Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review

S Ding, Y Li, H Dai, L Wang, X He - Advanced Energy Materials, 2023 - Wiley Online Library
Precise prediction of lithium‐ion cell level aging under various operating conditions is an
imperative but challenging part of ensuring the quality performance of emerging applications …

Review of energy management systems and optimization methods for hydrogen‐based hybrid building microgrids

FA Sarwar, I Hernando‐Gil… - Energy Conversion and …, 2024 - Wiley Online Library
Renewable energy‐based microgrids (MGs) strongly depend on the implementation of
energy storage technologies to optimize their functionality. Traditionally, electrochemical …

Life cycle assessment of lithium ion battery from water-based manufacturing for electric vehicles

K Shen, Q Zhai, Y Gu, W Wang, H Cao… - Resources …, 2023 - Elsevier
Lithium ion batteries produced using the water-based manufacturing processes, as a
greener technology, have great potential to be used in future electric vehicles (EVs). A …

Electrochemical model boosting accurate prediction of calendar life for commercial LiFePO4| graphite cells by combining solid electrolyte interface side reactions

L Chen, S Ding, L Wang, F Zhu, X Zhu, S Zhang, H Dai… - Applied Energy, 2024 - Elsevier
The lithium-ion battery (LIB) is considered an ideal next-generation energy storage device
owing to its high safety, high energy density, and low cost. Calendar loss of LIBs is the most …

An efficient regrouping method of retired lithium-ion iron phosphate batteries based on incremental capacity curve feature extraction for echelon utilization

Z Chen, Y Deng, H Li, W Liu - Journal of Energy Storage, 2022 - Elsevier
Due to the long service life of lithium-ion iron phosphate (LFP) batteries, retired LFP
batteries from electric vehicles are suitable for echelon utilization. Sorting and regrouping …

Energy storage capacity optimization of wind-energy storage hybrid power plant based on dynamic control strategy

T Yi, H Ye, Q Li, C Zhang, W Ren, Z Tao - Journal of Energy Storage, 2022 - Elsevier
The construction of wind-energy storage hybrid power plants is critical to improving the
efficiency of wind energy utilization and reducing the burden of wind power uncertainty on …

Identifying the calendar aging boundary and high temperature capacity fading mechanism of Li ion battery with Ni-rich cathode

K Wu, X Wu, Z Lin, H Sun, MX Wang, W Li - Journal of Power Sources, 2024 - Elsevier
Temperature is well known to have a significant impact on the performance, safety, and
cycle life of lithium-ion batteries. Increasing the operating temperature within the limits of …

Exploring the potential and impact of single-crystal active materials on dry-processed electrodes for high-performance lithium-ion batteries

R Tao, B Su, S Thapa, K Uzun, H Alolaywi, X Lyu… - Chemical Engineering …, 2024 - Elsevier
Roll-to-roll powder-to-film dry processing (DP) and single-crystal (SC) active materials (AMs)
with many advantages are two hot topics of lithium-ion batteries (LIBs). However, DP of SC …

A bridge between trust and control: computational workflows meet automated battery cycling

P Kraus, E Bainglass, FF Ramirez… - Journal of Materials …, 2024 - pubs.rsc.org
Compliance with good research data management practices means trust in the integrity of
the data, and it is achievable by full control of the data gathering process. In this work, we …

Unsupervised feature extraction for lithium-ion battery electrochemical impedance spectroscopy and capacity estimation using deep learning method

J Yuan, J Zhao, Y Yu, Q Han, G Cui - Electrochimica Acta, 2024 - Elsevier
In this paper, we propose an unsupervised feature extraction technique using a variational
autoencoder and generative adversarial network (VAEGAN) that automatically extracts …