Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons Z Xi, R Wang, Y Fu, C Mi Applied Energy 305, 117962, 2022 | 61 | 2022 |
Lithium-ion battery remaining useful life prediction using a two-phase degradation model with a dynamic change point R Wang, M Zhu, X Zhang, H Pham Journal of Energy Storage 59, 106457, 2023 | 12 | 2023 |
Shock-loading-based reliability modeling with dependent degradation processes and random shocks R Wang, M Zhu International Journal of Reliability, Quality and Safety Engineering 29 (03 …, 2022 | 6 | 2022 |
Modeling Human–Machine Interaction System Reliability with Multiple Dependent Degradation Processes and Situation Awareness Y Hu, R Wang, M Zhu, KB Chen International Journal of Reliability, Quality and Safety Engineering 30 (04 …, 2023 | 1 | 2023 |
Lifetime prediction and maintenance assessment of Lithium-ion batteries based on combined information of discharge voltage curves and capacity fade R Wang, M Zhu, X Zhang Journal of Energy Storage 81, 110376, 2024 | | 2024 |
Experimental analysis of Lithium-ion battery degradation with varying discharge rates R Wang, M Zhu 28th ISSAT International Conference on Reliability and Quality in Design …, 2023 | | 2023 |