Abstract
The capability of misalignment tolerance is a problem of great concern for inductive power transfer (IPT) system, especially with the simultaneous change of load. This paper presents a detailed multi-objective particle swarm optimization (MOPSO) -based parameters design method to minimize the output current fluctuation. Firstly, the parameter design of constant current output (CCO) type LCC-S compensated IPT system is derived in detail. Then, The multi-objective optimization reveals the Pareto trade-offs and performance limitations in the aspect of output current ripple, zero voltage switching (ZVS) demand and component stress. Two group optimal results are obtained with the algorithm, and one set parameters have the minimum output current fluctuation with high stress on components, and the other set parameters make the IPT system have excellent comprehensive characteristics. Finally, the effectiveness of proposed scheme are validated by experimental results.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Yang, J., Guo, J., Tong, Q., Yang, X., Hao, T. (2023). Multi-objective Optimization of IPT System Compensation Parameters for Improving Misalignment Tolerance. In: Ma, C., Zhang, Y., Li, S., Zhao, L., Liu, M., Zhang, P. (eds) The Proceedings of 2022 International Conference on Wireless Power Transfer (ICWPT2022). ICWPT 2022. Lecture Notes in Electrical Engineering, vol 1018. Springer, Singapore. https://doi.org/10.1007/978-981-99-0631-4_47
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DOI: https://doi.org/10.1007/978-981-99-0631-4_47
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