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High-Performance Computing for Electric Vehicle Performance Analysis and Simulation
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Author(s): D. Venkata Srihari Babu (Department of Electronics and Communication Engineering, G. Pulla Reddy Engineering College, India), Ramaprasad Maharana (Department of Electronics and Communication Engineering, Sri Sai Ram Institute of Technology, Chennai, India), M. Ponrekha (Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Coimbatore, India), S. Ramesh (Department of Electrical and Electronics Engineering, K.S.R. College of Engineering, Tiruchengode, India)and D. Kirubakaran (Department of Electrical and Electronics Engineering, St. Joseph's Institute of Technology, Chennai, India)
Copyright: 2025
Pages: 26
Source title:
Integrating Machine Learning Into HPC-Based Simulations and Analytics
Source Author(s)/Editor(s): Belgacem Ben Youssef (King Saud University, Saudi Arabia)and Mohamed Maher Ben Ismail (King Saud University, Saudi Arabia)
DOI: 10.4018/978-1-6684-3795-7.ch016
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Abstract
High Performance Computing (HPC) has established an important place in the performance analysis and simulation of electric vehicles. An enhanced study built on HPC answers to the high computational requirements of performance evaluation of electric vehicles, namely battery management, energy efficiency, and thermal dynamics. HPC, with parallel processing and improved algorithms, can intensively simulate powertrain systems, aerodynamics, and vehicle dynamics, keeping a stream of avenues to improve the design and functionality of electric vehicles. Further, it optimizes battery life and energy consumption as well as charging systems. This is useful for manufacturers and researchers to work toward enhancing the efficiency of EVs. The current chapter also deals with real-time simulations of HPC that allow prototyping, reduce development costs, and enable sustaining innovations in the electric vehicle business.
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