Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers

Masood Moghaddami; Aditya Sundararajan; Arif I. Sarwat

doi:10.1109/ITEC-India.2017.8333848

Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers

Masood Moghaddami, Aditya Sundararajan, Arif I. Sarwat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

A sensorless electric vehicle (EV) detection mechanism for inductive charging stations is proposed. The proposed method is based on the detection of small resonance frequency deviations from the nominal resonance frequency which are due to the presence of the vehicle. Self-tuning controllers are utilized for fast and accurate resonance frequency tracking in inductive charging systems. The proposed method uses the transmitter magnetic structure of inductive charging systems at very low power for vehicle detection and thereby, eliminates the need for sensor-based detection mechanisms. The proposed method is simulated using 2D and 3D finite element analysis (FEA) and the results are presented. The results show that in a typical inductive charging station, vehicles can be detected within 1.5 meters from the transmitter pad.

Original language	English
Title of host publication	2017 IEEE Transportation Electrification Conference, ITEC-India 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538626689
DOIs	https://doi.org/10.1109/ITEC-India.2017.8333848
State	Published - Jul 2 2017
Externally published	Yes
Event	2017 IEEE Transportation Electrification Conference, ITEC-India 2017 - Pune, India Duration: Dec 13 2017 → Dec 15 2017

Publication series

Name	2017 IEEE Transportation Electrification Conference, ITEC-India 2017
Volume	2018-January

Conference

Conference	2017 IEEE Transportation Electrification Conference, ITEC-India 2017
Country/Territory	India
City	Pune
Period	12/13/17 → 12/15/17

Funding

This work was funded by the National Science Foundation under grant number 1541108.

Keywords

electric vehicle
inductive power transfer
sensorless detection
vehicle detection

Access to Document

10.1109/ITEC-India.2017.8333848

Cite this

Moghaddami, M., Sundararajan, A., & Sarwat, A. I. (2017). Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers. In 2017 IEEE Transportation Electrification Conference, ITEC-India 2017 (pp. 1-4). (2017 IEEE Transportation Electrification Conference, ITEC-India 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC-India.2017.8333848

Moghaddami, Masood ; Sundararajan, Aditya ; Sarwat, Arif I. / Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers. 2017 IEEE Transportation Electrification Conference, ITEC-India 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-4 (2017 IEEE Transportation Electrification Conference, ITEC-India 2017).

@inproceedings{0dccd5a998c44a6e8a62b81e1b377f6a,

title = "Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers",

abstract = "A sensorless electric vehicle (EV) detection mechanism for inductive charging stations is proposed. The proposed method is based on the detection of small resonance frequency deviations from the nominal resonance frequency which are due to the presence of the vehicle. Self-tuning controllers are utilized for fast and accurate resonance frequency tracking in inductive charging systems. The proposed method uses the transmitter magnetic structure of inductive charging systems at very low power for vehicle detection and thereby, eliminates the need for sensor-based detection mechanisms. The proposed method is simulated using 2D and 3D finite element analysis (FEA) and the results are presented. The results show that in a typical inductive charging station, vehicles can be detected within 1.5 meters from the transmitter pad.",

keywords = "electric vehicle, inductive power transfer, sensorless detection, vehicle detection",

author = "Masood Moghaddami and Aditya Sundararajan and Sarwat, \{Arif I.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Transportation Electrification Conference, ITEC-India 2017 ; Conference date: 13-12-2017 Through 15-12-2017",

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language = "English",

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Moghaddami, M, Sundararajan, A & Sarwat, AI 2017, Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers. in 2017 IEEE Transportation Electrification Conference, ITEC-India 2017. 2017 IEEE Transportation Electrification Conference, ITEC-India 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2017 IEEE Transportation Electrification Conference, ITEC-India 2017, Pune, India, 12/13/17. https://doi.org/10.1109/ITEC-India.2017.8333848

Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers. / Moghaddami, Masood; Sundararajan, Aditya; Sarwat, Arif I.
2017 IEEE Transportation Electrification Conference, ITEC-India 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4 (2017 IEEE Transportation Electrification Conference, ITEC-India 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers

AU - Moghaddami, Masood

AU - Sundararajan, Aditya

AU - Sarwat, Arif I.

PY - 2017/7/2

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N2 - A sensorless electric vehicle (EV) detection mechanism for inductive charging stations is proposed. The proposed method is based on the detection of small resonance frequency deviations from the nominal resonance frequency which are due to the presence of the vehicle. Self-tuning controllers are utilized for fast and accurate resonance frequency tracking in inductive charging systems. The proposed method uses the transmitter magnetic structure of inductive charging systems at very low power for vehicle detection and thereby, eliminates the need for sensor-based detection mechanisms. The proposed method is simulated using 2D and 3D finite element analysis (FEA) and the results are presented. The results show that in a typical inductive charging station, vehicles can be detected within 1.5 meters from the transmitter pad.

AB - A sensorless electric vehicle (EV) detection mechanism for inductive charging stations is proposed. The proposed method is based on the detection of small resonance frequency deviations from the nominal resonance frequency which are due to the presence of the vehicle. Self-tuning controllers are utilized for fast and accurate resonance frequency tracking in inductive charging systems. The proposed method uses the transmitter magnetic structure of inductive charging systems at very low power for vehicle detection and thereby, eliminates the need for sensor-based detection mechanisms. The proposed method is simulated using 2D and 3D finite element analysis (FEA) and the results are presented. The results show that in a typical inductive charging station, vehicles can be detected within 1.5 meters from the transmitter pad.

KW - electric vehicle

KW - inductive power transfer

KW - sensorless detection

KW - vehicle detection

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DO - 10.1109/ITEC-India.2017.8333848

M3 - Conference contribution

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Moghaddami M, Sundararajan A, Sarwat AI. Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers. In 2017 IEEE Transportation Electrification Conference, ITEC-India 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-4. (2017 IEEE Transportation Electrification Conference, ITEC-India 2017). doi: 10.1109/ITEC-India.2017.8333848

Sensorless electric vehicle detection in inductive charging stations using self-tuning controllers

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