Optimizing MATLAB Applications to Advance Automotive System Development
Abstract
The automotive industry continues to evolve with the integration of sophisticated computational tools to optimize design, analysis, and control systems. MATLAB, known for its powerful numerical and simulation capabilities, has emerged as a key tool in achieving efficiency, accuracy, and automation across automotive engineering processes. This study explores the strategic utilization of MATLAB in areas such as engine modeling, vehicle dynamics simulation, embedded system development, and control system design. The research employs a qualitative method supported by case studies from various industrial applications, highlighting how MATLAB toolboxes like Simulink, Stateflow, and Simscape contribute to reducing development time and improving system performance. Results show that optimized MATLAB use not only accelerates prototyping and testing phases but also enhances precision in control strategies, especially for electric and autonomous vehicles. This paper concludes by emphasizing the growing importance of MATLAB proficiency among automotive engineers and its role in driving digital transformation in the industry.
Keywords
Full Text:
PDFReferences
Beck, A. (2023). Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Python and MATLAB. SIAM.
Faris, R. H. A., Ibrahim, A. A., Abdulwahid, M. M., & Mosleh, M. F. (2021). Optimization and enhancement of charging control system of electric vehicle using MATLAB SIMULINK. IOP Conference Series: Materials Science and Engineering, 1105(1), 12004.
Gheisari, M., Panwar, D., Tomar, P., Harsh, H., Zhang, X., Solanki, A.,
Nayyar, A., & Alzubi, J. A. (2019). An optimization model for software quality prediction with case study analysis using MATLAB. IEEE Access, 7, 85123–85138.
Ibrahim, M., Järg, O., Seppago, R., & Rassõlkin, A. (2025). Performance Optimization of a High-Speed Permanent Magnet Synchronous Motor Drive System for Formula Electric Vehicle Application. Sensors, 25(10), 3156.
Josy, T. A., Sadique, A., Thomas, M., Manaf, A., & Vr, S. (2025). Software Architecture for Autonomous Vehicles using MATLAB Simulink. SAE Technical Paper.
Lopes, W. A. C., Rusteiko, A. C., Mendes, C. R., Honório, N. V. C., & Okano, M. T. (2025). Optimization of New Project Validation Protocols in the Automotive Industry: A Simulated Environment for Efficiency and Effectiveness. Journal of Computational and Cognitive Engineering.
Niazai, S., Rahimzai, A. A., & Atifnigar, H. (2023). Applications of MATLAB in natural sciences: a comprehensive review. Eur J Theoret Appl Sci, 1, 1006–1015.
Ponce-Ortega, J. M., Ochoa-Barragán, R., & Ramírez-Márquez, C. (2024). Optimization Using the Software MATLAB. In Optimization of Chemical Processes: A Sustainable Perspective (pp. 439–463). Springer.
Qin, H., Liu, Z., Liu, Y., & Zhong, H. (2017). An object-oriented MATLAB toolbox for automotive body conceptual design using distributed parallel optimization. Advances in Engineering Software, 106, 19–32.
Tamtam, F., & Tourabi, A. (2025). Development of optimization models for automotive production processes: Taguchi and neuro-fuzzy methods at Renault. EUREKA: Physics and Engineering, 3, 143–151.
Tapaskar, R. P., Revankar, P. P., & Ganachari, S. V. (2024). advancements in battery management systems for electric vehicles: A MATLAB-based simulation of 4S3P lithium-ion battery packs. World Electric Vehicle Journal, 15(6), 222.
Wu, W., Sivaparthipan, C. B., & Sanz-Prieto, I. (2022). Application of automobile modelling optimization design based on virtual reality technology. Journal of Interconnection Networks, 22(Supp02), 2143007.
Xie, Y., Zhang, H., Gartner, N. H., & Arsava, T. (2017). Collaborative merging strategy for freeway ramp operations in a connected and autonomous vehicles environment. Journal of Intelligent Transportation Systems, 21(2), 136–147.
DOI: https://doi.org/10.33024/jrets.v9i2.21385
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Jurnal Rekayasa, Teknologi, dan Sains

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Secretariat Office:
UNIVERSITAS MALAHAYATI
Mail : Jl. Pramuka No. 27, Kemiling, Kota Bandar Lampung
Telp : 0811729009
email: jurnalrts.ft@malahayati.ac.id

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License