Embedded Files
Used Cameo Systems Modeler to model the architecture and performance of an autonomous electric vehicle, focusing on safety and energy efficiency.
Used Cameo Systems Modeler to model the architecture and performance of an autonomous electric vehicle, focusing on safety and energy efficiency.
Objective:
Objective:
Design and analyze an autonomous electric vehicle architecture with emphasis on reliability, safety, and operational efficiency.
Approach:
Approach:
Modeled subsystems (battery pack, drivetrain, sensor suite) in Cameo, performed FMEA to calculate Risk Priority Numbers (RPN), and ran Monte Carlo simulations to evaluate safety and range trade-offs.
Outcome:
Outcome:
Delivered a validated vehicle architecture that highlighted subsystem vulnerabilities, quantified safety risks, and optimized range performance under uncertainty.
Tools & Methods:
Tools & Methods:
SysML • FMEA (Failure Modes & Effects Analysis) • Monte Carlo Simulation • Trade Space Analysis • Battery Range Modeling • Data Export
Key Takeaways:
Key Takeaways:
Applied MBSE to autonomous vehicle design
Conducted quantitative safety and reliability (FMEA + Monte Carlo)
Built trade space models to evaluate subsystem impacts on vehicle range
Page updated
Google Sites
Report abuse