Research on aging mechanism and state of health prediction in lithium batteries

J Zeng, S Liu - Journal of Energy Storage, 2023 - Elsevier
In recent years, in order to reduce vehicle exhaust emissions and alleviate the energy crisis,
new energy vehicles have been rapidly developed. With the improvement of the …

Towards unified machine learning characterization of lithium-ion battery degradation across multiple levels: A critical review

AG Li, AC West, M Preindl - Applied Energy, 2022 - Elsevier
Lithium-ion battery (LIB) degradation is often characterized at three distinct levels:
mechanisms, modes, and metrics. Recent trends in diagnostics and prognostics have been …

Health and performance diagnostics in Li-ion batteries with pulse-injection-aided machine learning

AG Li, W Wang, AC West, M Preindl - Applied Energy, 2022 - Elsevier
Performance metric diagnostics of lithium-ion batteries are important for electric vehicles. A
novel diagnostics method during vehicle charging is proposed using a feedforward neural …

Enhancing Energy Management Strategies for Extended-Range Electric Vehicles through Deep Q-Learning and Continuous State Representation

C Montaleza, P Arévalo, J Gallegos, F Jurado - Energies, 2024 - mdpi.com
The efficiency and dynamics of hybrid electric vehicles are inherently linked to effective
energy management strategies. However, complexity is heightened due to uncertainty and …

[PDF][PDF] A Novel M-1 Structured Long Short Term Memory-Rauch Tung Striebel Smoothing Algorithm for the Collaborative Estimation State of Charge and Multi …

T Long, S Wang, W Cao, H Zhou, F Carlos - Available at SSRN 4134271 - papers.ssrn.com
Abstract where an accurate real-time description of battery state of power and charge is
essential. To estimate the state of charge efficiently, we propose a novel improved M-1 …