Design an Intelligent Neural-Fuzzy Controller for Hybrid Motorcycle

Liu, Yao-Lun; Tong, Chia-Chang; Jwo, Wu-Shun; Lin, Shuen-Jeng

doi:10.1109/nafips.2007.383852

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…The last barrier to commercialization is cost-a true challenge-as fuel cells are still extremely expensive today. Many parts used to work with fuel cells (e.g., power electronic converters) must be custom-made and can be very expensive as a result [66]. However, these costs will decrease as technological processes are improved and components are mass-produced.…”

Section: Fuel Cell Hybrid Vehiclesmentioning

confidence: 99%

“…Conversely, during steady-state highway conditions, the electric motor would be off, while the ICE would power the vehicle to induce a long driving range by utilizing the high energy density of the fuel [65]. In the parallel configuration, one can also operate both the ICE and the electric motor together when the torque demand is greater than the torque produced by either the ICE or the electric motor independently [66]. Since both power sources can be operated in unison when torque demands are high, it allows both the engine and the motor to be scaled down in size, since most of the time the drive cycle will not have a high torque demand.…”

Section: Parallel Hybridmentioning

confidence: 99%

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Hydrogen Fuel Cell Vehicles; Current Status and Future Prospect

et al. 2019

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The hazardous effects of pollutants from conventional fuel vehicles have caused the scientific world to move towards environmentally friendly energy sources. Though we have various renewable energy sources, the perfect one to use as an energy source for vehicles is hydrogen. Like electricity, hydrogen is an energy carrier that has the ability to deliver incredible amounts of energy. Onboard hydrogen storage in vehicles is an important factor that should be considered when designing fuel cell vehicles. In this study, a recent development in hydrogen fuel cell engines is reviewed to scrutinize the feasibility of using hydrogen as a major fuel in transportation systems. A fuel cell is an electrochemical device that can produce electricity by allowing chemical gases and oxidants as reactants. With anodes and electrolytes, the fuel cell splits the cation and the anion in the reactant to produce electricity. Fuel cells use reactants, which are not harmful to the environment and produce water as a product of the chemical reaction. As hydrogen is one of the most efficient energy carriers, the fuel cell can produce direct current (DC) power to run the electric car. By integrating a hydrogen fuel cell with batteries and the control system with strategies, one can produce a sustainable hybrid car.

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Section: Fuel Cell Hybrid Vehiclesmentioning

confidence: 99%

Section: Parallel Hybridmentioning

confidence: 99%

Hydrogen Fuel Cell Vehicles; Current Status and Future Prospect

et al. 2019

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“…Moody et al Projected RBF-NN with a single hidden layer to impersonator the methodical preparation of preventive modification in the human mind [35]. The RBF-NN crops the sturdiest reply near the midpoint of the Gaussian-kernel function where apiece hidden node in the input data space container be stored as a local sensor and the RBF-NN is considered as a local approximation model for the skillful processes [36][37][38].…”

Section: Radial Basis Function Networkmentioning

confidence: 99%

PLC Fuzzy PID Controller of MPPT of Solar Energy Converter

Gizi

2021

Wseas Transactions on Systems and Control

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Development of the Maximum-Power-Point-Tracking (MPPT) scheme for solar mounts and rectifiers leftovers interesting. We design of high-sensitive fuzzy (HSF) Proportional-Integral-Derivative (PIDC) controller by means of Matlab and Programmable-Logic-Controllers (PLCs) for an adjusted of the MPPT scheme. This proposal is founded on a synergistic mixture of the Radial-Basis-Function-Neural Network (RBF-NN), Genetic Algorithm (GA), and Sugeno-Fuzzy-Logic (SFL) systems. The finest limits of PIDC and MPPT are strong-minded through optimization, wherever RBF-NN is adjusted by means of GA to reach the best key. Also, RBF-NN is rummage-sale to improve the PID limits (got from GA) for scheming HSFL-PIDC of the MPPT scheme. The HSFL-PIDC controller is extra planned to transfer in PLCs (STEP 75.5) for implementing the photovoltaic (PV) scheme. The all-inclusive scheme is extra tuned by solar limits under numerous operational circumstances to advance the solar recital in terms of accusing and correcting. The recital of the planned analog employed MPPT controller is assessed by interfacing it with a hardware prototype of dual photovoltaic (PV) scheme. The mixture controller configured the regulator signal founded on the interaction and in that way reduces the voltage mistake and the oscillation in the voltage regulator process. The achieved scheme is established to be well-organized and robust in refining solar charging and rectifying capability .

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“…As the hybrid motorcycle is a sport one, it is requested that the best use of the electrical machine is achieved in terms of supplied torque boost that has to be provided while avoiding excessive stress of the battery, to prevent damages and possible safety issues. Other approaches may be taken, such as acting on the armature current of the motor, [e.g., with fuzzy-logic controllers (Liu et al, 2007)] or on the power split between the two propulsion systems (Chen et al, 2011).…”

Section: Control Strategiesmentioning

confidence: 99%

Validating power management strategies for hybrid sport motorcycles: a virtual prototyping approach

Maran

Simoi²,

Beghi

et al. 2017

IJVSMT

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In this paper, we consider the problem of assessing the performance of different power management strategies for a hybrid, 125cc sport motorbike. The electrical machine is used to obtain a torque boost during accelerations, with reduced emissions. Being a sport motorcycle, impact of the hybridisation on performance in terms of handling has to be carefully evaluated. To this aim, a virtual environment has been realised, that allows to describe in detail the vehicle dynamics, as well as the characteristics of the hybrid power train. The simulation environment is completed by a virtual rider and a tool for building test circuits. The virtual environment is used to evaluate two different power management strategies, based on a standard heuristic and on torque-split optimal control strategies, respectively. Results of simulations on a virtual track and of field tests are included.

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Design an Intelligent Neural-Fuzzy Controller for Hybrid Motorcycle

Cited by 5 publications

References 17 publications

Hydrogen Fuel Cell Vehicles; Current Status and Future Prospect

Hydrogen Fuel Cell Vehicles; Current Status and Future Prospect

PLC Fuzzy PID Controller of MPPT of Solar Energy Converter

Validating power management strategies for hybrid sport motorcycles: a virtual prototyping approach

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