Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions

Raquel de los A. Salas Ibarra; Alexander E. Torres Romero; David H. Cárdenas Villacrés

doi:10.1007/978-3-031-75431-9_22

Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions

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

Abstract

This paper deals with the characterization of the vibration frequency spectrum of the electric motor in the power train of a hybrid vehicle. This analysis is carried out using a vibration analyzer as a measurement instrument and Minitab software for processing the numerical data obtained. The numerical data collected in each experiment allow an accurate evaluation of the significant differences in power consumption, both in the charging and discharging phases. In order to meet the proposed objectives, we proceed with the characterization of the vibration spectrum of the electric motor of the hybrid vehicle powertrain under controlled conditions, which include both the charging and discharging phases, as well as the operation of the air conditioning system at its maximum capacity. The acquisition of this data is carried out using Dewesoft software. Subsequently, analysis of variance is used to process and filter the collected data. The null hypothesis was accepted, since the results exceeded the significance level set at 0.005, with a confidence interval of 99.5% for normal distribution and 99% for ANOVA analysis.

Original language	English
Title of host publication	Information and Communication Technologies - 12th Ecuadorian Conference, TICEC 2024, Proceedings
Editors	Santiago Berrezueta-Guzman, Rommel Torres, Jorge Luis Zambrano-Martinez, Jorge Herrera-Tapia
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	333-344
Number of pages	12
ISBN (Print)	9783031754302
DOIs	https://doi.org/10.1007/978-3-031-75431-9_22
State	Published - 2025
Event	12th Ecuadorian Conference on Information and Communication Technologies, TICEC 2024 - Loja, Ecuador Duration: 16 Oct 2024 → 18 Oct 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2273 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	12th Ecuadorian Conference on Information and Communication Technologies, TICEC 2024
Country/Territory	Ecuador
City	Loja
Period	16/10/24 → 18/10/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

ANOVA
FFT
Frequency
Johnson Transform
Power Train
Spectrum

CACES Knowledge Areas

316A Software and Applications Development and Analysis

Access to Document

10.1007/978-3-031-75431-9_22

Cite this

Salas Ibarra, R. D. L. A., Torres Romero, A. E., & Cárdenas Villacrés, D. H. (2025). Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions. In S. Berrezueta-Guzman, R. Torres, J. L. Zambrano-Martinez, & J. Herrera-Tapia (Eds.), Information and Communication Technologies - 12th Ecuadorian Conference, TICEC 2024, Proceedings (pp. 333-344). (Communications in Computer and Information Science; Vol. 2273 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-75431-9_22

Salas Ibarra, Raquel de los A. ; Torres Romero, Alexander E. ; Cárdenas Villacrés, David H. / Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions. Information and Communication Technologies - 12th Ecuadorian Conference, TICEC 2024, Proceedings. editor / Santiago Berrezueta-Guzman ; Rommel Torres ; Jorge Luis Zambrano-Martinez ; Jorge Herrera-Tapia. Springer Science and Business Media Deutschland GmbH, 2025. pp. 333-344 (Communications in Computer and Information Science).

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abstract = "This paper deals with the characterization of the vibration frequency spectrum of the electric motor in the power train of a hybrid vehicle. This analysis is carried out using a vibration analyzer as a measurement instrument and Minitab software for processing the numerical data obtained. The numerical data collected in each experiment allow an accurate evaluation of the significant differences in power consumption, both in the charging and discharging phases. In order to meet the proposed objectives, we proceed with the characterization of the vibration spectrum of the electric motor of the hybrid vehicle powertrain under controlled conditions, which include both the charging and discharging phases, as well as the operation of the air conditioning system at its maximum capacity. The acquisition of this data is carried out using Dewesoft software. Subsequently, analysis of variance is used to process and filter the collected data. The null hypothesis was accepted, since the results exceeded the significance level set at 0.005, with a confidence interval of 99.5\% for normal distribution and 99\% for ANOVA analysis.",

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author = "\{Salas Ibarra\}, \{Raquel de los A.\} and \{Torres Romero\}, \{Alexander E.\} and \{C{\'a}rdenas Villacr{\'e}s\}, \{David H.\}",

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Salas Ibarra, RDLA, Torres Romero, AE & Cárdenas Villacrés, DH 2025, Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions. in S Berrezueta-Guzman, R Torres, JL Zambrano-Martinez & J Herrera-Tapia (eds), Information and Communication Technologies - 12th Ecuadorian Conference, TICEC 2024, Proceedings. Communications in Computer and Information Science, vol. 2273 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 333-344, 12th Ecuadorian Conference on Information and Communication Technologies, TICEC 2024, Loja, Ecuador, 16/10/24. https://doi.org/10.1007/978-3-031-75431-9_22

Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions. / Salas Ibarra, Raquel de los A.; Torres Romero, Alexander E.; Cárdenas Villacrés, David H.
Information and Communication Technologies - 12th Ecuadorian Conference, TICEC 2024, Proceedings. ed. / Santiago Berrezueta-Guzman; Rommel Torres; Jorge Luis Zambrano-Martinez; Jorge Herrera-Tapia. Springer Science and Business Media Deutschland GmbH, 2025. p. 333-344 (Communications in Computer and Information Science; Vol. 2273 CCIS).

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

TY - GEN

T1 - Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions

AU - Salas Ibarra, Raquel de los A.

AU - Torres Romero, Alexander E.

AU - Cárdenas Villacrés, David H.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

N2 - This paper deals with the characterization of the vibration frequency spectrum of the electric motor in the power train of a hybrid vehicle. This analysis is carried out using a vibration analyzer as a measurement instrument and Minitab software for processing the numerical data obtained. The numerical data collected in each experiment allow an accurate evaluation of the significant differences in power consumption, both in the charging and discharging phases. In order to meet the proposed objectives, we proceed with the characterization of the vibration spectrum of the electric motor of the hybrid vehicle powertrain under controlled conditions, which include both the charging and discharging phases, as well as the operation of the air conditioning system at its maximum capacity. The acquisition of this data is carried out using Dewesoft software. Subsequently, analysis of variance is used to process and filter the collected data. The null hypothesis was accepted, since the results exceeded the significance level set at 0.005, with a confidence interval of 99.5% for normal distribution and 99% for ANOVA analysis.

AB - This paper deals with the characterization of the vibration frequency spectrum of the electric motor in the power train of a hybrid vehicle. This analysis is carried out using a vibration analyzer as a measurement instrument and Minitab software for processing the numerical data obtained. The numerical data collected in each experiment allow an accurate evaluation of the significant differences in power consumption, both in the charging and discharging phases. In order to meet the proposed objectives, we proceed with the characterization of the vibration spectrum of the electric motor of the hybrid vehicle powertrain under controlled conditions, which include both the charging and discharging phases, as well as the operation of the air conditioning system at its maximum capacity. The acquisition of this data is carried out using Dewesoft software. Subsequently, analysis of variance is used to process and filter the collected data. The null hypothesis was accepted, since the results exceeded the significance level set at 0.005, with a confidence interval of 99.5% for normal distribution and 99% for ANOVA analysis.

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Salas Ibarra RDLA, Torres Romero AE , Cárdenas Villacrés DH. Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions. In Berrezueta-Guzman S, Torres R, Zambrano-Martinez JL, Herrera-Tapia J, editors, Information and Communication Technologies - 12th Ecuadorian Conference, TICEC 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 333-344. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-75431-9_22

Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle Under Controlled Operating Conditions

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

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