most citedData-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load

67 citations · 88 across the 3 of their papers we have counts for

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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…