The Parameters Optimization of MCR-WPT System Based on the Improved Genetic Simulated Annealing Algorithm

Lu, Sheng; Zuo, Chenyang; Piao, Changhao

doi:10.1155/2015/174868

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…After more than half a century of development, the SA algorithm has been improved in many fields and made breakthroughs [16][17][18]. In the field of wireless power transfer, SA algorithms have been widely applied in the optimization of system's electrical parameters [19] and the research of output control [20]. However, the SA algorithm needs to abstract a "temperature" that is decoupled from other design parameters, so it is rarely used in coils' dimensional-parameter optimization.…”

Section: Improved Sa Algorithmmentioning

confidence: 99%

Magnetic Coupler Robust Optimization Design for Electric Vehicle Wireless Charger Based on Improved Simulated Annealing Algorithm

Wang

Deng

et al. 2022

Automot. Innov.

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Fleets of autonomous vehicles including shuttle buses, freight trucks, and road sweepers will be deployed in the Olympic Village during Beijing 2022 Winter Olympics. This requires intelligent charging infrastructure based on wireless power transfer technology to be equipped. To increase the misalignment tolerance of a high-power wireless charger, the robustness of the magnetic coupler should be optimized. This paper presents a new type of unipolar coupler, which is composed of three connected coils in series. The dimensional configuration of the coils is analyzed by the finite element method. The characteristic parameters of the coil are identified with their influence on the self-inductance and coupling coefficient. An expert model is built, whose feasibility can be verified in the aimed design domain. Combined with the expert model, an improved simulated annealing algorithm with a backtracking mechanism is proposed. The primary coil can reach the expected characteristics from any starting parameter combination through the proposed optimization algorithm. Under the same conditions in terms of external circuit parameters, ferrite usage, and aluminum shielding, the offset sensitivity of the magnetic coupler can be reduced from 58.79% to 18.89%. A prototype is established, validating the feasibility of the proposed coil structure with the optimized parameter algorithm.

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Section: Improved Sa Algorithmmentioning

confidence: 99%

Magnetic Coupler Robust Optimization Design for Electric Vehicle Wireless Charger Based on Improved Simulated Annealing Algorithm

Wang

Deng

et al. 2022

Automot. Innov.

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“…In the SA steps [21], a new solution S is produced by neighborhood structure and a generation method. The neighborhood structure gives a set of solutions Sk which is more or less "close" to the current solution , The generation method is a step used to select a new solution in the vicinity of the S solutions.…”

Section: Crossover and Mutation Matrix In Hfga-aigmentioning

confidence: 99%

A Hybrid Genetic Algorithms and Sequential Simulated Annealing for a Constrained Personal Reassignment Problem to Preferred Posts

Tkatek.¹

2020

IJATCSE

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This paper discusses the implementation of a new hybrid algorithm to efficacy solve a constrained personnel reassignment to preferred posts by generating a high quality and optimal solution. This optimization of posts can be occupied by a qualified employee during a job rotation or redeployment (reassignment) staff operation. This operation is organized by a decision-maker to adapt each post in priority to qualified employees for improving the productivity of enterprise. Generally, this problem is a NP hard problem that has been modeled into a combinatorial optimization problem. Next we have developed a hybrid graph Flow and genetic algorithm called HFGA, to solve it [1]. However, we have noticed that the stagnation phenomenon of this HFGA algorithm is usually persisted producing an increase in the number of iterations and consequently also a significant consummation of CPU time. In order to remedy this problem and improving in parallel the optimal solution and convergence rate, we propose as our first contribution a hybrid genetic HFGA and Adaptive Genetic Immigration AIG operator [2] called HFGA-AIG. In our second contribution, we propose another hybridization of HFGA-AIG with a Simulated Annealing SA sequentially called Hybrid Genetic Simulated Annealing Algorithms HFGA-SA-AIG. Our aim is to obtain an improved solution quality of this NP Hard problem. This proposed algorithm can be adapted to a personnel assignment optimization model and allows us also to ensure an excellent allocation of resources for maximizing the productivity in a multisite entreprise. The obtained numerical results indicate that the HFGA-SA-AIG algorithm outperforms both HFGA-AIG and HFGA. In terms of solution quality and remedying of the stagnation phenomenon.

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“…Zhao et al [17] derive the relationship equation between transmission efficiency and parameters, and introduce genetic algorithm to optimize the solution of transmission efficiency. Lu et al [18] propose an improved genetic simulated annealing algorithm to solve the problem of parameter selection during the design of MCR-WPT. Yin et al [19] analyze the factors affecting the transmission efficiency from the perspective of the system input impedance, and use the particle swarm optimization (PSO) algorithm to optimize the factors.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Modeling and Transmission Efficiency Optimization of MCR-WPT System Based on Monte Carlo-Interior Point Method

Jiang

Xiu

et al. 2023

Electronics

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With the optimization goal of improving the transmission efficiency of the magnetically coupled resonant wireless power transmission (MCR-WPT) system, the influencing factors and suppression methods of frequency splitting phenomenon (FSP) are analyzed from the perspective of input impedance based on the mutual inductance model. Then we propose the Monte Carlo-Interior Point method (MC-IPM) for nonlinear modeling to determine the optimal system parameters while ensuring that the system does not suffer from FSP. Finally, the simulation results show that the proposed method can obtain the optimal parameters faster and achieve higher transmission efficiency. The optimized system can meet the practical requirements and provides a reference value for improving the transmission performance of MCR-WPT.

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The Parameters Optimization of MCR-WPT System Based on the Improved Genetic Simulated Annealing Algorithm

Cited by 6 publications

References 10 publications

Magnetic Coupler Robust Optimization Design for Electric Vehicle Wireless Charger Based on Improved Simulated Annealing Algorithm

Magnetic Coupler Robust Optimization Design for Electric Vehicle Wireless Charger Based on Improved Simulated Annealing Algorithm

A Hybrid Genetic Algorithms and Sequential Simulated Annealing for a Constrained Personal Reassignment Problem to Preferred Posts

Nonlinear Modeling and Transmission Efficiency Optimization of MCR-WPT System Based on Monte Carlo-Interior Point Method

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