Controlling the charging power system in an electrical vehicle, presents a serious challenge for the engineer in order to find the best solution that guarantee the system effectiveness and performance. Related to this objective, this paper is presented to offer an intelligent power management algorithm, which guarantees the best process of power extraction and injection, respectively, from an electrical generator (EG) linked to an internal combustion engine (ICE) to a system of batteries via a direct current to alternative current power converter. This intelligent process was based on the fuzzy technology and the system tuning is made after a various test. Obtaining the necessary power in the exact moment and in the specific condition, that presents the goal of the presented algorithm. For obtaining the best instruction from the present intelligent process, the state of charge (SOC) of the battery, the measured output voltage from the battery and the acceleration decision of the user, are used as a real's input parameters for having a real statue of the electrical vehicle. This new process will be an asset to the highway electrical vehicle for optimizing the power consumption. To evaluate the algorithm performance matlab/simulink is used and a simulation results are presented and discussed.
Internal Fuzzy Hybrid Charger System for a Hybrid Electrical Vehicle
Contributed by the Internal Combustion Engine Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received March 8, 2017; final manuscript received June 20, 2017; published online August 22, 2017. Assoc. Editor: Stephen A. Ciatti.
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Aymen, F. (August 22, 2017). "Internal Fuzzy Hybrid Charger System for a Hybrid Electrical Vehicle." ASME. J. Energy Resour. Technol. January 2018; 140(1): 012003. https://doi.org/10.1115/1.4037352
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