Towards real-time magnetic dosimetry simulations for inductive charging systems. Issue 3 (18th October 2021)

• Record Type: Journal Article
• Authors: Haussmann, Norman; Zang, Martin; Mease, Robin; Clemens, Markus; Schmuelling, Benedikt; Bolten, Matthias
• Is Part Of: Compel. Volume 41:Issue 3(2022)
• Page Start: 878
• Page End: 888
• Publication Date: 2021-10-18
• Subjects: Inductive power transfer -- Finite difference method -- GPU computing -- Inductive charging -- Magnetic dosimetry -- Real-time; Electrical engineering -- Data Processing -- Periodicals; Electrical engineering -- Mathematics -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Data Processing -- Periodicals; Electronics -- Mathematics -- Periodicals; 621.3
• DOI: 10.1108/COMPEL-03-2021-0084
• Languages: English
• ISSNs: 0332-1649

Abstract

Abstract : Purpose: Inductive charging systems for electrically powered cars produce a magneto-quasistatic field and organism in the vicinity might be exposed to that field. Magneto-quasistatic fields induce electric fields in the human body that should not exceed limits given by the International Commission of Non-Ionizing Radiation protection (ICNIRP) to ensure that no harm is done to the human body. As these electric fields cannot be measured directly, they need to be derived from the measured magnetic flux densities. To get an almost real-time estimation of the harmfulness of the magnetic flux density to the human body, the electric field needs to be calculated within a minimal computing time. The purpose of this study is to identify fast linear equations solver for the discrete Poisson system of the Co-Simulation Scalar Potential Finite Difference scheme on different graphics processing unit systems. Design/methodology/approach: The determination of the exposure requires a fast linear equations solver for the discrete Poisson system of the Co-Simulation Scalar Potential Finite Difference (Co-Sim. SPFD) scheme. Here, the use of the AmgX library on NVIDIA GPUs is presented for this task. Findings: Using the AmgX library enables solving the equation system resulting from an ICNIRP recommended human voxel model resolution of 2 mm in less than 0.5 s on a single NVIDIA Tesla V100 GPU. Originality/value: This work is one essential advancement to determine the exposure of humans from wireless charging system in near real-time from in situ magnetic flux density measurements.