Active cell equalization topologies analysis for battery packs: A systematic review

N Ghaeminezhad, Q Ouyang, X Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing use of rechargeable lithium-ion battery packs in numerous applications,
it calls for an effective evaluation of active battery cell equalization to enhance the whole …

A comprehensive overview of the dc-dc converter-based battery charge balancing methods in electric vehicles

A Turksoy, A Teke, A Alkaya - Renewable and Sustainable Energy …, 2020 - Elsevier
With the development of electric vehicle (EV) technologies, efficient and reliable use of
rechargeable batteries (RBs) has become the key subject for automotive manufacturers …

A novel consistency evaluation method for series-connected battery systems based on real-world operation data

Q Wang, Z Wang, L Zhang, P Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanaged cell inconsistency may cause accelerated battery degradation or even thermal
runaway accidents in electric vehicles (EVs). Accurate cell inconsistency evaluation is a …

Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy

X Tang, Y Zhou, F Gao, X Lai - Etransportation, 2023 - Elsevier
Develo** simple and accurate state estimators for battery packs is important but
technically challenging due to not only the high number of batteries requiring monitoring but …

Model migration neural network for predicting battery aging trajectories

X Tang, K Liu, X Wang, F Gao, J Macro… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
An accurate prediction of batteries' future degradation is a key solution to relief the users'
anxiety on battery lifespan and electric vehicles' driving range. Technical challenges arise …

Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model

B Liu, X Tang, F Gao - Electrochimica Acta, 2020 - Elsevier
With the advantages of accurate and elaborate, the application of the electrochemical
models has become a potential trend for states estimation of Li-ion batteries in advanced …

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 …

Residual life prediction of lithium-ion batteries based on data preprocessing and a priori knowledge-assisted CNN-LSTM

Q **e, R Liu, J Huang, J Su - Energy, 2023 - Elsevier
Lithium-ion batteries have become widely used in many industries due to their outstanding
performance, making it vital to accurately predict the remaining useful life (RUL) of these …

Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method

X Tang, C Zou, K Yao, J Lu, Y **a, F Gao - Applied Energy, 2019 - Elsevier
This paper develops a new prediction method for the aging trajectory of lithium-ion batteries
with significantly reduced experimental tests. This method is driven by data collected from …

Automotive battery equalizers based on joint switched-capacitor and buck-boost converters

K Liu, Z Yang, X Tang, W Cao - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
A series of integrated equalizers based on joint buck-boost (BB) and switched-capacitor
(SC) converters are proposed for balancing the voltages of series-connected battery packs …