@inproceedings{e8a629977c0e4081b92b21c76b8c2857,
title = "Simulation and Modeling of Internal Combustion Engine for Control Algorithms in Chevrolet Tavera Electric Vehicle Traction System Powertrain",
abstract = "This study focused on the transformation of the ICE Powertrain-driven Chevrolet Tavera into an EM Powertrain system drive. Models using MATLAB{\textregistered} Simulink{\textregistered} were developed to estimate the characteristics of the EM powertrain system. The Estimator was assembled by embedding several key components, including a generic engine system block, longitudinal vehicle body, transmission system, torque converter, and a set of controller unit blocks. Each component was parameterized based on the specifications of the Chevrolet Tavera and simulated in the time domain. During the process of estimating the system identification of the vehicle, the generic engine rotation was used as the input data, while the output trans mission rotation served as the target data. This approach enabled the determination of the transfer function for it became possible to design the EM Powertrain and its associated control system, effectively representing the performance of the vehicle.",
keywords = "Electric machine, Internal combustion engine, MATLAB Simulink, Powertrain, System identification, Transfer function, Vehicle",
author = "Sunardi and Heri Suryoatmojo and Daniar Fahmi and Wijaya, \{Febry Pandu\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 6th International Conference on Mechanical Engineering, ICOME 2023 ; Conference date: 30-08-2023 Through 31-08-2023",
year = "2025",
doi = "10.1007/978-981-97-8197-3\_1",
language = "English",
isbn = "9789819781966",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--11",
editor = "Suwarno Suwarno and Triyogi Yuwono and Mohan Kolhe and Muhammad Aziz",
booktitle = "Smart Innovation in Green and Sustainable Energy - Select Proceedings of ICOME 2023",
address = "Germany",
}