Dynamic cycling enhances battery lifetime

A Geslin, L Xu, D Ganapathi, K Moy, WC Chueh… - Nature Energy, 2024 - nature.com
Laboratory ageing campaigns elucidate the complex degradation behaviour of most
technologies. In lithium-ion batteries, such studies aim to capture realistic ageing …

A multi-stage lithium-ion battery aging dataset using various experimental design methodologies

F Stroebl, R Petersohn, B Schricker, F Schaeufl… - Scientific Data, 2024 - nature.com
This dataset encompasses a comprehensive investigation of combined calendar and cycle
aging in commercially available lithium-ion battery cells (Samsung INR21700-50E). A total …

[HTML][HTML] Research on the Purchase Intention of Electric Vehicles Based on Customer Evaluation and Personal Information

J Chen, Z Zhang, C Zhao, S Zhang, W Guo… - World Electric Vehicle …, 2023 - mdpi.com
With the continuous development of electric vehicle (EV) technology, there is an increasing
need to analyze the factors influencing customers' purchase intentions. According to the …

Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives

A Thelen, X Huan, N Paulson, S Onori, Z Hu… - npj Materials …, 2024 - nature.com
Diagnosing lithium-ion battery health and predicting future degradation is essential for
driving design improvements in the laboratory and ensuring safe and reliable operation over …

Controlled Temperature Break-in Proposal for Batteries on Dynamometer Cycles: A Compliance Approach with SAE J1634 Standards

RB Souza, RAP Junior, LFA Rodrigues, GS Becker… - 2024 - sae.org
Given the recent increase in exhaust gas emission restrictions, electrification has become
the major development focus in the transportation industry. Like combustion vehicles …

Towards Decarbonized Electric Grid and Transportation Sectors: a Modelling, Battery-Centric Study

KR Moy - 2023 - search.proquest.com
In the face of ever-increasing e↵ ects of anthropogenic climate change, the energy transition
towards a fully-decarbonized world is accelerating. Key to this accelerated decarbonized …

A Fusion of SVR and Fully Connected Networks for Improved RUL Prediction of Lithium Ion Batteries

S Gannamani, GA Prabhu, M Sadhikh… - 2024 Global …, 2024 - ieeexplore.ieee.org
The purpose of this study is to evaluate the prediction of the Remaining Useful Life (RUL) of
lithium-ion batteries using the Support Vector Regression (SVR) algorithm with a radial …

Reducing electric vehicle range anxiety with machine learning models incorporating human behavior

S Mondal, HN Ramesh, X Ma, S Cheng, T Angeles… - 2024 - chemrxiv.org
Range anxiety remains a significant concern for electric vehicle drivers due to uncertainties
in accurately estimating battery charge consumption or state of charge during a trip. Factors …

Research briefing

A Geslin, L Xu - nature.com
An ageing study of lithium-ion batteries reveals that dynamic cycling representative of
electric vehicle driving increases battery lifetime by up to 38% compared with constant …