Simulation and modelling of Math Function Based controller implemented with fuzzy and artificial neural network for a smooth transition between battery and ultracapacitor

Katuri, Raghavaiah; Gorantla, Srinivasarao

doi:10.18280/ama_c.730203

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…PIC18F4431 microcontroller is used for a DC-DC converter for proper power-sharing [20]. A new control strategy is designed and implemented, to switch the energy sources present in the HESS according to the electric vehicle dynamics [21].…”

Section: Introductionmentioning

confidence: 99%

Modelling and analysis of a hybrid controller applied to the ultracapacitor based solar powered electric vehicle

Katuri¹,

Gorantla²

2018

MMC_A

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The high power density capability of Ultracapacitor (UC) can be utilized by developing of Hybrid Energy Storage System (HESS) with a conventional power source, battery. UC power mainly used during peak power requirement of electric vehicle (EV) / Hybrid electric vehicle (HEV) on the other hand side battery is treated as a main source of the entire system and it serves the average power to the load. Energy management between the sources, is the primary difficulty associated with HESS powered electric vehicles. The main aim of this work is to design a new control strategy approach which is used to switch the power sources according to the electric vehicle dynamics. Four math functions are created individually according to the speed of an electric motor, named as Math Function Based (MFB) controller. The designed MFB controller is combined with a Proportional Integral (PI) controller in order to achieve the main objective and applied to the solarpowered electric vehicles for a smooth transition between battery and UC. The principal goal of the designed MFB controller always regulates the pulse signals generated by the conventional PI controller, and this scenario happens with respect to the speed of an electric motor. A solar panel is connected to the electric vehicle which is used to charge the battery charge based on irradiance, temperature available conditions and discharge the same amount of energy during unavailable timings of sunlight All modes of the circuit is simulated in MATLAB and results are plotted, discussed in simulation results and discussion section.

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Section: Introductionmentioning

confidence: 99%

Modelling and analysis of a hybrid controller applied to the ultracapacitor based solar powered electric vehicle

Katuri¹,

Gorantla²

2018

MMC_A

Self Cite

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show abstract

Section: Introductionmentioning

confidence: 99%

Analysis of Math function based controller combined with PID for solar-powered electric vehicle

Katuri¹,

Gorantla²

2018

AMA_C

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Hybrid Energy Storage System (HESS) powered electric vehicles (EVs)/ hybrid electric vehicles (HEVs) have its own advantages than single power source fed EVs/HEVs. The battery and ultracapacitor (UC) combination forms the HESS, battery always acts as the main source whereas UC full fill the auxiliary power sources requirement by supporting the battery during transient and starting period of the electric vehicle. In any HESS powered electric vehicle, smooth transition between the energy sources is the major obstacle according to the vehicle dynamics. The main aim of this work is to design a new control strategy for a smooth transition between the energy sources in HESS. Four math functions are taken and programmed individually based on the speed of an electric motor termed as Math Function Based (MFB) controller, thereafter the designed MFB controller is combined with conventional Proportional Integral Derivative (PID) controller to achieve the main objective of this work, and the combination MFB plus PID called as a hybrid controller. The MFB controller always regulates the pulse signal generated by the PID controller to the Bidirectional converter (BDC) as well as a Unidirectional converter (UDC) according to the speed of the electric motor. In this work additionally, the solar panel is added to the electric vehicle to charge the battery during the sunlight availability timings depending upon the irradiance and temperature. The entire solar-powered electric vehicle circuit is modeled and analyzed in four modes with different loads according to the speed of an electric motor. All modes of results are discussed, presented in simulation results and discussion section.

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Simulation and modelling of Math Function Based controller implemented with fuzzy and artificial neural network for a smooth transition between battery and ultracapacitor

Cited by 2 publications

References 20 publications

Modelling and analysis of a hybrid controller applied to the ultracapacitor based solar powered electric vehicle

Modelling and analysis of a hybrid controller applied to the ultracapacitor based solar powered electric vehicle

Analysis of Math function based controller combined with PID for solar-powered electric vehicle

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