| Lithium-ion battery data and where to find it G Dos Reis, C Strange, M Yadav, S Li Energy and AI 5, 100081, 2021 | 206 | 2021 |
| A hybrid machine learning framework for joint SOC and SOH estimation of lithium-ion batteries assisted with fiber sensor measurements Y Li, K Li, X Liu, X Li, L Zhang, B Rente, T Sun, KTV Grattan Applied Energy 325, 119787, 2022 | 61 | 2022 |
| Lithium-ion battery state-of-charge estimator based on FBG-based strain sensor and employing machine learning B Rente, M Fabian, M Vidakovic, X Liu, X Li, K Li, T Sun, KTV Grattan IEEE Sensors Journal 21 (2), 1453-1460, 2020 | 47 | 2020 |
| Joint SoC and SoH estimation for Zinc–Nickel single-flow batteries S Li, K Li, E Xiao, CK Wong IEEE Transactions on Industrial Electronics 67 (10), 8484-8494, 2019 | 41 | 2019 |
| The electrochemical performance and applications of several popular lithium-ion batteries for electric vehicles-a review X Liu, K Li, X Li Advances in Green Energy Systems and Smart Grid: First International …, 2018 | 40 | 2018 |
| Elbows of internal resistance rise curves in Li-ion cells C Strange, S Li, R Gilchrist, G Dos Reis Energies 14 (4), 1206, 2021 | 24 | 2021 |
| Real-time peak power prediction for zinc nickel single flow batteries S Li, K Li, E Xiao, J Zhang, M Zheng Journal of Power Sources 448, 227346, 2020 | 16 | 2020 |
| A novel flowrate control method for single flow zinc/nickel battery X Li, CK Wong, ZL Yang 2016 International Conference for Students on Applied Engineering (ICSAE), 30-35, 2016 | 8 | 2016 |
| State-of-charge estimation of lithium batteries using compact RBF networks and AUKF L Zhang, K Li, D Du, M Fei, X Li Advanced Computational Methods in Energy, Power, Electric Vehicles, and …, 2017 | 6 | 2017 |
| Teaching-learning-feedback-based optimization X Li, K Li, Z Yang Advances in Swarm Intelligence: 8th International Conference, ICSI 2017 …, 2017 | 6 | 2017 |
| A novel model predictive control scheme based observer for working conditions and reconditioning monitoring of Zinc-Nickel single flow batteries S Li, K Li, E Xiao, R Xiong, J Zhang, P Fischer Journal of Power Sources 445, 227282, 2020 | 5 | 2020 |
| A novel rbf neural model for single flow zinc nickel batteries X Li, K Li, Z Yang, C Wong Advanced Computational Methods in Energy, Power, Electric Vehicles, and …, 2017 | 4 | 2017 |
| Machine Learning Model using a Fiber Bragg Grating-based Sensor System to measure Battery State-of-Charge S Bandyopadhyay, M Fabian, J Bremner, X Liu, X Li, K Li, T Sun, ... Optical Fiber Sensors, W4. 17, 2022 | 2 | 2022 |
| Compact Neural Modeling of Single Flow Zinc-Nickel Batteries Based on Jaya Optimization L Zhang, K Li, Z Yang, X Li, Y Guo, D Du, C Wong Proceedings of CEC 2018, 851-856, 2018 | 2 | 2018 |
| FRA and EKF Based State of Charge Estimation of Zinc-Nickel Single Flow Batteries Y Li, K Li, S Li, Y Li Advances in Green Energy Systems and Smart Grid: First International …, 2018 | 2 | 2018 |
| Flow measurement inside a zinc-nickel flow cell battery using FBG based sensor system M Vidakovic, B Rente, M Fabian, X Li, P Fisher, K Li, T Sun, KTV Grattan Seventh European Workshop on Optical Fibre Sensors 11199, 186-189, 2019 | 1 | 2019 |
| A non-invasive method for state-of-charge estimation of Li-ion batteries using Fibre Bragg Grating-based sensors B Rente, M Fabian, X Liu, X Li, K Li, T Sun, KTV Grattan Optical Fiber Sensors, Th4. 13, 2020 | | 2020 |
| Economic model predictive control of organic Rankine cycle based waste heat energy conversion systems S Li, K Li, M Lin, J Pu, J Zhang Proceedings of ECOS 2020, 869-878, 2020 | | 2020 |
| Evaluation of data flow control performance for Architecture of Secondary Substation System X Li, H Li, H Wen 2016 IEEE 8th International Power Electronics and Motion Control Conference …, 2016 | | 2016 |
| ORCID: 0000-0003-2250-3832 (2019). Flow measurement inside a zinc-nickel flow cell battery using FBG based sensor system M Vidakovic, B Rente, M Fabian, X Li, P Fisher, K Li, T Sun, KTV Grattan Proceedings of SPIE 11199, 1119915, 0 | | |
Kang LiUniversity of LeedsVerified email at leeds.ac.uk
