Loss Analysis and Heat Optimization for a 700-mW Inductive Power Transfer System for Implanted Brain-Computer Interface

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Authors: Siyi Yao, Xiyuan Lin, Pengyu Chen, Xiliang Guo, Chengyu Li, Minfan Fu
Cited by: 3
References: 22

Abstract

The growing power demands of implantable medical devices, particularly brain-computer interfaces (BCIs), have driven the adoption of inductive power transfer (IPT) as a reliable and efficient energy delivery method. This paper presents a comprehensive methodology to identify, evaluate, and mitigate ECL in implantable BCIs. Starting from a practical case study, an ECL model is developed to decouple the influence of excitation current and isolate dominant loss mechanisms. A novel identification framework is introduced for efficient analysis, comparison, and measurement of ECL. Through a combination of simulation and experimental validation, both conduction and eddy current losses are optimized independently. Finally, a representative BCI system is co-optimized for coil geometry, wire selection, and phase control to minimize heat generation. This work offers a systematic solution to mitigate thermal risks in next-generation high-power implantable devices.

Fields of Study & Subjects

Wireless Power Transfer Systems Neuroscience and Neural Engineering Wireless Body Area Networks

Publication details

Journal / source
IEEE Transactions on Power Electronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
41
Issue
8
Pages
14202–14213
Publication date
2 March 2026