Mathematical Modelling of Hybrid Powertrain Systems for Improved Energy Efficiency

The development and simulation of a mathematical model for a hybrid powertrain vehicle, aiming to optimize its energy efficiency and dynamic performance is presented in this study. Implemented in MATLAB/Simulink, the model captures the dynamic interactions between the hybrid system's components, including the internal combustion engine, electric motor, and battery. By conducting a full factorial experiment, the specific power of the hybrid vehicle was analyzed, revealing the critical influence of factors such as driving speed, road gradient, and battery state of charge. The proposed model demonstrated a discrepancy of 4-11% between the simulated and experimental results, confirming its adequacy for forecasting energy consumption and operational range. These findings offer valuable insights for enhancing the hybrid vehicle performance and sustainability through precise energy management strategies.

Authors

Publication Details

Journal
Communications - Scientific letters of the University of Zilina
Published
2025-03-19
DOI
https://doi.org/10.26552/com.c.2025.028
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
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article

Mathematical Modelling of Hybrid Powertrain Systems for Improved Energy Efficiency

Ivan Hevko, Андрій Богданович Гупка, Roman Rohatynskyi, Volodymyr Martyniuk et al.
Communications - Scientific letters of the University of Zilina
Electric and Hybrid Vehicle Technologies
article

Mathematical Modelling of Hybrid Powertrain Systems for Improved Energy Efficiency

Ivan Hevko, Андрій Богданович Гупка, Roman Rohatynskyi, Volodymyr Martyniuk, Dmytro Mironov, Оleg Lyashuk, Nadia Denysiuk, Artur Lutsyk
article en

Abstract

The development and simulation of a mathematical model for a hybrid powertrain vehicle, aiming to optimize its energy efficiency and dynamic performance is presented in this study. Implemented in MATLAB/Simulink, the model captures the dynamic interactions between the hybrid system's components, including the internal combustion engine, electric motor, and battery. By conducting a full factorial experiment, the specific power of the hybrid vehicle was analyzed, revealing the critical influence of factors such as driving speed, road gradient, and battery state of charge. The proposed model demonstrated a discrepancy of 4-11% between the simulated and experimental results, confirming its adequacy for forecasting energy consumption and operational range. These findings offer valuable insights for enhancing the hybrid vehicle performance and sustainability through precise energy management strategies.

Communications - Scientific letters of the University of ZilinaVol. 27(2)
Affordable and clean energy
Openalex Percentile: Top 96%
Electric and Hybrid Vehicle Technologies
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Mathematical Modelling of Hybrid Powertrain Systems for Improved Energy Efficiency — Ivan Hevko, Андрій Богданович Гупка, et al. · Communications - Scientific letters of the University of Zilina (2025) | TGRS Research Map | TGRS