Segui
Shawn (Xiang) Li
Titolo
Citata da
Citata da
Anno
Lithium-ion battery data and where to find it
G Dos Reis, C Strange, M Yadav, S Li
Energy and AI 5, 100081, 2021
2112021
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
652022
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
492020
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
412019
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
402018
Elbows of internal resistance rise curves in Li-ion cells
C Strange, S Li, R Gilchrist, G Dos Reis
Energies 14 (4), 1206, 2021
252021
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
162020
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
82016
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
62017
Teaching-learning-feedback-based optimization
X Li, K Li, Z Yang
Advances in Swarm Intelligence: 8th International Conference, ICSI 2017 …, 2017
62017
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
52020
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
42017
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
22022
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
22018
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
22018
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
12019
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
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