Designing Smarter Electrical Equipment Embedded with AI.pptx

The transportation industry’s growing emissions have sparked a race to decarbonize freight movement through innovative engineering solutions. As companies look for ways to apply cutting-edge technologies like autonomous vehicles and optimized systems, Parallel Systems, a company creating autonomous battery-electric rail vehicles, believes that adapting these advances for rail will revolutionize logistics and decarbonize transportation at the same time.

1. A Platoon of Green Autonomous Vehicles on Railroad Tracks Battery-Powered Rail Cars Move Freight Cleaner, Faster, and Safer

2. 1: Introduction The transportation industry’s emissions challenge Need for decarbonizing freight movement Introduction to Parallel Systems Autonomous battery-electric rail vehicles Revolutionizing logistics and transportation

3. 2: Parallel Systems' Vision Clean, fast, safe, and cost-effective freight movement Jon Goh, lead vehicle software engineer Founded by former SpaceX engineers Combining autonomous tech with new terminal concepts Opening new markets with smaller terminals

4. 3: Modular Platooning System Shift from long freight trains to modular approach Platooning system for aerodynamic efficiency Rail vehicles operate in close proximity Buffers create platoon with minimal drag Increased energy efficiency

5. 4: Autonomous Rail Vehicles Autonomous rail cars split off for distribution Addressing last-mile logistics challenges Potential to convert trucking to rail Zero-emissions vehicles Benefits for the environment

6. 5: Development Network of Intermodal Terminals Establishing small, localized terminals Reduced need for long-distance trucking Enabling short-haul rail services Closer terminals to warehouses and stores Economically viable transit for last-mile delivery

7. 6: Safety and Testing with Simulink Importance of safe autonomous operations Rigorous testing and validation Use of Simulink for control system strategies Simscape Driveline for gear behavior simulation High-fidelity simulations for control algorithm validation

8. 7: Battery Modeling with MATLAB Modeling battery behavior with MATLAB Analyzing vehicle range and environmental impact Full-vehicle simulations for performance evaluation Testing bumper damper components Integrating damper models into Simulink

9. 8: Accelerating Design Iterations Using MATLAB for early vehicle modeling Simulation before physical prototyping Addressing issues like axle backlash Iterative design and optimization Control algorithm improvements

10. 9: Operational Viability Simulations Evaluating business scenarios with Simulink Financial implications and profitability projections Modeling vehicle mass, costs, and routes Validating economic feasibility of freight rail plans Impact on freight transportation

11. 10: Future Projects and Model-Based Design Developing custom electric motor designs Expanding Model-Based Design approach Safety-critical systems development Comprehensive virtual testing with Simulink Building a product for regular service and regulatory compliance