Yunhong Che (车云弘)
Yunhong Che (车云弘)
AAU Energy, Aalborg University, Denmark; IMOS, EPFL, Switzerland
Verified email at - Homepage
Cited by
Cited by
Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression
Z Deng, X Hu, X Lin, Y Che, L Xu, W Guo
Energy 205, 118000, 2020
General discharge voltage information enabled health evaluation for lithium-ion batteries
Z Deng, X Hu, X Lin, L Xu, Y Che, L Hu
IEEE/ASME Transactions on Mechatronics 26 (3), 1295-1306, 2020
Battery health prediction using fusion-based feature selection and machine learning
X Hu, Y Che, X Lin, S Onori
IEEE Transactions on Transportation Electrification 7 (2), 382-398, 2020
Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering
L Hu, X Hu, Y Che, F Feng, X Lin, Z Zhang
Applied Energy 262, 114569, 2020
Health prognosis for electric vehicle battery packs: A data-driven approach
X Hu, Y Che, X Lin, Z Deng
IEEE/ASME transactions on mechatronics 25 (6), 2622-2632, 2020
Predictive Battery Health Management with Transfer Learning and Online Model Correction
Y Che, Z Deng, X Lin, L Hu, X Hu
IEEE Transactions on Vehicular Technology, 2021
State of health prognostics for series battery packs: A universal deep learning method
Y Che, Z Deng, P Li, X Tang, K Khosravinia, X Lin, X Hu
Energy 238, 121857, 2022
A practical and comprehensive evaluation method for series-connected battery pack models
F Feng, X Hu, K Liu, Y Che, X Lin, G Jin, B Liu
IEEE Transactions on Transportation Electrification 6 (2), 391-416, 2020
Joint Estimation of Inconsistency and State of Health for Series Battery Packs
Y Che, A Foley, M El-Gindy, X Lin, X Hu, M Pecht
Automotive Innovation, 1-14, 2021
Lifetime and aging degradation prognostics for lithium-ion battery packs based on a cell to pack method
Y Che, Z Deng, X Tang, X Lin, X Nie, X Hu
Chinese Journal of Mechanical Engineering 35, 1-16, 2022
Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network
Y Che, Y Zheng, Y Wu, X Sui, P Bharadwaj, DI Stroe, Y Yang, X Hu, ...
Applied Energy 323, 119663, 2022
Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Y Che, X Hu, X Lin, J Guo, R Teodorescu
Energy & Environmental Science, 2023
Semi-supervised self-learning-based lifetime prediction for batteries
Y Che, DI Stroe, X Hu, R Teodorescu
IEEE Transactions on Industrial Informatics, 2022
Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects
K Liu, Q Peng, Y Che, Y Zheng, K Li, R Teodorescu, D Widanage, A Barai
Advances in Applied Energy, 100117, 2022
Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles
Y Wu, Z Huang, Y Zheng, Y Liu, H Li, Y Che, J Peng, R Teodorescu
Energy Conversion and Management 277, 116619, 2023
Battery impedance spectrum prediction from partial charging voltage curve by machine learning
J Guo, Y Che, K Pedersen, DI Stroe
Journal of Energy Chemistry, 2023
Battery pack state of health estimation with general health indicators and modified gaussian process regression
Y Che, Z Deng, X Hu
Proceedings of the 34th International Electric Vehicle Symposium and …, 2021
Battery health prognostic with sensor-free differential temperature voltammetry reconstruction and capacity estimation based on multi-domain adaptation
Y Che, SB Vilsen, J Meng, X Sui, R Teodorescu
Etransportation 17, 100245, 2023
基于数据驱动的电池系统泛化 SOH 估计方法
车云弘, 邓忠伟, 李佳承, 谢翌, 胡晓松
机械工程学报 58 (24), 253-263, 2023
Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning
Y Che, Y Zheng, Y Wu, X Lin, J Li, X Hu, R Teodorescu
IEEE Transactions on Vehicular Technology, 2023
The system can't perform the operation now. Try again later.
Articles 1–20