Wideband Equivalent Circuit Model and Parameter Computation of Automotive Ignition Coil Based on Finite Element Analysis

Authors

  • Jia Jin State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, China
  • Wang Quan-di State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, China
  • Yu Ji- hui State Key Laboratory of Power Transmission Equipment & System Security and New Technology, College of Electrical Engineering, Chongqing University Chongqing, 400044 China
  • Zheng Ya-li State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400030, China

Keywords:

Wideband Equivalent Circuit Model and Parameter Computation of Automotive Ignition Coil Based on Finite Element Analysis

Abstract

This paper presents a coupled fieldcircuit method to predict the wideband characteristic of ignition coils. A lumped circuit model is proposed, which separates the winding of ignition coil into individual sections. In this circuit model, the capacitance between sections, turn-toturn series capacitance of each single section and inductance of winding are calculated by Finite Element Analysis (FEA). This parameter identification is based on the energy principle. In addition, this paper analyzes the influence of frequency on the magnetic-flux distribution and the inductance, using the finite-element model with T- ? formulation. The parameter inductance applied to the circuit model is classified into high frequency inductance and low frequency inductance. Through contrasting the measured and calculated result in frequency and time domain, reliability and feasibility of the presented method in this paper is verified.

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Published

2022-06-17

How to Cite

[1]
J. . Jin, W. . Quan-di, Y. J.-. hui, and Z. . Ya-li, “Wideband Equivalent Circuit Model and Parameter Computation of Automotive Ignition Coil Based on Finite Element Analysis”, ACES Journal, vol. 25, no. 7, pp. 612–619, Jun. 2022.

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General Submission