Math function based controller applied to electric/hybrid electric vehicle

Katuri, Raghavaiah; Gorantla, Srinivasa Rao

doi:10.18280/mmc_a.910103

Cited by 5 publications

(8 citation statements)

References 9 publications

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“…For splitting energy properly between two energy sources rule-based metaheuristic controller is designed by considering different load conditions on the electric vehicle [4]. A new controller strategy approach is designed to switch the energy sources of HESS according to the speed of an electric motor [5][6]. Various characteristics contained multiple sources are combined by the hybridization concept for an electric vehicle application.…”

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

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“…The transportation system is one of the major factors for pollution in the atmosphere because IC engine based vehicles are releasing harmful gases to the atmosphere for its successful operation. To avoid that type of obstacle with IC engine based vehicles, those have been replaced with electric vehicles [1][2][3][4][5]. Both EVs and HEVs are having some technical problems associated with their used main energy source that may be battery or fuel cell.…”

Section: Introductionmentioning

confidence: 99%

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

Katuri¹,

Gorantla²

2018

AMA_C

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Electric vehicles (EVs)/Hybrid electric vehicles (HEVs) are implemented with Hybrid Energy Storage System (HESS) to obtain the effective results. HESS has been framed by combining battery with ultracapacitor (UC). Here the battery is used to supply the average power whereas UC can meet the transient power requirement of an electric vehicle. UC always assists the battery during peak power requirements and starting of the motor can also be done. The problem associated with HESS powered vehicle is switching between battery and UC depending upon vehicle road conditions. The main aim of this work is to design a controller for proper switching of energy sources in HESS. With four individual math function, one controller has been designed based on the speed of the electric motor, named as Math Function Based (MFB) controller, further, this has been integrated with ANN as well as Fuzzy logic made two new hybrid controllers. After that two-hybrid controllers have been implemented for the electric motor, thereafter comparative analysis has been made between them and suggested one good controller based on different comparative factors. The two-hybrid controllers have been implemented in four modes and results are discussed in the simulation results and discussion section.

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“…To achieve proper output, five inductors are used in this circuit, of which two act as a simple transformer while the rest are used in primary circuit. Super capacitor acts as a power reservoir at unexpected load condition [17][18]. A large-capacitance capacitor is used as a switching element, and to maintain the voltage gain in power circuit, two coupled inductors are introduced.…”

Section: Introductionmentioning

confidence: 99%

BDC-based wind energy storage for multimode operating system

Raaj¹,

Suresh²,

Arulmozhiyal³

2018

MMC_A

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We mainly focus on to creating a different mode of operation in an energy storage system for an effective way of wind energy utilization. The proposed energy storage system consists of Bidirectional DC-DC Converter (BDC), which makes the system effective in order to overcome the issues in practical usage. The modes of operations are based on three essential parameters such as wind-turbine speed (v), battery level (%) and load position (s). Based on the parameters' magnitude, the main controller will choose an effective mode. The main controller is designed in such a manner that it must be capable of withstanding drastic conditions, must be robust, should monitor all parameters, and could maintain the stability of the system. The work is evaluated through MATLAB/Simulink environment. Finally, the real time prototype experimental results are compared with that of the simulation. In addition, the proposed system is applicable for commercial and domestic power-storage systems.

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Math function based controller applied to electric/hybrid electric vehicle

Cited by 5 publications

References 9 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

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

BDC-based wind energy storage for multimode operating system

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