52 citations · 56 across the 4 of their papers we have counts for
5 papers
Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve
Kate Qi Zhou, Yan Qin, Chau Yuen
Data-driven methods have gained extensive attention in estimating the state of health (SOH) of lithium-ion batteries. Accurate SOH estimation requires degradation-relevant features…
Lithium-ion Battery Online Knee Onset Detection by Matrix Profile
Kate Qi Zhou, Yan Qin, Chau Yuen
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 th…
On ML-Based Program Translation: Perils and Promises
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray +1
With the advent of new and advanced programming languages, it becomes imperative to migrate legacy software to new programming languages. Unsupervised Machine Learning-based Progra…
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization
Kate Qi Zhou, Yan Qin, Chau Yuen
Accurately estimating a battery's state of health (SOH) helps prevent battery-powered applications from failing unexpectedly. With the superiority of reducing the data requirement…
Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping
Kate Qi Zhou, Yan Qin, Billy Pik Lik Lau +2
The state of health (SOH) estimation plays an essential role in battery-powered applications to avoid unexpected breakdowns due to battery capacity fading. However, few studies hav…