| Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review Y Li, K Liu, AM Foley, A Zülke, M Berecibar, E Nanini-Maury, J Van Mierlo, ... Renewable and sustainable energy reviews 113, 109254, 2019 | 810 | 2019 |
| State estimation for advanced battery management: Key challenges and future trends X Hu, F Feng, K Liu, L Zhang, J Xie, B Liu Renewable and Sustainable Energy Reviews 114, 109334, 2019 | 565 | 2019 |
| A brief review on key technologies in the battery management system of electric vehicles K Liu, K Li, Q Peng, C Zhang Frontiers of mechanical engineering 14, 47-64, 2019 | 498 | 2019 |
| A data-driven approach with uncertainty quantification for predicting future capacities and remaining useful life of lithium-ion battery K Liu, Y Shang, Q Ouyang, WD Widanage IEEE Transactions on Industrial Electronics 68 (4), 3170-3180, 2020 | 467 | 2020 |
| Advanced fault diagnosis for lithium-ion battery systems: A review of fault mechanisms, fault features, and diagnosis procedures X Hu, K Zhang, K Liu, X Lin, S Dey, S Onori IEEE Industrial Electronics Magazine 14 (3), 65-91, 2020 | 346 | 2020 |
| Gaussian process regression with automatic relevance determination kernel for calendar aging prediction of lithium-ion batteries K Liu, Y Li, X Hu, M Lucu, WD Widanage IEEE Transactions on Industrial Informatics 16 (6), 3767-3777, 2019 | 284 | 2019 |
| Modified Gaussian process regression models for cyclic capacity prediction of lithium-ion batteries K Liu, X Hu, Z Wei, Y Li, Y Jiang IEEE Transactions on Transportation Electrification 5 (4), 1225-1236, 2019 | 277 | 2019 |
| Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model F Feng, S Teng, K Liu, J Xie, Y Xie, B Liu, K Li Journal of Power Sources 455, 227935, 2020 | 267 | 2020 |
| A review on second-life of Li-ion batteries: Prospects, challenges, and issues M Shahjalal, PK Roy, T Shams, A Fly, JI Chowdhury, MR Ahmed, K Liu Energy 241, 122881, 2022 | 251 | 2022 |
| Charging pattern optimization for lithium-ion batteries with an electrothermal-aging model K Liu, C Zou, K Li, T Wik IEEE transactions on industrial informatics 14 (12), 5463-5474, 2018 | 214 | 2018 |
| Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation K Liu, X Hu, Z Yang, Y Xie, S Feng Energy conversion and management 195, 167-179, 2019 | 197 | 2019 |
| Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm J Wu, Z Wei, K Liu, Z Quan, Y Li IEEE Transactions on Vehicular Technology 69 (11), 12786-12796, 2020 | 160 | 2020 |
| Model migration neural network for predicting battery aging trajectories X Tang, K Liu, X Wang, F Gao, J Macro, WD Widanage IEEE Transactions on Transportation Electrification 6 (2), 363-374, 2020 | 157 | 2020 |
| Feature analyses and modeling of lithium-ion battery manufacturing based on random forest classification K Liu, X Hu, H Zhou, L Tong, WD Widanage, J Marco IEEE/ASME Transactions on Mechatronics 26 (6), 2944-2955, 2021 | 154 | 2021 |
| Towards long lifetime battery: AI-based manufacturing and management K Liu, Z Wei, C Zhang, Y Shang, R Teodorescu, QL Han IEEE/CAA Journal of Automatica Sinica 9 (7), 1139-1165, 2022 | 142 | 2022 |
| Co-estimation of state-of-charge and state-of-health for lithium-ion batteries using an enhanced electrochemical model Y Gao, K Liu, C Zhu, X Zhang, D Zhang IEEE Transactions on Industrial Electronics 69 (3), 2684-2696, 2021 | 135 | 2021 |
| Optimal charging control for lithium-ion battery packs: A distributed average tracking approach Q Ouyang, Z Wang, K Liu, G Xu, Y Li IEEE Transactions on Industrial Informatics 16 (5), 3430-3438, 2019 | 117 | 2019 |
| Constrained generalized predictive control of battery charging process based on a coupled thermoelectric model K Liu, K Li, C Zhang Journal of Power Sources 347, 145-158, 2017 | 116 | 2017 |
| A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting Z Yang, M Mourshed, K Liu, X Xu, S Feng Neurocomputing 397, 415-421, 2020 | 113 | 2020 |
| An evaluation study of different modelling techniques for calendar ageing prediction of lithium-ion batteries K Liu, TR Ashwin, X Hu, M Lucu, WD Widanage Renewable and Sustainable Energy Reviews 131, 110017, 2020 | 109 | 2020 |
Kang LiUniversity of LeedsVerified email at leeds.ac.uk
