Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

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Dynamic Modelling for Hybrid Electric Vehicles with Its Performance Optimization Using Different Control, Energy Management Strategies

Authors
T. Rajasundar1, S. Senthil Kumar1, S. P. Vijayaragavan1, Anitha Sampath Kumar1, *, N. P. Gopinath2
1Department of Electrical and Electronics Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
2Department of Electrical and Electronics Engineering, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: anithas.eee@bharathuniv.ac.in
Corresponding Author
Anitha Sampath Kumar
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_28How to use a DOI?
Keywords
Hybrid electric vehicles; fuel cell stack; power management; energy management strategy; battery bank
Abstract

Fuel cell vehicles have emerged as a promising alternative to traditional internal combustion engine vehicles, mainly as advancements in technology make them more practical for commercial use. This study focus focuses on developing and analysing energy management strategies for fuel cell-based hybrid electric vehicles using a dynamic model. This model integrates key components such as fuel cell stack, battery system, induction motor, and vehicle drivetrain to evaluate and compare performance with that of conventional ICE vehicles. A PI controller is used to simulate the behaviour of driver, induction motor operates under a slip mode algorithm. The overall power distribution between the fuel cell and battery is managed within defined limits. Simulation results reveal that the fuel cell hybrid system achieves energy consumption levels similar to conventional light vehicles but with significantly reduced fuel usage. Moreover, the hybrid configuration offers superior performance and efficiency compared to standard combustion-based systems. The developed model also proves effective for testing and optimizing different control strategies aimed at enhancing the performance of hybrid electric vehicles.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_28How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - T. Rajasundar
AU  - S. Senthil Kumar
AU  - S. P. Vijayaragavan
AU  - Anitha Sampath Kumar
AU  - N. P. Gopinath
PY  - 2026
DA  - 2026/04/24
TI  - Dynamic Modelling for Hybrid Electric Vehicles with Its Performance Optimization Using Different Control, Energy Management Strategies
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 331
EP  - 346
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_28
DO  - 10.2991/978-94-6239-654-8_28
ID  - Rajasundar2026
ER  -