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 | 509 | 2019 |
A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells Q Niu, L Zhang, K Li Energy conversion and management 86, 1173-1185, 2014 | 288 | 2014 |
Model selection approaches for non-linear system identification: a review X Hong, RJ Mitchell, S Chen, CJ Harris, K Li, GW Irwin International journal of systems science 39 (10), 925-946, 2008 | 283 | 2008 |
A fast nonlinear model identification method K Li, JX Peng, GW Irwin IEEE Transactions on Automatic Control 50 (8), 1211-1216, 2005 | 270 | 2005 |
An improved TLBO with elite strategy for parameters identification of PEM fuel cell and solar cell models Q Niu, H Zhang, K Li International journal of hydrogen energy 39 (8), 3837-3854, 2014 | 251 | 2014 |
Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review Z Yang, K Li, A Foley Renewable and Sustainable Energy Reviews 51, 396-416, 2015 | 243 | 2015 |
Incremental learning from stream data H He, S Chen, K Li, X Xu IEEE Transactions on Neural Networks 22 (12), 1901-1914, 2011 | 237 | 2011 |
Deep reinforcement learning-based energy storage arbitrage with accurate lithium-ion battery degradation model J Cao, D Harrold, Z Fan, T Morstyn, D Healey, K Li IEEE Transactions on Smart Grid 11 (5), 4513-4521, 2020 | 229 | 2020 |
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 (2), 5463-5474, 2018 | 222 | 2018 |
Battery modelling methods for electric vehicles-A review C Zhang, K Li, S Mcloone, Z Yang 2014 European Control Conference (ECC), 2673-2678, 2014 | 201 | 2014 |
A two-stage algorithm for identification of nonlinear dynamic systems K Li, JX Peng, EW Bai Automatica 42 (7), 1189-1197, 2006 | 195 | 2006 |
Support vector machine classification for large data sets via minimum enclosing ball clustering J Cervantes, X Li, W Yu, K Li Neurocomputing 71 (4-6), 611-619, 2008 | 184 | 2008 |
Lithium-ion battery capacity estimation—A pruned convolutional neural network approach assisted with transfer learning Y Li, K Li, X Liu, Y Wang, L Zhang Applied Energy 285, 116410, 2021 | 175 | 2021 |
Hybrid probabilistic wind power forecasting using temporally local Gaussian process J Yan, K Li, EW Bai, J Deng, AM Foley IEEE Transactions on sustainable energy 7 (1), 87-95, 2015 | 154 | 2015 |
Real-time estimation of battery internal temperature based on a simplified thermoelectric model C Zhang, K Li, J Deng Journal of Power Sources 302, 146-154, 2016 | 148 | 2016 |
Hierarchical management for integrated community energy systems X Xu, X Jin, H Jia, X Yu, K Li Applied Energy 160, 231-243, 2015 | 139 | 2015 |
A long-term analysis of pumped hydro storage to firm wind power AM Foley, PG Leahy, K Li, EJ McKeogh, AP Morrison Applied Energy 137, 638-648, 2015 | 129 | 2015 |
A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads Z Yang, K Li, Q Niu, Y Xue, A Foley Journal of Modern Power Systems and Clean Energy 2 (4), 298-307, 2014 | 129 | 2014 |
Improved Realtime State-of-Charge Estimation of LiFePO Battery Based on a Novel Thermoelectric Model C Zhang, K Li, J Deng, S Song IEEE Transactions on Industrial Electronics 64 (1), 654-663, 2016 | 123 | 2016 |
Modelling and prediction of NOx emission in a coal-fired power generation plant K Li, S Thompson, J Peng Control Engineering Practice 12 (6), 707-723, 2004 | 119 | 2004 |