Revolutionizing Automotive Safety: A Novel Method for Reverse Propulsion and Regenerative Braking in Critical Scenarios Subramani M, Gowtham S, Ashwin K, Vignesh R, Mohan Kumar S, et al. Proceedings of 8th International Conference on Trends in Electronics and Informatics Icoei 2025, 2025 Automotive safety has become a cornerstone of modern vehicle design, with increasing emphasis on technologies that enhance accident prevention and energy efficiency. This study presents a novel Hybrid Control Mechanism that integrates reverse propulsion and regenerative braking, leveraging artificial intelligence (AI) and machine learning (ML) to dynamically respond to critical scenarios. The proposed system combines predictive algorithms, sensor fusion, and model predictive control to optimize deceleration and energy recovery. Extensive simulations and prototype testing demonstrated a deceleration accuracy of 96.5%, energy recovery efficiency of 76.5%, and a real-time response time of 60 milliseconds, outperforming existing automotive safety solutions. The system evaluated under diverse conditions, including dry, wet, and icy roads, achieved better stability. Comparative analysis confirmed superior performance in terms of stopping distance, response time, and energy efficiency. This research establishes a robust foundation for the adoption of intelligent safety technologies in automotive systems, ensuring safer and more sustainable transportation. Future work will focus on scalability and deployment in real-world scenarios.
FPGA Implementation of XOR-MUX based Full Adder and Truncated Multiplier for Signal Processing Applications P Pavithara, N R Raghapriya, P M Dinesh, S Gowtham, D Viji, et al. 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024 There has been considerable advancement in the digital world, particularly in image processing applications, in recent years. The most important requirements are area efficiency, minimal delay, low power consumption, and fast speed. Due to the arithmetic operations of adders and multipliers, digital devices are prone to have increase in the size of logic because they take up more space in VLSI implementation. The proposed method of XOR-MUX based full adder and truncated multiplier concentrates on reducing the delay and area. Replacing normal multipliers with truncated multipliers computes $\\mathbf{n}$ bit output instead of $2 \\mathbf{n}$ bit outputs that is, the MSB bit of the truncated multiplier are retained whereas the LSB bits are truncated thereby preserving the information. This is suitable for certain applications of FIR filters that do not concentrate on lower bit length. In this project, the conventional full adders are replaced by XOR-MUX based full adders and are utilized in truncated multipliers which results in area reduction by 12.66% and delay reduction by 11.68% with a modest increase in power consumption. This reduction in truncated multipliers contributes towards the design of high performance FIR filters in signal processing applications.
Analysis on Various Core Materials and Magnets for Electric Vehicle Applications S. Senthilkumar, Vijayakumar Madhaiyan, V. Arun, E. Kannan, S. Gowtham, et al. 2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023 The performance of an Internal Permanent Magnet Misc Machine (IPMMM) is improved by its cylindrical rotor, which dampens torque ripple. Changing the stator and rotor core materials to compare the torque values and get the efficient motor and keeping that in consent then change the magnet material for better ripple torque. The rotor of the changes the materials to vary the torque by the rotor angle. The finite element method is applied to a Misc Motor operating at 290 V, 20 A, and 3000 RPM with the goals of increasing torque and decreasing torque ripple. In this machine the changing of all materials is to improve the torque. The results are calculated and analysed numerically, with the results being virtualized graphically.
