Hybrid physics-based and data-driven modeling with calibrated uncertainty for lithium-ion battery degradation diagnosis and prognosis. - Jing Lin; Yu Zhang; Edwin Khoo (CoRR, 2021)

Driving behavior-guided battery health monitoring for electric vehicles using machine learning. - Nanhua Jiang; Jiawei Zhang; Weiran Jiang; Yao Ren; Jing Lin; Edwin Khoo; Ziyou Song (CoRR, 2023)

Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling. - Riko I Made; Jing Lin; Jintao Zhang; Yu Zhang; Lionel C. H. Moh; Zhaolin Liu; Ning Ding; Sing Yang Chiam; Edwin Khoo; Xuesong Yin; Guangyuan Wesley Zheng (CoRR, 2023)

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. - Qing Xu 015; Min Wu 008; Edwin Khoo; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2023)