RNN-INTEGRATED MODEL PREDICTIVE CONTROL FOR FUEL CELL AND SOLAR-POWERED HYBRID ELECTRIC VEHICLES

• Datum: 2024
• Автори та афіліації: G. Divya — GITAM School of Technology, GITAM Deemed to be University, Hyderabad, Telangana; EEE, CVR College of Engineering, Hyderabad, Telangana; S. Venkata Padmavathi — EEE, GITAM School of Technology, GITAM Deemed to be University, Hyderabad, Telangana
• Ключові слова: keywords
• Hauptverfasser: Divya, G., Venkata Padmavathi , S.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: Institute of Renewable Energy National Academy of Sciences of Ukraine 2024
• Schlagworte: Hybrid Electric Vehicle (HEV); Recurrent Neural Network (RNN); Fuel Cell; Induction Motor Control; Electro-lyzer; Renewable Energy Integration; Speed Control; MATLAB/SIMULINK Simulation.
• Online Zugang: https://ve.org.ua/index.php/journal/article/view/483
• Назва журналу: Vidnovluvana energetika

This paper presents an innovative Hybrid Electric Vehicle (HEV) configuration utilizing a fuel cell as the primary energy source and an onboard Photovoltaic (PV) array as a supplementary source. The system features an advanced Model Predictive Control (MPC) enhanced by a Recurrent Neural Network (RN...