67 citations · 88 across the 3 of their papers we have counts for
3 papers
eess.SY2024★ 11 cited
A Critical Review of Proton Exchange Membrane Fuel Cells Matter Transports and Voltage Polarisation for Modelling
Raphaël Gass, Zhongliang Li, Rachid Outbib +2
Technologies based on the use of hydrogen are promising for future energy requirements in a more sustainable world. Consequently, modelling fuel cells is crucial, for instance, to…
cs.AI2023★ 10 cited
A Lifetime Extended Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles via Self-Learning Fuzzy Reinforcement Learning
Liang Guo, Zhongliang Li, Rachid Outbib
Modeling difficulty, time-varying model, and uncertain external inputs are the main challenges for energy management of fuel cell hybrid electric vehicles. In the paper, a fuzzy re…
cs.LG2023★ 67 cited
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Chu Wang, Manfeng Dou, Zhongliang Li +6
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic loa…