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Multi-time-step and multi-parameter prediction for real-world proton exchange membrane fuel cell vehicles (PEMFCVs) toward fault prognosis and energy consumption prediction

Da Li, Zhaosheng Zhang, Litao Zhou, Peng Liu, Zhenpo Wang, Junjun Deng

2022Applied Energy17 citationsDOI

Topics & Concepts

HyperparameterProton exchange membrane fuel cellConvolutional neural networkEnergy consumptionFeature (linguistics)Hyperparameter optimizationComputer scienceFault (geology)Artificial neural networkFuel efficiencyArtificial intelligenceEngineeringAutomotive engineeringFuel cellsSupport vector machineChemical engineeringGeologyElectrical engineeringPhilosophySeismologyLinguisticsFuel Cells and Related MaterialsAdvanced Battery Technologies ResearchElectric and Hybrid Vehicle Technologies
Multi-time-step and multi-parameter prediction for real-world proton exchange membrane fuel cell vehicles (PEMFCVs) toward fault prognosis and energy consumption prediction | Litcius