Advancing electric motorcycle innovation through transmission simulation


Advancing electric motorcycle innovation through transmission simulation
On-line webinar hosted using GoTo Webinar19 March 202610:30 - 11:30 (Coordinated Universal Time)
Fast, efficient, and cost-effective electric two-wheeler development with transmission simulation
India’s electric two-wheeler (2WEV) market is accelerating faster than ever, driven by innovation, competition, and the demand for affordable, high-performance mobility. For OEMs, startups, and Tier-1 suppliers, meeting ambitious cost, range, and reliability targets requires smarter, faster development — not just more testing.
This webinar explores how component-level simulation and optimisation using Realis SABR can integrate into system level simulation to empower 2WEV developers to design products virtually, improving performance and efficiency whilst reducing physical prototypes. Through a real-world case study and live demonstrations, we will show how gearbox efficiency modelling and optimisation enables engineers to balance component durability and NVH requirements with energy efficiency.
Key takeaways include:
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Component sizing — gear, shaft and bearing — for desired durability and NVH performance.
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Optimised gear design – for energy efficiency.
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Gearbox efficiency modelling – across entire operating range including temperature variation for use in system level simulation in real world driving conditions.
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Attendees will learn how simulation-led development helps teams make earlier, more informed design decisions for gearbox design, reduce dependency on physical iterations, and deliver reliable efficient gearboxes tailored to India’s performance and climate challenges.
Join us to see how Realis Simulation can help your 2WEV product development challenges using the virtual engineering approach.
After registering, you will receive a confirmation email containing information about joining the webinar.
Speaker:
David Parkin-Moore,
Senior Product Manager, Transmission Applications