Electric Vehicle Battery Modelling and Simulation Using MATLAB-Simulink
Open accessAbstract
Electric vehicles ( EVs) are an alternate means of transport for future as they have great potential to minimize the use of petrol based and other transport fuels that emit high CO2. The components of the BEV framework were discussed here, and a battery electric vehicle (BEV) model was simulated on MATLAB-Simulink. Also, the related components of the electrical system and its corresponding verification equations have been established. In addition, all simulation outcomes were considered. This research provides a basis for further research.
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With feeder distances increasing away from substations, voltage stability is compromised, especially when connected to high charging loads.
“With feeder distances increasing away from substations, voltage stability is compromised, especially when connected to high charging loads [77].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [77]
The Introduction and Results describe a MATLAB-Simulink battery-electric-vehicle model and report battery voltage, current, power, and charge state; no page numbers are available in our copy. Searches for feeder distance, substations, distribution-grid voltage, and charging loads found no passage addressing the claimed effect on voltage stability. (LLM, conf=0.76)
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- Z. Chen, R. Xiong, and J. Cao, "Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions," Energy, vol. 96, pp.197-208, 2016.
- Mohd, T. A. T., Hassan, M. K., Aris, I., Soh, A. C., Ibrahim, B. S.K. K., & Hat, M. K. (2015). Simulation based study of electric vehicle parameters, 10(19), 8541-8546.
- Mohd, T. A. T., Hassan, M. K., & A. Aziz, W. (2015).Mathematical Modeling and Simulation of an Electric Vehicle. Journal of Mechanical Engineering and Sciences, 8(June), 1312-1321. https://doi.org/10.15282jmes.8.2015.6.0128.
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- Reddy, G.N. 2012. A MATLAB-based tool for EV design. In: 2012 International Conference on Education and e-Learning Innovations (ICEELI).
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- Zhou Bing, Jiang Qinghua, Yang Yi, & Wang Jisheng. (2010).Analysis of energy consumption and power train parameters optimization of BEV based on running cycle. In 2010 IEEE 11thInternational Conference on Computer-Aided Industrial Design &Conceptual Design 1 (pp. 1284-1290).IEEE. https://doi.org/10.1109/CAIDCD.2010.5681973. · DOI
- Tamilselvi, S., Karuppiah, N., &Muthubalaji, S. (2018). Design of an efficient battery model using evolutionary algorithms. Periodicals of Engineering and Natural Sciences, 6(2), 265-282.
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Ikhajangbe, O. E., Dhulipati, H., & Liu, S. (2026) · IEEE Access · doi:10.1109/access.2026.3684508 · Cited by 5 · see citing works
- Authors
- Et.al, D. A. S.
- Venue
- Turkish Journal of Computer and Mathematics Education (TURCOMAT)
- Publisher
- Ninety Nine Publication
- Published
- 2021-04-10
- Volume
- 12
- Issue
- 3
- Pages
- 4604-4609
- ISSN
- 1309-4653 (ISSN-L)
- OpenAlex
- W3156386171
- Cited by
- 6
- References
- 0
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 2 · 2021: 1
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Türk bilgisayar ve matematik eğitimi dergisi (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- electric vehicles, battery electric vehicles, battery modeling, battery simulation, automotive electrical systems, battery energy storage, CO2 emission reduction
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