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March 3, 2026
BG-crossformer model for intelligent temperature prediction to enhance safety in hydrogen refueling of fuel cell vehicles
DH
Donghai Hu
Jiangsu University
DG
Dong Gao
Jiangsu University
ZH
Zhenfu Hu
Jiangsu University
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Key Points
Effective temperature prediction enhances safety during hydrogen refueling processes.
The BG-crossformer model demonstrates accuracy in temperature forecasting for fuel cell vehicles.
Implementation of this model improves operational protocols in hydrogen stations and vehicle interactions.
Results indicate a potential to reduce risks during refueling, suggesting a need for broader adoption.
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Hu et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75c83c6e9836116a2571d
https://doi.org/https://doi.org/10.1016/j.ijhydene.2026.153672
BG-crossformer model for intelligent temperature prediction to enhance safety in hydrogen refueling of fuel cell vehicles | Synapse