Accurate Maximum Power Tracking of Wireless Power Transfer System Based on Simulated Annealing Algorithm

Lin, Zhongzheng; Wang, Junhua; Fang, Zhijian; Guo, Kang-Xian; Cai, Changsong; Zhang, Junkun

doi:10.1109/access.2018.2876470

Cited by 33 publications

(20 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…Therefore, when the system's input impedance is equal to a certain value, the WPT system will reach the critical coupling point. According to [24]- [26] and the maximum power transfer theorem, the real part of the system's input impedance is equal to that of the internal impedance under the excitation power supply; the imaginary part of system input impedance is 0, which is the necessary condition for realizing the maximum transfer power.…”

Section: Simulation Analysismentioning

confidence: 99%

Influences of Coil Radius on Effective Transfer Distance in WPT System

et al. 2019

View full text Add to dashboard Cite

The improvement of effective transfer distance is significant for wireless power transfer (WPT) via coupled magnetic resonances, with coil radius being the most important influencing factor. To study the relationship between effective transfer distance and coil radius, a model of WPT is established at first. Based on analyses of circuit and magnetic field, the influencing factors for effective transfer distance are obtained. Second, the models of WPT are constructed using software COMSOL, and the influences of Tx and Rx coil radius on the effective transfer distance are studied in detail. In addition, they are not proportional and the coil impedance is the most important factor. On this basis, a coil design method is proposed. Finally, an experiment device was built, and experimental results were well consistent with the theoretical analysis, showing the rationality and effectiveness of the proposed method.

show abstract

“…One of the key challenges is to improve the efficiency of PV power by tracking the maximum power point, which is the basis for improving PV utilization and prosumer energy management [2]. A series of maximum power point tracking control algorithms (such as hill-climbing [3], perturbation method [4], and observation method [5]) are proposed to improve the efficiency, which demonstrate good performance mainly under single peak condition. However, the power-voltage (P-U) curve of PV array shows multi-peak characteristic in many cases of partial shadow.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Producer Group-Search-Optimization Method-Based Maximum-Power-Point-Tracking for Uniform and Partial Shading Condition

Chen

Liu

et al. 2020

IEEE Access

View full text Add to dashboard Cite

The power-voltage (P-U) curve of PV array shows multiple power points, which brings challenges to fast and accurately tracking of the global maximum power point. Considering the nonlinearity and the multi-peak characteristics of PV array output curve under the condition of partial shadow, a multiproducer group search optimization (MGSO) method for maximum power point tracking (MPPT) is proposed in this paper. In the MGSO, the characteristics and operations of three categories of members, including producers, scroungers, and rangers, are set according to the P-U characteristics. The number of producers is determined by the number of peaks. The initial position of each producer locates dispersedly to each peak region which makes the producers not fall into local optimum. The search strategy is simplified by the proposed angle transformation function of scroungers and omitting the ranger. The results of simulation and comparison demonstrate that the proposed MGSO method can effectively track the maximum power point under the uniform irradiance or partially shaded conditions, and also increase the utilization of solar energy.

show abstract

Accurate Maximum Power Tracking of Wireless Power Transfer System Based on Simulated Annealing Algorithm

Cited by 33 publications

References 25 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

Influences of Coil Radius on Effective Transfer Distance in WPT System

A Multi-Producer Group-Search-Optimization Method-Based Maximum-Power-Point-Tracking for Uniform and Partial Shading Condition

Contact Info

Product

Resources

About