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Research Papers: Energy Systems Analysis

Internal Fuzzy Hybrid Charger System for a Hybrid Electrical Vehicle

[+] Author and Article Information
Flah Aymen

Research Unit of Photovoltaic, Wind, and
Geothermal Systems,
National Engineering School of Gabès,
University of Gabès,
Gabès 6072, Tunisia
e-mail: flah.aymen@enig.rnu.tn

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.

J. Energy Resour. Technol 140(1), 012003 (Aug 22, 2017) (8 pages) Paper No: JERT-17-1113; doi: 10.1115/1.4037352 History: Received March 08, 2017; Revised June 20, 2017

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.

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Figures

Grahic Jump Location
Fig. 1

Descriptive diagram for the overall system components and blocs relation

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Fig. 2

PHEV and HEV and connection to the grid

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Fig. 3

Internal electrical charger (IEC) architecture inside a HEV

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Fig. 4

Internal hybrid charger (IHC) architecture inside a HEV

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Fig. 10

Fuel injection statue for a 30% of battery charged and at an acceleration condition given as presented in Fig. 6

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Fig. 11

Battery voltage for a 30% of battery charged and at an acceleration condition given as presented in Fig. 6 and after running the electrical generator

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Fig. 5

Internal fuzzy hybrid recharge system blocs and the relation between them

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Fig. 6

Car and electrical motor speed for an acceleration varied between 0 and 0.5% for a battery starting SOC close to 100%

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Fig. 7

Battery voltage and SOC evolution proportionally to previous cited characteristics

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Fig. 8

Fuel injection statue for a full-charged battery starting condition and at an acceleration condition given as presented in Fig. 6

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Fig. 9

Car and electrical motor speed for an acceleration varied between 0 and 0.5% for a battery starting SOC close to 30%

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