scholarly journals Modeling and analysis of hybrid controller by combining MFB with FLC implemented to ultracapacitor-based electric vehicle

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Electric Motor ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Energy Storage System ◽  
Smooth Transition ◽  
Energy Management Strategy ◽  
Control Approach

An optimized energy management strategy is designed for a hybrid energy storage system (HESS) to drive the hybrid electric vehicle (HEV) / electric vehicle (EV). Combination of battery and Ultra-Capacitor (UC) forms the HESS for an HEV / EV which will enhance the acceleration performance of the electric motor, reduced battery charge-discharge cycle and improves the driving range. The main aim of the proposed method is to design a control approach for automatic smooth switching between sources of HESS corresponding to the speed of the motor. To achieve the main objective, a new controller is designed with four math functions and programmed separately corresponding to the speed of the motor termed as MFB controller. The fuzzy logic controller is used to obtain the controlled gate pulses for Uni-directional (UDC) and Bi-directional (BDC) converters, those are placed at the battery and UC end. The MFB and Fuzzy logic controllers work together to attain a smooth transition between the battery and UC related to the speed of the electric motor. Finally, the effectiveness of the control strategy is validated with four modes of operation in MATLAB/Simulink.

Energy Consumption and Total Vehicle Efficiency Calculation Procedure for Electric Vehicles (EV, HEV and PHEV)

2018 ◽  
Author(s):  
Désirée Alcázar-García ◽  
Luis Romeral Martínez
Keyword(s):  
Electric Vehicle ◽  
Electric Motor ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Energy Management Strategy ◽  
Nickel Metal ◽  
Nickel Metal Hydride ◽  
Wide Range

An important question regarding vehicles design optimization and environmental care are energy management strategy and efficiency determination. Automotive brands work with a wide range of technologies and electrified mobility is considered to be one of the solutions to the growing environmental question. The present paper develops a mathematical model to predict the light-duty electric vehicle overall consumed energy depending on architecture and configuration of vehicles with different degrees of electrification (e.g. electric vehicle and hybrid electric vehicle), on the type of electric motor (e.g. hybrid synchronous electric motor, permanent magnet motor or induction motor) and engine (e.g. gasoline (Otto or Atkinson) or Diesel), on technology of energy-storage system (e.g. lithium-ion or nickel-metal hydride battery) and on weight and geometry of the car being flexible drive cycles and for all types of wheel drive (four wheel, front and rear). The method is verified making a component-to-component revision through real automobiles that are available in the market to demonstrate the validity of the system.

scholarly journals Microgrids Connected to the Residential grid for Energy Management Utility Fuzzy Logic Controller Employed Hybrid Electric Vehicles

2019 ◽  
Vol 8 (6S2) ◽  
pp. 113-117 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Electric Energy ◽  
Energy Storage System ◽  
Energy Sources ◽  
Pv Panel ◽  
Hybrid Electric

In our research design presents the model of managing the energy for residential purpose and for hybrid vehicle simultaneously. This system integrated with reusable energy storage system such as PV panel and battery. Our energy management system approaches the goal to satisfy power needed and to minimize the fluctuation in power microgrid. We designed the model with the fuzzy logic controller in order to optimize the microgrid power constantly. The energy sources retrieved and given to hybrid electric vehicle and residential purpose. Now a day’s most of the vehicles are hybrid mostly runs on either in fuel or by electric energy else by both energy sources. In order to achieve the maximum power throughput, we proposed the bidirectional converter is connected with PV panel and microgrid. The designed fuzzy logic controller to manage the lifetime of battery and to provide the constant discharge. The entire vehicle setup module is connected to microgrid

Designing a High Voltage Energy Storage System for a Parallel-Through-The-Road Plug-In Hybrid Electric Vehicle

2013 ◽  
Author(s):  
Bryan Whitney Belt ◽  
Adam Fogarty ◽  
Kevin Oswald ◽  
Gregory Shaver ◽  
Peter Meckl ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
High Voltage ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Energy Storage System ◽  
The Road ◽  
Hybrid Electric
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