduction in the transportation sector. The …

[HTML][HTML] The heating triangle: A quantitative review of self-heating methods for lithium-ion batteries at low temperatures

H Ruan, JV Barreras, M Steinhardt, A Jossen… - Journal of Power …, 2023 - Elsevier
Lithium-ion batteries at low temperatures have slow recharge times alongside reduced
available power and energy. Battery heating is a viable way to address this issue, and self …

[HTML][HTML] Early prediction of battery remaining useful life using CNN-XGBoost model and Coati optimization algorithm

V Safavi, AM Vaniar, N Bazmohammadi… - Journal of Energy …, 2024 - Elsevier
Abstract Lithium-ion (Li-ion) batteries are essential for modern power systems but suffer from
performance degradation over time. Accurate prediction of the remaining useful life (RUL) of …

Embedded real-time fractional-order equivalent circuit model for internal resistance estimation of lithium-ion cells

Y Bensaad, F Friedrichs, T Baumhöfer, M Eswein… - Journal of Energy …, 2023 - Elsevier
This paper introduces a new on-board capable method for model-based estimation of the
internal resistance of lithium-ion cells. The method relates to a fractional-order electrical …

[HTML][HTML] Online adaptive anode potential-controlled fast charging of lithium-ion cells using a validated electrochemical model-based virtual reference electrode

FF Oehler, X Deuschl, K Nürnberger, A Graule… - Journal of Power …, 2024 - Elsevier
Optimal utilization of the safe operating area of lithium-ion battery cells is fundamental to
achieving peak performance. Pushing the currents close to the intrinsic electrochemical cell …

[HTML][HTML] Diffusion-aware voltage source: An equivalent circuit network to resolve lithium concentration gradients in active particles

M Zhuo, N Kirkaldy, T Maull, T Engstrom, G Offer… - Applied Energy, 2023 - Elsevier
Traditional equivalent circuit models (ECMs) have difficulties in estimating battery internal
states due to the lack of relevant physics, such as the lithium diffusion in active particles …

An interpretable capacity prediction method for lithium-ion battery considering environmental interference

Z Yang, H Zhang - Scientific Reports, 2024 - nature.com
Predicting the capacity of lithium-ion battery (LIB) plays a crucial role in ensuring the safe
operation of LIBs and prolonging their lifespan. However, LIBs are easily affected by …