Cross-conditions capacity estimation of lithium-ion battery with constrained adversarial domain adaptation

J He, L Wu - Energy, 2023 - Elsevier
Accurate estimation of lithium-ion battery capacity is important for battery management
systems. Traditional deep learning algorithms assume in advance that the training and test …

Digital twin for real-time Li-ion battery state of health estimation with partially discharged cycling data

Y Qin, A Arunan, C Yuen - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
To meet the fairly high safety and reliability requirements in practice, the state of health
(SOH) estimation of Lithium-ion batteries (LIBs), which has a close relationship with the …

Review of battery state estimation methods for electric vehicles-Part II: SOH estimation

O Demirci, S Taskin, E Schaltz, BA Demirci - Journal of Energy Storage, 2024 - Elsevier
State of Health (SOH) significantly determines the performance and durability of EV
batteries, with Battery Management System (BMS) playing a crucial role in enhancing their …

Lithium-ion battery state of health estimation by matrix profile empowered online knee onset identification

KQ Zhou, Y Qin, C Yuen - IEEE Transactions on Transportation …, 2023 - ieeexplore.ieee.org
Lithium-ion batteries (LiBs) degrade slightly until the knee onset, after which the
deterioration accelerates to end of life (EOL). The knee onset, which marks the initiation of …

Optimal Day-ahead Scheduling of Fast EV Charging Station With Multi-stage Battery Degradation Model

Y Wan, D Gebbran, RK Subroto… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The paper proposes a day-ahead scheduling framework with a novel multi-stage battery
degradation modeling method for an electric vehicle (EV) fast charging station (FCS) …

Computing task allocation for power Internet of Things including renewable energy sources

X Yang, X Yu, X Li - Frontiers in Energy Research, 2024 - frontiersin.org
Power Internet of Things (PIoT) is the key technology to build a new power system based on
new energy. Focusing on the problem that the large amount of data leads to the long …

A neural-driven stochastic degradation model for state-of-health estimation of lithium-ion battery

Z Long, L Yuan, A Yin, J Zhou, L Song - Journal of Energy Storage, 2024 - Elsevier
Due to usage for a long time, lithium-ion battery degradation issues may endanger security
operations for service equipment. As batteries usually operate under uncertain usage …

Lithium-ion battery online knee onset detection by matrix profile

KQ Zhou, Y Qin, C Yuen - arXiv preprint arXiv:2304.00691, 2023 - arxiv.org
Lithium-ion batteries (LiBs) degrade slightly until the knee onset, after which the
deterioration accelerates to end of life (EOL). The knee onset, which marks the initiation of …

A Slow Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting

Z Koh, Y Qin, YL Guan, C Yuen - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The ability to predict traffic flow over time for crowded areas during rush hours is increasingly
important as it can help authorities make informed decisions for congestion mitigation or …