Abstract：The inductive power transfer (IPT) system based on the traditional full resonance parameter design method presents the best performance only when the transmitting and receiving coils are fully coupled. Usually, the primary coil is fixed, and the position of the secondary coil is uncertain for human factors, causing lateral and longitudinal misalignment of the magnetic coupling mechanism. This misalignment of the magnetic coupling mechanism directly leads to the variation of the coupling coefficient, which may lead to a wide range of output voltage fluctuation and efficiency reduction. To obtain a relatively constant output voltage and operate efficiently under coupling coefficient and load variations, this paper overcomes the limitations of the traditional full resonance parameter design method, transforming the compensation topology parameter design problem into a multi-objective optimization problem. Firstly, after analyzing full resonance compensation parameters, the system equations of the IPT system with LCC/S compensation topology are established using the fundamental harmonic approximation (FHA) method. A multi-objective optimization model is established. Herein, compensation topology parameters are used as optimization variables, and output voltage fluctuation reduction and system efficiency improvement are as the optimization objectives. The constraints are maximum inductance passing current, maximum capacitor withstanding voltage, and zero voltage switching (ZVS). Then, a case is designed, and the multi-objective particle swarm optimization (MOPSO) algorithm is used to solve the multi-objective optimization model. Three optimization schemes are selected from the Pareto optimal solution set according to the actual needs, and the simulation analysis is carried out. Finally, based on the multi-objective optimization theory, an experimental platform is built to verify the coupling-independent constant output characteristics and efficient operation characteristics of the compensation parameter design method. The experimental results show that when the coupling coefficient of the IPT system varies in the range of 0.20~0.32, and the equivalent load resistance varies in the range of 50~60 Ω, the output voltage fluctuation rate (VFR) of the optimized scheme is less than 9.0%. In the whole range of coupling coefficient and load variation, the minimum efficiency is 87.5%, and the maximum efficiency is 93.2%. Compared with the efficiency of the traditional scheme (70.0%~86.3%), the efficiency of the optimized scheme is also greatly improved. Different from single-objective optimization, which provides only a single solution, the multi-objective optimization model established in this paper can get the Pareto optimal solution set through the MOPSO algorithm. The decision maker determines the weight of each object according to the actual needs and selects the appropriate design scheme from the Pareto optimal solution set. Thus, the IPT system can still obtain a relatively constant output voltage and operate efficiently when the coupling coefficient and load change. This method has high flexibility and wide applicability. It is suitable for optimizing compensation topologies that satisfy features like coupling and load-independent constant output, high efficiency, low device stress, zero voltage switching, and more.
焦超群, 杨旭, 杨俊峰, 魏斌, 吴晓康. 基于多目标优化理论的耦合无关恒压输出型LCC/S补偿感应电能传输系统[J]. 电工技术学报, 2023, 38(24): 6565-6580.
Jiao Chaoqun, Yang Xu, Yang Junfeng, Wei Bin, Wu Xiaokang. Coupling-Independent Constant-Voltage Output LCC/S Compensation Inductive Power Transfer System Based on Multi-Objective Optimization Theory. Transactions of China Electrotechnical Society, 2023, 38(24): 6565-6580.
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