Lithium plating mechanism, detection, and mitigation in lithium-ion batteries

X Lin, K Khosravinia, X Hu, J Li, W Lu - Progress in Energy and …, 2021 - Elsevier
The success of electric vehicles depends largely on energy storage systems. Lithium-ion
batteries have many important properties to meet a wide range of requirements, especially …

A critical review on self-adaptive Li-ion battery ageing models

M Lucu, E Martinez-Laserna, I Gandiaga… - Journal of Power …, 2018 - Elsevier
The prediction accuracy of Lithium-ion (Li-ion) battery ageing models based on laboratory
data is uncertain in the context of online prediction. This is due to the difficulty to reproduce …

The challenge and opportunity of battery lifetime prediction from field data

V Sulzer, P Mohtat, A Aitio, S Lee, YT Yeh… - Joule, 2021 - cell.com
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries

F Zheng, Y Xing, J Jiang, B Sun, J Kim, M Pecht - Applied energy, 2016 - Elsevier
Battery state of charge (SOC) estimation is a crucial function of battery management systems
(BMSs), since accurate estimated SOC is critical to ensure the safety and reliability of electric …

Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries

L Zheng, J Zhu, DDC Lu, G Wang, T He - Energy, 2018 - Elsevier
The reliability and safety of battery operations necessitate an efficient battery management
system (BMS) with accurate battery state of charge (SOC) and capacity estimation …

Investigation of path‐dependent degradation in lithium‐ion batteries

T Raj, AA Wang, CW Monroe… - Batteries & …, 2020 - Wiley Online Library
Abstract Models that predict battery lifetime require knowledge of the causes of degradation
and operating conditions that accelerate it. Batteries experience two ageing modes …

Charging optimization in lithium-ion batteries based on temperature rise and charge time

C Zhang, J Jiang, Y Gao, W Zhang, Q Liu, X Hu - Applied energy, 2017 - Elsevier
Lithium-ion battery fast charging issues have become a main bottleneck of large-scale
deployment of electric vehicles. This paper develops a polarization based charging time and …

Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cell

M Naumann, M Schimpe, P Keil, HC Hesse… - Journal of Energy …, 2018 - Elsevier
This paper presents a comprehensive calendar aging study on a lithium-ion battery with a
test duration of 29 months. This aging study was realized with a widely used commercial …

State-of-health estimation for lithium-ion batteries based on the multi-island genetic algorithm and the Gaussian process regression

Z Wang, J Ma, L Zhang - Ieee Access, 2017 - ieeexplore.ieee.org
Battery State-of-Health (SOH) estimation is of utmost importance for the performance and
cost-effectiveness of electric vehicles. Incremental capacity analysis (ICA) has been …

State of health estimation for lithium-ion batteries using geometric impedance spectrum features and recurrent Gaussian process regression

Y Zhou, G Dong, Q Tan, X Han, C Chen, J Wei - Energy, 2023 - Elsevier
Due to lithium-ion batteries' complex behaviors, accurate estimation of state-of-health is still
a critical challenge in battery systems' prognosis and health management. Most existing …