Free Webinar on Accurate EV Powertrain Sizing through 1D System Simulation
Design, Simulate & Optimize Electric Vehicle Powertrains Before Building a Prototype
Webinar Overview
Selecting the right battery, motor, inverter, and transmission is one of the most critical steps in electric vehicle development. This webinar introduces the industry approach to EV powertrain sizing using 1D System Simulation (Quasi-Static Modeling). Participants will learn how vehicle performance targets are translated into engineering models, beginning with longitudinal vehicle dynamics and resistance force calculations, followed by subsystem modeling and complete vehicle simulation. Through practical demonstrations, attendees will understand how to evaluate energy consumption, driving range, acceleration, and performance across standard drive cycles, enabling faster design decisions and optimized powertrain development before physical prototyping.
Topics Covered
- Fundamentals of EV Powertrain Sizing using 1D System Simulation
- Longitudinal Vehicle Dynamics & Resistance Force Calculations
- Battery, Motor & Controller Sizing Methodology
- Building EV Powertrain Subsystem Models
- Drive Cycle Simulation & Performance Evaluation
- Energy Consumption & Driving Range Prediction
- Component Selection & System Optimization
- Industry Workflow for Simulation-Driven EV Development
Learning Outcomes
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Understand the role of quasi-static (1D) system simulation in electric vehicle development.
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Translate vehicle performance targets into engineering specifications for powertrain design.
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Perform longitudinal vehicle dynamics and resistance force calculations required for EV sizing.
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Understand the methodology for selecting battery capacity, motor power, inverter ratings, and transmission ratios.
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Build a system-level understanding of battery, motor, controller, transmission, and vehicle subsystems within a simulation environment.
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Evaluate vehicle performance using standard drive cycles and interpret key simulation outputs.
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Estimate vehicle energy consumption, driving range, acceleration, and gradeability before prototype development.
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Identify opportunities to optimize component sizing for improved efficiency, cost, and vehicle performance.
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Gain practical insight into how simulation-driven design reduces development time, engineering effort, and prototype iterations in industrial EV programs.
Who Can Attend?
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Mechanical & Automotive Engineers
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Electrical Engineers
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EV Design Engineers
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Simulation Engineers
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Simulation Engineers
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Research Scholars
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Final-Year Engineering Students
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Faculty Members teaching Electric Vehicle Technology