Skip to content
Open access

Mathematical Modelling And Simulation-Based Evaluation Of Electric Powertrain Performance

Sep 2026 · International Journal of Innovations in Science Engineering And Management · pp. 531-546 · 0 citations · 24 references

Abstract

This study presents a mathematical modeling and simulation-based framework for evaluating the electric powertrain performance of mini passenger electric vehicles under standardized driving conditions. The framework integrates vehicle longitudinal dynamics, electric motor characteristics, transmission behavior, and battery performance using MATLAB/Simulink. The New European Driving Cycle (NEDC) and Modified Indian Driving Cycle (MIDC) are used for detailed simulation and graphical analysis, while FTP-75 results are included in the comparative performance tables. The model considers kerb weight, gross vehicle weight, rolling resistance coefficient, aerodynamic drag coefficient, wheel radius, gear ratio, drivetrain efficiencies, and battery capacity. The simulations compare tractive-force demand, motor speed and torque, battery power and current, state of charge, and energy consumption. The results show that the selected driving profile significantly influences aerodynamic loading, battery demand, and energy performance. NEDC produces comparatively higher high-speed loading, whereas MIDC represents repeated acceleration and deceleration conditions relevant to Indian driving environments. The developed framework provides a repeatable basis for evaluating powertrain behavior and comparing vehicle configurations under different standardized cycles.

Read PDF

Similar papers

Open access Sep 2026

A comparative MATLAB/Simulink framework for drive-cycle-based traction motor sizing in battery electric four-wheelers

As more battery electric vehicles (BEVs) are being introduced, the need for accurate traction motor sizing to achieve optimal performance, energy efficiency, driving range and cost has become more important. The conventional analytical sizing methods are based on worst-case conditions and often result in over- or under...

Shweta S. Suryavanshi, S. Wankhede, P. M. Ghanegaonkar et al. · 0 citations
Open access 2026

Impact of Hybrid Powertrain Architectures on Commercial Vehicle Performance

To investigate the impact of hybrid powertrain architectures on the dynamic performance and fuel economy of light commercial vehicles, the study takes a Chinese domestic light commercial vehicle as the research object. A forward simulation model is established in Matlab/Simulink to compare the performance of two hybrid...

Xiao-Cao Yu, Li-Jiang Wei · 0 citations
Open access Aug 2026

Analysis of Energy Consumption of an Electric Vehicle Prototype with MATLAB/Simulink for Battery Sizing

An integrated model is presented to estimate the energy consumption of a Formula SAE–type electric vehicle by combining MATLAB/Simulink simulations with real operational data from the Cotopaxi kart circuit. The implemented subsystem incorporates vehicle dynamics, speed, and grade profiles, and it enables the calculatio...

Romel Carrera, Leonidas Quiroz, Xavier Arias et al. · 0 citations
Sep 2026

Hybrid-electric powertrains in aviation: modeling and simulating component dynamics

Abstract This study aims to visualize the power distribution and performance efficiency of the components in the power transmission system of a general aviation aircraft equipped with a next-generation hybrid electric propulsion system during hybrid operation. Using the developed digital model, the aircraft’s power req...

M. Yıldız, C. Gokce · 0 citations
Conference Sep 2026

Analysis of Battery State of Charge on the Condition of Acceleration and Regenerative Braking for Electrical Vehicle Using MATLAB

The battery performance of electric vehicle (EV) is affected by the different driving condition, particularly during speed, acceleration and regenerative braking that also, it influences the energy consumption from the battery and its state of charge (SoC). The EV during its condition of acceleration and regenerative b...

Z. Thomas, M. Irwanto, W. Huang et al. · 0 citations
Open access Sep 2026

MATLAB-Based analysis of energy recovery performance of regenerative braking systems under different driving conditions in electric vehicles

The limited battery capacity of electric vehicles has made the development of effective energy management strategies essential for improving energy efficiency and extending driving range. Regenerative braking systems contribute to this objective by converting the vehicle's kinetic energy during braking into electrical...

Hanifi Kucuksariyildiz · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.