A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles

Agrawal, Himanshi; Talwariya, Akash; Gill, Amandeep; Singh, Aman; Alyami, Hashem; Alosaimi, Wael; Ortega-Mansilla, Arturo

doi:10.3390/en15093300

Cited by 15 publications

(2 citation statements)

References 26 publications

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“…A fuzzy set expands a classical set as in Boolean form expansion. Fuzzy logic has been proven superior to classical logic on numerous occasions [8]. Standard clauses that use fuzzy logic allow for more truth solutions within its membership function than just a true or false in each variable.…”

Section: Randomised Alpha-cut Fuzzy Logicmentioning

confidence: 99%

Randomised Alpha-Cut Fuzzy Logic Hybrid Model in Solving 3-Satisfiability Hopfield Neural Network

Azizan

Sathasivam²

2023

Mal. J. Fund. Appl. Sci.

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This paper proposes an innovative approach to improve the performance of 3SAT logic programming in the Hopfield neural network. The merged structures of the 3SAT and Hopfield network have specific weaknesses, one of which is that, at times, the system attained local minimum solutions rather than global minimum solutions. A new model of integration randomised alpha-cut fuzzy logic with 3SAT in the Hopfield network is built to convey information more effectively. 3SAT and fuzzy logic can work together to solve Hopfield networks' combinatorial optimisation issues. Procedures of fuzzifying and defuzzifying the neurons might ease the computational burden of determining the correct neuron states. Until the proper neuron state is established, unsatisfied neuron clauses will be modified using a randomised alpha-cut approach in the defuzzifier step. An incorporated design built a random approach to select the alpha-cut values of 0.1, 0.25, and 0.5. At this point, a fuzzy value switches into a crisp output back through the defuzzifier process. Based on the results obtained, the proposed hybrid strategy effectively improves the indicators of RMSE, SSE, MAE, MAPE, global minima and total computational time. A computer-generated data set was used to measure how well the hybridised techniques performed. The performance of the proposed network was trained and validated using Matlab 2020b. The results are significant because this model significantly affects how successfully Hopfield networks merged with fuzzy logic can tackle the 3SAT challenges. The obtained data and ideas will help to create novel approaches to data collection for upcoming logic programming exploration.

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Section: Randomised Alpha-cut Fuzzy Logicmentioning

confidence: 99%

Randomised Alpha-Cut Fuzzy Logic Hybrid Model in Solving 3-Satisfiability Hopfield Neural Network

Azizan

Sathasivam²

2023

Mal. J. Fund. Appl. Sci.

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“…Today, one trend in the field of electrical engineering is the integration of renewable energy sources in almost all engineering disciplines [1][2][3][4]. For instance, wind, solar, and tidal energies, which are clean and renewable sources, have successfully replaced the conventional methods of electricity production.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Speed Control and Performance Investigation of a Vector Controlled Electric Vehicle Considering Driving Cycles

et al. 2022

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In this paper, battery electric vehicle (BEV) controllers are smartly tuned with particle swarm optimization (PSO) and genetic algorithm (GA) to ensure good speed regulation. Intelligent tuning is ensured with a proposed and well-defined cost function that aims to satisfy the design requirements in terms of minimum overshoot, fast response, and tolerable steady state input. Two proposed cost functions are formulated for both simple speed input and for driving cycles. The BEV is controlled with the field oriented control technique (FOC), and it is driven by a permanent magnet synchronous motor (PMSM). An efficient control scheme based on FOC is built using a simplified closed loop control system including BEV components such as regulators, inverter, traction machine, and sensors. Simulation results show that the optimum controller gains obtained by intelligent tuning have resulted in satisfactory BEV performance that sustains the harsh environmental conditions. Robustness tests against BEV parameter changes and environmental parameter variations confirmed the effectiveness of intelligent tuning methods.

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Simulation of Battery Management System for Protection in Electric Vehicle Against the Battery Failures

Paliwal,

Gill,

Singh

2023

Lecture Notes in Electrical Engineering

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A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles

Cited by 15 publications

References 26 publications

Randomised Alpha-Cut Fuzzy Logic Hybrid Model in Solving 3-Satisfiability Hopfield Neural Network

Randomised Alpha-Cut Fuzzy Logic Hybrid Model in Solving 3-Satisfiability Hopfield Neural Network

Intelligent Speed Control and Performance Investigation of a Vector Controlled Electric Vehicle Considering Driving Cycles

Simulation of Battery Management System for Protection in Electric Vehicle Against the Battery Failures

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