Guang Li
University of Sussex(GB)
Publications by Year
Research Areas
Advanced Battery Technologies Research, Wave and Wind Energy Systems, Adaptive Control of Nonlinear Systems, Microgrid Control and Optimization, Advancements in Battery Materials
Most-Cited Works
- → Model predictive control of sea wave energy converters – Part I: A convex approach for the case of a single device(2014)193 cited
- → State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives(2021)185 cited
- → Wave energy converter control by wave prediction and dynamic programming(2012)179 cited
- → Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution(2020)148 cited
- → Two-stage network constrained robust unit commitment problem(2013)128 cited
- → A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles(2021)120 cited
- → A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization(2020)118 cited
- → Stochastic model predictive control for energy management of power-split plug-in hybrid electric vehicles based on reinforcement learning(2020)115 cited
- → An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation(2020)114 cited
- → Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles(2020)110 cited