Review Article
Open Access
Next-Generation Computing Technology for Electric Vehicle Manufacturing – Concept, Challenges and Future Research
1
Department of Mechanical Engineering, GIET University, Odisha, Gunupur 765022, India
2
Department of Computer Science and Engineering, NIST University, Berhampur 761008, India
* Corresponding Author:
Kali Charan Rath,
[email protected]
Volume 1, Issue 1
2025
Received: 02 September 2025
Accepted: 04 September 2025
Published: 09 October 2025
Article Information
Published in
Next-Generation Computing Systems and Technologies
Volume/Issue
Volume 1, Issue 1, 2025
Pages
1-10
Abstract
The electric vehicle (EV) manufacturing industry rapidly progresses from Industry 4.0 to Industry 5.0, next-generation computing technologies are emerging as disruptive enablers. This paper explores about the advanced computing paradigms to improve efficiency, robustness and adaptation across EV manufacturing ecosystems in the revolved vehicle industry in order to satisfy the increasing needs of intelligent automation, real-time decision-making and sustainable production. Through the integration of industrial case studies, literature reviews and rigorous technology mapping, the paper work validates the potential of these technologies to optimize resource utilization, speed up computer operations and overcome complications to extensive adoption. The results highlight the significance of strong frameworks to make balance between innovation and sustainability. Conclusion section is highlighting the convergence of cutting edge technology to propel the progress of autonomous, secure and human-centered electric vehicle production, thereby prompting the way of sustainability and industrial transformation.
Graphical Abstract
Keywords
smart manufacturing
intelligent automation
human-centric automation
next-generation computing technologies
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
References
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APA Style
Rath, K. C., & Mishra, B. K. (2025). Next-Generation Computing Technology for Electric Vehicle Manufacturing – Concept, Challenges and Future Research. Next-Generation Computing Systems and Technologies, 1(1), 1–10. https://doi.org/10.62762/NGCST.2025.183832
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TY - JOUR AU - Rath, Kali Charan AU - Mishra, Brojo Kishore PY - 2025 DA - 2025/10/09 TI - Next-Generation Computing Technology for Electric Vehicle Manufacturing – Concept, Challenges and Future Research JO - Next-Generation Computing Systems and Technologies T2 - Next-Generation Computing Systems and Technologies JF - Next-Generation Computing Systems and Technologies VL - 1 IS - 1 SP - 1 EP - 10 DO - 10.62762/NGCST.2025.183832 UR - https://www.icck.org/article/abs/NGCST.2025.183832 KW - smart manufacturing KW - intelligent automation KW - human-centric automation KW - next-generation computing technologies AB - The electric vehicle (EV) manufacturing industry rapidly progresses from Industry 4.0 to Industry 5.0, next-generation computing technologies are emerging as disruptive enablers. This paper explores about the advanced computing paradigms to improve efficiency, robustness and adaptation across EV manufacturing ecosystems in the revolved vehicle industry in order to satisfy the increasing needs of intelligent automation, real-time decision-making and sustainable production. Through the integration of industrial case studies, literature reviews and rigorous technology mapping, the paper work validates the potential of these technologies to optimize resource utilization, speed up computer operations and overcome complications to extensive adoption. The results highlight the significance of strong frameworks to make balance between innovation and sustainability. Conclusion section is highlighting the convergence of cutting edge technology to propel the progress of autonomous, secure and human-centered electric vehicle production, thereby prompting the way of sustainability and industrial transformation. SN - 3070-3328 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Rath2025NextGenera,
author = {Kali Charan Rath and Brojo Kishore Mishra},
title = {Next-Generation Computing Technology for Electric Vehicle Manufacturing – Concept, Challenges and Future Research},
journal = {Next-Generation Computing Systems and Technologies},
year = {2025},
volume = {1},
number = {1},
pages = {1-10},
doi = {10.62762/NGCST.2025.183832},
url = {https://www.icck.org/article/abs/NGCST.2025.183832},
abstract = {The electric vehicle (EV) manufacturing industry rapidly progresses from Industry 4.0 to Industry 5.0, next-generation computing technologies are emerging as disruptive enablers. This paper explores about the advanced computing paradigms to improve efficiency, robustness and adaptation across EV manufacturing ecosystems in the revolved vehicle industry in order to satisfy the increasing needs of intelligent automation, real-time decision-making and sustainable production. Through the integration of industrial case studies, literature reviews and rigorous technology mapping, the paper work validates the potential of these technologies to optimize resource utilization, speed up computer operations and overcome complications to extensive adoption. The results highlight the significance of strong frameworks to make balance between innovation and sustainability. Conclusion section is highlighting the convergence of cutting edge technology to propel the progress of autonomous, secure and human-centered electric vehicle production, thereby prompting the way of sustainability and industrial transformation.},
keywords = {smart manufacturing, intelligent automation, human-centric automation, next-generation computing technologies},
issn = {3070-3328},
publisher = {Institute of Central Computation and Knowledge}
}
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