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MatDWPT: Optimizing Resonance Compensation for Dynamic EV Charging

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DataCite Commons2025-02-06 更新2025-04-16 收录
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https://ieee-dataport.org/documents/matdwpt-optimizing-resonance-compensation-dynamic-ev-charging
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This app presents an innovative methodology for designing resonance compensation in dynamic wireless power transfer (DWPT) systems for electric vehicles (EVs). The proposed technique leverages an optimization algorithm to identify the optimal combination of components that maximizes transferred power while maintaining high transmission efficiency, achieving an effective trade-off between these key performance metrics. Unlike conventional design approaches, this method incorporates component tolerances and employs Monte Carlo simulations to estimate the probability of meeting desired performance criteria.This probabilistic analysis accounts for the combined effects of multiple tolerances, providing a robust evaluation of the solution's reliability by considering both manufacturing variations and aging effects. Designers can leverage this probabilistic insight to refine their choices, whether by selecting components with stricter tolerances or exploring alternative designs.
提供机构:
IEEE DataPort
创建时间:
2025-02-06
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