Framework for Noise-Robust Analysis of EV Batteries and Disrupted Supply Chains

The Laplace–Weierstrass transform unifies exact algebraic treatment of linear dynamics with robust Gaussian smoothing for noisy and delay-ridden systems. Extending the foundational theory of Gulhane, this paper demonstrates its value in electric vehicle battery modeling and resilient supply chain analysis under uncertainty. Building on the author’s prior work in automotive batteries, supply-chain resilience, quantum annealing for logistics, and the quantum revolution in supply chain management, the LW transform serves as an effective classical interface for hybrid classical quantum optimization. Its built-in regularization supports real time applications in battery management and edge supply chain control. As decarbonization and supply chain resilience gain strategic importance, the LW framework enhanced by numerical methods, machine learning, and quantum interfaces offers a powerful approach for sustainable electrification and responsive logistics. Researchers are encouraged to explore and extend this methodology in both academic and industrial settings.

[1]      Bruce, K.B., Cardelli, L., Pierce, B.C.: Comparing Object Encodings. In: Abadi, M., Ito, T. (eds.): Theoretical Aspects of Computer Software. Lecture Notes in Computer Science, Vol. 1281. Springer-Verlag, Berlin Heidelberg New York (1997) 415–438 [2]      Akarshan Gulhane, " "Navigating the Quantum Revolution in Logistics: Opportunities and Practical Applications in Supply Chain Management," International Journal of Engineering and Techniques (IJET) (2026) Volume 12, Report number 3, Pages 553-556, [3]      M. Doyle, T.F. Fuller, and J. Newman, “Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell,” Journal of the Electrochemical Society, vol. 140, no. 6, pp. 1526–1533, 1993. [4]      Akarshan Gulhane, “Advancements in automotive batteries: A review,” International Engineering Journal for Research & Development, vol. 8, no. 6, pp. 18–57, (2023). [Online]. Available: https://iejrd.com/index.php/article/view/3141 [5]       Akarshan Gulhane, “The future of vehicles: Solar-powered battery electric hybrid vehicle architecture,” Tech Briefs Create the Future Design Contest, (2020). [Online]. Available: https://contest.techbriefs.com/2020/entries/automotive-transportation/10457 [6]      Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. Springer-Verlag, Berlin Heidelberg New York (1996) [7]       Akarshan Gulhane, “Power line carrier communication based anti-theft system,” International Journal of Research in IT and Management (IJRIM), vol. 4, no. 12, pp. 1–11, (2014) [Online]. Available: https://indianjournals.com/article/ijrim-4-12-001 [8]       Akarshan Gulhane, A. Karale, and S. Desai, “Swipe Controller,” International Journal of Research in Engineering and Applied Sciences (IJREAS),vol. 4, no. 12, pp. 1–7, (2014). [Online]. Available: https://indianjournals.com/article/ijreas-4-12-001 [9]       Akarshan Gulhane, “Battery sizing for plug-in hybrid electric vehicles — Formula Hybrid,” in Proc. IEEE Int. Conf. on Power, Control, Signals and Instrumentation Engineering (ICPCSI), (2017), pp. 368–372. doi: 10.1109/ICPCSI.2017.8392317 [10]     J.D. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: Irwin/McGraw-Hill, 2000.