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Conference Paper: A Bayesian Optimization and Partial Element Equivalent Circuit Approach to Coil Design in Inductive Power Transfer Systems
Title | A Bayesian Optimization and Partial Element Equivalent Circuit Approach to Coil Design in Inductive Power Transfer Systems |
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Authors | |
Issue Date | 2018 |
Publisher | IEEE. |
Citation | 2018 IEEE PELS Workshop on Emerging Technologies: Wireless Power (2018WoW), Montréal, Canada, 3-7 June 2018 How to Cite? |
Abstract | The design of transmitter and receiver coils is essential for Inductive Power Transfer (IPT) systems. However, traditional coil design depends on trial-and-error methods. These methods usually require a great number of finite-element simulations, which is time consuming. This paper adopts a Bayesian Optimization and Partial Element Equivalent Circuit (BO-PEEC) approach for coil design. The Bayesian Optimization (BO) algorithm is used to reduce the number of simulations. Partial Element Equivalent Circuit (PEEC) theory is applied for coil modeling to reduce evaluation time in each simulation. Compared with traditional parametric-sweep-and-finite-element-simulation procedure, the proposed BO-PEEC framework can significantly accelerate the design speed and achieve accurate design. This is verified by both simulations and measurements. |
Description | WoW4: Magnetic Coupler |
Persistent Identifier | http://hdl.handle.net/10722/258104 |
DC Field | Value | Language |
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dc.contributor.author | Fang, Y | - |
dc.contributor.author | Pong, MH | - |
dc.date.accessioned | 2018-08-22T01:33:03Z | - |
dc.date.available | 2018-08-22T01:33:03Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | 2018 IEEE PELS Workshop on Emerging Technologies: Wireless Power (2018WoW), Montréal, Canada, 3-7 June 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10722/258104 | - |
dc.description | WoW4: Magnetic Coupler | - |
dc.description.abstract | The design of transmitter and receiver coils is essential for Inductive Power Transfer (IPT) systems. However, traditional coil design depends on trial-and-error methods. These methods usually require a great number of finite-element simulations, which is time consuming. This paper adopts a Bayesian Optimization and Partial Element Equivalent Circuit (BO-PEEC) approach for coil design. The Bayesian Optimization (BO) algorithm is used to reduce the number of simulations. Partial Element Equivalent Circuit (PEEC) theory is applied for coil modeling to reduce evaluation time in each simulation. Compared with traditional parametric-sweep-and-finite-element-simulation procedure, the proposed BO-PEEC framework can significantly accelerate the design speed and achieve accurate design. This is verified by both simulations and measurements. | - |
dc.language | eng | - |
dc.publisher | IEEE. | - |
dc.relation.ispartof | IEEE PELS Workshop on Emerging Technologies: Wireless Power (WoW) | - |
dc.rights | IEEE PELS Workshop on Emerging Technologies: Wireless Power (WoW). Copyright © IEEE. | - |
dc.title | A Bayesian Optimization and Partial Element Equivalent Circuit Approach to Coil Design in Inductive Power Transfer Systems | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Pong, MH: mhp@eee.hku.hk | - |
dc.identifier.authority | Pong, MH=rp00163 | - |
dc.identifier.hkuros | 286755 | - |
dc.publisher.place | United States | - |