Scalable Cloud Based Infrastructure and Virtual ECU Driven Software Testing for the Next Generation Automotive Industry
DOI:
https://doi.org/10.63282/3050-922X.AECTIC-112Keywords:
Cloud Computing, Virtual ECU, Software-Defined Vehicles, Automotive Simulation, Co-Simulation, 5G, Digital Twin, AI-Based ValidationAbstract
The automotive sector is currently at a crossroads of digital transformation being led by the convergence of scalable cloud computing, virtual electronic control units (vECUs), and cloud-native software testing. This paper briefly describes the emerging landscape underpinning this transformation, with emphasis on the ascendency of cloud-supported development workflows, functional virtualization, and large-scale automated validation. Virtual ECUs are enabling early, hardware agnostic testing and the rise of cloud-based co-simulation platforms are enabling true real-time validation across multiple domains at unprecedented scale. The key technology enablers, including 5G enabled edge platforms, AI-enabled automated testing, and software-defined vehicle (SDV) architectures, are expected to fundamentally change vehicle development and deployment of mobility services by 2030. Based on the authors’ experiences with industrial scale co-simulation systems, the paper synthesizes current practice and discusses challenges related to simulation fidelity, security, and interoperability. Finally, the paper provides a brief discussion of how cloud-based automotive engineering will impact sustainability, safety, and total cost of ownership (TCO) through contribution to architecture and emerging technology and continues through 2030
References
[1] M. Abboush, C. Knieke, and A. Rausch, “A Virtual Testing Framework for Real-Time Validation of Automotive Software Systems Based on Hardware in the Loop and Fault Injection,” Sensors, vol. 24, no. 12, p. 3733, Jun. 2024. https://doi.org/10.3390/s24123733
[2] I. Silva, H. D. Silva, F. Botelho, and C. Pendão, “Realistic 3D Simulators for Automotive: A Review of Main Applications and Features,” Sensors, vol. 24, no. 18, p. 5880, Sep. 2024.https://doi.org/10.3390/s24185880
[3] D. Araki and H. Takamizawa, “Co-simulation of multi-ECU hardware/software system using timing back-annotation method,” in Proc. 2009 2nd Southern Conference on Design of Circuits and Systems (SOCDC), Jan. 2009.https://doi.org/10.1109/SOCDC.2009.5423837
[4] A. Rizvi, D. Hepp, P. Jana, F. Büchner, F. Geßler, and J. Feike, “Winning the automotive software development race, McKinsey & Company, Jul. 15, 2025.https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/winning-the-automotive-software-development-race
[5] H. Kim, J. Kwak, and J. Cho, “AUTOSAR-Compatible Level-4 Virtual ECU for the Verification of the Target Binary for Cloud-Native Development,” Electronics, vol. 13, no. 18, p. 3704, Sep. 2024. https://doi.org/10.3390/electronics13183704
[6] P. Teixeira, D. Raposo, R. E. Lopes, and S. Sargento, “Software Defined Vehicles for Development of Deterministic Services,” arXiv preprint arXiv:2407.17287, Jul. 2024. https://doi.org/10.48550/arXiv.2407.17287
[7] P. V. Teixeira, D. Raposo, R. E. Lopes, and S. Sargento, “Deterministic and Reliable Software-Defined Vehicles: key building blocks, challenges, and vision,” arXiv preprint arXiv:2407.17287, Jul. 2024 https://arxiv.org/abs/2407.17287
[8] R. H. AlShekh, S. A. Dawwd, and F. N. Qassabbashi, “Comparative Review of Multicore Architectures: Intel, AMD, and ARM in the Modern Computing Era,” Chips, vol. 4, no. 4, p. 44, Oct. 2025. https://doi.org/10.3390/chips4040044
[9] Y. Yang, M. Wang, Y. Ge and R. Yu, "Research on Data Security for Vehicle-Infrastructure-Cloud Integration," 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, United Kingdom, 2023, pp. 2164-2169 https:/doi.org/10.1109/TrustCom60117.2023.00302
[10] T. Singh and K. Pandey, “The Future of Automotive Industry: AI and Cloud-Driven Digital Transformation in the US Region – A Holistic Examination,” ResearchGate, Nov. 2024. https://doi.org/10.13140/RG.2.2.31644.19846
[11] A. Ghosh, S. S. Sapatnekar, and M. S. Diwan, “Design of Next Generation Automotive Systems: Challenges and Research Opportunities,” J. Comput. Inf. Sci. Eng., vol. 23, no. 6, pp. 1–9, Jul. 2023. https://doi.org/10.1115/1.4063067
[12] N. Amringer and P. Asemann, “Simulation of Virtual ECUs in the context of ECU Consolidation,” in Proc. 9th AutoTest Technical Conf.: Test of Hardware and Software in Automotive Development, Stuttgart, Germany, Oct. 2022.https://researchgate.net/publication/364694688
[13] Y H. Li, D. Nalic, V. Makkapati, T. Tettamanti et al., “A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed” 2021 IEEE Intelligent Veh. Symposium (IV), Jul. 2021 http://doi.org/10.1109/IV48863.2021.9575426
