MOTOMANIPAL

MACHINE LEARNING

The Machine Learning subsystem strives to computer programs and optimization tools to enhance mechanical design performance. It enhances racing bike design and performance by utilizing advanced neural networks to optimize top speed and track times. It streamlines management and billing for efficiency . Employs ML to create virtual simulations, allowing precise optimization of design elements before physical prototyping.

MECHANICAL

The Mechanical Subsystem is the core of our e-bike project. Dedicated to crafting a strong, lightweight, and aerodynamically superior frame that delivers top-tier performance. From designing the frame and suspension systems to optimizing braking mechanisms, transmission systems and ensuring ergonomic excellence. create a bike that’s built for speed, durability, and efficiency. This is your chance to apply your engineering knowledge to a hands-on project and collaborate with a dynamic team to push the limits of e-bike technology.

🏁 Basics of Structures:
Stress, Strain, Materials, kinematics.

🏁 Transmission:
Different types, Gear Ratios.

E-POWERTRAIN

E-powertrain subsystem is the essential core of the bike without which it can't function. This subsystem optimizes the battery by designing a functional and ergonomic battery pack for high-efficiency performance. It also specs the motor and motor controller to function at peak performance. A low voltage subsystem operates below 12 volts, handling tasks like communication and control, ensuring safer energy distribution.

🏁 Electric Powertrains Basics:
Motors, Batteries, Controllers.

🏁 Battery Technology:
Types, Charging.

🏁 Basic Electronics:
Electrical Quantities, Circuit Components.

🏁 Power and Energy:
Power Basics, Calculations, Energy Concepts.

MANAGEMENT

The management subsystem acts as a critical subsystem that coordinates various functions to ensure the team's success. It oversees the integration of technical aspects, such as motor performance and battery management, with logistical elements like race strategy, team communication, and resource allocation. Effective management ensures that engineers, riders, and support staff work cohesively, aligning their efforts towards achieving optimal performance on the track. By balancing innovation, efficiency, and teamwork, management helps navigate challenges, adapt to changing conditions, and ultimately drive the team towards victory in the highly competitive world of EV motorbike racing.