Project

Autonomous E-Mobility Center

The  Autonomous E-Mobility Centre is a premier facility dedicated to advancing research, development, and education in autonomous electric vehicle (EV) technology. Designed to foster innovation in electric mobility and intelligent transportation systems, the centre provides state-of-the-art tools and resources for developing, testing, and optimizing autonomous and electric vehicle components. Through a combination of advanced hardware, simulation tools, and real-time testing platforms, this facility equips students, researchers, and industry professionals with the skills and practical experience necessary to excel in e-mobility and autonomous vehicle technologies.

Centre Objectives

The Autonomous E-Mobility Centre is committed to supporting a range of research and training objectives, including:

– Advancing knowledge in electric powertrain design and control.

– Developing and implementing autonomous navigation and perception algorithms.

– Enhancing skills in energy management and battery optimization.

– Providing hands-on experience in Advanced Driver Assistance Systems (ADAS) and autonomous driving technologies.

– Promoting sustainable mobility solutions and intelligent transportation systems.

Key Equipment and Capabilities

The center is equipped with high-performance computational systems, real-time data acquisition tools, battery simulation technology, and autonomous vehicle platforms. This comprehensive suite of equipment enables the practical study of critical areas such as power distribution, energy storage, and autonomous navigation, bridging the gap between theoretical knowledge and real-world applications.

List of important equipment:

• HP Z1 TWR Base Unit G9-  High-performance workstation with Windows 11 Pro, Intel Core i9 processor, 32GB DDR5 memory, NVIDIA T400 graphics, and 256GB SSD, ideal for intensive computational tasks and simulation workloads.
• Expandable PXI Bundle (PXIe-4139 SMU) –  Source Measure Unit (SMU) with 60V, 3ADC, 10A pulsed capacity, and 100fA resolution for high-precision power measurements and testing of e-mobility components.
• cRIO-9056 Controller –  Compact RIO controller with a 1.33GHz dual-core processor and Artix-7 FPGA, supporting real-time data acquisition and control for embedded e-mobility experiments.
• NI 9401 Digital I/O Module –  8-Channel, 100ns TTL Digital Input/Output module for fast and reliable data acquisition.
• NI SLSC-12001 Chassis-  12-slot chassis (24V DC) for modular integration of measurement and control systems in complex e-mobility testing setups.
• AL-4010 Battery Cell Simulator.  Battery cell simulator designed for evaluating EV battery performance and behavior, critical for Battery Management System research.
• Various Connectivity Cables and RTI Connectors – Includes high-speed CAN termination cables, BCS battery simulation cables, and NTC cables for robust, secure connections across testing setups.

Research and Training Focus

With its cutting-edge equipment and versatile platform, the Autonomous E-Mobility Centre supports a wide range of research and training activities, including:

– Electric Powertrain and Battery Systems: Exploration of battery testing, power distribution, regenerative braking, and BMS design.

– Autonomous Navigation and ADAS: Development and testing of ADAS features like adaptive cruise control, lane-keeping assist, and autonomous braking.

– Machine Learning and AI for Autonomous Systems: Workstations equipped with GPUs support deep learning and AI model training for autonomous perception and decision-making.

– Energy Management and Optimization: Strategies for efficient energy usage, regenerative braking, and battery performance optimization.

– Simulation and Control: Using platforms like MATLAB/Simulink and ROS, students can model and analyze autonomous driving scenarios, supporting vehicle control, planning, and path-finding in virtual environments.

The Autonomous E-Mobility Centre provides a dynamic environment for hands-on training and collaborative research in sustainable and autonomous vehicle technology. With its cutting-edge equipment, the lab enables students, researchers, and industry partners to develop solutions that drive the future of e-mobility and autonomous systems. This unique facility prepares participants for leadership roles in the fields of sustainable mobility, electric vehicle technology, and autonomous systems, making it a valuable asset in shaping the next generation of transportation.

Funding Agency: Amrita Vishwa Vidyapeetham

Period: 2023 to ongoing

Total Funding: Rs. 41,80,000/-(ASG2022075)

Project Investigtor: Dr. K.Deepa

Co-Project Investigtor’s: Dr. P. V. Manitha and Dr. N. Neelima has received “Amrita Seed Grant Proposal-2022” for 41.8Lakhs.

Proposal ID: ASG2022075

No Caption

No Caption

No Caption