Adaptive Neuro-Fuzzy Inference System (ANFIS) for Optimization of Solar Based Electric Vehicle-to-Home (V2H) Fuzzy Inference System (FIS) Controller
Adaptive Neuro-Fuzzy Inference System (ANFIS) for Optimization of Solar Based Electric Vehicle-to-Home (V2H) Fuzzy Inference System (FIS) Controller
- Neue Suche nach: Shafaati Shemami, Mahdi
- Neue Suche nach: Saad Alam, Mohammad
- Neue Suche nach: Jamil Asghar, M. S.
- Neue Suche nach: Shariff, Samir M.
- Neue Suche nach: Shafaati Shemami, Mahdi
- Neue Suche nach: Saad Alam, Mohammad
- Neue Suche nach: Jamil Asghar, M. S.
- Neue Suche nach: Shariff, Samir M.
With the development of electric vehicles (EVs) technology, use of EVs have become more common. Charging and discharging of EVs are becoming new issue at home so proper load management and utilizing solar energy can solve it. This paper based on the designed fuzzy logic controller (FLC) for V2H system, proposed an optimizing method for the fuzzy rules and membership function of FIS by ANFIS optimization. In this work first, the V2H system is designed and based on the experimental setup results, the outputs and inputs membership functions of controller optimized. The optimized system has been tested and improvement of performance has been approved.
Dokumentinformationen
Adaptive Neuro-Fuzzy Inference System (ANFIS) for Optimization of Solar Based Electric Vehicle-to-Home (V2H) Fuzzy Inference System (FIS) Controller
2019-06-01
626382 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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